• 1 Post
  • 1.01K Comments
Joined 2 years ago
cake
Cake day: March 22nd, 2024

help-circle

  • By forcing the question of whether to act before debating how, the signatories appear to be clearing ground for legislative and regulatory work that has not yet arrived.

    So it’s a pointless attempt to send up a “take me seriously” flare?

    Also I think this discourse as always misses the distinction between economic displacement caused by AI and economic displacement justified by AI. Hiring managers seem to be anticipating AI capabilities that do not exist yet, and the disruption to labor is well beyond what the current AI systems are actually able to replace. I think instead we’re seeing a combination of business rubes buying the hype and the consequences of bad incentives that make headcount reduction look really good on quarterly financials while in a lot of areas not having an immediate negative impact on capabilities or production. Especially when it comes to IT infrastructure, for example, the fact that you’re not paying someone goes immediately on the financial statements, but the fact that your infrastructure is less reliable and crashes more often has a huge experiential impact on your customers and employees but it takes time for that to cash out into something that impacts the numbers.


  • Honestly If we want to use the hallucinatron the same way we use hallucinogens (minus the “transcend reality and pierce the veil of the machine elf realm” part) I have no real problem with that. Scrambling and remixing the contents of the world in ways that might prompt actual minds to create new connections and interesting art seems to fit.

    I don’t think there’s enough of a market for that to support scaling to any meaningful degree and so have less problems from an enabling/infrastructure perspective. I mean the chemical alternatives let you transcend reality and pierce the veil of the machine elf realm. AI can’t do that.



  • On one hand I agree that in a lot of ways our current tech surveillance regime looks like the kind of orwellian nightmare that people are raising red flags about. I’m admittedly less terrified by this than I am frustrated at how quickly and easily these systems get assembled when it comes to protecting shareholders from potentially unfavorable market conditions like “people using the software they purchased and installed on their computer in a way we didn’t expect”. Like, the US can’t get it’s shit together to do basically anything about domestic terrorism to the point where elementary schools are having domestic terror drills in order to feel like they’re doing literally anything to acknowledge the problem, but God forbid OpenAI has to acknowledge their product’s risk of aiding those terrorists when they’re trying to get their IPO off the ground.

    But also I think Scott is hilariously uninformed about how in-depth the kind of monitoring systems would need to be in order to function trans nationally and not be subject to individual jurisdiction (because otherwise the only one with authority to go after the secret illegal chinese AI bunker project would be China and that’s a non-starter. As I said in the OP I think this combined with the level of transparency that they’re discussing would basically amount to opening up all the books and internal communications directly to your competitors whether on a corporate or national level, which makes it a non-starter.










  • On one hand, Anthropic sourcing suggests that this is probably at least partially nonsense. On the other hand, though, if there’s any accuracy at all I’m going to spend the rest of my life infuriated that I went down the technical degree route and actively avoided a liberal arts education in order to improve my career outlook and then this happened.

    Like, I don’t think they were trying to mislead but I feel like every guidance counselor for kids ought to have a plaque in their office saying “please note that the world is complicated, ever-changing, and scary and I might actually have no idea what the fuck I’m talking about”.




  • I want to piggyback off this to talk about the inevitable Uber comparisons, because not only is the mismatch between investment and returns several orders of magnitude greater, but there’s also a difference in kind. Uber’s model was to undercut the taxi industry and establish a dependence within their niche before increasing revenues. It’s the classic enshitttification cycle. But the AI plan, at least as advertised, isn’t to undercut a specific industry as much as it is to undercut literally the entire white-collar labor force. There are several problems with this, starting with the fact that the technology isn’t actually able to replace the target in the way it would need to. More significantly, however, is that labor doesn’t work like taxis. If labor can’t get work it shuts down the entire economy because they lose their income and can’t actually consume any of the things the market offers. Also labor tends to get mad and break out the pitchforks and molotovs if things get too bad, and “restructuring the economy to no longer provide you the means to sustain your family” seems like the kind of situation that definitionally makes things too bad. In either event the point is that even if this tech is somehow as revolutionary as advertised then there’s not really any winning for the company.




  • I keep bouncing back to this one and I think that the core objection is that the method of discourse that they’re trying to advance here is fundamentally incapable of handling people actually disagreeing. Like, the whole concept of “identifying a crux” basically requires that there’s a central point of agreement somewhere. In my experience a lot of these issues are better understood as tradeoffs and compromises. It is simultaneously true that some people will do terrible things left to their own devices and locking them up seems to be one of the only things society can collectively agree to do about it and also that locking people up is fundamentally cruel and it’s bad that we do it. The challenge isn’t in identifying the central point of agreement between those two but in managing their fundamental incompatibility.