Image created with gemini-3.1-flash-image-preview with claude-sonnet-4-5. Image prompt: Photorealistic ice core sample standing vertically on frozen bay surface at winter dusk, translucent cylinder with visible layers containing bioluminescent data points and neural network patterns like trapped air bubbles, scientific calipers and measurement tools partially frozen into surrounding ice, sunset gradient refracting through crystalline structure from deep blue sky to golden horizon, 4K nature documentary cinematography, landscape orientation with bold sans-serif ‘Science’ title text.
An updated & faster Gemini 3 Deep Think is taking off! 🚀 Our smartest mode to date!™️ PhD-level reasoning to the most rigorous STEM challenges (models’ gotta think harder). Gold medal-level results on Physics & Chemistry Olympiads. 🧪💻 Full details: https://x.com/OriolVinyalsML/status/2021982720860233992
Anupam Pathak, a Google R&D lead in Google’s Platforms and Devices division, tested Deep Think’s ability to speed up the design of physical components. It’s proving that deep reasoning can translate directly into faster, more efficient prototyping.”” https://x.com/Google/status/2022007994897379809
At Duke University, the Wang Lab used Deep Think to optimize crystal growth for new semiconductors. Deep Think designed a recipe to grow thin films larger than 100 μm — hitting a precision target that previous methods had challenges to hit.”” https://x.com/Google/status/2022007988823973977
Gemini 3 Deep Think: AI model update designed for science https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-deep-think/
nano-banana is Gemini‑2.5‑Flash‑Image, beating Flux Kontext by 170 Elo with SOTA Consistency, Editing, and Multi-Image Fusion | AINews https://news.smol.ai/issues/25-08-26-nano-banana
The upgraded Gemini 3 DeepThink is now live! 🚀 We’re already seeing engineers and researchers leverage it as a partner in their design and development processes I love this example of Anupam Pathak using DeepThink to go from prompt to physical prototype–actually designing”” https://x.com/tulseedoshi/status/2021997867305775324
We’ve updated Gemini 3 Deep Think to better tackle the complexity of real-world research, science, and engineering. ♊ 🚀 It achieves gold-medal standards on the written portions of the Physics and Chemistry Olympiads, building on gold-level performance at IMO and ICPC and has”” https://x.com/JeffDean/status/2021989820604539250
We’ve upgraded our specialized reasoning mode Gemini 3 Deep Think to help solve modern science, research, and engineering challenges – pushing the frontier of intelligence. 🧠 Watch how the Wang Lab at Duke University is using it to design new semiconductor materials. 🧵”” https://x.com/GoogleDeepMind/status/2021981510400709092
What’s ahead for commercial experiences in 2026 https://blog.google/products/ads-commerce/digital-advertising-commerce-2026/
people sleep on last week’s open multimodal releases > GLM-OCR: sota OCR model > MiniCPM-o-4.5: Gemini 2.5-flash level Omni model that runs on your phone > InternS1: efficient generalist VLM outperforming on science tasks all allow commercial use freely 🔥”” https://x.com/mervenoyann/status/2021233480957304913
In sum, through an extensive (and costly) validation process, we have demonstrated that GPT-5 mini performs very well at recovering the ground truth data. It is clearly better than highly trained graduate students at this specific information retrieval task.”” At 1000x less cost”” https://x.com/emollick/status/2021689359309664645
I’ve tested the latest generation of all the major AIs on theoretical physics research and Claude 4.6 has absolutely blown me away with how capable it is in physics. It feels like a Claude Code moment for research is not that far off. It has a very detailed understanding of”” https://x.com/ibab/status/2019879195028123847?s=20
[2602.10177] Towards Autonomous Mathematics Research https://arxiv.org/abs/2602.10177
@GeminiApp Do people realize how crazy that thing is??”” https://x.com/LexnLin/status/2021986194780041394
Codeforces results is “”no tools””? So Gemini 3.0 Deep Think cannot write test cases to test its solution before submission? I guess even the top1 human can’t get 3455 under this condition.”” https://x.com/YouJiacheng/status/2021985843074994534
Gemini 3 Deep Think benchmarks look amazing! On Codeforces, it scored 3,455 Elo. Apparently, only 7 humans in the world have a higher coding Elo score! A friend just sent me an output about a cancer mechanism that was so great that I am now resubscribing to Ultra for DT access!”” https://x.com/DeryaTR_/status/2022030594037989493
