Meta’s Unreleased AI Model Avocado: Key Insights
▼ Summary
– While companies like OpenAI and NVIDIA lead in AI, Meta is struggling to maintain relevance despite its large language models.
– Meta’s consumer-facing AI, Meta AI, is powered by its open-source Llama model family and has evolved into a standalone app with features like a Discover Feed.
– Meta is developing a new, proprietary frontier model called ‘Avocado’, which marks a strategic shift away from its previous commitment to open-source AI.
– Meta’s AI strategy faces uncertainty due to model delays, reported underperformance against competitors, and internal discussions about licensing Google’s Gemini.
– This shift and the challenges raise questions about Meta’s long-term AI strategy, balancing openness with control and the financial pressures of massive investment.
While giants like OpenAI, Google, and NVIDIA dominate headlines, Meta’s position in the artificial intelligence race appears increasingly uncertain. The company’s path forward is clouded by strategic shifts and technical delays, most notably surrounding its unreleased, proprietary model known internally as Avocado. This pivot from its established open-source philosophy reveals a company grappling with the competing demands of innovation, competition, and immense financial pressure.
Meta’s public AI face is Meta AI, a consumer chatbot integrated across its apps and powered by the Llama family of large language models. Llama was launched as an open-source project aimed at democratizing AI research. However, behind the scenes, Meta has been developing Avocado, a fundamentally different, closed-source system. This move marks a stark reversal from founder Mark Zuckerberg’s earlier championing of open-source development as a way to accelerate the field and close capability gaps.
This strategic reconsideration stems from several pressures. The success of rivals like DeepSeek, which used open-source components from models like Llama to build competitive systems, demonstrated a clear downside to Meta’s openness: it was arming its competitors. Furthermore, the staggering costs of AI infrastructure investment necessitate new revenue streams. A proprietary model like Avocado could eventually be monetized, helping offset expenditures like Meta’s $14.3 billion stake in data-labeling firm Scale AI.
Yet, the execution of this new direction is facing significant hurdles. The launch of Avocado, initially slated for March 2026, has reportedly been postponed to mid-year. Internal testing indicated it was falling short against competitors like Google’s Gemini in key areas such as reasoning and coding. Concurrently, the latest open-source Llama 4 models have seen a mixed reception, with its flagship “Behemoth” model repeatedly delayed.
These technical challenges point to a broader strategic dissonance. Meta is now attempting to pursue both open and closed models simultaneously, creating a reactive AI strategy rather than a clear, consistent vision. The most telling signal of this turmoil is the reported discussion within Meta’s leadership about temporarily licensing Google’s Gemini to power its own products. Such a move would represent a profound shift, transforming Meta from a builder of core AI technology into a distributor of another company’s engine.
The central question is no longer about Meta’s ability to develop a powerful model, but whether it can define and execute a coherent plan. The tension between its open-source heritage and the perceived need for proprietary control, compounded by performance delays, suggests a company struggling to find its footing. Without a definitive strategy, Meta risks being left behind in the very race it has spent hundreds of billions to win.
(Source: The Next Web)
