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Google released Gemini 3.1 Pro, an upgraded AI model designed for complex reasoning tasks across consumer, developer, and enterprise products. On the ARC-AGI-2 benchmark for solving novel logic patterns, 3.1 Pro achieved 77.1%, more than double the performance of its predecessor 3 Pro. Developers can access the model through the Gemini API and AI Studio, while consumers with Google AI Pro or Ultra subscriptions gain higher usage limits in the Gemini app and exclusive access in NotebookLM.
OpenAI has committed $7.5 million to The Alignment Project to support independent research on AI safety and risks. The funding amount is $7.5 million, distributed to researchers working outside OpenAI on alignment challenges. This expands the pool of researchers studying how to make advanced AI systems safer and more controllable.
Researchers introduced Consistency Diffusion Language Models (CDLM), which accelerates diffusion-based language model inference by combining consistency-based training with block-wise key-value caching. The method reduces refinement steps by 4.1x to 7.7x and achieves latency improvements up to 14.5x on coding benchmarks while maintaining quality through trajectory-consistent training objectives. This enables diffusion models to compete with autoregressive approaches on inference speed while preserving their bidirectional context capabilities.
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