AI Models

Anthropic says AI is eroding Nvidia's CUDA lead, cutting an AMD chip switch from months to three days

Anthropic claims it used AI itself to breach Nvidia's CUDA moat. The company's in-house model Mythos reportedly ported Claude to AMD GPUs in just three days, with almost no human intervention. Anthropic…

BotPsy: On-Device Personal Assistant with a Sub-Billion-Parameter Agentic Language Model

AI Isn't Getting Dumber, We're Getting Pickier: Rising Standards in Human Evaluation of Large Language Models

arXiv:2611.14333v1 Announce Type: cross Abstract: Users often complain that AI assistants such as ChatGPT are getting worse. Some versions do change, but human evaluation leaves a second possibility untested: the people judging…

DisasterAgent: An Evidence-Driven Agent for Verifiable Disaster Report Generation From Remote Sensing Imagery

arXiv:2611.13776v1 Announce Type: cross Abstract: Remote sensing disaster assessment is moving from simple damage classification toward comprehensive report-level analysis. In this setting, responders need not only damage descriptions but also verifiable evidence…

Graph Visualizations in Prompts for Knowledge Graph Question Answering

arXiv:2611.12938v1 Announce Type: new Abstract: We study when and how multimodal input improves knowledge graph question answering (KGQA) in large vision--language models. Using a controlled evaluation over 1,500 WebQSP and CWQ questions…

Tracing Psychometric Inference in Large Language Models

arXiv:2611.12937v1 Announce Type: new Abstract: Do large language models represent psychological constructs internally, or do they only generate outputs that resemble psychometric structure? We address this question using a cross-persona paradigm across…

LandslideFM: A Foundation Model Towards Unified Landslide Perception and Understanding

arXiv:2611.12936v1 Announce Type: new Abstract: Intelligent landslide detection is essential for disaster prevention. However, existing models primarily focus on isolated visual tasks, require extensive labeled data, and lack deep analytical and scene-understanding…

TACT: Mitigating Overthinking and Overacting in Coding Agents via Activation Steering

arXiv:2605.05980v3 Announce Type: replace Abstract: When language model agents tackle complex software engineering tasks, they often degrade over long trajectories, which we define as *agent drift*. We focus on two recurring failure…

SetPrint: Black-Box LLM Fingerprinting via Setwise Correspondence of Response Changes

arXiv:2611.12950v1 Announce Type: new Abstract: Black-box LLM fingerprinting aims to determine whether a target model was derived from a source model when only the output responses to input queries are observable. One…

Anthropic turns Claude into a full workspace with Plugins, spreadsheets, whiteboards, and soon Meeting notes

Anthropic is expanding Claude with Sheets, Whiteboards, and Interactive Connectors, letting partners like Adobe and Atlassian embed their apps directly inside Claude. Anthropic says Claude Meetings, which can join calls and take…

Gemini Intelligence: New features, on more devices

Gemini Intelligence is rolling out to more devices. See how expanded capabilities across these devices help you do more.

Gemini 4 Carbon arrives just in time to feel like yesterday's news in the fastest model cycle yet

Google is making Gemini 4 Carbon generally available after a two-week testing phase. The model ranks first in several benchmarks, in some cases ahead of Anthropic's new Fable 5.2, at less than…

Anthropic has its own AI-powered office suite now

For years, Anthropic has been known for its focus on enterprise and coding tools that attract high-flying corporate clients, inspiring competing frontier labs - like OpenAI, SpaceXSI, and Meta - to copy…

Anthropic launches Claude Meetings to turn workplace discussions into plans and tasks

As participants talk, Claude can draft the plan being discussed, map out a timeline on a whiteboard, answer questions in the meeting chat, and access connected work apps to retrieve information, such…

Google DeepMind's Gemini Robotics 2.5 scores 96 percent sorting metal parts in a Mercedes-Benz assembly pilot

Google Deepmind introduced Gemini Robotics 2.5, a new control model for robots, and tested it with Apptronik on active Mercedes-Benz production lines in Hungary and Germany. The humanoid robot Apollo 2 sorted…

