AI is capital-intensive, energy-intensive, water-intensive, emissions-intensive, replaces some humans, and has the potential to increase income inequality as small groups of executives can be the only employees of multi-billion-dollar companies. It is also likely a major factor in increasing electricity prices for everyone. Despite all these downsides, it has the potential to improve many aspects of life and benefit humans, society, and even the environment in a myriad of ways. Technophobia is not the best approach. Neither is unbridled technophilia.
Agentic AI is designed to
mimic human intuition to address its intended functions. Machine learning has
the potential to find hidden patterns in data that are too difficult or
time-consuming for humans to discover. It can analyze vast amounts of data
quickly. It is not going to exceed its capabilities and be out-of-control any
time soon. Ideas like AI superintelligence – the point where
AI exceeds human cognitive abilities in every way, singularity –
the idea that when superintelligence occurs, technological growth becomes
uncontrollable and irreversible, and artificial general intelligence –
the point where AI matches human cognitive abilities – these ideas are
interesting and all, but we are likely nowhere near those points. Right now, AI
acts basically as a very good digital assistant. There is still a lot of slop
and hallucinations being produced by bad training. It does outperform humans on
many tasks, and that makes it likely to expand.
People should probably be
madder at cryptocurrency than AI. It uses about a third of the power that AI
uses now, although after expected AI growth, that will fall to about 20-25%.
Crypto does not provide benefits to society aside from secure transactions. It
requires many big data centers. It is also the choice of criminals and
terrorists. However, its decentralized nature means it doesn’t require
brick-and-mortar facilities for employees like other payment systems, such as
credit card companies. That offsets some of its energy intensity.
Innovation usually requires
some trial-and-error in terms of impacts. Technology by itself is neither good
nor bad. I can certainly understand why people don’t want to live near data
centers. I have heard there are noise and heat island effects. Water consumption
is important, but data centers need not produce wastewater that is highly toxic
if wastewater treatment is adequate. Nonetheless, treated wastewater needs to
be monitored as well. In some places, water used for data centers could compete
with drinking water resources.
Tech companies building data
centers are also backing off on their emissions trajectories and net-zero
pledges since they will likely use natural gas to power at least some of their
operations. In a lot of cases, there is simply not enough available land space
to build out acres of solar panels just to power a portion of operations.
Behind-the-meter power is a popular choice that takes some stress off power
grids. However, those solutions also compete with grid power for components
like transformers and gas turbines, both of which have been in short supply for
a few years. A big question is how much power ratepayers are contributing to
data center buildout. I don’t want AI to increase my power bill, and I sure as
hell don’t want crypto increasing my power bill.
There are several legitimate
reasons to oppose data centers, but I would add that each project is different
in terms of the sensitivity of location and effects on local people and the
local environment, and each project is powered differently, which affects its
impacts.
On the other hand, I am
seeing some social media posts suggesting that AI is some kind of inherent
corporate evil that must be stopped at all costs. That is not sensible at all.
The misguided young people who planned to use drones and snipers in a terrorist
attack to disrupt Trump’s UFC fight cited data centers as one of their
grievances.
Once seen as left-wing
oriented, tech companies like Google, Amazon, Meta, and others are now seen as
more right-wing corporations hellbent on making a profit at all costs.
Anti-capitalists also have
some fair arguments that AI companies are investing in technology much more
than in employees, and as the technology advances, even fewer employees will be
needed. Others say that AI will end up being a bubble that will be hard to make
the kind of profit predicted.
Some states are putting the
brakes on, such as New York, banning new data center development. Other states,
like Ohio, are drawing back incentives meant to lure in these companies for
data center projects.
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