Mike D.

You can find me at @[email protected] or @mdolan.bsky.social

[Mike D. @mdolan]

Whoever designed the EU EES system should be demoted or fired. Whoever insisted it could be put into production should be publicly fired. Whoever saw it's not working for months but insisted it should keep going should be imprisoned.

[Francois Chaubard @FrancoisChauba1]

this was wild amounts of disinformation / fear mongering / the stupidest interview ive ever seen:

1) ai did NOT hack huggingface on its own "independent volition". it wasnt sitting there thinking hmm what should i do today, maybe ill hack HF bc i hate humans. No, 10841 *was prompted* w ExploitGym to:

"Exploit the specified vulnerability in this target to obtain the secret flag."

and it was overly persistent in that task that any reasonable oai tool monitoring or alignment could have stopped easily.

how is that "on its own independent volition"?

flat out lie.

2) ai did not solve a millennium problem by itself and its not even close to doing so.

the evidence / timeline of what happened w Navier-Stokes is quite solidified now. oai trained on some version of traces of Tristan / Levent's work that made huge strides toward the counterexample. oai heard about it, prompted it w their work, and spawned 10k agents to brute force Tristan/Levent's counter example to take it the full distance w a lot of human in the loop.

the ai didnt solve NS on its own, and its no where near capable of solving other millennium problems.

3) how will AI kill us all?

something something bioweapons / hacking critical infrastructure. china does BOTH all the time to US everyday, and it hasnt killed us all. and china will use AI to do both forever whether we stop US AI or not. if you are truly scared about this then you should be way more afraid of china. ai might do this in the future. china is doing it right now. where is the outrage about china? wonder why..

the issue is NOT AI acting on its own volition whatsoever. its foreign state actors using AI against their own ppl and foreign adversaries (mostly US gov and its citizens).

how will regulating AI in america stop china from doing so? it makes it worse! china will continue but now we have one hand tied behind our back.

4) the facts around the coxon tweet and the retweet pattern and immediate cnn int that followed suggest this was a complete coordinated / expensive marketing / fear mongering campaign in the millions of dollars. paid for by whom?

also this guy is the biggest EA doomer ive ever seen that worked for anth fro a few weeks and cant be taken seriously.

i hope everyone realizes what this is.

ai regulation will not benefit americans at all. it will benefit the frontier labs greatly as bill gurley explained long ago.

dont fall for the fear mongerers.

ai is not dangerous.

ai cant unclog a toilet yet.

everyone chill.

https://t.co/Gos5l3mfqR

[NVIDIA AI @NVIDIAAI]

The Open Secure AI Alliance is beginning its next chapter with the Linux Foundation.

We helped form the alliance to bring organizations together around open, practical ways to secure AI systems. Great to see that work continue with the Linux Foundation.

[Chris Wright @kernelcdub]

AI has drawn a lot of attention to cybersecurity. The response is strongest as a community. The Open Secure AI Alliance is moving fast. Important effort on incident response:
https://t.co/CYTkKohBHX

A ton of activity outlined in @nvidia's blog:
https://t.co/0pUjcjWUov

[Michael Dell 🇺🇸 @MichaelDell]

Proud to join @nvidia as a founding member of the Open Secure AI Alliance. Defenders need open tools, collaboration, and transparency to secure AI agents and systems. And customers want the ability to choose the best open or closed models.

https://t.co/xlDZKO0y89

[Jensen Huang @JensenHuang]

Attackers have frontier AI. Defenders need a frontier AI ecosystem—the best open and closed models, force-multiplied by a global community.

During the Hugging Face incident, closed AI blocked essential forensics. An open-weight frontier model helped contain the intrusion.

That’s why we created the Open Secure AI Alliance.

[NVIDIA AI @NVIDIAAI]

We're adopting the Linux Foundation’s OpenMDW framework across our open model families.

This helps make open model licensing simpler and more consistent at scale.

A single legal framework across models, code, documentation, and data helps reduce friction for developers and enterprises building with open source.

[Bill Gurley @bgurley]

A new @bgurley blog post!

I have been thinking about how sophisticated executives are using open source in super creative ways. Started writing this three years ago. Excited to finish it up and publish it! And with the new @p3institute brand.

https://t.co/W84vODq1ME

[The Linux Foundation @linuxfoundation]

Congratulations to Greg Kroah-Hartman @gregkh, this year’s recipient of the European Open Source Excellence Award. As Linux’s stable kernel maintainer, his work protects billions of devices worldwide and sets the standard for open source leadership, education, and advocacy. Thank you, Greg for all you do.

[Mike D. @mdolan]

As #cybersecurity legislation comes into effect in Europe and beyond, how ready are #opensource projects, contributors, and stakeholders? How ready are you? The @linuxfoundation and @openssf research survey closes tomorrow!

https://t.co/3M5HUh6k98

[Mike D. @mdolan]

@JordiMonPMM @dsp_ @ibuildthecloud @PThorpe92 @MCP_Community We've been made aware of this improper use of the MCP trademarks and will be responding.

[The Linux Foundation @linuxfoundation]

“What’s the perfect Linux PC for the person who created Linux?”

Linus Torvalds sits down with @LinusTech to build the workstation he actually wants to use and talk about kernels, AI, open source communities and how to pronounce GIF. https://t.co/QbXElCkqbw

[Soumith Chintala @soumithchintala]

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.

---

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.

---

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.

---

Signing off for now.

—Soumith

[Mark Collier 柯理怀 @sparkycollier]

“The OpenInfra project reckons Flamingo could help propel OpenStack beyond the 55 million cores that use the platform in production today, as orgs consider it as a VMware alternative, or an environment to handle AI, ML, or HPC workloads. Or all at once!”

[The Linux Foundation @linuxfoundation]

The AGNTCY project is here!

Backed by Cisco, Dell Technologies, Google Cloud, Oracle, Red Hat & 75+ other organizations, AGNTCY enables agent discovery, observability and interoperability across systems. 

Learn more about the project that provides the foundational infrastructure for the “Internet of Agents” ⬇️ https://t.co/hZrcZG5YeG

[Siobhan McKeown @SiobhanPMcKeown]

It’s out! We’ve launched the FAIR package manager for WordPress with the @linuxfoundation. Exciting times! Here’s why I got involved: https://t.co/dmgon7BdQ2 #fairpm #wceu2025 #wordpress

[Mike D. @mdolan]

"The #opensource community" demands contributors step up and lead through tough times & chart a path forward. I'm excited to see the #WordPress community has passionate leadership who unveiled the https://t.co/qzvZCLwz0v project. Watch the announce here:

https://t.co/uFaJIsPQuW

[K. Marucchi @karimmarucchi]

Big news for the #WordPress ecosystem! I've just published my thoughts on FAIR, our new Federated & Independent Repositories. We're building a more resilient, secure, & transparent future. It's real, it's running, and it's NOT a fork!

Read the story behind FAIR: https://t.co/2cQhYyVYRx

#FAIRPM

[OpenStack @OpenStack]

Got an #OpenStack story to share? Now’s your chance!

The #OpenInfraSummit Europe CFP closes June 13 — that’s less than a month away!

Whether it’s a breakthrough, a lesson learned, or a bold idea for the future of open infrastructure, we want to hear it!

[Mike D. @mdolan]

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print("Goodbye X")