Meta Model API
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- Meta launches Muse Ember for cost-efficient agent tasks
Meta launched Muse Ember, its smallest and most efficient model, for repeated agent work such as tool calls, coding subtasks, routing, extraction, and long-document parsing. The hosted model supports native text, image, audio, and video inputs, a 1-million-token context window, and is available through Meta Model API and Muse Code. Artificial Analysis measured a 35.8 score at maximum reasoning versus 36.2 for Claude Haiku 5.5, while Meta says Muse Ember completes tasks at about one-third of the latter’s cost.
Hacker News 首页(100+ 分) · 🔥 100 - Meta ships Muse Wonder-trained specialized models to Muse and Meta AI
Meta announced on November 6 that specialized models trained with its frontier Muse Wonder series are now rolling out to Muse and Meta AI, bringing over the Active Memory and Active Focus capabilities first introduced with Muse Wonder. Meta says Active Memory helps models recognize when earlier information still matters and separate it from stale context, while Active Focus helps them recover from setbacks or find alternatives when constraints change. Meta's internal evaluations report a 2.4x reduction in forgetting goal-critical information, a 67% improvement in getting unstuck as constraints evolve, 90% correct use of critical context versus 76% for previous models, and a Personal Superintelligence Index score of 47% up from 38%.
AI at Meta (X) · 🔥 6 - Meta Unveils Muse Models After Revealing $100B–$200B AI Infrastructure Commitment
Mark Zuckerberg said in a Bloomberg report that Meta committed to spending $100 billion or $200 billion on AI infrastructure in 2025 before it knew whether its AI products would succeed. Separately, Meta announced Muse Wonder and Muse Wonder Full, describing them as its most capable models to date for coding, complex reasoning, autonomous tasks, document analysis and financial research. Muse Wonder is available through Meta’s Model API and Muse Code, while Muse Wonder Full is limited to Muse Code subscribers; Meta has not announced separate API access for the latter.
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