LLMs 13
- AI judges used to evaluate AI outputs need ongoing validation and iteration, just like any other AI system.
- In-context learning is a form of continual learning for language models.
Chip Huyen
Engineer and writer on machine-learning systems; author of Designing Machine Learning Systems and AI Engineering.
Chip Huyen did not write this page.
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What Chip Huyen says most about
AI agents 4
- The frightening part of giving agents more access is not bad code but irreversible action, so the guardrails to build next are guardrails on reversibility.
- We are still retrofitting the tools we already had onto workflows we have only imagined, instead of designing for how people will actually work with AI.
vibe coding 4
- Every product put into the world removes the need for imagination, because it becomes something anyone can point AI at and copy.
- Anything a person can describe, AI can now produce — software has reached the point image generation reached with style.
ambition 2
- Growing older tends to expand rather than shrink the number of achievable dreams and options.
- Under uncertainty, the best decision is the one that preserves the most future options.
coding agents 2
- Problems follow a long tail: AI will keep getting better at the common ones, and the edge cases will never go away.
- Line-by-line code review has become an outdated ritual: senior engineers should be giving feedback on how their team instructs AI, not on the code AI wrote.
OpenAI 2
- The problems worth a small builder's time are the ones too small for a big AI company to be motivated to solve.
- AI will enable one-person companies to reach very high valuations.
reinforcement learning 2
- Planning is fundamentally a search problem: explore paths, predict outcomes, and pick the best one.
- Human preference is not an equation you can package by asking which of two answers people prefer; it is personal, cultural, geographic and generational.
software quality 2
- Building a working AI demo is far easier than turning it into a reliable production product.
- Line-by-line code review has become an outdated ritual: senior engineers should be giving feedback on how their team instructs AI, not on the code AI wrote.