Would you invest in commercial real estate, knowing there was a non-zero chance your tenants might come in one day to discover a thoroughly intoxicated JD Vance in a compromising position with the break-room furniture?
istewart
joined 7 months ago
Mesa-optimization... that must be when you rail some crushed-up Adderall XRs, boof some modafinil for good measure, and spend the night making sure your kitchen table surface is perfectly flat with no defects abrasions deviations contusions...
couldn't help myself, there are seldom more perfect opportunities to use this one
Another thread worth pulling is that biotechnology and synthetic biology have turned out to be substantially harder to master than anticipated, and it didn't seem like it was ever the primary area of expertise for a lot of these people anyway. I don't have a copy of any of Kurzweil's books at hand to look at his predicted timelines for that stuff, but they're surely way off.
Faulty assumptions about the biological equivalence of digital neural network algorithms have done a lot of unexamined heavy lifting in driving the current AI bubble, and keeping the harder stuff on the fringes of the conversation. That said, I don't doubt that a few refugees from the bubble-burst will attempt to inflate the next bubble on the back of speculative biotech, and I've seen a couple of signs of that already.
"This Is What Yudkowsky Actually Believes" seems like a subtitle that would get heavy use in a future episode of South Park about Cartman dropping out after one semester at community college.
Just had a video labeled "auto-dubbed" pop up in my YouTube feed for the first time. Not sure if it was chosen by the author or not. Too bad, it looks like a fascinating problem to see explained, but I don't think I'm going to trust an AI feature that I just saw for the first time to explain it. (And perhaps more crucially, I'm a bit afraid of what anime fans will have to say about this.)
Notwithstanding the subject matter, I feel like I've always gotten limited value from these Oxford-style university debates. KQED used to run a series called Intelligence Squared US that crammed it into an hour, and I shudder to think what that's become in the era of Trump and AI. It seems like a format that was developed to be the intellectual equivalent of intramural sports, complete with a form of scoring. But that contrivance renders it devoid of nuance, and also means it can be used to platform and launder ugly bullshit, since each side has to be strictly pro- or anti-whatever.
Really, it strikes me as a forerunner of the false certainty and point-scoring inherent in Twitter-style short-form discourse. In some ways, the format was unconsciously pared down and plopped online, without any sort of inquiry into its weaknesses. I'd be interested to know if anyone feels any different.
There aren't really many other options besides Springer and self-publishing for a book like that, right? I've gotten some field-specific article compilations from CRC Press, but I guess that's just an imprint of Routledge.
Considering Tesla's well-documented issues with functional door handles, this may be more accurate than you think
Marginally related, but I was just served a YouTube ad for chewing gum (yes, I'm too lazy to setup ad block).
"Respawn, by Razer. They didn't have gaming gum at Pompeii, just saying."
I think I felt part of my frontal lobe die to that incomprehensible sales pitch, so you all must be exposed to it as well.
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I have to agree. There are already at least two notable and high-profile failure stories with consequences that are going to stick around for years.
And sadly more to come. The first story is likely to continue to get a hands-off treatment in most US media for a few more years yet, but the second one is almost certainly going to generate Tacoma Narrows Bridge-level legends of failure and necessary restructuring once professionals are back in command. The kind of thing that is put into college engineering textbooks as a dire warning of what not to do.
Of course, it's up to us to keep these failures in the public spotlight and framed appropriately. The appropriate question is not, "how did the AI fail?" The appropriate question is, "how did someone abusively misapply stochastic algorithms?"