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1. Google DeepMind:
Large language models (LLMs) are remarkably versatile. They can summarize documents, generate code or even brainstorm new ideas. And now we’ve expanded these capabilities to target fundamental and highly complex problems in mathematics and modern computing.
Today, we’re announcing AlphaEvolve, an evolutionary coding agent powered by large language models for general-purpose algorithm discovery and optimization. AlphaEvolve pairs the creative problem-solving capabilities of our Gemini models with automated evaluators that verify answers, and uses an evolutionary framework to improve upon the most promising ideas.
AlphaEvolve enhanced the efficiency of Google's data centers, chip design and AI training processes — including training the large language models underlying AlphaEvolve itself. It has also helped design faster matrix multiplication algorithms and find new solutions to open mathematical problems, showing incredible promise for application across many areas. (Sources: deepmind.google, storage.googleapis.com. More on this from Nature and Wired)
2. 404 Media:
“...no State or political subdivision thereof may enforce any law or regulation regulating artificial intelligence models, artificial intelligence systems, or automated decision systems during the 10 year period beginning on the date of the enactment of this Act,” says the text of the bill introduced Sunday night by Congressman Brett Guthrie of Kentucky, Chairman of the House Committee on Energy and Commerce. The text of the bill will be considered by the House at the budget reconciliation markup on May 13. (Source: 404media.co, italics mine. More on this here.)
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