@strypey
> How? You can't "consume" water in the sense you consume energy. Why can't they just reuse the same water?
Data centres consume water directly for cooling, in some cases 57% sourced from potable water, and indirectly through the water requirements of non-renewable electricity generation.
Water used for cooling evaporates, and data centres do not have systems in place to capture that. Water is too cheap. Groundwater depletion is a thing, and data centres compete with farming and with local communities.
https://www.nature.com/articles/s41545-021-00101-w
https://www.newscientist.com/article/2342490-how-much-water-do-data-centres-use-most-tech-companies-wont-say/
https://fortune.com/2023/09/09/ai-chatgpt-usage-fuels-spike-in-microsoft-water-consumption/
>> 80% of content in data centres could be stuff we never use again, stored by default to consume energy in perpetuity
> How? Doesn't data stored on hard drives only use energy when it's accessed?
A hard drive that is powered on consumes electricity. The more hard drives you buy and power on, the more electricity is consumed.
https://www.theguardian.com/world/2024/feb/15/power-grab-hidden-costs-of-ireland-datacentre-boom
https://volume.lboro.ac.uk/digital-waste-polluting-the-planet/index.html
https://theconversation.com/dark-data-is-killing-the-planet-we-need-digital-decarbonisation-190423
Tagged: reply
@meriksson Japp, jag har förstÄtt det som att det försvunnit massor av loggar.
@nyx Haha, yes, CC is certainly a favorite in the "adopted but lost" terminology/abbreviations.
@hula Tack! Blev uppmĂ€rksammad om den dĂ€r bara en kvart innan du la ut den. đ
@Mabande @thecontinent Yes, that would be fantastic.
@cholling I mean, you said it first. đ
@usmanz I doubt that it's trying to. I have my own install(s) of Ghost on my own VPS. It's more akin to early Wordpress.
@edeverett Wow had not heard about this.
@sintrenton
Ja, vÀldigt bra text. Tack.
@mitsunee Haha, I hadn't thought of that but you're absolutely right.
Mailchimp have now abandoned all of its "whimsiness", so I doubt we'll ever really know.
@falcennial đ Off by default would definitely work for me.
@timthelion Oh yeah! I remember listening to The Missing Cryptoqueen and the part where they described graphs on a web page showing how investments in OneCoin were growing in value, all faked.
@dekaminski @web2brain
There is also this Swedish case wherein an algorithm was used to allocate school placement based on geographical distance from home, rather than travel distance. This resulted in children having to attend schools that were close on a map but were across a body of water that could take an hour to travel around. The interesting part of the case is how hard it was to get any sort of admittance of wrongdoing on the side of the municipality. This was also before algorithmic decision-making was allowed in the public sector (in 2020). The lawyer writing about this notes how the courts do not understand the technical aspects enoughâŠ
https://www.advokaten.se/tidigare-nummer/2022/nr-6-2022-argang-88/algoritmisk-orattvisa--nar-domstolen-ar-blind-for-digitala-bevis/
@Beantin Very cool. I had no idea this was possible.
@MariaLiv Ja, precis, och Konsumentverket (efter att mÄnga anmÀlningar kommit in) har ju sagt Ät dem för mer Àn ett Är sedan, men det faller lite platt med brevvÀxling som enda tillsÀgelse.
Det Àr lite si och sÄ med tillÀmpningen kan jag tycka.
https://axbom.se/dagens-industri-konsumentverket/
@snowracer Jag trodde det ocksÄ, men inte nÀr de kör kampanjer, typ 99 kr för 3 mÄnader. DÄ kör de fortfarande med att det förlÀngs pÄ Ärsbasis om man missar att sÀga upp i tid (en vecka innan kampanjperiodens slut).
@stephenpa @scottjenson
I've _just_ switched to a self-hosted version of cal.com
@nafnlaus The decision to design them this way is purely human. There are a multitude of human decisions even in unsupervised "learning", when it comes to labelling and modelling. The fact that many of these algorithms are a black box when it comes to predictability is only an example of humans building an error-prone system based on human material.
The machine is also an extension of all human error contained in the unsupervised training material, including historical and representation bias. It's further adding more human input to the mix, not less. All that human labor fed into the machine, and none of those humans visible. Again, it's hard to see the humans (who produced all that content) because of the machines.
Unsupervised training is for example also how Child Sexual Abuse Material has made its way into image generators, and descriptions of abuse and violence into all the text generators. There are people working around the clock across the world to prevent this content from appearing in generated content. More invisible humans doing invisible labor.
I agree they aren't puppets, although puppet features exist in AI as well (deepfake generators). But they are truly not a separate entity from human influence and decision-making. The way I see it, it's all they are. And sometimes that leads to exacerbating human bias rather than minimising it.