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
LLMS
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OpenAI Plugin Demonstrates Multi-Agent AI Workflow with Claude Code and Codex
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Québec AI Sovereign Manifesto: Building AI‑First Enterprises
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The http://
QUEBEC.AI Sovereign Manifesto. The next great enterprises won’t just use AI. They become AI‑First intelligence organizations: – Agents discover.
– Validators prove.
– Memory preserves.
– Governance controls.
– The enterprise compounds. Québec’s sovereign AI -
Using AI to Build a Real-time MIDI Chord Visualizer
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codex-native weekend hack project:
— Dan Shipper 📧 (@danshipper) 10 mai 2026
1. buy cable to connect MIDI keyboard to computer
2. "hey codex, make a watcher script and a little web app to show me which chords im playing"
3. okay cool, now give me some exercises and help me see how to improve!
literally 5 minutes start… pic.twitter.com/JwIHw0qFCRcodex-native weekend hack project: 1. buy cable to connect MIDI keyboard to computer
2. "hey codex, make a watcher script and a little web app to show me which chords im playing"
3. okay cool, now give me some exercises and help me see how to improve! literally 5 minutes start -
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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Local AI surges with GGUF models
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Local AI is experiencing a major boom! Here’s the number of new GGUF models created each month over the past 8 months, along with insights from our internal HF agent (May data is partial): – 176,000 total public GGUF models on HF – Two distinct phases: Oct–Feb averaged ~5.1K new GGUF models per month
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Engineer’s switch to HTML increases token usage 2-4x
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Thariq Claude Code engineer just wrote a whole post about why he switched from Markdown to HTML for agent outputs. His own admission: it uses 2-4x more tokens. Dont know if this is the best advice looking at my rates rn 😀
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Impact of Token Reduction and Context Engineering on AI Models
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Exactly. At 98.7% fewer tokens, you're not tuning the same system. You're running a different one. And agreed on context engineering. The model that wins isn't the smartest one. It's the one that sees only what it needs, when it needs it.
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Using Claude Code to automate email API integration
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Thanks man, it's great. I think a few things, the way it's set up with Workers etc is confusing. Luckily Claude Code figured out quickly it could just do a POST to a URL with a token and send emails. I'd look at other email sending companjes to see how they do it Usually it's
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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