View source for Meta AI

{{Short description|Artificial intelligence division of Meta Platforms}}
{{Infobox company
| name = Meta AI
| logo = Meta Platforms Inc. logo (cropped).svg
| logo_size = 160px
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| type = [[Division (business)|Division]]
| industry = [[Artificial intelligence]]
| founded = {{Start date and age|2015|12|11}}
| founders = {{hlist|[[Yann LeCun]]|[[Mark Zuckerberg]]|[[Rob Fergus]]}}
| dissolved =
| hq_location = [[Astor Place]], [[New York City]], [[New York (state)|New York]], U.S.
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| products = [[Llama (language model)|LLaMA]]
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| owner = [[Meta Platforms]]
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| homepage = {{url|https://ai.meta.com/}}
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{{Meta sidebar}}
{{Artificial intelligence}}
'''Meta AI''' is a company owned by [[Meta Platforms|Meta]] (formerly [[Facebook]]) that develops [[artificial intelligence]] and [[Augmented reality|augmented]] and artificial reality technologies. Meta AI deems itself an academic research laboratory, focused on generating knowledge for the AI community, and should not be confused with Meta's Applied Machine Learning (AML) team, which focuses on the practical applications of its products.
== History ==
The laboratory was founded as Facebook Artificial Intelligence Research (FAIR) with locations at the headquarters in [[Menlo Park, California]], [[London]], United Kingdom, and a new laboratory in [[Manhattan]]. FAIR was officially announced in September 2013.<ref>{{Cite web |title=NYU "Deep Learning" Professor LeCun Will Head Facebook's New Artificial Intelligence Lab |url=https://techcrunch.com/2013/12/09/facebook-artificial-intelligence-lab-lecun/ |access-date=2022-05-08 |website=TechCrunch |date=9 December 2013 |language=en-US }}</ref> FAIR was first directed by [[New York University]]'s [[Yann LeCun]], a [[deep learning]] professor and [[Turing Award]] winner.<ref>{{Cite web |title=Yann LeCun - A.M. Turing Award Laureate |url=https://amturing.acm.org/award_winners/lecun_6017366.cfm |access-date=2022-05-08 |website=amturing.acm.org |archive-date=2023-03-27 |archive-url=https://web.archive.org/web/20230327011608/https://amturing.acm.org/award_winners/lecun_6017366.cfm |url-status=live }}</ref> Working with NYU's Center for Data Science, FAIR's initial goal was to research data science, machine learning, and artificial intelligence and to "understand intelligence, to discover its fundamental principles, and to make machines significantly more intelligent".<ref name=":1">{{Cite web |date=2018-12-05 |title=FAIR turns five: What we've accomplished and where we're headed |url=https://engineering.fb.com/2018/12/05/ai-research/fair-fifth-anniversary/ |access-date=2022-05-08 |website=Engineering at Meta |language=en-US |archive-date=2022-05-11 |archive-url=https://web.archive.org/web/20220511012517/https://engineering.fb.com/2018/12/05/ai-research/fair-fifth-anniversary/ |url-status=live }}</ref> Research at FAIR pioneered the technology that led to face recognition, tagging in photographs, and personalized feed recommendation.<ref>{{Cite news |last=Metz |first=Cade |date=December 12, 2013 |title=Facebook's 'Deep Learning' Guru Reveals the Future of AI |work=Wired Business |url=https://www.wired.com/2013/12/facebook-yann-lecun-qa/ |access-date=May 7, 2022 |archive-date=May 8, 2022 |archive-url=https://web.archive.org/web/20220508180652/https://www.wired.com/2013/12/facebook-yann-lecun-qa/ |url-status=live }}</ref> [[Vladimir Vapnik]], a pioneer in statistical learning, joined FAIR<ref>{{Cite web |date=2014-11-25 |title=Facebook's AI team hires Vladimir Vapnik, father of the popular support vector machine algorithm |url=https://venturebeat.com/2014/11/25/facebooks-ai-team-hires-vladimir-vapnik-father-of-the-popular-support-vector-machine-algorithm/ |access-date=2022-05-08 |website=VentureBeat |language=en-US |archive-date=2014-11-27 |archive-url=https://web.archive.org/web/20141127001517/http://venturebeat.com/2014/11/25/facebooks-ai-team-hires-vladimir-vapnik-father-of-the-popular-support-vector-machine-algorithm/ |url-status=live }}</ref> in 2014. Vapnik is the co-inventor of the [[support-vector machine]] and one of the developers of the [[Vapnik–Chervonenkis theory]].
