Meta Pushes Forward with New AI Models Under Superintelligence Lab
It’s all hands on deck at Meta as the company accelerates development of new artificial intelligence models under its recently formed Superintelligence Lab, led by Scale AI co-founder Alexandr Wang.
According to a report by The Wall Street Journal, Meta is currently working on:
- An image and video model codenamed “Mango”
- A text-based model internally referred to as “Avocado”
These models are expected to be released in the first half of 2026, based on details shared during an internal Q&A session at Meta last week.
A New AI Roadmap Revealed

The roadmap was unveiled during an internal discussion featuring Alexandr Wang and Meta’s Chief Product Officer Chris Cox. The presentation outlined Meta’s renewed push to regain ground in the highly competitive AI landscape.
Wang explained that Meta’s goals include:
- Making its text-based model significantly better at coding
- Developing “world models” capable of understanding visual information
- Enabling AI systems that can reason, plan, and act autonomously without needing training on every possible scenario
This represents a strategic shift toward more general-purpose and agentic AI systems.
Playing Catch-Up in the AI Race

Meta has increasingly lagged behind rivals such as OpenAI, Anthropic, and Google, all of which have made rapid progress in foundation models, multimodal AI, and enterprise adoption.
In response, Meta restructured its AI division earlier this year. These changes included:
- Leadership reshuffles
- Aggressive recruitment of researchers from competing AI labs
However, the effort has not been without setbacks. Several researchers who joined Meta Superintelligence Labs (MSL) have already exited the company, raising questions about internal stability.
Leadership Changes Add to Uncertainty
Adding to the turbulence, Meta’s long-time Chief AI Scientist Yann LeCun announced last month that he is leaving the company to launch his own startup.
LeCun’s departure marks a significant moment for Meta, given his influential role in shaping the company’s AI research philosophy over the past decade.