Easily our favorite Met Gala outfit
RESEARCH
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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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MolmoAct2: Action Reasoning Models for Real-World Deployment
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MolmoAct2
— AK (@_akhaliq) 5 mai 2026
Action Reasoning Models for Real-world Deployment
paper: https://t.co/aKO4mzBqBz pic.twitter.com/6IYcKJtzFKMolmoAct2 Action Reasoning Models for Real-world Deployment paper: https://
huggingface.co/papers/2605.02
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