The scale of Hyperspace 📈 2 million node registrations with 500k live active nodes at peak (30D avg: 300k) 🛜 5x reachable unique active nodes compared to Ethereum 🔐 10 million unique wallets created for using nodes and the AI products 💬 700 million peak network pings in a day 🌏 6000 cities node registrations have been from

OpenAI with the launch of o1 has inadvertently proved out the crypto x AI intuition I wrote in this essay exactly one year ago: A model like o1 now has a reasoning token budget of 25,000 for a single prompt - representing atleast a 20x increase in average per prompt token budgets. This is a parallelized computation task, where distributed and decentralized networks can scale infinitely. And - the intelligence as perceived by a user actually improves! Consider if a network like Hyperspace grows from the 20k+ nodes today to 20 million nodes one day, it would be amongst the top 5 AI clusters in the world where you would get the most intelligent answers from. And it would also be cheaper at the same time as it’s a function of local electricity costs plus real-time market economics. There are no middle-men. Even micropayments between agents would be managed through a protocol run by a fraction of these nodes. Big pre-trained models on small clusters are dinosaurs in that world. Too slow, not that intelligent, even as they please some people in the academic community. What eventually wins are the biggest networks. Since intelligence is now a function of parallelized scaling of inference, nearly all of AI is going to be distributed. This is a once-a-20-year-market. Our priorities are clear: we want to build the most impactful distributed AI venture and we will not compromise on that vision. That work thus spans from new models, AI products, distributed systems, networks, clients, and protocols. We scale using software. cc @ylecun

we will cross well over 1 million GPUs brought online by the end of this year! very proud of the team but now they better get to work figuring out how to 100x that lol

from sketch to code

Prediction: I think a large number of leading-edge devs will stop using IDEs in the next 12 months. I've always used an IDE because I like the UI, but I find that for agentic coding, there's now a huge amount of cruft in the IDE UI that just slows me down and slows the agent down. I'm moving to just using CLI agents + gitui + a couple terminal panes and I'm way faster. Curious to hear everyone's thoughts. I think we're starting to see the beginning of SDLC 2.0 This also means it's time for GitHub 2.0 to emerge.