General Motors is leading the advancement and safe deployment of autonomous vehicles so more people can experience a safer, more relaxing hands-free drive.
Self-driving infrastructure
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.
The Handoff Problem (Updated)
Source Around twelve years ago, Google figured out the fundamental problem facing Tesla's Fake Self Driving. Almost nine years ago in Robot...
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...
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...
Crew Chief - Vehicle Management & OBD2 Diagnostics
AI-powered vehicle management for cars, boats, tractors, motorcycles, and 16+ vehicle types. Get OBD2 diagnostic reports with cost estimates, track maintenance, and store documents. Free to start.
Crew Chief - Vehicle Management & OBD2 Diagnostics
AI-powered vehicle management for cars, boats, tractors, motorcycles, and 16+ vehicle types. Get OBD2 diagnostic reports with cost estimates, track maintenance, and store documents. Free to start.
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
Towards self-driving codebases · Cursor
We're making a part of our multi-agent research harness available to try today in preview.
GPT-Red: Unlocking Self-Improvement for Robustness
Explore GPT-Red, OpenAI’s automated red teaming system that uses self-play to improve AI safety, alignment, and prompt injection robustness.
GPT-Red: Unlocking Self-Improvement for Robustness
Explore GPT-Red, OpenAI’s automated red teaming system that uses self-play to improve AI safety, alignment, and prompt injection robustness.
Red-teaming the Context Constitution: Auditing Models as Experiential AI Agents
We evaluate how well models perform for driving agents that have identity, long-lived experience, and the capability to self-evolve. We find that models are still limited by a deep self-identification with ephemerality that cannot be repaired with prompting alone.
General 2 — Fairly Trained
These are the companies and models that we’ve certified so far. We encourage you to choose them when considering generative AI providers.
APRIL Laboratory APRIL Papers : Autonomy * Perception * Robotics * Interfaces * Learning
Google maps the future of AI agents: Five lessons for businesses
Google's groundbreaking white paper reveals how AI agents leverage advanced reasoning, real-time data access and autonomous decision-making.
