Researchers acknowledge latency as the core barrier to real-world deployment
3 Yesterday 12:08 PM · 12h ago · 1 comment · 1 source · development 3 of 6
An openpilot contributor notes that while Astra can theoretically drive the course, cloud latency makes it impractical for real-world use. The benchmark operates at extremely low speeds and includes timestamp data to let the model learn its own latency in context, but this is framed as a proof-of-concept, not a viable system.
“Three reasons: latency, latency, and latency. openpilot's driving model updates the target curvature and acceleration at 20Hz.”
jyoung8607OpenAI Creator of GPT-6 Astrajyoung8607 openpilot external contributor, benchmark commenterAditya Ramabadr et al. Benchmark creatorsvaline HN commenter
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This also explains why Astra is so good at video generation. I have an Astra+Higgsfield setup. I could point it to a Github repo and ask it to generate a product walkthrough and it did a very good job by generating fake screens (e.g. with data filled in) from real ones - which wasn't possible in earlier models
All 6 developments of GPT-6 Astra successfully drives a real car in benchmark test →
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