Banger paper from Harvard. AutoScientists drops the central planner entirely. Agents interpret shared experimental data, self-organize around promising directions, evaluate proposals before resource allocation, and document successes AND failures. Decentralized AI co-scientists
AGI
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Generative Supervision for Embodied Intelligence
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GEM
— AK (@_akhaliq) 28 mai 2026
Generative Supervision Helps Embodied Intelligence pic.twitter.com/IlGPbxkwHSGEM Generative Supervision Helps Embodied Intelligence
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General-Purpose AI Agent Surpasses Karpathy’s Auto-Researcher by Self-Improvement
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A GENERAL-PURPOSE AGENT SURPASSED KARPATHY'S AUTORESEARCHER It wasn't designed for research. It simply improved itself until it achieved it The framework behind it is called SIA by Hexo Labs and it's open source → The agent updates its own logic
→ Modifies its own weights -
Agent Explorative Policy Optimization for Multimodal Agentic Reasoning
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Agent Explorative Policy Optimization for Multimodal Agentic Reasoning
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AI Research Automation and Scientific Integrity
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AI research automation is crossing a threshold. But the real question is not: Can AI produce papers? It can. The harder question is: Can it preserve the substance of science? A new paper from the Awesome AI Auto-Research Team offers one of the most useful maps I’ve seen of
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Huawei Tau Scaling Law Reframes AI Inference Performance
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Most AI teams are optimizing the model.
— Ronald van Loon (@Ronald_vanLoon) 28 mai 2026
But the real bottleneck in inference is underneath it.
Huawei's Tau Scaling Law (Her's Law) was just introduced at IEEE ISCAS in Shanghai.
It reframes how we think about AI performance entirely.
Here's the breakdown…#HuaweiPartner… pic.twitter.com/jFmtalWL4NMost AI teams are optimizing the model. But the real bottleneck in inference is underneath it. Huawei's Tau Scaling Law (Her's Law) was just introduced at IEEE ISCAS in Shanghai. It reframes how we think about AI performance entirely. Here's the breakdown… #HuaweiPartner
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2026 Hype Cycle for Agentic AI: Leaders Guide
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The 2026 Hype Cycle for Agentic AI: What Leaders Need to Know
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Top AI News: Protein Biology Models, OpenAI Funding, AI Agents, and Learning Tools
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Top stories in AI today: – Biohub’s new ‘world model of protein biology’
– OpenAI Foundation puts $250M behind AI disruption
– Teach your AI agent to edit like you
– An AI that keeps learning on the job
– 4 new AI tools, community workflows, and more -
Lem and Adams’ Fictional AIs Predicted Modern AI Themes
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Lem & Douglas Adams got AI right Presciently Golem XIV (from 1981) has an illustration of the jagged frontier as explained by an AI, Golem (GENERAL OPERATOR, LONG-RANGE, ETHICALLY STABILIZED, MULTIMODELING), discussing itself and a smarter AI (Honest Annie) compared to people
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Gamma-World: Generative Multi-Agent World Modeling
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Gamma-World
— AK (@_akhaliq) 28 mai 2026
Generative Multi-Agent World Modeling Beyond Two Players pic.twitter.com/YxHI13Qsl9Gamma-World Generative Multi-Agent World Modeling Beyond Two Players