Meta Platforms' new artificial intelligence lab, Meta Superintelligence Labs, has delivered its first high-profile AI models internally this month, the company's chief technology officer, Andrew Bosworth, announced on Wednesday. The models, developed in just six months, were described as "very good" by Bosworth during a press briefing at the World Economic Forum in Davos.
Immediate Action & Core Facts
1. Meta's AI Lab Delivers First Models: The newly formed Meta Superintelligence Labs has completed its first key AI models, which have been shared internally. The lab was established last year as part of CEO Mark Zuckerberg's push to strengthen Meta's AI capabilities.
2. Models Show Promise: Bosworth emphasized the models' potential, though he noted that significant post-training work remains before they are ready for public use.
Deeper Dive & Context
Competitive AI Landscape
Meta's AI efforts are closely watched as the company competes with rivals like Alphabet's Google and others in the race for transformative AI technology. Earlier reports indicated Meta was developing a text-based AI model codenamed Avocado and an image/video-focused model codenamed Mango, both slated for a first-quarter launch. However, Bosworth did not specify which models were delivered internally.
Challenges and Future Outlook
Bosworth acknowledged that 2025 was a "tremendously chaotic year" for Meta, marked by infrastructure development and talent acquisition. He predicted that 2026 and 2027 would see consumer AI trends solidify, as recent advances have already delivered models capable of answering complex queries. Despite progress, Meta has faced criticism over the performance of its Llama 4 model, while competitors have gained momentum in the AI race.
Post-Training Work Ahead
Bosworth stressed that AI development involves extensive post-training work to ensure models are usable for both internal and consumer applications. He emphasized that while the models show promise, they are not yet finalized for public release.
The company's aggressive hiring and restructuring efforts reflect its commitment to staying competitive in the rapidly evolving AI landscape.