Test-time training lets models update their weights during inference, compressing long context into fixed memory and unlocking 2.7x speed gains—but forcing providers to serve per-user copies, creating a compute tradeoff suited only to personalized, high-value sessions like coding agents.
Read the full post on Tomasz Tunguz ↗
Topics: AI (Horizontal) · AI Infrastructure
Published by Tomasz Tunguz · their site ↗
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