Commenters attribute Astra's performance to superior vision and spatial reasoning
2 Today 11:56 AM · 11h ago · 5 comments · 1 source · development 2 of 6
Contributors note Astra's strong performance on hard vision and spatial benchmarks—including ARC-3 scores and real-world game playing (Portal, Factorio, RimWorld)—and suggest this capability translates to driving tasks.
“What did they do to Astra so cracked at vision (and computer use). That ARC 3 score turned out to be no joke/fluke.”
famouswafflesOpenAI Creator of GPT-6 Astrajyoung8607 openpilot external contributor, benchmark commenterAditya Ramabadr et al. Benchmark creatorsvaline HN commenter
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What did they do to Astra so cracked at vision (and computer use). That ARC 3 score turned out to be no joke/fluke. That huge gap between Astra and Fable (in this case) is basically every hard vison/spatial benchmark i've seen including non-benchmarks like playing games (Portal, Factorio, RimWorld).SpatialBench -…
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The bitter lesson is finally coming for the self-driving cars. The vision stack, 3D maps, lane selection grammar, occupancy networks, it’s maybe all about to give way to a single GPT looking at camera feeds and predicting the next steering wheel adjustment.It’s mostly a latency problem at this point. The models are too big to run locally, but…
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I’m morbidly curious whether the (supposedly) superior compaction support in recent GPT models with an appropriate harness has anything to do with this. A conventional LLM with conventional attention is, of course, wildly unsuitable to continuous tasks like driving, but maybe as the technology advances it will improve in its ability to sort-of…
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Wow! but WHY is this a benchmark?? for comparison tesla's model is approximately 10-15B parameter model (estimating from maxxing the hardware that comes with the car at 16gb ram).
All 6 developments of GPT-6 Astra successfully drives a real car in benchmark test →
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