Image created with gemini-2.5-flash-image with claude-sonnet-4-5-20250929. Image prompt: A stately courtroom interior with Gothic stone arches and wooden paneling in the style of Lincoln’s Inn, where the judge’s bench displays scientific instruments—a brass microscope, glass beakers, and molecular models—arranged ceremonially like legal texts and gavels. Warm judicial lighting filters through tall windows, casting authoritative shadows across polished wood surfaces, suggesting science as a tribunal of evidence and truth.
(1/3) Thrilled to announce a new Gemini breakthrough! Building on our success at IMO this year, an advanced version of Gemini Deep Think achieved gold-medal level performance at the ICPC 2025 World Finals – one of the world’s leading competitive programming competitions.”” / X https://x.com/quocleix/status/1968361041487904855
(2/3) Our model solved 10 out of 12 problems to achieve gold medal level. We were able to achieve this through breakthroughs in parallel thoughts, multi-step reasoning, and novel reinforcement learning techniques. You can find Gemini’s solutions here: https://x.com/quocleix/status/1968361222849642929
An advanced version of Gemini 2.5 Deep Think has achieved gold-medal level performance at the ICPC 2025 – one of the world’s most prestigious programming contests. 🏅 Building on the model’s success in math at the IMO, this marks another historic milestone for advanced AI. 🧵 https://x.com/GoogleDeepMind/status/1968361776321323420
Incredible milestone: an advanced version of Gemini 2.5 Deep Think achieved gold-medal performance at the ICPC World Finals, a top global programming competition, solving an impressive 10/12 problems. Such a profound leap in abstract problem-solving – congrats to @googledeepmind!”” / X https://x.com/sundarpichai/status/1968365605851218328
AI has officially beaten me at the ICPC World Finals. It reminds me of a rare ICPC skill: being able to quickly read a teammate’s code and spot bugs. This skill takes years to train, and explains why AI often makes coding slower (see arXiv:2507.09089). No matter how strong AI”” / X https://x.com/ZeyuanAllenZhu/status/1968568919482089764
amazing to get all 12 problems correct!”” / X https://x.com/sama/status/1968474300026859561
ICPC is a very hard and meaningful challenge:”” / X https://x.com/gdb/status/1968415631906324792
perfect score on the 2025 ICPC programming competition from our latest reasoning system:”” / X https://x.com/gdb/status/1968404060001968429
How We Built the First AI-Generated Genomes | Arc Institute https://arcinstitute.org/news/hie-king-first-synthetic-phage
Discovering new solutions to century-old problems in fluid dynamics https://deepmind.google/discover/blog/discovering-new-solutions-to-century-old-problems-in-fluid-dynamics/
New AI Tool Pinpoints Genes, Drug Combos To Restore Health in Diseased Cells | Harvard Medical School https://hms.harvard.edu/news/new-ai-tool-pinpoints-genes-drug-combos-restore-health-diseased-cells
Interesting Muon experiment 🤓 Learning rate of Adam parameters (embeddings/gains) does not matter so much (here from 1e-4 to 1e-2). It’s more about Muon LR https://x.com/borisdayma/status/1968711933613211837
We used a new AI-powered method to discover new families of unstable “singularities” across three different fluid equations. A clear and unexpected pattern emerged: as the solutions become more unstable, one of the key properties falls very close to a straight line. This”” / X https://x.com/GoogleDeepMind/status/1968691856847638942
We’re announcing a major advance in the study of fluid dynamics with AI 💧 in a joint paper with researchers from @BrownUniversity, @nyuniversity and @Stanford. https://x.com/GoogleDeepMind/status/1968691852678173044
Learning the natural history of human disease with generative transformers | Nature https://www.nature.com/articles/s41586-025-09529-3
Paper2Agent brings research papers ‘to life.’ This open tool from @Stanford transforms static papers into interactive AI assistants that can explain and apply their methods. It builds on the MCP and works in 2 layers: – Paper2MCP: Extracts the paper’s methods and code into an https://x.com/TheTuringPost/status/1968829219858956774