Gemini 3 Deep Think can help make things. 🧠 Here’s our side project: We sketched a laptop stand and Deep Think coded that into an interactive prototyping tool. We used that tool to generate a STL file, which we sent to @fleet_ai. And now I have a new laptop stand! What will”” https://x.com/joshwoodward/status/2022001967795777996
Gemini 3 Deep Think is available now in the @GeminiApp for Google AI Ultra subscribers and via the Gemini API to select researchers, engineers and enterprises through our early access program. Learn more ↓”” https://x.com/Google/status/2021982018679312829
Gemini 3 Deep Think is getting a significant upgrade. We’ve refined Deep Think in close partnership with scientists and researchers to tackle tough, real-world challenges. And it’s pushing the frontier across the most challenging benchmarks, achieving an unprecedented 84.6% on”” https://x.com/sundarpichai/status/2022002445027873257
Gemini 3 Deep Think now excels across scientific domains like chemistry and physics — achieving gold medal-level results on the written sections of the 2025 International Physics and Chemistry Olympiads.”” https://x.com/Google/status/2021982010739503138
Parsing PDFs at scale with LLMs is cost prohibitive. Newer models (e.g. gemini 3) are good at reading pdfs, but you burn unnecessary vision tokens even when the page is text heavy. We’ve built in a “cost-optimizer” within LlamaParse that will dynamically route pages to”” https://x.com/jerryjliu0/status/2021267495123140760
The upgraded Deep Think mode is rolling out now in the @GeminiApp for Google AI Ultra subscribers. For scientific researchers and developers, we’re opening a Vertex AI Early Access Program for the API. Start discovering → https://x.com/GoogleDeepMind/status/2021981517791342807
There are only 7 people on the planet who can beat Gemini 3 Deep Think in coding competitions. It has an Elo of 3455. A bit over a year ago the best systems were at 2727 (o3-preview).”” https://x.com/scaling01/status/2021983388442509478
Today, we’re releasing a significant upgrade to our specialized reasoning mode, Gemini 3 Deep Think. Deep Think is built to drive practical applications, enabling researchers to interpret complex data and engineers to model physical systems through code. With the updated Deep”” https://x.com/GeminiApp/status/2021985731577852282
GPTZero finds 100 new hallucinations in NeurIPS 2025 accepted papers | Hacker News https://news.ycombinator.com/item?id=46720395
Can just a 4B model solve Olympiad-level proof problems at the level of giant proprietary LLMs? We built QED-Nano 🚀, a 4B model that we carefully post-trained for Olympiad-level proof problems, matching 30x larger models like gpt-oss-120B. We specifically used RL recipes that”” https://x.com/setlur_amrith/status/2022022298874917015
Isomorphic Labs (GDM spinoff) announces their Drug Design Engine that goes beyond AlphaFold3 and improves generalizability “”IsoDDE more than doubles the accuracy of AlphaFold 3 on a challenging protein-ligand generalisation benchmark”” “”providing a new state of the art for”” https://x.com/iScienceLuvr/status/2021172283243413897
One of the most important things we can use AI for is to improve human health. I recently spoke with @agarfinks from @FortuneMagazine on the incredible progress we’re making @IsomorphicLabs pushing the frontier of AI-powered drug discovery to make the process 10x faster & better!”” https://x.com/demishassabis/status/2021245817105867263
The drug design engine we’re building at @IsomorphicLabs is extending the SOTA further across key benchmarks, showing huge progress in accuracy and capabilities critical for in-silico drug discovery. Incredible work from @maxjaderberg and the entire team at Isomorphic Labs!”” https://x.com/demishassabis/status/2021223548744822972
The Isomorphic Labs Drug Design Engine unlocks a new frontier beyond AlphaFold – Isomorphic Labs https://www.isomorphiclabs.com/articles/the-isomorphic-labs-drug-design-engine-unlocks-a-new-frontier
Today we share a technical report demonstrating how our drug design engine achieves a step-change in accuracy for predicting biomolecular structures, more than doubling the performance of AlphaFold 3 on key benchmarks and unlocking rational drug design even for examples it has”” https://x.com/IsomorphicLabs/status/2021162400494264517
Very excited to share QED-Nano: the smallest theorem proving model to date 🤏At just 4B parameters, it matches the performance of much larger models on the challenging IMO-ProofBench benchmark and operates entirely in natural language, with no reliance on Lean or external tools.”” https://x.com/_lewtun/status/2022003874500845813
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