> “If you’re going to use generative tools powered by large language models, don’t pretend you don’t know how your sausage is made.” This isn't a very hopeful quote given how many people continue to eat sausages even though we all know how sausages are made.
> we all know how sausages are made. I'm doubtful. There's a few documentaries showing the process and I've had people tell me multiple times that they were genuinely shocked by it. I'm assuming those people "knew" and it's just that knowing "it's all the waste at the butcher getting stuffed into guts" is not quite the same as seeing it first hand.
I've never been so conflicted about a technology
41–50 of 125 posts
Re: I've never been so conflicted about a technology
#42> Firstly, there’s the environmental impact. Surely, like everything else in tech, this too shall pass. I expect power requirements to fall away since there is no doubt strong incentives to do so. > My naive optimism led me to believe that technology would help us fight climate change. Yeah, proceeding full steam ahead with planet destruction and praying tech will save us is kind of naive. You're not alone though. >…
Re: I've never been so conflicted about a technology
#43[flagged]
Re: I've never been so conflicted about a technology
#44Not sure how anyone can with certainty say that AI will be a net negative in the long run for climate change. Logic I think says the opposite.
Re: I've never been so conflicted about a technology
#45Earlier quoted context omitted.
The marginal impact of AI on global climate probably rounds down to zero, or at least is not the thing driving us over the cliff: > Global energy consumption in 2023 was around 500,000 GWh per day. That means that ChatGPT’s global 3GWh per day is using 0.0006% of Earth’s energy demand. https://andymasley.substack.com/p/a-cheat-sheet-for-conversa...
How much of that 500 TWh would disappear if you round to zero everything that consumes 3GWh per day or less? And keep in mind you are calculating for a single app (ChatGPT), nor for an entire industry or tech. Don't look at "civil aviation" but at each airline in particular. I suspect nearly all of it. You framed it such that it appears insignificant, but with this framing nothing is significant.
Also, though this is not really relevant to your major incorrect point, airlines aren't part of civil aviation.
Re: I've never been so conflicted about a technology
#46Disappointed with the article, especially because it uses "think of the planet" as a weak argument against this technology. > Firstly, there’s the environmental impact Their own blog contributes to climate crisis they are now crying about. We can argue someone in a developing country writing a similar article saying "all these self publishing technologists are making climate crisis worse" and it'll have a stronger po…
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Re: I've never been so conflicted about a technology
#47[flagged]
Re: I've never been so conflicted about a technology
#48Earlier quoted context omitted.
The marginal impact of AI on global climate probably rounds down to zero, or at least is not the thing driving us over the cliff: > Global energy consumption in 2023 was around 500,000 GWh per day. That means that ChatGPT’s global 3GWh per day is using 0.0006% of Earth’s energy demand. https://andymasley.substack.com/p/a-cheat-sheet-for-conversa...
How much of that 500 TWh would disappear if you round to zero everything that consumes 3GWh per day or less? And keep in mind you are calculating for a single app (ChatGPT), nor for an entire industry or tech. Don't look at "civil aviation" but at each airline in particular. I suspect nearly all of it. You framed it such that it appears insignificant, but with this framing nothing is significant.
if you are actually worried about your ChatGPT energy usage, skip a hot shower or spend a few hours less playing Cyberpunk 2077 and a few more hours reading an old book.
Re: I've never been so conflicted about a technology
#49> Firstly, there’s the environmental impact. Surely, like everything else in tech, this too shall pass. I expect power requirements to fall away since there is no doubt strong incentives to do so. > My naive optimism led me to believe that technology would help us fight climate change. Yeah, proceeding full steam ahead with planet destruction and praying tech will save us is kind of naive. You're not alone though. >…
> I expect power requirements to fall away This sounds extremely naive to my ears. Performance demands currently outpace resource utilization reductions and it's not clear that we're at the point where that will change soon. Also: https://en.wikipedia.org/wiki/Jevons_paradox > > There are also ethical concerns regarding the methods used to obtain data for training AI models. > This one hasn't registered as problemati…
The problem is it was falling apart before generative AI. This AI has just hastened its demise.
Re: I've never been so conflicted about a technology
#50Earlier quoted context omitted.
The marginal impact of AI on global climate probably rounds down to zero, or at least is not the thing driving us over the cliff: > Global energy consumption in 2023 was around 500,000 GWh per day. That means that ChatGPT’s global 3GWh per day is using 0.0006% of Earth’s energy demand. https://andymasley.substack.com/p/a-cheat-sheet-for-conversa...
How much of that 500 TWh would disappear if you round to zero everything that consumes 3GWh per day or less? And keep in mind you are calculating for a single app (ChatGPT), nor for an entire industry or tech. Don't look at "civil aviation" but at each airline in particular. I suspect nearly all of it. You framed it such that it appears insignificant, but with this framing nothing is significant.
I suspect at a "sensible" breakdown (trying to avoid the "How long is my coastline?" problem), which is presumably something akin to Zipfian, the main uses will actually account for most energy usage.
If anyone can find a breakdown at the level of granularity that "all deep learning" would make sense, let me know: so far my Googling has led primarily to either detailed breakdowns of energy _sources_, or high-level breakdowns of use at the level of "industry", "agriculture", or "residential use".