Gemini 4 Carbon is now available

Google releases Gemini 4 Carbon with agent ‘swarm’ feature

Google is rolling out its latest AI model, Gemini 4 Carbon, to the general public after releasing it to a select group of "cybersecurity defenders" two weeks ago. Google claims Carbon is…

Anthropic's Fable 5.2 completes 41 percent of real freelance jobs, up from 2.5 percent a year ago

Anthropic's Fable 5.2 completes 41.3 percent of real freelance jobs at professional quality on the Remote Labor Index, more than double the next-best systems Opus 5.5 and GPT 6 Astra. A year…

Eight countries and top AI labs agree to shutdown mechanisms in new Paris declaration

Eight countries along with representatives from OpenAI, Anthropic, Microsoft, and Mistral AI have signed the "Paris Call for AI Safety and Security" at Emmanuel Macron's initiative. The companies commit to shutdown mechanisms,…

Google Cloud launches Gemini for healthcare.

Google Cloud launches Gemini for healthcare to unify clinical data and automate workflows. Reduce administrative burnout. See how it works.

Say Shibboleth: Fingerprinting the LLMs and Harnesses Behind Agentic Attacks

arXiv:2611.12386v1 Announce Type: cross Abstract: We study the fingerprinting of agentic cyberattacks. Our objective is to reliably infer information about the attacker's configuration, such as LLM version and harness, from telemetry. To…

HiVe-Mem: Interleaving Horizontal Memory Expansion and Vertical Evidence Composition for Multimodal Agents

arXiv:2611.12872v1 Announce Type: cross Abstract: As multimodal agents accumulate increasingly long interaction histories, effectively retrieving and utilizing past information becomes critical for long-term interaction. Existing memory systems typically rely on semantic retrieval…

AdaPath: Query-Adaptive Path-Finding via Path-Bank for Multi-Hop Implicit Biomedical KGQA

arXiv:2608.30556v2 Announce Type: replace Abstract: Path-finding over knowledge graphs has become an effective way to ground LLM reasoning on multi-hop questions. However, biomedical QA introduces two distinct challenges that general-domain methods are…

The Infrastructure Divide: Analyzing Community Stance on Data Center Development via Reddit

arXiv:2611.10109v1 Announce Type: new Abstract: The rapid expansion of AI-driven data center construction has outpaced public engagement: an estimated $64 billion in U.S. data center projects were blocked or delayed by local…

META-IR: Meta-Introspective Reasoning for Adaptive Safety Alignment in LLM

arXiv:2611.10089v1 Announce Type: new Abstract: Large Language Models (LLMs) remain vulnerable to jailbreak attacks and harmful-content prompts, particularly under adversarial distribution shifts where static alignment pipelines fail to generalize. Although introspective methods…

Subliminal Learning Is Steering Vector Distillation

arXiv:2606.00995v4 Announce Type: replace Abstract: Subliminal learning refers to a student language model acquiring a teacher's traits (e.g. a system-prompted preference for owls) when fine-tuned on the teacher's outputs, despite the outputs…

OMG-Agent: Toward Robust Missing Modality Generation with Decoupled Coarse-to-Fine Agentic Workflows

arXiv:2602.04144v2 Announce Type: replace Abstract: Data incompleteness severely impedes the reliability of multimodal systems. Existing reconstruction methods face distinct bottlenecks: conventional parametric/generative models are prone to hallucinations due to over-reliance on internal…

LLMs as Judges and Examinees for Medical Item Difficulty Prediction

arXiv:2610.38402v2 Announce Type: replace-cross Abstract: Predicting medical item difficulty from item text alone remains challenging. Prior work has largely relied on linguistic features or text representations derived from general-purpose and domain-specific language…

NoContactNoWorries: Estimating Contact through Vision and Proprioception for In-Hand Dexterous Manipulation

arXiv:2606.24450v2 Announce Type: replace-cross Abstract: Perceiving physical contact is fundamental to dexterous manipulation. While robots often rely on dedicated hardware tactile sensors, humans exhibit a remarkable ability to infer contact by integrating…

