sankalp

a lot of us are worshipping algorithms a lot less beneficent than claude…

you can also do stuff like this lol "woodblock print gradient descent minimal text"

people ask how did you make this... you can take the pic and ask chatgpt! but here is how i came up with it. from prior experiments, i knew chatgpt can make great posters plus japanese prints too...

something i wonder about - both claude and codex get a hell lot of feature requests and they both are not bounded by cost so they can effectively build anything. how do they figure out what to build next? i mean both features and integrations. dont say product taste lmao.

Today we introduce Physera to the world! Physera is an applied research and product lab working at the intersection of model efficiency and behavioural simulations. We are rethinking each layer of AI stack from first principles. 1. We believe there has been no better time to scale capabilities of frontier models with efficient architectures. 2. Simulating human decision-making with high-fidelity and multimodal environments. 3. Translating human judgment into models. We think the frontier of prediction has always been gated by the number of controlled variables we can simulate. We're looking for thoughtful folks to help shape this vision. Happy to chat!

when you finally understand how policy gradient works after going down the differentiation trenches and realising that the REINFORCE algorithm is literally the base form of policy gradient

I've spent the past few weeks reading 100s of public data sources about AI development. I now believe that recursive self-improvement has a 60% chance of happening by the end of 2028. In other words, AI systems might soon be capable of building themselves.