With GPT 5.5, /goal, autoreview and crabbox my prompts moved from ~30-60min to often 4-10h tasks and my confidence that it’s ready is much much higher. Yielding agents is a skill.
AGENTS
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Agents assume wrong invariants; fix via .md constraints explanation
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Most of the time. Sometimes the agent assume the wrong invariants, and the real fix is text in agents .md to explain system constraints.
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GPT-5.6 improvement and token efficiency in agentic workflows
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It’s reasonable to expect that the next iteration will be better. It would be surprising if GPT-5.6 wasnt an improvement over GPT-5.5. But the more interesting part is token efficiency. As models move into more complex, longer-running, agentic workflows, every wasted token
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LeCun: Intelligence equals trained world model plus optimal control
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Essentially. Or rather: Trained world model + optimal control = intelligence
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HiF-VLA: Robots remembering past and anticipating future via motion
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What if your robot could remember the past and anticipate the future to master long tasks? Researchers from Westlake University and Zhejiang University introduce HiF-VLA. It uses motion as a compact representation to give robots hindsight, insight, and foresight—learning from
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Could AgenticAI topple grant-funding systems? Nature article
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Could #AgenticAI topple grant-funding systems?
by Geraint Rees James Wilsdon @Nature Learn more: https://
bit.ly/4eexZBK #AI #GenerativeAI #ArtificialIntelligence #MachineLearning #MI -
Microsoft developing super app and always-on agent Scout
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COPILOT : Microsoft is working on its own super app along with a new always-on agent called Scout according to Sources. This UI looks familiar
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EverOS: redesigned interface with long memory for AI agents
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我们新设计了 EverOS 的界面， 现在主要想突出两个点。
— 艾略特 (@elliotchen100) 30 mai 2026
第一，它是面向 AI Agent 的“长程记忆操作系统”。
传统 LLM 应用更多依赖短期上下文，而 EverOS 试图把 agent… pic.twitter.com/mwLmJLrFXjWe have redesigned the EverOS interface, and we now wish to highlight two main points. First, it is a "long memory operating system" designed for AI agents. Traditional LLM applications rely more on context to
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Theory of Agent: When AI Agents Should Use External Tools
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When should AI agents actually reach for external tools? Researchers from Edinburgh, CUHK, UIUC, Northwestern & Princeton present Theory of Agent (ToA) at ICML 2026. Their answer: only when epistemically necessary — meaning the agent cannot complete the task reliably using its
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Chat tools hit ceiling when context window full; become CI pipeline
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That's a good way to frame it. Chat tools hit a ceiling when the task outgrows what one context window can hold. Once the plan lives in executable code with parallel agents, resumability, and convergence loops, it's closer to a CI pipeline than a conversation.