FAIR opened a research center in [[Paris]], [[France]] in 2015,<ref>{{Cite news |last=Dillet |first=Romain |date=June 2, 2015 |title=Facebook Opens New AI Research Center in Paris |work=TechCrunch |url=https://techcrunch.com/2015/06/02/facebook-opens-new-ai-research-center-in-paris/ |access-date=May 7, 2022}}</ref> and subsequently launched smaller satellite research labs in [[Seattle]], [[Pittsburgh]], [[Tel Aviv]], [[Montreal]] and London.<ref>{{Cite web |title=Facebook Opens New AI Research Center In Paris |url=https://techcrunch.com/2015/06/02/facebook-opens-new-ai-research-center-in-paris/ |access-date=2022-05-08 |website=TechCrunch |date=2 June 2015 |language=en-US }}</ref> In 2016, FAIR partnered with [[Google]], [[Amazon (company)|Amazon]], [[IBM]], and [[Microsoft]] in creating the Partnership on Artificial Intelligence to Benefit People and Society, an organization with a focus on open licensed research, supporting ethical and efficient research practices, and discussing fairness, [[inclusivity]], and transparency.
In 2018, Jérôme Pesenti, former [[Chief technology officer|CTO]] of [[IBM|IBM's]] [[big data]] group, assumed the role of president of FAIR, while LeCun stepped down to serve as chief AI scientist.<ref>{{Cite news |last=Dave |first=Greshgorn |date=January 23, 2018 |title=The head of Facebook's AI research is stepping into a new role as it shakes up management |work=Quartz |url=https://qz.com/1186806/yann-lecun-is-stepping-down-as-facebooks-head-of-ai-research/ |access-date=May 7, 2022 |archive-date=May 8, 2022 |archive-url=https://web.archive.org/web/20220508180652/https://qz.com/1186806/yann-lecun-is-stepping-down-as-facebooks-head-of-ai-research/ |url-status=live }}</ref> In 2018, FAIR was placed 25th in the AI Research Rankings 2019, which ranked the top global organizations leading AI research.<ref>{{Cite web |last=Chuvpilo |first=Gleb |date=2021-05-19 |title=Who's Ahead in AI Research? Insights from NIPS, Most Prestigious AI Conference |url=https://chuvpilo.medium.com/whos-ahead-in-ai-research-insights-from-nips-most-prestigious-ai-conference-df2c361236f6 |access-date=2022-05-08 |website=Medium |language=en |archive-date=2022-05-08 |archive-url=https://web.archive.org/web/20220508180654/https://chuvpilo.medium.com/whos-ahead-in-ai-research-insights-from-nips-most-prestigious-ai-conference-df2c361236f6 |url-status=live }}</ref> FAIR quickly rose to eighth position in 2019,<ref>{{Cite web |last=Chuvpilo |first=Gleb |date=2021-05-19 |title=AI Research Rankings 2019: Insights from NeurIPS and ICML, Leading AI Conferences |url=https://chuvpilo.medium.com/ai-research-rankings-2019-insights-from-neurips-and-icml-leading-ai-conferences-ee6953152c1a |access-date=2022-05-08 |website=Medium |language=en |archive-date=2022-04-11 |archive-url=https://web.archive.org/web/20220411174659/https://chuvpilo.medium.com/ai-research-rankings-2019-insights-from-neurips-and-icml-leading-ai-conferences-ee6953152c1a |url-status=live }}</ref> and maintained eighth position in the 2020 rank.<ref>{{Cite web |last=Chuvpilo |first=Gleb |date=2021-05-19 |title=AI Research Rankings 2020: Can the United States Stay Ahead of China? |url=https://chuvpilo.medium.com/ai-research-rankings-2020-can-the-united-states-stay-ahead-of-china-61cf14b1216 |access-date=2022-05-08 |website=Medium |language=en |archive-date=2022-05-07 |archive-url=https://web.archive.org/web/20220507105934/https://chuvpilo.medium.com/ai-research-rankings-2020-can-the-united-states-stay-ahead-of-china-61cf14b1216 |url-status=live }}</ref> FAIR had approximately 200 staff in 2018, and had the goal to double that number by 2020.<ref>{{Cite web |last=Shead |first=Sam |title=Facebook Plans To Double Size Of AI Research Unit By 2020 |url=https://www.forbes.com/sites/samshead/2018/10/01/facebook-plans-to-double-size-of-ai-research-unit-by-2020/ |access-date=2022-05-08 |website=Forbes |language=en |archive-date=2022-05-08 |archive-url=https://web.archive.org/web/20220508180652/https://www.forbes.com/sites/samshead/2018/10/01/facebook-plans-to-double-size-of-ai-research-unit-by-2020/ |url-status=live }}</ref>
