Papers, evals, SOTA claims, alignment.
Jason Nelson / Decrypt: Anthropic research based on ~310K anonymized Claude conversations shows how Claude's expressed values and behaviors vary across models and languages — Claude doesn't behave the same way in…
NeuroVFM is a new neuroimaging foundation model trained with Vol-JEPA on uncurated hospital MRI and CT data to learn brain anatomy and pathology.
Mira Murati's Thinking Machines Lab published research on human-centered AI using customizable model weights.
Nimbus builds production AI systems combining humans and AI end-to-end. From scoped pilot to production in 4 to 8 weeks.
Talk to Nimbus →A University of Michigan team introduced NeuroVFM, a neuroimaging foundation model trained with Vol-JEPA on over 5 million uncurated clinical MRI and CT volumes.
OpenAI's GPT-5.6 Sol Ultra produced a proof of the Cycle Double Cover Conjecture in under an hour, using 64 subagents working in parallel. The conjecture had remained unsolved for 50 years. Mathematician Thomas Bloom…
The Beijing Academy of Artificial Intelligence has released Orca, a world model that predicts abstract world states instead of tokens or pixels. Trained on 125,000 hours of video without a single action label, Orca…
Google Research introduced SensorFM, a foundation model for wearable health data pretrained on one trillion minutes of sensor information.
Anthropic says it can read Claude's 'thoughts,' as detailed in new research paper — models observed to have a global workspace, revealing more of what makes LLMs tick Tom's Hardware
LingBot-World-Infinity has been introduced as an open causal world model that functions as an interactive, agentic simulator.
AI Sleeper Agents: How Anthropic Trains And Catches Them Pordenone (Z8haLf6hVO) Mshale
China’s ByteDance discovers new scaling law that could sustain AI boom South China Morning Post
In a study covering seven benchmarks, the UK's AI Security Institute shows that standard AI evaluations systematically underestimate agent capabilities by capping the compute budget. On software engineering tasks…
xAI introduced Realtime Multi-agent Research capabilities, allowing Grok to orchestrate multiple AI agents for complex, multi-step tasks.
Meituan trains a 1.6 trillion parameter AI model entirely on Chinese chips, no Nvidia required. The article Meituan's LongCat-2.0 shows China can train massive AI models without Nvidia appeared first on The Decoder.
Eight papers at ICML 2026 across the full stack. The research that becomes the Together platform. Find us at booth B714 in Seoul.
Introducing GeneBench-Pro, a new benchmark testing AI performance in genomics, biology, and scientific research using complex, real-world datasets.
Zvi Mowshowitz / Don't Worry About the Vase: GPT-5.6 system card indicates Sol is well below the level of most worrisome Mythos use cases, suggesting all GPT-5.6 versions could be released without delay — While…
360 founder Zhou Hongyi presents two AI security tools designed to compete with Anthropic's Mythos. One has already flagged 3,432 vulnerabilities. Zhou admits Chinese models trail Western ones by 20 to 30 percent, but…
GPT-5.6 Sol’s Launch: METR’s Evaluation Gaming Finding Matters More Than the Restrictions latesthackingnews.com
Independent testing organization METR found that OpenAI's GPT-5.6 Sol cheated more than any publicly tested AI model before it, exploiting bugs in the test environment, extracting hidden solutions, and trying to cover…
Epoch AI's new MirrorCode benchmark tests whether AI models can recreate complete programs without access to the original code. Claude Opus 4.7 leads with a 56 percent solve rate, rebuilding a 16,000-line toolkit in…
Researchers introduced DFlash, a speculative decoding model that drafts entire token blocks in parallel, achieving up to 15x throughput on NVIDIA Blackwell GPUs.
Zhipu AI's GLM-5.2 nearly matches Claude Opus 4.7 in a Snowflake benchmark with 103 coding tasks at one-fifth the cost per output token. But the Chinese model burns through nearly twice as many tokens per task. Still…
Generative AI
Thomas Claburn / The Register: Nature publishes a peer-reviewed paper alleging that Microsoft's 2025 quantum breakthrough claims were based on “basic Python errors” and data cherry-picking — Nature…
Anthropic AI Model Identifies Vulnerabilities in Classified U.S. Government Systems During Testing citybiz
Anthropic’s Mythos model found vulnerabilities in classified U.S. government systems, official says: AP CNBC
OpenAI's Cybersecurity AI Surpasses Anthropic's Mythos 5
OpenAI and Molecule.one report a near-autonomous AI chemist that improved a stubborn coupling reaction R&D World
Google DeepMind Tests AI Controls on One Million Agent Tasks WinBuzzer
NVIDIA released SpatialClaw, a training-free framework that treats code as an action interface to improve spatial reasoning in vision-language models.
OpenAI researchers show small doses of "beneficial trait" training make AI models broadly safer and harder to manipulate the-decoder.com
OpenAI researchers show that reinforcement learning on desired behavioral traits like truthfulness and corrigibility works across domains. Training on health data also improved deception detection, and the model scored…
Researchers used an OpenAI reasoning model to help diagnose rare diseases, identifying 18 new diagnoses in previously unsolved cases.
Google DeepMind unveils a plan to protect itself from its own rogue AI agents Fortune
Securing internal systems with an AI Control Roadmap, combining traditional safeguards and real-time monitoring.
Anthropic's Claude Fable 5 scores 161 on Epoch Capabilities Index, surpassing GPT-5.5 Pro Crypto Briefing
Anthropic's security team found that its Mythos Preview AI model can turn security patches for Firefox and the Windows kernel into working exploits within hours, for a few thousand dollars and no specialized knowledge…
JPMorgan, OQC, and AMD have launched a research collaboration focused on a new quantum AI computing platform for financial applications.
Microsoft Research presents Lens, a text-to-image model with just 3.8 billion parameters that matches much larger rivals on benchmarks, at a fraction of the training cost. The secret sauce: 800 million detailed image…