New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

VentureBeat
Jan 6, 2026, 12:00 am123 pts
A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to digest long docs, tickets, and logs, this is a bid to get “long memory” without paying attention costs that…

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