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The ten smartest AI models carry only 6% of the traffic on an open platform.
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At a glance
Technology company behind Facebook, Instagram and other social platforms. This topic includes Meta AI within the broader company, covering products, research and business decisions.
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- Social platforms; Meta AI
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- Meta
Reviewed 19 October 2026. Dates retain the precision of the source; retrospective disclosures are identified in the event. Meta consolidated revenue is not labelled AI ARR. Open-weight model availability and commercial licensing are distinct.
Company milestones
Revenue, funding, product launches and major company events, newest first. Expand the earlier milestones for more history.
Introduces Muse for Small Business
Meta extends its personal-agent offering to business workflows, connecting professional Instagram accounts, Facebook Pages and advertising accounts.
Source: MetaIntroduces the Muse personal AI agent
The initial US rollout supports tasks and longer-term plans through a dedicated app and WhatsApp, extending Meta beyond chatbot interactions.
Source: Meta
Show earlier milestonesHide earlier milestones2026–2004 · 8 milestones
Earlier revenue, financing and company milestones.
Q2 revenue reaches $60.8B
Quarterly revenue grows 28% year over year. Meta’s advertising-led company revenue is not presented as standalone AI revenue.
Source: Meta2025 annual revenue reaches $200.97B
Full-year revenue grows 22%; fourth-quarter revenue reaches $59.89B. These are consolidated financial results, not model ARR.
Source: MetaReleases Llama 4 Scout and Maverick
The model family adds native multimodal capabilities. The separately described Behemoth teacher is not treated as a released consumer model.
Source: MetaExpands Meta AI with Llama 3
The assistant becomes more widely integrated across Meta’s apps, alongside the Llama 3 model release.
Source: MetaLlama 2 broadens commercial model access
Meta’s second-generation model expands its open-weight ecosystem through cloud and developer partnerships.
Source: Meta retrospectiveAdopts the Meta company name
Facebook introduces a new corporate identity; Facebook remains a product within the wider group.
Source: MetaEstablishes FAIR
Facebook launches its AI research team in late 2013, building an open-research organization that later supports Meta’s model and AI-platform work.
Source: Meta retrospectiveFacebook launches
The social network provides the foundation for the group’s later apps, advertising infrastructure and AI research investment.
Source: Meta retrospective
The latest on Meta
Newest firstRelated reporting
Briefs, articles and relevant sections, newest first. Explore older coverage below.
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Muse Shoppers Blew Past Meta's Stripe Limits
Meta plans to take a cut of sales Muse closes, but the agent is costly enough to run that it stays in two countries.
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Google's TPUs Now Serve AI at Meta
Meta, which created PyTorch and canceled TPU contracts in 2023, now runs Google's chips in production through a new PyTorch-native inference engine.
8 min read · Members
OpenClaw's Creator Burns $10M a Month
Plus: Humans Were the Bug, Giants Wants Free Chatters to Pay
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Zuckerberg Threatened to Leave, Got Class C
Facing a possible California wealth tax, Zuckerberg threatened to move; Meta answered with non-voting Class C stock he can sell without losing votes.
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Meta's AI Spending Pushes Cash Flow Negative
Meta narrowed its 2026 capex range to $135 billion to $145 billion as free cash flow went negative, and plans to monetize Muse early.
7 min read · Members
Scammers Just Lost to Agents
Plus: Electricity Now Picks AI's Tenants, Grok Testified Against SpaceXAI
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Meta Explains How It Built Muse Glimmer
Meta's Glimmer report shows a dense 30B model that wins 15 of 28 tests, loses four agentic tests to Qwen and ships under Apache 2.0.
1 min read · Members
WhatsApp Told Its Bot to Skip Regulators
Hidden notes on WhatsApp help pages told Meta's support bot not to recommend regulators. WhatsApp blamed a bug for showing them, then defended them.
1 min read · Members
Meta Says Prometheus Trained Its Muse Models
Meta says its Ohio supercluster trained Muse after cutting interruptions 99%, with spare GPUs in every rack and a 1 million GPU plan.
