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Why Sora Failed: $15M/day inference cost vs. $2.1M lifetime revenue

revolutioninai.com

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Re: Why Sora Failed: $15M/day inference cost vs. $2.1M lifetime revenue

#5

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.

Costs were reduced to $0. Can't get better then that for a product that OpenAI had no clue how to monetize

Re: Why Sora Failed: $15M/day inference cost vs. $2.1M lifetime revenue

#8

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.

I’ll eat lots of free samples at Costco of foods I’d never pay money for

Re: Why Sora Failed: $15M/day inference cost vs. $2.1M lifetime revenue

#9

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.

Why would demand imply costs will be reduced? If you're making an economies of scale argument, there's plenty scale right now, and costs don't seem to be trending down.

Re: Why Sora Failed: $15M/day inference cost vs. $2.1M lifetime revenue

#10

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.

> If this is the case, it's just a matter of time until costs can be reduced.

Is it, though? We cannot predict technological advancement, and the times of ̶M̶u̶r̶p̶h̶y̶'̶s̶ ̶L̶a̶w̶ Moore's Law* for computational power are long gone. There is simply no guarantee that the costs will go down enough.

* thanks lucianbr!

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