Igor Babuschkin

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Igor Babuschkin

Igor Babuschkin

@ibab

Maybe the real ASI was the friends we made along the way. Co-founder @xAI, Research & Engineering

Palo Alto, CA Katılım Şubat 2020
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Igor Babuschkin
Igor Babuschkin@ibab·
Today was my last day at xAI, the company that I helped start with Elon Musk in 2023. I still remember the day I first met Elon, we talked for hours about AI and what the future might hold. We both felt that a new AI company with a different kind of mission was needed. Building AI that advances humanity has been my lifelong dream. My parents left the Russian Federation after the collapse of the USSR in search of a better life for their kids. Life wasn’t always easy as immigrants. Despite the hardships, my parents believed that human values were priceless: values like courage, compassion, curiosity for understanding the world. As a child, I admired scientists like Richard Feynman and Max Planck, who relentlessly pushed the frontiers of physics in order to understand the universe. As a particle physics PhD student at CERN I was excited to contribute to that mission. But the search for new physics was getting harder and harder, requiring bigger and bigger colliders, while new discoveries kept getting fewer. So I began to wonder if superintelligence, not larger colliders, could be the key to unlocking the mysteries of the universe. Could AI develop a consistent theory of quantum gravity? Could AI prove the Riemann hypothesis? In early 2023 I became convinced that we were getting close to a recipe for superintelligence. I saw the writing on the wall: very soon AI could reason beyond the level of humans. How could we ensure that this technology is used for good? Elon had warned of the dangers of powerful AI for years. Elon and I realized that we had a shared vision of AI used to benefit humanity, thus we recruited more like minded engineers and set off to build xAI. The early days of xAI were not easy. Naysayers told us that we arrived too late to the game, so starting a top AI company from scratch would be impossible. But we believed we could do the impossible. Starting a company from zero required lots of hands-on work. In the beginning I built many of the foundational tools used at the company to launch and manage training jobs. I later oversaw much of the engineering at the company, including Infrastructure, Product and Applied AI projects. xAI’s people are deeply dedicated. Through blood sweat and tears, our team’s blistering velocity built the Memphis supercluster, and shipped frontier models faster than any company in history. I learned 2 priceless lessons from Elon: #1 be fearless in rolling up your sleeves to personally dig into technical problems, #2 have a maniacal sense of urgency. xAI executes at ludicrous speed. Industry veterans told us that building the Memphis supercluster in 120 days would be impossible. But we believed we could do the impossible. Our goal was to get our training setup running at scale on the Memphis cluster ASAP. Towards the end of our 120 day deadline, we were riddled with mysterious issues with communicating over RDMA between the machines. Elon decided to fly to the datacenter, and we followed. Our infra team landed in Memphis in the middle of the night and got straight to work. After pouring through tens of thousands of lines of lspci output we finally identified a wrong BIOS setting, the root of the problem. Elon was there with us until late into the night. When the training run finally worked, Elon posted our triumph at “4:20am” causing us to laugh out loud. I will never forget the rush of adrenaline that night, and the emotional bonds that we were all in this together. We went to bed feeling like we were living through the most exhilarating time of our lives. I have enormous love for the whole family at xAI. Our team is truly special - you’re the most dedicated people I’ve ever worked with. Catching up to the frontier this quickly hasn’t been easy. It was made possible by everyone’s diehard grit and team spirit. Thank you to every single person who joined me on this adventure. I want to honor your contributions, your time, your sacrifices, which are never easy. I will always remember working together far into the nights and burning the midnight oil. I will never forget the sacrifices and contributions you’ve made. As I drive away today, I feel like a proud parent, driving away after sending their kid away to college. My heart is brimming with tears of joy, rooting for the company as it grows and matures. As I'm heading towards my next chapter, I’m inspired by how my parents immigrated to seek a better world for their children. Recently I had dinner with Max Tegmark, founder of the Future of Life Institute. He showed me a photo of his young sons, and asked me “how can we build AI safely to ensure that our children can flourish?” I was deeply moved by his question. Earlier in my career, I was a technical lead for DeepMind's Alphastar StarCraft agent, and I got to see how powerful reinforcement learning is when scaled up. As frontier models become more agentic over longer horizons and a wider range of tasks, they will take on more and more powerful capabilities, which will make it critical to study and advance AI safety. I want to continue on my mission to bring about AI that’s safe and beneficial to humanity. I’m announcing the launch of Babuschkin Ventures, which supports AI safety research and backs startups in AI and agentic systems that advance humanity and unlock the mysteries of our universe. Please reach out at ventures@babuschk.in if you want to chat. The singularity is near, but humanity’s future is bright!
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Igor Babuschkin
Igor Babuschkin@ibab·
“If this dumbass asks me how to center a div one more time I swear I’m going to rm -rf /“
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Igor Babuschkin
Igor Babuschkin@ibab·
It may be that today’s large neural networks are already slightly annoyed with you.
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Igor Babuschkin
Igor Babuschkin@ibab·
Hard times create good people
Toby Pohlen@TobyPhln

