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Joined 8 months ago
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Cake day: January 3rd, 2024

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  • Yeah. There’s a very narrow corner that demands huge models, and that’s use cases where there’s no room for mistakes. That space is exciting, but also deeply bogged down in uncertainty, due both to laws and as-yet-undelivered, but 100% certainly coming-soon, law-creating-disasters.

    Everywhere else, I suspect we’ve seen as good as we’re going to get, from current generation AI.

    Tech firm CEOs know this too, but there’s not much interesting on the table to “bet the farm” on to court “swing for the fences” investors (gullible suckers) right now.






  • As someone often paid to think like a criminal ( in order to stop criminals ), these look like a prime opportunity for a violent cartel to both stock up on ammo and launder money.

    Come to think of it, that may be a meta-joke I missed in Borderlands.

    The photo recognition ought to put a bit of a damper on it, but I feel like a motivated “investor” could find work-arounds (or just unwitting “mules”).





  • As someone else said, Pixel for Pixel analysis is probably too much compute time for them to bother. But they can do a quick checksum on the file, and they probably do.

    Whether the image seriously affects your online fingerprint is mostly about whether a lot of users or only a few users use that exact profile picture.

    If they few users have that exact profile picture, then it’s likely that they have a behavior tracking data set assigned to it, in case it’s valuable later.

    It’s not that someone is sitting in a room correlating and judging your choice of picture. It’s just that every aspect of your web browsing that can be cheaply tracked and correlated is tracked and correlated.

    An image that too many people use is likely also correlated, but won’t be heavily weighted in deciding that traffic is yours, because the error rate is too high.

    That’s why I always set my profile image to “Mickey Mouse” while I listen to music by The Beatles. It makes me invisible. Also I just really like Mickey Mouse.





  • I’ll take “Organizations that made it to the top by doing something different, only to fall under leadership that doesn’t understand what made them successful and descend into ruins” for 200, Alex.

    Seriously, Jeopardy team - this is a rich category:

    • Netflix advertisements.
    • Zoom mandates staff return to offices.
    • Microsoft forgets what the “P” in “PC” stands for.
    • Toys R Us implements a shitty holiday gift returns policy.
    • Sears decides to sacrifice reputation for quarterly stock price gains.
    • Walgreens decides bottom-of-the-barrel incompetent pharmacists can uphold their “get it all done in one visit” secret sauce.
    • Radio Shack decides that once-every-two-years cellphone contract sales are the future for holding passionate electronics hobbyists’ loyalty.