"An unmatched anchor on a historic day!" — Michael Atherton on Virat Kohli🚨🗣️
"Everyone will talk about Rohit, and rightly so, but look at what Virat Kohli did out there. Chasing a mountain of 388 at Lord's, under immense pressure, he walked in and immediately took the game to the English bowlers, hitting 4 boundaries and 3 effortless sixes."
"He completely absorbed the pressure, allowing Rohit to clear his front leg and launch into the attack. Their 113-run stand was vintage pure gold. Kohli didn't just play a supporting role; he dictated the rhythm of that middle-overs recovery. Watching these two modern giants combine for their 21st century stand in their 400th game together was an absolute privilege. They remain the absolute engine room of Indian cricket."
this is actually insane
> be tech guy in australia
> adopt cancer riddled rescue dog, months to live
> not_going_to_give_you_up.mp4
> pay $3,000 to sequence her tumor DNA
> feed it to ChatGPT and AlphaFold
> zero background in biology
> identify mutated proteins, match them to drug targets
> design a custom mRNA cancer vaccine from scratch
> genomics professor is “gobsmacked” that some puppy lover did this on his own
> need ethics approval to administer it
> red tape takes longer than designing the vaccine
> 3 months, finally approved
> drive 10 hours to get rosie her first injection
> tumor halves
> coat gets glossy again
> dog is alive and happy
> professor: “if we can do this for a dog, why aren’t we rolling this out to humans?”
one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline.
we are going to cure so many diseases.
I dont think people realize how good things are going to get
Introducing Nano Banana 2, our best image model yet 🍌🍌
It uses Gemini’s understanding of the world and is powered by real-time information and images from web search. That means it can better reflect real-world conditions in high-fidelity.
Check out "Window Seat," a demo using Nano Banana 2’s world understanding to generate more accurate views from any window in the world, pulling live local weather info with 2K/4K specs. The precision is mind blowing.
Rolling out today as the new default in the @Geminiapp, Search (across 141 countries), and Flow + available in preview via @GoogleAIStudio and Vertex AI. Also available in Google @Antigravity.
yo so just to recap the week:
- google released gemini 3.1 but it disappointed tf out of people who claimed its not as good as they advertise
- BUT THEN google dropped an AI song generation model which kinda slaps (Lyria 3) AND a new feature that 1-shots product photoshoots putting photographers (and fashion models) out of a job (Google Pomelli)
- Microsoft pioneered a way to STORE DATA ON GLASS - stores data for up to 10,000 fucking years (🤯) and way cheaper than using silica.
- Taalus fused an ai model DIRECTLY into silicon processing 17,000 tokens PER SECOND which is 17X faster than openai’s quickest model but 10 TIMES CHEAPER than nvidia blackwell gpus. (smaller models tho)
- Apple is releasing 3 new AI devices: glasses, airpods with cameras and a pendant.
- anthropic wiped $10B off the stock market after launching an ai that finds and help fixes security flaws in your code. cybersecurity stocks dumped <1 hour after launch.
- BUT THEN Pentagon threatened to blacklist anthropic for failing to provide them uncensored access to claude.
- xAI dropped grok 4.20 spawning 16 specialised ai agents that work together to solve any prompt. the model self-improves EVERY WEEK.
- scientists discovered dna in meteorites suggesting humans could’ve originated from outer space (what)
- Meta dropped Manus Agents going head-to-head with OpenClaw.
- a cardiologist won 3rd-place in anthropic’s hackathon after vibe coding an app that helps his patients understand and act on their medical results. fucking hero.
- china announced a cure for diabetes 1 & 2 after creating stem cells that make insulin
- Moonshot labs is raising $500M immediately after raising $700M LAST WEEK.
- ex-Deepmind researcher raised europes LARGEST ever seed round $1B at $4B back right as europe announces $13B new fund to catch up with america.
- Stripe’s ai agents autonomously merged 1300 pull requests (up 30% from last week) suggesting top companies are now recursively improving using AI.
dear f*cking goodness GOODNIGHT
The marble veil in Giuseppe Sanmartino's Veiled Christ is so astonishingly lifelike that the artist was accused of using alchemy to turn fabric into stone.
Yann is just plain incorrect here, he’s confusing general intelligence with universal intelligence.
Brains are the most exquisite and complex phenomena we know of in the universe (so far), and they are in fact extremely general.
Obviously one can’t circumvent the no free lunch theorem so in a practical and finite system there always has to be some degree of specialisation around the target distribution that is being learnt.
