← Back to context Comment by cdrnsf 1 day ago And that covers their model training and infrastructure costs? 10 comments cdrnsf Reply spongebobstoes 1 day ago each new model brings in revenue that is multiple times the cost to create said model jddj 1 day ago Is that the case? What about gpt 4.5? o1-pro? spongebobstoes 1 day ago with revenue >2x cost, they can afford to have a miss now and then 3 replies → cdrnsf 1 day ago So their CFO's publicly voiced concerns are unwarranted? rchaud 1 day ago The efficient market hypothesis has taken a real beating in the age of tech industry anti-gravity valuations. m_ke 1 day ago 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 1 day ago exactly
spongebobstoes 1 day ago each new model brings in revenue that is multiple times the cost to create said model jddj 1 day ago Is that the case? What about gpt 4.5? o1-pro? spongebobstoes 1 day ago with revenue >2x cost, they can afford to have a miss now and then 3 replies → cdrnsf 1 day ago So their CFO's publicly voiced concerns are unwarranted? rchaud 1 day ago The efficient market hypothesis has taken a real beating in the age of tech industry anti-gravity valuations. m_ke 1 day ago 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
jddj 1 day ago Is that the case? What about gpt 4.5? o1-pro? spongebobstoes 1 day ago with revenue >2x cost, they can afford to have a miss now and then 3 replies →
spongebobstoes 1 day ago with revenue >2x cost, they can afford to have a miss now and then 3 replies →
cdrnsf 1 day ago So their CFO's publicly voiced concerns are unwarranted? rchaud 1 day ago The efficient market hypothesis has taken a real beating in the age of tech industry anti-gravity valuations.
rchaud 1 day ago The efficient market hypothesis has taken a real beating in the age of tech industry anti-gravity valuations.
m_ke 1 day ago 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
each new model brings in revenue that is multiple times the cost to create said model
Is that the case? What about gpt 4.5? o1-pro?
with revenue >2x cost, they can afford to have a miss now and then
3 replies →
So their CFO's publicly voiced concerns are unwarranted?
The efficient market hypothesis has taken a real beating in the age of tech industry anti-gravity valuations.
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
exactly