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digital-ai
Meta – AI research: Llama open weights ecosystem and Meta Superintelligence Labs.
Meta can turn model progress into product surface area across feeds, messaging, glasses, ads, and developer ecosystems.
Directs Meta's next-generation superintelligence initiatives and the unified MSL research lab.
Pioneered Convolutional Neural Networks (CNNs) and leads long-term AGI theory and world models research.
Meta launches Muse Spark, a proprietary 4D world model trained on first-person video and spatial data for advanced situational reasoning.
Meta acquired a 49% non-voting stake in Scale AI for $14.8B to secure a 5-year data deal (at least $450M/year spend), with Scale founder Alexandr Wang joining Meta to lead Meta Superintelligence Labs (MSL). Rivals Google and OpenAI began winding down Scale AI usage over security concerns.
Meta officially launches Llama 4 Scout (109B parameter MoE) and Llama 4 Maverick (400B parameter MoE), featuring advanced open-weight architectures.
Meta releases Llama 3.3, upgrading the 70B model size to Llama 3.1 405B intelligence levels at significantly reduced inference cost.
Meta releases Llama 3.2, introducing multimodal vision capabilities (11B/90B) and ultra-lightweight models (1B/3B) for edge devices.
Meta releases Llama 3.1, introducing the massive 405B parameter flagship alongside 8B/70B upgrades, expanding the context window to 128k.
Meta launches Llama 3 in 8B and 70B sizes, showing huge logical gains over Llama 2 via high-quality dataset curation.
Meta launched its consumer AI assistant across Instagram, WhatsApp, Messenger, and Facebook with Llama-family backing.
Meta releases Llama 2 in partnership with Microsoft, offering open weights for commercial and research use across 7B, 13B, and 70B sizes.
Meta releases its first series of open models (7B to 65B) to researchers, whose weights are quickly leaked to the public.