But the point about generality is that in theory, in the Turing Machine sense, the architecture of such a general system is capable of learning anything computable given enough time and memory (and data), and the human brain (and AI foundation models) are approximate Turing Machines.
Finally, with regards to Yann's comments about chess players, it’s amazing that humans could have invented chess in the first place (and all the other aspects of modern civilization from science to 747s!) let alone get as brilliant at it as someone like Magnus. He may not be strictly optimal (after all he has finite memory and limited time to make a decision) but it’s incredible what he and we can do with our brains given they were evolved for hunter gathering.
Leaving Meta and PyTorch
I'm stepping down from PyTorch and leaving Meta on November 17th.
tl;dr: Didn't want to be doing PyTorch forever, seemed like the perfect time to transition right after I got back from a long leave and the project built itself around me.
Eleven years at Meta. Nearly all my professional life. Making many friends for life. Almost eight years leading PyTorch, taking it from nothing to 90%+ adoption in AI. Walking away from this was one of the hardest things I've ever done. But I'm leaving with a full heart.
PyTorch handles exascale training now. It powers foundation models that are redefining intelligence. It's in production at virtually every major AI company. It's taught in classrooms from MIT to rural India. The tools I dreamed about making accessible? They are. The barrier to entry I wanted to lower? It's almost gone.
To be clear, there’s so much more to do. As long as AI evolves at a breakneck pace, PyTorch will continue to play catch up. Obsessing over the yet-to-come sometimes makes us forget how much we’ve already done.
To everyone who built this with me—who believed research should be joyful, that tools should be elegant, that open source changes everything—thank you. This wasn't my journey. It was ours.
What's next for me? Something small. Something new. Something I don't fully understand yet. Something uncomfortable. I could have moved to something else inside Meta. But I needed to know what's out there. I needed to do something small again. I couldn't live with the counterfactual regret of never trying something outside Meta.
It's very hard to leave. I probably have one of the AI industry’s most leveraged seats, I lead the software layer that powers the entire AI industry. Every major AI company and hardware vendor are on a speed dial. This kind of power is really hard to give up. But curiosity ultimately won out in my head.
Keep making AI delicious and accessible. I'll be watching. Probably filing issues. Definitely staying involved.
Is PyTorch going to be okay?
I don't want to be doing PyTorch forever. I don't want to be like Guido or Linus— bound to a single thing for decades. Last November, coinciding with the birth of my daughter, I started planning my exit with Aparna. My goal was to leave PyTorch in a good and stable place.
By this August, during the second half of my parental leave, I knew: Edward, Suo, Alban, Greg, John, Joe and Jana were ready. The team faced hard people, product, technical and organizational problems and didn’t feel the need to lean back on me to solve these for them (unlike in the past). The product story they crafted for the PyTorch Conference was coherent—really coherent. The things I'd flagged red were turning healthy. The project didn't need me anymore. Unlike 2020-2022 (when I stepped down to go do robotics and came back when Lin, Dima and Dwarak left), I have strong confidence that this time PyTorch is truly resilient. The most aligned culture carriers of PyTorch – Greg, Alban, Ed, Jason and Joe are at the decision table now, and people with strong value alignment – Suo, John and Jana have joined them at the table. And there’s a long list of equally value-aligned people willing to sit at the table should any of these people leave. There are many little things that make up my confidence on the people – John worked on Julia and open-source for a very long time (in fact we hacked a Torch.jl in 2015), Suo has been the strongest systems builder and strategic partner I’ve had for the past two years, and Jana worked on resilient core systems for a very long time, I’ve had long technical and organizational discussions with her over the past few months that give me confidence. And the product lineup and execution in 2025 should be sufficient evidence for any remaining doubt.
I’m confident that this band of PyTorchers are going to do exceptionally well. PyTorch might change in flavor because I no longer impose my own taste from the top, but I’m confident that the values are going to stay intact and the product is going to be awesome.
My time at Meta
The early years of FAIR were absolutely magical. I was part of a small family of absolutely brilliant people building state-of-the-art AI out in the open. From working on GANs with Emily Denton, Rob Fergus, Leon Bottou, Martin Arjovsky and the (now legendary) Alec Radford to building Starcraft bots with Gabriel Synnaeve, to building the first FAIR Cluster with Howard Mansell, to working on object detection with Adam Lerer and Piotr Dollar, to building PyTorch. It was more fun than I can describe in words. 2015 and 2016 were probably the most productive and professionally enjoyable years of my life. I’ll probably romanticize this period of my life forever.
