Dopo altro sondaggio nella nostra room su #Matrix, la maggioranza ha deciso.π
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@timbray my previous job was building greenhouse gas inventories.
Data centres are responsible for about 1% of global greenhouse gas emissions. AI is responsible for about 15% of the data centre emissions, or about 0.15% of global emissions.
People who talk about AI burning up the planet don't spend a lot of time thinking about what's really burning up the planet: fossil fuels for transportation and heating, deforestation, and cattle.
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> do not take a lot of power
@raphael ... any more...
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@timbray When a new data centre is built it will take resources from the utility or add its own new generation. In the Bad Place (and many other places) this means it's likely adding new fossil fuel consumption infrastructure and increasing carbon emissions. Until recently that country was matching growth in utility generation with renewables: growth was 'green'. That has changed due to their stupidity and due to unregulated new generation like Musk's data centre(s) etc.
It's a bit dumb to say cars are worse because while yes they are, in sane countries we are starting to manage that problem well with electrification, changes to the fleet.
New data centres are generally bad, because they are designed to generate slop for the enrichment of the already very harmfully wealthy class and because they require new power generation that is almost certainly not coming from renewables.
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@timbray Is it just me, or do the guys doing the calculations on "entire energy consumption for an LLM programmer versus a human programmer" seem worryingly close to declaring that entire subsections of the population aren't worth the energy consumption, could be replaced by "AI", and would happily suggest culling them as if the only value of a person is lines of code generated π
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@timbray That number for LLM energy is bullshit, and the source in that thread appears to be something Sam Altman blogged, who as we know is someone who never just makes stuff up. (His post reads like ChatGPT voice, which of course it is) There is some severe weaseling be off by at least an order of magnitudeβmaybe the average query is "What day is it". Non-trivial queries light up 5-10kW of rack and that runs for significantly longer than seconds. This is roughly the same as a moving EV car.
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Nichilismo schizoide: quando politica e media cancellano la logica
