I don't usually watch talks, but this one made it into my watch queue for some reason I forgot, and it is very based: https://www.youtube.com/watch?v=ESXOAJRdcwQ

It's interesting that the user-friendlier/mass-market open-source AI tools (notably LLaMA inference and various Stable Diffusion frontends) seem to mostly be for generative tasks. I think there's a possible niche for more "boring" software for things like smarter search (e.g. I have search over my meme library using clip-retrieval, but it's somewhat out of reach of the average user's knowledge), although it might also be the sort of thing which gets commoditized and incorporated into OSes and such.

I'm envious of the people who consistently get 50% accuracy on Aaronson oracles. How are they doing it? Do they just have a lot more free will than me?

The GPT-4 launch was annoying for me in many ways, but I do still love the fact that for several days they accidentally (I think) gave out free access to it, including the unreleased multimodal capabilities, as a leaked Discord bot.

I have no idea how discoverability is supposed to work in the Fediverse, which makes it quite hard to look up how discoverability is supposed to work.

I am blogging. This is a blog entry which you are reading.