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Gonna briefly do an AI take: it used to be possible to have interesting discussions about AI here, and it's got progressively less so. You can't just think AI is bad, or overhyped, you've also got to subscribe to a very particular worst-case scenario about *how* it's bad and how bad it is.

There's a particular view on its environmental damage, psychological damage, and that it's useless, and if you deviate from that here you just end up deluged in yet another debate about those things, instead of the discussion you were trying to have.

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Heroin is useful painkiller. Psilocybin shows promise for treating a range of mental health issues. Perhaps every profession should use them just so we can find the best use cases! Food and drug companies should put them in everything, we could make sure to have them in schools! -SATIRE & SARCASM

There’s a lot of people who haven’t revised their view from gpt2 when it was a cool tech demo. The latest models are shockingly useful. I’ve completed very complicated personal projects that would have been impossible to fit in alongside work commitments using them.

The environment damage seems to be a matter of fact, not opinion I guess the view would be whether it’s worth it in balance and how to mitigate it. But the way it’s expressed here is vague and we’re in the “my own set of facts” era

My back of envelope roughly goes: if AI makes the economy x% bigger and the energy cost y% bigger, then if x>y it's a more efficient way to get that bit of growth that in the long run we do anyway. Open to a few criticisms, particularly that it spends energy which is dirtier than it'll ever be again

That’s not a real analysis. There’s other growth econ side has impact on employment, wages, productivity, and demand (+ composition of those). environment side has water use, pollution, energy demand, how that energy is sourced, how the externalities above are dealt with (and who pays)

Just an obvious thing, if you had an all in on renewables, by your definition that’s more efficient than an AI strategy since the environmental costs are lower and unlocks growth in other industries It’s what Norway did after WW2 with state investment in hydro which seeded modern Norway’s wealth

Yeah sorry but that's wrong. The environmental damage is real and locked in. The reason for that is that we cannot serve this level of growth at this speed through renewables, so everyone is going for OCGTs which really are not very efficient, and highly locally polluting. 1/3

rbccm.comNatural gas powers the data center boom | RBCCMAI infrastructure is fueling record energy demand. RBC Capital Markets analyzes the natural gas opportunity through 2030.

There's also competition. In another context I see a green fertiliser project being screwed over by data centres willing to pay more for previously surplus clean energy. I expect the project is now dead, so fertiliser made with steam-reformed H2 will continue to be imported, thanks data centres. 2/3

We absolutely *can* serve this level of growth at this speed through renewables, as the typical datacenter here in Nevada demonstrates. The motivations for picking gas over renewables are political, not economic.

Nearly all of the alleged environmental harms have been repeatedly demonstrated to be either 1. not facts at all or 2. very minor compared to the vast majority of other industries (in particular agriculture).

Look here a real life example of choose your own facts world Yes, agriculture has its multiple environmental issues that should be worked on. It also does a little thing called sustaining human life by feeding us

A very slight reduction in your beef intake would do vastly more to help the environment than eliminating even all datacenter-hosted software (let alone AI specifically) from your life. That slight reduction will not kill you (hell, it might even do the opposite!).

Powered looms are stealing all our craft ideas AND they're diverting the rivers AND they're taking fingers off children AND the artistry's gone AND the youngsters aren't learning to weave any more AND all the money's going to the owners AND they're boring to operate AND they're too noisy for songs

They were right though. Everyone got cheaper textiles, but children also got mangled, events like the triangle shirtwaist fire happened, and professional crafts got sidelined. Is it worth having fast fashion and Shein?

That particular view has been supported by multiple studies involving all of those aspects. We keep having to relitigate them because you AI ding-dongs literally ignore all that because you're literally addicted to the (unfounded! Incorrect! Wrong!) feeling of productivity you get from them.

If you deny the environmental damage and the murders and suicides it causes, you're denying reality. Of course people are going to call out your dangerous, planet destroying lie.

Yeah, but you're projecting there. What I said was that when you try to have a conversation about a particular bit of regulation, or whatever, you instead get lots of people shouting at you because you're not talking about the environmental stuff or the suicides, which derails it.

There is no shortage of people talking about the environmental impact on here! It should be possible to talk about other things too, without four throat clearing posts ahead of it each time. But it very much isn't.

Like how it's impossible to have a serious debate about John Wayne Gacey's clowning skills without people bringing up irrelevant things I don't care about.

