AI slop about AI slop? This is tiresome.
Why Sora Failed: $15M/day inference cost vs. $2.1M lifetime revenue
61–65 of 65 posts
Re: Why Sora Failed: $15M/day inference cost vs. $2.1M lifetime revenue
#62Earlier quoted context omitted.
The "matter of time" is getting more and more expensive, not cheaper, at least for next 2 years
Not sure what you're referring to. If you're talking about inference cost for frontier models, that's going up because researchers keep pushing those frontiers, often without considering cost. And while they're subsidized (to gain market share), users have no reason NOT to use the crazy expensive frontier models. Once the market consolidates, and users get used to the idea of using models that are "good enough" becau…
> Not sure what you're referring to. If you're talking about inference cost for frontier models, that's going up because researchers keep pushing those frontiers, often without considering cost. And while they're subsidized (to gain market share), users have no reason NOT to use the crazy expensive frontier models.
The price of GPUs and the price of RAM to put in the servers.
Re: Why Sora Failed: $15M/day inference cost vs. $2.1M lifetime revenue
#63Story 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.
Ironically, the site is down
Re: Why Sora Failed: $15M/day inference cost vs. $2.1M lifetime revenue
#64How many seconds of video did they generate per day for those $15,000,000, i.e. what would it actually cost me to generate, say, a three minute music video for my garage band? This should probably take into account how many attempts I would likely need to arrive at something I am satisfied with.
How many minutes would you generate to finally land on your 3 minute final copy?
Assuming I know what I want and am somewhat competent at describing it, I would guess ten times the final length should be plenty. If you are exploring different options, you can of course produce an unlimited amount of videos. But that is not really what I was referring to, I was more thinking of how many attempts it takes the model to produce what you want given a good prompt - I have never used it and have no idea if it nails it essentially every time or whether I should expect to run the same prompt ten times in order to get one good result.
Re: Why Sora Failed: $15M/day inference cost vs. $2.1M lifetime revenue
#65But 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.
Ha, that's a good one!