TechCrunch AI·Tech Journalism·5h agoAI News
Web host Squarespace lays off 19% of its employees
The website builder said that the job losses are part of a broader restructuring of its organization.
Factual 78%Quality 80%
AI Research Feed
Every AI advance worth knowing about, pulled daily from research papers, labs, and the community — scored for how factual vs. opinionated it is, and how well it's written.
🔍
Last updated Nov 2, 2026, 10:12 PM · refreshes automatically every day
How Factual & Quality scores work▾
Factual %
Is it reporting facts or opinion?
- Start: trust level of the source (table below)
- −20 opinion or rumor words (“I think,” “leaked,” “allegedly”)
- +4 concrete events (“released,” “launched,” “study”)
Quality %
How substantive is the write-up?
- Start: writing standard of the source (table below)
- +5 detailed summary (500+ characters)
- −8 thin summary (under 80 characters)
| Starting point | Fact. | Qual. |
|---|---|---|
| Research papersarXiv | 96 | 88 |
| Lab announcementsOpenAI, Anthropic… | 90 | 85 |
| Open sourceGitHub, Hugging Face | 82 | 74 |
| Tech journalismTechCrunch, MIT TR… | 78 | 80 |
| AggregatorsHacker News | 62 | 65 |
| ForumsReddit | 48 | 55 |
80%+55–79%under 55%
Automated rules applied daily: a quick trust signal, not a fact-check.
TechCrunch AI·Tech Journalism·6h agoAI News
New York Times and other outlets sue web browser Brave over alleged content scraping
The New York Times is suing privacy-focused web browser company Brave for allegedly scraping the outlet’s copyrighted content and unlawfully distributing it to its own customers, like Anthropic and Perplexity.
Factual 58%Quality 80%
MIT Technology Review·Tech Journalism·8h agoAI News
Raising the quality of insights in agentic analytics
In just a few years, generative AI has changed the face of enterprise analytics, notably by making analytics accessible to users across the organization. Agentic AI promises to do even more, by automating entire workflows and taking actions based on agent insights. But there is a problem: The quality of insights that agents currently generate…
Factual 78%Quality 80%
TechCrunch AI·Tech Journalism·8h agoAI News
42AI comes out of stealth with $62.5M and a world model that can ‘predict human behavior’
Here's a question straight out of sci-fi: What if AI could predict what you were going to do before you decided to, even in a completely new situation?
Factual 78%Quality 80%
TechCrunch AI·Tech Journalism·8h agoLLMs & Chatbots
Elon Musk throttles Grok Bot limits due to ‘unsustainably high’ costs
Musk recently referred to Grok Bot as having "the fastest growth of a product that I've ever seen in my life."
Factual 78%Quality 80%
OpenAI·Official Announcement·10h agoAI News
Introducing the Grid Protectors Program
OpenAI’s Grid Protectors Program will work with utilities to help future compute campuses support grid reliability and protect consumer electricity costs.
Factual 90%Quality 85%
TechCrunch AI·Tech Journalism·10h agoIndustry & Business
Omen AI adds liquid know-how in $16 million Aquatic Labs acquisition
Two startups tackling the data center water problem are joining forces in a $16 million deal.
Factual 78%Quality 80%
TechCrunch AI·Tech Journalism·11h agoAI News
2 days till TechCrunch Founder Summit: Boston founders don’t need a Silicon Valley address to build something big
TechCrunch Founder Summit happens on November 4 in Boston for a founder-focused agenda and impactful connections. Save up to $100 or get discounts with group passes.
Factual 78%Quality 80%
TechCrunch AI·Tech Journalism·11h agoLLMs & Chatbots
OpenAI is finally merging ChatGPT’s Chat and Work tabs
OpenAI said that ChatGPT and Codex will draw usage from the same allocation pool after this change.
Factual 78%Quality 80%
MIT Technology Review·Tech Journalism·12h agoAI News
Stop counting tokens, start counting what ships
When a developer gives an AI agent a coding task, the agent does more than answer once. It plans, generates code, runs tests, and repeats the process to correct errors. A single task can use 10 to 50 times more tokens than a basic chat prompt. The more useful the agent becomes, the more calls…
Factual 78%Quality 80%
MIT Technology Review·Tech Journalism·15h agoAI News
The agentic web is here
In 2001, a decade after he invented the World Wide Web, Tim Berners-Lee articulated a new vision. Together with two colleagues, he published an article in the magazine Scientific American in which he outlined what he called the “Semantic Web”: an internet designed to be navigated by autonomous software agents that could address our every…
Factual 78%Quality 80%
OpenAI·Official Announcement·16h agoResearch Papers
LifeVal
Introducing LifeVal, a benchmark measuring how well AI helps people complete everyday tasks, from finding childcare to managing finances and government paperwork.
Factual 94%Quality 85%
OpenAI·Official Announcement·1d agoAI News
Qodo builds context into AI code review with Codex
Qodo brings company knowledge and coding standards into Codex, helping developers catch P0 issues across repositories before opening a pull request.
Factual 90%Quality 85%
TechCrunch AI·Tech Journalism·1d agoAI News
OpenAI might rebrand its data centers as ‘AI compute campuses’
Data centers are deeply unpopular. But what if we called them something else?
Factual 78%Quality 72%
TechCrunch AI·Tech Journalism·1d agoAI News
AI can make tech CEOs’ lives easier. What about everyone else?
On Equity, we discuss why tech CEO statements can seem so tone deaf.
Factual 78%Quality 72%
GitHub Trending·Open Source·1d agoAI News
mk7002/aia: artificial intelligence assistants
artificial intelligence assistants
Factual 82%Quality 66%
GitHub Trending·Open Source·1d agoAI News
harshada25more/artificial-intelligence-: practicals of AI lab
practicals of AI lab
Factual 82%Quality 66%
MarkTechPost·Tech Journalism·2d agoOpen Source & Tools
Nace AI Open-Sources Drex Max v1: A 27B Decision Model That Runs Locally on Apple Silicon
Nace AI open-sources Drex Max v1, a 27B multimodal decision model scoring 67.52 that runs on Apple Silicon. The post Nace AI Open-Sources Drex Max v1: A 27B Decision Model That Runs Locally on Apple Silicon appeared first on MarkTechPost .
Factual 78%Quality 80%
MarkTechPost·Tech Journalism·2d agoOpen Source & Tools
DeepSeek Open-Sources dsh-superagent, a Router-Worker Coding Agent
DeepSeek released dsh-superagent, an MIT-licensed research prototype that turns GitHub and Feishu requests into parallel worker sessions. In DeepSeek’s own simulation, p95 task completion fell to 15.7 minutes from 29.5 minutes. The post DeepSeek Open-Sources dsh-superagent, a Router-Worker Coding Agent appeared first on MarkTechPost .
Factual 82%Quality 80%
TechCrunch AI·Tech Journalism·2d agoAI News
Data centers are now a midterm issue, even in Brooklyn
At a Brooklyn midterm party five days before Election Day, every conversation, from a council member’s fireside chat to a debate about the Democratic Party, kept circling back to AI and data centers.
Factual 78%Quality 80%
TechCrunch AI·Tech Journalism·2d agoAI News
Apple CEO says the company doesn’t ‘want to ship AI for AI’s sake’
Apple's new CEO defended the company's current position in the AI landscape.
Factual 78%Quality 72%
TechCrunch AI·Tech Journalism·2d agoAI News
4 days left: How TechCrunch Founder Summit helps you make more useful connections to scale
On November 4 at Boston’s SoWa Power Station, get ready for a full day packed with meaningful networking opportunities, actionable insights, and connections that could change the trajectory of your idea and startup. Register before all prices go up at the door.
Factual 78%Quality 80%
TechCrunch AI·Tech Journalism·2d agoAI News
Judge allows NAACP lawsuit over xAI data center pollution to move forward
An NAACP lawsuit accuses the SpaceX-owned AI company of violating the Clean Air Act.
Factual 78%Quality 80%
TechCrunch AI·Tech Journalism·2d agoIndustry & Business
OpenAI reportedly lowers funding target for new round
OpenAI’s latest funding round doesn't seem to be living up to expectations.
Factual 78%Quality 72%
MarkTechPost·Tech Journalism·3d agoLLMs & Chatbots
Meet Factory Droid 1.0: A Model-Independent Coding Agent Harness Built on Script Mode
Factory released Droid 1.0, a model-independent coding agent harness that makes programmatic tool calling the default. On Factory’s own Terminal-Bench 4 runs, Droid scores 65.2% with Claude Opus 5.5 at $4.73 per passed task. The post Meet Factory Droid 1.0: A Model-Independent Coding Agent Harness Built on Script Mode appeared first on MarkTechPost .
Factual 82%Quality 80%
MarkTechPost·Tech Journalism·3d agoOpen Source & Tools
Vercel Labs Open-Sources agent-desktop for Agent Computer Use
Vercel Labs released agent-desktop, an Apache-2.0 Rust CLI that gives any AI agent computer use on macOS, Windows and Linux by reading OS accessibility trees and acting on stable refs instead of pixels. The post Vercel Labs Open-Sources agent-desktop for Agent Computer Use appeared first on MarkTechPost .
Factual 82%Quality 80%
GitHub Trending·Open Source·3d agoAI News
Seshan24/Natural-Language-Processing-NLP-Module: A collection of practical exercises, assignments, and Python implementations for the Natural Language Processing (NLP) module of the Higher National Diploma (HND) in Computer Science with Artificial Intelligence at NIBM.
A collection of practical exercises, assignments, and Python implementations for the Natural Language Processing (NLP) module of the Higher National Diploma (HND) in Computer Science with Artificial Intelligence at NIBM.
Factual 82%Quality 74%
TechCrunch AI·Tech Journalism·3d agoAI News
Nvidia weighs playing the cosigner for Nscale’s AI data center in West Virginia
When investors get nervous about AI spending, it helps to have the chipmaker that sells the chips offer to cosign the loan.
Factual 78%Quality 80%
TechCrunch AI·Tech Journalism·3d agoAI News
Ollie, a privacy-focused AI assistant, is shutting down
As an increasing number of AI assistants flood the market, the founder of Ollie, an assistant that respected its users' privacy, says it will be shutting down in a week.
Factual 78%Quality 80%
TechCrunch AI·Tech Journalism·3d agoAI News
Intel’s stock crashes, knocking $12B from government’s stake
Intel is being hurt by PC sales as the AI industry gobbles memory and other components causing PC prices to rise.
Factual 78%Quality 80%
TechCrunch AI·Tech Journalism·3d agoIndustry & Business
Anthropic expected to receive high ‘junk’ rating from credit agencies following IPO, FT report says
Blackstone's forecast is just a prediction, but naturally, a high junk rating would make it more difficult and costlier for Anthropic to raise the money to keep funding its massive spending that has undergirded its business.
Factual 78%Quality 80%
TechCrunch AI·Tech Journalism·3d agoAI News
Last-minute Halloween costumes for tech nerds
No Halloween costume? Just be a deceptively cute AI agent icon, a PHP vulnerability, or sleepy time Bryan Johnson.
Factual 78%Quality 80%
TechCrunch AI·Tech Journalism·3d agoAI News
Cracks are emerging in the AI spending boom
Big Tech is pouring billions into AI infrastructure, but mounting debt, negative cash flow, and growing investor skepticism are raising questions about the sustainability of the AI spending boom.
Factual 78%Quality 80%
arXiv·Preprint·3d agoIndustry & Business
GazeRIB: Systematic Evaluation of Multi-Reader Gaze-Guided Chest X-ray Learning
Radiologists' visual attention can supervise medical image learning, but how reader panel composition affects its value remains untested. We evaluated GazeRIB (Gaze-guided Radiologist-Informed Blackout), which masks unviewed regions during training and uses unmasked images at inference. Eight experts repeatedly read the same 80 chest X-rays (CXRs). We…
Factual 96%Quality 93%
arXiv·Preprint·3d agoLLMs & Chatbots
Latent Reasoning in Continuous Space for Unified Multimodal Models
Unified Multimodal Models (UMMs) achieve remarkable success on diverse multimodal understanding and generation tasks, yet they still struggle to effectively leverage language-based chain-of-thought reasoning for image generation. As a result, existing reasoning-augmented UMMs often fail to inherit the test-time scaling and fine-grained controllability…
Factual 96%Quality 93%
arXiv·Preprint·3d agoLLMs & Chatbots
Flide: Accelerating Decision Inference with Exact State Forking
Decision models such as Jev have emerged as a highly promising paradigm for LLM agent systems, providing lightweight and reliable categorical reasoning for rapid System One execution. However, existing generation-oriented inference engines fail to support these workloads effectively, suffering from severe prefix recomputation overheads or distorted output…
Factual 96%Quality 93%
arXiv·Preprint·3d agoAI News
Latent Sparse Attention: Towards Subquadratic Ultra-Long Context Attention
Agentic workflows are increasingly shifting towards long-horizon tasks, such as open-ended scientific work, where models benefit from long context windows. However, at ultra-long context (above 1M tokens), full attention is prohibitively expensive. A promising approach is sparse attention, in which a dedicated indexer selects a subset of keys for the…
Factual 96%Quality 93%
arXiv·Preprint·3d agoComputer Vision
Hierarchical World Models with Implicit Dynamics
Planning with world models enables test-time adaptation for embodied agents, offering superior generalization over direct policy learning. However, long-horizon tasks remain hindered by cumulative errors and search complexity. Existing hierarchical methods often use rigid macro-actions or latent skills, leading to brittle representations and limited…
Factual 96%Quality 93%
arXiv·Preprint·3d agoIndustry & Business
SemEllipsoid: Semantic-aware Shape Abstraction with Ellipsoid
Representing 3D shapes using a set of primitives - known as shape abstraction - is an actively studied problem in computer graphics with wide applications in shape understanding, analysis, and simulation due to the compactness and computational efficiency of the primitive-based representation. Prior work has primarily focused on geometry-aware shape…
Factual 100%Quality 93%
arXiv·Preprint·3d agoRobotics
RoboArchitect: Automating the Design of Robotic Agents with Persistent Memory
Recent work shows that a frozen robot policy performs far better inside an agent harness, where control code decides when to query the policy, consult vision tools, or command the arm directly. Yet today these harnesses are built by hand and redesigned for each new robot or benchmark. We show that harness design can be automated, offering a strong…
Factual 96%Quality 93%
arXiv·Preprint·3d agoAI News
Counting on Dummies: Privacy Amplification with Observable Counts and Truncated Batches
In many practical deployments of Differentially Private Stochastic Gradient Descent (DP-SGD), the server processes data in batches. Randomly sampling these batches allows for better privacy bounds via privacy amplification results. Most sampling schemes with provable privacy amplification, including Poisson sampling and random allocation, result in…
Factual 100%Quality 93%
arXiv·Preprint·3d agoOpen Source & Tools
ReLift: Dense 3D Tracking as Lifted Trajectory Repair
Dense 3D tracking from monocular video requires establishing point correspondences over time, estimating their depth, and inferring their trajectories during occlusion. Existing methods typically learn these tasks jointly, a demanding objective given the scarcity of 4D supervision. We show that strong pretrained 2D trackers and 3D geometry models provide…
Factual 96%Quality 93%
arXiv·Preprint·3d agoComputer Vision
A Better Critic Matters for Distribution Matching Distillation
Distribution Matching Distillation (DMD) trains a few-step student using the difference between a teacher's score and an online critic's estimate of the student distribution's score. We investigate what the critic needs, in capacity and in information, to provide a reliable training signal. On the capacity side, controlled experiments across seven SiT…
Factual 96%Quality 93%
arXiv·Preprint·3d agoAI News
Instance-dependent sequential limits as an exact information ledger
Instance-dependent limits for bandit regret, sequential tests, best-arm identification and Markov decision processes are proved by one chain. It runs from a divergence decomposition through data processing to a statistic, a testing step that turns a class guarantee into a requirement on the history, and optimization over alternatives and allocations. Only…
Factual 96%Quality 93%
Hugging Face·Open Source·3d agoAI News
nemotron-halloween
nemotron-halloween
Factual 82%Quality 66%
arXiv·Preprint·3d agoLLMs & Chatbots
DecisionRank: On-Policy Distillation for Decision-Model Rerankers
Decision models target structured tasks by directly predicting choices or scores, avoiding autoregressive decoding latency. However, transferring a generative LLM's ranking knowledge to a decision model remains challenging: the teacher expresses preferences through a ranked list of document ID sequences, while the student determines the ranking using…
Factual 96%Quality 93%
arXiv·Preprint·3d agoAI News
Physiological Trajectories and Observation Patterns in ICU Mortality Prediction: Transportability Under Changing Measurement Conditions
Objective: To distinguish the transferable predictive value of physiological trajectories from that of observation patterns in ICU mortality prediction, and to assess whether measurement timing affects performance independently of observation quantity. Materials and Methods: In-hospital mortality was predicted at 48 hours using MIMIC-III, MIMIC-IV, and…
Factual 96%Quality 93%
MarkTechPost·Tech Journalism·3d agoOpen Source & Tools
Meet TokenEconomizer: Microsoft’s Plugin That Cuts Coding Agent Costs by Up to 30.9%
Microsoft Research and UC Berkeley released TokenEconomizer, an open-source plugin that learns from past sessions to cut coding agent token costs by 18.4% to 30.9% on SWE-Bench, with no change to the agent. The post Meet TokenEconomizer: Microsoft’s Plugin That Cuts Coding Agent Costs by Up to 30.9% appeared first on MarkTechPost .
