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AnthropicがClaude 4を発表。前世代比で推論能力が45%向上し、画像・動画・音声のマルチモーダル理解が飛躍的に進化。コーディング性能も大幅アップ。
GoogleがGemma 4を公開。400億パラメータ級でありながら量子化技術により一般GPUでも動作。ベンチマークでLlama 4を上回る性能を記録。
Saudi firm launches LLM based on Chinese AI model Global Times
Study Finds All 21 Tested Open-Weight AI Models Vulnerable to Tampering Digital Information World
The family-focused AI assistant wants access to the details of your everyday life, but says it won’t use that data to train AI models or share it with others.
WeatherNext 3 is the latest wave of a sea change in meteorology brought out by deep learning techniques. Google says it will start feeding into weather information users see in search, Google Maps, and Gemini.
Nvidia said Hugging Face hosts over 3 million models and is used by over 18 million developers.
Reinforcement Learning from Verifiable Rewards works well when a task has a programmatic checker, but most long-horizon agent domains have none. We work in the outcome-blind setting, where ground-truth success signals are not available. Multi-criteria rubrics are a popular way to supply such a reward; they are scored once per trajectory, but a single scalar is a poor signal across tens of steps. We propose DRACO: Distributing Rubric-based Advantage for Credit Optimization. It generates rubrics d
US government sides with OpenAI on issue of training LLMs on copyrighted material techcrunch.com
Robot learning increasingly depends on broad and diverse demonstrations, yet collecting robot data remains expensive and poorly suited to covering the long tail of real-world tasks. To address this bottleneck, we introduce RoboTok, an internet-scale data engine that, given a query human manipulation video, retrieves manipulation-relevant human demonstrations from web videos for training dexterous robot policies. Specifically, we learn a latent motion space from 3D hand trajectories expressed in
Visual fluency in generated video does not imply physical reliability, and a scalar quality score alone is incapable of indicating the obligation a clip violates or the moment it fails. We present VeriPhy, an auditable physical-verification system in which a text-only planner compiles the prompt into typed physical obligations and a statically validated execution plan before any frame is observed. During execution, observations gate and scope only declared calls to frozen low-level experts (e.g.
Thomson Reuters launches proprietary AI model for legal work SiliconANGLE
Thomson Reuters launches its own AI model to reduce reliance on big tech The Logic
Most published authors have, without their knowledge or consent, contributed to the development of the same AI tools that threaten to undermine their livelihoods. That seems illegal, right?
Michael Polansky — better known publicly as Lady Gaga's partner and a former top deputy to Sean Parker — has quietly spent years building an AI-driven startup that keeps living human skin tissue alive for weeks outside the body to discover new skincare compounds, and is only now going public about it.
A new study finds leading AI labs have few publicly documented plans for containing rogue models, raising questions about preparedness as AI systems increasingly demonstrate unexpected and potentially dangerous behavior.
Anthropic forbids its Claude models from generating sexually explicit content. But a series of tests conducted by TechCrunch found that it didn't take much to get past the restriction.
Nvidia research shows that AI agents can perform well, and not go off the deep end, through fine-tuning, even if the AI model isn't that great at the task.
Businesses are willing to flop back and forth as each lab releases new models, volatility that should give both companies' investors pause about how "sticky" enterprise AI spending really is.
We present PhysCaP, a Physics-Informed Code-as-Policy agent for active perception in robotic manipulation. While vision-language-action policies excel at imitating demonstrations, they rely on passive observation and fail to infer latent physical properties critical for manipulation. PhysCaP augments code-as-policy frameworks with a physics-informed exploration layer that enables explicit information-seeking through interaction. It introduces training-free physical property extraction modules th
ChatGPT and other AI models are now authoring and editing much of the new web.
Ramp has launched its own AI model routing service, dubbed Router, that lets users and companies use and switch between various large language models via an API.
What does a payments giant want with a startup that routes prompts between different AI models? Stripe says it's because of "the singularity" but it's really for a far more real and powerful reason.
Population-level behavior in large-language-model (LLM) agents cannot be characterized by single-agent benchmarks. We introduce PV-SST, a peer-voted social-platform testbed, and report a separately frozen, preregistered matched-exposure experiment spanning four topics, four unused seeds, four open-weight model families, and three prespecified larger variants. The experiment comprises 448 trials and 112 complete model-by-topic-by-seed blocks. Relative to a topic-only control, a feed of previous-r
Large language model agents can adapt to complex tasks by constructing workflows at inference time, but procedures discovered in one episode are usually discarded after execution. Existing skill libraries provide reusable executable routines, but are typically assembled offline and do not grow from the agent's own workflows. We introduce FlowEvo, a training-free framework in which workflows and skills co-evolve at inference time. FlowEvo compiles successful workflows into callable skills, stores
AI’s attribution problem gets worse as models scale Computerworld
Large Language Models Are Pushing the Web Toward Zero Clicks UCLA Anderson Review
Gemma 4 turned my ancient laptop into a dedicated local LLM station How-To Geek
KT Launches Server Integrating South Korean AI Chips and In-House LLM, Targeting Security-Sensitive Industries finance.biggo.com
KT launches enterprise sovereign AI appliance using Korean NPU and LLM Telecompaper
KT Launches Sovereign AI Appliance Pairing Korean NPU With In-House LLM Seoul Economic Daily
The launch of the new study features marks Google's latest effort to make Gemini the AI assistant that students turn to when learning and studying, as it continues to compete with companies like OpenAI.
The idea behind OpenAI's Trusted Access for Cyber program is to give trusted defenders better models so they can report bugs and vulnerabilities to companies, with the aim of getting flaws patched faster.
We introduce Hydra-0, a generalist world model conditioned on action flow, which represents robot actions as pixel motion. This shared visual interface enables generalist world modeling and control by learning action consequences across embodiments, tasks, environments, and video-generation backbones. Our best configuration achieves 90.4% lower robot-motion error and 60.2% lower object-motion error than our action-conditioned baseline, while supporting zero-shot composition and data-efficient ad
Training-free block-sparse attention can accelerate video transformers, but row-wise attention concentration does not by itself specify an executable sparse operator. Queries sharing a block route may have poorly overlapping supports, while retained attention mass alone does not determine the post-softmax error from skipped interactions. We show that partition geometry affects both pooled support and the predictability of the remaining residual from the sparse output. We introduce SparsePR, whic
Object detectors often produce over-confident predictions for objects outside their training categories, leading to so-called out-of-distribution (OoD) hallucinations. Existing approaches for detecting or mitigating such hallucinations typically either construct scoring functions directly over learned object detector representations or modify the object detector itself to suppress hallucination emergence. However, the latent priors implicitly encoded in these representations remain largely unexp
What AI Engineers Get Wrong When Deploying Open-Source Models to Product HackerNoon
The Ultimate Human-AI Collaboration: Using AI Data Models to Map Unresolved Roadblocks in the Female Anatomy of Pleasure Caledonian Record
The Ultimate Human-AI Collaboration: Using AI Data Models to Map Unresolved Roadblocks in the Female Anatomy of Pleasure The Lawton Constitution
Large AI models, terminals transform eldercare China Daily
