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THE DAILY INDEX

Technology, AI, software, security, crypto and business

GENERAL

TLDR AI

WHEN MODELS LEARN

Test-time training allows AI models to adapt by updating their weights during use, similar to a GPS learning a persistent traffic shortcut. This approach reduces memory needs by using a fixed-size set of weights instead of a linearly growing KV-cache but requires separate models for each user, increasing computational demands. The trade-off lies between the efficient handling of long contexts for personalized services and the broader accessibility of standard models.

TESTING FABLE VS SOL IN TERMS OF TASTE (THEY ARE BOTH BAD)

Researchers built a small harness and gave Fable 5 and Sol 5.6 the same jobs to evaluate their taste and creativity. The models had to follow the same creative process to build four different 15-second-long videos - three ads and one mini-documentary. The experiment showed that we are still far from having frontier models building production-ready concepts and videos autonomously. They can be creative and helpful for exploring and refining ideas, but they can't replace human judgment, for now.

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