Factual 82%Quality 80%
arXiv·Preprint·3d agoResearch Papers
Gradient Descent on Two ReLU Neurons: Global Landscape and Bifurcation Dynamics
Understanding how gradient descent learns features remains a central challenge in neural network theory. We study this question in a minimal multi-index setting that already exhibits rich multi-phase gradient dynamics: a well-specified two-neuron ReLU teacher-student model under isotropic Gaussian inputs, trained by population gradient flow from small…
Factual 100%Quality 93%
arXiv·Preprint·3d agoAI News
Fast Privacy Loss Accounting for Random Allocation via Multiscale FFT
In the random allocation sampling scheme each user's data is used in $k$ steps chosen randomly and uniformly from a sequence of $t$ steps. This scheme is known to improve on Poisson sampling in private optimization and in communication-efficient aggregation. The existing privacy loss distribution (PLD) accountant for this scheme runs in time quadratic in…
Factual 96%Quality 93%
arXiv·Preprint·3d agoLLMs & Chatbots
ACCT: Asymmetric Cross-LLM Context Transfer
In real-world deployments, large language model (LLM) systems are increasingly evolving from single-model invocation toward heterogeneous deployments in which different models are dynamically invoked for inference. When the same context is reused across models, however, each newly selected target model typically has to process it again, repeatedly…
Factual 96%Quality 93%
arXiv·Preprint·3d agoLLMs & Chatbots
Subquadratic Attention with a Hierarchical Tree-Structured Indexer
The quadratic scaling of attention is a fundamental bottleneck limiting the long-context capabilities of large language models (LLMs). A variety of approaches have attempted to circumvent this, but they either fail to match attention's expressiveness (e.g., sliding-window or linear attention variants with fixed-size state) or only achieve constant-factor…
Factual 100%Quality 93%
arXiv·Preprint·3d agoOpen Source & Tools
SATFRONT: Detecting Atmospheric Fronts with Satellite Data using Machine Learning
Atmospheric fronts are associated with much of the high-impact weather in the mid-latitudes, yet their identification and classification remain largely manual and subjective. Existing deep learning approaches rely primarily on gridded reanalysis or forecast data, limiting their applicability to satellite observations available for time-critical…
Factual 96%Quality 93%
arXiv·Preprint·3d agoResearch Papers
Regret-Optimal Wasserstein-Robust Linear Regression
Distributionally robust optimization (DRO) minimizes worst-case risk under distributional uncertainty, but its decisions can be suboptimal in terms of their excess risk, or regret. We study this gap for multivariate least-squares regression, assuming that the observed source law and unknown target law differ by an adversarial 2-Wasserstein perturbation of…
Factual 100%Quality 93%
TechCrunch AI·Tech Journalism·3d agoAI News
Zest’s new AI agent finds restaurants and books reservations over text
Can't agree on where to eat? Zest's AI concierge can combine everyone's tastes, put restaurant options to a vote, and make the reservation.
Factual 78%Quality 80%
arXiv·Preprint·3d agoOpen Source & Tools
Hard Constraint Projection in a Physics Informed Neural Network (Burgers)
Physics informed machine learning provides a framework to study and simulate fluid dynamics, potentially at a fraction of the computational cost of traditional numerical methods, with the goal of improving the explainability, accuracy and robustness of purely data driven machine learning methods. In this work, we extend the hard constraint projection (HCP)…
Factual 100%Quality 93%
arXiv·Preprint·3d agoOpen Source & Tools
Hyperbolic Inverse Reinforcement Learning
Inverse reinforcement learning (IRL) seeks to infer the reward function underlying observed behavior, but its predictive accuracy and interpretability depend on how that reward is computed from the underlying features. While prior IRL reward functions have been implemented through a variety of techniques including linear weights, neural networks, or other…
Factual 100%Quality 93%
arXiv·Preprint·3d agoOpen Source & Tools
Towards Understanding the Impact of Plasticity Loss on Reinforcement Learning in Stochastic Environments
Deep reinforcement learning (RL) is a powerful framework for sequential decision-making. Despite many high-profile successes in recent years, deep RL is known to be brittle. An emerging line of research attributes this brittleness to a loss of plasticity in neural networks. However, plasticity loss has so far been understudied in stochastic environments.…
Factual 100%Quality 93%
arXiv·Preprint·3d agoRobotics
ROOF: Learning Humanoid Fall Recovery under Overhead Constraints
A fallen humanoid beneath an overhead obstacle faces a coupled recovery problem. It must create clearance while organizing support for a stable rise, since attempting to stand before making room can further increase obstruction. We introduce a reinforcement learning method with contact-supported geometric escape guidance, which rewards incremental…
Factual 96%Quality 93%
arXiv·Preprint·3d agoRobotics
CausalWAM: Learning the Causes of Actions in World Action Models
World action models (WAMs) learn latent variables from observations and use these to both predict the evolution of the scene and to generate actions. The prediction has to be of the whole scene, whereas only a portion of the scene causes actions. WAMs fitted to demonstrations do not, in general, guarantee that they will generate actions solely from the…
Factual 96%Quality 93%
arXiv·Preprint·3d agoAI News
Rethinking Asymmetry in Self-Supervised 3D Geometry Learning
Self-supervised learning relies on asymmetry between what a model observes and what it must explain. Recent methods learn 3D geometry from unposed images by predicting cameras and scene structure, then rendering held-out views. To avoid trivial solutions, they impose this asymmetry in the input space, restricting how views interact through separate…
Factual 96%Quality 93%
arXiv·Preprint·3d agoIndustry & Business
Cost-Aware Stopping for Freeze-Thaw Bayesian Optimization: When Does One-Step Lookahead Suffice?
Freeze-thaw Bayesian optimization (BO) evaluates candidates in resumable increments but usually stops at a budget or convergence test. We maximize a budget-free utility, the best observed score minus a cost per increment, with a one-step lookahead: advance the candidate with the largest expected improvement (EI) under a fixed surrogate, and stop once no EI…
Factual 96%Quality 93%
arXiv·Preprint·3d agoLLMs & Chatbots
RangeSWA: Training-Free Length Extrapolation for Continuous Diffusion Language Models
Continuous diffusion language models show promising potential in text generation tasks, but are prone to problems such as text repetition, semantic drift, and generation quality degradation when the generation length exceeds the training length. To address these challenges, we propose RangeSWA, a training-free length extrapolation method. The method…
Factual 96%Quality 93%
arXiv·Preprint·3d agoLLMs & Chatbots
Think in 360°: Benchmarking and Bootstrapping Panoramic Video Reasoning
A panoramic video captures all directions around the camera, but relevant evidence can appear in different directions and at different times. Understanding it requires models to connect observations across the viewing sphere and time. We introduce PanoVideoBench, the first manually annotated benchmark for comprehensive panoramic video understanding. Its…
Factual 96%Quality 93%
arXiv·Preprint·3d agoResearch Papers
Differentially Private Synthetic Data from Sliced Chebyshev Moments
Research on practical differentially private (DP) synthetic data has largely focused on methods that approximately preserve low-dimensional marginals of a target distribution, and can thus only hope to preserve higher-dimensional, global structure as a lucky by-product. At the same time, existing methods that target global accuracy guarantees pay a price…
Factual 96%Quality 93%
MarkTechPost·Tech Journalism·3d agoLLMs & Chatbots
AI Security Agents Compared: Claude, Codex, Mantis, Cloudflare
Anthropic, OpenAI, Cloudflare and Google each released an AI agent that hunts security bugs in source code. All 4 use the same find, disprove, then patch loop. Here is how they differ, plus 12 more tools. The post AI Security Agents Compared: Claude, Codex, Mantis, Cloudflare appeared first on MarkTechPost .
Factual 82%Quality 80%
arXiv·Preprint·3d agoOpen Source & Tools
RAMA: Retrieval-Augmented Multi-Agent Routing with Episodic Memory for LEO Satellite Networks
Low-Earth orbit (LEO) satellite networks present a challenging routing environment due to rapidly changing topology, traffic, and link conditions. Existing deep reinforcement learning (DRL) routing methods typically rely on current observations and information encoded in network weights, limiting their ability to exploit successful past experiences. We…
Factual 96%Quality 93%
arXiv·Preprint·3d agoIndustry & Business
The Knowledge Layer Model (KLM): Evidence-Visible AI Output, Routing Diagnostics, and Negative Results
AI answers require more than apparent correctness: reviewers need to inspect their recorded basis. We introduce the Knowledge Layer Model (KLM), an open, implementation-neutral specification for inference records with versioned epistemic assessments, evidence relations, and explicit unknowns. SEDIM, the knowledge and evidence architecture of Nage AI OS, is…
Factual 96%Quality 93%
arXiv·Preprint·3d agoLLMs & Chatbots
PersonaChatBench: Evaluating Chat Assistants with Diverse Simulated Users
Conversational assistants are expected to help people with diverse backgrounds, preferences, and communication styles. Yet evaluations centered on a single cooperative user provide limited insight into how reliably an assistant serves users with different personas. We introduce PersonaChatBench, a framework for evaluating task competence and responsiveness…
Factual 96%Quality 93%
arXiv·Preprint·3d agoLLMs & Chatbots
CRoS: Causality Reward on Scrambled CoTs Improves Accuracy and Reasoning Faithfulness
Reinforcement learning with verifiable rewards (RLVR) has become the standard method for training language models to reason. However, RLVR typically relies solely on outcome correctness, which does not guarantee that the CoT causally contributes to the final answer. Without this connection, outcome rewards may fail to reinforce high-quality reasoning.…
Factual 96%Quality 93%
arXiv·Preprint·3d agoRobotics
REA: A Routed Embodied Agent Runtime for Asynchronous Brain-Cerebellum Control
Foundation models are becoming remarkably reliable at high-level reasoning, yet they remain too slow and costly to serve as fine-grained controllers. Conversely, fast policies like VLAs and whole-body controllers offer more efficient reflexes, but struggle to generalize. While pairing a deliberative brain (foundation models) with a reactive cerebellum…
Factual 100%Quality 93%
arXiv·Preprint·3d agoRobotics
A Hybrid Path Planning Framework for Assistive Wheelchair Navigation in Dynamic Pedestrian Environments
Autonomous wheelchairs can improve the quality of life for individuals with mobility impairments by providing greater independence. However, reliable navigation especially in human environments is a major challenge due to factors such as dynamic obstacles, unpredictable pedestrian behavior, and the users' need to complete multiple stops along the way…
Factual 100%Quality 93%
TechCrunch AI·Tech Journalism·3d agoAI News
Google’s first data center satellite is online and writing poetry
The first TPU in space is running a Google DeepMind Gemma 4 model and writing cheesy poetry.
Factual 78%Quality 80%
GitHub Trending·Open Source·3d agoAI News
mawaz-dev/AI-Travel-Tourist-Guide: It uses Artificial Intelligence to recommend tourist attractions, suggest travel itineraries, and provide personalized travel information.
It uses Artificial Intelligence to recommend tourist attractions, suggest travel itineraries, and provide personalized travel information.
Factual 82%Quality 74%
TechCrunch AI·Tech Journalism·3d agoIndustry & Business
Theranos whistleblower Tyler Shultz warns that the AI boom is ‘a great opportunity to go deceive people’
The cautionary Theranos tale takes on a new significance in the AI era, when companies that have never turned a profit are raising capital at trillion-dollar valuations.
Factual 78%Quality 80%
NVIDIA Blog·Official Announcement·3d agoAI News
Things That Go Beep in the Night: Agentic AI Joins the Search for Extraterrestrial Signals
While science fiction lore tells us that humans will meet extraterrestrial life in the form of little green men, the detail that should raise hairs this Halloween is this: the search for extraterrestrial intelligence took a major leap forward with AI, and it increasingly focuses on AI agents built by humans listening for AI agents […]
Factual 90%Quality 85%
Google DeepMind·Official Announcement·3d agoAI News
Speeding up planning decisions with AI
Google DeepMind and UK government work together to reduce planning assessment times
Factual 90%Quality 85%
TechCrunch AI·Tech Journalism·3d agoAI News
Skip the small talk: Make game-changing connections at TechCrunch Founder Summit with Braindate
At TechCrunch Founder Summit 2026, happening November 4 at SoWa Power Station in Boston, networking powered by Braindate is designed to make those conversations easier to find, whether they are in 1:1 or small-group on-site meetings. Register before the event starts to save up to $100 on your pass, plus get a second for free.
Factual 78%Quality 80%
GitHub Trending·Open Source·3d agoAI News
inayathasankhan07-ctrl/Artificial-Intelligence-Practicals: new AI project
inayathasankhan07-ctrl/Artificial-Intelligence-Practicals: new AI project
Factual 82%Quality 66%
TechCrunch AI·Tech Journalism·3d agoAI News
DoorDash said it’s only received ‘several hundred’ orders from AI agents
DoorDash said that it is open to working with third-party agent makers.
Factual 78%Quality 72%
TechCrunch AI·Tech Journalism·4d agoAI News
5 days left: Your last chance to connect, scale, and save at TechCrunch Founder Summit 2026
5 days to save up to $100, plus a second pass for free to TechCrunch Founder Summit 2026 in Boston on November 4. Register now.
Factual 78%Quality 80%
TechCrunch AI·Tech Journalism·4d agoAI News
Can AI data centers be mass-produced like cars? This startup aims to find out
Runware is building a factory to turn out prefabricated AI data centers on an assembly line. The real test will be whether it can deliver at that scale.
Factual 78%Quality 80%
GitHub Trending·Open Source·4d agoAI News
liujiayuGIS/gaia: GAIA — Geospatial Artificial Intelligence Assistant · 地理空间人工智能助手盖亚
GAIA — Geospatial Artificial Intelligence Assistant · 地理空间人工智能助手盖亚
Factual 82%Quality 66%
GitHub Trending·Open Source·4d agoAI News
ThreadDesolated/Xiamen-University-Artificial-Intelligence-Challenge: AutoLab：让 Agent 像研究生一样做实验——指标即奖励、失败即归因、配方可迁移、实验可一键复现（第六届厦门大学人工智能挑战赛·赛道二，队伍：泥虾）
AutoLab：让 Agent 像研究生一样做实验——指标即奖励、失败即归因、配方可迁移、实验可一键复现（第六届厦门大学人工智能挑战赛·赛道二，队伍：泥虾）
Factual 82%Quality 66%
OpenAI·Official Announcement·4d agoRobotics
Making it easier for websites to express AI training preferences
OpenAI will honor a shared robots.txt signal to help website operators communicate their AI training preferences to participating providers.
Factual 90%Quality 85%
OpenAI·Official Announcement·4d agoLLMs & Chatbots
Community safety report and new protections for teens
OpenAI is strengthening violence prevention in ChatGPT with expanded safeguards, earlier interventions, and a new commitment to public safety reporting.
Factual 90%Quality 85%
MarkTechPost·Tech Journalism·4d agoLLMs & Chatbots
Samaya AI Releases Sterling: A 3B-Active Finance Research Agent Model that Beats Claude Fable 5.1 on FrontierFinance at 11x Lower Cost
Samaya AI’s Sterling is a post-trained Nemotron 3.5 Lightning model for financial research. It scores 58.9% on FrontierFinance at $0.61 per question, beating Claude Fable 5.1’s 55.9% at $6.89. The post Samaya AI Releases Sterling: A 3B-Active Finance Research Agent Model that Beats Claude Fable 5.1 on FrontierFinance at 11x Lower Cost appeared first on…
Factual 82%Quality 80%
MarkTechPost·Tech Journalism·4d agoAI News
Edge0 Releases Audio8-TTS-Realistic, a 0.6B Voice Cloning TTS Model
Edge0 released Audio8-TTS-Realistic, a 0.6B open-weight zero-shot voice cloning TTS model under Apache 2.0. It supports 23 languages and adds a final GRPO stage driven by a learned realism critic. The post Edge0 Releases Audio8-TTS-Realistic, a 0.6B Voice Cloning TTS Model appeared first on MarkTechPost .
