Sharad Vikram (@sharadvikram) 's Twitter Profile
Sharad Vikram

@sharadvikram

Researcher @ Google Deepmind. I work on JAX + Pallas (github.com/google/jax) and Gemini. In the past I worked on Oryx and TFP. I like learning.

ID: 755521218

linkhttp://sharadvikram.com calendar_today13-08-2012 17:31:00

299 Tweet

1,1K Followers

561 Following

Logan Kilpatrick (@officiallogank) 's Twitter Profile Photo

Native image generation with Gemini 2.0 Flash is now available to all developers via an experimental release in the Gemini API and Google AI Studio!! The chat based image editing and creation is so much fun to play with 🧵

Sundar Pichai (@sundarpichai) 's Twitter Profile Photo

1/ Gemini 2.5 is here, and it’s our most intelligent AI model ever. Our first 2.5 model, Gemini 2.5 Pro Experimental is a state-of-the-art thinking model, leading in a wide range of benchmarks – with impressive improvements in enhanced reasoning and coding and now #1 on

lmarena.ai (formerly lmsys.org) (@lmarena_ai) 's Twitter Profile Photo

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

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
Google Gemini App (@geminiapp) 's Twitter Profile Photo

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

Mislav Balunović (@mbalunovic) 's Twitter Profile Photo

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.

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.
Kiran Vodrahalli (kiranvodrahalli@mathstodon.xyz) (@kiranvodrahalli) 's Twitter Profile Photo

Check out twitch.tv/gemini_plays_p…, 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!

Google Gemini App (@geminiapp) 's Twitter Profile Photo

📣 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

📣 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
lmarena.ai (formerly lmsys.org) (@lmarena_ai) 's Twitter Profile Photo

⚡ The latest Gemini 2.5 Flash has arrived on the leaderboard! Ranked jointly at #2 and matching top models such as GPT 4.5 Preview & Grok-3! Highlights: 🏆 tied #1 in Hard Prompts, Coding, and Longer Query 💠 Top 4 across all categories 💵 5-10x cheaper than Gemini-2.5-Pro

⚡ The latest Gemini 2.5 Flash has arrived on the leaderboard! Ranked jointly at #2 and matching top models such as GPT 4.5 Preview & Grok-3! Highlights:

🏆 tied #1 in Hard Prompts, Coding, and Longer Query
💠 Top 4 across all categories
💵 5-10x cheaper than Gemini-2.5-Pro
Google DeepMind (@googledeepmind) 's Twitter Profile Photo

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 → ai.dev

Vlad Feinberg (@feinbergvlad) 's Twitter Profile Photo

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 Sebastian Borgeaud JB Alayrac Jacob Austin . Content in thread

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 <a href="/borgeaud_s/">Sebastian Borgeaud</a> <a href="/jalayrac/">JB Alayrac</a> <a href="/jacobaustin132/">Jacob Austin</a> .

Content in thread
Sundar Pichai (@sundarpichai) 's Twitter Profile Photo

What a finish! Gemini 2.5 Pro just completed Pokémon Blue!  Special thanks to Joel Z for creating and running the livestream, and to everyone who cheered Gem on along the way.

lmarena.ai (formerly lmsys.org) (@lmarena_ai) 's Twitter Profile Photo

🚨Breaking: Google DeepMind’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

🚨Breaking: <a href="/GoogleDeepMind/">Google DeepMind</a>’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
Sharad Vikram (@sharadvikram) 's Twitter Profile Photo

Check out the latest Blackwell features for Pallas on MGPU!! Adam and the team have pulled off some amazing language/library design + performance engineering!

Adam Paszke (@apaszke) 's Twitter Profile Photo

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: docs.jax.dev/en/latest/pall…

Anthropic (@anthropicai) 's Twitter Profile Photo

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.