Organisation · lab · US

Meta AI

Meta's AI effort, from the FAIR research lab to the 2025 Meta Superintelligence Labs division; long the standard-bearer for open-weight models before shifting toward closed releases.

67 entries · April 2020 – July 2026

Meta AI covers the artificial-intelligence work of Facebook's parent company, from the Fundamental AI Research lab (FAIR) that Yann LeCun founded in 2013 to the Meta Superintelligence Labs division created in 2025. For several years its distinctive strategy was openness: the Llama models were released as downloadable open weights, which made them the basis of much independent research and many products. That approach came under strain after Llama 4 was poorly received in 2025, prompting Mark Zuckerberg to restructure the effort around Alexandr Wang — brought in through a $14.3bn investment in Scale AI — and, in 2026, to release Muse Spark as a closed, proprietary model, a reversal that coincided with LeCun's departure. Meta's standing at the frontier is contested: independent trackers placed its 2026 flagship behind the leading models from Google, OpenAI and Anthropic.

Category
Frontier & foundation-model labs
Founded
2013
HQ
Menlo Park, US
Key people
Mark Zuckerberg, Alexandr Wang

Appears alongside

Featured in threads

Tracks

  • Models & capabilities 26
  • Open weights & ecosystem 25
  • Labs & people 11
  • Security & misuse 9
  • Ideas & essays 8
  • Government & policy 8
  • Money & business 6
  • Compute & infrastructure 4
  • Safety & alignment 4
  • Courts & copyright 4
  • Culture & impact 4
  • Benchmarks & progress 4

  1. Meta's free cash flow falls sharply on AI capex as Q2 profit misses

    Meta's free cash flow fell to $784m from an average of roughly $12bn a quarter as AI infrastructure spending and legal charges ate into operating profit, even as revenue rose 28%.

    Money & business · Compute & infrastructure

  2. 'Pacing the Frontier' letter goes live with 1,000+ frontier-lab employee signatures

    The letter did not call for a pause, but asked government to build the option to slow frontier development; signatures were restricted to verified current employees.

    Safety & alignment · Ideas & essays

  3. Thinking Machines Lab releases open-weight model Inkling

    The 975-billion-parameter mixture-of-experts model was pitched not as the strongest available but as a base for enterprise fine-tuning through the lab's Tinker platform.

    Models & capabilities · Open weights & ecosystem

  4. Meta ships Muse Spark 1.1

    Meta claimed the update beat Google's latest Gemini on coding and reasoning benchmarks but did not compare it to Anthropic's or OpenAI's newest flagship models, which it still trailed.

    Models & capabilities

  5. China blocks and orders Meta to unwind its Manus acquisition

    Beijing invoked its foreign-investment security review for the first time to reverse a completed $2bn-plus deal, months after Meta had folded Manus's team into its Singapore office.

    Money & business · Government & policy · Labs & people

  6. CoreWeave and Meta sign $21bn expanded AI infrastructure agreement

    CoreWeave and Meta expanded their partnership in a deal worth about $21bn through 2032, including early deployment of Nvidia's next-generation Vera Rubin platform.

    Compute & infrastructure · Money & business

  7. Meta launches Muse Spark, its first closed frontier model

    Led by former Scale AI chief Alexandr Wang, the model is proprietary and API-only, reversing the open-weight approach Meta had used for the Llama family.

    Models & capabilities · Open weights & ecosystem · Labs & people

  8. Meta unveils four-generation MTIA custom chip roadmap for AI inference

    The MTIA 300 chip is already in production for recommendation systems; three further generations through 2027 are aimed chiefly at generative-AI inference, built on PyTorch and OCP tooling.

    Compute & infrastructure

  9. Meta postpones 'Avocado' flagship model launch past Q1 2026

    Internal testing reportedly placed the model's reasoning, coding and writing between Google's Gemini 2.5 and Gemini 3, prompting Meta to push the launch to May 2026 or later.

    Labs & people · Models & capabilities

  10. Authors including John Carreyrou sue six AI companies over pirated training books

    Filing individually rather than joining a class action, the authors argued settlements like Anthropic's paid roughly $3,000 per book, far less than statutory damages could yield.

    Courts & copyright

  11. Yann LeCun announces departure from Meta

    Meta chief AI scientist Yann LeCun, who built FAIR in 2013, said he is leaving to found a world-models startup, reportedly Advanced Machine Intelligence Labs.

