AI can generate. It cannot discern. The engineers who built systems before AI existed carry something no model can replicate — the instinct to know when something is fundamentally wrong.
We spent decades building the internet. Now AI is trying to rebuild it in months. The engineers who lived through the first wave aren’t obsolete. They’re the only ones who know what we almost broke the first time.
I’m joining OpenAI Codex to work on the future of agentic development!
At Cursor, I got to see the shift from autocomplete to agents. The next step isn’t a better IDE. It’s an Agent Development Environment (ADE): systems and tools for orchestrating agents, reasoning over their outputs, and making them autonomous enough to reliably complete ambitious work.
After chatting with @embirico and @thsottiaux, it was clear that Codex is the best place to realize this vision. The team has consistently shipped SOTA models for agentic coding (check out gpt-5.3-codex) and I’m pumped for the future that the new Codex App points to.
What I’m most excited about is the broader mission: accelerating the knowledge work economy. All agents are coding agents, and we’re already seeing Codex used across every job function within organizations.
I’m extremely grateful for my time at Cursor, working with the incredible team, and I’m proud of what we built together. I’m excited to take an even bigger swing with Codex.
If you’re curious to get a glimpse of where we are headed, download the Codex App! If you want to work on this mission, please apply or reach out - we are hiring across all functions!
You can just build things.
Yesterday @sama just offered to invest $2M of OAI credits into any current YC company as an uncapped SAFE.
If I was in YC today, here is why I would take the deal:
1. You will spend that much $ on tokens building your product quicker than you think.
The best AI-leveraged engineers are spending ~$10k+ per month on tokens. Thats $1.2M/year for a 10 person engineering team. The OAI deal means you don’t have to think twice about accelerating your engineering.
2. OAI tokens are worth 2X Anthropic tokens.
Our frontier models are ~50% more token efficient than Ant’s. This means our $2M in GPT tokens is worth $4M in work accomplished with Opus.
3. You can use the tokens on the API.
This means you can offer agentic products to customers without worrying about price or charging while you find PMF. Any product you offer that is useful with agents will use a non-trivial amount of tokens. Worrying about those costs while finding PMF doesn’t seem worth it.
4. The dilution will be minimal if you find PMF as an AI-native product and raise a Series A.
A lot of series A’s I see these days are in the $100-$200M valuation range. $2M at that valuation is 1-2% dilution, which is very worth it if it allowed you to defer raising as much in your seed in order to pay for tokens.
Would be curious how folks are thinking about it! Definitely an interesting offer to consider 👀
@dmytroomelian@TheRohanVarma I uploaded as a PDF and because I got a few responses back. I know that they read the résumé and it’s a mom made it into a Recruiter inbox and on the screen. You probably can do some passing because I saw it fill up the contact feels correctly.
@___Patrice___@TheRohanVarma Yes, I’m not sure if it does make it correctly or not but I am basically created a PDF and uploaded it. It did the basic passing of my contact info, but I don’t know if it actually will do the search correctly on this PDF.
@pwealthydad@TheRohanVarma Good one! Yes, I had trouble uploading, I converted to PDF - it maintained the format 100% and when I uploaded in linkedin it needed to compress it under 2MB, however on websites, it took the original file. I think it also parsed contact info and basic info into fields. Very cool
This is my mom experiencing the magic of Imagegen 2.0 for the first time in ChatGPT to refresh her resume.
She is a legendary recruiter in tech, especially during the 2000s and 2010s, and is looking to get back to work for a cool AI company after a few years off (@recruitingdiva).
But she felt the resume she made a couple years ago wasn’t good because it was too long and wasn’t matching the specifics of the roles she was applying for.
I showed her how to use imagegen in Chat to make a new resume on a single page that communicates how compelling her experience is (that was literally the prompt). She then linked the job descriptions she’s applying for and asked it to make specific resumes for each role.
So cool to see one of the ways imagegen can help people :) Everyone should be doing this??
@TheRohanVarma Ha ha omg, you captured my excitement and Codex made my resume look so sharp! Btw @TheRohanVarma I heard about this post from an investor/CEO friend yesterday - thanks @anshublog
My heart is full of love and excitement, most of it imbibed from everyone in India cheering for our win.
So grateful to the visionary filmmaker @EarthSpectrum and to @netflix who gave us the biggest stage in the world. This is for my beautiful, diverse country, India. #Oscar
I want to extend a heartfelt apology to our clients and their employees who did not get paid today. You rely on us, and we didn’t deliver. Although payroll is in flight, I know delays of any length have a real impact, particularly for anyone living paycheck to paycheck.