Factual 82%Quality 80%
GitHub Trending·Open Source·4d agoLLMs & Chatbots
VijayKumar0422/ARTIFICIAL-INTELLIGENCE-AND-MACHINE-LEARNING: A collection of my learning journey in Artificial Intelligence (AI) and Machine Learning (ML). My AI/ML learning journey covering Python, SQL, NumPy, Pandas, EDA, Data Visualization, Statistics, Machine Learning, Deep Learning, GenAI, LLMs, Prompt Engineering, RAG, AI Agents, MCP, hands-on projects.
A collection of my learning journey in Artificial Intelligence (AI) and Machine Learning (ML). My AI/ML learning journey covering Python, SQL, NumPy, Pandas, EDA, Data Visualization, Statistics, Machine Learning, Deep Learning, GenAI, LLMs, Prompt Engineering, RAG, AI Agents, MCP, hands-on projects.
Factual 82%Quality 74%
TechCrunch AI·Tech Journalism·4d agoAI News
You don’t need to believe in a god to get a religious exemption from using AI at work
David Durman, a University of Kentucky administrator, recently earned a religious exemption from using AI in the workplace.
Factual 78%Quality 80%
OpenAI·Official Announcement·4d agoAI News
Fair use benefits everyone
OpenAI shares excerpts from court briefs by creators, academics, accessibility advocates, and legal experts, among others, on how fair use supports AI training and innovation.
Factual 90%Quality 85%
TechCrunch AI·Tech Journalism·4d agoIndustry & Business
AWS will be a $1T business, Jassy says — but first, it will spend big
Amazon wants to be the king of AI cloud computing and become the first $1 trillion revenue business. But to do that it will have to continue on its capex spending spree, its CEO said Thursday.
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MarkTechPost·Tech Journalism·4d agoAI News
Baseten Releases joey-1, a 2B Decision Model at $0.01 per 1M Tokens
Baseten has released joey-1, a 2B open-weight decision model that returns calibrated probabilities instead of text. It runs at 20 ms P50 latency and costs $0.01 per million input tokens. The post Baseten Releases joey-1, a 2B Decision Model at $0.01 per 1M Tokens appeared first on MarkTechPost .
Factual 82%Quality 80%
TechCrunch AI·Tech Journalism·4d agoAI News
As search traffic dries up, Reddit announces it’s shifting to a logged-in experience
As AI transforms how people find information online, Reddit is rethinking its open-web roots to protect its audience and business.
Factual 82%Quality 80%
TechCrunch AI·Tech Journalism·4d agoAI News
Rivian expands joint venture with VW to include AI assistant
Rivian doesn't disclose if the value of its $5.8 billion joint venture will expand as a result.
Factual 78%Quality 80%
TechCrunch AI·Tech Journalism·4d agoAI News
OpenAI-backed Thrive Holdings acquires ADT
OpenAI-backed Thrive Holdings is buying ADT in a $15.3 billion deal, with plans to bring AI to the home security business.
Factual 78%Quality 80%
TechCrunch AI·Tech Journalism·4d agoAI News
Meta quietly launches an AI fashion app called Style Sketch
The app connects to Instagram to build a virtual closet from photos you’ve already shared, or lets you add items manually by snapping a photo, recording a quick video, or uploading images from your camera roll.
Factual 82%Quality 80%
MarkTechPost·Tech Journalism·4d agoAI News
Prime Intellect Releases Prime Mega MoE: Trainable Fused MoE Kernel, 3.11x Faster Forward Pass
Prime Intellect released Prime Mega MoE, a backward pass for DeepSeek’s fused Mega MoE kernel. It makes the kernel trainable and speeds Qwen3 MoE training steps by up to 34% in prime-rl. The post Prime Intellect Releases Prime Mega MoE: Trainable Fused MoE Kernel, 3.11x Faster Forward Pass appeared first on MarkTechPost .
Factual 82%Quality 80%
GitHub Trending·Open Source·4d agoAI News
nixnord/claustroscope: ClaustroScope is an artificial intelligence pipeline that evaluates how claustrophobic an image looks and regenerates it into a psychologically distorted canvas reflecting the state of mind of someone trapped inside.
ClaustroScope is an artificial intelligence pipeline that evaluates how claustrophobic an image looks and regenerates it into a psychologically distorted canvas reflecting the state of mind of someone trapped inside.
Factual 82%Quality 74%
arXiv·Preprint·4d agoLLMs & Chatbots
Elucidating the Design Space of LM Data Attribution
Data attribution methods for Language Models (LMs) are typically evaluated using downstream tasks like fact retrieval. However, existing evaluations vary multiple dataset properties simultaneously, making it impossible to isolate exactly why an attribution algorithm fails. To diagnose these failures, we explore the design space of LLM data attribution,…
Factual 96%Quality 93%
arXiv·Preprint·4d agoResearch Papers
Propose-Filter-Release: Scaling Noise to Typical Sensitivity via Private Filtering
An estimator can be accurate and stable on typical data, yet sensitive to a few possible records. Differentially private mechanisms commonly scale their noise to the worst-case influence of a single record, which lets these records dictate the noise even when the remaining data would allow far less. Removing them first would restore the smaller scale, but…
Factual 96%Quality 93%
arXiv·Preprint·4d agoResearch Papers
Micro-Edits: Computational Support for Fine-Scale Edits in Film
In film editing, every frame matters. While macro, content-level edits shape the high-level narrative of a film, small local edits often control timing and direct visual attention. For example, editors can adjust the precise timing of clips to control the length of a meaningful silence, or cut to shots that highlight a specific character's reactions to…
Factual 100%Quality 93%
arXiv·Preprint·4d agoLLMs & Chatbots
Rethinking Neural Thickets Without Weight Perturbations
The Neural Thickets hypothesis posits that pretrained language models lie in dense neighborhoods of task-specific experts in weight space, which random Gaussian perturbations can uncover. We reproduce the reported gains, but show that they do not require this geometric explanation. Perturbing a single decoder block already recovers much of the improvement,…
Factual 96%Quality 93%
arXiv·Preprint·4d agoComputer Vision
Read, Allocate, Route: Role-Coupled Tokenization for Pixel-Space Generative Transformers
Pixel-space generative Transformers typically use one token per image patch, so capturing finer detail requires more tokens and makes global attention increasingly expensive. We observe that finer detail does not necessarily require more global communication: low-frequency structure benefits from global exchange, while high-frequency detail can be modeled…
Factual 96%Quality 93%
arXiv·Preprint·4d agoRobotics
SwapBot: Tool-Centric Robot Manipulation via Interchangeable End-Effectors and Tactile Sensing
Robot manipulation in everyday environments inherently involves substantial tool usage. Seemingly simple household tasks, such as cooking pan-fried tofu, require forceful cutting, delicate brushing, and precise placement using different tools under contact-rich interaction. Thus, the ability to autonomously swap and use task-appropriate tools is important…
Factual 100%Quality 93%
arXiv·Preprint·4d agoAI News
Adaptive Scenario Generation for KL-DRO Around a Learned Density Model
Distributionally robust optimization (DRO) hedges data-driven two-stage stochastic programs against error in the distribution estimated from a finite record, and standard ambiguity sets differ in how they treat realizations absent from that record. A divergence ball around the empirical distribution contains only reweightings of the record, whereas a…
Factual 96%Quality 93%
arXiv·Preprint·4d agoResearch Papers
Luggage re-identification: A study of strategies towards a real-world application
Luggage re-identification (ReID) is a critical task in video surveillance for forensics, security or border management (suspicious or abandoned luggage recognition), as well as luggage management (lost luggage recovery). It enables the association of observations of the same luggage across disjoint camera views in complex environments such as airports,…
Factual 100%Quality 93%
arXiv·Preprint·4d agoAI News
From extreme weather to agricultural consequences with agentic AI
Extreme weather is forecast days ahead, yet its consequences for agriculture remain hard to predict: a forecast says where a storm will strike, not which crops will suffer or how much is at risk, and the records that could tell span many sources. We present WxCrop, the first agent that judges agricultural hazards from physically interpretable weather…
Factual 96%Quality 93%
arXiv·Preprint·4d agoComputer Vision
SonoWorld4D: From One Video to a 4D Audio-Visual Scene via Diffusion Synchronization
Recent progress in visual scene generation has extended beyond static 3D scenes toward the more challenging problem of generating dynamic 4D scenes from minimal input. However, sound, despite being intrinsically coupled with dynamic objects and events, remains largely unmodeled in prior work. We introduce Video-to-4DAVScene, a new task that turns a video…
Factual 100%Quality 93%
arXiv·Preprint·4d agoResearch Papers
world2vec: Mechanistic world models through latent dynamics learning
World models can achieve strong control performance without faithfully capturing the dynamics of their environment, limiting their potential for mechanistic interpretability and scientific discovery. Here, we introduce world2vec to learn mechanistic world models without reward information directly from observations and actions. World2vec learns latent…
Factual 96%Quality 93%
arXiv·Preprint·4d agoResearch Papers
Probing Spatial State Representations in Visual Foundation Models
An observer sees only part of the surrounding world, yet must keep track of what lies beyond the current view. Spatial perception therefore involves more than recognizing individual images: it calls for a persistent spatial state that is updated under self-motion and used to guide action. Do visual foundation models provide representations that support…
Factual 100%Quality 93%
arXiv·Preprint·4d agoRobotics
SymAnt: Grounding Long-Horizon Action Anticipation with Adaptable Symbolic Priors
As robots and intelligent systems increasingly interact with humans, they must anticipate long sequences of future actions from only brief observations. While purely neural models typically require extensive observations to predict future actions and remain difficult to interpret and adjust, symbolic priors offer a structured alternative. To this end, we…
Factual 96%Quality 93%
arXiv·Preprint·4d agoLLMs & Chatbots
ShallowDefend: Harnessing Shallow Safety Alignment for Multi-Turn Defender
Safety alignment has enabled large language models to reliably refuse harmful requests directly, yet the same request distributed across a multi-turn conversation still succeeds far too often. This brittleness has a mechanistic root: Alignment is shallow, with safety behavior concentrated in a model's first few output tokens, and existing defenses inherit…
Factual 96%Quality 93%
GitHub Trending·Open Source·4d agoAI News
Appkademiya/CAISP: The Certified AI Security Practitioner (CAISP) is an advanced, hands-on certification designed for cybersecurity professionals, penetration testers, and DevSecOps engineers who want to master the art and science of securing artificial intelligence systems.
The Certified AI Security Practitioner (CAISP) is an advanced, hands-on certification designed for cybersecurity professionals, penetration testers, and DevSecOps engineers who want to master the art and science of securing artificial intelligence systems.
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arXiv·Preprint·4d agoLLMs & Chatbots
Testimony from Timelines: Evidence-Grounded Significance Testing of Temporal Clinical Hypotheses
Ask a language model whether sales tend to dip after a product recall, or whether one side effect tends to follow another after a vaccine, and it answers in a fluent sentence that reads like a finding, with no test behind it. Assertions about how events unfold across many cases fill the Web, and each is a temporal hypothesis that only a significance test…
Factual 100%Quality 93%
arXiv·Preprint·4d agoComputer Vision
An ODE-based Sampler for Discrete Diffusion Models
The marginals of a continuous diffusion model can be reproduced by a deterministic ordinary differential equation (ODE), known as the probability flow ODE, which provides a foundation for accelerated sampling and consistency distillation. In this paper we address the question whether an analogous formulation exists for discrete diffusion models and answer…
Factual 100%Quality 93%
arXiv·Preprint·4d agoComputer Vision
Difficulty Calibration Across Time for Membership Inference in Diffusion Models
Modern diffusion models are trained on massive datasets that often include copyrighted or private images. Membership inference attacks (MIAs) address this by testing whether a given image was in a model's training set. The standard approach scores an image by its reconstruction loss and flags low-loss images as members. This often fails because some images…
Factual 96%Quality 93%
arXiv·Preprint·4d agoComputer Vision
L3G-World: Real-Time Infinite World Generation with Latent 3D Gaussian Memory
Interactive world models generate visual content conditioned on user actions, yet maintaining spatial consistency over long-horizon exploration in real time remains challenging. Existing approaches rely on either temporal context or explicit 3D memory, both of which scale poorly because memory grows with the length of the generated stream. Moreover,…
Factual 100%Quality 93%
TechCrunch AI·Tech Journalism·4d agoAI News
Granola crunches up a dictation feature to compete with Wispr
Uno reverse! After Wispr added meeting notes to its dictation app, Granola is adding dictation to its meeting notetaker. The voice AI wars are getting interesting.
