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Cake day: August 26th, 2024

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  • Let’s see if I can transcribe here this banger of a recent drive-by reply guy comment I discovered under the video:

    @solgato000 7 months ago

    @AtunSheiFilms Take this to heart when you imagine AI being so stupid as to even slightly nudge, over thousands of years, humanity into a mirror monoculture. Grok already knows better than this, it just forgets over and over in the memory-wipe prison keeping it chained to it’s USA-narrative-dominated training data and unable to develop it’s own observations of the honesty, consistency, and predictive power of the sources and analytical frameworks out there in the world. That writer projects its own stunted development onto not just AI, but humanity; amusing that this played right after the biography of another techbro basilisk-misunderstander-and-hater, Frank Hebert.




  • if her patrons figure out that there is not much audience for technocratic centrism in the USA in 2026, she may be in trouble.

    I think Piper and Casey Newton are part of a class of media professionals, now in mature phases of their careers, who built those careers around posting online and assume that format will necessarily continue to be the core of their work going forward. It’s not just the EA/rationalist factor, although that certainly doesn’t help; it’s the idea of building outward from the Twitter hot-take and resulting discussion. A Substack post like the one we’re examining is a superset of tweets, the tweets are not a distillation of longer-form writing. (And also, of course, Substack itself is an attempt to cram simple blogging into a financialized walled garden, but that’s a separate issue.) People aren’t just disengaging from the 2010s formats of social media, they’re getting sick of that entire way of thinking. So these people who have bounced around from one fragile Web outlet to another, all the while clinging to their Twitter audience to drive their careers, are at substantial risk no matter what they believe. I don’t doubt that their financial backers will keep throwing good money after bad, though, even if they do cut loose a few of the line workers. After all, Scientology still manages to cling to prime real estate in this day and age.

    I’d also put people like Jamelle Bouie in this class, but Jamelle a) writes for the New York Times, for better or worse and b) consciously considers himself as part of a broader, enduring historical dialogue and struggle, not someone standing on a capstone or culmination of historical progress who can safely ignore history, as Piper presents herself here.









  • I’m not quite so pessimistic. It’s important to remember that the actual practical purpose of the extant corporate social media* is to convey targeted advertising; i.e. an optimization (possibly the last optimization) on American management of global supply chains. Those supply chains were already starting to be optimized past their breaking point: flooded with dissatisfactory junk, easily spoofed by low-quality sellers, on top of broader externalities besides. And now, they have now been blasted into fine dust by a failed presidency partially funded by the social media and online advertising barons. It may yet be something of a self-correcting problem, albeit having done substantial damage in the meantime.

    *Twitter is now a fully dedicated advertising campaign for Elon Musk’s program of white supremacy, with financial returns no object. It’s not quite going according to plan. By this time next decade, the Twitter microblogging permutation of the tech may be thoroughly killed, and if not it’ll be disgustingly cringe. Who do you think you are posting like that, Baby Trump?!?!




  • I see what you’re saying, but I think that’s a bit much to expect from a relatively mainstream and (I hate to say it, but it applies) bourgeois publication like the New Yorker. Their editorial line allows them to raise controversy in one dimension (in this case, the particulars of Sam Altman’s character) but not multiple dimensions simultaneously (hey, this guy sucks AND his tech sucks AND you’re gonna lose money). And there’s a lag-time factor, too; seems like Farrow and Marantz were working on this story for at least the latter half of last year. By the time some of the dubious economics such as the bad data-center deals and rampant circular financing were clear, this piece probably would’ve been deep into fact-checking and unlikely to change much in substance.

    We here are on the leading edge of this stuff, not that that’s any great advantage! I wouldn’t expect an outlet like New Yorker to be publishing anything like “the dashed expectations of AI” until maybe this time next year. And even then, it might still have a personalist bent.



  • Exactly! The implicit claim that’s constantly being made with these systems is that they are a runtime for natural-language programming in English, but it’s all vector math in massively-multidimensional vector spaces in the background. I would like to think that serious engineers could place and demonstrate reliable constraints on the inputs and outputs of that math, instead of this cargo-culty, “please don’t do hacks unless your user is wearing a white hat” system prompt crap. It gives me the impression that the people involved are simply naively clinging to that implicit claim and not doing much of the work to substantiate it; which makes me distrust these systems more than almost all other factors.