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  • https://pbs.twimg.com/media/HO-59jQaoAA_JZ1?format=jpg

    Very interesting they have a way cheaper "contributor" version "used to improve our products", how much of that is price discrimination vs the data being that valuable?

    Roughly DeepSeek V4 Flash pricing, though you can get V4 from providers that don't train on your data

  • Unfortunately I find this too high risk, I entered my credit card, but can not set a limit. The best I can do is get an email alert. I feel like I am one oopsie away from getting a 100 dollar bill.
  • Stunning to see so many comments here very eager to try it out and cheering for it. Meta is not one bit better (and in reality worse) than Larry Elisson or Palantir but I doubt we'd be seeing this if it'd be Oracle Code or Palantir Code.

    Though I guess that there's such a big population of (ex-)Meta employees here that this might explain it.

  • Meta, please go back to publishing weights. Your models aren't top-tier, this wouldn't hurt you at all at your current position in the rankings. They wouldn't have the best open-weight models, but the best western open-weight models.
  • If you got the $20 in free credits from Meta for signing up when muse-spark-1.1 was release, please note that there's now small print stating "While using free credits your content may be used for product improvement" which was not present at muse-spark-1.1 launch when the credits were given out.

    If you don't mind Meta retaining your data, the "Contributor" pricing is deepseek-v4-flash-level of low, roughly 1/10th normal muse-spark API pricing currently. Attractive if you're OK with them retaining and using your data.

  • They chose to compare against Open AI’s mid tier model Terra instead of Sol and still lost some benchmark against it.

    They left Opus in and got beat in all but one benchmark.

    Nothing wrong with trying to improve, but why the marketing games?

    Instead of trying to say in the post you’re “closer” to frontier, first set a clear goal to beat the Chinese labs on price or performance and demonstrate it convincingly.

    Then when your ready, come back and talk frontier without playing hide the model.

  • Meta is offering a 10x discount on input ($0.10 vs. $1.25/Mtok) and 20x discount on output ($0.20 vs. $4.25/Mtok) if you opt in to let them train on your data.

    https://developer.meta.com/ai/models/muse-spark/

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