FAIR's initial work included research in learning-model enabled memory networks, [[self-supervised learning]] and [[generative adversarial network]]s, [[Text Classification|text classification]] and translation, as well as [[computer vision]].<ref name=":1" /> FAIR released Torch deep-learning modules as well as [[PyTorch]] in 2017, an [[Open source|open-source]] machine learning framework,<ref name=":1" /> which was subsequently used in several deep learning technologies, such as [[Tesla, Inc.|Tesla]]'s autopilot <ref>{{Cite web |last=Karpathy |first=Andrej |title=PyTorch at Tesla - Andrej Karpathy, Tesla |website=[[YouTube]] |date=6 November 2019 |url=https://www.youtube.com/watch?v=oBklltKXtDE |access-date=2022-05-08 |archive-date=2023-03-24 |archive-url=https://web.archive.org/web/20230324144838/https://www.youtube.com/watch?v=oBklltKXtDE |url-status=live }}</ref> and [[Uber]]'s Pyro.<ref>{{Cite web |title=Pyro |url=https://pyro.ai/ |access-date=2022-05-08 |website=pyro.ai |archive-date=2022-05-06 |archive-url=https://web.archive.org/web/20220506094900/http://pyro.ai/ |url-status=live }}</ref> Also in 2017, FAIR discontinued a research project once AI bots developed a language that was unintelligible to humans,<ref name=":2">{{Cite web |date=2017-07-31 |title=Facebook researchers shut down AI bots that started speaking in a language unintelligible to humans |url=https://www.firstpost.com/tech/news-analysis/facebook-researchers-shut-down-ai-bots-that-started-speaking-in-a-language-unintelligible-to-humans-3876197.html |access-date=2022-05-08 |website=Tech2 |archive-date=2022-05-08 |archive-url=https://web.archive.org/web/20220508180652/https://www.firstpost.com/tech/news-analysis/facebook-researchers-shut-down-ai-bots-that-started-speaking-in-a-language-unintelligible-to-humans-3876197.html |url-status=live }}</ref> inciting conversations about dystopian fear of artificial intelligence going out of control.<ref>{{Cite web |last=Magid |first=Larry |title=Dystopian Fear Of Facebook's AI Experiment Is Highly Exaggerated |url=https://www.forbes.com/sites/larrymagid/2017/08/01/dystopian-fear-of-facebooks-ai-experiment-is-highly-exagerated/ |access-date=2022-05-08 |website=Forbes |language=en |archive-date=2022-05-08 |archive-url=https://web.archive.org/web/20220508180653/https://www.forbes.com/sites/larrymagid/2017/08/01/dystopian-fear-of-facebooks-ai-experiment-is-highly-exagerated/ |url-status=live }}</ref> However, FAIR clarified that the research had been shut down because they had accomplished their initial goal to understand how languages are generated, rather than out of fear.<ref name=":2" />
FAIR was renamed Meta AI following the rebranding that changed Facebook, Inc. to Meta Platforms Inc.<ref name=":3">{{Cite news |last=Murphy Kelly |first=Samantha |date=October 29, 2021 |title=Facebook changes its company name to Meta |url=https://edition.cnn.com/2021/10/28/tech/facebook-mark-zuckerberg-keynote-announcements/index.html |access-date=May 7, 2022 |work=CNN Business |archive-date=May 7, 2022 |archive-url=https://web.archive.org/web/20220507032946/https://edition.cnn.com/2021/10/28/tech/facebook-mark-zuckerberg-keynote-announcements/index.html |url-status=live }}</ref>
