The A.I. Clusterfuck
I am not unreservedly pro-AI. I'm not even reservedly pro-AI. I am deeply AI-skeptical. In fact I think that AI is the mid 2020s version of "web 3" in terms of hype and over-investment. In spite of that, I have a lot of problems with how AI is criticized and reported on by people who are anti-AI. I think there is huge potential for AI to exacerbate a number of problems but I believe that the root of the problems that most people are concerned about with AI are actually problems caused by capitalism.
The TL;DR of this whole page is "there's a lot of nuance in this discussion that a lot of people are talking past, I suspect that AI is neither as helpful nor as catastrophic as it has been made out to be, and regardless of all of that I don't like AI very much and wish people used AI less.
Defining Terms
How you feel about AI usually has a lot to do with how you define AI. People who dislike AI the most generally tend to center their discussions around text- and image-generation AI.
It is difficult to draw a bright line in the sand between "highly tuned, specifically trained scientific model that predicts tsunamis via machine learning" and "gimmicky novelty slop image machine trained on copyrighted materials with a .ai address." It would be nice if there was a very noticeable dividing line, but there is not. Machine learning (ML) principles are used in creating generative AI tools, generative AI tools that are widely adopted contribute to advances in ML research. You can't grow your knowledge of healing without also growing your knowledge of suffering.
For the purposes of this conversation, the "AI" under discussion is largely going to be:
- Gen AI tools that produce text and images
- AI chatbots and web search tools that are either standalone or integrated into other tools
- Tools that are available to consumers on a broad basis
Any discussion of scientific research tools or ML models that are not available to a broad group of users outside of institutional or research access will be noted.
General Concerns about AI
At the moment (late July 2026)
Security
Myth, Fable, and AI Superhacking
Trusting AI to Keep you Safe
Environment
Water Use
Power Use
Datacenters
Datacenter vs Hyperscaler
Datacenter builds over time
Economics
Over-Investment and being "Too Big to Fail"
Component Hoarding
IP and Copyright
Fair Use
Data Scraping
Data Control/Data Leaking
People Making Bad Decisions
AI Companies Being Genuinely Bad
The Military Industrial Complex
Captcha used you to train robots how to bomb children
Cognitive Concerns
Does AI make People more Stupid?
===How does AI impact Critical Thinking?"