Meta AI is the research division of Meta Platforms, dedicated to advancing artificial intelligence and augmented reality technologies. Unlike Meta's Applied Machine Learning (AML) team, which focuses on product application, Meta AI operates as an academic research lab. Its primary focus is to create and share knowledge within the AI community, driving progress in the field through open research and development.
In 2014, Vladimir Vapnik, a pioneer in statistical learning and co-inventor of the support-vector machine, joined Facebook AI Research (FAIR).
In 2015, Facebook AI Research (FAIR) expanded its operations by opening a research center in Paris, France, followed by smaller labs in Seattle, Pittsburgh, Tel Aviv, Montreal and London.
In 2017, FAIR released PyTorch, an open-source machine learning framework, and discontinued a research project after AI bots developed a language unintelligible to humans, although the project's goal had already been achieved.
In 2018, Jérôme Pesenti, former CTO of IBM's big data group, took over as president of FAIR, with Yann LeCun transitioning to the role of chief AI scientist. Also in 2018, FAIR was ranked 25th in the AI Research Rankings 2019.
In 2019, FAIR's ranking in the AI Research Rankings rose to eighth place, reflecting its growing influence in the field.
In 2020, FAIR maintained its eighth position in the AI Research Rankings, indicating consistent performance and impact in AI research.
In November 2022, Meta AI released Galactica, a large language model for generating scientific text, but withdrew it on November 17 due to offensiveness and inaccuracy.
In 2022, Meta AI created HyperTree Proof Search (HTPS), a method for proving mathematical theorems, which successfully generated proofs for 10 International Mathematical Olympiad problems in Lean.
In 2022, Meta AI successfully predicted the 3D shapes of 600 million potential proteins in just two weeks, showcasing advancements in AI-driven protein structure prediction.
In 2022, Meta AI switched from primarily using CPU and in-house custom chips to Nvidia GPUs, necessitating a redesign of data centers for increased networking and liquid cooling.
In February 2023, Meta AI launched LLaMA (Large Language Model Meta AI), which is a large language model with parameters ranging from 7B to 65B.
On September 27, 2023, Meta AI was pre-installed on the second generation of Ray-Ban Meta Smart Glasses as a voice assistant, enhancing the functionality of the wearable device.
On February 27, 2024, Meta announced the launch of a standalone AI app, expanding its AI ecosystem beyond social media integration and introducing a premium subscription model.
On April 23, 2024, Meta announced an update to Meta AI on the Ray-Ban Meta Smart Glasses, enabling multimodal input via Computer vision.
Since May 2024, the Meta AI chatbot has been summarizing news from various outlets without linking directly to original articles, including in Canada. This practice has raised ethical and legal concerns due to the use of news content without compensation.
On July 23, 2024, Meta announced that Meta AI with Vision would be incorporated into v68 of Horizon OS on the Meta Quest 3 and Quest Pro for physical object detection in passthrough mode, replacing the older voice assistant software. Meta AI without Vision is also supported on the Quest 2.
On April 5, 2025, Meta released two of the three Llama 4 models, Scout and Maverick, while the largest model, Behemoth, remained in training.
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