Three weeks in the past, an engineer named Calvin French-Owen, who labored on one among OpenAI’s most promising new merchandise, resigned from the corporate.
He simply revealed an enchanting weblog put up on what it was prefer to work there for a 12 months, together with the sleepless dash to construct Codex. That’s OpenAI’s new coding agent that competes with instruments like Cursor and Anthropic’s Claude Code.
French-Owen mentioned he didn’t depart due to any “drama,” however as a result of he desires to get again to being a startup founder. He was a co-founder of buyer knowledge startup Section, which was purchased by Twilio in 2020 for $3.2 billion.
A few of what he revealed in regards to the OpenAI tradition would shock nobody, however different observations fight some misconceptions in regards to the firm. (He couldn’t be instantly reached for remark.)
Quick progress: OpenAI grew from 1,000 to three,000 folks within the 12 months he was there, he wrote.
The LLM mannequin maker actually has causes for such hiring. It’s the fastest-growing client product ever, and its rivals are additionally rising quick. In March, it mentioned that ChatGPT had over 500 million energetic customers and climbing rapidly.
Chaos: “Every thing breaks if you scale that rapidly: learn how to talk as an organization, the reporting constructions, learn how to ship product, learn how to handle and set up folks, the hiring processes, and so forth.,” French-Owen wrote.
Techcrunch occasion
San Francisco
|
October 27-29, 2025
Like a small startup, folks there are nonetheless empowered to behave on their concepts with little to no purple tape. However that additionally implies that a number of groups are duplicating efforts. “I have to’ve seen half a dozen libraries for issues like queue administration or agent loops,” he provided as examples.
Coding ability varies, too, from seasoned Google engineers who write code that may deal with a billion customers, to newly minted PhDs who don’t. This, coupled with the versatile Python language, implies that the central code repository, aka “the back-end monolith,” is “a little bit of a dumping floor,” he described.
Stuff ceaselessly breaks or can take extreme time to run. However high engineering managers are conscious of this and are engaged on enhancements, he wrote.
“Launching spirit”: OpenAI doesn’t appear to know but that it’s an enormous firm, proper all the way down to operating totally on Slack. It feels very very like move-fast-and-break-things Meta in its early Fb years, he noticed. The corporate can also be filled with hires from Meta.
French-Owen described how his senior staff of round eight engineers, 4 researchers, two designers, two go-to-market employees, and a product supervisor constructed and launched Codex in solely seven weeks, begin to end, with nearly no sleep.
However launching it was magic. Simply by turning it on, they obtained customers. “I’ve by no means seen a product get a lot rapid uptick simply from showing in a left-hand sidebar, however that’s the ability of ChatGPT.”
Secretive fishbowl: ChatGPT is a extremely scrutinized firm. This led to a tradition of secrecy in an try to clamp down on leaks to the general public. On the identical time, the corporate watches X. If a put up goes viral there, OpenAI will see it and, presumably, reply to it. “A buddy of mine joked, ‘this firm runs on twitter vibes,’” he wrote.
Greatest false impression: French-Owen implied that the largest false impression about OpenAI is that it isn’t as involved about security accurately. Definitely loads of AI security people, together with former OpenAI staff, have criticized its processes.
Whereas there are doomsayers worrying about theoretic dangers to humanity, internally there’s extra give attention to sensible security like “hate speech, abuse, manipulating political biases, crafting bio-weapons, self-harm, immediate injection,” he wrote.
OpenAI isn’t ignoring the long-term potential impacts, he wrote. There are researchers taking a look at them, and it’s conscious that a whole lot of hundreds of thousands of persons are utilizing its LLMs at present for all the things from medical recommendation to remedy.
Governments are watching. Opponents are watching (and OpenAI is watching rivals in return). “The stakes really feel actually excessive.”
