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Tesla Autopilot Investigation: What Happened in Texas Crash?
Whether the Autopilot system was truly active, overridden, or malfunctioning likely won't be resolved until investigators finish combing through the vehicle's data logs.
NVIDIA Cosmos: Open Platform for Physical AI Development
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
Uber's 500 Data-Capturing Vehicles for AI Infrastructure
The modified Ioniq 5 will be loaded with sensors to capture data for Uber's new AV Labs division.
Waymo Pauses Freeway Rides and Atlanta, San Antonio Services
The service suspension comes as Waymo has also paused operations in Atlanta and San Antonio after its robotaxis drove into flooded streets.
Waymo Pauses Robotaxis in Four Cities Due to Flooding Issues
Waymo's robotaxi service is now suspended in both Atlanta and San Antonio, as the company works to stop its vehicles from driving into flooded roads.
Tesla's Full Self-Driving Expands to Europe
First came the Netherlands, now it's Lithuania. And more European countries appear to be in the queue for Tesla's driver-assistance system.
Tesla's Robotaxi Crashes Highlight Autonomous Challenges
Newly unredacted crash reports reveal some of the troubles Tesla has had as it tries to scale its robotaxis.
Waymo Issues Recall for Robotaxis to Address Flooding
Waymo has issued a software recall that makes its robotaxis more cautious around flooded areas. A "final remedy" is in the works.
Enoch: Control Plane for Autonomous AI Research
Enoch: Revolutionizing Autonomous AI Research Enoch stands as a cutting edge Control Plane designed to optimise and facilitate autonomous AI research. By offeri…
Uber's Plan to Turn Drivers into Self-Driving Sensors
Praveen Neppalli Naga, Uber's chief technology officer, revealed the plan in an interview at TechCrunch's StrictlyVC event in San Francisco on Thursday night, describing it as a natural extension of a nascent program the company announced in late January called AV Labs.
Google Expands Pentagon's AI Access After Anthropic's Refusal
After Anthropic refused to allow the DoD to use its AI for domestic mass surveillance and autonomous weapons, Google has signed a new contract with the department.
Navigating AI Agent Governance: A Growing Organizational Challenge
Something I've been thinking about that doesn't get discussed enough outside of technical circles: the organizational and safety implications of uncoordinated AI agent deployment. Companies are shipping agents fast. Customer service agents, coding agents, data analysis agents, internal ops agents. Each team builds their own. Each agent gets its own rules, its own permissions, its own behavior. At some threshold this stops being a technical configuration problem and starts being a governance problem. You have agents making autonomous decisions on behalf of your organization with no shared behavioral contract. No unified view of what your AI systems are authorized to do. Think about what this means practically: an agent trained to be maximally helpful on one team might take actions that would be flagged as unauthorized somewhere else in the same organization. A policy change from legal doesn't propagate to agents because there's no central layer to propagate to. Nobody knows which agents have access to what data. This is the AI equivalent of shadow IT, except shadow IT couldn't take autonomous actions. What's the right mental model for governing a fleet of AI agents? Treat each agent like an employee with a defined role and access policy? Build an org chart for agents? Create a behavioral constitution that all agents inherit? Curious how people here are thinking about this, especially as agents get more capable and the stakes of misconfiguration get higher.