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This graph seems to match the rise of the internet. Here's my alternate hypothesis: Most people are irrational, and now it's more reasonable to call them crazy/stupid/fools because they have much greater access to knowledge that they are refusing/unable to learn from. I think people are just about as empathetic as they used to be, but incorrect people are less reasonable in their beliefs.

The trick here is that both equations contain  which is the hardest to calculate, and that number drops out when we divide the equations.

 

You have a couple typos here. The first centered equation should not have a $P(\bar H H | X)$ but instead have $P(\bar H | X)$, and the inline expression should be $P(D | X)$, not $P(D | H)$.

A few things to note:

  1. GPT-4's release was delayed by ~8 months because they wanted to do safety testing before releasing it. If you take this into account your graph looks much less steep.
  2. The employees at OpenAI know about prediction markets.
  3. They also have incentives to manipulate them to look like GPT-5 will come out later than it actually will. They don't want to set off an AI arms race.

I think most people view "All people are equal" as a pronouncement of a moral belief they hold, not as a statement of fact. When they say, "All people are equal", they mean they believe "all people should be treated equally", or "everyone should have to obey the same laws" or "everyone's needs have equal importance".

This moral pronouncement is also consistent with a utilitarian pronouncing "All people are equal to me", as in that all people's lives hold equal weight in his utility function.

I think the old meaning of "bigot" is very close to this. From the 1828 Websters Dictionary:

BIG'OT, noun

1. A person who is obstinately and unreasonably wedded to a particular religious creed, opinion, practice or ritual. The word is sometimes used in an enlarged sense, for a person who is illiberally attached to any opinion, or system of belief; as a bigot to the Mohammedan religion; a bigot to a form of government.

2. A venetian liquid measure containing the fourth part of the amphor, or half the boot.

How much more advantageous would this be than a "head only" option? To get to the brain, wouldn't you have to cut open the head anyways?

I think it really depends on your reading speed. If you can read at 500 wpm, then it's probably faster for you to just read the book than search around for a podcast and then listen to said podcast. I do agree, though, that reading a summary or a blog about the topic is often a good replacement for reading an entire book.

I think robotics was (and still is) mostly bottlenecked on the algorithms side of things. It's not too expensive to build a robot, and the software is good enough that a hobbyist could hack something together easily enough in a day or two. The issue is that it's really hard to make a robot do what you want it to do. Even if you have a robot that can stand up, run around, and do back flips, how do you make it go rescue people from burning buildings? Most of the tasks robots could be useful for are messy, complicated things, and robots don't yet know how to do that.

Modern machine learning is solving this problem, but still not all the way there. I think one promising area of research is using large language models to plan out actions and this will be the way of the future.

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