#Meta

Exciting news: Muse Wonder Full (Max) by @AIatMeta has just debuted in the Code Arena: WebDev at #6 overall with 1726 pts, putting Meta in the top 3 labs! This is +75 pts and 11 places above Muse Wonder (Max) at #17 (1651 pts), and +67 pts and 8 places above Muse Spark 1.3 (Max) at #14 (1659 pts). Muse Wonder Full (#6) also landed +16 pts above Claude Sonnet 5.5 (#17), and +48 pts above Gemini 4 Argon (#10). With this score, Muse took the #3 lab spot (previously held by Google). Across categories, Muse Wonder Full (Max) landed: - #4 in Data & Analytics and in Consumer Product - #5 in Brand & Marketing - #6 in Content Creation Tools - #7 in Gaming and in Simulations - #8 in Reference-Based Design Congrats to the @AIatMeta team and @alexandr_wang on this release!

Great Muse use case unlocked. Now reads all emails and app comms from my kids school and tells me any forms and events I need to know. Been a pain to track for years.

DAILY AI BRIEF 🗞 — Oct 19 OPENAI 🔥: - OpenAI is testing new "Aurora" image models on Arena after aurora-red, green and blue alpha references briefly appeared in its API. - The Codex desktop app now lets you edit previous messages within a thread. - Replit has made OpenAI its default model provider over Anthropic. ANTHROPIC 🔥: - Anthropic is committing 5% of its shares to the new Anthropic Public Benefit Fund. - Claude Fable 5.5 is reportedly preparing for the launch, with traces found in Azure, third-party tools, and partner testing. - Claude is preparing a Personal Finance feature, formerly codenamed "Claude Money", that analyzes bank data through Plaid and builds dashboards. NVIDIA 🔥: - NVIDIA GTC Berlin runs Oct 20–22, with Jensen Huang's keynote at the Tempodrom on Oct 21. MINIMAX 🔥: - MiniMax teased the upcoming MiniMax-M3.1-Flash. It is now being rolled out on the APIs. OPENCODE 🔥: - OpenCode said a distillation attack drained the OpenAI, Anthropic, and Google API balances of about 1.4% of its users. * Used Grok to compose this brief, cherry-picking the news and doing some post-editing.

Today we published a technical report on Muse Glimmer, our 30B open-weight model built for agentic tasks on consumer hardware. It runs at practical speeds on a Mac or PC with a single consumer GPU at 4-bit precision, and leads comparably-sized open models on tool use and multi-step planning. Read about the model architecture, distillation recipe, quantization and more: https://go.meta.me/4Bcvxol

Another fantastic use case for personal agents: study prep I'm preparing for a technical certification right now, and I've trained my @Muse agent on all of the prep exams / materials. Then, I have it sending me random pop questions throughout the day, tracking my progress. After weeks of not being able to find hours to sit down and study, this method has worked very well for me: about a question or two each hour of the day, outside of the meetings that I am in (it knows my calendar). Highly recommend!

由 @AIatMeta 推出的 Muse Wonder (Max) 已进入 Code Arena：WebDev 以 1651 分位列第 15，Text Arena 以 1513 分位列第 2！ 在 Code Arena：WebDev 中，Muse Wonder (Max) 以 1651 分位列第 15。这一结果略低于以 1659 分位列第 12 的 Muse Spark 1.3 (Max)，与以 1655 分位列第 14 的 Kimi K3 (Max) 相差 4 分以内，并比以 1640 分位列第 16 的 Grok 4.7 (xHigh) 高 11 分。 此次发布在 Text Arena 中相较过去的 Muse 模型有显著提升。与以 1494 分位列第 11 的 Muse Spark 1.3 (Max) 相比，Muse Wonder (Max) 提升了 +19 分并上升 9 位至第 2。它落后于以 1525 分排名第 1 的 Gemini 4 Argon (High) 12 分。 祝贺 @AIatMeta 团队发布这一版本！