254 karma · joined January 24, 2021
Examples? Every time I see kubernetes pop up it's because of better performance or lesser costs.
This is true of most strict rules elsewhere: they're there but seldom enforced. Take speed limits, they're strict, but good luck enforcing them. All we do is we monitor from time to time and give tickets. Yet we could enforce this to the manufacturers, right? Why can a car go beyond the speed limit if it's strictly prohibited?
We cannot compare working conditions as is, but they're easy to compare when you take time into account: how where our labor laws a couple of generations ago? Not that different than poor countries today.
The OP made a good point that applies to all poor countries I've lived in: those jobs are the only (even the best) way out for most people to get out of poverty, which they do to help their families/children/themselves.
Maybe you were raised in a family that did not need to go through such hard labor, but that doesn't mean your right in your view of your own world ;)
P.S. I was also born and raised in a poor country.
I get that starting from a point with "some correctness" makes sense if you want to use such information (e.g. a standard starting point). However, such information is a preconceived solution to the problem, which might not be that useful after all. The fact is that you indeed might not at all need such information to find an optimal solution to a given problem.
> by setting a goal and a context we have already applied constraints.
I might be missing your point here since the goal and constraints must come from the real world problem to solve which is independent from the method to solve the problem. Unless you're describing p-value hacking your wait out, which is a broader problem.
Wasn't this the same kind of argument we used in the past to justify slavery?
Different wording, but same message though. It sounds like the two options are fundamentally the same, regardless of the wording.
Which can be trapped/filtered to avoid pollution.
> if plastics ever become sufficiently valuable - or recycling sufficiently viable.
If that was remotely probable, you'd have banks offering plastic-storage related ETFs already.
That explains why my coffee ends up cold and abandoned most of the time!
Turns out our results were better than the papers we compared to, both in time and precision.
I am not that familiar with ml, but can't you just ignore those faulty weights?
In your dreams only. Good luck finding any serious (aka "smart") money willing to take your valuation seriously. With such due diligence you're likely to be the only one hodling $FOO ;)
The fact that so many companies are moving to the subscription model shows that it works better than others.
This makes me think computer infra could potentially become a commodity.
I couldn't be happier : he caught way too many little details I didn't have time for, and explained the important details I didn't have interest in.
I submitted the new version around a month after that and it went smoothly.
Guess who saved a lot of work :)
I've found that it also helps to be as explicit as you can when communicating your politeness btw.
Isn't this exactly the problem that can be better solved using real power data instead of values expected from theory ?
We wish! Most of the students I've known outside of stem will make sure they prove you wrong ;)