Google's Gemini delay exposes a deeper problem: employee frustration

Internal morale problems at Google DeepMind are contributing to delayed artificial intelligence model releases, per Axios reporting based on conversations with current and former employees. The company's most advanced model, Gemini three point five Pro, is months behind schedule, while Google's free cash flow turned negative this week—the company is on track to spend one hundred ninety billion dollars on AI investments this year. Several top researchers have departed for competitors, including Nobel Prize winner John Jumper and influential researcher Noam Shazeer. Employees told Axios they're experiencing burnout from Google's April military contract and frustration about falling behind rivals on model capabilities, though Google disputes that morale issues are affecting model development, saying its AI talent attrition is actually lower than last year. As competing AI labs continue trading leads in what appears to be a constant leapfrog, Google faces a challenge it can absorb financially but not strategically: keeping its talent and investors' faith intact.

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