Adams Wei Yu

It’s over. Gemini 3 Deep Think achieved a 3300 rating on LiveCodeBench Pro almost surpassing all humans (99.99%) and is leading GPT-5.2 by a massive margin of 1000 points. Gemini is insanely strong! Link：livecodebenchpro.com/projects/livec…

For years, RAW pixel space pretraining has been sidelined: too compute-expensive. Our new @GoogleDeepMind paper 📜 dives into the scaling trends of raw pixel models to answer the question “how far are we from scaling up next-pixel prediction?” arxiv.org/pdf/2511.08704 Forecast: Raw next-pixel modeling will reach competitive ImageNet classification (>80% top1 accuracy) and generation metrics (90 Fr’echet Distance) in five years! Threads 👇

Very excited to see our Gemini models getting better and better at coding! An advanced version of Gemini 2.5 Deep Think at the 2025 International Collegiate Programming Contest (ICPC) World Finals achieved gold-medal level performance! 🎉 deepmind.google/discover/blog/…

Following its IMO gold-level win, @GoogleDeepMind is sharing Gemini Deep Think with mathematicians for feedback. Excited to see what they discover! 🧠 Plus, an updated Gemini 2.5 Deep Think is now rolling out for Google AI Ultra subscribers. Learn more: bit.ly/3IWcWq0

🥁Introducing Gemini 2.5, our most intelligent model with impressive capabilities in advanced reasoning and coding. Now integrating thinking capabilities, 2.5 Pro Experimental is our most performant Gemini model yet. It’s #1 on @lmarena_ai leaderboard. 🥇

1/3 Today, an anecdote shared by an invited speaker at #NeurIPS2024 left many Chinese scholars, myself included, feeling uncomfortable. As a community, I believe we should take a moment to reflect on why such remarks in public discourse can be offensive and harmful.

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 elsewhere at Google! 🎊

Woah, huge news again from Chatbot Arena🔥 @GoogleDeepMind’s just released Gemini (Exp 1121) is back stronger (+20 points), tied #1🏅Overall with the latest GPT-4o-1120 in Arena! Ranking gains since Gemini-Exp-1114: - Overall #3 → #1 - Overall (StyleCtrl): #5 -> #2 - Hard Prompts (StyleCtrl): #3 → #1 - Coding: #3 → #1 - Vision: #1 - Math: #2 → #1 - Creative Writing #2 → #1 Congrats again @GoogleDeepMind! The LLM race is on fire — progress is now measured in days! See more analysis below👇

Exciting News from Chatbot Arena! @GoogleDeepMind's new Gemini 1.5 Pro (Experimental 0801) has been tested in Arena for the past week, gathering over 12K community votes. For the first time, Google Gemini has claimed the #1 spot, surpassing GPT-4o/Claude-3.5 with an impressive score of 1300 (!), and also achieving #1 on our Vision Leaderboard. Gemini 1.5 Pro (0801) excels in multi-lingual tasks and delivers robust performance in technical areas like Math, Hard Prompts, and Coding. Huge congrats to @GoogleDeepMind on this remarkable milestone! Gemini (0801) Category Rankings: - Overall: #1 - Math: #1-3 - Instruction-Following: #1-2 - Coding: #3-5 - Hard Prompts (English): #2-5 Come try the model and let us know your feedback! More analysis below👇

We’re presenting the first AI to solve International Mathematical Olympiad problems at a silver medalist level.🥈 It combines AlphaProof, a new breakthrough model for formal reasoning, and AlphaGeometry 2, an improved version of our previous system. 🧵 dpmd.ai/imo-silver

Gemini 1.5 Model Family: Technical Report updates now published In the report we present the latest models of the Gemini family – Gemini 1.5 Pro and Gemini 1.5 Flash, two highly compute-efficient multimodal models capable of recalling and reasoning over fine-grained information from millions of tokens of context, including multiple long documents and hours of video and audio. Our latest report details notable improvements in Gemini 1.5 Pro within the last four months. Our May release demonstrates significant improvement in math, coding, and multimodal benchmarks compared to our initial release in February. Furthermore, the 1.5 Pro Model is now stronger than 1.0 Ultra. The latest Gemini 1.5 Pro is now our most capable model for text and vision understanding tasks, surpassing 1.0 Ultra on 16 of 19 text benchmarks and 18 of 21 of the vision understanding benchmarks. The table below highlights the improvement in average benchmark performance for different categories in 1.5 Pro since Feb, and also shows the strength of the model relative to the 1.0 Pro and 1.0 Ultra models. The 1.5 Flash model also compares very well against the 1.0 Pro and 1.0 Ultra models. One clear example of this can be seen on MMLU On MMLU we find that 1.5 Pro surpasses 1.0 Ultra in the regular 5-shot setting scoring 85.9% versus 83.7%. However with additional inference compute, via majority voting on top of multiple language model samples, we can get a performance of 91.7% versus Ultra’s 90.0%, which extends the known performance ceiling of this task. @OriolVinyalsML and I are very proud of the whole Gemini team, and it’s fantastic to see this progress and to share these highlights from our Gemini Model Family. Read the updated report here: goo.gle/GeminiV1-5