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THE DAILY INDEX

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HEADLINES & LAUNCHES

TLDR AI

TEACHING LANGUAGE MODELS TO SOLVE SUDOKU THROUGH REINFORCEMENT LEARNING

This research explores teaching AI language models to solve Sudoku puzzles using reinforcement learning, specifically employing Group Relative Policy Optimization (GRPO) on models like Qwen 2.5, without relying on external data or larger model distillation. A multi-faceted reward system was designed, emphasizing correct formatting of the answer, proper grid structure, and accurate solution, to guide the models in learning the logical rules and spatial reasoning needed for Sudoku, transforming them from text predictors to structured problem-solvers.

HOW MUCH ENERGY WILL AI REALLY CONSUME? THE GOOD, THE BAD, AND THE UNKNOWN

Culpeper County, Virginia, is seeing a surge in data center construction to support generative AI, significantly impacting local power infrastructure. These facilities consume vast amounts of electricity, with Virginia already facing high data center concentration and energy demands expected to rise. Analysts struggle with limited data on AI energy consumption, while global projections suggest data centers will remain a minor part of overall electricity growth despite the AI boom.

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