Philip Guo
Professor of cognitive science at UC San Diego working on human-computer interaction and programming tools; creator of Python Tutor, the online code visualizer.
Philip Guo did not write this page.
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Their wordsI'd love to see operating systems develop a "restricted execution mode" specifically designed for vibe coding scenarios.
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Their wordsWhat excites me about the future is the potential for AI coding tools to suggest appropriate vibe checks automatically.
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Our reading
Vibe-ing greatly lowers the activation energy required for creative personal-scale projects.
Their wordsjust like with vibe coding, one of the great joys of "vibe-*ing" is that it greatly lowers the activation energy of getting started on creative personal-scale prototypes and tinkering-style projects.
- 8 weeks earlier
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Their wordsmy initial impression was that no amount of tweaking could make up for the fact that a smaller model is just less capable-like a dog brain compared to a human brain.
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Their wordsI've found that a short, direct, and simple system prompt with a larger LLM will beat elaborate system prompts with a smaller LLM.
- 13 months earlier
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Their wordsMy folk theory is that speaking and listening are hardwired into our brain's innate language circuitry, but writing and reading are learned skills (i.e., "software" rather than "hardware" in our brains).
- 6 months earlier
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Their wordsOur paper reinforces the growing consensus that LLM-based AI tools such as ChatGPT and GitHub Copilot can now solve many of the small self-contained programming problems that are found in introductory classes.
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Our reading
The quality of output from LLMs is dependent on the quality of the prompts provided by the user.
Their wordsThis digression reinforces the widely-known consensus that what you get out of LLMs like ChatGPT is only as good as the prompts you're able to put in.