{"version":1,"type":"story","url":"https://digestai.news/story/ai-news-10-16-meta-and-apple-join-forces-the-era-of-running-816b-massi","json":"https://digestai.news/story/ai-news-10-16-meta-and-apple-join-forces-the-era-of-running-816b-massi.json","markdown":"https://digestai.news/story/ai-news-10-16-meta-and-apple-join-forces-the-era-of-running-816b-massi.md","slug":"ai-news-10-16-meta-and-apple-join-forces-the-era-of-running-816b-massi","headline":"[AI News 10/16] Meta and Apple join forces. The era of running 816B massive AI on Macs is here. New announcements from NVIDIA, CERN, and Amazon|Haruki|AIを試す大学生","summary":"The model supports multimodal, coding, AI‑agent and long‑duration reasoning tasks and can handle up to 1 million tokens. Meta and Apple collaborated to optimise the model for Apple Silicon, and Apple’s research shows that a configuration of four Mac Studios can generate 36.73 tokens per second.\n\nNVIDIA claims the Super VL is up to five times faster than competing models.\n\nCERN and Mistral plan a physics‑focused foundation model named \"Flare\" that will be trained on roughly 1 exabyte of collider data. Anthropic granted six external researchers from METR access to its internal safety tools, while the U.S. FTC requested documents from OpenAI and Anthropic about safety and consumer‑protection measures. Amazon introduced two wearable AI devices under its Personal AI brand, \"Bee\", priced at $74.99 and $99.99 respectively.","keyPoints":["CERN and Mistral plan Flare, a physics‑focused foundation model trained on ~1 exabyte of collider data"],"whyItMatters":"These moves could reshape data privacy, research workflows, and the competitive landscape.","category":{"slug":"models","name":"Generative AI & Models","url":"https://digestai.news/category/models"},"entities":{"companies":["Meta","Apple","NVIDIA","CERN","Anthropic","Amazon"],"models":["Muse Spark Open","Nemotron 3.5 Super VL","Nemotron 3.5 Bolt 74B-A9B","Nemotron 3.5 Bolt E4B","Flare"],"people":[]},"firstPublishedAt":"2026-10-15T17:56:00Z","updatedAt":"2026-10-15T17:56:00Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"note.com","title":"[AI News 10/16] Meta and Apple join forces! The era of running 816B massive AI on Macs is here. New announcements from NVIDIA, CERN, and Amazon|Haruki|AIを試す大学生","url":"https://note.com/real_rail8101/n/n22e367adb93e?hl=en","publishedAt":"2026-10-15T17:56:00Z","type":"press","primary":false,"lead":true}],"sourceNotes":null,"discussions":[],"thread":{"title":"Nvidia Anthropic AI Infrastructure Expansion","url":"https://digestai.news/thread/opinion-amazon-may-benefit-more-than-alphabet-from-anthropics-2-trillion-ipo","storyCount":9},"cite":{"text":"Digest AI, \"[AI News 10/16] Meta and Apple join forces. The era of running 816B massive AI on Macs is here. New announcements from NVIDIA, CERN, and Amazon|Haruki|AIを試す大学生\", 15 October 2026, https://digestai.news/story/ai-news-10-16-meta-and-apple-join-forces-the-era-of-running-816b-massi","publisher":"Digest AI","title":"[AI News 10/16] Meta and Apple join forces. The era of running 816B massive AI on Macs is here. New announcements from NVIDIA, CERN, and Amazon|Haruki|AIを試す大学生","datePublished":"2026-10-15T17:56:00Z","url":"https://digestai.news/story/ai-news-10-16-meta-and-apple-join-forces-the-era-of-running-816b-massi"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}