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Alphabet's cash burn raises alarm for Big Tech as AI spending climbs

reuters.com

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Re: Alphabet's cash burn raises alarm for Big Tech as AI spending climbs

#5
post #2

These alarms have been going off for a long time now. Everyone is already in too deep to admit that there’s a problem.

The top will be when Jim Cramer loudly proclaims there is no problem at Oracle and gives a buy rating.

https://www.youtube.com/watch?v=gUkbdjetlY8

Re: Alphabet's cash burn raises alarm for Big Tech as AI spending climbs

#6
post #2

These alarms have been going off for a long time now. Everyone is already in too deep to admit that there’s a problem.

> Everyone is in too deep to now admit that there’s a problem

I'm not sure how to square this with the dramatic improvement in LLM capabilities in the last 8-9 months. If anything, it makes the earlier investments look prescient?

Re: Alphabet's cash burn raises alarm for Big Tech as AI spending climbs

#8
post #2

These alarms have been going off for a long time now. Everyone is already in too deep to admit that there’s a problem.

Cannot hear what you’re saying with all those alarms blaring non stop since a year. Someone should do something about them, maybe turn them off, I don’t know

Re: Alphabet's cash burn raises alarm for Big Tech as AI spending climbs

#9
post #2

These alarms have been going off for a long time now. Everyone is already in too deep to admit that there’s a problem.

> Everyone is in too deep to now admit that there’s a problem I'm not sure how to square this with the dramatic improvement in LLM capabilities in the last 8-9 months. If anything, it makes the earlier investments look prescient?

No, because the LLMs will keep getting more efficient and capable. Distillation and quantization will mean firms spending trillions on giant data centres are left holding the bag. I suspect Apple ends up laughing all the way to the bank.

https://github.com/microsoft/BitNet

Re: Alphabet's cash burn raises alarm for Big Tech as AI spending climbs

#10
post #2

These alarms have been going off for a long time now. Everyone is already in too deep to admit that there’s a problem.

> Everyone is in too deep to now admit that there’s a problem I'm not sure how to square this with the dramatic improvement in LLM capabilities in the last 8-9 months. If anything, it makes the earlier investments look prescient?

The problem is that the dramatic improvement in capabilities is not translating to a dramatic increase in revenue.
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