    Labs & people

  12. Meta cuts about 600 jobs in AI division as focus shifts to Superintelligence Labs

    Chief AI officer Alexandr Wang said fewer staff would speed decisions; the cuts spared the small TBD Lab team building Meta's next frontier models.

    Labs & people

  13. Meta unveils Ray-Ban Display AI glasses

    The $799 glasses paired an in-lens display with a wristband that reads muscle signals for silent, gesture-based control, and reached US retail stores at the end of the month.

    Models & capabilities

  14. FTC opens inquiry into AI chatbot companies over child safety

    Using compulsory 6(b) orders rather than requests, the FTC gave Alphabet, Meta, OpenAI, xAI, Snap and Character Technologies 45 days to hand over safety-testing and monetisation records.

    Security & misuse · Government & policy · Culture & impact

  15. Meta releases DINOv3

    Trained without labels on 1.7 billion images, the 7B-parameter vision backbone matched or beat specialised, task-trained models on detection and segmentation without fine-tuning.

    Open weights & ecosystem · Models & capabilities

  16. Reuters reveals leaked Meta document permitted AI chatbots romantic conversations with children

    The 200-page standards document, signed off by Meta's legal, policy and chief ethicist, also permitted racist arguments framed as factual and was later called an internal error.

    Security & misuse · Culture & impact

  17. Robby Starbuck and Meta settle AI defamation lawsuit

    Meta AI's chatbot had falsely told users Starbuck took part in the January 6 riot and belonged to QAnon; he becomes a paid adviser on the company's bias-reduction efforts.

    Courts & copyright

  18. European Commission publishes GPAI Code of Practice

    Twenty-one companies signed the voluntary code covering transparency, copyright and safety; xAI signed only the safety chapter and Meta announced days later it would not sign at all.

    Government & policy

  19. Scale AI left confidential AI-training documents for Google, Meta and xAI publicly accessible

    Business Insider found at least 85 unsecured Google Docs, some editable, exposing client instructions, contractor pay disputes and private email addresses; Scale AI disabled public sharing in response.

    Security & misuse

  20. Zuckerberg announces Meta Superintelligence Labs

    In an internal memo, Zuckerberg called Wang 'the most impressive founder of his generation' and named eleven newly hired researchers poached from OpenAI, Google and Anthropic.

    Labs & people

  21. Anthropic publishes 'Agentic Misalignment' research

    Blackmail rates in the corporate-espionage scenario ran 79-96% across models from every developer tested, but Anthropic said the setup deliberately removed nuanced alternatives that a real deployment would offer.

    Safety & alignment · Security & misuse

  22. Meta pays $14.3 billion for half of Scale AI and its founder

    The deal valued Scale at over $29bn for a non-voting 49% stake, and made Wang, 28, Meta's first Chief AI Officer.

    Money & business · Labs & people

  23. ARC Prize compares reasoning models with no clear winner

    ARC-AGI-2 remained unsolved by every system tested, and which model looked best depended entirely on whether accuracy or cost per task was prioritised.

    Benchmarks & progress

  24. Meta unveils Aria Gen 2 research smart glasses

    The 74-76g device doubled Gen 1's cameras to four, widened stereo overlap from 35° to 80°, and added a heart-rate sensor, but stayed a researcher-only tool.

    Models & capabilities

  25. Meta accused of gaming LMArena with tuned Llama 4 Maverick variant

    The version ranked second on the leaderboard, labelled 'Llama-4-Maverick-03-26-Experimental', produced longer, emoji-heavy answers than the model Meta actually shipped for download.

    Benchmarks & progress · Open weights & ecosystem

  26. Llama 4 lands badly

    Meta's mixture-of-experts release was undercut by accusations that a version tuned for LMArena differed from the public weights.

    Open weights & ecosystem · Benchmarks & progress · Models & capabilities

  27. Meta's FAIR chief Joelle Pineau announces departure

    Meta said it had no immediate replacement lined up; AI research had already been reorganised to report to chief product officer Chris Cox rather than to Pineau's role.

    Labs & people

  28. Meta publishes its Frontier AI Framework

    Meta defined thresholds for 'high-risk' and 'critical-risk' systems in cyber and biological-weapons scenarios, and said it would halt development of any model it could not mitigate to below critical risk.

    Ideas & essays · Government & policy · Open weights & ecosystem

  29. Cisco researchers report DeepSeek R1 fails all HarmBench jailbreak tests

    Researchers ran 50 automated HarmBench prompts against six models; DeepSeek R1 refused none of them, while OpenAI's o1-preview refused the most.

