ppll

Related posts

Glenn Fleishman Bluesky

"We're still looking for the people who caused it."

caused

The the word 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.

Sources

Top people

18 September

Ramez Naamx.com

  • Related

12 September

Dave RupertBluesky

  • Related

10 September

Nathan LambertKorrents

Kit YatesPapers

6 September

Simon Willisonx.com

  • coding agentsOpenAIRelated

4 September

Robin HansonNewsletter

  • Disclosure Seems Unlikely

    Related

1 September

Tyler CowenKorrents

Ajeya CotraKorrents

31 August

Eugen RochkoMastodon

  • Related

28 August

Marco ArmentMastodon

  • Related

Ben CarlsonKorrents

22 August

Charles Duhiggx.com

  • Related

17 August

Ralph AdolphsKorrents

11 August

Ryan GreenblattKorrents

  • Their words

    when AIs are extremely extremely capable my view is that those AIs will be harder to align than current systems. So for current systems, we have this feedback loop where we basically like we create an AI. We do some evaluations on it. We see that it has some kind of messed up behavior that we can kind of quickly understand. Then we like can like go look in training and be like, "Oh, the these training environments led to this problematic behavior. Let's like tweak that training data. Let's introduce some additional training data to like correct this other issue and then move forward from there." But in a regime where the AIs are extremely situationally aware, very very very very capable and um you know uh we don't necessarily understand what they're doing, this feedback loop breaks down.

    youtube.com

10 August

Scott HelmeBlog

3 August

Andrew DesslerKorrents

From one piece Fixing one of climate’s worst plots 2 beliefs, in the piece's order there

Terence EdenRecommends

  • Recommendsaffiliate linkrcmnd.app

    The Field Guide to Understanding 'Human Error'

    Their words

    This is such a useful book. It makes the case that there's no such thing as "human error" - instead most catastrophes are caused by system issues, misaligned incentives, and unrealistic processes. You are not the custodian of an otherwise safe system that you need to protect from erratic human beings.

    shkspr.mobi

1 August

29 July

Hillel WayneKorrents

28 July

Lex Fridmanx.com

  • AmericaRelated

27 July

Andrew DesslerKorrents

16 July

Keir Starmerx.com

  • RussiaRelated

27 June

Adam GrantKorrents

20 June

Donald Trumpx.com

  • Related

14 June

5 June

Scott HelmeBlog
  • DBSC Beta at Report URI

    Related

4 June

Alex ImasKorrents

28 May

Kyle ChaykaKorrents

26 May

Lyman StoneKorrents

13 May

Ketan JoshiKorrents

13 March

Dylan PatelKorrents

3 March

25 January

Jason CohenKorrents

15 January

Nikita ProkopovKorrents
  • Their words

    Компьютеры стали бытовым прибором, начать программировать легче, чем когда-либо, сложнейшие вещи делаются просто и даже тривиально, написаны горы готового кода. К сожалению, у этого есть и обратная сторона - программы становятся большими, медленными, неуправляемыми, непонимаемыми.

    tonsky.me

31 December 2025

Simon WillisonKorrents

13 October 2025

Anton HowesKorrents

31 July 2025

Jack WeatherfordKorrents

7 April 2025

Samuel HammondKorrents

26 March 2025

Timothy B. LeeKorrents

12 February 2025

Anton HowesChanged their mind
Anton HowesKorrents

20 January 2025

Donald TrumpKorrents

8 January 2025

Lyn AldenKorrents

22 November 2024

Dan LuuBluesky

  • Related

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.