Žinutės

Depth-aware light injection in TypeGPU I got a 448x448 monocular depth model down to ~8 ms on my M4 Pro across ~250 dispatches, which is fast enough to use in realtime :D Since the inference is… | Konrad Reczko | 270 comments

Depth-aware light injection in TypeGPU I got a 448x448 monocular depth model down to ~8 ms on my M4 Pro across ~250 dispatches, which is fast enough to use in realtime :D Since the inference is written directly in TypeGPU, I can just feed the depth buffer straight into the lighting pass. It never has to leave the GPU or go through any extra synchronization/interop step Inference, lighting and draw all go through the same command encoder | 270 comments on LinkedIn

LinkedInPerskaityta 2026-09-09 15:03

Elon’s SpaceX just dropped a GitHub competitor: Cursor launched Origin, their own code hosting platform built for AI agents 😳 The craziest part? It went live while GitHub is currently experiencing… | Linas Beliūnas | 155 comments

Elon’s SpaceX just dropped a GitHub competitor: Cursor launched Origin, their own code hosting platform built for AI agents 😳 The craziest part? It went live while GitHub is currently experiencing a global outage 😭 No more human-speed GitHub bottlenecks. No more agents waiting on old infrastructure. Just sync your repos and let them run at full machine speed. ↳ Code, PRs, and agents live in one place ↳ Real-time sync with GitHub (it becomes the backup) ↳ Parallel agents can commit, review, and merge nonstop Because the real bottleneck was never writing code. It was coordinating what machines produce at scale. And Cursor just removed it. GitHub is now the compatibility layer, while the actual work happens inside Cursor. Cursor is building the next generation of AI software & defining how it gets built. P.S. also check out Y Combinator's QM: The Complete Guide to YC's Open-Source AI Agent Harness 🤖: https://lnkd.in/dqMh63bi | 155 comments on LinkedIn

LinkedInPerskaityta 2026-09-09 15:03