AI Engineer · August 12, 2026

Beyond Static Intelligence: Evaluating Continual Learning — Parth Asawa, UC Berkeley

Beyond Static Intelligence: Evaluating Continual Learning — Parth Asawa, UC Berkeley video thumbnail
Why it matters

Every leaderboard you have seen was built by asking a model to do one task, wiping its memory, and asking it another. Parth Asawa's objection is that this quietly assumes learning across instances does not count.

My takeaway: Beyond Static Intelligence: Evaluating Continual Learning — Parth Asawa, UC Berkeley is an agent-security signal. The practical read is that autonomy, memory, tool permissions, and third-party integrations are the control surface that needs threat modeling and monitoring.
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