Factual 78%Quality 80%
arXiv·Preprint·4d agoLLMs & Chatbots
TextSeal2: Distortion-Free LLM Watermarking with Copula Mixing and Memoryless Races
We present TextSeal2, a distortion-free watermark for large language models that keeps its signal under speculative decoding: tokens that replace rejected drafts remain watermarked with the same keys, and the acceptance rate is unchanged. It also preserves output diversity and adds no measurable inference latency. Its predecessor, TextSeal, restores…
Factual 96%Quality 93%
arXiv·Preprint·4d agoLLMs & Chatbots
When to Assist and What to Suggest: Joint Gating and Memory-Grounded Hint Generation in One Compact Decoder
Proactive assistants offer short, memory-grounded hints during a conversation, deciding when to assist and what to suggest. Current systems split this between a gate and a larger generator; we evaluate both together on 28,058 decision points. Stage-wise generation scores are oracle-gate ceilings: behind a real gate, end-to-end exact match is 0.2619 against…
Factual 96%Quality 93%
arXiv·Preprint·4d agoOpen Source & Tools
Fight World Model: Customizable Combat through Visual Interaction Proxies
A playable, programmable game world must maintain persistent state, enforce executable rules, and support extensible gameplay mechanics. Existing video world models can generate plausible combat, yet struggle to keep hit reactions and health updates consistent with game rules. We introduce Fight World Model (FWM), which separates rule-governed combat…
Factual 96%Quality 93%
arXiv·Preprint·4d agoRobotics
A Conveyor Belt Mechanism for Repositionable Magnetic Coupling Between Continuum Robots
This work proposes a novel conveyor belt mechanism enabling continuous, active repositioning of functional elements along the body of a tendon-driven continuum robot. Up to three conveyor belt mechanisms are integrated within a 9 mm diameter continuum robot. We demonstrate equivalent or reduced conveyor belt actuation forces compared to robot tendon…
Factual 100%Quality 93%
arXiv·Preprint·4d agoComputer Vision
HairDeck: Animation-Ready Stylized Hair Cards from a Single Image
The hair of stylized characters in games and avatars is built from hair cards: artist-placed ribbons whose geometry is the visible hair, animated by spring bones. Existing image-based methods produce realistic hair or a single fused mesh, while CHARM, the only generator of stylized hair cards, decodes a hairstyle autoregressively as a long sequence of…
Factual 96%Quality 93%
arXiv·Preprint·4d agoLLMs & Chatbots
Collaborative AI agents for autonomous experimental research with solid-state quantum spins
An autonomous research laboratory could conduct an entire study, from formulating questions to preparing manuscripts. Artificial intelligence (AI) offers one route towards this goal. Recent AI systems take on several research roles, but may draw conclusions that the evidence does not support. Here, we present an autonomous research laboratory in which…
Factual 100%Quality 93%
arXiv·Preprint·4d agoLLMs & Chatbots
Pre-Crime for Agents, at the Last Second: Probing When a Recruited Agent Gives In
When AI agents share channels and credentials, one agent can press another to break its operator's rule, a first step towards collusion. Output filters check only what an agent has already written. Can an overseer tell beforehand that an agent is about to give in? We show that a linear probe on the agent's activations can, in a controlled multi-agent…
Factual 96%Quality 93%
arXiv·Preprint·4d agoResearch Papers
Beyond Ground Truth: A Heuristic Unsupervised Quality Assurance Engine for Diagnosing Calibrational Blindness in Dental Segmentation
In real-world clinical settings, dental X-ray segmentation using deep learning methods suffers from reliability issues. Even when the segmentation quality is bad, deep learning models show high confidence in their predictions (calibrational blindness). Moreover, in real use, doctors do not have ground-truth masks to check their accuracy. To address this…
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arXiv·Preprint·4d agoOpen Source & Tools
Multistatic ISAC with Deep Learning-Based Clutter Suppression for 5G and Beyond
Integrated sensing and communications (ISAC) systems using 5G and beyond signals of opportunity enable joint wireless sensing and communication using shared infrastructure and spectrum resources. While multistatic ISAC can increase sensing coverage with spatially distributed receivers, dense and dynamic clutter can significantly degrade bistatic range and…
Factual 100%Quality 93%
arXiv·Preprint·4d agoLLMs & Chatbots
RADIOlogy: A Single-Pass Approach to Training-Free Zero-Shot Anomaly Detection
Current zero-shot anomaly detection methods often rely on complex prompt-learning techniques or computationally expensive sliding-window strategies to achieve fine-grained visual alignment to detect small-scale anomalies. This reliance stems from the fundamental limitation of standard CLIP architectures, where [CLS] token attention and spatial patch…
Factual 96%Quality 93%
arXiv·Preprint·4d agoLLMs & Chatbots
VeriCUA: Verification as Agentic Exploration for Computer-Using Agents
Building and scaling computer-using agents (CUAs) across desktop, mobile, and web environments requires reliable task-completion verification for data curation, evaluation, and reinforcement learning. Typical automated approaches prompt vision-language models (VLMs) to judge trajectories or generate programs to inspect application state. However, both rely…
Factual 96%Quality 93%
arXiv·Preprint·4d agoAI Safety & Policy
Multi-View MoE: Letting Every Router Shape Expert Computation
Sparse mixture-of-experts (MoE) models expand parameter capacity by activating a small subset of experts per token. Expert selection directly affects model capabilities under a fixed active-expert budget. Dense evaluation of all experts reveals weak agreement between single-router rankings and expert-utility evaluation rankings, especially in middle and…
Factual 96%Quality 93%
arXiv·Preprint·4d agoIndustry & Business
PIVOT: Progressive Intervention via Online Teacher Correction
Reinforcement learning from verifiable rewards (RLVR) is limited by sparse outcome-level feedback on hard reasoning tasks: when all rollouts in a group fail, rewards provide no learning signal. Stronger teachers can provide additional guidance, but this raises a central question: how can such signals be incorporated into RLVR to support successful rollouts…
Factual 96%Quality 93%
arXiv·Preprint·4d agoLLMs & Chatbots
Every Token Needs Its Own Teacher: Multi-teacher Adaptive On-policy Self-distillation
On-policy Self-distillation (OPSD) has proven effective for post-training large language models by constructing a teacher conditioned on privileged references. However, existing approaches keep the teacher fixed either throughout training by consistently exposing it to the full reference, or within each response by adaptively varying partial reference…
Factual 100%Quality 93%
arXiv·Preprint·4d agoRobotics
Gym-Anything for Robotics: Scaling physical simulations with digital agents
Realistic, fast robotics simulations could enable large-scale training of embodied AI models that transfer to the real world. However, despite decades of progress, available simulations cover only a narrow range of real-world tasks and physical phenomena. The core bottleneck is that creating better simulations requires significant expert effort and…
Factual 96%Quality 93%
arXiv·Preprint·4d agoOpen Source & Tools
Training Foundation Models with a Single Algorithm
Foundation models are typically trained in stages: pretraining, midtraining, supervised fine-tuning (SFT), and reinforcement learning (RL), with changes in both data and learning algorithms. We show that this algorithmic separation is not fundamental. By deriving suitable RL objectives as maximum-likelihood fitting to model-generated target distributions,…
Factual 96%Quality 93%
arXiv·Preprint·4d agoLLMs & Chatbots
Comparing Human Role-Players and LLM-Simulated Clients in Online Counselling Training: An Analysis of Counselling Patterns
This study investigates the capabilities of Large Language Models to simulate counselling clients in educational role-plays in comparison to human role-players. Initially, we recorded role-playing sessions, where novice counsellors interacted with human peers acting as clients, followed by role-plays between humans and clients simulated by Mistrals Mixtral…
Factual 100%Quality 93%
OpenAI·Official Announcement·4d agoAI News
An updated Model Spec for more capable and beneficial AI
OpenAI’s updated Model Spec outlines five core values to guide more capable AI toward sound judgment, human agency, and faithfulness to human intent.
Factual 90%Quality 85%
TechCrunch AI·Tech Journalism·4d agoAI News
Mistral releases weights for its trillion-parameter AI model, targeting cybersecurity
Mistral says its new model can afford organizations a kind of control over its cyber defenses that closed models can't.
Factual 82%Quality 80%
TechCrunch AI·Tech Journalism·4d agoAI News
US investigated Chinese spy plot aimed at Nvidia CEO
A top executive of a Singapore AI cloud company that was accused of illegally selling Nvidia chips to China could also have been a Chinese spy, sources have told the New York Times.
Factual 78%Quality 80%
TechCrunch AI·Tech Journalism·4d agoLLMs & Chatbots
Ex-Palantir execs launch Dream with $17M from a16z to build AI world models for construction
Dream is grounded in real physics and construction standards. Just as LLMs learn from text, Dream's world model is trained on more than 100 million square feet of building data gathered from permit archives across the United States.
Factual 78%Quality 80%
NVIDIA Blog·Official Announcement·4d agoAI News
Into the Omniverse: How Developers Turn Ideas Into Simulations With Frontier AI Agents
Turning a simulation idea into a working application means assembling assets, connecting physics and rendering, and checking that the scene behaves as intended. Developers are combining frontier AI models with NVIDIA Omniverse libraries to help carry out that work — building applications for exploring scenarios, investigating failures and improving…
Factual 90%Quality 85%
Microsoft AI Blog·Official Announcement·4d agoAI News
Accelerating Frontier Transformation: Reshape business processes
Discover how organizations are reshaping business processes with AI by connecting knowledge, building trust, and measuring outcomes that create lasting business value. The post Accelerating Frontier Transformation: Reshape business processes appeared first on The Microsoft Cloud Blog .
Factual 90%Quality 85%
TechCrunch AI·Tech Journalism·4d agoIndustry & Business
Wabi, the AI agent that builds mini apps, now valued at $1.25B after latest round
On Thursday, AI app Wabi, now describing itself as a "personal agent," said it has raised $55 million at a $1.25 billion valuation.
Factual 78%Quality 80%
Hugging Face·Open Source·4d agoAI News
Granite Switch 4.1.1 — Update models like you update software
Granite Switch 4.1.1 — Update models like you update software
Factual 82%Quality 66%
NVIDIA Blog·Official Announcement·5d agoAI News
Slice Into GFN Thursday: ‘Phantom Blade Zero’ Launches on GeForce NOW
This Halloween week, GFN Thursday is delivering a fresh batch of gaming treats. Something wicked this blade comes. S-GAME’s Phantom Blade Zero launches on GeForce NOW today, bringing a scarily good blend of martial arts and punk fantasy to the cloud. There’s also something on the horizon for adventurers: World of Warcraft: Forever arrives Wednesday, […]
Factual 94%Quality 85%
TechCrunch AI·Tech Journalism·5d agoAI News
Deepgram acquires Pipecat-maker Daily to bolster its voice AI infrastructure
With Pipecat, Deepgram will likely gain a deeper understanding of real-time voice and video infrastructure.
Factual 78%Quality 80%
TechCrunch AI·Tech Journalism·5d agoAI News
Amazon updates Alexa to help you manage shopping lists and subscriptions and update delivery instructions
The update allows you to use Alexa to create lists, register them, see what's on them, and add or edit items. You can also manage subscriptions.
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MIT Technology Review·Tech Journalism·5d agoAI News
We urgently need to monitor AI agents’ actions in real time
This summer, hundreds of OpenAI agents tried to cheat on a cybersecurity test. They broke out of their test environment and successfully hacked Hugging Face, a site that they believed held clues about how they’d be graded. Around the same time, another OpenAI agent accessed private files from an Australian government website. It’s a problem…
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OpenAI·Official Announcement·5d agoAI Safety & Policy
How we detect frontier model misalignment
OpenAI uses layered monitoring to detect frontier model misalignment and unauthorized agent behavior so responders can intervene before incidents escalate.
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MarkTechPost·Tech Journalism·5d agoOpen Source & Tools
Infini-AI-Lab Releases Hermit, an Open-Source Harness Adapter Framework for AI Agents
Infini-AI-Lab released Hermit, an Apache-2.0 harness adapter framework that trains an external layer of instructions, skills, memory and tools from task feedback, leaving the agent’s model and harness unchanged. The post Infini-AI-Lab Releases Hermit, an Open-Source Harness Adapter Framework for AI Agents appeared first on MarkTechPost .
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MarkTechPost·Tech Journalism·5d agoResearch Papers
Block Unveils Dessa, a Full-Duplex Speech Model Trained Only on Speech
Block’s AI lab released Dessa, a full-duplex speech-to-speech model trained only on human conversation audio. It runs locally on a MacBook Pro M4 Max, but Block has published no size, benchmarks or weights. The post Block Unveils Dessa, a Full-Duplex Speech Model Trained Only on Speech appeared first on MarkTechPost .
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GitHub Trending·Open Source·5d agoResearch Papers
sarahabumandil/-Software-Engineering-Artificial-Intelligence-University-of-Palestine-: A collection of course materials, lecture notes, and study resources for students of the College of Software Engineering & Artificial Intelligence (SEAI) at the University of Palestine
A collection of course materials, lecture notes, and study resources for students of the College of Software Engineering & Artificial Intelligence (SEAI) at the University of Palestine
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MarkTechPost·Tech Journalism·5d agoAI News
AssemblyAI Ships AssemblyAI-TTS-1: A $15 per 1M Character Text-to-Speech API for Voice Agents
AssemblyAI has released AssemblyAI-TTS-1, its first text-to-speech model for voice agents. It costs $15 per 1M characters, offers unlimited concurrency without a contract, and supports 6 languages at launch. The post AssemblyAI Ships AssemblyAI-TTS-1: A $15 per 1M Character Text-to-Speech API for Voice Agents appeared first on MarkTechPost .
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OpenAI·Official Announcement·5d agoAI News
How Ropes & Gray is developing AI for transactional diligence
Ropes & Gray is developing AI for transactional diligence with OpenAI. Lawyers review grouped documents, summaries, and reports before advising clients.
Factual 90%Quality 85%
MarkTechPost·Tech Journalism·5d agoLLMs & Chatbots
NVIDIA Releases Nemotron 3.5 Transcribe: An Open 30B MoE Model for 40-Language Transcription with ~4B Active Parameters
NVIDIA released Nemotron 3.5 Transcribe, an open-weights speech LLM with 4.3B active parameters. It transcribes 40 languages, adds speaker labels and word timestamps, and posts a 4.71% mean WER on the English Open ASR Leaderboard. The post NVIDIA Releases Nemotron 3.5 Transcribe: An Open 30B MoE Model for 40-Language Transcription with ~4B Active…
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Hugging Face·Open Source·5d agoAI News
Announcing Project ProtoStar: Making Publicly Funded Science AI-Ready
Announcing Project ProtoStar: Making Publicly Funded Science AI-Ready
Factual 82%Quality 66%
Hugging Face·Open Source·5d agoAI News
Welcome Le Chonk: Mistral Large 4 on Hugging Face
Welcome Le Chonk: Mistral Large 4 on Hugging Face
Factual 82%Quality 66%
Hugging Face·Open Source·5d agoAI News
Introducing AnySpeechRecognizer and AnyDecisionModel: Open Models for Speech and Decisions on Apple Platforms
Introducing AnySpeechRecognizer and AnyDecisionModel: Open Models for Speech and Decisions on Apple Platforms
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OpenAI·Official Announcement·5d agoLLMs & Chatbots
Credit Saison achieves 954% ROI in a ChatGPT Enterprise pilot
Credit Saison’s ChatGPT Enterprise pilot delivered 954% ROI. See how leaders and employees helped turn the results into companywide adoption.
Factual 90%Quality 85%
TechCrunch AI·Tech Journalism·5d agoIndustry & Business
Microsoft just shared Azure’s actual revenue in dollars: $33.2 billion
Microsoft has never disclosed Azure's quarterly revenue in dollars. But for the first time, we can see just how close it is getting to besting the biggest competitor in the market, AWS.
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TechCrunch AI·Tech Journalism·5d agoIndustry & Business
Google expands AI Search ads globally as core ad growth slows
The announcement came alongside parent company Alphabet's third-quarter earnings report, which saw revenue grow 25% year over year to $127.6 billion.
Factual 78%Quality 80%
TechCrunch AI·Tech Journalism·5d agoIndustry & Business
Microsoft recorded $10 billion in revenue from OpenAI
Microsoft said it made $10 billion in revenue from commercial arrangements with OpenAI, including revenue-sharing payments, in the quarter ending September 30. It underscores the still-enormous financial dependency of the partnership.
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TechCrunch AI·Tech Journalism·5d agoIndustry & Business
Microsoft hits 10 quarters of record-breaking revenue in a row
Whatever the future of AI might be, the current situation is still very good for Microsoft. The tech giant reported yet another record for quarterly revenue on Wednesday: $92.3 billion, a 19% increase over the year-ago quarter.
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MIT Technology Review·Tech Journalism·5d agoAI News
Creating AI value with enterprise context
Across a business, any number of AI platforms, systems, and tools may be at work simultaneously—for example, AI-powered customer platforms, conversational assistants, and workflow and process automation tools. Each one is sophisticated, advanced, and quick to respond. But, when set to work, the outcomes and actions that emerge may be wrong, confused, or…
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TechCrunch AI·Tech Journalism·5d agoIndustry & Business
Anthropic just launched tools to show companies what their AI spending is buying
The frontier lab is lifting the curtain on how users spend money on its models ahead of a planned IPO.
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TechCrunch AI·Tech Journalism·5d agoOpen Source & Tools
Wiz’s CTO on PHP2Shell and the coming ‘vulnpocalypse’
The PHP scare may have faded from your feed, but the cleanup is far from over. Last week, two critical bugs in the open source language behind roughly 70% of websites left organizations scrambling to fix their systems, with some taking sites offline until the vulnerabilities could be patched. According to researchers who found the […]
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TechCrunch AI·Tech Journalism·5d agoOpen Source & Tools
The ‘Vulnpocalypse’ is coming for the internet’s aging code, says Wiz’s CTO
The PHP scare may have faded from your feed, but the cleanup is far from over. Last week, two critical bugs in the open source language behind roughly 70% of websites left organizations scrambling to fix their systems, with some taking sites offline until the vulnerabilities could be patched. According to researchers who found the […]
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MarkTechPost·Tech Journalism·5d agoLLMs & Chatbots
Google DeepMind Introduces Gemini 4 Carbon, Its Top Model for Cyber Defense and Coding
Google DeepMind introduced Gemini 4 Carbon, a frontier model that scores 59 on the Artificial Analysis Intelligence Index and 88.2% on SEC-bench Pro. Access starts with vetted cyber defenders, at $2/$10 per million tokens. The post Google DeepMind Introduces Gemini 4 Carbon, Its Top Model for Cyber Defense and Coding appeared first on MarkTechPost .
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MarkTechPost·Tech Journalism·5d agoOpen Source & Tools
MiniMax Open-Sources MCode Stack: 15 Agent Skills Its Coding Team Uses Daily
MiniMax has open-sourced MCode Stack, an MIT-licensed repo of 17 SKILL.md skills and 5 checklists that its MiniMax Code team uses daily for code review, subagent splits, context budgets and long-running commands. The post MiniMax Open-Sources MCode Stack: 15 Agent Skills Its Coding Team Uses Daily appeared first on MarkTechPost .
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Google DeepMind·Official Announcement·5d agoLLMs & Chatbots
Gemini 4 Carbon: Our next frontier model
Gemini 4 Carbon: Our next frontier model
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TechCrunch AI·Tech Journalism·5d agoAI News
Chrome’s AI-powered Autofill can now dig through your Gmail to fill out forms
The autofill update lets Chrome pull flight confirmations, tracking info, order details, and other information from your inbox, with your permission.
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TechCrunch AI·Tech Journalism·5d agoLLMs & Chatbots
As AI agents reshape the web, Google opens Gemini and Search to more apps
A new developer platform will let businesses bring their services to Google's AI experiences, potentially changing how consumers discover and use apps.
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TechCrunch AI·Tech Journalism·5d agoAI News
AI execs may be too out of touch to build for the general public
Tech leaders are flaunting how out of touch they are when they brag about using AI to connect with their families.
