My thoughts on artificial intelligence

AI is more destructive than generative.

I won’t mince words. AI is environmentally destructive. The infrastructure required to run and expand AI—the land, the water, etc.—is a blatant colonial attack on communities. The cost of inference is not going down, either. It’s going up, and it’s going to require more energy.

And even if you want to be crude about it, the limited functionality that I remain unimpressed by as of October 2025 does not in any way justify the resources to run the technology.

That being said, I began experimenting with AI when ChatGPT was released in November 2022. Since then, I’ve paid for Perplexity.ai and ChatGPT as a way to remain informed and able to distinguish between hype and reality.

Despite ongoing experimentation with AI, I’ve never been able to yield more than two or three consecutive sentences that meet my standards. And as a search engine, I have to verify search results such that I don’t save much time.

So, although I see some potential for AI as a search engine—if LLMs can stop monopolizing information long enough to actually cite an adequate number of sources—I don’t use it for content creation.

I like writing and editing—the whole process, from end to end, using the brain I’ve always relied on.

I know how to use AI, I don’t find it difficult, but I’m not particularly enamoured by it as a piece of technology for “bouncing ideas off of” or “kickstarting the research process.”

I’d much rather, well, read.