Reading up on Nate Meyvis
2 deep · digging since mar 24
- The case for worrying about AI-specific cognitive debt
Agentic coding's cognitive debt may be worse than traditional coding if working at competence edges, weak mitigation adoption, and macro-level incoherence persist.
- Why aren't we fine-tuning more?
Fine-tuning large language models has not become widespread because prompts, model quality, and tooling like Claude Code reduce its necessity.