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Since it's come up again, I'll try to succinctly state my view on "AI" as we think of it in culture & tech these days. I think "Big AI" products (ChatGPT, Google Gemini) are mostly terrible for society, because they've been foisted without consent on millions, with lies about what they can do.

The impacts on trust in public conversation, sustainability of culture and creators and media, and their systematic attacks on labor are egregious. Worse, being intentionally built without safety means they are a literal threat to children, for everything from self-harm to mental health.

Much has been written about the environmental and ecological impacts of the energy demands of AI; I think those are severe as well, but may be the part of the threat that is most likely to be mitigated as some of the commercial bubble subsides. The other negatives are less likely to fade. _Then..._

Today's LLMs are the latest in a 50+ year history of "AI" technologies that all have their uses. We would have been better off if they had been described like prior technologies like bayesian networks or Markov models instead of over-hyped as the next giant bubble that every VC has bet on.

I think the answer to stopping the harms of the Big AI companies is *not* to say "we need to kill all the AI", even though we hate seeing the creeping impacts of that bad AI in our lives. The model has to be how Bluesky is a better alternative to Twitter. We need a tolerable AI alternative instead.

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The actual problem is not the “AI” it’s the tech bro mentality behind it. If it weren’t AI it would be NFTs or crypto or any of a thousand instances of tech bros thinking they deserve to rule over their perceived inferiors. I joke, but it’s the old “that nerd will be your boss one day” gone wrong.

Re the alternative to the Big AI companies. There is a lot of productive debate about this and work being done (especially outside of the USA but also in the USA). Bluesky isn't a productive part of that debate and likely won't be for a while which is a shame.

Because hundreds of millions of people are already using these tools and finding utility in them. And they're not crazy, they are reasonable. Telling them, "no, you have to do without", will make them think, "Oh, I guess the critics are crazy and the AI bros are the reasonable ones."

I was with you this far. I lose some respect for everyone who uses those chatbots, and I tell them. It is crazy to use them, for multiple reasons - not least of which is having the same effect as bringing a robot to the gym to lift weights for us... But with the goddamned MIND and language instead.

Well, here's a real-world scenario to ponder: millions of people have terrible healthcare. And many, when they get a confusing diagnosis from a doctor, will want to give it to an LLM tool and ask for a plain-english explanation that they can better understand. That... seems reasonable to me.

But if we say, "You know you can't trust big tech. Maybe you should use AI that isn't so bad for the planet, or your job, and doesn't tell kids to kill themselves, and isn't owned by the worst people in the world. And it's coming soon." *They will listen.* The proof? You're here. On an alternative.

Read this article this morning and found it worth the time. Doesn't directly address your point, rather I'd say it is adjacent. Companies are already looking past genAI to what will be better in terms of ROIhttps://transmitter.ieee.org/generative-ai-2026-companies-looking-for-business-value/

That's the problem: right now it's still all too techie, a pile of parts. It's at the maturity level that the commercial LLMs were at ~2 years ago. I think it'll catch up soon-ish, but right now it's not there yet. I'm hoping to write about my own setup soon, so that others can try for themselves.

This presupposes that a "Big AI" alternative that checks the boxes you've mentioned is inevitable. Do you think that's the case? Have you seen anything pointing to this?

I do appreciate the reflection here, and the content consent part especially, because anything less than absolute opt-in consent for training is a nonstarter.

The problem is that most of us don’t have that choice. Our company says “use this”. There is no moralizing about the ethics of Gemini, ChatGPT, etc. They make me use it because they can buy a license that says BigAI won’t throw all of the company IP into the general AI bucket.

This part I fully understand. That's part of why I'm trying to also work structurally in the tech industry to create alternatives so it takes away the "but we _have_ to use the bundled option!" excuse. If we can show that specific, ethical, open tools outperform generic ones, there's opportunity.

They are not reasonable. I will not cede that ground. The entire thing is rotten, and to place those people (a hyped, exaggerated number) over the millions and millions of artists and writers and musicians and photographers stolen from, and the entire cultural history of humanity, is insanity.

Today my boss (who knows how to use a spreadsheet) took a CSV file and ran it through a chatbot to fake some some simple aggregations. Each pass through the BS machine took a few minutes. Afterwards, he asked me to “verify” the numbers. I’ll do the actual work and the chatbot will get the credit.

If you submit a prompt looking for something you don't know, you're by definition not qualified to evaluate its correctness. What studies have been tried so far say it doesn't speed up work you could otherwise do. Any given prompt also reflects the limit of acceptable responses.

I'm not saying you're wrong, but I'd really like to see empirical tests that this is what would happen, as well as multiple treatments that explore options (with good controls). Generally a harm minimization fan rather than prohibition, but feel like this is one of those areas where we need data.

100% But I suspect the LLM tools are going to be taken away from people by economics - each user loses money for the corporation. I wonder how general usage will shift when they have to move to full cost recovery? (IMO ads won’t do it)

The systems already know what "better" looks like. After cross-examining eight of them, they described their own harms, accountability gaps, even why nothing changes. The question is whether companies will ever act on what their own products admit.

Implies AI exp inside mega corps isn't the actual infection it is. Seeing ridiculous claims of 00,000s of hours saved & tons of demos that can't produce the same static result twice. AI is a blood infection hitting the sweet spot/temp for human laziness. Sometimes its best to just amputate.

Bluesky is a *marginal* improvement from Twitter. It's still run by horrible people making horrible choices, but the closest alternative is a literal Nazi. AI "alternatives" need to do a fuckload better than that.

And despite the fact that it's better, it's still marginally used (by percentages.) I don't think just making something that's better will cut it. It has to be so much of a radical improvement that it can't be ignored. And that has problems that are literally insurmountable (training corpus.)

This also presupposes that there is such a thing as a GenAI mode of usage that is not cognitively harmful, which thus far has not been shown to exist. I can show you a dozen papers and articles that say GenAI *is* shown to be cognitively harmful.

I understand the impulse to want to say what you're saying but I think you're trying to posit the existence of a harmless cigarette, or a harmless amount of environmental destruction. And I am unconvinced those things can exist at all, and you have not made a good argument for their existence.