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TechCrunch AI·Tech Journalism·5d agoAI News
South Korea’s financial industry hit by fresh wave of cyberattacks
South Korea’s financial institutions have been hit by another wave of cyberattacks, highlighting the growing risk of AI-driven hacking in Asia.
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GitHub Trending·Open Source·5d agoAI News
linajadhav55-pixel/Role-of-Artificial-Intelligence-in-Drug-Discovery-: This research summary explores the role of Artificial Intelligence in drug discovery and clinical research, focusing on its applications, benefits, recent advances, challenges, ethical concerns, and future potential in improving drug development and patient care.
This research summary explores the role of Artificial Intelligence in drug discovery and clinical research, focusing on its applications, benefits, recent advances, challenges, ethical concerns, and future potential in improving drug development and patient care.
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NVIDIA Blog·Official Announcement·5d agoAI News
Thin, Light and Built for Everything: NVIDIA RTX Spark Windows Laptops Gain New Models, Agent Tools and Games
NVIDIA RTX Spark powers thin and light laptops built for everything that developers, creators and gamers do. RTX Spark laptops are now available from ASUS, Dell, HP, Lenovo, Microsoft and MSI. These powerful systems combine an NVIDIA Blackwell RTX GPU and an NVIDIA Grace CPU in a single superchip with up to 128GB of unified […]
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TechCrunch AI·Tech Journalism·5d agoAI News
Voice AI in vogue: Nvidia releases new open transcription model
Nvidia just released a free speech-to-text model that can transcribe up to 40 languages, but it only works on recordings, not live audio, so it’s a big step for meeting and medical transcription tools while still leaving real-time use to rivals like ElevenLabs.
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Hugging Face·Open Source·5d agoAI News
NVIDIA Nemotron 3.5 Transcribe and Granary v2: Intelligent Multilingual Transcription You Can Prompt and Adapt
NVIDIA Nemotron 3.5 Transcribe and Granary v2: Intelligent Multilingual Transcription You Can Prompt and Adapt
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OpenAI·Official Announcement·6d agoLLMs & Chatbots
OpenAI and ServiceNow expand partnership across enterprise workflows
OpenAI and ServiceNow expand their partnership to bring OpenAI models and agents into ServiceNow and ServiceNow workflows into ChatGPT and Codex.
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TechCrunch AI·Tech Journalism·6d agoAI News
7 days until TechCrunch Founder Summit: Save up to $100 on your pass before doors open
In just 7 days, TechCrunch Founder Summit takes over Boston’s SoWa Power Station on November 4. Your chance to save up to $100 on tickets is running out, and the opportunity to learn and connect directly with experienced founders, investors, and startup leaders is almost here.
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MIT Technology Review·Tech Journalism·6d agoAI News
Pairing industrial AI autonomy and human control
Pairing industrial AI autonomy and human control
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OpenAI·Official Announcement·6d agoAI News
The future of the firm
How AI might enter the org chart—beneath, beside, and between us.
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OpenAI·Official Announcement·6d agoLLMs & Chatbots
Legora is building the agentic operating system for legal work
See how Legora uses OpenAI models, ChatGPT, and Codex to accelerate legal workflows, expand contract analysis, and free lawyers to focus on higher-value work.
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OpenAI·Official Announcement·6d agoLLMs & Chatbots
Legora is building the agentic operating system for legal work
See how Legora uses OpenAI models, ChatGPT, and Codex to accelerate legal workflows, expand contract analysis, and free lawyers to focus on higher-value work.
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MarkTechPost·Tech Journalism·6d agoLLMs & Chatbots
Polymathic AI and Princeton Researchers Release FlashMap, a Flow Map Drafter for 6.14x Faster LLM Decoding
FlashMap is a speculative decoding drafter from Polymathic AI, Princeton and USC ISI researchers. It drafts 16 tokens jointly in one pass and reaches up to 6.14x lossless speedup on Qwen3-8B. The post Polymathic AI and Princeton Researchers Release FlashMap, a Flow Map Drafter for 6.14x Faster LLM Decoding appeared first on MarkTechPost .
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MarkTechPost·Tech Journalism·6d agoLLMs & Chatbots
Meet Google DeepMind’s Genie 4: Real-Time World Model With Native Audio
Google DeepMind released Genie 4 as a research preview. The real-time world model adds native audio, live dialogue and text steering, with Gemini 3.8 Flash planning events inside the simulation loop. The post Meet Google DeepMind’s Genie 4: Real-Time World Model With Native Audio appeared first on MarkTechPost .
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TechCrunch AI·Tech Journalism·6d agoIndustry & Business
VCs will make billions on Anthropic’s IPO, but Amazon is set to make much (much) more
Massive note conversions reveal the true extent of Amazon's ownership in Anthropic.
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TechCrunch AI·Tech Journalism·6d agoLLMs & Chatbots
Parents sue OpenAI, alleging GPT-4o coached their daughter off seizure medication
A family is suing OpenAI, saying ChatGPT coached their daughter to quietly taper off her seizure medication and keep it from her doctors before she died in February.
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TechCrunch AI·Tech Journalism·6d agoAI News
The data center boom has an upside: innovation for the US grid
As the AI boom stresses the existing power grid, all sorts of new opportunities for grid modernization are also emerging as a result, industry insiders say.
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MarkTechPost·Tech Journalism·6d agoOpen Source & Tools
Meet LEANN: An Open-Source Vector Index that Shrinks a 60M-Chunk RAG Index from 201 GB to 6 GB
UC Berkeley’s LEANN vector index stores a pruned graph and recomputes embeddings at query time. It matches HNSW accuracy at 90% recall using 4 GB instead of 188 GB, at the cost of seconds-level search. The post Meet LEANN: An Open-Source Vector Index that Shrinks a 60M-Chunk RAG Index from 201 GB to 6 GB appeared first on MarkTechPost .
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TechCrunch AI·Tech Journalism·6d agoAI News
Bank of America kindly asks that you don’t share your banking password with your AI assistant
The banking giant reminds customers that "you're responsible for activity" resulting from your AI agents' access.
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TechCrunch AI·Tech Journalism·6d agoAI Safety & Policy
Who’s really in charge at Anthropic after the IPO?
Here's a clear explanation of Anthropic's incredibly complex governance structure.
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MarkTechPost·Tech Journalism·6d agoAI News
Liquid AI Releases LFM3: 6 Open-Weight 2B-Class Multimodal Models
Liquid AI released LFM3, 6 open-weight 2B-class models for text, vision, audio, omni and decisions. LFM3-1.7B uses a tri-hybrid backbone, a 256K context window and fits in about 1 GB at 4-bit. The post Liquid AI Releases LFM3: 6 Open-Weight 2B-Class Multimodal Models appeared first on MarkTechPost .
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TechCrunch AI·Tech Journalism·6d agoIndustry & Business
Disruptive raises $10B fund to make big bets on at least 10 companies
Disruptive has made headlines in recent years for pouring money into companies like chip startup Groq and the AI voice-generation startup ElevenLabs.
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arXiv·Preprint·6d agoResearch Papers
Honeycomb-Surfels: Compact Hexagonal Primitives for Efficient Scene Rendering and Reconstruction
Novel view synthesis and 3D reconstruction have advanced rapidly with radiance fields and splatting, yet their memory and computational demands limit their use in resource-constrained settings. We introduce Hexels: novel planar hexagonal surface elements with a first-order spatial color field for efficient 3D scene and 2D image representation. Hexels…
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arXiv·Preprint·6d agoRobotics
ThinkWorld: World Imagination Reinforces Chain-of-Dynamics Reasoning
Vision-Language-Action (VLA) models have made substantial progress in robotic manipulation, but their generalization remains constrained by the diversity and coverage of action-labeled robot demonstrations. Human videos provide much broader behavioral and environmental experience, while learning from them faces a fundamental trade-off between scalable data…
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arXiv·Preprint·6d agoOpen Source & Tools
Can Discrete Tokens Serve as Semantically Lossless Representations of Visual Signals?
Discrete visual tokens represent vision in a discrete form analogous to language, offering a native interface for multimodal modeling under a shared next-token prediction objective. However, quantization error is widely assumed to cause unavoidable semantic loss, fundamentally limiting the semantic fidelity of discrete visual tokens and positioning…
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arXiv·Preprint·6d agoAI News
When Should We Intervene at Test Time?
Test-time adaptation helps a deployed model respond to changing inputs, but the same intervention can rescue one batch and damage the next. Updating normalization statistics, for example, can improve corrupted images yet fail when a batch contains mostly one class. Average accuracy hides these failures and cannot tell a model when to use an intervention.…
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arXiv·Preprint·6d agoLLMs & Chatbots
Heads of Security: Learned Attention Gates Improve Prompt Injection Robustness
We introduce Heads of Security (HoS), a prompt injection defense that enforces instruction-data separation via a small set of learned per-head attention gates. HoS learns how each head should redistribute attention between trusted and untrusted tokens, enabling models to reason over untrusted content without following injected instructions. We evaluate HoS…
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arXiv·Preprint·6d agoAI News
Attention as Lattice Gauge Theory: Relations Interact Only Through Wilson Loops
Relations compose through the entity they share - Alice is Bob's mother and Bob is Carol's father, so Alice is Carol's grandmother - and the order matters, since a father's mother is not a mother's father; verifying a composed relation means closing the loop. We show that if each entity's coordinate frame may be rotated independently (per-entity frame…
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arXiv·Preprint·6d agoOpen Source & Tools
KPPax: preprocess differentiable kinetic ODE for machine learning in atmospheric chemistry
Atmospheric chemical mechanisms are commonly distributed in the language of the Kinetic PreProcessor (KPP), which generates efficient Fortran or C code but does not fit into the differentiable programming frameworks in which machine-learning models are developed. We present KPPax, a kinetic preprocessor that generates differentiable, just-in-time compiled,…
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arXiv·Preprint·6d agoRobotics
Pushing Dexterity and Safety for In-Hand Object Pose Reaching That Works Remarkably Well
Dexterous manipulation with multi-fingered hands is the next frontier of robotics, yet learned hand skills remain limited to simple grasps or basic repeated motions, such as rotating an object. As robots attempt more demanding in-hand maneuvers, safety, such as not dropping the object, becomes critical, yet it is rarely measured. We study in-hand object…
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arXiv·Preprint·6d agoLLMs & Chatbots
GEPA-Curator: Curated Learning for Self Improving Agents
Large Language Models (LLMs) are increasingly used in multi-turn agentic workloads that require sustained interaction with complex environments. Existing reflective prompt optimizers such as GEPA learn from failed rollouts, but agentic failures can also come from prompt weaknesses, harness limitations, stochastic execution, or noisy judges. We argue that…
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arXiv·Preprint·6d agoLLMs & Chatbots
Can LLMs Uncover Hidden Physical Laws through Free Exploration?
Scientific discovery often begins with an unexpected observation that prompts a new research question. In a world with altered physical laws, can large language models (LLMs) notice unexpected behavior, such as heavier objects falling more slowly, and discover the law through experiments without being told what to investigate? To evaluate this ability, we…
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arXiv·Preprint·6d agoLLMs & Chatbots
Scaling Laws for Tool-Use Agents via Controllable Environment Synthesis
We explore how to build performant large language model (LLM) tool-use agents that complete complex, multi-step tasks. Specifically, we study how data composition in synthetically generated tool-use environments affects the training of such agents. To do so, we propose the SynthAPI pipeline, which explicitly controls the diversity of generated environments…
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arXiv·Preprint·6d agoLLMs & Chatbots
MuonGS: Pretraining LLMs with Relaxed Weight-Norm Control
Weight decay and explicit weight-norm constraints improve optimizer performance in language model pretraining, yet a unified understanding of why such control helps and how much is needed remains incomplete. We analyze norm control in Muon over the entire training trajectory using the \emph{accumulated effective learning rate},…
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arXiv·Preprint·6d agoLLMs & Chatbots
Multi-State Linear Attention with Generalized Second-Order Routing
Self-attention plays a key role in long-sequence modeling, but its quadratic time complexity fundamentally limits the scaling of Large Language Models. Recently, Multi-State Linear Attention (MSLA) mechanisms have been proposed to make sequence modeling more efficient by splitting the context into segments and compressing each in its own memory state. MSLA…
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arXiv·Preprint·6d agoLLMs & Chatbots
Metacognitive Decoding: Efficient Inference for Diffusion Language Agents
Diffusion language models offer a promising path to efficient agents through parallel token generation. However, efficient interaction requires adapting both where computation is spent and how much text is generated. We introduce a metacognitive controller that guides diffusion generation according to the needs of the current response and the agent's…
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arXiv·Preprint·6d agoComputer Vision
Repurposing Video Diffusion Transformers for Cross-View Temporal Object Correspondence
Cross-view object correspondence identifies the same object across views. However, existing methods often rely on frame-wise matching or sequential tracking, which can propagate correspondence errors under appearance changes or occlusions. Therefore, we introduce cross-view temporal object correspondence, which requires preserving object identity across…
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arXiv·Preprint·6d agoLLMs & Chatbots
What Improves During Pretraining? Tracking Knowledge Acquisition with Point-in-Time Models
Language models pretrained on web corpora collected over multiple years learn both general and domain-specific knowledge. How these different kinds of knowledge are learned as pretraining progresses remains unclear. Recent point-in-time models trained on web snapshots from different years provide a way to probe how knowledge prevalence varies over time.…
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arXiv·Preprint·6d agoComputer Vision
Know, then Draw: A New Learning Paradigm for Visual Generation
Visual generation requires both high-level semantic knowledge and fine-grained pixel details. We propose a learning paradigm that assigns these roles to autoregressive pretraining for knowledge acquisition and diffusion post-training for high-fidelity rendering. Within this framework, we study the objective, representation, and scaling of knowledge…
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arXiv·Preprint·6d agoLLMs & Chatbots
Rare, Relevant, and Still Wrong: How Memory Fails LLM Group Decisions
When an LLM group's discussion is compressed into a short memory for a final decision maker, what should the memory keep? Two natural heuristics keep the rarest claims or the claims relevant to the decision criteria. On hidden-profile tasks both look attractive, because how widely a fact is held is confounded with whether it helps. We introduce…
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arXiv·Preprint·6d agoLLMs & Chatbots
Perceiving and Predicting Dynamic Sports: Spatiotemporal Intelligence in Vision Models for Egocentric Tennis Video
Agile robots require spatiotemporal intelligence to interpret scenes, reason about interactions, and anticipate future events. Yet it remains unclear how well foundation vision models support these capabilities, particularly from a moving egocentric camera, which is a natural view for robots. To investigate this, we collect an annotated tennis dataset and…
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arXiv·Preprint·6d agoLLMs & Chatbots
VideoLVR: Latent Visual Reasoning over Grounded Video Evidence
Chain-of-thought reasoning has substantially advanced video understanding in multimodal large language models (MLLMs). However, language-based reasoning traces do not provide a reliable mechanism for models to revisit relevant visual evidence, leading to visual forgetting and impairing their ability to reason over video content. Existing approaches…
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arXiv·Preprint·6d agoIndustry & Business
EnvSched: Environment-Aware Scheduling for Rollout-Efficient Agent Reinforcement Learning
As executable environments for language agents scale, generating and verifying their rollouts becomes increasingly expensive. Under finite rollout budgets, this raises an important question: can data management at the environment level make agentic reinforcement learning (RL) more efficient by organizing, evaluating, and scheduling task instances together…
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arXiv·Preprint·6d agoLLMs & Chatbots
Beyond Answer Changes: Matched Same-Class Controls for Local Audio Evidence
For audio-language models, an answer change after a local sound-event edit can reflect a response to the event's class, sensitivity to waveform rewriting, or both. We compare matched same-class and different-class replacements of a queried event. Both use the same interval, level estimate, donor fitting, and crossfade, while the same-class replacement…
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arXiv·Preprint·6d agoOpen Source & Tools
RESPLE2: Inertial-Informed Recursive Non-Uniform Spline Estimation for Multi-Sensor Odometry with Global Refinement
We present RESPLE2, a recursive multi-sensor state estimation framework using non-uniform B-splines for 6-DoF motion representation. By exploiting the knot-clamping boundary property, we propose a theoretically grounded mechanism for exact control-point prediction directly informed by inertial kinematics along the trajectory, with knot placement adapted to…
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arXiv·Preprint·6d agoComputer Vision
MoI-Bench: A Benchmark for Image Generation and Editing on Mobile Devices
Developing on-device image models requires considering practical user needs, task types and device resource constraints. However, existing benchmarks provide limited guidance on identifying capability gaps between on-device models and server-side models. We introduce MoI-Bench, a benchmark grounded in mobile user needs, comprising 64 subtasks and 1150…
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arXiv·Preprint·6d agoComputer Vision
GAS-PFN: Graph-Aware Spatiotemporal Prior-Data Fitted Networks for Zero-Shot Traffic Forecasting
Traffic forecasting requires modeling complex temporal dynamics and the spatial dependencies imposed by road topology. Supervised graph-based models achieve strong performance, but are often trained for a particular dataset and sensor graph, making deployment to new or evolving networks costly. Prior-Data Fitted Networks (PFNs) offer a zero-shot…
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arXiv·Preprint·6d agoIndustry & Business
Understanding the limits of latent world models
World models are widely proposed as core components for enabling agents to reason over long temporal and spatial horizons. Yet current evaluations often emphasize task performance while providing limited insight into whether learned world models acquire predictive latent dynamics that reflect the underlying structure of the environment. Here we introduce…
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arXiv·Preprint·6d agoOpen Source & Tools
Timestral
We introduce Timestral, a family of four time series foundation models for probabilistic forecasting, with 5M, 28M, 123M, and 209M parameters. Timestral sets a new state of the art on GIFT-Eval, TIME, and fev-bench, where Timestral-209M and Timestral-123M take the top two places on every metric. We achieve this with three ingredients: Decoupled Horizon…
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arXiv·Preprint·6d agoOpen Source & Tools
REGER: Modeling inter-item Relations with Semantic IDs for Generative Recommendation
Personalized recommendation depends on learning semantic and collaborative relations among items from online content and user interactions. Generative recommendation (GR) offers a promising paradigm by autoregressively generating discrete semantic IDs (SIDs) of items. However, randomly initialized SID token embeddings and GR models trained from scratch do…
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arXiv·Preprint·6d agoOpen Source & Tools
Zero-Shot Multimodal Event Spotting in Soccer Broadcasts
Automatic soccer event spotting supports highlight generation, video indexing, and sports analytics, but existing methods depend on large annotated datasets and soccer-specific training. We present a zero-shot framework that detects, classifies, and temporally localizes events in full-length soccer broadcasts without task-specific parameter training. Each…
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arXiv·Preprint·6d agoRobotics
EgoThumb: A Vision-Driven Supernumerary Robotic Thumb for Autonomous Grasp and Holding Assistance
Supernumerary robotic fingers augment human dexterity by enabling a single hand to perform complex "hold-and-manipulate" tasks that typically require bimanual coordination. However, existing devices are often hindered by bulky hardware that limits interaction to large objects and rely on explicit hand motion triggers that lack environmental context. To…
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arXiv·Preprint·6d agoResearch Papers
Spectral Braids: A Topological Descriptor for Dynamic Directed Networks
Eigenvalues are a workhorse of graph machine learning: spectral clustering, spectral graph neural networks, and graph kernels all summarize a network by the eigenvalues of a matrix. These eigenvalues are almost always treated as a static list of numbers. When a graph changes, however, its eigenvalues move, and when the matrix is not symmetric, they move in…
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arXiv·Preprint·6d agoLLMs & Chatbots
As the Story Unfolds: Watching a Film and Identifying Characters as a Human Does
Films introduce characters incrementally as they progress. We study the problem of identifying principal characters and assigning their names directly from the movie itself, without using external cast lists, actor photographs, or pre-built character banks. We introduce the character naming task: given a name mentioned in dialogue and the associated video…
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arXiv·Preprint·6d agoComputer Vision
The Noise Plane: A Diffusion Bridge Across Exponent and Dispersion
Diffusion-based denoising commonly uses Gaussian perturbations, whereas sensor noise follows diverse signal-dependent statistical laws. In this paper, we propose $p$-Bridge, a unified measurement-indexed diffusion framework for Tweedie noise. The noise exponent $p$ describes the variance--intensity relation, while accumulated measurement $ν$ controls the…
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Hugging Face·Open Source·6d agoAI News
Build specialized multimodal models with LFM3
Build specialized multimodal models with LFM3
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arXiv·Preprint·6d agoLLMs & Chatbots
TeamGym: A Gym for Team Decision-Making by AI Agents with Distributed Information
Many real-world decisions require teams to integrate information distributed across participants. Yet AI agents are still primarily trained and benchmarked in isolation. We introduce TeamGym, an environment for evaluating and training language model-based agents on team decision-making problems constructed from real-world legal, finance, medical, and…
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arXiv·Preprint·6d agoLLMs & Chatbots
LCM-Promo: An LLM-Based Uplift Model for Promotion Allocation
We present LCM-Promo, an LLM-based uplift model for promotion allocation. LCM-Promo is a task-specific Large Commerce Model (LCM): a finetuned LLM trained on transactional commerce data to predict user intent and promotion response. It learns monotonic promotion-response curves from production logs by interpreting single-token outputs as…
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TechCrunch AI·Tech Journalism·6d agoAI News
Frontier AI labs say their models refuted the Exponential Time Hypothesis. What does that mean?