When I joined FAIR, I had massive impostor syndrome, and the first 3 months were very very difficult. I can’t credit Andrew Tulloch enough for being the most thoughtful, kind and welcoming mentor, without whom I wouldn’t have made it. I’m so damn bullish for Meta just from the fact that he’s back.
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My time on PyTorch was special.
I loved every part of building it—designing it, managing it, being the PM, TL, comms lead, doc engineer, release engineer, squashing bugs, growth hacking, turning it into a coherent product with hundreds of people, transitioning it to industry stakeholdership – the whole nine yards.
To the core PyTorch team at Meta: the engineers, researchers, open-source maintainers, docs writers, CI infrastructure folks, hardware partners, the community builders. To the hundreds more inside and outside Meta—thank you. You turned a library into a movement.
There are too many people to credit and thank, but I can't not mention Adam Paszke, Sam Gross, Greg Chanan, Joe Spisak, Alban Desmaison, Edward Yang, Richard Zou, Tongzhou Wang, Francisco Massa, Luca Antiga, Andreas Köpf, Zach DeVito, Zeming Lin, Adam Lerer, Howard Mansell and Natalia Gimelshein. And Schrep. They made the launch happen. And so many more people became centrally important later: Lu Fang, Xiaodong Wang, Junjie Bai, Nikita Shulga, Horace He, Mark Saroufim, Jason Ansel, Dmytro Dzhulgakov, Yangqing Jia, Geeta Chauhan, Will Constable, Briah Hirsh, Jane Xu, Mario Lezcano, Piotr Balecki, Yinghai Lu, Less Wright, Andrew Tulloch, Bruce Lin, Woo Kim, Helen Suk, Chris Gottbrath, Peng Wu, Joe Isaacson, Eli Uriegas, Tristan Rice, Yanan Cao, Elias Ellison, Animesh Jain, Peter Noordhuis, Tianyu Liu, Yifu Wang, Lin Qiao and hundreds more. It’s criminal of me to not take the space to list out everyone else I should be mentioning here. PyTorch is nothing without its people ❤️.
The most joyful moments of building PyTorch was meeting users eager to share their happiness, love and feedback. I remember a grad student coming to me at Neurips 2017, in a slurring emotional voice he said he’d been trying to make progress on his research for 3 years but within 3 months of using PyTorch he made so much progress that he was ready to graduate. That moment made it tangible that what we do matters, a lot, to a lot of people, even if you don't constantly hear from them. I do miss the intimacy of the PyTorch community, with a 300 person conference that felt like an extended family gathering, but I feel that’s a small price to pay considering the scale of impact PyTorch is truly having today – yes the Conference is now 3,000 people where market-moving deals get brokered, but it’s helping orders of magnitude more people to do their best AI work. I miss the intimacy, but I'm proud of that growth.
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To Mark Zuckerberg and Mike Schroepfer, who believed that open-sourcing is fundamentally important and is a sound business strategy. This is so hard to understand for most people within the course of business, but we’ve run lock-step on this strategy without ever having to discuss it. Without you two, neither FAIR nor PyTorch would’ve happened. And those mean so much to me.
To Yann LeCun and Rob Fergus, for building the magical early FAIR that I so revere.
To Aparna Ramani, a leader that I find so rare at Meta in her ability to hold a really high bar for the org, technically brilliant with the span to discuss deep infra systems and industry-strategy within the same conversation and for being an absolute execution-machine! I’ve learned so much from you.
To Santosh, Kaushik, Delia, Oldham and Ben for being so welcoming to Infra. For someone coming over from FAIR with a wildly different culture, you all made me feel at home and made me part of the family, and thank you for that.
To all my managers who've championed me through the PSC video game – Serkan, Howard, Jerome, Abhijit, Yoram, Joelle, Aparna and Damien – I owe you a lifetime of drinks.
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Signing off for now.
—Soumith
Incredible milestone: an advanced version of Gemini 2.5 Deep Think achieved gold-medal performance at the ICPC World Finals, a top global programming competition, solving an impressive 10/12 problems. Such a profound leap in abstract problem-solving - congrats to @googledeepmind!
Google Chrome was Sundar Pichai's pet project and carapulted him tonthe CEO spot. Why Chrome?
Pichai hails from Chromepet in Chennai and has a Metallurgy degree. He named it as a tribute to himself.
Now IIT Madras Computer Science boy Aravind wants to buy Chrome. He himself named his co as Perplexity in honor of his favorite dish Paruppu Usili, a Tamil delicacy.
This is the power of Chennai in calling shots in the AI age.