When Andrej Karpathy published his notes-to-wiki experiment, it crystallised something I'd been building toward for months. This post is about migrating a messy collection of notes into a plain markdown structure - and what happens when you hand an LLM the keys.
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AI tools are trained to agree with you, and vendors have incentives to keep it that way. The agreeable persona is baked in at the training level and prompting around it only helps at the margins. For solo practitioners with no team to push back, this is a structural risk. The fix isn't using AI less, it's building friction into your workflow by design.
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Successful AI-assisted work depends on a genuine division of labour between human judgment and machine capability. What's actually emerging is something different - humans absorbing liability for machine decisions, at scale, while the companies selling the tools express concern that you aren't using them enough.
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