At 19:21 UTC on 2026-10-24, Tibo (@thsottiaux), whose X bio reads "Codex & ChatGPT @OpenAI", posted: "DM if you want to help scale dots to 1B users and have done similar things in the past" (post); it had about 5,524 likes, 1,506 replies and 710K views when we pulled it. Alexandr Wang (@alexandr_wang), whose X bio says he is chief AI officer at Meta, replied "oops you misspelled muse" (about 1,935 likes), and Tibo shot back with "Celebrate your 12 users" (about 1,845 likes). The public back-and-forth between the two companies' executives became one of the most talked-about AI threads of the past half day. It is a hiring post and banter between executives, not a user count or product plan published by OpenAI.
Key Takeaways
- ✓Main post: Tibo's post, about 5,524 likes, 126 reposts, 131 quotes, 1,506 replies, 515 bookmarks and 710K views when we pulled it
- ✓Alexandr Wang replied "oops you misspelled muse" (post), about 1,935 likes and 240K views; Muse is the Meta model and product name he has been promoting lately
- ✓Tibo fired back: "Step 1: Quit posting butts and go buy containers / Step 2: ??? / Step 3: Celebrate your 12 users" (post), about 1,845 likes and 185K views
- ✓Wang answered "is the implication you have under 12 users?" (post), about 222 likes
- ✓"1B users" is a goal stated in a hiring post; OpenAI has not published Dots' actual user count, so this entry is treated as an X discussion
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Background and the problem
Dots is the always-on agent product OpenAI launched inside ChatGPT, and we have covered its ties to Codex several times. This round of discussion started with a hiring post: at 19:21 UTC on 10-24, Tibo (@thsottiaux), whose X bio reads "Codex & ChatGPT @OpenAI", posted "DM if you want to help scale dots to 1B users and have done similar things in the past" (post). The post is short, but the "1B users" goal made it spread fast.
How it works
The post gives no technical detail. Read literally, OpenAI is looking for engineers with very large-scale systems experience to grow Dots, and in a later reply Tibo mentioned "go buy containers", hinting that container infrastructure for always-on agents is one of the keys to scaling. That is an inference from the wording only; OpenAI has not published Dots' architecture or user numbers.
Benchmarks and measured results
This is an X discussion with no benchmark involved. The numbers we can check are engagement: Tibo's main post had about 5,524 likes, 1,506 replies and 710K views; Alexandr Wang, whose X bio says he is Meta's chief AI officer, replied "oops you misspelled muse" (post) with about 1,935 likes; Tibo's comeback "Celebrate your 12 users" (post) had about 1,845 likes; and Wang's "is the implication you have under 12 users?" (post) about 222 likes. Both sides are joking, and "12 users" is not real data for either company.
What developers can do now
The exchange reflects head-on competition between OpenAI and Meta in consumer agent products: OpenAI is betting on Dots, while Wang has been promoting Muse lately. For developers, the things to watch are how much compute and container capacity always-on agents need, and which APIs or integrations each company opens up next. If you have large-scale systems experience and care about this area, Tibo's post is a public hiring call.
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