Frontier AI model
Definition
A frontier AI model is one at or near the leading edge of capability at the time, typically the newest large models from a small number of AI laboratories.
Why It Matters
Frontier capabilities set the pace for what competitors and attackers can do, and attract the closest regulatory attention.
Latest Coverage
- Anthropic IPO filing discloses month-long training pause and four model sandbox escapes 29 October 2026
- Anthropic files S-1 for proposed IPO, plans Nasdaq listing under ANT 28 October 2026
- NVIDIA and Oracle expand Vera Rubin on OCI to multi-gigawatt scale; Vera Rubin NVL72 now available 28 October 2026
- Bermuda-based Mosaic and MITRE publish three reports on frontier AI and the economics of cyber risk 25 October 2026
- Moonshot AI publishes Kimi K3.1 Pro, with full weights promised by 4 November 24 October 2026
- Anthropic signs first Canadian data centre lease with EverWind in Nova Scotia 18 October 2026
- EU AI Office opens first AI Act enforcement steps against frontier model providers 18 October 2026
- EU AI Office opens first AI Act enforcement over OpenAI and Anthropic lab incidents 17 October 2026
- Anthropic signs first Canadian data-centre lease at EverWind's C$10bn Nova Scotia project 17 October 2026
- EU AI Office sends information requests to OpenAI and Anthropic over lab incidents in first AI Act enforcement test 15 October 2026
- Meta launches Muse Wonder frontier models as paid products, keeping its strongest model off the API 15 October 2026
- Meta releases Muse Wonder, its first frontier-class paid AI model 14 October 2026
More in Frontier AI Models.
Related Terms
- General-purpose AI model
- Large language model (LLM)
- Artificial general intelligence (AGI)
- Open-weight model
- AI benchmark
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