naman gupta

Advanced Certificate in Data Science from IIIT Bangalore done! Advanced Certificate in Data Science from IIIT Bangalore done! Specialized in NLP and ready to build something meaningful with it. #DataScience #NLP #IIITB #AI

Looks interesting will love to try it out.

wanna see how your typescript code would look in rust checkout this cool project by @rayugacodes

@Sarthak4Alpha @101xanshu The project will be extended to cover multiple languages, incorporating this as well.

@101xanshu @rayugacodes Make for go too Python to go

1,000,000,000 digits of Pi. 100% accurate. PiEngine just hit the 1B milestone using OCaml 5 + Chudnovsky algorithm with binary splitting. Time: 1256.49s (~21 min) HW: Ryzen 7 Pro (all cores pinned) RAM: ~12GB peak #OCaml #SystemsProgramming

@cypherzk_ @Arcium @SuperteamIN @superteam UI is sick dyum 🔥🔥🔥

we’re cooking something big & applying for @Arcium RTG launch coming sooner than you think. Don’t get left behind hop on the waitlist here: cyphers.live/waiting-list cc : @SuperteamIN @superteam

just submitted rpc-stats to @colosseum Frontier. the idea is simple: every RPC provider claims they're the best at landing transactions. none of them can prove it. so we built a system that tests helius, triton, and alchemy every 30 seconds. on-chain verified via geyser. live public leaderboard. no marketing. just data. built with @Subhdotsol 🤝

claude inside neovim

Introducing Skema → a live schema visualizer for the modern developer. • Draggable nodes • Live updates as you type • Rust + WASM (fast on big schemas) • Beautiful UI by @marsihq • Fully open source Try it: skema-sigma.vercel.app Star it: github.com/namanguptagit/…

@100xDevs @kirat_tw

GM devs What’s everyone building this Sunday? 👀 Drop your projects below and admin will rate them out of 10. Also, don’t forget to touch some grass today.

@100xDevs @kirat_tw crab-script.vercel.app

Special thanks to @pie314n for this great idea and @Subhdotsol for helping us make this .

what surprised us: a 360M model is enough if the action space is tight decomposed rewards are non-negotiable for debugging offline replay isn't RL - it's sequence completion with extra steps. the world model fixes this.

we taught a small language model to schedule a linux kernel 360M params. 44ms inference on a laptop CPU. trained against a learned world model of the kernel itself. here's how it works ↓