Sharad Vikram
@sharadvikram
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Researcher @ Google Deepmind. I work on JAX + Pallas (https://t.co/RFFkc1tMwi) and Gemini. In the past I worked on Oryx and TFP. I like learning.
San Francisco
Joined August 2012
Built with JAX!
Introducing Gemini 1.0, our most capable and general AI model yet. Built natively to be multimodal, it’s the first step in our Gemini-era of models. Gemini is optimized in three sizes - Ultra, Pro, and Nano Gemini Ultra’s performance exceeds current state-of-the-art results on
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We’ve pushed out the Pareto frontier of efficiency vs. intelligence again. With Gemini 3 Flash ⚡️, we are seeing reasoning capabilities previously reserved for our largest models, now running at Flash-level latency. This opens up entirely new categories of near real-time
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Starlink Mini offers fast, reliable internet on the go—great for traveling, camping, exploring, boating, RVing, and more. Stay connected without dead zones or slow speeds. Order online in under 2 minutes.
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This is the first time we've hooked reasoning up to an image generation model. The model now generates images inside the thinking trace, analyzes them, and once it's happy, will present the images to the user. Self-correction doesn't always happen automatically, but you can nudge
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Today we're launching a major upgrade to the image generation capabilities of our Gemini 3 model. Gemini 3 Pro Image can generate an incredible array of realistic imagery, complex visuals, infographics and more. Here are some examples: Show me a chart of the solar system and
We just dropped Nano Banana Pro, built on Gemini 3. 🍌 With state-of-the-art text rendering, vast world knowledge and studio-quality creative controls, Gemini 3 Pro Image can create and edit more complex visuals, infographics and more. Here’s what’s under the hood. 🧵
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Our first release is Gemini 3 Pro, which is rolling out globally starting today. It significantly outperforms 2.5 Pro across the board: 🥇 Tops LMArena and WebDev @arena leaderboards 🧠 PhD-level reasoning on Humanity’s Last Exam 📋 Leads long-horizon planning on Vending-Bench 2
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Today, we announced that we plan to expand our use of Google TPUs, securing approximately one million TPUs and more than a gigawatt of capacity in 2026.
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Want to improve GPU compute/comms overlap? We just published a new short tutorial for you! A few small changes to the Pallas:MGPU matmul kernel is all it takes to turn it into an all-gather collective matmul that overlaps NVLINK comms with local compute:
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Check out the latest Blackwell features for Pallas on MGPU!! Adam and the team have pulled off some amazing language/library design + performance engineering!
Curious how to write SOTA performance Blackwell matmul kernels using MGPU? We just published a short step-by-step tutorial: https://t.co/XRVX34juEz At each step, we show exactly what (small) changes are necessary to refine the kernel and the final kernel is just under 150 lines.
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wow, look at that Elo jump! 🚀🍌
🚨🍌Breaking News: Gemini-2.5-Flash-Image-Preview (“nano-banana”) by @GoogleDeepMind now ranks #1 in Image Edit Arena. In just two weeks: 🟡“nano-banana” has driven over 5 million community votes in the Arena 🟡Record-breaking 2.5M+ votes casted for this model alone 🟡It has
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🚨Breaking: @GoogleDeepMind’s latest Gemini-2.5-Pro is now ranked #1 across all LMArena leaderboards 🏆 Highlights: - #1 in all text arenas (Coding, Style Control, Creative Writing, etc) - #1 on the Vision leaderboard with a ~70 pts lead! - #1 on WebDev Arena, surpassing Claude
We’re releasing an updated Gemini 2.5 Pro (I/O edition) to make it even better at coding. 🚀 You can build richer web apps, games, simulations and more - all with one prompt. In @GeminiApp, here's how it transformed images of nature into code to represent unique patterns 🌱
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What a finish! Gemini 2.5 Pro just completed Pokémon Blue!  Special thanks to @TheCodeOfJoel for creating and running the livestream, and to everyone who cheered Gem on along the way.
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Recently had the pleasure of lecturing back at Princeton in a grad seminar. I took the opportunity to cover how scaling laws have evolved since their inception, leaning heavily on great external content from my colleagues @borgeaud_s @jalayrac @jacobaustin132 . Content in thread
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Gemini 2.5 Flash just dropped. ⚡ As a hybrid reasoning model, you can control how much it ‘thinks’ depending on your 💰 - making it ideal for tasks like building chat apps, extracting data and more. Try an early version in @Google AI Studio → https://t.co/iZJNqQmooH
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(2/2) I also visualized the speed of Gemini’s progress through the game - it hasn’t even been two weeks since the stream started!
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📣 Deep Research is now powered by Gemini 2.5 Pro, our most intelligent AI model. ✨ This upgraded Deep Research is now even better at: 🔍 Finding & synthesizing information 📊 Providing more insightful reports 🧠 Analytical reasoning Gemini Advanced users can access the new
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Check out https://t.co/KwUpAkBxKS, Gemini 2.5 Pro is on the verge of finishing execution of a long-term plan: 1. Visited Rock Tunnel after getting 3rd badge; 2. Attempted Rock Tunnel without HM05 Flash; 3. Filled up dex to acquire HM05 Flash; 4. Caught Pikachu to teach Flash!
twitch.tv
Gemini 3 PRO vs FLASH Plays Pokémon Crystal | !askgem [!faq !harness] !badges
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Big update to our MathArena USAMO evaluation: Gemini 2.5 Pro, which was released *the same day* as our benchmark, is the first model to achieve non-trivial amount of points (24.4%). The speed of progress is really mind-blowing.
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Gemini 2.5 Pro is taking off 🚀🚀🚀 The team is sprinting, TPUs are running hot, and we want to get our most intelligent model into more people’s hands asap. Which is why we decided to roll out Gemini 2.5 Pro (experimental) to all Gemini users, beginning today. Try it at no
gemini.google.com
Meet Gemini, Google’s AI assistant. Get help with writing, planning, brainstorming, and more. Experience the power of generative AI.
📣 Today, we’re introducing Gemini 2.5, our most intelligent AI model. An experimental version of Gemini 2.5 Pro is available now in the Gemini app for Gemini Advanced users: https://t.co/973tlgjcKq Let’s get into this update ⬇️🧵
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