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Posts
2
Comments
106
Joined
2 yr. ago

  • I fully agree with you and that sounds like a great idea. It sent me down a chain of thought that I find interesting. Say we implement this, CEO A does their job, but shortly before their time is up, they discover something awful. They are about to leave, so they want the next 1-5 years to be rosy, so they do some extremely unethical bullshit to ensure that and hide the problem just long enough for the next guy to take the fall. CEO B, who took over when A left, figures out the awful thing, but it's been long enough that they kind of have no choice but to continue the unethical bullshit, to ensure their compensation when they leave. And so on with CEO C and D. That's a feasible possibility to me and I also just realized they probably do that now, just on a shorter timescale. All in all I'd say the long term shit is probably better on the whole. Ooooor we could do something besides give one schmuck executive feudal authority over a bunch of people's livelihoods. Maybe like some kind of democratic system.

  • That's not actually correct. Some of our cells have high turnover, but many of our cells surprisingly don't. The obvious example is nerve cells, which stop replicating at some point in our development and we have the same set for the rest of our lives (probably with caveats as always). A more surprising example is skeletal muscle cells, which except for specific circumstances, don't divide. We pretty much have the same number of muscle cells our whole lives, they just grow and shrink in response to training or lack thereof, again with caveats. Another example is fat cells. Most people also don't get new fat cells, but some people can make new fat cells, so it's even complicated for that one example. So to tie things up, you don't actually replace all of your cells every 7 years, and in fact the cells that are some of the most important to your survival generally never get replaced.

  • I don't doubt that mathematically, but practically that sounds like it would be functionally equivalent to just retraining the model. Like if it were more efficient to just calculate the model weights based on input data, that's what we would do, there would be no need to go through the training process. We could just start with a completely untrained model and calculate the difference between that model and one that was trained with all the data. The more I think about it the more I doubt that mathematically. The feasibility of this would depend heavily on the details of the model and how it was trained. Lots of times the order in which the data was presented during training has an impact on the final result, so there's no guarantee your subtraction would achieve the same or even similar result as retraining without the specified data. Maybe you can reference some papers on the topic.

  • Trans generally means a man born in a woman's body or a woman born in a man's body. People who are trans prefer to be treated as the gender they are inside, whether or not they appear to be that gender externally, just like traditional men would take offense to being referred to as she or her. It's fine to see people as just people but you should acknowledge that you wouldn't want to be referred to as the wrong gender and neither do trans people.

    Two-spirit appears to be more of an umbrella term for native American third genders, with no single general meaning. The third gender part appears to be important, meaning they are neither male nor female on the inside, regardless of what gender they may appear to be. Take this with a grain of salt since this is the first time I've heard the term and just looked it up. There appears to be some contention around the meaning, so I'm probably wrong.

  • Not to mention the ridiculous markup on everything. The last few times I've looked on there the prices for generic chinese garbage was higher than name brand stuff directly from the manufacturers website. These days I'll stop literally anywhere besides amazon.