Arvind Neelakantan

Gemini 3.1 Pro has landed! Amazing performance / capabilities across the board. Beyond SOTA, the best are all the things that evals can't measure. E.g. SVG has gotten so much better (see 🧵) blog.google/innovation-and…

@OriolVinyalsML yaaay! 😀

Personal update: After an amazing 10 years in London, it's time for a major change. One-way ticket back to California 🌞! I'm incredibly excited to return to the Bay Area to continue building Gemini and pushing us toward the age of AGI 🚀

The secret behind Gemini 3? Simple: Improving pre-training & post-training 🤯 Pre-training: Contra the popular belief that scaling is over—which we discussed in our NeurIPS '25 talk with @ilyasut and @quocleix—the team delivered a drastic jump. The delta between 2.5 and 3.0 is as big as we've ever seen. No walls in sight! Post-training: Still a total greenfield. There's lots of room for algorithmic progress and improvement, and 3.0 hasn't been an exception, thanks to our stellar team. Congratulations to the whole team 💙💙💙

@agihippo Good but hard to not have @DBahdanau

Top 3 AI researchers of all time (in no order) 1. Ilya 2. Noam shazeer 3. Alec Radford Wdyt?

Today we are rolling out our first Gemini Embedding model, which ranks #1 on the MTEB leaderboard, as a generally available stable model. It is priced at $0.15 per million tokens and ready for at scale production use!

The struggle with being an amazing researcher is that you don't have time to do politics and sometimes you get marginalized as a result. But the world self corrects right?

amazing multimodality performance (& more) !! storage.googleapis.com/deepmind-media…

TPU -> XLA -> JAX -> Transformer, MoE, Chinchilla, AlphaGo, .... -> Gemini, Veo, .... -> Search, YouTube, Waymo, ... -> Chrome, Android, .... 🤯🤯🤯

@melvinjohnsonp @Google @GoogleDeepMind thank you, Melvin! look forward to working with you as well :)

@arvind_io @Google @GoogleDeepMind Welcome back Aravind! Looking forward to working with you. :)

thrilled to be back @Google in the @GoogleDeepMind team! The technical breadth and expertise across the whole stack (hardware->infra->deep learning->products) is truly mind-blowing. Great to see a lot of familiar faces and meet new friends. Look forward to learning a lot!

@quocleix @Google @GoogleDeepMind thank you, Quoc! it was a great chat, felt like I never left :)

@arvind_io @Google @GoogleDeepMind Welcome back Arvind. Glad to see you the other day!

@JeffDean @Google @GoogleDeepMind thank you, Jeff! so happy to be back :)

@arvind_io @Google @GoogleDeepMind Welcome back, @arvind_io! 🎉

@YiTayML @Google @GoogleDeepMind thank you!

@arvind_io @Google @GoogleDeepMind Welcome!!

@sharan0909 @AIatMeta @OpenAI yes!!!

@arvind_io @AIatMeta @OpenAI Welcome to meta! Great to work together again :)

Excited to join @AIatMeta! The past 4.5 years at @OpenAI,working on embeddings, GPT-3 & 4,API and ChatGPT, have been career highlights. Now, I'm thrilled to work on the next generations of Llama and contribute to its impact on the developer ecosystem and billions of users!🚀 1/2

look forward to working with @manohar_paluri, @Ahmad_Al_Dahle, @edunov and many others in the excellent @AIatMeta team! 2/2

Announcing a new generation of embedding models: • text-embedding-3-small: 5x cheaper and stronger performance compared to the previous generation • text-embedding-3-large: our best performing model, creating embeddings with up to 3072 dimensions openai.com/blog/new-embed…

@ZhuyunDai @OpenAI 11 beir datasets used in the embeddings v1 paper: arxiv.org/abs/2201.10005

@arvind_io @OpenAI Very cool! Curious: what is the "retrieval performance"? It seems different from MTEB.

@OpenAI embeddings api over time

@WilliamWangNLP Thanks for having me, I had a fun time visiting @ucsbNLP !

A packed room for @arvind_io ‘s talk on Embeddings and Retrieval-Augmented Generation at UCSB!