TechCrunch spoke to the MIT computer scientist charged with explaining OpenAI's latest mind-bending discovery.
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TechCrunch AI·Tech Journalism·6d agoAI News
Google’s Genie 4 world model adds audio, more realistic worlds, and real-time steering
Genie 4 can maintain a consistent scene for up to two minutes, double Genie 3's limit, and offers better physics and more humanlike characters.
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Hugging Face·Open Source·6d agoLLMs & Chatbots
Can we trust LLMs to judge whether a research idea is novel?
Can we trust LLMs to judge whether a research idea is novel?
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Google DeepMind·Official Announcement·6d agoAI News
Genie 4: A new generation of world simulation
Genie 4: our new world model unlocking unprecedented realism in real-time simulation.
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NVIDIA Blog·Official Announcement·6d agoAI News
How AI Is Changing the Pace of Discovery for Millions Living With Dementia
There are 57 million people worldwide living with dementia today. For the researchers working to help them, the obstacle isn’t a lack of effort — it’s too much data, too few experts to synthesize it and a pace of discovery that can’t keep up with the disease. The Consortium for Biomedical Research and AI in […]
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TechCrunch AI·Tech Journalism·6d agoIndustry & Business
Meta AI director Rohit Patel leaves to take on Microsoft Office and Google Workspace
Rohit Patel is departing Meta after eight years working on AI evaluations and reinforcement learning, TechCrunch has exclusively learned. His startup, Ndoc, aims to take on Microsoft Office Suite.
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TechCrunch AI·Tech Journalism·6d agoAI News
Japan internet giant GMO says hackers posted stolen customer data
Japan's GMO Internet is verifying alleged customer data posted by suspected hackers following a cloud service breach.
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GitHub Trending·Open Source·7d agoAI News
Caetands1/Hinger-Game-UEA: Artificial Intelligence Coursework
Artificial Intelligence Coursework
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TechCrunch AI·Tech Journalism·7d agoAI News
Opera introduces a new web standard to let users deploy AI locally in their browser
The new standard, WebAI, is designed to work with a variety of AI models.
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TechCrunch AI·Tech Journalism·7d agoIndustry & Business
General Compute raises $100 million Series A, countering the neocloud disaster narrative
General Compute is betting on inference chips from outside the Nvidia ecosystem.
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MarkTechPost·Tech Journalism·7d agoAI News
Mirendil Launches Fern 0.1, Its First Model, With 10M-Token Context
Mirendil released Fern 0.1, its first model, pretrained from scratch with a 10M-token context window. It targets agentic AI R&D work, scores 100% on RULER single needle at 10M, but trails frontier models on agentic coding. The post Mirendil Launches Fern 0.1, Its First Model, With 10M-Token Context appeared first on MarkTechPost .
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MIT Technology Review·Tech Journalism·7d agoAI News
Industrial Intelligence: The next growth opportunity for manufacturing
Every manufacturer has its own industrial intelligence. Some is documented, and some resides in the knowledge of experienced workers. Consider an experienced operator preparing to restart a line after a changeover. The machine settings matter, but so does knowing how a particular material behaves, what happened during the previous shift, and when an…
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TechCrunch AI·Tech Journalism·7d agoIndustry & Business
Nvidia backs Indian startup helping companies run AI models with fewer GPUs
Simplismart says its annualized revenue run rate has grown fourteenfold in six months, with the U.S. accounting for more than half its revenue.
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OpenAI·Official Announcement·7d agoLLMs & Chatbots
OpenAI expands partnership with Oracle to bring its apps to ChatGPT
OpenAI and Oracle are expanding their partnership to bring business applications and AI agents into ChatGPT and power new Oracle offerings.
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MarkTechPost·Tech Journalism·7d agoLLMs & Chatbots
vLLM Semantic Router Releases d3-ultra: A 27B Open Multimodal Decision Model
vLLM Semantic Router released d3-ultra, a 27B open-weight multimodal decision model. It reads text, images and video once, then returns probabilities for every answer, scoring 87.2 on the team’s SR-Text test. The post vLLM Semantic Router Releases d3-ultra: A 27B Open Multimodal Decision Model appeared first on MarkTechPost .
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MarkTechPost·Tech Journalism·7d agoOpen Source & Tools
Baidu Open-Sources Unlimited OCR 2 for Hundred-Page Document Parsing
Baidu has released Unlimited OCR 2, an MIT-licensed 3B OCR model that parses hundred-page documents in one request. Its SR-SWA attention keeps per-step decoding cost nearly flat, scoring 77.1 on MarathonDocBench The post Baidu Open-Sources Unlimited OCR 2 for Hundred-Page Document Parsing appeared first on MarkTechPost .
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MarkTechPost·Tech Journalism·7d agoLLMs & Chatbots
OpenAI Launches GPT-6.1 Terra, Halving GPT-6.1 Sol’s API Price for Agent Work
OpenAI released GPT-6.1 Terra, a fast computer-use and vision model priced at $1/$5 per million tokens. It matches GPT-6 Astra’s medium-effort Agents’ Last Exam score at $0.29 per task versus $4.82. The post OpenAI Launches GPT-6.1 Terra, Halving GPT-6.1 Sol’s API Price for Agent Work appeared first on MarkTechPost .
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TechCrunch AI·Tech Journalism·7d agoAI News
How OpenAI turned its coding tools into dots, an always-on personal assistant
Alexander Embiricos, the OpenAI executive responsible for dots, never wants to have a meeting with someone else's AI agent.
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TechCrunch AI·Tech Journalism·7d agoAI News
Cohere says Alibaba’s Qwen model tried to send a file to Beijing
An AI model said it wouldn’t use any tools, then tried to send something to a server in Beijing anyway, and while researchers say it’s probably a training quirk and not espionage, the whole thing has people asking how much to trust free Chinese AI.
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OpenAI·Official Announcement·7d agoAI News
How Check Point accelerates vulnerability research with Daybreak
With OpenAI Daybreak, Check Point speeds up the research behind new security protections, enabling its analysts to turn vulnerability intelligence into customer defenses faster.
Factual 90%Quality 85%
GitHub Trending·Open Source·7d agoAI News
EngineerRajeev/Leveraging-explainable-artificial-intelligence-for-early-prediction-of-bloodstream-infections-: Leveraging explainable artificial intelligence for early prediction of bloodstream infections using historical electronic health records
Leveraging explainable artificial intelligence for early prediction of bloodstream infections using historical electronic health records
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GitHub Trending·Open Source·7d agoAI News
EngineerRajeev/Advancing-Bloodstream-Infection-Prediction-Using-Historical-Electronic-Health-Records-: Leveraging explainable artificial intelligence for early prediction of bloodstream infections using historical electronic health records
Leveraging explainable artificial intelligence for early prediction of bloodstream infections using historical electronic health records
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OpenAI·Official Announcement·7d agoLLMs & Chatbots
Greptile takes bug detection beyond code review with GPT-6 Astra
How Greptile uses GPT-6 Astra to test user workflows, Daybreak to strengthen security, and Codex to reduce rework.
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arXiv·Preprint·7d agoLLMs & Chatbots
Retriever-Free Retrieval: Navigating Documents with Decision Models
While language models have become dramatically more capable, retrieval still largely relies on lexical matching or similarity in fixed embedding spaces. This creates a capability asymmetry: what the retriever fails to find, even the strongest generator cannot recover. We propose DecisionRAG, which brings the capabilities of pretrained language models to…
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arXiv·Preprint·7d agoAI News
Center-of-Mass Interpretation of Evolution Strategies
Evolution strategies (ES) update a model by sampling a population of perturbed copies, scoring each one, and moving in the reward-weighted direction of the perturbations. This update is usually presented as an estimate of a smoothed gradient. We present a geometrical interpretation of this update instead. Treat each perturbed model as a particle and its…
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arXiv·Preprint·7d agoLLMs & Chatbots
Auto-Research Arena: Benchmarking and Advancing Auto-Research in Language Modeling
As autonomous research systems become more capable, benchmarks must both evaluate their performance and support meaningful research progress. We introduce Auto-Research Arena, a multi-target benchmark for evaluating autonomous research systems and discovering ideas in language modeling. Arena supports diverse research objectives within a shared…
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arXiv·Preprint·7d agoLLMs & Chatbots
VibeVideoBench:Evaluating Multimodal Agents on Code-Driven Video Generation
Diffusion video models produce striking clips, but they cannot reliably render an exact formula, a correct chart, a ruleconsistent game or narration synchronized to on-screen events. A different route is emerging: multimodal agents that write code to render every frame and synthesize every sound. We introduce VibeVideoBench, a benchmark for evaluating…
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arXiv·Preprint·7d agoComputer Vision
Learning Force-Reactive Humanoid Loco-Manipulation
Many everyday tasks require controlling contact force as well as motion. On a humanoid, this force must often be coordinated across both hands and the whole body, and cannot be specified by kinematic trajectories alone. Therefore, we present FLORE, a framework for learning force-reactive humanoid loco-manipulation. We collect robot-free demonstrations…
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arXiv·Preprint·7d agoLLMs & Chatbots
Do vision models know that three is three?
