Meta's new AI model, codenamed Avocado, is showing highly competitive performance even before post-training, signaling a potential strong comeback for Meta in the AI space after previous failures.
Takeways• Meta's Avocado model shows exceptional performance, even before full training, challenging current top AI models.
• Meta has significantly improved compute efficiency and rebuilt its AI team following past controversies with Llama 4.
• A potential shift to closed-source models and a strategy of rapid iteration could enable Meta to dominate the AI industry.
Meta's Super Intelligence Labs has developed a new pre-trained base model, Avocado, which outperforms leading open-source models and competes with top post-trained models in knowledge, visual perception, and multilingual performance. This early success indicates a significantly stronger AI research pipeline and improved compute efficiency for Meta. The company aims to re-establish its credibility in AI following past benchmark controversies with its Llama 4 model.
Meta's New AI Model: Avocado
• 00:00:27 Meta's newly formed Super Intelligence Labs has developed a new AI model codenamed Avocado, which is internally considered Meta's most capable pre-trained base model to date. This model has completed its pre-training phase, where it learns general knowledge and patterns from vast datasets, and an internal memo indicates it has already outperformed leading open-source base models.
Unprecedented Performance
• 00:01:40 Avocado demonstrates impressive performance, competing with leading post-trained models in knowledge, visual perception, and multilingual capabilities, even before undergoing the final post-training refinement phase. This suggests the core model's strength is exceptional, as most AI products only become effective after post-training, indicating Meta's raw AI intelligence is advancing rapidly.
Addressing Past Failures
• 00:03:59 Meta faced a significant PR disaster with its Llama 4 model in 2025, which involved artificially boosted benchmarks and led to resignations and a complete restructuring of its Gen AI organization into the Super Intelligence Labs. The strong performance of Avocado is crucial for Meta to regain trust and save face, as another failure could be detrimental in the competitive AI landscape.
Strategic Comeback & Efficiency
• 00:06:10 Meta has achieved a 10x compute efficiency gain with Avocado on text-related tasks compared to previous models, and over 100x compared to an unreleased Llama 4 version, by focusing on high-quality data and deterministic training. With massive financial resources, a rebuilt all-star AI team, and a potential shift to closed-source models like Avocado, Meta aims to ship models faster and iterate publicly, positioning itself to become a dominant force in AI.