Anton Tsitsulin

Gemini and Gemma, mostly pre-training (又菜又爱玩).
past (?) life: graph machine learning

[Anton Tsitsulin @graph_]

@hopes_revenge thanks hamter

[Ethan Epperly @ethanepperly]

Delighted to share that @_kreda_, Yuji Nakatsukasa, and I have written a survey paper on randomized linear algebra. We tried to fill each page with our excitement for all that our research community has accomplished. Take a look! https://t.co/owf8orOC0W

[Anton Tsitsulin @graph_]

maybe don’t name your model Belial

[Anton Tsitsulin @graph_]

Pope as an invited speaker at https://t.co/bY3WxUkIeO

[Pope Leo XIV @Pontifex]

The future of #ArtificialIntelligence is not pre-determined. As a technology developed by human beings, its future depends on the choices we make. We therefore have the responsibility to guide, change and, when necessary, reject its applications. A reliable system that serves the human person is of greater value than one that is exceptionally powerful but whose consequences cannot be adequately foreseen or controlled.

[Anton Tsitsulin @graph_]

@ptruiz_dev OAI will reach for Uranus

[Anton Tsitsulin @graph_]

@_arohan_ he's higher-order than the rest of us

[Anton Tsitsulin @graph_]

🏎️

[Google DeepMind @GoogleDeepMind]

Gemini 4 Carbon is our next frontier model.

It’s state-of-the-art across cybersecurity and long-horizon capabilities.

[Anton Tsitsulin @graph_]

@eliebakouch is this a pangram extension?

[Anton Tsitsulin @graph_]

It's happened, I am a benchmark now

[Vahab Mirrokni @mirrokni]

Today, we shared how Google’s Graph Mining and Graph Learning teams used Gemini 4 Argon with Teamwork agent in @GoogleAntigravity to solve a different class of internal engineering bottleneck: compressing months of low-level RDMA networking and custom TPU kernel development into hours. Specifically, improvements include accelerated graph algorithms with FarArray (up to 180x faster, 22x less RAM) and custom TPU kernels for Graph Neural Networks that run 8–15x faster than native JAX with massive HBM savings.

For me, this update is a full-circle experience: Graph Mining contributed deeply to Gemini Data via deduping and data curation over time, and now Gemini is giving back by scaling and improving Graph Mining library!

This is also a close collaboration amongst our Graph Mining and Teamwork teams, together with the Antigravity and Gemini teams. Congratulations!

Read the full blog: https://t.co/ymOTWRHjvP

[Anton Tsitsulin @graph_]

eth's over

[Petar Veličković @PetarV_93]

We're also hiring Student Researchers in the Frontier Computation team @GoogleDeepMind, to work with @re_rayne & @IAmTimNguyen!

Areas of interest: agentic optimisation, learning algorithms/simulations, OOD generalisation, AI4Physics, CFD, numerical math.

Applying details below!

[Anton Tsitsulin @graph_]

cc @htihle – you mentioned antigravity harness was not available to you, is it still the case?

[Anton Tsitsulin @graph_]

Benchmarks, especially long horizon ones, are so harness dependent it’s crazy

[Wenhao Chai @wenhaocha1]

Gemini 4 Argon is underrated 😱.
When auditing the traces, we found that Pi Harness just ends the run whenever it hits a fallback (e.g. for security task) in 20% of the runs. We rerun Argon with Antigravity Harness, and now it beats Astra and sits right behind Opus 5.5. Congrats to the team @GoogleDeepMind and looking forward to the new ckpt.

[Zachary Nado @zacharynado]

The Gemini Large Scale Pretrain team is hiring a Research Engineer in London or MTV! The team works across the pretrain stack: research codebases, distributed training infra, data pipelines, tooling for training dynamics analysis, and most importantly using Gemini to accelerate our work! 🚀

If you're an engineer who has a strong "whatever it takes" attitude and is not afraid of spending tokens, apply here with some showcase work: https://t.co/Xlw9f4NYlP

No particular qualifications needed, and we welcome early career applicants. Join if you want me to bug you with refactors to enable [new AGI compute multiplier]! 👀

[Viacheslav Borovitskiy @vabor112]

My group at the University of Edinburgh is recruiting #PhD students for 2027! 🎓

We are GLUEd: Geometric Learning & Uncertainty in Edinburgh.

Group: https://t.co/ljXHQQJr8J
How to apply: https://t.co/87Uz4eOApH

1/2

[Anton Tsitsulin @graph_]

unfortunately Boston 10 is a New York 7

[Anton Tsitsulin @graph_]

Show me what you got, Boston

[Anton Tsitsulin @graph_]

@htihle @david_saint_ @scaling01 yes, and it’s a much more comfortable harness for the model!

[Anton Tsitsulin @graph_]

@simonbatzner @AnthropicAI Congrats! 😢

[Anton Tsitsulin @graph_]

@tolgab0 Congrats! Pre-train looks very strong:)