{"slug": "meta-introduces-muse-ember-to-power-cost-efficient-ai-agents", "title": "Meta introduces Muse Ember to power cost-efficient AI agents", "summary": "Meta Platforms Inc. introduced Muse Ember, an entry-level artificial intelligence model that the company says costs significantly less than competing models. Muse Ember is the first AI model Meta trained using Muse Wonder, the company's flagship large language model, though Meta did not specify which part of the workflow Muse Wonder automated. The release targets cost-efficient AI agents.", "body_md": "# Meta introduces Muse Ember to power cost-efficient AI agents\n\n[SiliconANGLE](https://siliconangle.com)\n\nMeta Platforms Inc. today introduced Muse Ember, an entry-level [artificial intelligence](https://www.machinebrief.com/glossary/artificial-intelligence) model that costs significantly less than the competition. Notably, it’s the first AI that the company trained using Muse Wonder. The latter algorithm is the Facebook parent’s flagship [large language model](https://www.machinebrief.com/glossary/large-language-model). Meta didn’t specify which part of the workflow it automated with Muse Wonder.  […]\n\nThe post [Meta introduces Muse Ember to power cost-efficient AI agents](https://siliconangle.com/2026/11/09/meta-introduces-muse-ember-to-power-cost-efficient-ai-agents/) appeared first on [SiliconANGLE](https://siliconangle.com).\n\nGet AI news in your inbox\n\nDaily digest of what matters in AI.\n\n## Key Terms Explained\n\n[Artificial Intelligence](https://www.machinebrief.com/glossary/artificial-intelligence)\n\nThe science of creating machines that can perform tasks requiring human-like intelligence — reasoning, learning, perception, language understanding, and decision-making.\n\n[Language Model](https://www.machinebrief.com/glossary/language-model)\n\nAn AI model that understands and generates human language.\n\n[Large Language Model](https://www.machinebrief.com/glossary/large-language-model)\n\nAn AI model with billions of parameters trained on massive text datasets.", "url": "https://wpnews.pro/news/meta-introduces-muse-ember-to-power-cost-efficient-ai-agents", "canonical_source": "https://www.machinebrief.com/news/meta-introduces-muse-ember-to-power-cost-efficient-ai-agents-8526", "published_at": "2026-11-10 01:38:35+00:00", "updated_at": "2026-11-10 01:50:47.259662+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-agents", "ai-products"], "entities": ["Meta Platforms Inc.", "Muse Ember", "Muse Wonder", "SiliconANGLE"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/meta-introduces-muse-ember-to-power-cost-efficient-ai-agents", "markdown": "https://wpnews.pro/news/meta-introduces-muse-ember-to-power-cost-efficient-ai-agents.md", "text": "https://wpnews.pro/news/meta-introduces-muse-ember-to-power-cost-efficient-ai-agents.txt", "jsonld": "https://wpnews.pro/news/meta-introduces-muse-ember-to-power-cost-efficient-ai-agents.jsonld"}}