Yeah, this is probably better for a game like Go where evaluating raw point differentials is a common thing that professionals (and even strong amateurs) do.
As a Go player myself, I agree that Go-wise this result isn't impressive. But isn't the point that it's an "attack" on the AI? Like for password leaks, failed hash functions, etc, we don't care that it's 100% broken, just that there are tiny artifacts that can be exploited.
I strongly agree, in addition statements like "Before social media advertising would have to hitch a ride with some content produced for something else. Billboards, newspapers, television shows, and magazines all tried to provide a use value to their customers and audiences" are pretty incorrect. As bad as many people agree Facebook is for mental health, it was clearly created for and does provide value. The author does a fairly poor job of carrying out the argument without form-fitting irrelevant details to their desired narrative.
Wait, I think you’re misunderstanding a bit. The culture of professionalism ALREADY inherently represses non-straight people (and allows straight people privilege to be who they want). For example, men suits women dresses. There is no culture of professionalism that I know of that gives the privilege to all people. Like a dress code would be fine if it wasn’t obviously biased towards certain culture standards (in this case, western/white, straight).
Edit: to put it another way, professionalism in the case of clothing for example would be more fair if there could be a professional qipao, or professional burka, rather than only a professional western option aka the suit.
I don’t understand the logic here. Yes, of course a wealthy person will be able to pay for procedures and avoid going broke. Isn’t this universally true? Perhaps you meant the US is poorly designed for poor people, which is not something you can say about every country.
This is absolutely not cheating; every hand designed algorithm can access and compare everything in the array!
The real point of what they’re saying in your italicized quote is actually that giving the net full access hinders efficiency, so they actually restrict it. Almost like the opposite of cheating.
> “I’ve taught public school teachers, who were incredibly bad at formal mathematical reasoning (I know, because I graded their tests), to the point that I had not realized humans could be that bad at math”
Is it just me or does this come off as incredibly rude? It’s one thing to say people are bad at math but the phrasing of this seems insulting without reason, in my opinion.
While that's vacuously true on account of the fact that being rich is fundamentally good no matter where you are, I'd argue that China is even better to live in if you're rich.
I think the idea is that "calling predict and tuning on a model with the test set" is the "overfitting". It's not actual overfitting like we know in ML; it's as if the researcher is performing "descent" to get the best hyper-parameters. Problem is, if we use the test set to find these hyper-parameters, we'll have no idea how well it does in the real-world/in general. We'd need another set to figure that out - and we're back where we started.
That seems like a valid reason; for me, it seems that the competitive nature of chess and its pre-existing establishment in society as a measure of intellect determines its popularity.
It may be my lack of knowledge about optics, but from an ML perspective this seems rather mundane if not useless. Model training involves high levels of parallelism on a large scale for difficult tasks, something I can’t see these optical chips doing. Does anyone have any further information that might enlighten me to otherwise?