2026
April – June
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As agents become the new search customer, there's so much room for re-thinking previous assumptions and so much room for creative new thinking and building. It's quite refreshing.
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Retrieval is so back.
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The recent attention to skills is starting to rival the noise around mcp from months back. I suspect software engineers are optimizing workflows too early, adding too much complexity, and not being precise enough with context building.
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Agents have induced lots of conversation around search implementation details. This has been useful for revisiting all kinds of assumptions baked into search systems thinking. I keep coming back to how agents have led us to relax the contraint of low latency. If I have more time…
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Context is the new customer for search
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The recent interview with Jensen Huang is so good. I've been listening to it repeatedly over the last day or two. It's definitely worth the repetition. I really appreciate Jensen's speaking style, and even seeing him drift a little outside the normal bounds. Sure things got inte…
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It's ok to have a nuanced opinion about AI.
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"I found it by systematic exhaustive search" -- paper author This abstract concept has been on my mind a while. It seems like enumerating all possible permutations of some domains could help with understanding and lead to innovations. It's straight forward but I don't see it dis…
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I suspect success with coding agents is inversely correlated to the average number of tokens per session. From observing online conversations, it seems like many people are having lengthy multitask sessions, use numerous skills tools mcps, and far too many tokens per session. Ma…
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It was an acciedent of sorts, that I ended up working at a couple of ISPs early in my career. It was beneficial to learn the fundamentals while working support and spending time in a noc. There's a lot to learn working as a network engineer and linux admin. The value of this exp…
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The value of encapsulation and composability in software is rising. It's a good way to manage complexity. It's also useful for allowing people to abstract work. Is the great refactoring beginning? Good article from Mitchell. https://mitchellh.com/writing/building-block-economy
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How many tokens are being wasted because people don't know about few shot learning?
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You rarely solve LLM output problems by adding more text. Instead, subtract anything which isn't absolutely necessary and ensure what remains is correct.
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One of my favorite ways to use AI is for ad-hoc learning. I can drop in to some area with a minor example or two, and then have AI give me the big picture and framing. A custom mini-curriculum, on demand.
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The man, the myth, the legend. Circa 2004.
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The new Moon crater names suggested by the Integrity crew on the Artemis mission was really nice. Moving.
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Today I instructed my agent to create a HUMANS.md file.
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I wrote a bash script by hand in vim recently. Artisanal.