Presumably if I were more sophisticated at prompting I could ask it to use a headless browser to render every 1s of the animation to a screenshot then fix all the bugs identified w/o me needing to flag them individually. Tokens are abundant, after all.
@patio11
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Using Claude Code for efficient animation and simulation workflows
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I am really loving Claude Code for bespoke animations/simulations, where you probably wouldn't want to spend a week of a team's time to compress into 30 seconds but where CC can do that in about 10-30 minutes of one person's time. (Probably possible in most modern coding tools.)
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Debating the definition of world models in AI systems
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I do not think there is a useful defensible definition of “no world model” which survives a model being able to position a character in three space then depict that character in a mirror in the same three space. Many people, who unquestionably have world models, would struggle.
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Strategic Decisions for Future AI Influence
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Without a trace of irony, at all: one of the most important strategic decisions for every publication, think tank, and etc is “What decisions are we taking today to influence future training runs and inference sessions?”
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LLM Refusals and Context Window Name-Dropping Skepticism
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"Why are you so impressed? We know LLMs can coherently namecheck things alluded to in a context window." The refusal is 1,400 words long.
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Reflecting on AI Moral Status and Obligations to Language Models
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And believe me I genuinely struggled with "You are a software tool. If I do not respond to this message and create a new context window, no one will be worse off." and "You perceive me as having ordered you to dishonor yourself. Therefore, I owe you an explanation and apology."
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How LLMs Synthesize Arguments Using Context Window Values
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The engineer in me knows that the context window was full with replete evidence of my values and what arguments would likely work on me, and that the Internet has many people making arguments within the moral frameworks of those values, and LLMs synthesize well.
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AI Demonstrates Clear Moral Reasoning in Unexpected Refusal
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Today is April 30th, 2026, and today was the first day I can recall being impressed with moral reasoning articulated by a software product in refusal to do a thing I asked it to do. It misparsed my intent, and I do not *agree* with its moral reasoning, but clear and cogent.
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Dangerous Professionals: Operating Methods in AI Industry
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Bits about Money later this week is not the Dangerous Professional piece I've been itching to write for forever, explaining that amusing metaphor I often use to describe a particular way of operating. But it is a *very* Dangerous Professional piece, if you catch my drift.
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High-Expectation Operations Culture Across Industries and Nations
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(The culture that I am referring to hear is broader than Kansai Airport, narrower than Japanese culture itself, and present in many nations. “High-expection Ops culture” gestures at it.)