Meta has re-entered the AI race with its Muse Spark model after a $14.3B investment, but faces skepticism from developers and Wall Street. CEO Mark Zuckerberg must now prove the company can monetize its AI tools beyond advertising.
Meta's Chief AI Officer Alexandr Wang revealed that the company's open-source AI strategy is no longer suitable for frontier models like Muse Spark, which was kept proprietary due to bio and safety risks. Rival labs face similar issues as models scale. Meta is also exploring subscription models for its platforms and AI chatbot to diversify revenue beyond advertising.
Meta's Chief AI Officer Alexandr Wang admits the company's open-source AI strategy is outdated for frontier models like Muse Spark, which was kept proprietary due to bio and safety risks. Meta is exploring subscription models for its platforms and AI chatbot to diversify revenue beyond advertising.
Meta's developer tools for its new AI model, Muse Spark, are facing delays, with no concrete schedule set for release. This postponement raises concerns about Meta's monetization plans for the closed-source model, which aims to compete with leading AI models.
A year after Alexandr Wang took charge of Meta's AI, the company released Muse Spark, its most credible AI model yet. Despite internal criticism and challenges, Wang has assembled a strong team and reshaped AI operations, aiming to compete with rivals like OpenAI and Google.
Meta is pivoting its AI strategy with the launch of the closed-source 'Muse Spark' model. Investors are looking for evidence that the model can compete with industry leaders and drive growth beyond Meta's core advertising business during upcoming Q1 earnings.
