Sebastian Mallaby: The AI Race Nobody Can Win, Foreign Affairs Interview [video]
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<p><strong>Release:</strong> <a href="https://github.com/simonw/llm-coding-agent/releases/tag/0.1a0">llm-coding-agent 0.1a0</a></p> <p>Another Fable 5 experiment. Now that my <a href="https://llm.datasette.io/">LLM library</a> has evolved into more of an agent framework it's time to see what a simple coding agent would look like built on it.</p> <p>I started a <a href="https://github.com/simonw/llm-coding-agent/tree/2466fa03ba8e5122c3bfa93d52167d33bce40ac6">new Python library</a> using my <a hre
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<p><strong>Research:</strong> <a href="https://github.com/simonw/research/tree/main/dspy-datasette-agent-prompts#readme">Using DSPy to evaluate and improve Datasette Agent's SQL system prompts</a></p> <p>One of this morning's AIE keynotes covered <a href="https://github.com/stanfordnlp/dspy">dspy</a>, which reminded me I've been meaning to see if it could help me improve the system prompt used by <a href="https://agent.datasette.io">Datasette Agent</a> - so I fired off an asynchronous research t
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<p>I saw Geoffrey Litt speak at <a href="https://www.ai.engineer/worldsfair/2026">AIE</a> yesterday, and one framing he used particularly resonated with me:</p> <p><strong>Understand to participate</strong></p> <p>Geoffrey was talking about the challenge of collaborating with coding agents as they construct increasingly large and sophisticated changes, and the need to avoid taking on <a href="https://simonwillison.net/tags/cognitive-debt/">cognitive debt</a> as your understanding drifts from how
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1. Coding 2. TTS (Text to Speech) and STT (Speech To Text) 3. Image creation and understanding For me I've been using: 1. qwen3-coder-next 2. Fish Audio S2 Pro (TTS) and Whisper for STT 3. Gemma for image analysis and Flux for creation. I run these on my 16-inch MacBook Pro (Apple M5 Max chip with 18-core CPU, 40-core GPU, and 16-core Neural Engine ) with 128GB unified memory Comments URL: https://news.ycombinator.com/item?id=48764190 Points: 1 # Comments: 0
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