Because cryptocurrency data centers (normally) don’t deal with AI, and the object of comparison was all about AIs vs humans energetic consumption. In their specific speech, Sam Altman was trying to justify (albeit in a very twisted manner) the energetic thirst from their ChatGPT and the alike. So my napkin math focused on this specific comparison they made, hence why I tried to leave crypto and other non-AI-related data centers out of the equation.
If I were to include cryptocurrency into this equation, surely the entire comparison would lean heavily towards data centers, because things like crypto mining are highly energetically demanding.
And very polluting indeed. Really. If we consider the chronological aspect, crypto data centers did pollute and consume more than all AI data centers: Bitcoin is functioning since 2010 (when the block 0, aka Genesis block, was mined), it’s been 16 years, uninterruptedly (I don’t remember seeing news headlines such as “Bitcoin operations are currently down”, so it’s been operating for 16 years in a row), while ChatGPT, the one to open the Dantesque gates we’ve been facing nowadays, was released to the public in 2022, only 4 years ago and with several moments of interruption and downtime.
There is a bit of a feedback loop though. As value and work is often expressed in the amount of labour a person can do. With digital currency this is shifted to computer labor. But the basic cost of human labor is still being valued. In fact this might give us an exchange ratefor computer labor vs human labor.
I know your comment is about intelligence but that is difficult to measure. This is projected to be the bubble bursting bit of AI as it intelligence is limited but the amout of actual work it replaces is measurable.
Im not saying your are wrong, by the way, im just trying to understand the metrics of this. If you want any type of economic evaluation one doesn’t only need to involve the cost, but also the revenue. I don’t think we have the figures yet but I think that the production side of AI is still a bit underwhelming.
I do think that crypto data cost needs a place in this evaluation, just like heat management is a thing in automotive engineering. Even thout it is an unwanted byproduct it needs to be accounted for.
@Akasazh@lemmy.world @usa@lemmy.ml
Because cryptocurrency data centers (normally) don’t deal with AI, and the object of comparison was all about AIs vs humans energetic consumption. In their specific speech, Sam Altman was trying to justify (albeit in a very twisted manner) the energetic thirst from their ChatGPT and the alike. So my napkin math focused on this specific comparison they made, hence why I tried to leave crypto and other non-AI-related data centers out of the equation.
If I were to include cryptocurrency into this equation, surely the entire comparison would lean heavily towards data centers, because things like crypto mining are highly energetically demanding.
And very polluting indeed. Really. If we consider the chronological aspect, crypto data centers did pollute and consume more than all AI data centers: Bitcoin is functioning since 2010 (when the block 0, aka Genesis block, was mined), it’s been 16 years, uninterruptedly (I don’t remember seeing news headlines such as “Bitcoin operations are currently down”, so it’s been operating for 16 years in a row), while ChatGPT, the one to open the Dantesque gates we’ve been facing nowadays, was released to the public in 2022, only 4 years ago and with several moments of interruption and downtime.
There is a bit of a feedback loop though. As value and work is often expressed in the amount of labour a person can do. With digital currency this is shifted to computer labor. But the basic cost of human labor is still being valued. In fact this might give us an exchange ratefor computer labor vs human labor.
I know your comment is about intelligence but that is difficult to measure. This is projected to be the bubble bursting bit of AI as it intelligence is limited but the amout of actual work it replaces is measurable.
Im not saying your are wrong, by the way, im just trying to understand the metrics of this. If you want any type of economic evaluation one doesn’t only need to involve the cost, but also the revenue. I don’t think we have the figures yet but I think that the production side of AI is still a bit underwhelming.
I do think that crypto data cost needs a place in this evaluation, just like heat management is a thing in automotive engineering. Even thout it is an unwanted byproduct it needs to be accounted for.