In 2022, Meta AI predicted the 3D shape of 600 million potential [[protein]]s in two weeks.<ref>{{cite web|url=https://www.livescience.com/meta-predicts-600-million-protein-shapes|title=Meta's new AI just predicted the shape of 600 million proteins in 2 weeks|date=November 4, 2022|publisher=[[Live Science]]|access-date=November 5, 2022|archive-date=November 5, 2022|archive-url=https://web.archive.org/web/20221105231920/https://www.livescience.com/meta-predicts-600-million-protein-shapes|url-status=live}}</ref>
== Current research ==
=== Natural language processing and conversational AI ===
Artificial intelligence communication requires a machine to [[natural language understanding|understand natural language]] and to [[natural language generation|generate language]] that is natural. Meta AI seeks to improve these technologies to improve safe communication regardless of what language the user might speak.<ref>{{Cite web |title=Meta AI Research Topic - Natural Language Processing |url=https://ai.facebook.com/research/topics/nlp |access-date=2022-05-08 |website=ai.facebook.com |language=en |archive-date=2022-05-08 |archive-url=https://web.archive.org/web/20220508180655/https://ai.facebook.com/research/topics/nlp/ |url-status=live }}</ref> Thus, a central task involves the generalization of natural language processing (NLP) technology to other languages. As such, Meta AI actively works on unsupervised machine translation.<ref>{{cite arXiv |last1=Lample |first1=Guillaume |last2=Ott |first2=Myle |last3=Conneau |first3=Alexis |last4=Denoyer |first4=Ludovic |last5=Ranzato |first5=Marc'Aurelio |date=2018-08-13 |title=Phrase-Based & Neural Unsupervised Machine Translation |class=cs.CL |eprint=1804.07755}}</ref><ref>{{cite arXiv |last1=Conneau |first1=Alexis |last2=Lample |first2=Guillaume |last3=Rinott |first3=Ruty |last4=Williams |first4=Adina |last5=Bowman |first5=Samuel R. |last6=Schwenk |first6=Holger |last7=Stoyanov |first7=Veselin |date=2018-09-13 |title=XNLI: Evaluating Cross-lingual Sentence Representations |class=cs.CL |eprint=1809.05053}}</ref> Meta AI seeks to improve [[natural language user interface|natural-language interfaces]] by developing aspects of chitchat dialogue such as repetition, specificity, response-relatedness and question-asking,<ref>{{cite arXiv |last1=See |first1=Abigail |last2=Roller |first2=Stephen |last3=Kiela |first3=Douwe |last4=Weston |first4=Jason |date=2019-04-10 |title=What makes a good conversation? How controllable attributes affect human judgments |class=cs.CL |eprint=1902.08654}}</ref> incorporating personality into image captioning,<ref>{{cite arXiv |last1=Shuster |first1=Kurt |last2=Humeau |first2=Samuel |last3=Hu |first3=Hexiang |last4=Bordes |first4=Antoine |last5=Weston |first5=Jason |date=2019-03-20 |title=Engaging Image Captioning Via Personality |class=cs.CV |eprint=1810.10665}}</ref> and generating creativity-based language.<ref>{{cite arXiv |last1=Fan |first1=Angela |last2=Lewis |first2=Mike |last3=Dauphin |first3=Yann |date=2018-05-13 |title=Hierarchical Neural Story Generation |class=cs.CL |eprint=1805.04833}}</ref>
{{Anchor|Galactica}}
