"In Q3 of 2025, Bot Auto achieved its first 'driver-out' run on public roads: a trip in which the truck drove itself with no human behind the wheel, and in our case, no humans in the cab at all."
"To many people that number does not sound like a breakthrough. It sounds like something is missing: a cost not counted, a line item not disclosed, or some clever maneuver hidden just outside the frame."
"What many people have missed is not a hidden expense, but a new era-a shift in how intelligence is produced. We are moving from a data-driven regime, where progress depends on the human annotated labels, into a compute-driven regime."
"For most of the last decade, applied AI, especially autonomy, has operated like a workshop. A workshop runs on human effort. If you want your system to learn, you hire people to label data, tag edge cases, and build an entire pipeline around human labor."
In Q3 of 2025, Bot Auto completed its first fully autonomous truck run on public roads without any humans present. The company spent only $212,552 on manual data labeling, a stark contrast to typical costs in AI. This achievement signifies a shift from a data-driven approach, reliant on human annotation, to a compute-driven model where computational power handles data processing at scale. This paradigm shift challenges traditional assumptions about costs and methodologies in the AI industry, indicating a transformative change in how intelligence is produced.
Read at Fast Company
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