Commenters propose hybrid architecture combining local control with cloud reasoning
4 Yesterday 12:31 PM · 12h ago · 4 comments · 1 source · development 4 of 6
A user suggests a synthesis where hardware handles low-level control and safety, while cloud LLMs handle high-level decision-making like whether to pass a car or adjust speed for traffic and weather—addressing openpilot's 'robotic' driving style.
“Eyes, control, and safety critical features on the hardware, higher level decision making to the cloud.”
ramesh31OpenAI Creator of GPT-6 Astrajyoung8607 openpilot external contributor, benchmark commenterAditya Ramabadr et al. Benchmark creatorsvaline HN commenter
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What people said 4 voices · verbatim
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I'm not an expert in the LLM space, but I'm an external contributor to comma.ai's openpilot project and I'm and quite familiar with how its controls work, so I looked from that perspective. There's two questions here:1) Could a cloud-delivered LLM figure out how to drive this route, based on those input data and given access to those output…
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Perhaps there's a synthesis to be had though. Eyes, control, and safety critical features on the hardware, higher level decision making to the cloud. Openpilot's biggest weakness has always been in the very "robotic" way that it drives, which is technically correct but causes frustration for other drivers. Deciding "should I pass this car" is a…
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As an external contributor to comma.ai, do you feel like you helped contribute to these deaths mentioned in the article?
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> otherwise you can't reactI'm far from neuroscience, but humans don't need to operate at 20Hz to drive a car. And human reaction latency (event to measurable action) is often over 1s (under 1Hz).
All 6 developments of GPT-6 Astra successfully drives a real car in benchmark test →
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