• 0 Posts
  • 37 Comments
Joined 2 years ago
cake
Cake day: September 5th, 2023

help-circle




  • I’m getting old so there have been a few.

    Super Mario World (SNES) - my first video game and the reason I eventually wanted to learn about computers

    Final Fantasy VIII - my parents accidentally bought this for me instead of VII that I asked for. It was not a good impact, it was during formative years of my life and I looked up to the broody/loner main character and tried to emulate him, but in real life that just made me act an asshole and be lonely

    World of Warcraft - this was probably an addiction and took too much of my college life. Haven’t played an MMO since I quit. Still reminisce about it.

    SimCity 4 - forced me to think about systems, which I think indirectly shaped my career path

    Kerbal Space Program - made orbital mechanics intuitive and made me interested in all things space


  • The answer is you’re a meat robot! We’re all just chemical gradients that learned to think.

    A lot of people find this really existentially problematic but I think it’s fascinating. It’s even more fascinating that the meat doesn’t like thinking about it’s meathood, and developed bits of brain meat specifically to think about souls & gods instead of reality.






  • Returns are not a right, no retailer is required to accept them. Most do it for a better shopping experience, people are more likely to spend if they know they can return.

    You are protected from defective or dangerous products, but that’s through the manufacturer’s warranty. You are also protected from products that do not work as advertised. I think that’s a law in most countries.

    But returns for other reasons like bad clothing fits or you just don’t like it are not legally protected for the most part. There are some exceptions but they’re specific.

    So to say restocking fees are greedy is silly.



  • No it’s more of a technical discussion. Many people might believe that in order to avoid toxicity, you just train a model on “good” non-toxic data and then apply toxicity removal techniques to address emergent toxicity that the model might spit out. This paper is saying they found it more effective to train the model on a small percentage of “bad” toxic data on purpose, then apply those same toxicity removal techniques. For some reason, that actually generated less total toxicity. It’s an interesting result. A wild guess on my part, but I’m thinking training the model with toxic content “sharpened” the toxicity when it was generated, making it easier for those removal tools to identify it.







  • Nah that’s been proven as bullshit. In ICE vehicles brakes will always win vs engine torque. Just think; how quickly does your car go from 0-60, and how quickly can it go from 60-0? Brakes are just more powerful than ICE engines in production cars. They have to be to meet braking distance regulations. So, even with the accelerator down and engine going full throttle, brakes should still stop a car.

    Now I’m not sure about electric cars, some of them have incredible torque and are designed to use regenerative braking. The disk brakes might just be supplemental and not strong enough.


  • This concept is very often misinterpreted by these tech CEOs because they’re terrified of becoming the next Yahoo or Kodak or cab company or AskJeeves or name any other company that was replaced by something with more “innovation” (aka venture capital). It’s all great they’ll lose wealth.

    The underlying concepts are sound though. Think of a small business like a barber shop or restaurant. Even a very good owner/operator will eventually get old and retire and if they haven’t expanded to train their successor before they do, the business will close. Which is fine, the business served the purpose of making a living for that person. Compare with McDonalds, they expanded and grew so the business could continue past the natural lifetime of a single restaurant.

    A different example of stagnation is Kodak. They famously had the chance to grow their business into digital cameras early on, their researchers and engineers were on the cutting edge of that technology. But the executives rejected expansion in favor of sticking with the higher profit margins (at the time) of film cameras. And now they’re basically irrelevant. Expanding on this example, even digital cameras are irrelevant, within 20 years of Kodak’s fall. The market around low- to mid-end stand-alone cameras had disappeared in favor of phones.

    So the real lesson is not so much infinite growth like these tech CEOs believe in, the lesson is adaptability to a changing world and changing technology, which costs money in the form of research, development, and risk taking trying to set up production on products you’re not sure will sell, but might replace your current offerings.