Joe Stanton
@joe_stant
Eng @ Google DeepMind - Gemini Deployment Lead. Prev. Technical Director at @RedBadgerTeam
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Updated 2.5 Pro! Notable improvements in Humanity's Last Exam and Aider Polyglot (code editing)
🚀🤔 Huge effort from our world class Research, Inference & Deployment teams
We’re making 2.5 Pro even better by introducing Deep Think — an enhanced reasoning mode that uses our latest cutting-edge research in reasoning, including parallel thinking techniques. And so far we’ve seen *incredible* performance.
📈📈📈 business is booming
We are seeing a huge amount of demand for Gemini 2.5 Pro right now and are laser focused on getting higher rate limits into the hands of developers ASAP. This is the #1 priority right now, stay tuned : )
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BREAKING: Gemini 2.5 Pro is now #1 on the Arena leaderboard - the largest score jump ever (+40 pts vs Grok-3/GPT-4.5)! 🏆 Tested under codename "nebula"🌌, Gemini 2.5 Pro ranked #1🥇 across ALL categories and UNIQUELY #1 in Math, Creative Writing, Instruction Following, Longer…
📈 We've been busy...
Notable model benchmark improvements: Better performance on math, science, and multimodal reasoning benchmarks (AIME, GPQA, & MMMU)
We explored London with a little help from Project Astra. 🇬🇧 With Gemini 2.0, our early research prototype can have more natural conversations, comes with improved memory and can use @Google tools - making it more useful for everyday life. 🤝
Pretty proud of this one, an amazing team effort!
Announcing Gemini 2.0 Flash, a new multimodal agentic model (initially experimental), with our best-ever results on capabilities and benchmarks: developers.googleblog.com/en/the-next-ch…
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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…
Massive post-training improvements, and plenty more latency reduction to come from an amazing team
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,…
This was so fun to work on. For #GoogleIO visitors, come and try it live, today.
We’re sharing Project Astra: our new project focused on building a future AI assistant that can be truly helpful in everyday life. 🤝 Watch it in action, with two parts - each was captured in a single take, in real time. ↓ #GoogleIO
Today, we’re excited to introduce a new Gemini model: 1.5 Flash. ⚡ It’s a lighter weight model compared to 1.5 Pro and optimized for tasks where low latency and cost matter - like chat applications, extracting data from long documents and more. #GoogleIO
More goodies we've been hard at work on...
New @Google developer launch today: - Gemini 1.5 Pro is now available in 180+ countries via the Gemini API in public preview - Supports audio (speech) understanding capability, and a new File API to make it easy to handle files - New embedding model! developers.googleblog.com/2024/04/gemini…
We cleared the Gemini 1.5 Pro (1M context) waitlist, and API access rollout is starting. Make those TPUs sweat! 🚀
We're starting to roll out API support for Gemini 1.5 Pro for developers. We're excited to see what you build with the 1M token context window! We'll be onboarding people to the API slowly at first, and then we'll ramp it up. In the meantime, developers can try out Gemini 1.5…
Gemini 1.5 Pro - A highly capable multimodal model with a 10M token context length Today we are releasing the first demonstrations of the capabilities of the Gemini 1.5 series, with the Gemini 1.5 Pro model. One of the key differentiators of this model is its incredibly long…
The Gemini era is here. Thrilled to launch Gemini 1.0, our most capable & general AI model. Built to be natively multimodal, it can understand many types of info. Efficient & flexible, it comes in 3 sizes each best-in-class & optimized for different uses blog.google/technology/ai/…
Go on, fold yourself a protein!
Last year we presented #AlphaFold v2 which predicts 3D structures of proteins down to atomic accuracy. Today we’re proud to share the methods in @Nature w/open source code. Excited to see the research this enables. More very soon! bit.ly/alphafoldmetho… bit.ly/alphafoldgithub
Today our machine learning and distributed computing teams, along with Google Brain, are releasing Launchpad, a system for building distributed machine learning algorithms. Visit dpmd.ai/launchpad for the code, examples, and some distributed RL agents!
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In a major scientific breakthrough, the latest version of #AlphaFold has been recognised as a solution to one of biology's grand challenges - the “protein folding problem”. It was validated today at #CASP14, the biennial Critical Assessment of protein Structure Prediction (1/3)
Today we're sharing structure predictions for six proteins associated with the virus that causes COVID-19, generated by the most up-to-date version of our AlphaFold system. We hope this contributes to the research community’s understanding of the virus: deepmind.com/research/open-…