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Inside Meta’s months-long grind to turn Muse into a hit

admin by admin
September 27, 2026
in Economy
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Inside Meta’s months-long grind to turn Muse into a hit

Just a year ago, Meta was fighting a perception problem, struggling to prove to Silicon Valley that it could keep pace in the frantic artificial intelligence arms race. Today, the company is celebrating a major victory with the launch of Muse, a personal AI assistant that has rocketed to the top of the App Store. At this week’s Connect conference, CEO Mark Zuckerberg framed the app as a triumph of his aggressive investment strategy, while AI chief Alexandr Wang described the final product as a banger. However, behind the polished presentation lies a story of intense pressure and a grueling development cycle that nearly faltered.

The path to success was far from guaranteed. Under the leadership of former GitHub CEO Nat Friedman, the project, originally codenamed Hatch, faced significant hurdles. Internal sources reveal that as late as two weeks before its official debut, the chatbot struggled with basic English fluency and failed coherence tests. Some of Meta’s own top AI experts were skeptical early on, complaining that Muse felt like an inferior version of existing chatbots burdened by unnecessary complexity. To fix these flaws, Meta mobilized tens of thousands of employees to stress test the system and refine its ability to handle real world tasks like canceling flights or scheduling meetings without accidentally revealing embarrassing details about a user’s private life.

Much of this progress can be attributed to Friedman’s relentless management style. Known internally as Nat the Truthteller for his bluntness and disdain for corporate bureaucracy, Friedman pushed his team to abandon slow internal processes in favor of speed. He leaned heavily into acqui hires to plug talent gaps, most notably bringing in David Singleton and Hugo Barra from the AI startup Dreamer. This combination of raw engineering power and strategic hiring allowed Meta to transform a clunky prototype into a tool designed for accessibility—something Wang noted was now simple enough for any grandma to use.

Despite the current euphoria and a twenty percent jump in stock price, challenges remain on the horizon. While Muse has successfully leveraged Meta’s massive existing user base to gain traction, competitors like Instinct are already thriving and OpenAI is expected to release its own rival soon. Furthermore, many employees are still grappling with low morale following a year of mass layoffs and increased surveillance within the company. For now though, Muse serves as both a financial win and a psychological boost for Meta, proving that Zuckerberg’s gamble on superintelligence is finally paying dividends.

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