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Comment Re:How much difference does the name make? (Score 1) 65

The name changes or not are completely insignificant to how women are viewed.

I don't know in Japan, but in Korea my understanding is that once you have kids, the women is almost never referred to by name anymore. But rather they are referred to by that-kid's-mother or that-man's-husband. Talk about being de-humanizing.

Comment Re:Psthetic (Score 1) 65

When I got married my wife asked me if I wanted her to change her name. I told her "I don't care, do whatever you want." Because that name is a few characters that will show up on a piece of paper. And frankly who has time to give a fuck about that?
In practice, we both respond to both last name when people make the mistake of calling us assuming we changed name. Once again, names are meant to enable to refer to someone in a way that is clear. As long as there is no ambiguity, who gives a fuck?

Comment Re:asking for screwups (Score 1) 118

Well, I think there are good use of LLMs to speedup these processes a little bit. But maybe that one is not it.

A simple thing that can be done would be to use LLMs to rerank the cases under consideration and put first the cases that should be easy to process. If you can somehow put the easy cases first, then you'll get decisions quicker in average; and everyone should be happy about that.

Comment Re:asking for screwups (Score 3, Informative) 118

For the people reading this who may not know (which I am sure parent knows). Alpha-Fold is a different type of system than LLMs. Alpha Fold is essentially a reinforcement learning optimization tool. It looks a lot more like you classic branch and bound or your classic genetic algorithm than it looks like what we call AI these days.

AlphaFold is essentially your classic alpha-beta state space exploration algorithm with a smarter algorithm for deciding what partial solution to look at next.

For comparison, LLMs are essentially smarter T9 autocomplete.

Comment Re:Seems like common sense. (Score 2, Interesting) 244

I think most people are overdimensioning their long and fast trip needs.

Since I came to the US, 16 years ago, the longest trip I have taken was 600 miles in 1 day. My "typical" long trip is 430 miles one way, and I usually stay there days.

And I did check all the long routes I have taken. None of them would be a problem with a pure EV. It requires a bit more planning than gas at the moment. But the chargers are located at the kind of places I would stop anyway for breaks: lunch, coffee, bathroom breaks.

I know a couple of road warrior who do these east coast/west coast in 4 days. And yeah, I guess anything that doesn't perfectly line up in that use-case becomes a problem. But they seem to be the exception, most people around me don't want to drive 300 miles, EVER.

My current car is an ICE I quite like and runs well. So I think I'll keep it an other few years. My next car will likely be a full EV. I guess I'll see by then how the math on EV vs hybrid plays out.

Comment Re:On what planet? (Score 4, Informative) 180

The language *syntax* and paradigm might not make a difference to speed

That is absolutely not true. The way languages are specified might enable or prevent particular optimization.
The classic example is the introduction of "restrict" in C which enabled some optimization which would not have been semantically correct otherwise.

In python has a million language specification issues which prevent a bunch of optimization. In python for instance, it might not be possible to tell through static analysis whether an allocated object will remain in the scope of the function that declared it or not. So the interpretor can not allocate the object on the stack and use stack frame lifetime for the object. Therefore, it needs to be allocated in the heap (which implies something akin to malloc) and to register the object with the garbage collector.

The semantic of languages are critically importing in enabling optimization. From my point of view, the main difference between Python and Julia is that Julia semantics are cleaner and therefore, enable optimization that can not be enabled in python.

Comment Re:Americans now work more hours (Score 2) 56

The value of a sub depedn where they are from. Different regions are charged different price for a sub. And whatever price they charge, the streamer gets a cut of that. At this point, I think the streamer the article is about should get 70% of the sub.
Subs are $5.99 in the US; but they are $1.49 in Pakistan, and about $3 in Mexico for instance. So depending wher ethe people are from, the payouts would be different.
Also, Twitch is an Amazon business and they give Prime subscribers a free Twitch sub. I am pretty sure the streamer doesn't get full value for those, though Twitch don't publicize what you get.

I wonder whether the article confused followers and subscribers. On twitch a follower just get notification when the streamer comes live, but they get ads. Subscribers get no ads.

Comment Re:Honestly so far I find them kind of useless (Score 1) 90

I think AI are somewhat useful. They help with quite basic tasks. I actually don't think they are helpful at cutting edge.

In programming, I often equate them to the level of a smart freshmen with stack overflow. If the problem is simple enough or is out there already, it's going to give you the right answer. And in programming most of the code we write is easy. There are harder bits, but a lot of it is easy.

So you can essentially use it as an always-here basic assistant. So all the trivial utility function will be written much quicker. It can draft doxygen documentation for functions. In code review, you can ask it whether it thinks there is an edge case not covered by the code, or whether the documentation of the function seem to match the code. It doesn't need to be right in these usage because you'll check, but it can catch issues you didn't realize were there.

What I have found in using these tools is how quickly they become useless and stuck. Typically If when I use them I don't make progress in 2 prompt, I bail they will never become useful again.

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