Gemini Omni @GoogleDeepMind PhD @Oxford_VGG. Past: Senior RS @Qualcomm AI Research, @UMich, @iitbombay All opinions are mine.

United Kingdom
Gemini Omni Flash is officially out! 🚀 It has been incredible working on the model pretraining, landing cool features in video editing, and pushing the 3D/camera capabilities in Omni. Seeing it live at #GoogleIO is surreal. 😍😇 Took countless days of no to little sleep. But sometimes it takes a little crazy to make something truly amazing. ✨✨✨ Go try it out! deepmind.google/models/gemin… #googleemployee @GeminiApp @GoogleDeepMind #gemini #omni
Made with AI
9
3
42
8,131
is this supposed to be impressive lol
it's here (finally) 🌑
4
388
ICLR submissions this year are a total shitshow 🙃
2
2
41
3,793
Yash Bhalgat retweeted
Just watched the @netflix Instadocs about the @OpenAI cyberattack on @huggingface. Super disappointing, as they went for maximum anthropomorphism of the technology and full doomer mode. I spent more than two hours with them trying to correct all their mistakes and ground this in reality, explaining that agents are technological systems, not aliens. But it looks like the drive to scare people for maximum views was too strong. Also, they didn’t mention the lack of containment and monitoring of the agents, how closed-model safeguards blocked our defensive work, or how we defended ourselves with AI using an open model. And that we still lack a lot of information and transparency, including full agent traces and that companies need to remain accountable for what their agents do. It ends up being a fun sci-fi movie though!
247
342
2,312
190,791
I like how casually the OP just mentions an incredible tool that they have built 😂🫡
Replying to @younghyo_park
[8/n] By the way, for the simulation folks wondering how we simulated tight-clearance parts: the usual tools didn't work for us. SDF was so slow and hard to tune. Off-the-shelf convex decomposition like V-HACD or CoACD filled the clearance, so parts that should fit jam. So we built mjfit. It decomposes common assembly parts (pegs and holes of any outline, threads, and gears) into convex pieces that keep the clearance exactly as designed, and it runs an order of magnitude faster than SDF. It's open source: github.com/younghyopark/mjfi…
25
3,898
this is so cool! 😍
earshot v0.3 is out! added: - a library of 201 sounds, all made with code - earshot kit can create a whole sound kit - earshot sfx times a sound to the exact frame (improved) plus earshot is now used in cinetic (skill for creating motion design) will continue improving it!
1
181
I am so proud of myself today, and grateful. 😊💪🙏
1
25
1,522
Yash Bhalgat retweeted
Gemini 4 Argon is amazing for knowledge work and coding - and it’s super fun to build with! We asked it to create this wizard chess game and it's so cool to see Argon's physics understanding & 3D modelling capabilities, makes me nostalgic for Battlechess on the Amiga - fun times! Argon is rolling out today to Google Ultra and Pro subscribers in the @GeminiApp and Search, and Ultra subscribers in @antigravity! More info & full availability in the blog: blog.google/innovation-and-a…
385
527
5,214
510,508
Yash Bhalgat retweeted
Gemini 4 Argon is here. It’s available globally today for developers and enterprises in the paid tier of the Gemini API and the Gemini platform, for Ultra subscribers in Google Antigravity, and Ultra and Pro subscribers in the Gemini app and Search. Hope you all enjoy it!