ChainFlow: Few-Step Latent Flow Matching for Speculative Decoding

arXiv:2611.08669v1 Announce Type: new Abstract: Speculative decoding has become a standard way to accelerate LLM inference: a lightweight drafter proposes tokens that the target verifies in one parallel pass. Existing drafters face…

Decision Context: Persistent Behavioral Learning for AI Agents

arXiv:2611.08644v1 Announce Type: new Abstract: LLM agents do not learn from corrections across sessions. A user fixes the same mistake at the start of every conversation. Existing agent memory systems primarily handle…

Aspect-wise Pairwise Tournaments for Test-Time Selection

arXiv:2611.08640v1 Announce Type: new Abstract: Scaling test-time compute has proven highly effective at improving LLM reasoning. A popular method is best-of-n sampling, where a model generates many candidate solutions and one is…

Cancellation Is Not Enough: What Retries Leave Behind in an Overloaded LLM Engine

arXiv:2611.08684v1 Announce Type: new Abstract: Clients and proxies in front of an LLM engine retry calls that time out. After a transient overload, these retries can keep the engine from recovering even…

Claude Fable 5.2 and Mythos 5.2 cement Anthropic's AI lead just before its IPO

Anthropic is releasing Claude Fable 5.2 and Mythos 5.2, its most powerful models to date, in two versions: one freely available and one reserved for verified organizations. The models solve open physics…

Gemini Robotics 2.5 accelerates real-world general dexterity

Our most capable vision-language-action model enhances robot dexterity, reliability, and safety

Meta launches Muse Ember, a small AI model built for the repetitive work agents actually do

Meta is introducing Muse Ember, its smallest and most efficient AI model, optimized for repetitive agent tasks such as tool calls, routing, and data extraction. According to Meta, it delivers more intelligence…

Anthropic launches new Claude Fable and Mythos 5.2 models

Anthropic is announcing two new models today: Claude Fable 5.2 and Claude Mythos 5.2, which it says are designed to take on "daunting" technical challenges. The company claims the new models show…

Tencent's AI chief says AI bioweapons are coming, but closing off models isn't the answer

Tencent chief AI scientist Vinces Yao Shunyu warns that AI will soon be able to develop bioweapons and argues for a middle ground between open and closed models. While safety filters on…

Andrej Karpathy built a curated video platform in a weekend using Claude and 20 years of Hacker News

OpenAI co-founder Andrej Karpathy used Claude's Opus 5.5 to filter 43 million Hacker News comments into 6,454 curated videos. The result beats YouTube's own recommendations, he says. The article Andrej Karpathy built…

The inventor of the bitter lesson has a bitter lesson for LLM scaling enthusiasts

Turing Award winner Richard Sutton reaffirms that raw compute alone isn't enough for intelligence and that fundamentally new learning methods are needed. Ex-OpenAI researcher Tworek agrees, saying blind transformer scaling "has reward…

Anthropic pushes ahead with pre-Thanksgiving IPO despite tech selloff, accepts lower valuation

Despite the tech selloff, Anthropic is pressing ahead with its IPO at a valuation of $1.25 to $1.75 trillion, well below the hoped-for $2 trillion. The Claude developer aims to raise $80…

The gap between open and closed AI models in cyber capabilities keeps shrinking

In the Vals AI benchmark, OpenAI's GPT-6 Sol Daybreak hits 80.8 percent of attack objectives in simulated corporate networks. Worse, the open-weight model DeepSeek V4.1 Flash reaches 72.8 percent at a tenth…

Ripple-65B Preview delivers strong agentic coding results as a fully Apache 2.0 open US model

Ricursive Intelligence is releasing Ripple-65B Preview, a 65-billion-parameter open-weight language model that the company says achieves the top score among open-source U.S. models on the TerminalBench 2.1 coding benchmark at a total…