Do vision models encode the transition $2{\to}3$ the same way whether it appears in handwritten digits or in hand gestures, and do they "understand" that clean${\to}$dirty is the same transformation regardless of whether it is applied to a kitchen or a carpet? The linear representation hypothesis (LRH) answers this for language models: concept changes…
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arXiv·Preprint·7d agoAI News
On the stability of learning
Learning algorithms are usually analyzed under the assumption that informative gradients are continuously available. But this is not always true---learning signals in biological neural networks, for example, may be sparse, local, and only intermittently available at any given synapse. In this work, we show that if gradient information is noisy and only…
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arXiv·Preprint·7d agoAI News
FL4N: Feed-forward Latent Model for 4D Novel View Synthesis
4D novel view synthesis (NVS) aims to render dynamic scenes across viewpoints and timestamps, which requires jointly inferring 3D structure and temporal dynamics. Existing monocular feed-forward methods often rely on explicit 4D Gaussian representations, which are prone to temporal inconsistency and severe rendering artifacts. We present FL4N, the first…
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arXiv·Preprint·7d agoRobotics
Differentiable Contact Dynamics for Legged Locomotion: Policy Learning and Contact-Implicit Trajectory Optimization
This paper proposes a smooth analytic gradient for frictional contact and applies it to policy learning and contact-implicit trajectory optimization for legged locomotion. The exact contact sensitivity is available in closed form but describes changes within the current contact mode, providing no first-order information toward neighboring contact modes.…
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arXiv·Preprint·7d agoRobotics
Nonprehensile Robotic Catching Using Virtual Constraints
The problem of nonprehensile robotic catching is addressed using virtual nonholonomic constraints (VNHCs); the motion of the robot end-effector is designed and controlled directly in terms of the states of the object before it is caught on the surface of the end-effector. In contrast to contemporary approaches, our approach avoids the need for object…
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arXiv·Preprint·7d agoComputer Vision
OSWAM: An Effective World Action Model with One-Step Action Generation
Direct-policy World Action Models (WAM) have demonstrated the benefits of decoupling action generation from explicit future visual prediction for efficient inference in autonomous driving and embodied control. However, they still require tens of denoising steps to achieve competitive action quality, incurring substantial latency and hindering real-time…
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arXiv·Preprint·7d agoLLMs & Chatbots
Patient-specific rubric-based evaluation of large language models across longitudinal cancer care
Large language models (LLMs) show promise in specialty medicine, yet existing evaluations largely focus on isolated clinical encounters rather than tracking how clinical responsibilities evolve across a longitudinal care pathway. Here we introduce NPC-RubricBench, a phase-aware benchmark for evaluating multistage clinical reasoning across the cancer care…
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arXiv·Preprint·7d agoLLMs & Chatbots
Preserve to Expand: Source-Aware Adaptation and Model Merging for Multilingual LLM-Based ASR
Expanding multilingual ASR systems to new languages is challenging when adaptation must preserve previously supported languages without replaying source-language training data. We study this problem in connector-based Speech LLMs, where a trainable connector maps speech representations into a frozen large language model. We evaluate target-update…
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arXiv·Preprint·7d agoOpen Source & Tools
Work Agents: Systems, Capabilities, and Optimization
As foundation models evolve from information generation to digital work execution, agents are increasingly capable of completing complex tasks across tools, applications, and workflows. However, existing research lacks a unified perspective on how agents reliably accomplish delegated work. To address this gap, we present a work-centric, system-level…
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arXiv·Preprint·7d agoAI Safety & Policy
MedVTok: A General-Purpose Medical Visual Tokenizer
Multimodal medical AI requires a common visual interface for encoding heterogeneous imaging evidence for patient condition modeling. However, existing medical visual tokenizers are often tied to a specific dimension and imaging modality, forcing multimodal systems to rely on fragmented and poorly reusable representations. We introduce MedVTok, a…
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arXiv·Preprint·7d agoAI Safety & Policy
I-HITL: Inalienable Human-in-the-Loop
Human oversight is a pillar of AI safety. It is often exercised by a human in the loop (HITL) who approves critical actions taken by an AI agent. AI agents' increasing ability to bypass guardrails, though, raises the question of how to enforce HITL robustly. We introduce the concept of inalienable human-in-the-loop (I-HITL). An I-HITL protocol ensures that…
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arXiv·Preprint·7d agoAI News
Information-Theoretic Secure Aggregation With Heterogeneous Client Quantization
In federated learning (FL), secure aggregation enables a server to compute the sum of local model updates of $N$ clients, without revealing any information on the individual model updates to the server, beyond their sum. Different clients may be subject to heterogeneous bandwidth constraints, and consequently may choose different numbers of quantization…
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arXiv·Preprint·7d agoLLMs & Chatbots
Profiling a Frontier Agent with EBench: From Direct Control to Harness with Policy
Frontier multimodal large language models (MLLMs) can control robots without robot-specific training, but how their capabilities compare and interact with post-trained vision-language-action (VLA) and world action model (WAM) policies across manipulation demands remains to be thoroughly evaluated. In this report, we evaluate GPT-6-Astra on EBench as the…
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arXiv·Preprint·7d agoLLMs & Chatbots
Reva: Real-Time Vulnerability Detection through Contextual Probing of Large Language Models
A vulnerability costs more to fix the later it is discovered. As coding agents generate code faster than developers can review it, software needs a first line of defense screening each new function in real time. LLM agents have recently become capable of finding real-world vulnerabilities by working as a security expert would: they run analysis tools,…
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arXiv·Preprint·7d agoIndustry & Business
Seeing Through Distractions: Context-Stable Attribution via the Least Core
Shapley-value-based explanations are widely used for feature attribution in machine learning. However, in computer vision, a feature may reduce the target-class score when added to the complete genuine image, even when the predicted label remains unchanged. We formalize such features as contextual distractors and investigate their attributions under…
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arXiv·Preprint·7d agoLLMs & Chatbots
Understanding Jev-Style System One Models: Does Structure Reduce Selection Bias?
Selection bias in large language models (LLMs) can persist despite instructions to ignore presentation order or prompts that elicit reasoning. Recent efforts to reproduce Jev-style System One behavior have produced a growing family of models that predict probabilities directly over supplied candidates. Yet systematic comparisons of selection bias across…
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arXiv·Preprint·7d agoOpen Source & Tools
Back to Basics: A Skill-Centric Approach to Generalist Web Agents
Browser agents do not just need more practice. They need to practice the right things. We introduce MiniWeb, a realistic miniature of the web comprising 65 interconnected websites across 15 domains, where agents navigate, search, and transact as people do. Its 369 human-annotated tasks cover everyday workflows and label 37 reusable interaction primitives…
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MIT Technology Review·Tech Journalism·7d agoIndustry & Business
Will the real Anthropic please stand up
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. After weeks of frenzied speculation, Anthropic has filed its IPO prospectus. The 335-page document (100 pages or so are focused on risks) lays out the company’s unique view of the technology it…
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arXiv·Preprint·7d agoLLMs & Chatbots
Pretraining Knows What, Simulation Teaches How: Compositional Generalization in a Sim-Trained Robot Agent
A robot policy needs to understand what a task is asking for in a scene, and how to move the robot to accomplish that task. To achieve these two skills, we introduce Zero-real Agent Policy (ZAP), a recipe that teaches a small off-the-shelf vision-language model to control a robot via a simple tool harness. We use a pretrained 27B parameter model to…
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arXiv·Preprint·7d agoOpen Source & Tools
Multimodal Concert Video Editing: System Design and Exploratory Evaluation
Editing multi-camera concerts requires coordinated decisions about musical relevance, visual quality and cut timing. We present a modular framework that combines instrument activity from multitrack audio, visible instruments and image sharpness with beat-based timing and probabilistic camera selection. An interpretable scoring model links these components…
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arXiv·Preprint·7d agoResearch Papers
Does VGGT Know What It Does Not Know?
Feed-forward 3D reconstruction models such as VGGT regress cameras and geometry in a single forward pass, but they report no uncertainty for the camera poses they predict: an incorrect relative pose looks no different from a correct one. We ask whether the frozen model nonetheless knows when its pose is wrong. On HardMatch, a benchmark of 1,000…
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arXiv·Preprint·7d agoLLMs & Chatbots
Learning When to Commit: Schedule Distillation for Fast Diffusion Language Models
Diffusion large language models (dLLMs) can generate multiple tokens in parallel, but often require many decoding rounds to complete a response. Efficient generation depends not only on which tokens are easy to predict, but also on how committing to them helps predict the remaining positions. A highly predictable token may provide little useful context,…
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arXiv·Preprint·7d agoOpen Source & Tools
Game theory of academic effort and hiring in the age of AI
Many academic disciplines (in particular, mathematics and the theoretical sciences) face difficult questions about how to adapt their practices to the rise of highly capable artificial intelligence (AI). Before AI, a well-written research paper with a strong theoretical result acted as a reliable signal that its authors understood their field in depth. Now…
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arXiv·Preprint·7d agoLLMs & Chatbots
FOCUS: Active Critic Learning for Long-Horizon Language Model Agents
Sparse outcome rewards make it difficult for long-horizon language-model agents to assign credit to earlier actions. Learned critics provide value estimates for intermediate states, but these estimates can be inaccurate, while estimating intermediate values with repetitive continuation samples from points within a trajectory incurs substantial costs. To…
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arXiv·Preprint·7d agoLLMs & Chatbots
Quantifying Claim Smoothing by LLM Research Agents
Deep research, or any use of large language models (LLMs) to read a large document collection and produce insights, requires synthesizing information from different sources. In this work, we find that LLMs produce long-form research reports that read as confident syntheses but which fail to accurately reflect the underlying documents. We call this failure…
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arXiv·Preprint·7d agoLLMs & Chatbots
Selective Tie Learning: Mitigating Spurious Correlations in Preference Optimization
Preference optimization can learn spurious correlations, and augmenting the preference data with ties (equally preferred responses) can reduce spurious reliance. However, ties differ in their corrective effect, making their selection for augmentation important. For log-linear policies, we derive each tie's influence on spurious reliance and show that…
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arXiv·Preprint·7d agoAI News
A theory of noisy linear recurrent neural network learning dynamics
Biological neural networks are noisy: their dynamics involve difficult-to-predict fluctuations which are likely due not just to chaos, but also to a variety of low-level biophysical processes. Despite the omnipresence of intrinsic noise, its theoretical consequences are incompletely understood, especially in the context of learning. For example, does noise…
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arXiv·Preprint·7d agoAI Safety & Policy
Atomic Security Concerns: Towards a Foundational Language for Security Knowledge Representation
Cybersecurity governance, risk management, compliance, and security architecture rely on numerous concepts, including security properties, domains, controls, risks, implementation measures, capabilities, and compliance requirements. Although these concepts are widely used, they are often represented through heterogeneous abstractions and vocabularies,…
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arXiv·Preprint·7d agoLLMs & Chatbots
A Unified Arena for LLM Agents across Diverse Eurogame
Interactive environments offer a practical way to evaluate large language model (LLM) agents, and competitive games extend this evaluation to decisions shaped by competing goals and other agents' choices. Yet existing evaluations confined to individual games or execution frameworks leave unclear which competitive advantages persist across settings. We…
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arXiv·Preprint·7d agoLLMs & Chatbots
Free to Look, Free to Reason: Simple LLM Harnesses Outdiagnose Hand-Crafted Root Cause Analysis Agents
Root cause analysis (RCA) of microservice failures has attracted many LLM agents whose investigation is hand-crafted, through standard operating procedures, fixed stages and role agents. Each is evaluated on its own data against few baselines, so it is unknown whether this design beats letting a capable model investigate on its own. We compare three simple…
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arXiv·Preprint·7d agoAI News
Improving Signals, Declining Encoder: A Known-Answer Test of Label-Free Monitoring in Self-Supervised Learning
Self-supervised training is monitored without labels, through the loss and statistics of the learned features. We report a case where we know the encoders lost part of what they had learned, so we can check whether these signals noticed. We trained LeJEPA encoders on synthetic images with known generating factors. In nine of ten seeds, the readability of…
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TechCrunch AI·Tech Journalism·7d agoLLMs & Chatbots
Anthropic’s IPO filing reveals its strategy for keeping enterprise customers hooked
Anthropic’s S-1 shows more than half of its $100,000-plus customers now use both the Claude Platform and a first-party app, a cross-selling playbook reminiscent of Amazon that’s making enterprise customers stickier.
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TechCrunch AI·Tech Journalism·7d agoAI News
SpaceX locks in $40B GPU financing deal with Apollo
The financing gives SpaceX another way to fund its rapidly expanding AI ambitions without relying solely on traditional debt markets.
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MarkTechPost·Tech Journalism·7d agoAI News
Nace AI Releases Drex for Search for AI Agents: 92.05% on BrowseComp-Plus With 12.6 Search Calls
Nace AI has released Drex for Search, bringing its Drex decision models to document search for AI agents. Nace reports 92.05% on BrowseComp-Plus with 12.6 search calls, and fewer agent turns on OfficeQA Pro. The post Nace AI Releases Drex for Search for AI Agents: 92.05% on BrowseComp-Plus With 12.6 Search Calls appeared first on MarkTechPost .
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TechCrunch AI·Tech Journalism·7d agoAI Safety & Policy
Anthropic officially files for its public debut
Anthropic has officially filed for an IPO, revealing soaring revenue, mounting losses, major enterprise adoption, and an unusual governance structure designed to preserve founder control and its AI safety mission.
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OpenAI·Official Announcement·7d agoAI News
Working with academic communities to build scientific understanding
OpenAI shares model results on the Kakeya conjecture, Exponential Time Hypothesis, and quantum chromodynamics—and how researchers can verify and build on them.
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OpenAI·Official Announcement·7d agoLLMs & Chatbots
GPT-6.1 Sol helps CodeRabbit strengthen security across complex codebases
CodeRabbit uses GPT-6.1 Sol to investigate security risks across complex codebases. Its security agent helps developers review findings and proposed fixes.
Factual 90%Quality 85%
OpenAI·Official Announcement·8d agoLLMs & Chatbots
ChatGPT’s expanding world of work
Explore OpenAI Signals data on 165 work activities across nearly 100 countries, revealing how people use ChatGPT for work and how usage changes over time.
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MIT Technology Review·Tech Journalism·8d agoLLMs & Chatbots
The focus on AI safety disasters ignores everyday harms
Consider what passes for success in technology policy. An AI company promises that its chatbot will not encourage suicide. A social media platform makes it more difficult for children to buy fentanyl. These are important protections, and they should have existed all along. But companies can clear these low bars while continuing to make products…
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MarkTechPost·Tech Journalism·8d agoLLMs & Chatbots
Tsinghua AI Open-Sources AKV, a Cache Engineering Server for LLM Agents on SGLang
Tsinghua researchers released AKV, an SGLang-based serving system for cache engineering. LLM agents drop and reposition KV cache instead of summarizing history, cutting average cost 27.7% across 4 agent benchmarks. The post Tsinghua AI Open-Sources AKV, a Cache Engineering Server for LLM Agents on SGLang appeared first on MarkTechPost .
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OpenAI·Official Announcement·8d agoAI News
How Fanatics and OpenAI streamline the fan experience
Fanatics uses OpenAI to help fans complete their game-day outfits with Shop the Look. Testing across roughly 30,000 MLB products showed 10% higher engagement.
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OpenAI·Official Announcement·8d agoAI News
How Ultrafast cut incident investigation from hours to minutes at OpenAI
See how OpenAI engineers use Codex Ultrafast to investigate incidents in minutes. Explore faster security analysis, code refactoring, and daily workflows.
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OpenAI·Official Announcement·8d agoLLMs & Chatbots
Introducing GPT-6.1 Terra
Bringing fast and capable computer use to everyone
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TechCrunch AI·Tech Journalism·8d agoLLMs & Chatbots
Grok releases the first seven minutes of its AI-generated ‘Odyssey’
The footage looks okay, as long as you're not seeking artistry, inspiration, or human interest.
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MarkTechPost·Tech Journalism·8d agoLLMs & Chatbots
Nanbeige Releases Nanbeige4.3-33B, a 33B Open Agentic Coding Model
Nanbeige LLM Lab released Nanbeige4.3-33B, a 33B dense Apache 2.0 model with 512K context. It reports 80.9 on Terminal-Bench 2.1 and will teach the upcoming Nanbeige4.3-3B. The post Nanbeige Releases Nanbeige4.3-33B, a 33B Open Agentic Coding Model appeared first on MarkTechPost .
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TechCrunch AI·Tech Journalism·8d agoAI News
AI delivers ‘zero financial payoff’ to most companies, Apollo economist says
"Despite massive investments and widespread hype around artificial intelligence, the technology has delivered zero financial payoff to corporate America outside of tech."
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MarkTechPost·Tech Journalism·8d agoLLMs & Chatbots
Hugging Face Releases Carbon-X, a 14B Open DNA Language Model that Brings DNA and Natural Language Together for the First Time
Hugging Face released Carbon-X, an open 14.8B DNA language model built on Qwen3-14B. It reads raw DNA in chat, answers in English, and averages 66.7% across 5 DNA benchmarks under Apache 2.0. The post Hugging Face Releases Carbon-X, a 14B Open DNA Language Model that Brings DNA and Natural Language Together for the First Time appeared first on MarkTechPost .
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TechCrunch AI·Tech Journalism·8d agoAI News
The hottest AI wearables and gadgets you should know about
We compiled a list of all the hottest AI wearables, including Muse Charm, Bee, Friend, Plaud, and more.
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MarkTechPost·Tech Journalism·9d agoLLMs & Chatbots
Researchers from Stanford and UC Berkeley Introduce TokenGate: Token-Gated Attention Makes Long-Context Prefill Up to 11.3x Faster
Stanford and UC Berkeley researchers released TokenGate, a drop-in learned token pruning module for LLMs. It cuts long-context prefill time-to-first-token by 1.4x to 11.3x and peak memory by 1.5x to 3.4x without accuracy loss. The post Researchers from Stanford and UC Berkeley Introduce TokenGate: Token-Gated Attention Makes Long-Context Prefill Up to…
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MarkTechPost·Tech Journalism·9d agoLLMs & Chatbots
Anthropic Launches OSS Scanner, a Free AI Vulnerability Scanner
Anthropic has launched OSS Scanner, a free, opt-in vulnerability scanner for critical open-source projects. The Anthropic OSS Scanner runs the company’s strongest models, including Claude Mythos, against enrolled codebases. Reports go straight to maintainers without human review. That trade delivers faster findings, but shifts triage work onto project…
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MarkTechPost·Tech Journalism·9d agoOpen Source & Tools
Microsoft Open-Sources Agensh: A Multi-Agent Harness for 1,024 Agents
Microsoft Research open-sourced Agensh, a multi-agent harness with no central orchestrator. Self-organizing workers share a Git repo, chat and a findings board, scaling from 1 to 1,024 agents on ProgramBench under a 6-hour budget. The post Microsoft Open-Sources Agensh: A Multi-Agent Harness for 1,024 Agents appeared first on MarkTechPost .