I think it's quite noticeable that several thoughtful and serious AI critics now post here much less than they used to. Some have gone back to X (or if they didn't leave, upped their posting there), while others just don't seem to post anywhere very often any more. It's a shame.

That’s interesting. I would have to admit my baseline position is that AI is overhyped and I’m unconvinced about the scale of its net (I mean total net) benefits. But I don’t quite get why, if I were evangelical for it, I would be driven off this site by a bunch of sceptics I don’t know.

It's more that if you're where I am, which is that this is an impressive technology with transformative potential, surrounded by hype merchants, and at the centre of a damaging financial bubble, it's hard to have constructive conversations

The overhype is so pervasive that it's the industry itself that has made rational discussions almost impossible. We could start by agreeing that LLMs are not AI and have zero chance of becoming intelligence.

Why do you think running statistical models on large (stolen) datasets has 'transformative potential'? Can you describe what an LLM is and how you think it works? If not, that might be why you're getting pushback.

Because you just end up embroiled in "no it's shit, it's a plagiarism machine, etc". And the conversations I want to have include "how do we properly regulate this technology," and "how to we make sure we handle this technological change better than previous eras"

Thing is there’s no ROI for most use cases at actual cost and we’re at the end of Moore’s Law and there are inherent limitations in LLMs so we’re kinda stuck except for burning needless energy and capital. The best thing for the actual good use cases isn’t better discourse, it’s a bubble pop.

There's such a vibe of 'we have to meet MAGA halfway' about this. By the way, are they still generating CSAM on X? Because the only constructive conversation about that is 'let's burn it with fire' and anyone who thinks otherwise does not deserve respect.

You see some academic or policy communities mourn that their discipline never really arrived on here. I think good AI criticism did arrive here, but has largely withered away/been driven off by one specific subset of criticism which I personally don't find particularly interesting or convincing.

Same experience here. I don't want to talk that much about #LLM s here because of the knee-jerk reactions, even from people whose opinions I value and would like to follow in other topics (which is why I haven't started blocking and muting them). bsky.app/profile/jmko...

Janne M. Korhonen@jmkorhonen.fi

I have the exact same experience from leftish/liberal experts, researchers, officials, and expert organisations in Finland: they are far more pragmatic about #LLM s than what is the average in BlueSky. And we are working out ways to use these powerful tools for public good and progressive purposes.

Is it fair to call them 'AI critics' rather than sceptics, because I think it was the sceptics who met the critics/obstructionists here who arent really interested (as with lots of SM) in a good faith discussion?

OK James, you put that data center in your backyard and then come talk to us OK seriously. Where is the nearest data center to where you live? How many more do you want in your area because if you’re not willing to support a data center in your backyard, you’re not supporting AI

As an ND person I find Copilot incredibly helpful as a starter for 10. I throw in my brain work shit & ask it to help sort it out. This might involve multiple (10’s) of iterations. So please don’t tell me I’m crap for finding this v helpful. I’ve heard I’m crap too much in my life already.

Hey man do you think we are also not bored and frustrated by having to constantly repeat ourselves all the time? Do you think that anyone who is harmed by this stuff actually wants to spend tons of their own time trying to convince people in your position? Because I assure you: it actually sucks!

People need to make a habit of openly disagreeing with people who share their conclusions but have arrived at them for the wrong reasons. I'd call myself an AI sceptic (I think it's not as good or useful as people believe) but also despair a lot of the misinformed critique.

I don’t know what we’re supposed to do with this, mate. You telling me they can tolerate all the horrendous things that get posted on Twitter, & pay for the privilege of having it forced upon them, but can’t tolerate being disagreed on AI on here? What are we meant to do with that?

There are so many angles to AI. There is the ability to speed up research (both socially useful and harmful outcomes). There is its impact on the society, economy and environment. All interesting and valid discussions. Sadly what you get here is often AI is evil and supporters are bad people!

There isn't just one thing, one category. None of it qualifies as AI. There are a number of Machine Learning Models and implementations, some of them, dealing in quantifiable outcomes, are very efficient. Those dealing with Language and Transform are great leaps but they don't have intelligence.

It IS pretty much useless for the everyday person. AI is only good for a set number of things. Frankly I would LOVE to see every LLM shut down and an unequivocal ban on new ones being developed unless and until some hard legal and enforceable limitations are set to keep them behaving.