as years go by I become simpler me my dog my girl and money for optical fiber, grocery/food delivery, all the books, the best closed and open LLMs, a couple friends, travel to a couple places to meet smart people and just follow my interests all day every day probably won't lead to generational wealth but it'll lead to me raising smth close to Leto II

every time you read a tech report from a SOTA open-source model that basically puts to shame 99% of western labs' models (besides the absolute top 2 ones), it always reads like: "yeah we basically curated very high quality data, carefully generated a lot of data [due to not being retarded], then we applied all of the best tricks and things we saw in the last 12 months for infra, post-training etc and came up with one or two [because we have taste / care]" the number of companies in the US who could be doing this with the $$$ being thrown around to them and none of them really ever doing anything like this tells you a lot about the talent pool in these companies

hard to top my pinterest algo

Found the bug. Trains in 2 minutes. No collisions/randomization for first test but pretty zippy! Multi-task + domain randomized next

agreed, a lot of fun (I’m in one of these pics, can you guess?)

Ludwigabap dot com mentioned

Galois has to have one of the tuffest mathematician lore of all time dawg >fail math exam at 16 bc examiners cant follow your proofs >submit insane papers to academy but they lose the manuscript twice >get rejected by basically every institution >join the artillery division of a revolutionary group >fall in love with some random girl >gets called out for a duel >writes down a paper that basically shapes modern algebra the night before and write “I have no time” in the margins >gets shot and dies unknown at 20 years old (hyperstitiously called out his own end years before) >it takes decades for anyone for his writings to be published and a few more decades for anyone to actually understand them >basically founded two entire fields of mathematics, solved a 350yo open problem >has an entire wikipedia page named “List of things named after Évariste Galois” insanely hard

I’m OOO for the week, you dummy

Pulling up fashionably late to the prime intellect meetup

some people would be more at peace if they accepted machine learning to be an empirical science where you first discover things and then you (attempt to) explain then