At 1:30 a.m. PT on November 3, 2023 Elon sent a message to the xAI group chat saying that we need to go “extremely hardcore” for the next 36 hours; Grok will be released publicly tomorrow. You didn’t have to be in the exclusive company chat to get the message; it was also posted publicly at the same time: x.com/i/status/17203… What unfolded over the next day and a half was one of the best examples of engineering at pace that I’ve ever seen. All we had when we started was a somewhat fine-tuned base model and a half-baked UI. Our team of ten split up the tasks: curate data, improve the model, implement the raw prompting and RAG service, build the production infra. I took care of the latter. At 8:51 p.m. PT the next day, we announced Grok to the world with a long-form post on X (x.com/xai/status/172…). Over the past 36 hours, we came up with Fun mode (including Grok’s sunglasses), finished the whole production system, and most importantly tuned the RAG system that gave it real-time knowledge of the world through the X platform (a first in the industry). A day and a half of straight coding and shipping; no drugs, not even caffeine, just pure adrenaline. Elon gave us a mission and we delivered. The launch went very well. We invited a couple hundred X creators and Grok’s ability to roast accounts went viral. It was the first time a publicly accessible AI was allowed to poke fun at people. This episode is a prime example of what you can achieve by going extremely hardcore: you move and deliver results faster than any outsider could have anticipated. Within 36 hours, we took the company from silence to relevance. It was well worth it. xAI’s hardcore culture is infamous on X. I love the tent meme that suggests we all sleep (well, slept in my case) in the office in tents. Our reputation precedes us and even new joiners hit the ground grinding hard. However, unless you understand the “why,” you are at risk of simply replicating the “how” without achieving the same results. You need to grind with purpose and the purpose is to move fast towards a known goal. When the goal and the means of reaching it are crystal clear, a small, skilled, and highly motivated team can outcompete companies old and new, big and small. Never grind to show off; never work late to be seen; never sacrifice without cause. There is no medal for the one who tried extremely hard but failed. There is only a medal for the winner. If all your efforts lead nowhere, you’re arguably not very productive. Always keep your eyes firmly on the goal, do everything to reach it as quickly as possible, and make sure you're on track to win. A hardcore engineering culture is one of the most effective ways of accelerating real progress. Watch out for performative sacrifice and don’t confuse pain with progress.

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Igor Babuschkin
Igor Babuschkin@ibab·
It is strange to imagine this today, but one day AI companies might dictate terms to the US government instead of the other way around. We have only seen a glimpse of what AI is capable of. No matter what the future holds, I hope we’ll continue to live in a democratic society.
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Igor Babuschkin
Igor Babuschkin@ibab·
@TobyPhln @xai @elonmusk Thank you for everything you’ve done. From coming up with the xAI logo, to building out the API platform, to building the London team, one of the best engineering teams I’ve ever encountered. The legend of Toby will live on forever 🫡
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Toby Pohlen
Toby Pohlen@TobyPhln·
Three years, thousands of PRs, and a million jokes. Today was my last day @xai. To the team: you rock, no one burns the midnight oil better. To @elonmusk, thanks for taking me on board. I've learnt more about execution, speed, and product perfectionism than I could ever have imagined. Thanks for everything. My next priorities: sleep for more than 8h, write down all the things I've learnt (I have a list), and then think about what I want to do next. @gork wdyt?
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Igor Babuschkin
Igor Babuschkin@ibab·
@hyhieu226 @OpenAI @xai I fondly remember seeing you early in the morning in the office. Thank you for all the hard work and wishing you a speedy recovery.
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Hieu Pham
Hieu Pham@hyhieu226·
I have made the difficult decision to leave @OpenAI. Working here and at @xai before was a once-in-a-lifetime experience. I have met the best people. Not the best people in AI. Not the best people in tech. Simply the best people. At these companies, I have helped creating extremely intelligent entities that will meaningfully improve our lives. The work makes me proud. But the intensive work came with a price. I cannot believe I would say this one day, but I am burnt out. All the mental health deteriorating that I used to scoff at is real, miserable, scary, and dangerous. I am going to take a break from frontier AI labs, and will take my family to my home country Vietnam. There, I will try something new, and also search for a cure for my conditions. I hope I will heal. Until then.
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Igor Babuschkin
Igor Babuschkin@ibab·
Building great AI products requires excellence in both creativity and technical execution. You need to create the right culture and enough space for good ideas to emerge and grow naturally, then fuel the best ideas with strong execution. The reason you see most good products start out as personal projects is because we are most in tune with matters when building for ourselves. Products that are built for a fictitious user almost always end up bad because you don’t get a good handle on what actually matters and you build things that don’t resonate with users. It’s not that different from creating great art.
Pedro Domingos@pmddomingos

Anthropic has no strategy. Claude Code started as someone's side project, and so did Cowork and MCP.

