-
korrents.com
The typical AI researcher thinks there is roughly a 10% chance that AI will kill everyone.Their words
A few AI researchers pull up the average by being very certain that AI will kill everyone. But the typical AI researcher still thinks there's a ~10% chance that AI will kill everyone.
Related posts
Alon Levy Blog
The the words it uses that this site has seen least often elsewhere. Posts are matched on those words alone — nothing here is a summary of this one.
Top people
Showing Profile →
Hiding
Hiding
15 September
13 September
12 September
11 September
-
korrents.com
Among AI people, roughly 10% is the typical estimate given for the risk of human extinction from AI.Their words
10% is pretty much the standard number you get when you ask AI people about the risk of human extinction from AI.
4 September
22 August
17 August
-
Their words
And I'm not claiming this as a published study, but so I think there's a there's a direct autonomic training component as well in terms of the strength and the automaticity, the ease with which you can regulate emotions that they can become kind of automatically regulated.
11 August
10 August
28 July
-
korrents.com
Refusing to commit is the right strategy inside a portfolio and the wrong one everywhere else in life.Their words
In investing, non-commitment leads to better than average outcomes for the typical investor.
7 July
-
Their words
it's more important to invest in trains that can get more riders than just the railfans; taking a line from 0% to 5% modal split is less important than taking it from 20% to 40%
Prioritizing Rail Expansion in New Englandpedestrianobservations.com
30 June
-
Their words
STOPS is designed for quick-and-dirty calculations and is known to choke on New York.
4 June
2 June
3 March
13 February
-
Their words
the goal is not to teach the model every possible skill within RL just as we don't do that within pre-training, right? Within pre-training, we're not trying to expose the model to, you know, every every possible you know, way that words could be put together, right? You know, we're it's it's rather that the model trains on a lot of things and then and then it reaches generalization across pre-training, right?
12 February
11 December 2025
-
Their words
The US has a lot to learn from other countries for how to catch up to the efficient frontier, especially for certain types of construction (ie: transit) and in certain places in the country (ie: expensive coastal metros).
5 October 2025
-
Their words
I mean in my experience the typical win rate and I hate to use that term for experiments is is often something like 30 to 50%. Like usually you're not actually get like you're trying a bunch of things a lot of hypotheses turn out not to be true. you know, consumer products are very unpredictable like that.
30 September 2025
-
Their words
Yeah. I still think math is essential. It's something that shapes your brain, it teaches you to rely on your logical thinking to split big problems into smaller parts, put them in the right sequence, solve them patiently, trying again if it doesn't work.
15 August 2025
-
Their words
I would never like hold up a flag saying I'm really good at building highspeed trains. Like that is just a sign that you're really bad at capital allocation.
28 May 2025
-
Their words
Cities began to prefer subways to elevateds, despite the fact that they were two to four times as expensive to build as elevated trains.
9 December 2024
From one piece Debanking (and Debunking?) 2 beliefs, in the piece's order there
-
Their words
We’re hearing about debanking because it sometimes affects socially established wealthy entrepreneurs and their companies.
-
korrents.com
A US deposit account is a credit product, and cannot be made otherwise without breaking it.Their words
For one thing, typical deposit accounts in the U.S. are actually credit products. It's baked in and can't be baked out without making them unfit for purpose.
22 April 2024
From one piece Sean Carroll: General Relativity, Quantum Mechanics, Black Holes & Aliens | Lex Fridman Podcast #428 2 beliefs, in the piece's order there
-
Their words
I think that specifically the question why is there something rather than nothing? does not have the kind of answer that we would ordinarily attribute to why questions because typical why questions are embedded in the universe. And when we answer them, we take advantage of the features of the universe that we know and love. But the universe itself, as far as we know, is not embedded in anything bigger or stronger, and therefore it can just be.
-
Their words
But then you draw some conclusions from this, and what you end up realizing is you’ve been hilariously presumptuous because by saying, “I’m a typical observer in the universe,” you’re saying, “Typical observers in the universe are like me,” and that is completely unjustified by anything.
24 September 2023
11 May 2022
From one piece Is There a Housing Shortage or Not? 2 beliefs, in the piece's order there
-
Their words
There is essentially zero correlation - the metros with the largest rent increases had added population / added housing ratios no different than metros with smaller rent increases.
-
Their words
In general, housing trends are largely driven by a small number of outlier metros.
8 January 2021
-
Lovedrcmnd.app
The Psychology of MoneyTheir words
It is everything you would expect from Housel: Interesting, informative, filled with investing lessons, but without the typical scolding.
15 January 2019
13 April 2018
Nothing matches.
What is a korrent?
A korrent is a belief a person has stated in their own words: one sentence stating the claim, backed by a quote and a source, kept at korrents.com.
Under a name here, the quoted block is what they actually said. The korrent beneath it is the claim those words support, in korrents' wording — tap it to see the record, its source, and who else holds it.
Nobody here wrote their own korrents. They are compiled from public statements, and a person can change their mind, which is recorded too.
About the English under a post
Some people here publish in a language other than English. Where they do, this site shows a machine translation beneath the post, in this typeface — the site's own, not theirs.
The post itself is never changed, moved or hidden: what is set in the serif above is exactly what the person published, and it is what to quote them on. A translation can be wrong in ways that matter, especially about tone.
Only the post's own words are translated. A quoted post, a linked article and a belief on korrents.com are left in their original language.