Meta’s ‘Highest-Paid’ Employee Taunts Google’s AI Model, Says ‘Gemini Who’

Meta’s rapid advancements in artificial intelligence have left Google scrambling. Alexandr Wang, Chief AI Officer and former Scale AI executive, recently took a swipe at Google’s Gemini model on X (formerly Twitter), boasting about Meta’s outperformance.

Wang joined Meta in 2025 as part of a reported $15 billion deal, and his team has since made significant strides with the Muse Spark model. This AI system excels in agentic coding tasks such as reasoning, coding, and external orchestration. Its performance in these areas is particularly notable given that Meta Superintelligence Labs, led by Wang, is still a relatively new entity within the company.

In contrast, Google’s Gemini 3.6 Flash update has been met with modest gains in coding efficiency and knowledge work, but it appears to be an incremental improvement over its predecessor. The gap between Gemini and Meta’s Muse Spark continues to grow, which may explain Wang’s confidence in taunting Google’s AI model.

Wang’s hiring by Meta sent shockwaves through the tech community due to the reported $15 billion deal that brought him on board. His background in AI development at Scale AI suggests that he was hired for his expertise, but it remains unclear whether Meta is simply leveraging its resources to play catch-up or has genuinely cracked the code on more advanced AI capabilities.

Google’s scramble to keep pace with Meta’s AI advancements is understandable given the stakes involved. However, as the AI landscape continues to evolve at an unprecedented rate, one thing becomes increasingly clear: the old rules of competition no longer apply. In this new world of rapid innovation and shifting alliances, even the biggest players can fall behind.

The implications for Google are striking. As it struggles to keep its Gemini model competitive, the company is forced to confront the reality that its lead in AI may not be as secure as once thought. Meanwhile, Meta’s aggressive push into AI has sent a clear message: the company is willing to invest heavily and take risks to stay ahead of the curve.

In the short term, Google will likely continue to pour resources into its Gemini project, hoping to bridge the gap with Meta’s Muse Spark. However, as the AI arms race accelerates, it becomes increasingly unclear which company will emerge on top – or if either will be able to sustain their momentum in the face of ever-rising competition.

The future of AI development has never been more uncertain, and companies like Meta and Google are jockeying for position. One thing is certain: the pace of innovation will only continue to quicken, leaving us all to wonder what’s just around the corner – or over the horizon.