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Cattle not pets, for software developers: The shift from handcrafted servers to immutable infrastructure taught us that mutability is the sworn enemy of understanding.
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I’m trying to get into a new habit.
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There’s an old business idea, usually attributed to Michael Gerber, about the difference between working in your business and working on your business.
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This is a list of AI benchmarks I’m watching.
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I had an deck in Anki, a flashcards app, with an annoying problem that I had caused when I imported the cards.
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I’ve been doing a bunch of keeping up with and experimenting with AI.
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Whenever a new model is released, I read the benchmarks.
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I tried Dia, a new Chromium-based browser with built-in AI features from the creators of Arc.
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Simon Willison released tool calling in his llm CLI.
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Google released an impressive improvement to Gemini, which now tops the WebDev Arena Leaderboard.
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Kagi benchmarks LLMs on a private benchmark.
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I’m Brian Samek.
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I keep seeing descriptions of Model Context Protocol (MCP) that are either vague metaphors or get too specific too quickly.
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Deep Research (three separate products!
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A few days ago I wrote that Perplexity is better for quick searches.
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o3 and gemini 2.5 pro being a single Elo point apart on LMArena with style control feels very steam-engine time.
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Simon Willison writes that “AI assisted search-based research actually works now.” o3 and o4-mini agentic research is truly impressive, as are ChatGPT’s and Gemini’s Deep Research.