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What a way to celebrate one year of incredible Gemini progress -- #1🥇across the board on overall ranking, as well as on hard prompts, coding, math, instruction following, and more, including with style control on. Thanks to the hard work of everyone in the Gemini team and

A year ago we launched Gemini 🚀 Back then I shared with the team that it would be great to be in a position to beat ourselves. Just a year later this is starting to happen. But we have formidable competitors, so I expect this to age poorly 😅. GL HF! aistudio.google.com/app/prompts/ne…

Tomorrow at NeurIPS: MACHINE LEARNING FOR SYSTEMS Jeff Dean opens at 8:20AM, so come early (west 201) The most anticipated workshop, for us anyway! Tim Kraska Natasha Jaques Ahmed El-Kishky #mlforsystems Dan Zhang Haoran Qiu Divya Mahajan OpenAI Microsoft Research Google DeepMind

As an Massachusetts Institute of Technology (MIT) alum, I am appalled to see these comments maligning the integrity of an entire nation of people. This is both factually and ethically wrong. Please know that these comments do not reflect the views of the MIT community, who stand with you.

这对我来说是个人事。我以前有机会在中国工作和教课，我永远忘不了有这么多人花时间与我交谈并帮助我学习语言。我非常感谢，也非常尊重中国人民。而且每次我提到我是麻省理工的，人们总是很友善和尊重。所以我必须说尊重和钦佩是相互的！无论国际或种族，我们都是人类兄弟姐妹，都值得被视为个体。

A glimpse into the future of kernel design with AI: Inference-time compute scaling -> 100% correct GPU kernels for all 100 individual PyTorch ops (e.g. convs, matrix multiplies, layer norm, etc.) in Level 1 of KernelBench. Next is kernel generation for end-to-end models, new

In Large Language Monkeys, we showed the scaling laws of inference-time compute with repeated sampling--the power law relationship between the number of repeated attempts and the fraction of problems solved! The following amazing work theoretically proves the necessary and

Google DeepMind CEO Demis Hassabis hopes that competing nations and companies can find ways to set aside their differences and cooperate on AI safety: "It's in everyone's self-interest to make sure that goes well." Read his TIME100 interview: ti.me/4jbCz34

Meet CAVA! 🥂 This new benchmark evaluates important capabilities of Large Audio Models to produce high-quality and safe speech-in-speech-out voice assistants: ⚡️ Latency 📝 Instruction following 🛠️ Function calling 🎭 Tone awareness 🔁 Turn taking 🛡️ Audio safety More details👇

Many thanks to Christopher Manning and Stanford NLP Group - it's been an honor to be your student and I really appreciate all of the mentorship and support!

Excited to share that a scaled up version of Gemini DeepThink achieves gold-medal standard at the International Mathematical Olympiad. This result is official, and certified by the IMO organizers. Watch out this space, more to come soon! deepmind.google/discover/blog/…