and it's here today. No homelessness. No medical bankruptcy. No food insecurity. Affordable education. Decent places for everyone to live.

Nvidia is therefore a bubble. This article is complaining that Europe is an obstacle to further bubble inflation.
No amount of Nvidia etching IP onto wafers is worthy of a 4.6 TRILLION market cap - bigger than the 4.2 Trillion market cap of the ENTIRE name-brand pharmaceutical industry.

...tax the fuck out of the rich. Given the massive wealth transfer from the lower and middle classes upward in the last 2 decades, the rich were the primary beneficiaries of the debt. They won't of course because British pols are comparably as feckless and owned as American ones.

...a new study has determined that water is wet.

E-fuels will be so expensive that only supercar owners will be able to afford them. We're talking $20 per gallon or more. Nor do they solve the problem of local air pollution.

Thinking deeper on it, you might be a prime example of how captialism is indeed a cult. Thanks for the sermon buddy, but you proved the opposite of your point. Capitalism in practice is always a matter of power and favoritism, and a key attribute is pretending it's an equalizer while making systemic inequality worse. The numbers, and history, back this up in every conceivable way. Pretending communism is just theology while capitalism is "science" is disingenuous, arguing in bad faith, and fucking laughable. Might as well be arguing astrology vs astronomy with a fortune-teller.

You're entitled to be as wrong as you like

Nearly got canned for defending them on slashdot during the quiet period pre-IPO.

DivX's Stage6 *could* have put us 10 years ahead of where we are now media-wise with regard to revenue share, remix culture, and media company profits for streaming even... if the asshats at companies like UMG, and in particular UMG itself, could have worked with technology instead of losing their paranoid, backwards minds over it.

Fuck UMG.

...but home grown backdoors are just peachy keen!

Officially unintended, but in practice... clearly core to its premise.

Somebody should ask the CEO of IBM how many he thinks they'll sell. I'm guessing maybe five...

I'd say you can pick one over the other. Choose to spend your next 10 minutes without money or without air.

Macroeconomic trends toward employment are not the same as microeconomic trends of job replacement, particularly in specific sectors or roles. Like everything anti-AI, the goal posts will be moved as AI improves... but it has proven consistently able to broaden its reach and capacity over time. Workers who are displaced to be underemployed (but still employed), or ones who list themselves as no longer actively looking for work, would result in exactly what we are seeing.

Translation and transcription are nearly gone as a job. Legal document review. Vibe coding. A World Economic Forum survey said 41% of employers are currently intent on reduce staffing over five years due to AI automation. Indeed reports a 36% drop in tech job postings since early 2020. Sure, you can blame that on macroeconomics... but they didn't see the same drop in other sectors. A 2023 UChicago/Manning/Eloundou study found ~80% of U.S. workers have at least 10% of tasks potentially affected by LLMs, and ~19% may see 50% or more of tasks disrupted. About 47–56% of tasks are automatable with *current* LLM tools. There is no logical reason for a business to hire more people when work productivity can be doubled in some cases with AI use.

That's mostly current case. If you include projections, the concensus is more dire. If you track this consensus into the past, it likewise paints a clear picture of trajectory.

[citation needed]

The mass layoffs using LLMs as a stated reason begs to differ. I'm willing to consider I'm wrong on this, but I don't think I am. Anecdotes about specific organizations misapplying it aren't a credible counterpoint to the overall trend, which is massive.

It sounds vaguely like you're contradicting me, but your statement actually supports my original point of AI literacy being a core skill. You hone a skill by exercising it and getting feedback.