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Cake day: July 29th, 2023

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  • Of all the environments that you might want to rearrange to facilitate non-humanoid labour, surely warehouses are the easiest. There’s even a whole load of pre-existing automated warehousing stuff out there already. Wheels, castors, conveyors, scissor lifts… most humans don’t have these things, and they’re ideal for moving box-like things around.

    Industrialisation and previous waves of automation have lead to workplaces being rearranged to make things cheaper or faster to make, or both, but somehow the robot companies think this won’t happen again? The only thing that seems to be different this time around, is that llms have shown that the world’s c-suites are packed with deeply gullible people and we now have a load of new technology for manipulating and exploiting them.






  • For a lot of this stuff at the larger end of the scale, the problem mostly seems to be a complete lack of accountability and consequences, combined with there being, like, four contractors capable of doing the work, with three giant accountancy firms able to audit the books.

    Giant government projects always seem to be a disaster, be they construction, heathcare, IT, and no heads ever roll. Fujitsu was still getting contracts from the UK government even after it was clear they’d been covering up the absolute clusterfuck that was their post office system that resulted in people being driven to poverty and suicide.

    At the smaller scale, well. “No warranty or fitness for any particular purpose” is the whole of the software industry outside of safety critical firmware sort of things. We have to expend an enormous amount of effort to get our products at work CE certified so we’re allowed to sell them, but the software that runs them? we can shovel that shit out of the door and no-one cares.

    I’m not sure will ever escape “move fast and break things” this side of a civilisation-toppling catastrophe. Which we might get.


  • Reposted from sunday, for those of you who might find it interesting but didn’t see it: here’s an article about the ghastly state of it project management around the world, with a brief reference to ai which grabbed my attention, and made me read the rest, even though it isn’t about ai at all.

    Few IT projects are displays of rational decision-making from which AI can or should learn.

    Which, haha, is a great quote but highlights an interesting issue that I hadn’t really thought about before: if your training data doesn’t have any examples of what “good” actually is, then even if your llm could tell the difference between good and bad, which it can’t, you’re still going to get mediocrity out (at best). Whole new vistas of inflexible managerial fashion are opening up ahead of us.

    The article continues to talk about how we can’t do IT, and wraps up with

    It may be a forlorn request, but surely it is time the IT community stops repeatedly making the same ridiculous mistakes it has made since at least 1968, when the term “software crisis” was coined

    It is probably healthy to be reminded that the software industry was in a sorry state before the llms joined in.

    https://spectrum.ieee.org/it-management-software-failures



  • Stuff like this is particularly frustrating because this is one of they places where I have to grudgingly admit that llm coding assistants could actually deliver… it turns out that having to state a problem unambiguously and having a way in which answers can be automatically checked for correctness means that you don’t have to worry about bullshit engines bullshitting you so much.

    No llm is going to give good answers to “solve the riemann hypothesis in the style of euler, cantor, tao, 4k 8k big boobies do not hallucinate” and for everything else the problem then becomes “can you formally specify the parameters of your problem such that correct solutions are unambiguous” and now you need your professional mathematicians and computer scientists and cryptographers still…