AI

Going Meta Into Nothingness

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(This column is posted at www.StevenSavage.com, Steve’s Tumblr, and Pillowfort.  Find out more at my newsletter, and all my social media at my linktr.ee)

In one of my recent readings of Cory Doctorow’s valuable blog, he discussed the value of “vultures” in the economic ecosystem, and reminded us of an important idea by Douglass Rushkoff explaining the weird “abstractions” we see.. To quote Doctorow:

“Douglas Rushkoff calls this “going meta”: don’t drive a taxi, rent a medallion to a taxi driver. Don’t rent a medallion, start a ride-hailing app company. Don’t start a ride-hailing company, invest in the company. Don’t invest in the company, but options on the company’s shares. Each layer of indirection takes you further from the delivery of a useful service – and insulates you further from risk.”

Going meta is something we see everywhere, to the point we are used to it. Giant companies with packages of packages of companies. Financial jobs that are, as I heard it once put “sloshing money around and scraping up what falls out.” Hell, with Kalshi and Polymarket and the various betting markets, we’ve gone meta on reality, allowing people to bet on anything, including things that are already pretty meta.

A friend recently summed up the overwhelm of modern technology by noting how much of what we do is metadata. You can fill out a paper form and have to store it and retrieve it – but if you put it on a computer it needs a name and a location – and cloud storage involves even more metadata behind the scenes. New software that lets you “easily” track information often has “new” features that require you to enter even more data to use features. At some point paper seems easier because the metadata can take more effort than the data.

(Remember, I once interviewed at software company that did Scrum with post it notes, having given up on tools.)

The ultimate meta is AI. AI takes our data, our metadata, and approximates us. It’s a world of data centers funded by this group, run by that group, and owned by another group. The power and water consumption are abstracted away. That’s if things are even being built, which seems to be a point of confusion – but boy companies want AI in everything.

It feels like our world is more and more meta all the time. Actual, hands-on, reality has layers of layers over it and we consume the reality to power the unreality.

Everything else is pretty meta too. Ever notice how these days in 2026 that our health care decisions by the federal government seem to be driven by internet conspiracy theories not based in anything? How memes and rumors can drive actions even if they have no existence in reality? Watch the news and people are trying to talk about reality with a thick layer of marketing and political opportunism. Even the propaganda seems meta, if people even know it’s propaganda, and sometimes I’m not sure the propagandists know.

So what I wonder is how much time and energy are we wasting doing meta but you know not doing stuff? I mean here in May 2026 farmers seem to be pretty impacted by whatever the hell is up with the non-ceasefire in Iran but it’s not making the news enough. Various Influencers famous for being famous are going around being famous and Influencing, but what are they about? People are betting on various important events in the world while others short markets, making us suspicious of what’s happening why. Also software seems to get exponentially harder to use as we add more stuff because of . . . I dunno, sales or something?

I mean how much time and energy are we burning here? Well time, energy and planet. Not sure much meaningful is happening, you know.

The problem with all this “metaness” is I think we won’t notice it breaking down until a lot of other stuff does. All the meta stuff, all the abstraction, the financialization, the investment vehicles, the BS media hype, that can keep going for awhile as it has money and momentum. But there comes a day when memes don’t fill your bank account, you can’t use AI as fertilizer, and you didn’t bet on very angry people being upset about unemployment. The people who think meta miss this stuff.

It’s best we don’t.

Steven Savage

The Unaccountability Machines

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(This column is posted at www.StevenSavage.com, Steve’s Tumblr, and Pillowfort.  Find out more at my newsletter, and all my social media at my linktr.ee)

My regular readers will know that Dan Davies’ The Unaccountability Machine was a big influence on me. If you didn’t know this, well, you’ll probably keep hearing about it every now and then. Anyway, the short summary of this must-read book is that a lot of our systems (government business, etc.) go off the rails because they focus on a few metrics, insulate themselves and their leaders from impact, and become destructive.

