This seems like the kind of thing LW folks might have good information on (better than my random googling). I tested positive 7 days ago, and have been on Paxlovid for 5 days; symptoms are mostly gone, and we'll see if they bounce back when I finish the course of...
The sidebar that shows all comments by author is incredibly useful (to me)!
I don't know how long ago it was put in, but when I noticed it, it made it waaaaay easier for me to parse through big conversation trees, get a sense for what people are thinking, and zero in on threads I want to read in detail.
Thanks to whoever had that idea and implemented it!
Ajeya "Cotra", not "Corta" :)
Thanks, for the info I'm reading through your posts now! I'm sorry your experience was / still is so terrible. Knock on wood, I'm not having as bad a time so far -- I wonder if the most recent booster helped me, or if it's just luck (different strain, different immune system, etc.)
Especially good to know how easy it was to pass to your spouse -- I'll do my best to take that into account.
(I strongly agree w/ your post on Paxlovid, by the way -- it was a game changer for how bad my symptoms were, I'm very glad I could get it.)
This seems like the kind of thing LW folks might have good information on (better than my random googling).
I tested positive 7 days ago, and have been on Paxlovid for 5 days; symptoms are mostly gone, and we'll see if they bounce back when I finish the course of Pax. I would like to avoid giving my wife Killian COVID, but also it would be nice to be able to help out around the house more than is possible with strict isolation. I'm considering switching to "mask around the house, but not holed up in my office all day every day."
Anyone have a lead on good info about transmissibility during days 7-14, given positive or negative antigen tests on those days?
Thanks!
In case it's useful, I have a threat model writeup here: https://www.danieldewey.net/risk/case.html. (I haven't linked it from many places, and I'm trying to spread it around when I see the chance.)
If I wanted to explain these results, I think I would say something like:
GPT-3 has been trained to predict what the next token would be if the prompt appeared in its dataset (text from the internet). So, if GPT-3 has learned well, it will "talk as if symbols are grounded" when it predicts that the internet-text would "talk as if symbols are grounded" following the given prompt, and not if not.
It's hard to use this explanation to predict what GPT-3 will do on edge cases, but this would lead me to expect that GPT-3 will more often "talk as if symbols are grounded" when the prompt is a common prose format (e.g.... (read more)
Nice work everyone! Very excited to see the results.
Thank you for writing this! I usually have to find a few different angles to look at a paper from before I feel like I understand it, and this kind of thing is super helpful.
Thanks, Richard!
I do think both of those cases fit into the framework fine (unless I'm misunderstanding what you have in mind):
I'm really enjoying Project Hail Mary, the new book from The Martian author Andy Weir, and I think other LW readers might as well.
Avoid spoilers harder than you normally would -- there are a lot of spoilers online that are easy to hit by accident.
Why you might like it:
This is really remarkable! Thanks for posting, I don't know when I would have seen it otherwise.
Partway through, I Googled a couple passages to quickly confirm that it wasn't some "modern blog post in an old-timey style" -- it feels more specific and prescient to me than I remember Erewhon being (though Gwern's comment makes me think I should go back and look again, or check Darwin Among the Machines).
Evans' predictions on Trost's arguments and overall vibe are also impressive, IMO. (E.g. "if it were not for your incurable dilettanteism in science as in all other things--if you had once understood the action of any delicate machine..." ~= "actually training models gives... (read more)