Meta’s Superintelligence Labs Hits First Breakthrough AI Models

Consumers can’t see it yet, but one famous AI firm is feeling very happy about it.

Meta’s elite Superintelligence Labs has produced its first breakthrough AI models after six months of intense development.

CTO Andrew Bosworth revealed at Davos 2026 that the internal models are showing “very good” results, marking a dramatic turnaround from the harsh criticism Meta faced when Llama 4 launched nine months ago and struggled against Google’s Gemini.

The breakthrough, as reported by Reuters, comes from Meta’s secretive new lab, codenamed Project Avocado (text-based) and Project Mango (visual intelligence), targeting a broad first-half 2026 public release.

Despite the promising results, Bosworth emphasized that extensive post-training work remains before these models reach consumers—but the rapid six-month timeline represents an acceleration from traditional AI development cycles.

Talent war

Mark Zuckerberg’s recruitment blitz launched in mid-2025 has fundamentally altered the AI talent landscape. Meta’s aggressive strategy has attracted over 50 engineers and researchers, including four former OpenAI scientists, through compensation packages reaching $100 million.

Former Scale AI chief Alexandr Wang now leads Meta Superintelligence Labs, bringing proven expertise in AI data infrastructure to the operation. But the pressure has been immense—Business Insider reported just over a month ago that Meta underwent its fourth major reorganization in six months, dividing the lab into four specialized teams.

The turbulence shows: at least eight staffers left within two months of the lab’s formation. Yet today’s model delivery validates the massive investment, proving that Meta’s “year of intensity” strategy can produce results under extreme pressure.

A year of rivalry

Meta’s comeback positions the company for a direct assault on the AI landscape, where competitors like Microsoft reported $13 billion in AI revenue with 175% year-over-year growth. The Avocado text model expects a Q1 2026 launch, putting it on collision course with ChatGPT and Gemini.

Bosworth characterized 2025 as a “tremendously chaotic year” for building infrastructure, but predicted that 2026 and 2027 will solidify consumer AI trends. Meta’s multimodal approach focuses on everyday applications—recent advances produce models that handle “the kinds of things that you ask every day with your family, your kids.”

Meta’s open-source strategy creates massive advantages. The company’s LLaMA ecosystem already enables over one million developers to build applications, while Meta continues to process over four billion daily translations across its 3.8 billion user base. When these new models launch, they could achieve unprecedented scale almost instantly.

The shape of things to come

Six months from conception to breakthrough represents more than corporate efficiency—it’s a blueprint for survival in the AI arms race. While Bosworth acknowledged the “tremendous work required” for consumer readiness, the timeline creates both opportunity and uncertainty around Meta’s ambitious 2026 release schedule.

Success could restore Meta’s reputation as a technology innovator rather than a social media company playing catch-up.

With billions invested in infrastructure and the industry’s top talent assembled under intense pressure, the next few months will determine whether Meta’s bold gamble reshapes the AI landscape—or whether the rapid development pace proves unsustainable for delivering consumer-ready products that can truly compete with established leaders.

Global concern about AI is set to intensify in 2026, following a year in which job cuts linked to the technology dominated headlines and public debate.

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