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Joined 2 years ago
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Cake day: June 10th, 2023

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  • I like how you think but I’m not sure if that alone will hold water. A variable can vary wildly even though it’s not very relevant to the property you’re interested in, and PCA would consider such a variable to be very significant. Perhaps a neural network could find a latent space. But ideally we want the components to have some intuitive meaning for humans.


  • I’ve been thinking about this now and again. IMO gender, if one insists on tracking it at all (which I mostly find counterproductive), would need to be a vector / tuple of floating-point values. The components would be something like:

    1. Sexual Development Index: Encodes chromosomal sex, genitalia, and other primary sexual characteristics (X/Y chromosome ratio).
    2. Hormonal Balance & Secondary Sexual Characteristics: Combines hormonal levels and the resulting secondary traits (body hair, muscle mass, etc.).
    3. Brain Structure: A dimension indicating how a person’s brain structure aligns with typical male or female patterns.
    4. Gender Identity: A measure of self-identified gender, representing the psychological and social dimension.
    5. Fertility/Intersex Traits: A combined measure of fertility potential and the presence of intersex traits (e.g., ambiguous genitalia, mixed gonadal structures, etc.).

    Ideally it would track the specific genes that code for all of the above factors, but unfortunately science hasn’t got those down yet.





  • Philip K. Dick wrote a short story (“Autofac”) in which autonomous, self-replicating factories continue to operate and produce goods long after a global war has wiped out most of humanity, and they eat up all remaining resources on earth in doing so. I worry that there’s a system in which a few extremely rich people can continue thriving without involvement of most of humanity, and that they’re (knowingly or unknowingly) moving society in that direction. Who needs the commoners when AI and algorithms can simulate them.

    IIUC the calculation of GDP doesn’t factor in whether the produced goods serve a human need - the system can in theory continue to optimize for ever-increasing GDP while every human on earth starves to death.






  • tias@discuss.tchncs.detoTechnology@lemmy.world*Permanently Deleted*
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    3 months ago

    Kagi has good search results and they are presented well. It also has some useful features like forbidding certain sites and prioritizing others. I like that by paying I’m the customer and not the product. And their “small web” initiative is commendable.

    That said, I’ve been a customer for nine months on an annual subscription, and I will not be renewing. The first reason is that I find them just too expensive for what they do. The second is that, even being that expensive, they’re not breaking even. That undermines my trust in their future as a search engine and makes me less interested in paying a little extra for a good cause.



  • It’s wild that they are not breaking even with these prices. I’ve had an annual subscription since January and made nearly 5000 searches. Extrapolating to a year, I will have been paying about $0.17 per search. If that would go to the electricity bill then it corresponds to about 1 kWh of energy per search, enough to run a 50-watt laptop PC for 20 hours.






  • tias@discuss.tchncs.detoTechnology@lemmy.world*Permanently Deleted*
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    3 months ago

    Only because bugs are defined as errors in implementation details. You can still have errors in your design (sometimes referred to as design bugs).

    It’s not about “entrusting” to AI any more than I would be entrusting important code to a junior developer to just go off and push to production on his own. We still have code review, pair programming etc. As I said, I read the output code, point out issues with it, and in the end make manual adjustments to fit what I want. It’s just a way of building up the bulk of the code more quickly and then you refine it.