Despite its name, the infrastructure used by the “cloud” accounts for more global greenhouse emissions than commercial flights. In 2018, for instance, the 5bn YouTube hits for the viral song Despacito used the same amount of energy it would take to heat 40,000 US homes annually.
Large language models such as ChatGPT are some of the most energy-guzzling technologies of all. Research suggests, for instance, that about 700,000 litres of water could have been used to cool the machines that trained ChatGPT-3 at Microsoft’s data facilities.
Additionally, as these companies aim to reduce their reliance on fossil fuels, they may opt to base their datacentres in regions with cheaper electricity, such as the southern US, potentially exacerbating water consumption issues in drier parts of the world.
Furthermore, while minerals such as lithium and cobalt are most commonly associated with batteries in the motor sector, they are also crucial for the batteries used in datacentres. The extraction process often involves significant water usage and can lead to pollution, undermining water security. The extraction of these minerals are also often linked to human rights violations and poor labour standards. Trying to achieve one climate goal of limiting our dependence on fossil fuels can compromise another goal, of ensuring everyone has a safe and accessible water supply.
Moreover, when significant energy resources are allocated to tech-related endeavours, it can lead to energy shortages for essential needs such as residential power supply. Recent data from the UK shows that the country’s outdated electricity network is holding back affordable housing projects.
In other words, policy needs to be designed not to pick sectors or technologies as “winners”, but to pick the willing by providing support that is conditional on companies moving in the right direction. Making disclosure of environmental practices and impacts a condition for government support could ensure greater transparency and accountability.
“aI AnD cRyPtO aRe ThE sAmE bRo”
You know that your take that they both must suck in the exact same ways just because tech bros get hyped about them, is literally just as shallow, surface level, and uninformed as most tech bros?
Like yeah man, tech hype cycles suck. But you know what else was once a tech hype cycle? Computers, the internet, smartphones. Sometimes they are legitimate, sometimes not.
AI is solving an entirely new class of problem that computers have been literally unable to solve for their entire existence. Crypto was solving the problem of making a database without a single admin. One of those is a lot more important and foundational than the other.
On top of that, crypto algorithms are fundamentally based on “proof of work”, i.e. literally wasting more energy than other miners in the network is a fundamental part of how their algorithm functions. Meaning that with crypto there is basically no value prop to society and it inherently tries to waste energy, neither is the case for AI.
Plus guess how much energy everyone streaming 4K video would take if we were all doing it on CPUs and unoptimized GPUs?
Orders of magnitude more power than every AI model put together.
But guess what? Instead we invented 4k decoding chips that are optimized to redner 4k signals at the hardware level so that they don’t use much power, and now every $30 fire stick can decode a 4k signal on a 5V usb power supply.
That’s also where we’re at with the first Neural Processing Units only just hitting the market now.
Sure, uninformed tech hypebois suck in the same way, but the arguments around crypto and AI, especially around energy usage, are fundamentally not the same.
