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cdrnsf 20 hours ago

And that covers their model training and infrastructure costs?

spongebobstoes 20 hours ago | parent | next [-]

each new model brings in revenue that is multiple times the cost to create said model

jddj 20 hours ago | parent | next [-]

Is that the case? What about gpt 4.5? o1-pro?

spongebobstoes 20 hours ago | parent [-]

with revenue >2x cost, they can afford to have a miss now and then

jddj 20 hours ago | parent [-]

If you have a machine that reliably takes $1 and makes $2 you raise debt not equity

bdangubic 20 hours ago | parent [-]

care to elaborate? if my machine is doubling my money, why do I have to raise debt?

jddj 20 hours ago | parent [-]

Presumably there is some time component, i.e you need to use the machine quickly or risk losing it.

Also, it's better to double $2 instead of $1, and then pay back that $1.1 and end up with $2.9 instead of $2.

But it was a more facetious comment than I would have preferred to make, I actually went to delete it but you got in too quickly.

There are many reasons it's wrong, too, eg. at some level of risk debt becomes more expensive or impossible

But the intent of the comment was to say that if you owned as sure a thing as the GP proposed you'd do what you could to avoid selling parts of it.

cdrnsf 20 hours ago | parent | prev | next [-]

So their CFO's publicly voiced concerns are unwarranted?

rchaud 18 hours ago | parent [-]

The efficient market hypothesis has taken a real beating in the age of tech industry anti-gravity valuations.

m_ke 20 hours ago | parent | prev [-]

until it doesn't.

scaling laws are a power law, you can only stay ahead for so long when each minor improvement gets exponentially more expensive

downrightmike 20 hours ago | parent | prev [-]

exactly