A new push is underway inside Meta as the company works on multiple advanced artificial intelligence models aimed at strengthening its position in the fast growing AI race.
Reports indicate that Meta is developing 3 new AI models through its dedicated Superintelligence Labs unit, which was set up earlier this year. One of these models is focused on image and video generation, while the other 2 are designed for coding and real world simulation.
According to a business publication, Meta has internally codenamed its image and video generation model “Mango.” During an internal question and answer session, Meta Superintelligence Labs head and Chief AI Officer Alexandr Wang reportedly shared that the model could be released in the first half of 2026.
Alongside Mango, Meta is also working on a text based large language model called Avocado. This model is said to be focused on coding and software development tasks and is expected to follow a similar release timeline. The company is also making progress on world models, which are designed to understand and simulate real world environments using visual inputs.
The development highlights Meta’s intent to compete directly with leading AI offerings in image and video generation from Google and OpenAI. Visual generation tools have become major user growth drivers, helping rival platforms attract millions of new users in a short time.
Meta’s interest in coding focused AI also mirrors efforts by competitors who are using developer tools to expand enterprise adoption. A coding specific model could eventually evolve into a standalone development tool or integrate with existing coding environments.
World models stand out as the most long term initiative. These systems act as internal simulators, allowing AI to predict real world outcomes before taking action. Meta has been researching this area for several years under the guidance of Yann LeCun, who recently announced his departure from the company.
Experts view world models as a key building block for artificial general intelligence and future robotic systems, both humanoid and non humanoid. With these developments, Meta appears to be positioning itself for the next phase of AI innovation across consumer and enterprise use cases.
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