RSS

Ought

TagLast edit: 22 May 2021 13:35 UTC by Pablo

Ought is a research lab that develops mechanisms for delegating open-ended thinking to advanced machine learning systems.

External links

Ought. Official website.

Es­ti­ma­tion and fore­cast­ing — an overview (Amanda Ngo)

EA Global25 Oct 2020 5:48 UTC
7 points
0 comments14 min readEA link
(www.youtube.com)

Au­tomat­ing rea­son­ing about the fu­ture at Ought

jungofthewon9 Nov 2020 22:30 UTC
19 points
0 comments1 min readEA link
(ought.org)

Ought: why it mat­ters and ways to help

Paul_Christiano26 Jul 2019 1:56 UTC
53 points
5 comments5 min readEA link

[Link] “Progress Up­date Oc­to­ber 2019” (Ought)

Milan_Griffes29 Oct 2019 21:34 UTC
25 points
1 comment2 min readEA link

[Link] “Ma­chine Learn­ing Pro­jects for IDA” (Ought)

Milan_Griffes12 Oct 2019 17:35 UTC
10 points
0 comments1 min readEA link

[Link] “Eval­u­at­ing Ar­gu­ments One Step at a Time” (Ought)

Milan_Griffes11 Jan 2020 19:12 UTC
7 points
0 comments1 min readEA link

Del­e­gate a forecast

amandango26 Jul 2020 5:05 UTC
41 points
43 comments2 min readEA link

Fore­cast­ing Thread: Ex­is­ten­tial Risk

amandango22 Sep 2020 20:51 UTC
24 points
4 comments2 min readEA link
(www.lesswrong.com)

Bi­nary pre­dic­tion database and tournament

amandango17 Nov 2020 18:09 UTC
15 points
0 comments1 min readEA link

An­dreas Stuh­lmüller: Train­ing ML sys­tems to an­swer open-ended questions

EA Global5 Feb 2020 22:51 UTC
7 points
1 comment12 min readEA link
(www.youtube.com)
No comments.