quantisan
Joined 12 years ago
Karma
1,648
Submissions
295
Member since
Mar 16
Recent submissions
Comment · 3 months ago
Got curious about this year’s Fields Medal. Watched a couple of explainer videos on the Kakeya conjecture. I have particular trouble seeing the connection between Kakeya and Harmonics.
So I did what every AI fan would do: asked Fable 5 to do the research and build an educational game https://github.com/Quantisan/kakeya-game
5M tokens later, I’m still clueless. The game Fable built seems to repeat one of the videos almost step by step.
Normally, you’d prompt an LLM with your question and ask it to explain. But I don’t know what I don’t know, and I have a hard time articulating that gap. So what then?
Suggestions? (not looking for more explainers, I want to learn how to learn with AI)
Comment · 4 months ago
they want our interaction data
Comment · 5 months ago
I'm surprised Stanford Law would go along with this over-reaching press release title. How about "For common first-year contracts-law questions, law professors preferred AI-generated answers to professor-generated answers"
Comment · 5 months ago
Does this mean they're effectively a PE firm?
Comment · 1 year ago
Try Cmd-Shift-J. It dumps your buffer to a temp file, with the file path made ready for you. I do that and then open the temp file with vi.
Comment · 1 year ago
Comment · 1 year ago
I use Pico with LLM code gen for new projects. As you probably know, LLMs are predisposed to Tailwind and coding for industrial strength on any tiniest projects. The trick is to feed it the whole Pico docs as context and prompt it (i.e. in your CLAUDE.md) to use Pico explicitly.
[ my public key: https://keybase.io/quantisan; my proof: https://keybase.io/quantisan/sigs/u0FGzZhJPDkT3FJ-mDn8r-3zotnUtpFWETHF8cUTOVM ]