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Cake day: February 2nd, 2024

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  • New piece from Baldur Bjarnason: AI and Esoteric Fascism, which focuses heavily on our very good friends and their link to AI as a whole. Ending quote’s pretty solid, so I’m dropping it here:

    I believe that the current “AI” bubble is an outright Neo-Nazi project that cannot be separated from the thugs and fascists that seem to be taking over the US and indivisible from the 21st century iteration of Esoteric Neo-Nazi mysticism that is the TESCREAL bundle of ideologies.

    If that is true, then there is simply no scope for fair or ethical use of these systems.

    Anyways, here’s my personal sidenote:

    As I’ve mentioned a bajillion times before, I’ve predicted this AI bubble would kill AI as a concept, as its myriad harms and failures indelibly associate AI with glue pizzas, artists getting screwed, and other such awful things. After reading through this, its clear I’ve failed to take into account the political elements of this bubble, and how it’d affect things.

    My main prediction hasn’t changed - I still expect AI as a concept to die once this bubble bursts - but I suspect that AI as a concept will be treated as an inherently fascist concept, and any attempts to revive it will face active ridicule, if not outright hostility.




  • Baldur’s given his thoughts on Bluesky - he suspects Zitron’s downplayed some of AI’s risks, chiefly in coding:

    There’s even reason to believe that Ed’s downplaying some of the risks because they’re hard to quantify:

    • The only plausible growth story today for the stock market as a whole is magical “AI” productivity growth. What happens to the market when that story fails?
    • Coding isn’t the biggest “win” for LLMs but its biggest risk

    Software dev has a bad habit of skipping research and design and just shipping poorly thought-out prototypes as products. These systems get increasingly harder to update over time and bugs proliferate. LLMs for coding magnify that risk.

    We’re seeing companies ship software nobody in the company understands, with edge cases nobody is aware of, and a host of bugs. LLMs lead to code bases that are harder to understand, buggier, and much less secure.

    LLMs for coding isn’t a productivity boon but the birth of a major Y2K-style crisis. Fixing Y2K cost the world’s economy over $500 billion USD (corrected for inflation), most of it borne by US institutions and companies.

    And Y2K wasn’t promising magical growth on the order of trillions so the perceived loss of a failed AI Bubble in the eyes of the stock market would be much higher

    On a related note, I suspect programming/software engineering’s public image is going to spectacularly tank in the coming years - between the impending Y2K-style crisis Baldur points out, Silicon Valley going all-in on sucking up to Trump, and the myriad ways the slop-nami has hurt artists and non-artists alike, the pieces are in place to paint an image of programmers as incompetent fools at best and unrepentant fascists at worst.




  • New piece from Brian Merchant: ‘AI is in its empire era’

    Recently finished it, here’s a personal sidenote:

    This AI bubble’s done a pretty good job of destroying the “apolitical” image that tech’s done so much to build up (Silicon Valley jumping into bed with Trump definitely helped, too) - as a matter of fact, it’s provided plenty of material to build an image of tech as a Nazi bar writ large (once again, SV’s relationship with Trump did wonders here).

    By the time this decade ends, I anticipate tech’s public image will be firmly in the toilet, viewed as an unmitigated blight on all our daily lives at best and as an unofficial arm of the Fourth Reich at worst.

    As for AI itself, I expect it’s image will go into the shitter as well - assuming the bubble burst doesn’t destroy AI as a concept like I anticipate, it’ll probably be viewed as a tech with no ethical use, as a tech built first and foremost to enable/perpetrate atrocities to its wielder’s content.