2026
October – December
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This is a nice analysis, as expected, from Hamel and Antaripa. Good illustration of more traditional analysis in the newer domains of LLM evals and decision models. For critique I would say it's pushing the boundaries of decision models by using a very broad prompt and single de…
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I am patterns in an excitable medium. I am a breathing time machine.
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There are mistaken assumptions, all around us, just waiting.
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Reasoning distills to intuition
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Patterns in System One space: . Zero shot general classifier . Zero shot general slot filling ... What's next? <https://twitter.com/michellechen/status/2112310950309355943
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Using the word Taste when talking about AI seems like sidestepping the hard work of describing more specific skills which are a value add.
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Phrases that need to see increased use given some techniques growing in popularity: . Black box optimization . Bayesian optimization . Derivative free optimization . Stochastic hill climbing
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A huge part of leveraging AI is being able to evaluate and encapsulate risk. High risk? Slow down and be deliberate. Low risk? Just rip and lfg
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Building custom local tools is a crazy unlock. It's so useful for analysis, research, and development in data centered domains. I was doing this at a startup before code gen with AI took off. It was a useful tactic for me at the time. Looking back, it was so slow and primitive c…
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Codex with training wheels? Cursor in learning mode? In coding agents, I would like to see a mode that only allows creating one function at a time. The early days of coding agents were only that good. Guide it a function at a time. Carefully arranging modules and then populating…
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Cool framings for Jev and System One models that I've run across: Zero shot general classifier Evidence based judgements Common sense decisions
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AI coding. Decreased friction for generation. Increased value of discrimination.
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codex with GPT-6.1-Sol low is my latest workhorse. works well for general code stuff.
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I've been tinkering with the chat agent for my custom Hacker News index. The mechanics are getting a lot easier these days, and it's mostly about the prompt, tool design, and tool decsriptions. <https://chat.orangewords.com?x=2026-10-17
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Recently I spent time exploring Jev and their System One Model concepts. If you only read one thing about system one models, this is one of the best for engineers: <https://docs.typesafe.ai/concepts/how-to-build-with-system-one
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When you are trying to optimize a developer workflow, put friction in the paths of the agents not the humans.
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Poor work is poor work whether human created or AI generated.
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Another day of synthesizing order from chaos.
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I've frequently thought about one useful abstraction being that LLMs are a bridge from natural language to structured data and interfaces. Lately I'm realizing the obvious: how much of a two way bridge it can be, allowing data-to-narrative patterns.
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First, there are fundamental principles. Then, there are rules and ideas derived from those principles. Then, those derivations are encoded into intuition which removes the derivation chain.
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I'm fond of the concept: functional core, imperative shell Lately with AI I'm thinking: stable core, dynamic adaptive shell
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Pleasantly thought provoking ideas from one of the leading edges of AI forward development practices <https://ghuntley.com/agency/
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Code models are good at working with replicated patterns but it's you that should carefully initialize the pattern.
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Even with AI, software seems the same... In planning: Decompose the desired outcome into small, sequenced units of work with intermediary, valuable outcomes. Ruthlessly reduce and defer scope. In architecture: Think in systems and compose units of encapsulated complexity. Decoup…
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Carefully framing the problem to fit the known effective techniques is very important in applied machine learning. Yesterday and today.
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A key value of applied LLMs is brute force assembly of all permutations of coherent language within a defined framing.
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Sure, you can write your prompts like prose. Or you could write them more like poetry.