Back in January I was looking around for some positive "pro-AI" analysis of the ethics of the problem <https://mastodon.social/@glyph/115908558259725802> and it looks like I finally got what I wanted: <https://types.pl/@wilbowma/116247527449271232>

I definitely don't think I'm fully convinced, but there's more than enough here to sit with for a while and consider. It's such a relief that someone is taking the ethical question *seriously* though.

William J. Bowman🇨🇦 (@[email protected])

I think if I spend any more time on this, I'll risk doing more harm than good: new blog post on "AI" and ethics. https://www.williamjbowman.com/blog/2026/03/13/against-vibes-part-2-ought-you-use-a-generative-model/

types.pl

@glyph I think I disagree with almost every word in that post, but it's at least clear enough what I'm disagreeing with, which is refreshing?

I do think it's telling, though, that he describes one of the pillars of opposition to AI as he sees it as being an intellectual property argument and not a labor rights argument — in fairness, he does revisit labor rights later, but I still wouldn't have thought of IP issues in genAI as being moral, per se?

@glyph Mostly it's this part that strikes me as being something I deeply object to, and for three reasons.

We don't know the actual energy usage impact of AI, partly in thanks to corporate secrecy.

Whatever progress we've made in renewable energy, that doesn't change that many genAI companies are using non-renewable sources for training and inferencing energy (to wit, Musk in Memphis).

And finally, genAI eating up capacity means that progress in renewables has a reduced impact on energy use.

@xgranade @glyph Knowing the author outside of that post a bit, I would not consider them pro-AI, but that said, I do disagree with their analysis of the environmental aspect, at the very least. I think it brushes it aside by offloading it to the "power" aspect (in a form of rhetorical irony) while ignoring what is actually happening.

I think the post also ignores the harms done to labour, including those who are recruited at low wages to filter out CSAM and other filth from the training data.

@gwozniak @xgranade in fairness to the author, I think that this starts to get into the Reality Is Gish Galloping You problem with writing about this topic: getting one's arms around the whole of the ethical problems is incredibly difficult. For example, popular writing about the power issues has rarely touched on the fact that you *can't* use renewables for these things, and in fact I don't know of a citation I can easily drop in to explain *why* Musk was running so many methane generators

@glyph @gwozniak @xgranade

you *can't* use renewables for these things

slightly OOTL but I assume this amounts to renewables being more intermittent than "fuel goes in, power goes out"?

@cxberger @gwozniak @xgranade more or less. I am not an expert here and as I said, no citation, but my vague understanding is that particularly when you are doing *training*, you need to be able to fire up an entire hojillowatt at once, run every one of those computers full-tilt all at the exact same time, then shut them all down really fast. this presents challenges at every layer of the fabric
@cxberger @gwozniak @xgranade most computers in general, and datacenters are no exception, have all these assumptions baked in about amortization. like sure you've got more-power and less-power times, but everything ramps up and ramps down stochastically separated by time, you don't have to be able to reboot the entire DC at once, you can phase things and do smart scheduling and defer delivering power and whatnot
@cxberger @gwozniak @xgranade both the hardware nature of GPUs and the software nature of AI workload challenge all that stuff, and create these big intense swings that can't really be buffered or managed, you just have to cope with all eleventy gazillion things turning on all at once, running white-hot for days, then shutting off all at once, which is a nightmare for networking gear, for power distribution gear, for the grid, etc
@cxberger @gwozniak @xgranade typical renewables workloads involving batteries are inherently based on these types of assumptions. there's maximum rates that the batteries can charge, and maximum rates the batteries can discharge. Renewables can give you kind of arbitrarily large amounts of power and at some scale could probably even satisfy the raw numbers that the DC wants in terms of KWh, but in terms of W… getting the power out of all those batteries *instantly* adds a layer of challenge