/Tech11h ago

Daniel Kokotajlo's 2023 prediction that Fable would be intentionally limited has been validated ahead of his Q1 2026 timeline

The intentional restriction closely matched the forecast's specific parameters.

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Jeffrey Ladish@JeffLadish#1199inTech

I am uncomfortable with the number of @DKokotajlo's predictions coming true

Adam Karvonen@a_karvonen

Another quite successful prediction by @DKokotajlo : Fable is intentionally nerfed for frontier ML research. This is within ~3 months of Daniel's prediction of Q1 2026 (made in 2023).

Although I don't think Mythos is automating ML research to the same extent as his prediction.

11:29 AM · Jun 10, 2026 · 2K Views
Sentiment

Some users respect DKokotajlo's track record after Fable's intentional nerf validated his predictions, while others accuse Anthropic of treating those forecasts as self-fulfilling prophecies.

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Daniel Kokotajlo@DKokotajlo

@a_karvonen Thanks! Note that this particular comment wasn't technically a prediction by me, so I shouldn't get that much credit. Iirc it was a hypothetical scenario I took seriously but wasn't my median timeline. At least that's what my fuzzy memory says.

1dViews 9.8KLikes 178Bookmarks 12
REPLIES1
Atenov int.@Atenov_D

@a_karvonen @wrongplace_eth @DKokotajlo DKokotajlo has a good track record with predictions and Fable nerfing is a big signal. His Q1 2026 call is looking more real by the day

23hViews 1.2KLikes 4
Yong Zheng-Xin@yong_zhengxin

@theojaffee @a_karvonen @DKokotajlo https://www.lesswrong.com/posts/K2D45BNxnZjdpSX2j/ai-timelines

1dViews 84Likes 8Bookmarks 2

@a_karvonen @DKokotajlo I have an alternate theory: Mythos is nerfed for frontier ML research because it helped too much Anthropic in the past months (even in its own training?). Helping others on this could reveal Anthropic own trade secrets

9hViews 316Bookmarks 2
Eric23332@eric23332

@a_karvonen @DKokotajlo Yes, "basically doing all the work itself" is incorrect, Anthropic just said explicitly it doesn't come close to replacing its researchers.

1dViews 1.5KLikes 9
Theo Jaffee@theojaffee

@a_karvonen @DKokotajlo source for the Kokotajlo comment?

1dViews 1.2KLikes 7
Jacques@JacquesThibs

@a_karvonen @DKokotajlo The truth is that Anthropic uses Daniel’s predictions as self-fulfilling prophecies. They were all preloaded in the Gantt charts years ago.

18hViews 653Likes 3Bookmarks 1
S@S0xuj

@a_karvonen @DKokotajlo I might be the only one to really have an issue here but have noticed an insane amount of slow and Steady death of Claude ability to help with my computer vision training / methods etc for about 6 months

19hViews 2.3KLikes 9
Yong Zheng-Xin@yong_zhengxin

@a_karvonen @DKokotajlo It'd be crazy if Q3 is when all the frontier labs declare that we officially enter the era of ASI

1dViews 2.2KLikes 7
anpaure@anpaure

@a_karvonen @DKokotajlo all according to keikaku

19hViews 629Likes 5
No@Nox7hhsjj

@a_karvonen @DKokotajlo Somebody should put this idea in a book!

Oh wait.

@allTheYud @So8res

23hViews 3.4KLikes 3
Pavel Ozolin@pjozolin

@a_karvonen @DKokotajlo Yes, Anthropic really do not like China companies distilling their models

19hViews 1KLikes 4
The Tower@TheWhiteTower16

@a_karvonen @DKokotajlo ml tasks have not really improved since opus 4.6 iirc so they have probably been stealth nerfing since then, which was q1

1dViews 2KLikes 3
Max@max_morehead

@a_karvonen @DKokotajlo There is some distorting effect in that many of the core decision makers in Anthropic have read Daniel's writing.

15hViews 921
akos@akos_writes

@a_karvonen @DKokotajlo what? the prediction doesn't seem to imply _intentional_ nerfing

12hViews 331
Zander Widjaja@ZanderWidjaja

@a_karvonen @DKokotajlo i guesss…. we just gotta do homework 😔

16hViews 145
Jonas@JPcph12

@a_karvonen @DKokotajlo So I am building my own interference engine running Deepseek 4 flash 284b on Nvidia 3090 with custom cuda kernel and nvme streaming at 3.5 tokens / sec. This is ML research in interference, will I be blocked?

5hViews 108
bllleeep@TestPleaseIgno1

@Atenov_D @a_karvonen @wrongplace_eth @DKokotajlo You’re gonna freak out when you find out what year it is

17hViews 8Likes 1
ilovepeton@Poorduckk

@eric23332 @a_karvonen @DKokotajlo of course they’d say so

19hViews 14
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