Earlier quoted context omitted.
I personally see it as: These companies subsidizing green energy expansion, because it's now the cheapest power to expand. These companies are going to help "correct" the widespread problem with utility monopolies, in the US. Datacenters are deploying their own power generation, partly because power cost no longer aligns with power generation costs . This mismatch is motivating research into local nuclear power gener…
> These companies subsidizing green energy expansion, because it's now the cheapest power to expand. Unless you consider natural gass green energy, it's quite the opposite for the moment. This is because the AI build-out is about speed, not cost-effectiveness. That is why xai's Colossus I & II were illegally running gas turbines, and Google recanted its pledge for data center renewables targets.
How accurate have Ed Zitron's AI skeptic predictions been?
411–420 of 1001 posts
Re: How accurate have Ed Zitron's AI skeptic predictions been?
#412Earlier quoted context omitted.
Man, as a former extreme skeptic, I watched a video from Eric Schmidt in early 2025 where he said that by the end of the year nobody would be coding, and that one was dead frickin on.
Dario Amodei and Eric Schmidt seem fairly well-calibrated, although a bit early. Elon Musk is constantly way, way overoptimistic (perhaps to the point of willful fraud). Zitron is hopelessly and ridiculously incompetent (and there are allegations he is willfully lying, too, but who knows).
Re: How accurate have Ed Zitron's AI skeptic predictions been?
#413He is a bit more of a PR person rage-farming disguised as a futurist. He's not optimizing for correct predictions. That's really hard and not his incentive. Look at his incentives. It makes more sense.
There's a demand for loud and confident "AI tech will fail" and "big tech will fail", so it pays to peddle the goods. A lot of people desperately want AI to be a nothingburger. Thus, they will seek a second opinion that just so happens to line up with their existing one. Wishful thinking at its finest.
Re: How accurate have Ed Zitron's AI skeptic predictions been?
#414I would be interested in seeing a similar list of predictions from Altman, Amodei, etc with annotations about how many have come true. Ed Zitron is a blow hard and frequently overstates things to the point where it is hard to take seriously, but so are the AI industry leaders. I have heard multiple breathless press releases warning that the end of white collar work is "just 6 months away" and that people not using th…
Re: How accurate have Ed Zitron's AI skeptic predictions been?
#415Earlier quoted context omitted.
As far as I'm aware, aside from toy prototypes, all software is still built by humans coding, albeit with better auto-complete.
This seems to be more a problem of your awareness than a lack of projects. Apart from every software engineer I know building almost completely with AI now there have been numerous projects posted on HN that are AI coded. There's also Claude desktop which is famously all AI built and very widely used.
Re: How accurate have Ed Zitron's AI skeptic predictions been?
#416I find it ironic, that one of the most memorable articles Dan Luu has written imo is about how futurists faked 'exponential scaling' about semiconductors, and we ran out of the 'good kind' of scaling, Dennard scaling a while ago, and people interested in maintaining the narrative have been making up marketing numbers, which are believable to outsiders, but not to those who know: https://danluu.com/futurist-prediction…
Re: How accurate have Ed Zitron's AI skeptic predictions been?
#417I would be interested in seeing a similar list of predictions from Altman, Amodei, etc with annotations about how many have come true. Ed Zitron is a blow hard and frequently overstates things to the point where it is hard to take seriously, but so are the AI industry leaders. I have heard multiple breathless press releases warning that the end of white collar work is "just 6 months away" and that people not using th…
Except that the AI industry leaders actually have skin in the game/are in the trenches and competing in the market. Ed Zitron wants you to subscribe to a newsletter so that you can read doom and gloom and...?
If you invested based on his advice, you'd have missed huge gains and/or lost money.
And I say this as a person who thinks most of the "AI industry leaders" are ethically questionable, at best, and ethically bankrupt, at worst, and that the stock market should be approached with caution due to valuations.
Re: How accurate have Ed Zitron's AI skeptic predictions been?
#418Earlier quoted context omitted.
As far as I'm aware, aside from toy prototypes, all software is still built by humans coding, albeit with better auto-complete.
It is all very unevenly distributed. SaaS and general web is basically on auto mode. A lot of infra is vibe coded nowadays too. Even prototypes are contributing to the speed of software development. Many people vibe code throwaway dashboards around the main platform which gives a lot of insights.
Re: How accurate have Ed Zitron's AI skeptic predictions been?
#419I would be interested in seeing a similar list of predictions from Altman, Amodei, etc with annotations about how many have come true. Ed Zitron is a blow hard and frequently overstates things to the point where it is hard to take seriously, but so are the AI industry leaders. I have heard multiple breathless press releases warning that the end of white collar work is "just 6 months away" and that people not using th…
I'd like to see an example of this.
I think Altman and Amodei have been quite sober with their actual predictions. They've said things like "models can now do white collar work" but haven't yet said it is the end of white collar work.
The closest actual quote to this was in In March 2025, Anthropic CEO Dario Amodei told a Council on Foreign Relations audience that AI would be writing 90 percent of code in three to six months, and essentially all of it within twelve months.
I think that he underestimated how long it takes for technology to get uptake but in terms of capabilities he was perhaps 6 months out. I'd say that Fable class models are definitely capable of writing essentially all software, and that was released June 2026.
Re: How accurate have Ed Zitron's AI skeptic predictions been?
#420Earlier quoted context omitted.
Dan Luu's piece talks about this! He gives the example of Ray Kurzweil, who is similarly catastrophically wrong about everything, just in the opposite direction as Zitron. Luu's point isn't that anti-AI analysis is bad; it's that Zitron is bad. Zitron is bad in this analysis no matter what Altman says. It could be the case that Altman is also bad.
The fact that you know Ed Zitron's name means that, regardless of his predictions being consistently wrong (which they are), his strategy for manipulating human attention has been correct. The question is whether he sincerely believes his own predictions or if he cynically is aware that you can create a career for yourself being a guy who says bombastic clickbait-worthy things people emotionally want to be true, inst…