-
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
Bruce Schneier x.com
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
14 September
11 September
-
Their words
most surveys find that the median AI researcher forecasts about a 5% chance of extinction or similar "doom" from AI, while the mean probability is much higher -- around 15-20% -- due to a smallish group who give very high probabilities of doom.
9 September
4 September
11 August
-
Lovedrcmnd.app
The Nature of CodeTheir words
This book is a beautiful introduction to simulations of natural systems. We get concise prose, clear illustrations, and carefully chosen systems with a guided tour through the math. All done in the Processing language, which is fun and easy to pick up. The reason I like this book so much is probably due to timing. In 2013, I was on the verge of abandoning software development. I was fed up. (That's a story for another time.) Instead, I planned to go into cognitive psychology full-time as a researcher. This book brought back the joy in programming for me. Sometimes, a good book is the book that motivated you.
30 July
-
korrents.com
When agents do the building, the scarce skill is taste: choosing which problem is worth the time at all.Their words
Yeah, I mean I think it's really having incredibly good taste in what you ask your agents to work on, right? That is the the crux of you know from my background uh a research problem. You know, a researcher can have all the tools and all the techniques, but often most of the battle is what problem are you gonna spend your time on?
27 July
-
Their words
Like this is actually like a new form of test time compute. Like when we talk about the scaling laws and kind of we talk about the model getting more intelligent over time, historically, it's been a function of the size of the neural net, the amount of training data, and the number of flops that you put in to the training. And then recently, we also added test time compute. So this is essentially a fancy way a researcher way of saying how many tokens does it generate. And now dynamic workflows are essentially a new way to orchestrate test time compute.
26 March
22 January
-
Their words
But the goal we need to achieve is so much easier: we just need to build a model that’s as good as us at alignment research, and that we trust more than ourselves to do this research well because it’s sufficiently aligned.
7 January
-
Recommendsaffiliate linkrcmnd.app
Thinking in Bets: Making Smarter Decisions When You Don't Have All the FactsTheir words
A product manager will be called upon to make scores of decisions every day. In none of these cases will you have all of the information you want, and you’ll rarely be 100% confident. Poker champion turned decision researcher Annie Duke will help you learn how to be comfortable with uncertainty.
5 January
31 December 2025
-
Lovedrcmnd.app
The Normalization of Deviance in AITheir words
One of my favourite pieces on LLM security this year is The Normalization of Deviance in AI by security researcher Johann Rehberger.
10 December 2025
25 November 2025
From one piece Ilya Sutskever – We're moving from the age of scaling to the age of research 2 beliefs, in the piece's order there
-
Their words
I think I think there'll definitely be there'll be diminishing returns because you want you want people who think differently rather than the same. I think that if they were literal copies of me, I'm not sure how much more incremental value you'd get.
-
Their words
And then the top down belief is the thing that sustains you when the experiments contradict you. Because if you just trust the data all the time, well, sometimes you can be doing a correct thing, but there's a bug.
21 September 2025
-
Their words
And so the main thing that I felt so excited about and this is something I tell my team all the time is we need to dissolve the boundaries of these traditional roles.
15 August 2025
-
Their words
because it's not competing against humans for most of those roles, it would be competing against the other labs, right? And so you'd actually see like the cost pushed down to, you know, a mult a small multiple of whatever the marginal production cost of those tokens is.
9 August 2025
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.