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The EU AI Act establishes a phased implementation timeline beginning from its entry into force, with key compliance deadlines including prohibitions on unacceptable-risk AI at 6 months, codes of practice for general-purpose AI at 9 months, and obligations for high-risk AI systems listed in Annex III at 24 months. The Commission will issue secondary legislation and guidelines at specified intervals, with some obligations not taking effect until the end of 2030 for large-scale IT systems in freedom, security and justice areas. Member states must establish regulatory sandboxes, implement penalty rules, and ensure authorities are appointed to oversee compliance across the phased rollout.
A researcher developed a preference predictor that forecasts which AI model users will prefer for specific prompts by training on 20,927 comparison matches from LMSYS's Chatbot Arena dataset. The predictor achieved 76.2% accuracy when incorporating prompts as input, compared to 74.1% accuracy from Chatbot Arena's Bradley-Terry ranking that only considers model pairs. This enables model routing to direct queries to cheaper or faster models when they perform comparably to stronger models, potentially reducing costs and latency while maintaining response quality.
BigCode released StarCoder2, a family of open-source code language models in three sizes trained on The Stack v2, a new high-quality code dataset. The flagship StarCoder2-15B model was trained on over 4 trillion tokens across 600+ programming languages, while the smaller 3B variant matches the performance of the original StarCoder1-15B model. All models, datasets, and training code are publicly available, enabling developers to build and fine-tune code applications without proprietary dependencies.
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