Meta's Chief AI Officer Alexandr Wang publicly challenged Google's Gemini model on X, citing a benchmark where Meta's Muse Spark 1.1 surpassed Gemini 3.6 Flash in key AI tasks. This comes as Google launched its updated Gemini 3.6 Flash, highlighting intense competition in the AI sector.
Meta's stock saw a 15% weekly gain, its best since early 2024, driven by optimism around CEO Mark Zuckerberg's AI strategy. The company announced new AI models, Muse Image and Muse Spark 1.1, aiming to compete with rivals and diversify revenue streams beyond advertising.
Meta launches Muse Spark 1.1, an AI model for agentic and coding tasks, available via public preview. This move aims to compete with OpenAI and Anthropic, offering aggressive pricing and enhanced capabilities for developers.
Meta has released Muse Image, its first AI image generator, developed by Meta Superintelligence Labs. The tool allows users to incorporate public Instagram photos by default, sparking privacy concerns. Chief AI Officer Alexandr Wang encourages personal use, like uploading own photos and tagging friends.
Meta has released Muse Image, its first AI image generator from Meta Superintelligence Labs. The tool allows users to create images using personal photos and trending content, and also integrates with Instagram and WhatsApp. However, a feature enabling the use of public Instagram photos by default has sparked privacy concerns.
Google restricted Meta's access to Gemini AI computing capacity, impacting internal projects and forcing Meta to rely more on its own Llama and Muse Spark models. This comes as Meta faces rising AI token costs and seeks to reduce dependence on rivals.
Meta's Applied AI unit, key to Mark Zuckerberg's $14.3 billion AI bet, faces revolt among its 6,500 engineers, who describe work as 'soul-crushing' amid 8,000 layoffs, surveillance backlash, and poor leadership, threatening the company's AI ambitions.
Meta's Chief AI Officer Alexandr Wang stated their open-source AI strategy is unsuitable for frontier models like Muse Spark due to bio and safety risks. The company is 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Meta's Chief AI Officer Alexandr Wang admits the company's open-source AI strategy is outdated for frontier models like Muse Spark, which was kept proprietary due to bio and safety risks.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 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.
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.
Alexandr Wang, head of Meta's SuperIntelligence Lab, attributes the lab's successful recruitment of top AI researchers not to the lucrative financial packages, but to promises of abundant compute resources, talent density, and creative freedom.
