At Vercel, we’re building self-driving infrastructure, a system that autonomously manages production operations, improves application code using real-world insights, and learns from the unpredictable nature of production itself.
Towards self-driving codebases · Cursor
We're making a part of our multi-agent research harness available to try today in preview.
Autonomous Driving: Self-Driving Technology | General Motors
General Motors is leading the advancement and safe deployment of autonomous vehicles so more people can experience a safer, more relaxing hands-free drive.
Environments Hub: A Community Hub To Scale RL To Open AGI
RL environments are the playgrounds where agents learn. Until now, they’ve been fragmented, closed, and hard to share. We are launching the Environments Hub to change that: an open, community-powered platform that gives environments a true home.Environments define the world, rules and feedback loop of state, action and reward. From games to coding tasks to dialogue, they’re the contexts where AI learns, without them, RL is just an algorithm with nothing to act on.
Introducing eve
Introducing eve, the open-source agent framework from Vercel for building, running, and scaling agents in production, with durable execution, sandboxed compute, approvals, channels, tracing, and evals built in.
Udacity plans to build its own open-source self-driving car | TechCrunch
Sebastian Thrun's online education startup Udacity recently created a self-driving car engineering nanodegree, and on stage at Disrupt today Thrun
Automotive — Solutions — Liquid AI
On-device AI for automakers — real-time, personalized in-car assistants that run on the vehicle's existing CPUs and NPUs.
Building reliable sim driving agents by scaling self-play
Simulation agents are essential for designing and testing systems that interact with humans, such as autonomous vehicles (AVs). These agents serve various purposes, from benchmarking AV...
Hyprstream - the open network for self-improving AI, the future of Plan9
zeroclaw-labs/zeroclaw
Fast, small, and fully autonomous AI personal assistant infrastructure, ANY OS, ANY PLATFORM — deploy anywhere, swap anything 🦀
zeroclaw-labs/zeroclaw
Fast, small, and fully autonomous AI assistant infrastructure — deploy anywhere, swap anything 🦀
Awesome RSI: A curated research map of Recursive Self-Improvement
A curated research map of Recursive Self-Improvement (RSI): models, agents, harnesses, embodied systems, automated AI R&D, benchmarks, and safety.
A product modeling platform for AI-built software
The first version is magic. Auto turns product intent into a durable model your agent can build from as the product evolves.
PrimeIntellect-ai/prime-agent
A self-improving RLM agent for coding workflows and long-running autonomous tasks.
AI, Deep Learning, and Machine Learning: A Primer | Andreessen Horowitz
watch time: 45 minutes “One person, in a literal garage, building a self-driving car.” That happened in 2015. Now to put that fact in context, compare this to 2004, when DARPA sponsored the very first driverless car Grand Challenge. Of the 20 entries they received then, the winning entry went 7.2 miles; in 2007, in...
