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#Meta

All collected and published items, ordered by time. Picks are a selected subset.
Opinion

Viewpoints, commentary, analysis, interviews, and discussion of trends.

Today10/17Sat
  1. Alexandr Wang · X35

    Alexandr Wang Thanks Meta Superintelligence Labs for Reaching a Model-Building Milestone

    Alexandr Wang thanked Meta Superintelligence Labs’ research teams after a week of launches, including Muse Wonder [full] and Muse Spark open. He said MSL and TBD began a little more than a year ago with the goal of producing a frontier model within a year or so, despite the ambition of that target given where Llama 4 landed. Wang said the teams have also built a scalable system for continuing to advance models at the frontier.

10/16Fri
  1. Alexandr Wang · X30

    Alexandr Wang Reacts to @kirillk_web3’s Muse Spark Post

    @kirillk_web3 says Meta’s Llama 4 disappoints everyone, Meta goes closed with Muse Spark, Zuck writes a $100-200 billion check, Muse Wonder ships on Monday, and 3 days later Meta drops you with open weights: 816 billion parameters, only 42 billion active at a time. https://t.co/031gtR0nHm https://t.co/nEN1JMzvBa Alexandr Wang: “lmao muse spark open balling out” https://t.co/AcUT9o8NEQ

  2. The Verge · AI22

    Hollywood’s New Tech Films Take a Sharper View of Silicon Valley

    A new wave of films about Silicon Valley figures presents them more critically than earlier portrayals, reflecting audiences’ dimming views of Big Tech. The films include The Social Reckoning, which connects Facebook’s past decisions to current concerns about Meta’s influence, and Alex Gibney’s Musk documentary, which is screening in select theaters and has faced advertising restrictions. Luca Guadagnino’s Artificial and Nathan Fielder’s You Can See Everything also examine Sam Altman and Elizabeth Holmes, respectively.

  4. Nathan Lambert · X37

    Nathan Lambert Says He Needs to Blog After @AIatMeta Announces Muse Spark Open

    @AIatMeta says it is releasing Muse Spark Open, which it calls “the most capable US open-weight model to date.” The quoted post says the model is built for coding and agentic work and lists 816B total and 42B active parameters, plus a 1M token [context window](https://t.co/yAtoxNeYJm). Nathan Lambert reacts: “Okay now I really gotta blog 🎉” https://t.co/uKl5X18Xpw

  5. Nathan Lambert · X58

    Nathan Lambert predicts strong muse spark open adoption if reported scores hold up

    Nathan Lambert predicts adoption of muse spark open will surge if its performance roughly matches its reported scores, calling it the first US open-weight model with near-frontier agentic capabilities. He compares the shift with GLM 5.2 and Kimi K3 in China. In the quoted announcement, @alexandr_wang describes muse spark open as having 816B total params, 42B active, 1M-token context, and native multimodality, built for coding and agentic work. https://t.co/9elY7xigU5

  7. The Verge · AI70

    Friends don’t let friends feed their data to AI agents

    Janus Rose examines how Meta’s Muse can collect sensitive information about users and their contacts, raising consent concerns for people who never installed the assistant. Privacy experts argue that permission interfaces obscure the scope of data sharing, while Meta says access is opt-in. The article also explains how uploading messages after decryption can undermine the privacy protections encrypted communications are intended to provide.

10/15Thu
10/14Wed
  1. Alexandr Wang · X35

    Alexandr Wang Says Muse Wonder Is Fast and Token-Efficient

    @merge_api says Muse Wonder completes an average task in 6.8 minutes, compared with 13.2 minutes for Claude Opus 5.5 and 15.3 minutes for Claude Sonnet 5.5. The quoted post says the scores are 52.4, 57.6, and 56.0, respectively. Alexandr Wang calls Muse Wonder “super fast and token efficient” and says, “give it a go!” https://twitter.com/merge_api/status/2110385332046762163

  5. Alexandr Wang · X48

    Alexandr Wang Shares a Cheeky Muse* Post About Muse Wonder

    Alexandr Wang’s post says Mark Zuckerberg and Wang came to the pub to discuss Muse Wonder, described in the quoted post as their new frontier model. The post lists discussion topics including Muse Wonder, how frontier models are built, agentic commerce, and Meta Superintelligence Labs. Wang adds that the cheeky Muse* was made with Muse Wonder.

  6. The Verge · AI58

    Ray-Ban Meta Audio glasses review: I don’t miss the camera

    Victoria Song finds the camera-free Ray-Ban Meta Audio glasses comfortable and useful as open-ear headphones, while finding Muse Spark helpful mainly for simple requests and reminders. Her review unit lasted two full workdays without returning to its case, but audio suffered from sound leakage and loud surroundings. Removing the camera eased her discomfort wearing smart glasses in public, though she argues that it does not resolve broader privacy concerns and finds the glasses expensive for their current capabilities.

  7. Alexandr Wang · X54

    Alexandr Wang Highlights Early User Impressions of Muse Wonder in Muse

    Alexandr Wang says the top use case when building Muse Wonder was serving consumers in Muse and welcomes users enjoying the upgrade. In the quoted post, @_simonsmith reports no noticeable personality or writing regressions versus Spark, better UI judgment, and detection of subtle code bugs. Smith remains unsure whether Wonder also powers background tasks such as goal summaries and the news feed.

10/13Tue
  1. 宝玉 · X50

    Muse fixes unusually fast quota usage and resets muse code

    Alexandr Wang says the issue causing unusually fast quota usage for muse wonder and muse wonder full has been identified and fixed. Users will now see much lower usage against their limits. Wang also announces a muse code reset, as promised after the fix. Baoyu comments that Muse now has enough users that he feels awkward saying Meta also reset limits in an unnoticed corner. 😅

  7. Alexandr Wang · X46

    Alexandr Wang calls a Muse Wonder game a “banger”

    @bubbleboi said Muse downloaded Blender and a facebuilding tool, found an image of Mark Zuckerberg, and is emulating Metal Gear Solid V on an M3 MacBook Pro to put Zuckerberg’s face on Venom Snake. @bubbleboi also said Muse completed a Minecraft task in a browser. Alexandr Wang reacted: “tbh seems like muse wonder made a banger game”

  16. Alexandr Wang · X32

    Alexandr Wang Posts “MUSE WONDER”

    🍉 MUSE WONDER 🍉 @hdubugras says Alex and Meta are on a roll, and that the model has replaced Astra/Opus in a variety of their workflows. They say it handles day-to-day tasks efficiently and quickly, and offer congratulations. Alexandr Wang’s reaction: “🍉 MUSE WONDER 🍉”