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Yesterday the LLM sliced through a problem like butter.
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The avoidable process error was mine: I briefly launched two flash/probe jobs in parallel against the same /dev/ttyACM0 device.
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Everyone is trying to go faster, running more agents to run more agents, to open more pull requests to orchestrator agents to then get reviewed by another fleet of agents.
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(Side note, you can also find this article on substack: like and subscribe if you want to help me spread the good word) A key attribute of good software has always been simplicity; the ability to say: this is the problem, and this is the smallest thing th…
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Using notation, tools or code don’t make the model smarter.
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There's a myth floating around that large language models (LLMs) like sonnet or gpt are mainly good for greenfield, one-off projects.
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You've probably heard about vibe coding—using large language models (LLMs) like ChatGPT or Copilot to program via natural language.
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(This is part of a longer series of short essays I'm writing as part of a marketing writing course.
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I am notoriously distracted and both my long and short term memories are less reliable than a hobbyist's kubernetes cluster.
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I have been playing with Tarot a little bit over the last year, inspired by hanging out with mysticism connaisseur Bob Doto and Xe Iaso's Tarot for Hackers.