Google just released the STABLE build of Gemini 2.5 (including a new model!)
AI Summary
The video announces the general availability of Google’s Gemini 2.5 series of AI models, including the cost-efficient and fast Gemini 2.5 Flash Light and the Gemini 2.5 Pro. These models feature advanced capabilities like native multimodality (text, audio, images, video, code repositories), a massive 1 million token context window, and native tool use including Google search. Gemini 2.5 Flash Light is optimized for latency-sensitive tasks like translation and classification, while Gemini 2.5 Pro is preferred for coding and reasoning tasks. The models are sparse mixture of experts, activating parts of the model dynamically for efficiency. The video highlights their high speed, low cost, and improved factuality and reasoning. Training included reinforcement learning with verifiable rewards and model-based rewards, enhancing thinking behavior and accuracy. The models perform well on code-related tasks and can interleave tool use with internal reasoning. Video understanding is also improved, with competitive performance using fewer visual tokens per frame. Challenges include reading raw pixels and long-context generative reasoning. The video also touches on AI safety measures like automated red teaming and reduced memorization of private data. Overall, Gemini 2.5 models represent a major advance in AI model capabilities, speed, and cost-effectiveness from Google, now ready for production use.