Microsoft's SkillOpt boosts GPT-5.5 by using nothing but a trained Markdown file
Microsoft and three Chinese universities have developed SkillOpt, a method that optimizes instruction documents for AI agents using principles from traditional model training. A simple Markdown file is enough to boost GPT-5.5 by about 23 points on procedural tasks, and the same file transfers across models and agent environments like Codex and Claude Code.<br /> The article Microsoft's SkillOpt boosts GPT-5.5 by using nothing but a trained Markdown file appeared first on The Decoder. [...]
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Microsoft’s open-source SkillOpt automatically upgrades AI agent skills without touching model weights
Agent skills have become an important part of real-world AI applications, providing a mechanism — a set of instructions saved in a folder of text-based markdown (.md) files, usually — for models t [...]
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Nothing Phone 3a and 3a Pro review: Rising above the boring competition
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Nothing Phone 3 hands-on: A tiny, playful dot-matrix screen in the company's most expensive phone yet
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Microsoft says ungoverned AI agents could become corporate 'double agents.' Its fix costs $99 a month.
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Karpathy shares 'LLM Knowledge Base' architecture that bypasses RAG with an evolving markdown library maintained by AI
AI vibe coders have yet another reason to thank Andrej Karpathy, the coiner of the term. The former Director of AI at Tesla and co-founder of OpenAI, now running his own independent AI project, recent [...]
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