How Google’s ‘internal RL’ could unlock long-horizon AI agents

Researchers at Google have developed a technique that makes it easier for AI models to learn complex reasoning tasks that usually cause LLMs to hallucinate or fall apart. Instead of training LLMs through next-token prediction, their technique, called internal reinforcement learning (internal RL), steers the model’s internal activations toward developing a high-level step-by-step solution for…

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Google is appealing the ruling from its search antitrust case to avoid sharing data with rivals

Google has filed its appeal to the Department of Justice’s antitrust case that ended with a federal judge ruling that the company was maintaining a monopoly with its search business. While the company goes through the appeals process, it’s also asking that implementation of the remedies from the case, which include a requirement that Google…

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