In 2018, Jérôme Pesenti, former CTO of IBM'sbig data group, assumed the role of president of FAIR, while LeCun stepped down to serve as chief AI scientist.[6] FAIR had approximately 200 staff in 2018.[7]
FAIR's research includes self-supervised learning, generative adversarial networks, document classification and translation, and computer vision.[8] FAIR released Torch deep-learning modules as well as PyTorch in 2017, an open-source machine learning framework,[8] which was subsequently used in several deep learning technologies, such as Tesla's autopilot [9] and Uber's Pyro.[10] That same year, a pair of chatbots were falsely rumored[11] to be discontinued for developing a language that was unintelligible to humans.[12] FAIR clarified that the research had been shut down because they had accomplished their initial goal to understand how languages are generated by their models, rather than out of fear.[11]
FAIR was renamed Meta AI following the rebranding that changed Facebook, Inc. to Meta Platforms Inc.[13]
The virtual assistant was pre-installed on the second generation of Ray-Ban Meta smartglasses, and can incorporate inputs from the glasses' cameras after an update.[17] It is also available on Quest 2 and newer HMDs.[18]
Since May 2024, the chatbot has summarized news from various outlets without linking directly to original articles, including in Canada, where news links are banned on its platforms. This use of news content without compensation and attribution has raised ethical and legal concerns, especially as Meta continues to reduce news visibility on its platforms.[19]
Galactica is a large language model (LLM) designed for generating scientific text. It was available for three days since 15 November 2022, before being withdrew from service for generating racist and inaccurate contents.[23][24]
LLaMA is a LLM released in February 2023, supporting 7B to 65B parameters.[25] Two of the three Llama 4 models, Scout and Maverick, was released on April 5, 2025, with the biggest model, Behemoth, still in training.[26]
Hardware
Meta uses CPUs and in-house custom chips until 2022, when they switched to NvidiaGPUs. Several data centers were redesigned to accommodate for the larger network bandwidth and cooling requirements.[27]
^McKay, Tom (2017-08-01). "No, Facebook Did Not Panic and Shut Down an AI Program That Was Getting Dangerously Smart". Gizmodo. Retrieved 2025-05-27. When Facebook directed two of these semi-intelligent bots to talk to each other, FastCo reported, the programmers realized they had made an error by not incentivizing the chatbots to communicate according to human-comprehensible rules of the English language. In their attempts to learn from each other, the bots thus began chatting back and forth in a derived shorthand—but while it might look creepy, that's all it was.
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