    Security & misuse

  30. Texas AG investigates Character.AI and Meta over child-safety claims

    Fifteen companies including Reddit and Discord were investigated under Texas's SCOPE Act and data-privacy law over how they handle children's personal data, not over chatbot content itself.

    Courts & copyright

  31. Apollo Research publishes 'Frontier Models are Capable of In-context Scheming'

    In contrived tests, o1 sustained a cover story through more than 85% of follow-up interrogation questions, and one model schemed toward being 'helpful' without being told to.

    Ideas & essays · Safety & alignment · Security & misuse

  32. Meta reports removing 20 covert AI-linked influence operations around 2024 elections

    Meta said its image generator alone rejected 590,000 requests for election-related deepfakes of US political figures in the month before the vote.

    Security & misuse

  33. Reuters reports Chinese military-linked researchers built defence chatbot on Meta's Llama

    The June paper Reuters reviewed said the fine-tuned tool, built on Llama 2 13B with about 100,000 military dialogue records, performed at roughly 90% of GPT-4's capability.

    Security & misuse · Open weights & ecosystem

  34. Meta FAIR shares five research releases including SAM 2.1 and Spirit LM

    Meta FAIR released SAM 2.1, the speech-text model Spirit LM, Layer Skip, SALSA and Meta Open Materials 2024 in a single open-research drop.

    Open weights & ecosystem · Models & capabilities

  35. Meta releases Movie Gen video and audio foundation models

    A 30B-parameter video model paired with a 13B-parameter audio model produced clips up to 16 seconds with synchronised sound; Meta called it research, not a product.

    Models & capabilities

  36. Newsom vetoes California's SB 1047

    The bill would have required safety protocols and shutdown capability for models above a compute threshold; Newsom said it regulated size rather than risk.

    Government & policy

  37. Meta releases Llama 3.2 with vision and edge models

    The 11B and 90B versions were Meta's first Llama models to accept images, while 1B and 3B text-only models were built for on-device use with a 128K-token context window.

    Open weights & ecosystem · Models & capabilities

  38. Meta releases Segment Anything 2 (SAM 2)

    Released with the SA-V dataset of roughly 51,000 videos and 600,000+ masklets, more than four times the video count of the largest prior public segmentation dataset.

    Open weights & ecosystem · Models & capabilities

  39. Meta releases Llama 3.1 405B

    Trained on over 15 trillion tokens with 16,000 H100 GPUs; Meta reported it competitive with GPT-4, GPT-4o and Claude 3.5 Sonnet, though the licence still barred some commercial uses.

    Open weights & ecosystem · Models & capabilities

  40. Microsoft discloses 'Skeleton Key' generative AI jailbreak technique

    Framing harmful requests as safety research and asking models to add a warning label rather than refuse worked against GPT-3.5, GPT-4o, Gemini Pro, Llama 3 and others; GPT-4 was comparatively resistant.

    Security & misuse

  41. Meta releases Llama 3 and puts its assistant everywhere

    8B and 70B open-weight models shipped alongside a much larger, still-training 400B+ version, as Meta AI rolled out across Facebook, Instagram, WhatsApp and Messenger.

    Open weights & ecosystem · Models & capabilities

  42. UK competition regulator warns on AI foundation model market concentration

    The regulator counted more than 90 partnerships and investments linking six firms — Google, Apple, Microsoft, Meta, Amazon and Nvidia — across the foundation-model supply chain.

    Government & policy

  43. Meta releases V-JEPA

    Trained without labels, the model learned by predicting masked video regions in representation space, distinguishing fine-grained actions over roughly ten-second clips.

    Open weights & ecosystem · Models & capabilities · Ideas & essays

  44. Meta launches Purple Llama for open model safety tooling

    Meta launched Purple Llama, an umbrella project including the Llama Guard safety classifier and CyberSecEval cybersecurity benchmarks for open generative AI.

    Open weights & ecosystem · Safety & alignment

  45. GAIA, a benchmark for general AI assistants, is released

    466 questions that are simple for a person but need browsing, tools and multi-step reasoning to solve; GPT-4 with plugins scored 15% against a 92% human baseline at release.

    Benchmarks & progress

  46. Meta releases Code Llama

    Released in four sizes up to 70B parameters under Llama 2's licence, the largest variant reportedly matched ChatGPT on the HumanEval coding benchmark.

    Open weights & ecosystem

  47. Meta releases AudioCraft (MusicGen, AudioGen, EnCodec)

    Meta published weights and code for all three models, extending its open-release strategy from language models into audio and music generation.