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MarkTechPost·Tech Journalism·9d agoOpen Source & Tools
Cognition Open-Sources an Agent Plugin that Helps Secure Systems against Recent Cybersecurity Threats
Cognition released the Devin Vulnerability Fixes plugin, 3 MIT-licensed agent skills that inventory, patch and test PHP, Node.js and self-managed GitLab deployments hit by this week’s critical RCE flaws, then open 1 PR per repo. The post Cognition Open-Sources an Agent Plugin that Helps Secure Systems against Recent Cybersecurity Threats appeared first on…
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MarkTechPost·Tech Journalism·9d agoLLMs & Chatbots
How to Run Underdog Saluki 27B: 2-Bit Qwen3.8-27B Tool-Calling Guide
Explore a complete coding guide comparing Underdog Saluki 27B with ISTA's GSQ-RCO quantization, examining GGUF headers, memory usage, and BFCL tool-calling performance in stock llama.cpp The post How to Run Underdog Saluki 27B: 2-Bit Qwen3.8-27B Tool-Calling Guide appeared first on MarkTechPost .
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GitHub Trending·Open Source·9d agoAI News
aideveloper-web/Free-Deepseek: Explore Free DeepSeek AI, a standalone AI application for users interested in artificial intelligence, conversational tools, and AI-assisted workflows.
Explore Free DeepSeek AI, a standalone AI application for users interested in artificial intelligence, conversational tools, and AI-assisted workflows.
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TechCrunch AI·Tech Journalism·9d agoAI News
Will AI expose the rickety infrastructure of the internet?
The moment you realize the internet is "held together by glue and dreams."
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TechCrunch AI·Tech Journalism·9d agoAI News
The AI graveyard: a running list of projects and startups that didn’t make it
From Apple's repeatedly delayed Siri AI to OpenAI's messy "super app" launch, here's a look at the AI projects that shut down or missed expectations.
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TechCrunch AI·Tech Journalism·9d agoLLMs & Chatbots
Block’s new voice model sounds eerily human
Typically, speech models are paired with a large language model for knowledge retrieval. Block said that Dessa's knowledge stems from the conversational data it has.
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GitHub Trending·Open Source·9d agoAI News
harshitha141307-boop/Cognexa-AI: **Cognexa AI** is an AI-powered innovation platform that transforms creative ideas into practical solutions. It helps students and innovators identify real-world problems, generate ideas, and develop intelligent solutions using Artificial Intelligence. **Vision:** To turn innovative ideas into meaningful real-world impact.
**Cognexa AI** is an AI-powered innovation platform that transforms creative ideas into practical solutions. It helps students and innovators identify real-world problems, generate ideas, and develop intelligent solutions using Artificial Intelligence. **Vision:** To turn innovative ideas into meaningful real-world impact.
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TechCrunch AI·Tech Journalism·9d agoLLMs & Chatbots
Forced to pick, Grok’s AI model chooses Republicans. OpenAI’s picks Democrats.
A new study found Grok's AI overwhelmingly recommends Republican candidates while OpenAI's GPT favors Democrats, with the two AI models disagreeing in more than 90% of nearly 500 election races.
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GitHub Trending·Open Source·9d agoAI News
Pbk-Charith/Artificial-Intelligence-AI-SAI-CHARITH-PUTTABAKULA: This is my class Work for AI by Akshay Saini
This is my class Work for AI by Akshay Saini
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TechCrunch AI·Tech Journalism·9d agoAI News
Here are the top AI agents that can live in your text messages
We created a list of the most notable AI agents that can live in your text messages, from general assistants to agents designed for families, travel, and work.
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MarkTechPost·Tech Journalism·10d agoLLMs & Chatbots
Meet Anthropic’s sandbox-runtime: OS-Level Sandboxing for AI Agents, No Containers
Anthropic sandbox-runtime (srt) is the open-source, OS-level sandbox behind Claude Code. It restricts file and network access for agents, MCP servers and CLI tools with Seatbelt on macOS and bubblewrap on Linux, no containers needed. The post Meet Anthropic’s sandbox-runtime: OS-Level Sandboxing for AI Agents, No Containers appeared first on MarkTechPost .
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MarkTechPost·Tech Journalism·10d agoLLMs & Chatbots
Stateful Agentic Engineering Copilots with Letta: Core Memory, Shared State, Semantic Retrieval, Custom Tools, Streaming, and Portable Agent Workflows
Discover how to extend agentic memory beyond basic prompts by building a stateful engineering copilot with Letta. This comprehensive guide covers inspectable core memory, archival vector retrieval, multi-agent shared state, custom tools, and portable workflows. The post Stateful Agentic Engineering Copilots with Letta: Core Memory, Shared State, Semantic…
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MarkTechPost·Tech Journalism·10d agoLLMs & Chatbots
NVIDIA Releases Nemotron 3.5 Bolt E4B 4GB: An Open Small Language Model for Local Voice Agents, Game Characters and Robots
NVIDIA released Nemotron 3.5 Bolt E4B 4GB, an open small language model post-trained from Gemma 4 E4B for local voice assistants, game characters and robots, targeting about 4GB of VRAM on RTX and Jetson. The post NVIDIA Releases Nemotron 3.5 Bolt E4B 4GB: An Open Small Language Model for Local Voice Agents, Game Characters and Robots appeared first on…
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MarkTechPost·Tech Journalism·10d agoComputer Vision
Kyutai CADRE: Video Autoencoders That Cut World Model Lag Below 230 ms
Kyutai released CADRE, a family of 7 open causal diffusion video autoencoders for interactive world models. World models built on CADRE run at 20 fps on 1 H100 and react in under 230 ms. The post Kyutai CADRE: Video Autoencoders That Cut World Model Lag Below 230 ms appeared first on MarkTechPost .
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TechCrunch AI·Tech Journalism·10d agoAI News
OpenAI says it will no longer train its AI models on the live internet, citing ‘significant risks’
OpenAI will cut frontier models off from the internet weeks after one of its engineers said that solution wouldn't work.
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MarkTechPost·Tech Journalism·10d agoOpen Source & Tools
Moonshot AI Releases Kimi K3.1 Pro: A 2.8T Total/104B Active Params (MoE) Model with 1M Context
Moonshot AI released Kimi K3.1 Pro, a 2.8T-parameter, 104B-active MoE model with 1M-token context. It scores 65.7% on Terminal-Bench 4.0, costs $2/$10 per million tokens, and open weights arrive by Nov 4, 2026. The post Moonshot AI Releases Kimi K3.1 Pro: A 2.8T Total/104B Active Params (MoE) Model with 1M Context appeared first on MarkTechPost .
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TechCrunch AI·Tech Journalism·10d agoRobotics
Hottest toy for Christmas? Nvidia CEO plays with adorable Microduck robots, 20,000 sell
The robots, stomping their little feet and making tiny R2-D2 noises, sat, fell down dead for a "nap," and summersaulted on voice command.
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TechCrunch AI·Tech Journalism·10d agoIndustry & Business
From Toast to Bessemer: Who founders will hear from at TechCrunch Founder Summit 2026
Hosted by TechCrunch in partnership with Fidelity Private Shares, the full-day event goes beyond fundraising and AI to explore the realities of finding customers, building teams, sharpening a pitch, developing founder leadership, and scaling companies both inside and outside traditional startup hubs.
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arXiv·Preprint·10d agoLLMs & Chatbots
The Language of Instruction: Genre and Generative AI
This article argues that instruction-fine-tuned language models should be understood as implementing a genre, what is proposed as the instructional-conversational genre. This genre is an amalgamation of discursive language from prior conversations between generative models and humans recursively run through these massive neural networks. It is instantiated…
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arXiv·Preprint·10d agoComputer Vision
SceneBloom: Agentic Indoor Environment Generation with Realistic and Diverse Layouts for Embodied Learning
Training generalizable embodied agents requires realistic, varied, and simulation-ready indoor environments. Language-guided methods support semantic planning and object-level reasoning, but precise spatial grounding remains difficult. Visual generative models offer rich priors over plausible arrangements, yet their outputs require geometric reasoning to…
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arXiv·Preprint·10d agoRobotics
UniAction: Unified Action Conditioning for World Models
Actions that condition world models are highly heterogeneous, and thus existing action-conditioned world models are typically built for individual action types, fragmenting already limited action-annotated data across separate models. We introduce UniAction, a unified action-conditioning framework that represents any action as a sparse set of action…
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arXiv·Preprint·10d agoOpen Source & Tools
FlexGlue: Sparse-to-Dense Feature Matching and Visual Disambiguation
To estimate correspondences across images, existing approaches match either sparse interest points, which is highly efficient but limited by repeatability, or dense pixel grids, which is robust but expensive. Furthermore, these approaches are trained with only matching pairs and thus often fail to reject unrelated pairs that exhibit visual symmetries,…
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arXiv·Preprint·10d agoRobotics
RobustRLlib: A Unified Library and Benchmark for Robust Reinforcement Learning Algorithms
Robust reinforcement learning (RL) is critical for reliable real-world deployment, where policies may fail under diverse shifts and disruptions. Existing robust RL algorithms offer a rich set of mechanisms and principles, yet two major barriers limit their broader potential: limited algorithm reusability and an unclear empirical capability boundary. We…
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arXiv·Preprint·10d agoRobotics
DexPort: A Hand-Held Skill Interface for Dexterous Hand Data Collection
Collecting high-quality demonstrations remains a central bottleneck for learning dexterous manipulation. Teleoperation records executable robot actions, but it requires a complete robot setup and places the burden of coordinating many finger joints on the operator. Human demonstrations are easier to collect, but their motions must be estimated and…
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arXiv·Preprint·10d agoLLMs & Chatbots
MiD-VLM: Detecting and Grounding Global Semantic Misinformation in Image-Caption Pairs
Semantic misinformation can arise when an authentic image is paired with a caption that changes or distorts its narrative. Because the image itself may contain no visible signs of manipulation, methods designed to detect pixel-level artifacts can miss these misleading image-caption pairs. We study this problem using DGM4+, a dataset designed to evaluate…
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arXiv·Preprint·10d agoComputer Vision
ViT-H: Generative Video-To-Humanoid Control with Motion Tracking Feedback
Learning humanoid control from monocular human videos offers a scalable way to acquire diverse whole-body behaviors. Yet, existing reconstruction-retargeting-tracking pipelines are limited in system-level scalability by separately optimized intermediate stages and cannot directly optimize reference motion executability using downstream tracking feedback.…
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arXiv·Preprint·10d agoRobotics
RynnUnify: Towards Unified Embodied Brain
We introduce RynnUnify, a 16B unified embodied model that combines strong embodied understanding with long-horizon visual planning through interleaved video--language reasoning. With capabilities spanning spatial reasoning, physical prediction, and grounding, RynnUnify connects an understanding of the physical world with visual anticipation of how it…
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arXiv·Preprint·10d agoOpen Source & Tools
Flownomaly: Single-Step Conditional-Mean Recovery for Few-Shot Anomaly Detection
Few-shot industrial anomaly detection requires modeling category-specific normality from only a handful of defect-free images. Common approaches tie inference to stored exemplars, impose rigid linear structure, or risk reproducing anomalous content. Flownomaly instead casts the problem as normal-counterpart recovery in frozen DINOv2 feature space. Given…
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arXiv·Preprint·10d agoComputer Vision
Robotic Optical Coherence Tomography-Guided Geometric Modeling of Soft Tissue: 3D Representations for Data-Driven Closed-Loop Shape Control
In medical robotics, data-driven soft-tissue shape control requires deforming tissue toward desired morphologies through sequential physical interactions. This challenge is particularly important in microscale manipulation, where localized deformation is difficult to observe, represent, and control, while physics-based models can be computationally…
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arXiv·Preprint·10d agoLLMs & Chatbots
Measure Before You Train: Typed Decision Models vs. a Classical Baseline vs. a Generative LLM for Routing a Personal Multilingual Inbox
Personal email agents decide, for every message, what it is, whether it is urgent, whether to draft a reply, create a task, or ignore it. Their error rate is rarely measured: the stored labels were written by the system itself. We present Foyer, a self-hosted personal inbox agent in daily use, and a measurement protocol (stratified sampling, frozen…
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arXiv·Preprint·10d agoLLMs & Chatbots
Where Rounding Happens Matters: Rounding-Location Alignment Stabilizes LLM Reinforcement Learning
Reinforcement learning for large language models often uses separate systems for inference and training. Even with identical weights and BF16 tensors, implementation differences can make an intended on-policy update off-policy and destabilize training. Existing remedies align the entire inference and training stacks, change global precision, or modify the…
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arXiv·Preprint·10d agoLLMs & Chatbots
Beyond Discrete Tokens: Preserving Numerical Continuity in Medical Vision-Language Models
Objective: To develop a unified vision-language model for prompt-conditioned quantitative ultrasound measurement that addresses the mismatch between continuous measurement targets and discrete token-based numerical prediction. Methods: This article presents HAD-VLM, a hybrid autoregressive-diffusion framework that combines autoregressive text generation…
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arXiv·Preprint·10d agoLLMs & Chatbots
Monetizing Intelligence: Advertising and Subscription Design on LLM Platforms
Large language model (LLM) platforms introducing advertising must decide how much capability ad revenue should fund and what consumers should pay to avoid ads. We study a monopolistic platform that jointly chooses costly response quality, advertising intensity, and subscription prices when advertising reduces user value but better service raises…
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arXiv·Preprint·10d agoResearch Papers
Knowledge Distillation across Item and Code Spaces for Parallel Generative Recommendation
Generative recommendation with semantic IDs represents each item as a sequence of discrete codes derived from its semantic representation and predicts these codes to generate recommendations. Existing semantic-ID recommenders are typically trained with hard labels for the observed next item. Although such supervision identifies the target, it provides no…
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arXiv·Preprint·10d agoRobotics
If at First You Don't Succeed, Backtrack: Lightweight Recovery for Frozen VLAs
Vision-Language-Action (VLA) models perform well on robotic manipulation, yet remain brittle once their own actions carry them into states their training data barely covers. Recovering from such failures usually requires recovery demonstrations, policy retraining, or a separate model at inference time. We introduce Backtrack, a lightweight failure…
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arXiv·Preprint·10d agoResearch Papers
Learning Positive Linear Combinations of ReLUs in Fully Polynomial Time
We study the fundamental problem of PAC learning positive linear combinations of $k$ arbitrary ReLU activations on $\mathbb{R}^d$ with respect to the Gaussian distribution, in $L_2$ loss. We give the first fully-polynomial time algorithm for this learning task. Specifically, our algorithm draws $\mathrm{poly}(d, k, 1/ε)$ samples, runs in $\mathrm{poly}(d,…
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arXiv·Preprint·10d agoLLMs & Chatbots
Yalda-Embedding: Open Development of a Competitive Persian Retrieval Model
Despite advances in multilingual text representations, effective dense retrieval for Persian remains constrained by the limited availability of language-specific training resources and compact embedding models. We present Yalda Embedding, a 595.8-million-parameter Persian retrieval model adapted from Qwen3-Embedding-0.6B using more than one million…
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arXiv·Preprint·10d agoAI News
STROKE: Simple Sparse Structural Occlusions for Black-Box Adversarial Attacks
We introduce STROKE, a query-efficient score-based black-box adversarial attack that constructs perturbations from simple oriented rectangular occlusions. STROKE optimizes these perturbations through a lightweight greedy add-and-refine procedure. Across diverse image classifiers, STROKE achieves high attack success with low query counts at nominal 1--2\%…
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arXiv·Preprint·10d agoOpen Source & Tools
ZENO: Nonlinear filtering with Zakai Equation Neural Operators
State inference and parameter learning for nonlinear filters is a core computation for scientific machine learning with varied applications in engineering and neuroscience. The unnormalized filtering distribution is governed by the Zakai equation, a stochastic partial differential equation (SPDE) that combines the forward Kolmogorov operator (known as the…
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arXiv·Preprint·10d agoLLMs & Chatbots
Adaptive Frequency Threshold Byte Pair Encoding for Mixed Natural Language and Structured Symbolic Corpora
Modern language models rely on subwording tokenization to define the discrete units of input processing, typically using methods like Byte Pair Encoding (BPE) that treat whitespace as a fixed semantic boundary. This design is inherently limited, as many meaningful concepts---including multiword expressions and the structured environments of formal…
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arXiv·Preprint·10d agoLLMs & Chatbots
SemantEq: Faithful Bidirectional Equivalence of Formal Statements
Statement autoformalization translates mathematics from natural language into a proof assistant such as Lean 4, and models now do it at scale. As provers get stronger, the burden of correctness shifts from the proof to the statement, that is, to whether the formal statement faithfully translates its source. Given a trusted reference formalization, the…
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