noslenwerdna

Obviously I mean the definition of evil implied by your statement that they are indefensibly evil...

Again, what level of copyright violation is evil? Downloading music without paying for it? Apparently using images/text that artists have made public is evil, so I'm curious what the bar is here for evil.

Using electricity to improve white collar efficiency is also evil. Good to know

This is a very close minded definition of evil. What is the threshold of environmental impact before something is evil and its use indefensible?

What level of copyright violation will send us to hell?

There's definitely going to be cheap or open source models

For those of us who care about the answers to these questions, rather than who gets credit for doing it, we will welcome any faster means of solving these problems.

Asymptotic Safety also predicted the higgs mass (126 GeV vs the measured value of 125 GeV). https://arxiv.org/abs/0912.0208

The trick is, at that time most of the possible mass range was excluded experimentally, so it is a bit less impressive. I'm not sure how much tuning went into it (possibly none)

I unironically agree, p-hacking should be a criminal offense.

Interestingly, there is some neuroscience research that transformer architecture resembles "cue based retrieval" in the human brain in some important ways.

https://www.sciencedirect.com/science/article/pii/S0749596X2...

As we all know, global warming wasn't happening until AI data centers started being built. They are honestly a drop in the bucket

I find this kind of reduction silly.

All your brain is doing is bouncing atoms off each other, with some occasionally sticking together, how can it be really thinking?

See how silly it sounds?

just replace "money" with "prestige" and I think the above comment works just fine

My point is if the people in the study were not randomly selected, there are any number of confounding factors that could influence why their anxiety changed.

I don't know that, which is why I said "maybe."

Facebook does not typically do academic level research - they do quick studies to verify product direction.

From what I have seen, the actual academic studies on this are mixed. It is hard to say one way or the other, and it can affect different teens differently depending on how they use it.

"But internal study found users who stopped using Facebook and Instagram for a week showed lower rates of anxiety, depression, and loneliness."

This isn't causal though. The users who quit were not randomly selected. Maybe they were receiving some kind of mental health treatment, and as part of that they stopped. Then the recovery could have been from the treatment or it could have been from stopping.

Are you saying I was incorrect for feeling that way?

The reason is that you no longer really know what's going on. (And yes, that feeling would be the same if C++ had as rich a library of packages as python for numerical analysis.)

If you are doing something that requires precision you need to know everything that is happening in that library. Also IIRC, I think not knowing what type something is bothered me at the time.

I felt the same way about python when I was switching from C++ to python for data analysis

Your desktop was hacked or your email was hacked?

These points make it easy to remember for me, adding ~5C for 10 F.

40 F = 4 C (forty is four)

50 F = 10 C

60 F = 16 C (sixty is sixteen)

What other states have had non-competes similar to California? North Dakota and Oklahoma.

It's possible that other factors might be more important in driving California's economic success...

For the second one I was hoping there was something like employment satisfaction, but thank you!

This response is a bit less than helpful. Could you provide an example of a metric from this diverse set that fits what the OP is asking for? I feel like there are at least two use cases from their post:

* a metric that measures if people's jobs are paying enough to put food on the table

* a metric that measures whether people's employment matches their education?

I feel like everyone is going to think they are useful. Not sure how meaningful this is.

My point is every invention has pros and cons, and tends to displace people who were very tied to the previous way.

Sure, it's just that the era of super high paying programming jobs may be over.

And also, manufacturing jobs have greatly changed. And the effect is not even, I imagine. Some types of manufacturing jobs are just gone.

Everyone should do the tasks where they provide unique value. You could make the same arguments you just made for recorded music, automobiles, computers in general in fact.

I didn't know the FTC got involved in Afghanistan

Journalists are (or were) on Twitter though

As an ex-HEP, I can confirm that yes, we had blinding and did correct for multiple hypothesis testing explicitly. As Kyle Cranmer points out, we called it the "look elsewhere effect." Blinding is enforced by the physics group. You are not allowed to look at a signal region until you have basically finished your analysis.

For pre-registration, this might be debatable, but what I meant was that we have teams of people looking for specific signals (SUSY, etc). Each of those teams would have generated monte carlo simulations of their signals and compared those with backgrounds. Generally speaking, analysis teams were looking for something specific in the data.

However, there are sometimes more general "bump hunts", which you could argue didn't have preregistration. But on the other hand, they are generally looking for bumps with a specific signature (say, two leptons).

So yes, people in HEP generally are knowledgeable about stats... and yes, this field is extremely strict compared to psychology for example.

He is implying that the scientists involved haven't thought of those questions, when in reality this field is one of the strictest in terms of statistical procedures like pre registeration, blinding, multiple hypothesis testing etc

Also he makes many factual claims that are just incorrect.

Just seems like an extremely arrogant guy who hasn't done his homework

I never said anything about practicality, you are confusing my replies with someone else's. I said this

"But why do those fields deserve more money, when at least a large part of the problem is cultural."

More money won't fix the cultural problems with the field. Maybe the lack of a universal quantitative framework makes issues that are slightly bad in some fields much worse in the social sciences. I don't know. But it's naive to just say other fields have the same cultural problems so we can ignore it for MY field.

There's a famous anecdote where Dyson came to Fermi with a theory for weak decay (I think). There were a handful of datapoints that matched experimental results.

However, Fermi threw out Dyson's theory, despite the empirical agreement, because it had 5 free parameters ("with 3 parameters I can fit an elephant, and with 4, I can make it waggle its trunk is the quote" IIRC). This is difficult, but essential criticism all fields need.

AND all this is apart from the fundamental question of whether important generic scientific truths can really be gleaned from the social sciences.

That is fair. Is what you suggest possible though?