What if robots could predict and prevent failures before they happen—instead of just reacting to them? Researchers from CUHK Shenzhen, DexForce, and Shenzhen Loop Area Institute introduce AgentChord: a system that builds a task graph ahead of time, pre-wired with recovery
RESEARCH
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Scaling Past Informal AI: Math, Lean, and formal proofs for AGI
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Scaling Past Informal AI https://
latent.space/p/axiom @axiommathai founder & CEO @CarinaLHong explains why math may be the missing path from code agents to AGI, why verified AI is about scaling brilliance not just fixing hallucinations, how Lean and formal proofs turn reasoning -
Major GPT-Rosalind Upgrade for Enhanced Drug Discovery and Design
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Major upgrade to GPT-Rosalind, with much better intelligence for drug discovery, analysis, design, and experimental workflows:
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AI will enable communication with animals via electromagnetic interfaces
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I have no doubt that AI will allow us to communicate with animals; the very complex animal logics for humans will be deciphered and emulated. Nevertheless, I believe that electromagnetic equipment serving as interfaces will be needed to receive
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Harvey Legal Benchmark: 1250 tasks across 24 practice areas
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We’ll see it more and more Btw Harvey Legal Benchmark is very broad more than « super focused ». 1,250 legal tasks, 24 legal practice areas, it was made to be one of the first large-scale realistic legal benchmark
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OpenAI adds new capabilities to GPT-Rosalind for drug discovery
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We’re bringing new capabilities to GPT-Rosalind, a model series purpose-built for life sciences research at enterprise scale. It brings GPT-5.5’s agentic coding and tool use together with stronger intelligence for drug discovery, analysis, design, and experimental workflows.
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LFM2/2.5 architecture: convolution is almost all you need
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Oh fun! The LFM2/2.5 architecture is a joy to play with. Convolution is (almost) all you need.
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Databricks Grounded Reasoning Cup sponsors: Anthropic, OpenAI, Google DeepMind
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Introducing the lab sponsors for the Databricks Grounded Reasoning Cup at #DataAISummit 2026: @AnthropicAI
, @OpenAI
, and @GoogleDeepMind
. Each lab is partnering with leading academic teams to build agents that tackle grounded reasoning over complex government data using the -
Scaling PEFT: Towards Million Personal Models of Trillion Parameters
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"On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters" Right now LLM personalization mostly means prompts, memory, or retrieval on top of one shared assistant. This paper instead keeps one trillion-parameter base model shared, and give each user a tiny