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RESEARCH
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Anthropic conference: agents orchestrating other agents
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Hier 19 Mai, Anthropic a tenu une grosse conférence à Londres.
— Jouhatsu | AI Influence Operator (@Jouhatsu_ai) 20 mai 2026
6 ingénieurs qui ont créé Claude ont partagé ce qui va changer ta façon de builder pour toujours.
Gardez-la précieusement en signet 🔖
Et personne n'en parle encore:
→ Des agents qui se pilotent entre eux… pic.twitter.com/Qae7TYuopMHier 19 Mai, Anthropic a tenu une grosse conférence à Londres. 6 ingénieurs qui ont créé Claude ont partagé ce qui va changer ta façon de builder pour toujours. Gardez-la précieusement en signet Et personne n'en parle encore: → Des agents qui se pilotent entre eux
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Query-Aware Context Compression in RAG Systems
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Context compression isn't new in RAG. Our contribution is making it query-aware, citation-preserving, and fast enough for orchestration. Read the full research blog:
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AI agents and recursive performance optimization in code training
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This is the part of AI progress that will sneak up on people. Agents grinding away at training code, kernels, architecture tweaks, and benchmarks until they start finding real performance gains. Coding agents are struggling at this, but this breakthrough looks promising.
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ESI-Bench: Towards Embodied Spatial Intelligence and Perception-Action Loops
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ESI-Bench Towards Embodied Spatial Intelligence that Closes the Perception-Action Loop
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Nature Editorial on the Role and Impact of AI Scientists
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Important editorial @Nature on the new "AI-scientist" papers
"AI scientists can and should empower human
researchers. They cannot and should not replace them." https://
nature.com/articles/d4158
6-026-01551-3
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Anti-Self-Distillation Technique for Reasoning Reinforcement Learning
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Anti-Self-Distillation for Reasoning RL via Pointwise Mutual Information
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Stable Audio 3.0 Released with Novel Semantic-Acoustic Autoencoder Architecture
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Stable Audio 3.0 is our next-gen architecture, built with a novel semantic-acoustic autoencoder that enables longer, more flexible audio generation. You can read the full research paper here
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New Research Enables LLMs to Automate Their Own Reasoning Strategies
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LLMs just learned to design their own reasoning strategies for $40. Test-time scaling lets models think harder during inference. The catch: humans hand-craft every branching, pruning, and stopping rule. A new paper flips this. AutoTTS turns strategy design into automated
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AI MouseMapper: Whole-body 3D model assesses cell-level perturbations across systems
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An AI foundation whole-body 3D model that assesses perturbations (such as obesity) across multiple systems (such as immune, neural) at the cell level. This is MouseMapper. Imagine HumanMapper someday @Nature @erturklab https://t.co/jsg3VMzOqg pic.twitter.com/tktuINis2W
— Eric Topol (@EricTopol) 20 mai 2026An AI foundation whole-body 3D model that assesses perturbations (such as obesity) across multiple systems (such as immune, neural) at the cell level. This is MouseMapper. Imagine HumanMapper someday @Nature @erturklab https://
nature.com/articles/s4158
6-026-10535-2
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