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AUSO: Action-Level Unified Skill Optimization from Internalization to Utilization

Skills play different roles as an agent's policy evolves: they should first provide learnable knowledge, then support capability formation, and finally be invoked only when they improve individual decisions. Existing methods rarely model this lifecycle. They either keep skills outside the model, fully internalize them, or select among internalization and utilization objectives through noisy…

We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.

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AI Is Learning to Write Genetic Code

This sort of research is both exciting and terrifying: The two models in question were told to generate complete genomes for a viable bacteriophage—a type of virus able to infect and replicate itself…

The bots already won the front door

The bots are winning. That’s my clearest takeaway after reading the first section of the latest State of the Bots report from TollBit, which builds payment rails between publishers and AI crawlers . In it, People Inc.’s Chief Innovation Officer, Jonathan Roberts , outlines the company’s approach to AI bots scraping content from its many…

Accelerating aircraft IFEC diagnostics with agentic AI on AWS

Panasonic Avionics worked with AWS and the AWS Generative AI Innovation Center to build an agentic AI system on Amazon Bedrock, Amazon SageMaker, and AWS Glue that diagnoses in-flight entertainment and connectivity (IFEC) issues across a global fleet, reducing diagnosis time from hours to minutes while maintaining accuracy.

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