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THE DAILY INDEX

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TLDR AI

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INTRODUCING NESTED LEARNING: A NEW ML PARADIGM FOR CONTINUAL LEARNING

Continual learning, the ability to acquire new knowledge without forgetting old information, remains a major obstacle to AGI since current models suffer from “catastrophic forgetting,” where learning new tasks diminishes proficiency on previous ones. A proof-of-concept architecture called Hope, a self-modifying model that optimizes its own memory, outperformed modern recurrent models and transformers on language modeling and excelled particularly at long-context needle-in-a-haystack tasks.

OPENAI: AI PROGRESS AND RECOMMENDATIONS

The gap between everyday use of AI and its core capabilities is massive. Chatbots are used to write emails or replace web searches, while the underlying models outperform human experts in math and coding competitions. OpenAI is advocating for light regulation now to cement its market position before the next leap in capability. Once systems become transformative enough to warrant a coordinated national response, there will be a shift to federal oversight that overrides state-level restrictions.

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