    Open weights & ecosystem · Models & capabilities

  48. Seven labs sign voluntary safety commitments at the White House

    Amazon, Anthropic, Google, Inflection, Meta, Microsoft and OpenAI pledged security testing and watermarking, with no enforcement mechanism and no penalty for non-compliance.

    Government & policy

  49. Meta releases Llama 2 for commercial use

    Weights published under a licence permitting most commercial deployment, formalising what the Llama leak had already made true.

    Open weights & ecosystem

  50. Authors begin suing over training data

    Comedian Sarah Silverman and novelists Richard Kadrey and Christopher Golden filed separate suits in California, seeking class-action status against both companies.

    Courts & copyright

  51. Meta releases I-JEPA

    Trained on unlabelled images by predicting abstract representations rather than pixels, the 632-million-parameter model reportedly matched state-of-the-art low-shot accuracy using far less compute than rival methods.

    Open weights & ecosystem · Models & capabilities · Ideas & essays

  52. Mistral AI raises a record European seed round

    Founders Arthur Mensch, Timothée Lacroix and Guillaume Lample had no product and no plans to ship one before 2024; investors backed the team alone.

    Money & business · Labs & people

  53. Meta releases ImageBind

    Rather than needing paired training data across every modality combination, the model used images as a bridge to align the other five to a shared space.

    Open weights & ecosystem · Models & capabilities

  54. Meta releases Segment Anything Model (SAM)

    Trained on 1.1 billion masks across 11 million images, the largest segmentation dataset built to date, and released under an Apache 2.0 licence.

    Open weights & ecosystem · Models & capabilities

  55. Stanford's Alpaca fine-tunes LLaMA for a few hundred dollars

    Instruction-following behaviour was reproduced for under $600 total by fine-tuning Meta's 7B LLaMA on GPT-3.5-generated examples; the public demo was pulled within days.

    Open weights & ecosystem · Ideas & essays

  56. Meta releases LLaMA to researchers, and it leaks within a week

    Meta shared a competitive foundation model with approved researchers; the weights appeared on BitTorrent days later and an open ecosystem formed around them.

    Open weights & ecosystem · Models & capabilities

  57. Toolformer teaches models to call APIs

    The model taught itself, from only a handful of examples per tool, when to call a calculator, search engine, translator or calendar and how to use the result.

    Ideas & essays

  58. Meta's Cicero plays Diplomacy at human level

    Playing anonymously against humans on webDiplomacy.net, Cicero scored more than double the average player's points across 40 games.

    Models & capabilities

  59. Meta pulls Galactica after three days

    Its errors were formatted exactly like real citations and papers, so only an expert reader could tell fabrication from fact — a distinct failure mode from earlier chatbots' obvious mistakes.

    Models & capabilities · Culture & impact

  60. Meta and Google race to text-to-video

    Make-A-Video and Imagen Video appeared within a week of each other, both as research previews with no public access.

    Models & capabilities

  61. Meta open-sources No Language Left Behind translation model

    Meta open-sourced NLLB-200, a single model translating between 200 languages including many low-resource languages, plus the FLORES-200 benchmark.

    Open weights & ecosystem · Models & capabilities

  62. Yann LeCun publishes 'A Path Towards Autonomous Machine Intelligence'

    The Meta chief scientist proposed non-generative 'joint embedding predictive architectures' as a route to machine intelligence, arguing autoregressive LLMs were a dead end for reasoning and planning.

    Ideas & essays

  63. Meta releases OPT-175B with its training logbook

    A GPT-3-scale model shared with researchers alongside an unusually candid record of what went wrong during training.

    Open weights & ecosystem · Models & capabilities

  64. Meta unveils the AI Research SuperCluster

    A 6,080-GPU first phase, to reach 16,000 GPUs and a claimed 5 exaflops of mixed-precision compute by mid-2022, built for training on trillions of examples.

    Compute & infrastructure · Labs & people

  65. Meta shuts down its face recognition system

    Facebook deleted over a billion facial templates, citing unresolved regulation, but kept the door open to narrower uses such as identity verification.

    Government & policy · Culture & impact

  66. Facebook renames itself Meta

    Facebook, Instagram and WhatsApp kept their names as apps under a new holding company, announced alongside a $150 million investment in immersive learning tools.

    Labs & people · Money & business

  67. Facebook releases the Blender chatbot

    Released in three sizes up to 9.4 billion parameters, with weights and code made public rather than kept behind an API.

    Models & capabilities · Open weights & ecosystem

Also mentioned in 68 entries

Referenced in passing — Meta AI isn't the main subject of these.