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@jackk
got my mind on ai and ai on my mind. slinging tokens on @aiatmeta
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A user jokes that updated token efficiency in Muse Code is the only thing better than Muse Wonder Full.
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Meta says Muse Wonder launched through its Model API and Muse Code, while Full was available to Muse Code subscribers.
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A post highlights the update for business owners who manage multiple domains.
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A user claims using @Muse can save $2,000 or more on car insurance.
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A September 29 launch post presents the connectors as a way to help businesses run, grow and create new opportunities.
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In a September 28 post, Meta's AI account listed 10 names from the previous six months, including Muse Image, Muse Video and Muse Glimmer.
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The announcement points developers to dev.meta.ai for direct API access, or to their preferred provider.
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One post captures the contrast: “Simple on the surface, crazy complex under the hood.”
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One post calls for tight defenses and third-party testing, warning that platforms like MUSE will be “the ultimate attack vector.”
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One post praises Muse as a solid AI assistant but says many readers distrust Meta. The author argues that its architecture reduces the need for that trust.
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A user testing the three bots says Muse was consistently 2–3 times faster on the same tasks, but even simple requests still took more than five minutes.
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One user says Muse called five Tesla locations at once and found a Model YL to view. Another says it bought school portraits and organized them in Google Drive.
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The post describes agents moving between people and the software they use—and argues that most companies aren't ready for the shift.
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Official AI at Meta account retweets ValsAI post on model benchmark results.
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Meta AI executive announces public release of updated model with performance claims.
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Meta executive Jack Krawczyk posted a schedule of three Muse product updates this week.
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The post points readers to dev.meta.ai with a brief suggestion to give Muse Code a try.
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Artificial Analysis calls out its edge on cost per intelligence task.
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Retweet by Meta executive highlights release of updated model from Xiangning Chen.
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First streaming audio model from Meta Superintelligence Lab does real-time ASR with diarization.
