Skip Navigation

InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)KI
Posts
0
Comments
185
Joined
2 yr. ago

  • I couldnt agree more. I have totally underestimated how nutty religious people truly are. I used to think Christians are good neighbours and boring law abiding citizens, but when push comes to shove and you really need them it turns out that they are just nutcases who are very adept at playing the good neighbour role. At least that has been my experience. I just can't trust adults who believe in fairy tales anymore.

  • Perhaps you are half joking or not, but I used to think like this in my younger years. I spent a heck of a lot of time in my 20s and 30s doing all the bucket list stuff. Bunch of sex, drugs, traveling, wild adventures, starting a company, etc. Having gone through that I can tell you that I am much happier now than I was when I thought all those bucket list items were going to make me happy. Sure, they felt good and some were amazing, but it wears off and before you know it you're chasing the next thing again.

    A while ago I came across a nice, although a somewhat simplistic, equation that said that happiness equals the number of things you have divided by the number of things you want. I find that wanting less is a much easier route to increase that metric than getting more. Easier said than done though, but I found that silent meditation retreats do the trick for me.

  • Maybe this is an unpopular opinion, but I don't think working till very late age is a bad thing. I don't expect to be sitting on my ass whole day long by the time I get to retirement age. What I do think is a bad thing is if by that time I am financially struggling to get by.

  • I'd like people to make a distinction between AI and machine learning, machine learning and neural networks (the word deep is redundant nowadays). And then have some sense of different popular types of neural nets: GANs, CNN, Transformer, stable diffusion. Might be nice if people know what is supervised unsupervised and reinforcement learning. Lastly people should have some sense of the difference between AI and AGI and what is not yet possible.