I feel this post. I am tired of "directing" agents when in reality it feels more like trying to herd a group of toddlers.
Sure they can mostly write better code than a toddler but this constant nudging and reminding and reiterating and stopping them from using the token budget of the whole company for a one off script. It gets tiring and I feel like I am losing brain power while doing it. Maybe it's faster but explosive diarrhea is also a faster way to produce shit.
> human resources are still a zero-sum game, and every individual feeling super busy in their agentic silo doing a thousand things at once does not, in the end, help solve the kinds of projects that require cross-functional collaboration and team work.
I’ve had a pet theory for a long time that society loses it’s collective mind every 10ish years or so, usually starting with a good reason, but the outcome is mass stupidity followed by mass forgetting leading to a new cycle. War on terror, GFC, crypto, covid, now AI. Although the cycle does seem to be shortening.
Also we’re just so damn stupid to learn from history, or even just people 10 years older than us, that we repeat the cycle.
And there I guess is where saying a new sucker is born every minute is from.
Yeah, when you are pulling out terms of the very online like "meat proxies", you're not exactly in a place to judge the rest of society, you're in a bubble.
There was construction of some data center, and someone's well water started looking dirty around the same time. From there it metasisized into claims that it's destroying all the world's water.
I agree that everyone's lost their minds, but so has this guy.
LLMs are actually producing a lot of pretty good stuff, can debug things that would have taken an entire team a week, and the people running AI companies are also generally like the most boring supervillains imaginable. All true.
It is also completely screwing up the global economy, and most people barely understand what it is and what's happening.
It's also not going to collapse anytime soon as a technology despite what the economy does, and it's going to get a lot worse before it gets better. Everyone who's extreme on it on either end is generally wrong.
AI does not use much water. If you believe it does, like this article does, you have fallen for propaganda and lies, ironic in a post calling everyone using AI stupid.
The main cause of water fear mongering is that one woman’s well was dirty during construction of a data center. First construction is not the center running, and having lived on a well they get dirty for all kinds of reasons.
Is that supposed be a lot? That article states that all US data centers combined consume 450 million gallons a day, equivalent to 90 towns, which does not sound like very much.
I feel this post. I am tired of "directing" agents when in reality it feels more like trying to herd a group of toddlers.
Sure they can mostly write better code than a toddler but this constant nudging and reminding and reiterating and stopping them from using the token budget of the whole company for a one off script. It gets tiring and I feel like I am losing brain power while doing it. Maybe it's faster but explosive diarrhea is also a faster way to produce shit.
> human resources are still a zero-sum game, and every individual feeling super busy in their agentic silo doing a thousand things at once does not, in the end, help solve the kinds of projects that require cross-functional collaboration and team work.
This rings true.
I’ve had a pet theory for a long time that society loses it’s collective mind every 10ish years or so, usually starting with a good reason, but the outcome is mass stupidity followed by mass forgetting leading to a new cycle. War on terror, GFC, crypto, covid, now AI. Although the cycle does seem to be shortening.
Also we’re just so damn stupid to learn from history, or even just people 10 years older than us, that we repeat the cycle.
And there I guess is where saying a new sucker is born every minute is from.
This is someone's vent post.
Ironically this reads like output from an LLM trained exclusively on bluesky
Yeah, when you are pulling out terms of the very online like "meat proxies", you're not exactly in a place to judge the rest of society, you're in a bubble.
> targeting schools
Yea, I'm afraid it's you that lost your mind here.
> more and more water wasting
An unfortunate symptom of anti-AI psychosis.
Were did this myth originate anyways? Did datacenter burst a pipe at some point?
There was construction of some data center, and someone's well water started looking dirty around the same time. From there it metasisized into claims that it's destroying all the world's water.
I agree that everyone's lost their minds, but so has this guy.
LLMs are actually producing a lot of pretty good stuff, can debug things that would have taken an entire team a week, and the people running AI companies are also generally like the most boring supervillains imaginable. All true.
It is also completely screwing up the global economy, and most people barely understand what it is and what's happening.
It's also not going to collapse anytime soon as a technology despite what the economy does, and it's going to get a lot worse before it gets better. Everyone who's extreme on it on either end is generally wrong.
I believe both extremes are right, because more than one thing can be true at once.
Artificial Unintelligence
Alternative title: Cognitively tired unc goes on rant after experiencing change of job responsibilities
AI does not use much water. If you believe it does, like this article does, you have fallen for propaganda and lies, ironic in a post calling everyone using AI stupid.
The main cause of water fear mongering is that one woman’s well was dirty during construction of a data center. First construction is not the center running, and having lived on a well they get dirty for all kinds of reasons.
datacenters are stinky though and ruin property values. (as well as can, and has, polluted water sources in some cases)
I don't disagree with your assertion; however you do have to realize that their grievances, while not completely informed, are not wrong.
Someone complaining about water usage is a very strong indicator that they aren't well-informed enough to contribute anything worth reading, though.
The major hyperscalers report water use: Google consumed 10.9 billion gallons in 2025, up 34%, versus Amazon's disclosed 2.5 billion.
And what are you basing that understanding on?
https://www.eesi.org/articles/view/data-centers-and-water-co...
According to EESI (a bipartisan-founded non-profit), a large data center:
> can consume up to 5 million gallons per day, equivalent to the water use of a town populated by 10,000 to 50,000 people.
Also noting that AI datacenters can use more.
Is that supposed be a lot? That article states that all US data centers combined consume 450 million gallons a day, equivalent to 90 towns, which does not sound like very much.
Consume it how, exactly? Are the staff drinking it all? Because the the kit sure as hell isn't. :-/
"has never been the bottleneck"
The tell of an unhinged anti AI rant that pulls only to the worst case most negative viewpoint.