The essay connects action efficiency and exploratory learning to the argument for scaling intelligence both vertically and horizontally, with humans participating in collective systems.
article — April 20, 2026
Benchmarks for the 300,000 BCE Agents
ARC-AGI-3 highlights weaknesses in agents learning to act in unfamiliar environments. Building coherent collective intelligence requires more than parallelizing isolated models.