21–30 of 65 posts
But doesn't $15M/day of inference cost imply "demand" from users? If this is the case, it's just a matter of time until costs can be reduced.
$15m/day inference? How was that calculated? Forbes? Did they get it right? Is that a reasonable estimate? Still valid? How was revenue calculated?
IMO most of the votes had to come from some vote ring (35 pts in 35 minutes for a crap article, no way.)
I would be curious to know if there is actually as much business economic demand for AI video compared to images (logos, product graphics, etc.) or text (blogs, content everywhere, etc.) My impression is that video is too complex to easily fit into an AI pipeline. Either you need something highly specific, like your own product’s UI. Or you need something personable and consistent, like someone talking into his camer…
But doesn't $15M/day of inference cost imply "demand" from users? If this is the case, it's just a matter of time until costs can be reduced.
It would require multiple order of magnitude cost reductions to make that worthwhile. Maybe another few decades of Moore's law, if we have that left.
This was the Moviepass model of selling $10 bills for $9.
Story heavily edited by AI about an AI company with an AI product that makes AI videos that is closing so they can spend money on some other AI product. All seasoned with some AI goop images. I hate the future.
I would be curious to know if there is actually as much business economic demand for AI video compared to images (logos, product graphics, etc.) or text (blogs, content everywhere, etc.) My impression is that video is too complex to easily fit into an AI pipeline. Either you need something highly specific, like your own product’s UI. Or you need something personable and consistent, like someone talking into his camer…
But doesn't $15M/day of inference cost imply "demand" from users? If this is the case, it's just a matter of time until costs can be reduced.
The "matter of time" is getting more and more expensive, not cheaper, at least for next 2 years
Once the market consolidates, and users get used to the idea of using models that are "good enough" because frontier models are too expensive, there's no reason AI cannot be profitable.