All of Dmitriy's Comments + Replies

Dmitriy10

yes, I've been subscribed since December and no emails, checked spam too :)

I fiddled with it some more and it looks like the "You need to verify your email address to enable email notifications." field might not be updating. I've verified a couple times, reaching the "Your email has been verified" screen, but the instruction to send a verification link persists on refresh. Maybe that's the issue?

I double checked my notification settings and everything seems in order. I have "Posts/events in groups I'm subscribed to" set to notify me on-site and by email

Dmitriy10

"If you'd like to get notified of future events, you can subscribe to our meetup below to get an email whenever we add another one."

fwiw I'm subscribed and I haven't received any emails. I tried verifying my email and fiddling with notification settings and haven't been able to fix it

2Ben Pace
That'd be a bug! Just to confirm, you were subscribed before I put this post up on Saturday morning, and don't have an email? Also reminder to check spam if you haven't.
Dmitriy129

"We'll probably display this until the New Year"

I'd guess plenty are planning to donate after Jan 1st for tax reasons, so perhaps best to keep highlighting the donation drive through the first week of Jan.

Also I donated $1,000. Lightcone's works have brought me a lot of direction and personal value over the years, so I'm happy I'm able to lend some support now

9habryka
Thank you!  Yeah, I've been noticing that when talking to donors. It's a tricky problem because I would like the fundraiser to serve as a forcing function to get people who think LW should obviously be funded, but would like to avoid paying an unfair multiple of their fair share, to go and fund it.  But it seems like half of the donors will really want to donate before the end of this year, and the other half will want to donate after the start of next year.  It's tricky. My current guess is I might try to add some kind of "pledged funds" section to the thermometer, but it's not ideal. I'll think about it in the coming days and weeks.
Dmitriy1910

At least in California, pay-for-use toilets are uncommon in part because they're illegal

Dmitriy5-1

I'd add the best in class drug testing resource: sending a sample to https://drugsdata.org/

GC/MS equipment can distinguish hundreds of substances and report all present, even trace contaminants. Far superior to at-home reagent kits or test strips.

More generally, I find it troubling that you relegated drug testing resources to an appendix, and there only linked to weak at-home kits and a lab providing infrared spectroscopy (much less sensitive than GC/MS). Relatedly, your description of street ketamine as "usually pretty pure" comes off as flippant. It makes me feel you don't have the reader's safety in mind, which in turn makes me trust your recommendations much less.

4sapphire
A rather large fraction of the total words in this document are dedicated to safety warnings. I do not see how its possible to deny I seem quite focus on some sense of safety. I focused on the safety issues I think are genuinely the most pressing (addiction risks, trauma). I genuinely do not think that drug purity issues are the main risk of taking this advice. Certainly not for ketamine sourced in San Fransisco.  Also the service I linked in SF also sends samples to a lab for quite thorough testing and you get results in about four weeks.  You should believe I genuinely disagree with you on what the risks are for the substances mentioned.

I read his thesis as

  1. FB use reduces the effectiveness of AI safety researchers and
  2. the techniques in the CFAR handbook can help people resist attention hijacking schemes like FB, therefore
  3. a FB group for EAs is a high leverage place to spread the CFAR handbook

I got an Email that said it will be Dec 17th

Has a date been set for the 2022 event? Wondering if I'll be in the bay day-of or traveling for Christmas

1Dmitriy
I got an Email that said it will be Dec 17th

I tried to sketch a toy problem with tune-able “factorizability”

Draw n samples each from two equivariant normal distributions with different means a and b. The task is to estimate the median of the 2n combined samples.

If a << b it factorizes completely - the network just needs to estimate max(A) and min(B) and in the last step output their midpoint. As we move a and b closer together more and more comparisons across A and B are important for accuracy, so the problem is partially factorizable. When a = b the problem doesn’t (naively) factorize at all.... (read more)

Some forms of biased recall are Bayesian. This is because "recall" is actually a process of reconstruction from noisy data, so naturally priors play a role.

Here's a fun experiment showing how people's priors on fruit size (pineapples > apples > raspberries ...) influenced their recollection of synthetic images where the sizes were manipulated: A Bayesian Account of Reconstructive Memory

I think this framework captures about half of the examples of biased recall mentioned in the Wikipedia article.