I’d love to hear your thoughts on how this has aged over the last 8 years! What other things have you learned? Do you still think in these terms around e.g. rituals? Have you stuck to the same evening routine?
After seeing your work over the past 8 months this comment stands out to me. Institutions are made of people and decision makers, so that might be the best lever to pull for building better institutions. What if mental health and security is all you need?
a L1 penalty that penalizes large latent activations, JumpReLU (middle) and TopK (bottom) SAEs ...
This should say :
JumpReLU (top)
Curious if you ever found what you were looking for.
As stated by others, there are counter examples. An important class of counter examples I can think of is when you want to pick up on mental attitudes or traits that likely only the best have–think "You are the average of your 5 closest friends."
The link for the AI crafting a super weapon seems to be broken. Here is a later article that is the best I could find: https://www.digitalspy.com/videogames/a796635/elite-dangerous-ai-super-weapons-bug/
Although this isn’t a direct answer, I think there’s something that changed recently with chat gpt such that it is now much better at filtering out illegal advice. It appears to be more complex than simply running a filter over what words were in the prompt or what words are in chat gpt’s output. By recent, I mean in the last 24 hours, and many tricks to “jailbreak” chat gpt no longer work.
It gives the impression that they modified the design of it to train on not providing illegal information.
I was thinking something similar, but I missed the point about the prior. To get intuition, I considered placing like 99% probability on one day in 2030. Then generic uncertainty spreads out this distribution both ways, leaving the median exactly what it was before. Each bit of probability mass is equally likely to move left or right when you apply generic uncertainty. Although this seems like it should be slightly wrong since the tiny bit of probability that it is achieved right now can't go back in time, so will always shift right.
In other words, I think this will be right for this particular case, but an incorrect argument for when significant probability mass is on it happening very soon, or for when there is a very large amount of correcting done.
Does this hide the text? (Sorry just testing things out rn)
Wow
Ok so you can hide stuff by typing >! on a new line
It can scarcely be denied that the supreme goal of all theory is to make the irreducible basic elements as simple and as few as possible without having to surrender the adequate representation of a single datum of experience. - Albert Einstein (Nature 2018).
In this post, I'll walk you through how you could have created an algorithm for assigning prior probabilities to all hypotheses called the Universal Prior. It's really a universal prior, since there are many. The formalization that uses this prior to learn about the world is called Solomonoff induction, which Alex and Luke wrote a great post giving an intuitive introduction here. Marcus Hutter took Solomonoff induction a few... (read 6055 more words →)
I would think diseases adapt via an evolutionary like process. If people who display visible symptoms spend less time interacting with others (stay home from school, don’t go to parties, take sick leave), then there’s selective pressure to have less symptoms. Either those symptoms aid in transmission, or there isn’t any standing variation in coughing / sneezing severity which seems unlikely.