Will Brown: Continual Learning in the Harness Is Like a Computer Without RAM
willcb · x · 2026-10-22
OpenAI researcher Will Brown offered a computer architecture analogy for current agent continual learning approaches: relying on "continual learning in the harness" is like a computer with a cache and a disk but no RAM — technically workable, clearly suboptimal. "You want RAM," he wrote, implying agents need a fast read/write memory layer at runtime rather than only slow persistent storage.
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