
AI ICPC world final Gold medal 🏅. Multimodality thinking, reasoning and coding for Gemini. Core contributor of Veo. @GoogleDeepMind. PhD @mldcmu.
Joined June 2009
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It is consistent with what showed last week on codeforces ELO. Thanks for the confirmation, but it is not over yet!
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/project…
Proud to be part of the Deepthink team as we continue to push the frontiers of AI. For the first time, our model has reached a Codeforces ELO of 3455, breaking into the top 10 of the human rankings!
Replying to @GoogleDeepMind
The latest Deep Think moves beyond abstract theory to drive practical applications.
It’s state-of-the-art on ARC-AGI-2, a benchmark for frontier AI reasoning.
On Humanity’s Last Exam, it sets a new standard, tackling the hardest problems across mathematics, science, and engineering — making it a genuine collaborator for heavy-duty analysis.
It achieved an Elo of 3455 on Codeforces, demonstrating the ability to solve complex, real-world coding tasks - while earning gold medal-level results on the written portion of the 2025 Physics and Chemistry Olympiads.
In our latest work, we show autoregressive pixel modeling scales predictably, but is massively compute-hungry compared to text LLMs. But with 4-5x annual compute growth, raw pixel modeling will become feasible in ~5 years. So see you in 2030!
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 👇
Incredibly proud to be part of the team that took home Gold medal at the ICPC World Finals with Gemini! Conquering the complexity of competitive coding is a huge win, and it fuels our drive toward the ultimate challenge: Building AGI! 🚀
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/blo…
Deep Think rocks! Congrats to the amazing team! Please give it your toughest questions!
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
Adams Wei Yu retweeted
Amazing progress in reasoning! 🚀 Gemini 2.5 Pro Deep Think hitting 49.4% on USAMO – a feat I'd have considered impossible just a couple of years ago – & Gemini 2.5 Flash achieving 1424 Elo are huge leaps. So proud our team's research ideas contributed to this moment!
blog.google/technology/googl…
Adams Wei Yu retweeted
Today we’re sharing an early look at our latest Gemini update for I/O!
Introducing the updated Gemini 2.5 Pro (I/O edition), which ranks #1 on WebDev Arena and surpasses our previous 2.5 Pro model by +147 Elo points. 🏆
blog.google/products/gemini/…
Check out our strongest model Gemini 2.5! Happy to have been driving its multimodal reasoning capability and now we are also SOTA on MMMU for the first time! blog.google/technology/googl…
🥁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. 🥇
Adams Wei Yu retweeted
We’ve been thrilled by the positive reception to Gemini 2.0 Flash Thinking we discussed in December.
Today we’re sharing an experimental update (gemini-2.0-flash-thinking-exp-01-21) with improved performance on math, science, and multimodal reasoning benchmarks 📈:
• AIME: 73.3%
• GPQA: 74.2%
• MMMU: 75.4%
Gemini's deeper thinking unlocks new possibilities! Proud to be part of it and have contributed to its enhanced multimodal reasoning. Give it a try! aistudio.google.com/prompts/…
Thank you for speaking up! It is shocking to see racism occurred at @NeurIPSConf!
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.
Adams Wei Yu retweeted
Congratulations to Ilya Sutskever, Oriol Vinyals and Quoc V. Le for their paper “Sequence to Sequence Learning with Neural Networks", for winning the #NeurIPS2024 Test of Time award!
Award announcement: blog.neurips.cc/2024/11/27/a…
Read the paper: research.google/pubs/sequenc…
What a year! Seeing Gemini reach No. 1 on lmsys across the board is incredibly rewarding. Proud to be part of this amazing journey!
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! 🎊
wall? war.
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👇
Adams Wei Yu retweeted
Introducing #HaloQuest, our latest effort towards improving hallucination in multimodal foundation models! We hope that HaloQuest, as both a challenging benchmark and an open-sourced dataset, will enable the field's progress in advanced reasoning! Also glad that HaloQuest played a small part in the great news yesterday that #Gemini is now #1 on lmsys & accepted at #ECCV2024.
Project page: haloquest.github.io/
Paper: arxiv.org/abs/2407.15680
Github: github.com/google/haloquest/
Gemini has topped the leaderboard of lmsys text, vision and 20 out of the 22 subcategories! Happy to be part of the effort!
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👇
Big milestone! Congratulations to the team!!
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
Adams Wei Yu retweeted
Big news – Gemini 1.5 Flash, Pro and Advanced results are out!🔥
- Gemini 1.5 Pro/Advanced at #2, closing in on GPT-4o
- Gemini 1.5 Flash at #9, outperforming Llama-3-70b and nearly reaching GPT-4-0125 (!)
Pro is significantly stronger than its April version. Flash’s cost, capabilities, and unmatched context length make it a market game-changer!
Huge congrats to @GoogleDeepMind on the incredible
Gemini launches! Can't wait to see what new applications Gemini unlocks!
More breakdown analysis below👇





























