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Agentic AI for Robotaxis: Inside Autobrains

The autonomous driving industry has mostly converged on one architecture: a single, monolithic end-to-end model trained to handle the entire driving task.

Igal Raichelgauz, founder and CEO of Autobrains, argues that approach hits a wall on edge cases and compute cost.

His alternative is "agentic AI." Driving is broken into a large but finite set of specialized agents, each an expert in a specific situation, invoked by an orchestrator in real time. Autobrains claims this runs on roughly an order of magnitude less compute, needs almost no labeling, stays vision-only, and skips HD maps.

We…

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