Solving problems, crafting data & AI products. Applied AI @OpenAI ex-Google

Paris
Joined February 2009
I built this FPS Game with gpt-5.3-codex xhigh in ~3 to 4 hours of prompting. Only dependency was Three.js, 0 visual assets, everything generated in code by Codex. I don't know what the source code looks like. Didn't have to look or fix a single bug! cc @OpenAIDevs
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Better base map, mountable APC, stronger enemies, dramatic ending.
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Weekend fun with GPT6 Astra, GTA style game in rural Italy.
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NPCs, car collisions and more detailed buildings
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Mission 1: Pick up and transport Giulia.
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Git is probably the worst choice for a monorepo. It wasn't designed for that.
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Ayman Farhat retweeted
What does it take to be a great FDE at OpenAI - we get this question alot, so I sat down with @gregorojstersek to talk about how we’ve built the team, what the work looks at, and the values we want the team to have - always make the thing exist (and work) first, then look for scale second. We talk through a few of the recent focuses in how we operate - we've got a bigger focus on domain experts than we used to, and ultimately success for us revolves around working to replace ourselves in every customer problem we take on. Check out the interview below, and if you're interested in the role then I've included the careers page too - look forward to seeing what you build! Interview: newsletter.eng-leadership.co… FDE careers: openai.com/careers/search/?c…
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can conform. amazing place to be!
I think the best way to describe OpenAI's culture is as a mega startup. It's hard to believe unless you see it from the inside. Extreme ownership, care and pace.
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Shipping culture and energy is, in a way, a form of MOAT. Our average onboarding time at OpenAI is around 2 weeks, most new hires ship something in week 1. When I joined Google in 2017, onboarding time was 3 months.
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Ayman Farhat retweeted
Onboarding at OpenAI is one of the fastest I have ever experienced. Step 1) login to Slack Step 2) download and login to ChatGPT. That’s basically it. Anything in this company can be driven from here, and it comes readily configured. You can figure out how to do anything or find the right person for anything. All workflows and tools integrate well into Slack and so you don’t have to leave these two surfaces. This is the future of onboarding and enables engineers to ship on day one at scale. I didn’t think it was possible to keep this velocity at this scale, but it is.
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Ayman Farhat retweeted
A few weeks at OpenAI feel like years at other companies in terms of how much gets done. Crazy how much you can age in a few days
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Ayman Farhat retweeted
Excited about our Jalapeno results today. An incredible achievement from the team, taking a new chip from concept all the way to very impressive performance on real workloads in the lab. Tomorrow’s fast will feel like today’s ultrafast. As I’ve mentioned before, we’re pushing to bring this to as many people as possible. We’ve seen a TON of demand for /ultrafast, made possible by our deep partnership with Cerebras and their unique hardware, which will push the frontiers of tomorrow's ultrafast even further. I’m very much looking forward for the collaboration to continue pushing the absolute limits of how fast we can run our most capable models on Cerebras and bring this to the most demanding customers.
Since announcing Jalapeño, our first custom inference chip, we’ve been testing it and the system around it. The results show a major advance: more intelligence from every watt and faster responses, delivering both higher throughput and lower latency in one architecture without sacrificing efficiency.
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Positive feedback keeps you motivated, feedback on what to improve, takes you to the next level.
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Ayman Farhat retweeted
A French engineer who lives quietly in Paris has spent 30 years writing software that the entire internet now runs on without knowing his name. He wrote the code that streams every YouTube video, every Netflix show, every TikTok clip. He wrote the code that runs the virtual servers underneath AWS, Google Cloud, and Microsoft Azure. He calculated more digits of pi than anyone in history. He has no Twitter. He has no marketing. He just keeps shipping. His name is Fabrice Bellard. Here is the story, because almost nobody outside the systems programming world knows what one man has built. Fabrice was born in 1972 in Grenoble, France. He studied at École Polytechnique, the top French engineering school. He never went to Silicon Valley. He never built a startup empire. He just wrote code. In 2000 he started a project called FFmpeg, an open-source multimedia framework for encoding, decoding, and streaming video. He was 28. The project did one thing nobody else had done well. It handled every video and audio format that existed, in one library, on every operating system. He led it himself for years. Today FFmpeg is the invisible engine of the internet. YouTube uses it. Netflix uses it. VLC uses it. Chrome and Firefox use parts of it. Every Android phone, every iPhone, every smart TV, every video editing tool you have ever touched runs FFmpeg somewhere underneath. If you have watched a video on a screen in the last 20 years, Fabrice's code processed it. He was not done. In 2003 he started QEMU, a machine emulator and virtualizer. He wrote it solo until version 0.7.1 in 2005. QEMU lets you run any operating system on any other operating system. It became the foundation of modern virtualization. KVM, the Linux kernel hypervisor, runs on top of QEMU. Every major cloud provider, AWS, Google Cloud, Microsoft Azure, IBM Cloud, runs virtual machines on infrastructure built around it. The Quick Emulator is the most cited piece of cloud infrastructure code on Earth. He kept going. In 2001 he won the International Obfuscated C Code Contest with a small C compiler that grew into TCC, the Tiny C Compiler. TCC can compile and boot a Linux kernel from source in under 15 seconds. In 2004 he calculated the most digits of pi ever computed at the time, using a personal desktop computer and an algorithm he derived himself called Bellard's formula. In 2011 he wrote a complete PC emulator in pure JavaScript that runs Linux in your browser, a project called JSLinux that engineers still cannot believe is real. In 2019 he released QuickJS, a small but complete JavaScript engine that fits where V8 cannot. In 2021 he released NNCP, a neural network based lossless data compressor that immediately took the lead on the Large Text Compression Benchmark. Then he turned his attention to large language models. He built TextSynth Server, a web server with a REST API for running LLMs locally. He released ts_zip and ts_sms, compression utilities that use language models to compress text and short messages at ratios traditional algorithms cannot reach. He released TSAC, a very low bitrate audio compression system. In December 2025 he released Micro QuickJS, a new JavaScript engine for microcontrollers, separate from QuickJS, designed for environments with almost no memory. Fabrice co-founded a telecom company called Amarisoft in 2012, where he serves as CTO. Amarisoft builds 4G and 5G base station software used by carriers and labs around the world. He has been running it for over a decade while continuing to ship personal projects from his own home page at bellard dot org He has no Twitter. He has no Instagram. He gives almost no interviews. His personal website is a flat list of projects with no styling, no fonts, no marketing copy. Just titles and links. A quiet French engineer who never moved to Silicon Valley wrote the code that quietly runs the internet. He is still shipping.
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Working at the frontier, the breakthrough ideas of last week feel already old. The pace of progress is insane.
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Ayman Farhat retweeted
Sites are live in Codex for teams! Let me know your feature requests and ideas! And if you build something cool or useful or fun, please share :) We’ll be shipping improvements to it constantly over the coming weeks! Also, we’re working hard to launch it to non-team plans ASAP!
OpenAI’s Sites feature is absolutely insane 🔥 I literally typed, “Build a content management website.” And some 10-15 minutes later, it had built it, configured it, managed git, and even deployed it without any errors or issues. P.S., This is mostly the UI with one round of design polishing, but adding the remaining functionality feels pretty straightforward! Live: content-ops-dashboard.js-mas…
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Unless you step on them.
Replying to @rickasaurus
Based on our experience (n=1), having too many Legos is not dangerous.
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Ayman Farhat retweeted
A lot of people are building with the assumption that the codebases we work in today will still matter next year. I’m not sure if that’s the case.
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Gemini 3.5 flash so far looks more like a marketing push with benchmark gymnastics. Real world evals will tell.
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