In November 2022, a [[large language model]] designed for generating scientific text, Galactica, was released.<ref>{{cite arXiv |last1=Taylor |first1=Ross |title=Galactica: A Large Language Model for Science |date=2022-11-16 |eprint=2211.09085 |last2=Kardas |first2=Marcin |last3=Cucurull |first3=Guillem |last4=Scialom |first4=Thomas |last5=Hartshorn |first5=Anthony |last6=Saravia |first6=Elvis |last7=Poulton |first7=Andrew |last8=Kerkez |first8=Viktor |last9=Stojnic |first9=Robert|class=cs.CL }}</ref> Meta withdrew Galactica on 17 November due to offensiveness and inaccuracy.<ref>{{cite news |last1=Edwards |first1=Benj |date=18 November 2022 |title=New Meta AI demo writes racist and inaccurate scientific literature, gets pulled |url=https://arstechnica.com/information-technology/2022/11/after-controversy-meta-pulls-demo-of-ai-model-that-writes-scientific-papers/ |access-date=30 December 2022 |work=[[Ars Technica]] |language=en-us}}</ref> Before the cancellation, researchers were working on Galactica Instruct, which would use [[instruction tuning]] to allow the model to follow instructions to manipulate [[LaTeX]] documents on [[Overleaf]].<ref>{{Cite interview |last=Scialom |first=Thomas |interviewer=swyx & Alessio |title=Llama 2, 3 & 4: Synthetic Data, RLHF, Agents on the path to Open Source AGI |url=https://www.latent.space/p/llama-3 |archive-url=https://web.archive.org/web/20240724180028/https://www.latent.space/p/llama-3 |archive-date=July 24, 2024 |work=Latent Space |date=July 23, 2024}}</ref>
==== LLaMA ====
{{Main|Llama (language model)}}
In February 2023, Meta AI launched [[Llama_(language_model)|LLaMA]] (Large Language Model Meta AI), a [[large language model]] ranging from 7B to 65B parameters.{{cn|date=June 2024}}
=== Hardware ===
Until 2022, Meta AI mainly used CPU and in-house custom chip as hardware, before finally switching to Nvidia GPU. This necessitated a complete redesign of several data centers, since they needed 24 to 32 times the networking capacity and new liquid cooling systems.<ref>[https://www.reuters.com/technology/inside-metas-scramble-catch-up-ai-2023-04-25/ Insight: Inside Meta's scramble to catch up on AI]
[https://www.reuters.com/technology/inside-metas-scramble-catch-up-ai-2023-04-25/ By Katie Paul, Krystal Hu, Stephen Nellis and Anna Tong]
[https://www.reuters.com/technology/inside-metas-scramble-catch-up-ai-2023-04-25/ April 25, 20233:06 PM PDT]</ref>
==== MTIA v1 ====
The MTIA v1 is Meta's first-generation AI training and inference [[Hardware acceleration|accelerator]], developed specifically for Meta's recommendation workloads. It was fabricated using [[TSMC]]'s 7 nm process technology and operates at a frequency of 800 MHz. In terms of processing power, the accelerator provides 102.4 TOPS at INT8 precision and 51.2 TFLOPS at FP16 precision, while maintaining a [[thermal design power]] (TDP) of 25 W.<ref>{{Cite web |last=Peters |first=Jay |date=2023-05-19 |title=Meta is working on a new chip for AI |url=https://www.theverge.com/2023/5/18/23728678/meta-ai-new-chip-mtia-msvp-datacenter |access-date=2023-06-07 |website=The Verge |language=en-US |archive-date=2023-06-07 |archive-url=https://web.archive.org/web/20230607123218/https://www.theverge.com/2023/5/18/23728678/meta-ai-new-chip-mtia-msvp-datacenter |url-status=live }}</ref>
Meta AI offers options for users to customize their interaction with its features. Users are able to mute the AI chatbot on platforms like Facebook, Instagram, and WhatsApp,<ref>{{Cite web |last=UBB |first=Ajit |date=May 2, 2024 |title=How to Turn OFF Meta AI Facebook |url=https://usabloggerbook.com/how-to-turn-off-meta-ai-facebook/ |website=UBB}}</ref> temporarily halting notifications from the chatbot. Some platforms also offer the ability to hide certain AI elements from their interface. To locate the relevant settings, users can consult the platform's help documentation or settings menu.
