jinay
Joined 6 years ago
Joined 6 years ago
It's a helpful analogy to understand the contrast between today's gradient descent vs open-ended exploration.
[1] First half of https://www.youtube.com/watch?v=T08wc4xD3KA
More notes from my deep dive: https://x.com/jinaycodes/status/1932078206166749392
I'd love to see how far I can take this by giving it to an LLM and asking it to format for me with Quarkdown.
Built one for myself. It's context-aware and promptable.
Tested well on Linux, not so much on other platforms but in theory should support them.
It's a bit meta but I wrote it mostly using Claude Code. Once I had an MVP, I was able to prompt much faster by just speaking out what I wanted it to change.
In fact, I wrote all this out using a dictation tool in ~20 seconds (258 WPM).
Search "io" on Google right now and see what comes up...
contact: hi at jinay dot dev