• 0 Posts
  • 50 Comments
Joined 2 years ago
cake
Cake day: August 14th, 2023

help-circle







  • IMO it’s time for a reckoning of what’s systematic/automated vs what’s not.

    For example, “no expectation of privacy in public” meant you should be okay with appearing in someone else’s (manual) photo while out in public. However, I don’t think that should extend to persistent systematic surveillance, e.g. suppose every Tesla’s camera captures were combined with person recognition systems and tracking.

    Just because something is theoretically okay at a small scale doesn’t mean the same applies at large scales.

    Another example: Society funds public roads via government taxes for personal use and for regulated commercial use. Uber systematically consumes public road space under the guise of personal use vehicles, for commercial use.


  • First suggestion is impractical. Not going to be able to memorize 100 names to look up and research later

    Second suggestion should already be happening, but doesn’t capture the desired use case.

    The use case is this: in physical life, there is a gradient of “boundaries/leashes” to match maturity and development. For example, the gradient of movie ratings, or:

    • Very young - stay within arms reach/sight
    • Young - stay in the yard/park/neighborhood
    • Child - stick with what’s familiar, I’ll be nearby
    • Pre-teen - go and try it, I can be right there
    • Teen - go and try it yourself, call me if needed

    We could argue about whether a gradient is too steep or shallow, but the point is that one exists.

    In contrast, digital in many ways is very often all-or-nothing

    Not saying digital should be “gradient-ed” in all cases, that leads to tone-deaf rules and bad security practices. Just trying to show what the problem is


  • I think there is a difference. Because software is so flexible and quick to build, it’s orders of magnitude easier to build something known and understood.

    A promising startup with its systems in a knot, but their initial team is still on retainer? Brains can be picked, abstraction boundaries placed, surgical rewrites deployed. Despite the mess, they still understand it, and development can expand.

    It remains to be seen if AI-generated code is recoverable, if any existing strategies can be applied so humans can contribute, or if the company is forever beholden to AI providers to release a better AI to manage/improve what they’ve already got.




  • I think it’s unfortunately a tragedy of the commons/prisoner’s dilemma problem

    Simplifying, a single store is not going to be able to improve pay for all the underpaid members of society, but what they can do is run thinner margins while staying in business (pay employees less, spend more on security, etc). Paying only their own employees more also does little to reduce the overall chances of theft.

    Perhaps a better global equilibrium exists at higher wage rates, but there are limited options at local levels. For low-end wages, I think the downward pressure exceeds the upward wage pressure of the “free market” b/c the negotiation is between someone making a less profit vs someone failing to make a living – the negotiating power is not balanced. This is why IMO minimum wage to some degree is important.