There, I summarized an enormously complex book that sums up decades in a paragraph. Go me. Anyway, on to the subject.

I was reading a recent article in 404 media on how people are “staffing” companies with AI, or even discussing having entire companies that are just bots/agents. Yes, it won’t surprise you that people flush with cash or wild ideas imagine a world where they just automate everything and rake in cash. Yeah, you’re not surprised.

Nowhere’s many things wrong with this idea, from data center water burn to legal complications to AI being surprisingly crappy at many jobs. But I want to address something about what it’d be like to run a company with a bunch of stochastic systems doing work for you, because this sounds like the fears of The Unaccountability Machine taken to it’s logical conclusion. Or illogical conclusion.

Anyway, let’s imagine these AI companies, these automated companies, and what we know about AI. You have a lot of automated processes running things, running them with no moral agency because they’re not people. We know how sycophantic AI can be dangerous because it tells you what you need to know. All of this abstract and distant from real human experience, moreso because of the hype cycle.

What you’ve got here is, well, an Unaccountability Machine. A nearly completely automated company of AI agents spinning around one person is not going to get good, safe decisions. You may get something you can use to juice stock and sell off, but it won’t be safe.

What you have are devices that ape human awareness, using old data, telling people what they want, and when things go wrong the AI takes the blame. You have people insulated from real information, focused on limited measures, and using technology that will sound like it’s kissing up to them. All it is is amplifying what happens to various leaders anyway in our decaying government and business systems.

So, really, it’s just business as usual but faster. You can spin up bad ideas and unaccountability quicker.

Now I suspect a lot of this is just juicing stocks, posturing, and trying to ignore how AI costs are going to go up and legal issues will proliferate. So I’m more concerns what happens in the meantime and I doubt it’ll be good – and then of these “auto-companies” will need their work walked back.

Honestly, I hope most of them are scams. Maybe that’d be good.

I suspect Dan Davis is going to have to write yet another book.

Steven Savage

It’s The Ones We Noticed

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(This column is posted at www.StevenSavage.com, Steve’s Tumblr, and Pillowfort.  Find out more at my newsletter, and all my social media at my linktr.ee)

People developing psychosis while using Chat GPT has been in the news a lot. Well, the latest story is about an Open AI investor who seemed to lose it in real time, leading to shall we say concerns. The gentleman in question seemed to spiral into thinking the world was like the famous SCP Foundation collective work.

Of course people were a little concerned. A big investor AI losing his mind isn’t exactly building confidence in the product or the company. Or for that matter, investing.

But let me gently suggest that the real concern is that this is the one we noticed.

This is not to say all sorts of AI bigwigs and investors are losing their minds – I think some of them have other problems or lost their minds for different reasons. This isn’t to say the majority of people using AI are going to go off into some extreme mental tangent. The problem is that AI, having been introduced recently, is going to have impacts on mental health that will be hard to recognize because this is all happening so fast.

Look, AI came on quick. In some ways I consider that quite insidious as it’s clear everyone jumped on board looking for the next big thing. In some ways it’s understandable because, all critiques aside (including my own), some of it is cool and interesting. But like a lot of things we didn’t ask what the repercussion might be, which has been a bit of a problem since around about the internal combustion engine.

So now that we have examples of people losing their minds – and developing delusions of grandeur – due to AI, what are we missing?

It might not be as bad as the cases that make the news – no founding a religion or creating some metafiction roleplay that’s too real to you. But a bit of an extra weird belief, that strange thing you’re convinced on, something that’s not as noticeable but too far. Remember all the people who got into some weird conspiracies online? Yeah, well, we’ve automated that.

We’re also not looking for it and maybe it’s time we do – what kind of mental challenges are people developing due to AI that we’re not looking for?

There might not even be anything – these cases may just be unfortunate ones that stand out. But I’d really kind of like to know, especially as the technology spreads, and as you know I think it’s spreading unwisely.

Steven Savage