Meta Reframes AI Strategy With Avocado Model
Meta is shifting its AI strategy away from open-source Llama models toward a proprietary successor codenamed Avocado, CNBC reported, with an internal release now targeted for Q1 2026 after testing and Llama 4 setbacks. The company spent $14.3 billion in June to hire Scale AI founder Alexandr Wang and raised 2025 capital expenditure guidance to $70–$72 billion, signaling intensified investment. The pivot could limit external access to model weights and reshape competition with OpenAI, Google, and Anthropic.
Key Points
- 1Introduces Avocado successor, delayed to Q1 2026, developed inside TBD Lab
- 2Highlights pivot from open-source Llama toward proprietary models after Llama 4 reception and IP concerns
- 3Signals major hiring and spending; practitioners may face restricted weight access and less third-party innovation
Scoring Rationale
Major strategic pivot and hiring-driven model development with reliable sourcing; limited breakthrough novelty beyond execution and timing details.
Sources
Public references used for this report.
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