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    Google AI Ultra

    (blog.google)
    320 points mfiguiere | 12 comments | 20 May 25 18:20 UTC | HN request time: 1.13s | source | bottom
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    charles_f ◴[20 May 25 20:08 UTC] No.44045393[source]▶
    This is the kind of pricing that I expect most AI companies are gonna try to push for, and it might get even more expensive with time. When you see the delta between what's currently being burnt by OpenAI and what they bring home, the sweet point is going to be hard to find.

    Whether you find that you get $250 worth out of that subscription is going to be the big question

    replies(5): >>44045528 #>>44045820 #>>44045959 #>>44046010 #>>44058223 #
    Ancapistani ◴[20 May 25 20:22 UTC] No.44045528[source]▶
    I agree, and the problem is that "value" != "utilization".

    It costs the provider the same whether the user is asking for advice on changing a recipe or building a comprehensive project plan for a major software product - but the latter provides much more value than the former.

    How can you extract an optimal price from the high-value use cases without making it prohibitively expensive for the low-value ones?

    Worse, the "low-value" use cases likely influence public perception a great deal. If you drive the general public off your platform in an attempt to extract value from the professionals, your platform may never grow to the point that the professionals hear about it in the first place.

    replies(6): >>44045906 #>>44045964 #>>44046505 #>>44047071 #>>44050638 #>>44052117 #
    1. jsheard ◴[20 May 25 21:10 UTC] No.44045964[source]▶
    I wonder who will be the first to bite the bullet and try charging different rates for LLM inference depending on whether it's for commercial purposes. Enforcement would be a nightmare but they'd probably try to throw AI at that as well, successfully or not.
    replies(3): >>44046230 #>>44047061 #>>44048952 #
    2. chis ◴[20 May 25 21:44 UTC] No.44046230[source]▶
    I think there are always creative ways to differentiate the two tiers for those who care.

    “Free tier users relinquish all rights to their (anonymized) queries, which may be used for training purposes. Enterprise tier, for $200/mo, guarantees queries can only be seen by the user”

    replies(4): >>44046418 #>>44046476 #>>44047192 #>>44049566 #
    3. emzo ◴[20 May 25 22:07 UTC] No.44046418[source]▶
    This would be great for open source projects
    4. jfrbfbreudh ◴[20 May 25 22:14 UTC] No.44046476[source]▶
    This is what Google currently does for access to their top models.

    AI Studio (web UI, free, will train on your data) vs API (won’t train on your data).

    replies(2): >>44046994 #>>44049437 #
    5. koakuma-chan ◴[20 May 25 23:39 UTC] No.44046994{3}[source]▶
    Can't train on my data if all my data is produced by them.
    6. chw9e ◴[20 May 25 23:52 UTC] No.44047061[source]▶
    probably the idea behind the coding tools eventually. cursor charges a 20% margin on every token for their max models but people still use them
    7. ethbr1 ◴[21 May 25 00:21 UTC] No.44047192[source]▶
    The bigger commercial / enterprise differentiator will probably be around audit and guardrails.

    Unnecessary for individual use; required for scaled corporate use.

    replies(1): >>44050628 #
    8. beefnugs ◴[21 May 25 06:54 UTC] No.44048952[source]▶
    I think the real problem is that is even an option. I am not a good businessman, but i have seen good ideas fail because the company depends upon the good graces of another company. If someone can decide to just fuck you over for any reason, it will happen sooner or later

    Sending all your core IP through another company for them to judge your worthiness of existence, is a nightmare on so many levels , the biggest example being payment processors trying to impose their religious doctrine on entire populations

    9. 42lux ◴[21 May 25 08:31 UTC] No.44049437{3}[source]▶
    If you use the API for free the data is used for training.
    10. otabdeveloper4 ◴[21 May 25 08:54 UTC] No.44049566[source]▶
    > guarantees queries can only be seen by the user

    The only way to "guarantee" that is to run your models locally on your own hardware.

    I'm guessing we'll see a renaissance of the "desktop" and "workstation" cycle once this AI bubble pops. ("Cloud" will be the big loser.)

    11. AbstractH24 ◴[21 May 25 12:12 UTC] No.44050628{3}[source]▶
    The SSO premium of the AI era
    replies(1): >>44053888 #
    12. ethbr1 ◴[21 May 25 17:30 UTC] No.44053888{4}[source]▶
    Features are better price segmenters than utilization.