Renewable technologies are gathering speed, putting the world within reach of falling greenhouse gas emissions. Climate experts say they "struggle to wrap their heads around" the sheer size, scale and speed of the current transition.
The growth of atmospheric CO2 is still accelerating. There has been zero evidence that this has changed.
Yes, renewables. But for every solar panel installed, our civilization’s lust for energy means that most of that added solar power is consumed without any appreciable commensurate decline in fossil fuel consumption.
But AI does still produce something, cryptomining consume stupid ammounts of energy, and produce nothing usefull.
Oh, sure, we have defined the specific string of numbers that the crypto algorithm generates as important in highly specialized systems, but they are completely and utterly useless in other contexts.
You really should read the article. The hypothesis is that global emissions peaked last year and so the cumulative emissions graph that you’re focusing on would start to curve downward this year or maybe next. We’ll “see by the end of the year”.
Again, in the article, things are changing wildly fast and you won’t see that yet in a lagging indicator like cumulative CO₂.
The worst effects of climate change haven’t happened yet so I guess that isn’t true either and you’ll go off at anyone who’ll attempt to use the best available information and modelling to predict that.
The growth of atmospheric CO2 is still accelerating. There has been zero evidence that this has changed.
Yes, renewables. But for every solar panel installed, our civilization’s lust for energy means that most of that added solar power is consumed without any appreciable commensurate decline in fossil fuel consumption.
not to forget, the stupid ai craze is generating crap ton of emissions
But AI does still produce something, cryptomining consume stupid ammounts of energy, and produce nothing usefull.
Oh, sure, we have defined the specific string of numbers that the crypto algorithm generates as important in highly specialized systems, but they are completely and utterly useless in other contexts.
LLMs produce a string of outputs (from numbers) that are sometimes useful in some contexts and utterly useless in other contexts 🙃
You really should read the article. The hypothesis is that global emissions peaked last year and so the cumulative emissions graph that you’re focusing on would start to curve downward this year or maybe next. We’ll “see by the end of the year”.
Again, in the article, things are changing wildly fast and you won’t see that yet in a lagging indicator like cumulative CO₂.
Until that graph curves over, it isn’t true.
Evidence trumps wishes and fantasies and wild guesses. I refuse to get ensnared by hopium, especially when the hard evidence isn’t even in yet.
The worst effects of climate change haven’t happened yet so I guess that isn’t true either and you’ll go off at anyone who’ll attempt to use the best available information and modelling to predict that.