We're Learning Backwards
LLMs are brilliant at many things, but still fail in unreasonable ways. Is that an issue of scale, or something more fundamental?
Musings of the nerd-sniped. Things worth understanding deeply, and things that probably aren't.
LLMs are brilliant at many things, but still fail in unreasonable ways. Is that an issue of scale, or something more fundamental?
Modern hardware is absurdly fast, which mostly seems to have bought software the freedom to feel slower, heavier, and less deliberate than it has any right to.
Native OAuth eventually turns into a question about local process boundaries, and answering it cleanly means learning just enough HTTP to build a tiny localhost server in C.
From image generators to code autocomplete, generative AI is reshaping what it means to create. But as adoption accelerates, our existing legal and ethical frameworks are not sufficient.
Teaching neural networks to play Chrome Dino, Connect 4, and Othello.