One of the most important objects in agentic AI may turn out to be a Markdown file. Not the model weights.
Not the prompt. The skill document. A new Microsoft paper introduces SkillOpt: Executive Strategy for Self-Evolving Agent Skills. The thesis is sharp: If an agent’s
AI
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Microsoft paper: SkillOpt for self‑evolving agent skills
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AI security benchmark separates vulnerability reasoning from file location
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AI security is not one thing. Reasoning about a vulnerability class and locating the responsible file are different problems. Brammert and the team's benchmark separates the two There's gap in every tool tested, including ours Right framing for what comes next in this space
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Grok Build nav section appears, hinting at upcoming release
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A new Grok Build section has started appearing in the nav bar for users. It is not currently functional, but it may signal an upcoming release of the Grok Build web experience. Soon?
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Huawei’s Tau Scaling Law Key to Post-Moore AI Efficiency
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The future of AI will not only be shaped by better models. It will be shaped by faster, more efficient systems underneath them. That is why Huawei’s Tau Scaling Law (Her’s Law) matters for the post-Moore era. #HuaweiPartner @Huawei #AI #Semiconductors #ChipDesign #MooresLaw
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AI inference efficiency depends on data movement through memory, chips, and interconnects.
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This matters directly for AI inference. Every AI response depends on data moving through: memory,
chips,
interconnects,
and full systems. If that movement is slow, inference becomes slower, more energy-intensive, and more expensive to scale. -
Next AI Bottleneck May Be Data Movement, Not Compute
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The next AI bottleneck may not only be compute power. It may be data movement. Huawei’s Tau Scaling Law (aka Her’s Law) brings this question into focus: How much time can we remove from the system? #HuaweiPartner @Huawei
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Benchmarks vs product fit: why models aren’t the main problem
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Hot take 🔥
— God of Prompt (@godofprompt) 26 mai 2026
Most AI products don’t have a model problem.
They have a “we blindly worship benchmarks built for someone else’s use case” problem.
Your users don’t care what model won Twitter this week.
They care if your product works.
That’s why routers are the real unlock.… https://t.co/VTfSuVSJ4eHot take Most AI products don’t have a model problem. They have a “we blindly worship benchmarks built for someone else’s use case” problem. Your users don’t care what model won Twitter this week. They care if your product works. That’s why routers are the real unlock.
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AI Agents and Responsibility: clip by @thsottiaux and @siliconvalleymm
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Agents and AI responsibility; nice clip from @thsottiaux and @siliconvalleymm https://t.co/nDhaCB2v70
— Gary Marcus (@GaryMarcus) 26 mai 2026AI Agents and Responsibility; nice clip by @thsottiaux and @siliconvalleymm
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Cofounder as AI cofounder for ActiveGraph, managing website and blog
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for ActiveGraph, i'm using Cofounder by @intelligenceco as my… cofounder I'm working on the repo, doing research. Cofounder built the website, manages newsletter/blog, and when I do a new blog or have something new to share, I just ping it saying "here's a link/content, can
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Cheap AI Could Derail OpenAI Anthropic IPOs
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Cheap AI could derail OpenAI and Anthropic's IPOs https://
youtu.be/q6WWY6q2-ac?si
=W_F3A3fIU0EGEGq2
… via @YouTube #AI #OpenAI #anthropic #IPO @sonu_monika @enilev @Jagersbergknut @TysonLester @chidambara09 @labordeolivier @BetaMoroney @tlloydjones @Nicochan33 @jeancayeux @RLDI_Lamy @pierrepinna