1,542
2,477
28,455
5,962,649
mathematics would be solved by yesterday
imagine ramanujan with food and a claude max 20 plan
3
421
Yash Bhalgat retweeted
Quasi-RH?!?!???! Are you kidding me? If a human did this, it would be an instant Fields Medal, no questions asked. RH says zeta has no zeros in Re(s)>1/2. The best we had until a second ago was a region that got thinner and thinner the higher up the imaginary axis you go. I thought maybe they’d fatten that up a bit, that’d be a massive breakthrough. But no. They got a zero free strip!!!! Insane
We’re releasing a broad range of new mathematical results produced by an internal frontier model. We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results. github.com/openai/math
227
985
9,894
1,291,363
"I helped a man climb a mountain and found that I, too, had reached the top." just found this quote somewhere. hit me straight in the heart
5
370
bruh wtf is this 😭
Replying to @TheDailyShow
jigglemuse.com/ he's not plotting anything, just jiggling
2
2
537
FYI this is John Urschel he's a former NFL player, and currently an assistant professor of Mathematics at @MIT
John Urschel just showed that the growth factor for Gaussian elimination with partial pivoting is ~n^{1/2} with high probability, resolving a long-standing conjecture of Nick Trefethen! arxiv.org/abs/2610.06785
5
29
1,007
56,757
cc @JohnCUrschel (didn't realise he's already on X)
1
3
1,908
Yash Bhalgat retweeted
Suppose you have n integers, and you want to decide whether some three of them sum to zero. It's not hard to solve this problem in O(n^2) time (think how to do it, the dumbest algorithm takes O(n^3) time!) and for a long time it was thought that getting time O(n^{1.999999}) is not possible. This hardness assumption was shown to imply many other interesting hardness results. Not anymore! Claude obtained the O(n^{1.9992}) time algorithm together with a Lean proof, and the algorithm was checked and digested by Josh Alman and Virginia Williams who are leading experts in fine-grained hardness, so my a priori estimate that it's 99.99%-likely to be correct. My mind is just absolutely blown! It's crazy that in such simple to state problems progress is still possible after decades of many smart people thinking hard about them.
13
67
846
102,348
The 3-person rule for Nobel doesn't make sense at all.
Tough day to be Ed Boyden. Another casualty of the academic hierarchy. Obviously Karl and Ed worked together, but it's pretty clear that the idea was Ed's. He came up with it 5 years before the Nature Neuroscience paper was eventually published! "... in May 2000 I e-mailed the opsin pioneer Janos Lanyi, asking for a clone of the N. pharaonis halorhodopsin, for the purpose of actively controlling neurons with optogenetics. Janos kindly asked his collaborator Richard Needleman to send it to me. But the reality of graduate school was setting in: unfortunately, I had already left Stanford for the summer to take a neuroscience class at the Marine Biology Laboratory in Woods Hole. I asked Richard to send the clone to Karl." Karl wanted to try a magnetic bead-based stimulation system, but Ed realised that optogenetics could be the way after Nagel et al. published their 2003 PNAS paper. Ed was the one to propose the idea to Karl. Karl, being higher up the hierarchy than Ed, was the one to then email Nagel asking for the constructs. Karl then optimised the expression of the constructs, but it was Ed who did the actual experiment showing optogenetics in neurons for the first time: "Late at night, around 1 a.m. on August 4, 2004, I went into the lab, put a dish of cultured neurons expressing ChR2 into the microscope, patch-clamped a glowing neuron, and triggered the program that I had written to pulse blue light at the neurons. To my amazement, the very first neuron I patched fired precise action potentials in response to optogenetic stimulation with blue light." Karl did a lot of the work pushing it to in vivo imaging, but what is the prize actually for? In my opinion, the prizes should go to actual discoverers: people who conceive of ideas. This one could have gone to four people (at least), but if I had to drop one person, I'd probably drop Nagel and give it to Deisseroth, Boyden, and Hegemann. Hegemann had the radical hypothesis that a channel was directly gated by light—Nagel only got involved because Hegemann contacted him to use his tools/methods. But yeah when the Nobel committee are weighing up a corresponding author (Deisseroth) and a PhD student first-author (Boyden), they're obviously going to go with the senior author. Sad!
10
1,455
Yash Bhalgat retweeted
Introducing Griffin, the first model to pass the video Turing test. 48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video. It’s the first Human Interaction Model (HIM).
Community note
The 48% figure and "video Turing test" claim are from Tavus's own study of 54 one-minute calls, not independently verified or using a standard protocol. Griffin-Lite leads NVIDIA's VideoFDB benchmark on their public leaderboard. cellcog.ai/blog/tavus-gri… research.nvidia.com/labs/amri/proj… tech-ish.com/2026/10/02/tav…
3,440
4,283
39,210
21,181,943
we are so back 🙂 Argon is a really strong coding model -- I've been using it day in day out internally. it's pretty good at very long horizon tasks, tool calling, general agent loops etc etc as well :)
Introducing Gemini 4 Argon – our new frontier model. It’s built for complex workflows across coding, enterprise knowledge work, and cybersecurity defense – rolling out today to a set of trusted testers through our Fairwind Program.
3
2
33
1,584
Yash Bhalgat retweeted
Replying to @verge
those aren't secrets you dummies those are the files on the user's VM, this is intended behavior
65
74
2,850
195,421