Hold onto your hats, because the AI race just got a whole lot more interesting. Meta, the tech giant behind Facebook and Instagram, has quietly unleashed its first batch of cutting-edge AI models, developed by its secretive Superintelligence Labs team. But here's where it gets controversial: after facing criticism for its underwhelming Llama 4 model, can Meta really compete with the likes of Google and other AI powerhouses? And this is the part most people miss: the company's CTO, Andrew Bosworth, hints that these new models are just the tip of the iceberg, with consumer-ready AI products set to hit the market in the next two years. At a recent press briefing in Davos, Bosworth revealed that the team, formed just last year, has already produced 'very good' models, despite being only six months into their work. This is a bold move for Meta, which has been on a hiring spree, poaching top AI talent with lucrative offers to bolster its position in the highly competitive AI landscape. The company is reportedly working on two major projects: a text-based AI model codenamed Avocado and an image/video-focused model called Mango. While Bosworth didn't specify which models were delivered internally, the mere fact that Meta is making strides in AI development is enough to spark excitement – and debate. Is Meta's aggressive push into AI a game-changer, or is it too little, too late? The company's recent struggles with Llama 4 and its decision to pause international expansion of its AI-equipped Ray-Ban glasses to prioritize US orders raise questions about its ability to execute. However, Bosworth remains optimistic, stating that 2026 and 2027 will be pivotal years for consumer AI, as models become increasingly capable of answering everyday queries. But what does this mean for the average user? Will we soon be interacting with Meta's AI in our daily lives, or will it remain a niche technology? As Meta continues to invest heavily in AI, one thing is clear: the company is betting big on artificial intelligence, and its success or failure could have far-reaching implications for the industry. So, what do you think? Is Meta's AI push a bold innovation or a desperate attempt to catch up? Let us know in the comments – we want to hear your take on this rapidly evolving story.
