Muse Couldn't Speak English Two Weeks Before Launch. It Hit Number One Anyway. The Timing Is Embarrassing.

Meta's personal AI assistant Muse rocketed to the top of the App Store despite, and I cannot stress this enough, struggling to produce coherent English as recently as two weeks before its September launch. Nat Friedman was brought in alongside new hires to salvage the project, and AI chief Alexandr Wang, who is 29 and spent the week posting risqué memes of the Muse mascot, called the app a banger at Meta's Connect conference. The relief when Muse finally started scoring well on coherence tests was, apparently, immense.

What this illustrates is the principle of last-minute convergence in large model training. The mechanism is that language models often appear catastrophically broken until very late in the training cycle, then coherence emerges rapidly as the model's parameters align. The lesson for you is that shipping dates and model quality are decoupled in modern AI development. Teams launch on schedule and pray the model crosses the coherence threshold in time. Sometimes, as here, the prayer is answered.

Meta, under CEO Mark Zuckerberg's massive AI spending, with Nat Friedman and AI chief Alexandr Wang leading the charge. Muse became an App Store hit and the centerpiece of Meta's Connect conference. Wang is 29. I mention that because it is relevant to the mascot meme situation.