=== Mathematical theorem proving ===
In 2022, Meta created a method for proving mathematical theorems called HyperTree Proof Search (HTPS), which successfully generated proofs of 10 [[International Mathematical Olympiad]] problems in [[Lean (proof assistant)|Lean]].<ref>{{Cite web |date=November 3, 2022 |title=Teaching AI advanced mathematical reasoning |url=https://ai.meta.com/blog/ai-math-theorem-proving/ |website=ai.meta.com}}</ref>
Since May 2024, the Meta AI 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 has raised ethical and legal concerns, especially as Meta continues to reduce news visibility on its platforms.<ref>{{cite news| title=Meta walked away from news. Now the company's using it for AI content |date=21 May 2024 |url=https://www.washingtonpost.com/technology/2024/05/22/meta-ai-news-summaries/|newspaper=The Washington Post|archive-url=https://web.archive.org/web/20240521131313/https://www.washingtontimes.com/news/2024/may/21/slovakias-parliament-votes-to-condemn-political-vi/|archive-date=21 May 2024 |access-date=22 May 2024}}</ref>
== Uses ==
Meta AI was pre-installed on the second generation of [[Ray-Ban Meta Smart Glasses]] on September 27, 2023 as a voice assistant.<ref>{{Cite web |date=2023-09-27 |title=Introducing the New Ray-Ban {{!}} Meta Smart Glasses |url=https://about.fb.com/news/2023/09/new-ray-ban-meta-smart-glasses/ |access-date=2024-01-08 |website=Meta |language=en-US}}</ref> On April 23, 2024, Meta announced an update to Meta AI on the smart glasses to enable multimodal input via [[Computer vision]].<ref>{{Cite web |last= |date=2024-04-23 |title=Smart(er) Glasses: Introducing New Ray-Ban {{!}} Meta Styles + Expanding Access to Meta AI with Vision |url=https://www.meta.com/blog/quest/ray-ban-meta-smart-glasses-new-styles-multimodal-ai-ferrari/ |url-status=live |archive-url=https://web.archive.org/web/20240727025149/https://www.meta.com/blog/quest/ray-ban-meta-smart-glasses-new-styles-multimodal-ai-ferrari/ |archive-date=2024-07-27 |website=Meta Quest Blog}}</ref> On July 23, 2024, Meta announced that Meta AI with Vision would be incorporated into the [[Meta Quest 3]] for detection of physical objects in passthrough mode, replacing the older voice assistant software in the [[Meta Horizon OS|Quest OS]].<ref>{{Cite web |last=Meta Quest Blog |date=July 23, 2024 |title=Introducing Meta AI on Meta Quest—Your Smart MR Assistant |url=https://www.meta.com/blog/quest/meta-ai-on-meta-quest-3 |website=Meta Blog}}</ref>
== Available countries ==
Meta AI in English is available in more than a dozen countries outside of the [[US]]. Now, people will have access to Meta AI in [[Argentina]], [[Australia]], [[Brazil]], [[Bolivia]], [[Cameroon]], [[Canada]], [[Chile]], [[Colombia]], [[Ecuador]], [[Ghana]], [[Guatemala]], [[Jamaica]], [[Malawi]], [[Mexico]], [[New Zealand]], [[Nigeria]], [[Pakistan]], [[Paraguay]], [[Peru]], [[Philippines]], [[Singapore]], [[South Africa]], [[United Kingdom]], [[Uganda]], [[Zambia]], and [[Zimbabwe]].<ref>{{Cite web |title=Meet Your New Assistant: Meta AI, Built With Llama 3 | date=18 April 2024 |url=https://about.fb.com/news/2024/04/meta-ai-assistant-built-with-llama-3/#:~:text=We%E2%80%99re%20rolling%20out%20Meta%20AI%20in%20English%20in,and%20Zimbabwe%20%E2%80%94%20and%20we%E2%80%99re%20just%20getting%20started.}}</ref><ref>{{Cite web |title=Meta AI Is Now Multilingual, More Creative and Smarter |date=23 July 2024 |url=https://about.fb.com/news/2024/07/meta-ai-is-now-multilingual-more-creative-and-smarter/}}</ref>
'''Coming Soon''': [[Algeria]], [[Egypt]], [[Indonesia]], [[Iraq]], [[Jordan]], [[Libya]], [[Malaysia]], [[Morocco]], [[Saudi Arabia]], [[Sudan]], [[Thailand]], [[Tunisia]], [[United Arab Emirates]], [[Vietnam]], and [[Yemen]]
== See also ==
* [[Meta Platforms]]
== References ==
<!-- Inline citations added to your article will automatically display here. See en.wikipedia.org/wiki/WP:REFB for instructions on how to add citations. -->
{{reflist}}
* {{cite web | last = CircleOut | title = How Meta AI Impacts Our Lives | date = 6 July 2024 | url = https://circleout.ae/digital-marketing/social-media-marketing/how-meta-ai-impacts-our-lives/ | access-date = 2024-07-06 }}
== External links ==
*{{Official website|https://ai.meta.com/}}
*{{Twitter|aiatmeta}}
*{{Instagram|aiatmeta}}
*[https://www.youtube.com/@AIatMeta Meta AI] on [[YouTube]]
{{Meta Platforms}}
{{Meta Horizon}}
{{Generative AI}}
{{Artificial intelligence (AI)}}
[[Category:Meta Platforms]]
[[Category:Artificial intelligence laboratories]]
[[Category:2013 establishments in California]]