GPT-5.5 is the goat right now. Freaking excited for the next model. And Sama is great hyping it up 😉
GENERATIVE AI
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OpenAI Plugin Demonstrates Multi-Agent AI Workflow with Claude Code and Codex
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OpenAI launched a plugin so that Claude Code can use Codex And it just demonstrated why the future is not a single AI agent. It's several working together. It's not smoke. It's how LLMs work. The flow is simple: • Claude writes the code.
• Codex reviews it in an -
Voice-first shopping for dino outfits
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I've always wondered why we don't see any voice-first interfaces, so I tried to build one with OpenAI's new realtime voice api – you can now shop for your dino outfits with just your voice. pic.twitter.com/gKFekQ84RN
— Peter Gostev (@petergostev) 10 mai 2026I've always wondered why we don't see any voice-first interfaces, so I tried to build one with OpenAI's new realtime voice api – you can now shop for your dino outfits with just your voice.
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Gary Marcus on AI progress by 2027
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Ten of ten on this (and similar tasks) should be a lower bound: https://
garymarcus.substack.com/p/where-will-a
i-be-at-the-end-of-2027
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Generating iOS screens with Codex before implementation
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I like to start by asking Codex to generate a few iOS screens first (using the Image Gen skill), then asking Codex + GPT-5.5 to implement them. Not necessary since iOS already has great default HIG, but it usually ends up closer to what I want when the design direction is clear!
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AI outperforms ER doctors; not consulting it unethical
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It is unethical for a doctor not to consult an AI! A new study published in Science shows OpenAI's o1 model (not 5.5, but the over 1 year old o1!) outperformed ER physicians at diagnosing patients, identifying the correct or near-correct diagnosis 67% of the time versus 50–55%
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Agent-World: A New Self-Evolving Training Arena for AI Agents
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What if your AI agent could train itself by exploring thousands of real-world services and automatically finding its own weaknesses? Renmin University of China and ByteDance Seed introduce Agent-World, a self-evolving training arena. It works by having the agent discover new
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Hermes Agent and Codex Goal Tracking
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Codex /goal With Hermes Agent is life-changing.
— Shubham Saboo (@Saboo_Shubham_) 10 mai 2026
I updated my Hermes agent skill to give Codex a goal on the fly using Telegram and track each one of those codex goals in a Kanban board.
It has been really insane to see and track Codex execute goals in the wild. pic.twitter.com/9FEoZ7J0TwCodex /goal With Hermes Agent is life-changing. I updated my Hermes agent skill to give Codex a goal on the fly using Telegram and track each one of those codex goals in a Kanban board. It has been really insane to see and track Codex execute goals in the wild.
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Shifting from RAG to LLM Knowledge Compilation
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RAG is already becoming the “old way” The future of AI memory is not retrieval.
It’s compilation. Here’s the shift in one sentence: From searching information To structuring knowledge The new model? LLM Wiki Instead of: Chunking documents Running similarity -
Examples of fine-tuning LLMs in practice
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Asking because about once every six months I put out a call for examples of fine tuning LLMs working in practice and, aside from the obvious examples like Cursor, I don't often get many great answers