18 August 2026

AI models can now adapt while answering questions

• Test-time training lets models adjust their internal settings while responding to a user, rather than before or after.
• This approach uses less memory by keeping weights fixed instead of storing growing records of each conversation.
• The tradeoff is that each user needs their own separate model running, which demands more computing power overall.

How it was covered

TLDR AITLDR editorial team

Test-time training enables AI models to update their weights during use, reducing memory needs by using fixed-size weights instead of growing KV-cache. The trade-off requires separate models for each user, increasing computational demands.