The machines are fine. I'm worried about us

(ergosphere.blog)

15 points | by hmpc a day ago ago

3 comments

  • k310 a day ago ago

    Learning by doing and doing by learning are how we grow. It's why I play a piano instead of just listening to internet radio stations.

    I was on a particularly miserable job, where the boss would pull people off the project, in order of competence. When it got down to two of us, I ended up doing twice the work because my "helper" would look up answers, call friends, and use a GUI tool to edit disk partitions. They all overlapped and I ended up redoing all his work. It was ridiculously easy and accurate on the command line.

    He learned squat. I don't know and I don't care if Claude is better at partitioning disks nowadays.

    I can't say at this point if a life of learning beats a life of button-pushing, though my own choice was and is obvious. And I am glad of the opportunity to learn from people like Larry Wall, and to share whatever I've accomplished and how I've done it, with others on the journey.

    I also get an inkling that the core of life is in the learning and growing. We somehow got into a world of troubles, equipped with the brains and strength to solve problems. It's not just in a Twilight Zone episode. A Nice Place to Visit [0] where one finds that our vision of heaven, where all is done for us, and nothing goes wrong; no challenges and no problems to solve, is in fact hell.

    After all, what would a Creator want for his/her creations? The ability to create on their own. Else, one "creates" by getting the machine to do it (I know, it's never "just right" and needs human work, but isn't that exactly what billions are being spent on?) until ...

    "There's nothing left to do."

    And I'm still driving long distances and doing the dishes.

    People used to do those things, and after hundreds of years, machines still can't do lots of "simple" things right

    And where's my damn exoskeleton? Empower ME! Please!

    Give me the machine's muscles rather than giving the machine my brain. Secret: it has some flaws.

    [0] A_Nice_Place_to_Visit

    • yetihehe 12 hours ago ago

      > I also get an inkling that the core of life is in the learning and growing.

      Wait until you learn, that not everyone likes learning and growing. I like to learn too, but apparently I'm not normal.

      > And I'm still driving long distances and doing the dishes.

      > People used to do those things, and after hundreds of years, machines still can't do lots of "simple" things right

      My washing machine begs to differ. Maybe some things are not as simple? Sometimes we have wild expectations of what machines should be able to do.

      > Give me the machine's muscles rather than giving the machine my brain.

      And then your own muscles will atrophy. I already use a machine to split wood, it's much easier than using just muscles. Then I have to move that wood from pile to machine, then to another pile. If another machine would do that for me, I wouldn't use the muscles, but I need them to burn all the energy that my oh so pleasurable food gives me. So I would need to go for a stupid walk so my stupid body doesn't atrophy. And to think that some people like to walk and run... Just like I like to learn.

      Now thanks to AI I will have to use my stupid brain for stupid tasks so that I won't be even more stupid.

  • stego-tech 3 hours ago ago

    Really good piece. I don't have direct experience in Academia, but I can see similar incentives and outputs in everyday life.

    I see it in people who will put highway traffic at risk of accidents so they don't miss the turn the GPS pointed out, having not bothered to do the work of learning fundamental navigational skills - or gladly outsourcing them to the machine and leaving them to decay.

    I see it in people who giddily challenge the expertise of others because the machine gave them the support needed to reinforce pre-conceived opinions. What is now ChatGPT used to be TikTok, used to be Podcasters, used to be Instagram, Facebook, Google, Yahoo, TV talk shows, supermarket tabloids.

    I see it in a cadre of leadership who blindly seize upon the latest Gartner reports to justify every single decision they "made", and feel they owe nobody an explanation because of their title or place in the hierarchy.

    I see it in my own damn landlord, blindly following what a machine told them to charge for rent this year until I actually walk them through the financials involved and negotiate a more reasonable rate. How they charge for parking in a facility that's over half-empty, then wonder why residents never have visitors or why fire lanes are always blocked with parked cars overnight.

    Hell, it's visible in the financialization of every fucking thing because the machines said we should charge $$$ for X and only pay our workers $ and how come people aren't buying shit anymore?

    The narrative for the past hundred years has been that the machines should be trusted to do the right thing. That if you were replaced by a machine, it's because you made bad choices in life. GPS will never fail you, Google has all the answers, the "real" media is on socials, chatbots are smarter than scientists, and the stock market is the absolute best indicator of economic health.

    And humans have behaved accordingly, because the incentives - or lack of disincentives - foster those outcomes. There's no need to learn basic orienteering when the GPS gets you there; there's no need to learn to search effectively when a chatbot or search engine spews out an answer 9 times out of 10; there's no need to understand your industry or organization when there's a consultant report right there, replete with recommendations for solutions to that problem you didn't know you had.

    We have built an entire society that all but deters and punishes critical/Nth-order thinking. There's no incentive to learn new skills when machines dispense a "good enough" answer with a dopamine hit, and it's plainly visible in the slop of selfishness displayed by people out there. We can't very well close Pandora's Box or get rid of the machines, so we must instead figure out how to incentivize deep, critical thinking across the populace again.