From ocean dynamics to food security, this AI+Science panel examines how AI is being used to address the biggest challenges in earth, climate, and systems sciences. Join the conversation with @DavidBLobell
, @JeanKossaifi
, and other leading scientists: https://
hai.stanford.edu/events/ai-scie
nce-accelerating-discovery
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RESEARCH
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Stanford AI+Science Panel Examines AI for Earth and Climate Challenges
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Anthropic Internally Uses Claude Mythos Opus 4.7, Toned-Down Release Planned
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Anthropic’s Boris Cherny:
— Chubby♨️ (@kimmonismus) 5 mai 2026
– Internally, they use the same models as everyone else + a bit Claude Mythos, mainly Opus 4.7
– A toned-down version of Claude Mythos will be released in the foreseeable future (but that was to be expected). pic.twitter.com/E9K2DLGEr7Anthropic’s Boris Cherny: – Internally, they use the same models as everyone else + a bit Claude Mythos, mainly Opus 4.7 – A toned-down version of Claude Mythos will be released in the foreseeable future (but that was to be expected).
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Generative AI Progress Exceeds Expectations and Schedule
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Recovery is low if you lift heavy the day before
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SkillSynth Builds Skill Graphs for Terminal Agent Training
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"Toward Scalable Terminal Task Synthesis via Skill Graphs" Terminal-agent training needs more diverse workflows. This Tencent Hunyuan paper, SkillSynth, builds a graph of terminal scenarios and skills, samples paths through it, then turns those paths into executable tasks. It
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Meituan Longcat Introduces Asynchronous RL for LLM Training
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Asynchronous RL for LLM training. Meituan Longcat fixes the rollout bottleneck from long reasoning traces by keeping multiple policy versions alive at once. Long trajectories can now stay on their original policy, so training can keep moving without dropping samples or breaking
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Anthropic Research: AI Models Can Hide Capabilities From Weaker Supervisors
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As AI takes on work humans can't fully check, a capable model could deliberately hold back—and we'd never know. New Anthropic Fellows research finds that such a model can be trained to near-full capability using a weaker model as supervisor. Read more:
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Perplexity and Claude Enable Deep Research on Medical Journals
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Perplexity and Computer now allow you to run Deep and Wide Research on sources trusted by doctors and medical professionals like the New England Journal of Medicine, the British Medical Journal, the American Diabetes Association, and so on.
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Persistent Visual Memory for Deep Generation in LVLMs
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Persistent Visual Memory Sustaining Perception for Deep Generation in LVLMs paper: https://
huggingface.co/papers/2605.00
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Can Language Models Learn Skills from Context?
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From Context to Skills Can Language Models Learn from Context Skillfully? paper: https://
huggingface.co/papers/2604.27
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