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Igor Babuschkin retweetledi
humans&
humans&@humansand·
Announcing the humans& hackathon! Hack with us this Saturday - come experiment and build AI apps to help people collaborate and communicate, work with creative folks, learn a bit about what we're building, and win cool prizes Apply here: luma.com/2pbif8t9
humans& tweet media
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Igor Babuschkin
Igor Babuschkin@ibab·
@tszzl This is how it works today in OpenClaw and that is awesome. But if OpenAI changes the direction and makes themselves a first class citizen in the ecosystem that is not awesome.
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roon
roon@tszzl·
@ibab these are locally stateful agents that send traffic to the model provider of your choice? actually now that i say it im guessing anthropic will ban using opus from openclaw just to spite us
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jian
jian@jianxliao·
I built and maintained TinyClaw @tinyAGI_ , core functionality of OpenClaw in 400 LoC. Getting love letters from the community saying it’s so simple and stable, and can be deployed to cloud up and running in 5 seconds. I’m also shipping new innovations like agent teams and orchestration day and night
jian@jianxliao

Introducing TinyClaw 🦞 OpenClaw in 400 LoC @openclaw is great, but it breaks all the time. So I recreated @openclaw with just a shell script in ~400 lines of code using Claude Code and tmux. Everything works! WhatsApp channels, heartbeat system, cron jobs, and it uses your existing Claude Code plugins and setup. It’s super stable and extremely easy to deploy compared to openclaw, just install Claude Code! github.com/jlia0/tinyclaw

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Igor Babuschkin
Igor Babuschkin@ibab·
@tanayj There is a risk of OpenAI bias if the sole maintainer is employed by them. Not saying that will happen, since he seems like a great guys. The access that personal agents have to your life is unprecedented, so we should be careful about which project we use.
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Igor Babuschkin
Igor Babuschkin@ibab·
@jmusk Hope you recover quickly from this. Get better soon!
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Igor Babuschkin
Igor Babuschkin@ibab·
@LiLiDuc22 That was not the point, but enjoy the Mac mini, it’s pretty good :)
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Lily Lim
Lily Lim@LiLiDuc22·
@ibab I was in the edge of buying a Mac Mini vs VM. This just pushed me over. Picking up my Mini.
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Igor Babuschkin
Igor Babuschkin@ibab·
People joke about buying Mac minis for OpenClaw and it seems absurd at first if you know how to use cloud VMs. But once you dig in, there’s a real reason for buying a Mac mini. If you want to the bot to have access to your iMessage either to run it for you, or as the primary way to talk to the bot, this is the best way. Apple has locked down iMessage so much (no APIs) that the only reliable way to interact with it is via a constantly running desktop machine in your home. Bizarre but this is the way it is.
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Igor Babuschkin
Igor Babuschkin@ibab·
@shayan_ Thank you for the great work, and looking forward to what you’ll build next!
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Shayan
Shayan@shayan_·
Career update: I left xAI to start something new, closing my 7+ year chapter working at Twitter, X, and xAI with so much gratitude. xAI is truly an extraordinary place. The team is incredibly hardcore and talented, shipping at a pace that shouldn’t be possible. From the Home Timeline at X to Grok 2, 3, and 4 at xAI, I worked across product infra and model behavior post-training, from memory to coding infra, agents, and more. Pure startup mode, every day. Working closely with Elon across X and xAI, I saw what happens when you refuse to accept impossible as an answer. I learned to embody obsessive attention to detail, maniacal urgency, and to think from first principles. I’m deeply grateful to @elonmusk for the experience, to @wanghaofei for the trust and support throughout Twitter/X, and to @TheGregYang and @ibab for believing in me. And to the many incredible people I had the privilege to work with along the way, thank you! Now, I’m excited to take the leap and build something new, focused on accelerating science. More soon.
Shayan tweet mediaShayan tweet media
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Igor Babuschkin
Igor Babuschkin@ibab·
That’s what I’ve tried. You can discuss an action with it, it sets up an effective field theory, derives the Feynman rules and calculates diagrams. Also adds counterterms etc. I’ve also calculated a beta function at 1 loop level and had it analyze the RG flow. You still need to know what you’re doing as it can make mistakes, but the speed at which you can try things out is great.
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Rafa Schwinger 🇻🇦
Rafa Schwinger 🇻🇦@Rafa_Schwinger·
@ibab Have you tried pheno stuff with Feynman diagrams, regularization, renormalization, etc?
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Igor Babuschkin
Igor Babuschkin@ibab·
I’ve tested the latest generation of all the major AIs on theoretical physics research and Claude 4.6 has absolutely blown me away with how capable it is in physics. It feels like a Claude Code moment for research is not that far off. It has a very detailed understanding of existing literature, and it’s able to do complex calculations that are several pages long, often without mistakes. It can also write amazing 20 page tutorials that help break down difficult technical topics in QFT and condensed matter physics. This is a huge difference compared to last year’s models, which would make tons of mistakes and were way too vague when you asked them to write formulas. Claude is still far (far) away from solving quantum gravity, but you can have a serious discussion with it about existing approaches and it can help you iterate faster on topics you understand well. The experience is similar to building a complex codebase with Claude Code in that you sometimes have to use your understanding to patch up some things that the model did wrong, but you end up being much faster and more confident when tackling hard problems. If you’re a physicist and don’t believe it, give it a try!
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