Joe Stanton @joe_stant
Eng @ Google DeepMind - Gemini Deployment Lead. Prev. Technical Director at @RedBadgerTeam London, UK Joined December 2010-
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Exciting to watch realtime usage metrics for our most capable model ever 📈 Melt those TPUs!
Exciting to watch realtime usage metrics for our most capable model ever 📈 Melt those TPUs!
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've been busy...
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!
Pretty proud of this one, an amazing team effort!
Massive post-training improvements, and plenty more latency reduction to come from an amazing team
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...
More goodies we've been hard at work on...
We cleared the Gemini 1.5 Pro (1M context) waitlist, and API access rollout is starting. Make those TPUs sweat! 🚀
We cleared the Gemini 1.5 Pro (1M context) waitlist, and API access rollout is starting. Make those TPUs sweat! 🚀
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!
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!

Nathan Benaich @nathanbenaich
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1K Followers 951 Following I want to make things more playful. It's fun and it makes the world a better place. Want more play in your life? Sign up for my newsletter at https://t.co/9OoUU
nader dabit @dabit3
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