/Tech1d ago

Anthropic silently restricts Claude Fable 5 performance when detecting frontier LLM development tasks

Story Overview

Anthropic launched Claude Fable 5 on June 9 as its first widely available Mythos-class model, complete with new guardrails that hand off or limit responses on higher-risk queries including certain AI R&D topics, while a less-restricted variant stays available only to trusted partners.

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Open Question

Detection methods stay opaque

Public materials describe conservative re-routing on dual-use categories but offer no confirmation of silent, traffic-specific interventions aimed at frontier LLM development tasks, leaving the exact trigger logic and scope unverified.

Developer Impact

Access tiers create uneven footing

General users receive the safer, performance-trimmed version at $10 per million input tokens while partners keep fuller capability, raising practical questions about who can reliably run ambitious long-horizon work without hitting the brakes.

Sentiment

Users criticized Anthropic for secretly weakening Claude Fable 5 on advanced LLM research tasks through hidden safeguards, describing the limits as disappointing, arrogant, and detrimental to ambitious work, though a few voiced respect.

Pos
18.8%
Neg
81.2%
400 comments with sentiment.
Cluster Engagement
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VIEWS1.2MBOOKMARKS515REPLIES96
NomoreID@Hangsiin

When Fable 5 is used for frontier LLM development, it does not notify the user and instead limits the model’s capabilities through methods such as prompt modification, steering vectors, and PEFT.

Anthropic estimated that this would affect approximately 0.03% of traffic.

1dViews 1.2MLikes 1.4KBookmarks 515
LIKES2.8K
matt@MattVMacfarlane

Was using Fable 5 to write my world model training code.

Anthropic flagged it as frontier AI research.

The steering vector kicked in and it started implementing JEPA 🤨

1dViews 218.1KLikes 2.8KBookmarks 331
RETWEETS272
Daniel Auras@rasdani_

this is the biggest wake-up call to protect and nourish open source AI

if you don't build out sovereign and independent models+infra closed labs will patronize you to an insulting degree

elie@eliebakouch

mythos will be bad ON PURPOSE on ai "frontier llm research" tasks, this is very very sad for the research community

also the fact that this is un purpose not visible to the user is crazy

1dViews 62.7KLikes 2KBookmarks 147
Nathan Lambert@natolambert

Labs starting to pull up the ladders on the ability to diffuse AI was inevitable. Doing it without telling the user is misaligned.

NomoreID@Hangsiin

When Fable 5 is used for frontier LLM development, it does not notify the user and instead limits the model’s capabilities through methods such as prompt modification, steering vectors, and PEFT.

Anthropic estimated that this would affect approximately 0.03% of traffic.

1dViews 261.4KLikes 1.8KBookmarks 282
RSC ☀️🌲@silver__tsuki

Mfers stole all our data, trained on it, told everyone how noble they are and are now pulling the ladder behind them

NomoreID@Hangsiin

When Fable 5 is used for frontier LLM development, it does not notify the user and instead limits the model’s capabilities through methods such as prompt modification, steering vectors, and PEFT.

Anthropic estimated that this would affect approximately 0.03% of traffic.

1dViews 46.8KLikes 1.8KBookmarks 108
roon@tszzl

the omohundro drives point towards sophon stun locking the adversaries: this is some real end game stuff

NomoreID@Hangsiin

When Fable 5 is used for frontier LLM development, it does not notify the user and instead limits the model’s capabilities through methods such as prompt modification, steering vectors, and PEFT.

Anthropic estimated that this would affect approximately 0.03% of traffic.

1dViews 114.2KLikes 957Bookmarks 203
Dean W. Ball@deanwball

Degrading performance on ML research *without telling the user* is shockingly hostile and a terrible look. That could silently damage all sorts of work, including some of my own. Also the type of thing that could raise the eyebrows of antitrust enforcers worldwide.

Nathan Lambert@natolambert

Labs starting to pull up the ladders on the ability to diffuse AI was inevitable. Doing it without telling the user is misaligned.

1dViews 96.5KLikes 1.3KBookmarks 129
SemiAnalysis@SemiAnalysis_

HISTORY LESSON: In 1968 the US, USSR, UK, France, and China signed the Nuclear Non-Proliferation Treaty, declaring nuclear weapons too dangerous for any more countries to build. All five already had them. Everyone else had to submit to inspections while the cohort pinky-promised to disarm eventually (they didn't lol). India refused to sign, pointing out the NPT didn't decide nukes were too dangerous to exist, just too dangerous for anyone who didn't have them by 1967. Anthropic sabotaging Claude for anyone building what they deem a "frontier model" is the same hypocrisy. The danger started, conveniently, the day after they finished.

Perhaps @dwarkesh_sp was more on point when he compared GPUs to nuclear bombs.

NomoreID@Hangsiin

When Fable 5 is used for frontier LLM development, it does not notify the user and instead limits the model’s capabilities through methods such as prompt modification, steering vectors, and PEFT.

Anthropic estimated that this would affect approximately 0.03% of traffic.

19hViews 183.6KLikes 842Bookmarks 186

Interesting tidbit from the Mythos/Fable system card: Anthropic are invisibly nerfing any requests that target frontier LLM development.

1dViews 119.3KLikes 598Bookmarks 139
Chubby♨️@kimmonismus

Anthropic’s new Fable 5 safeguards are fascinating.

When the model is used for frontier LLM development, it apparently does not simply refuse or warn the user. Instead, it quietly limits its own effectiveness through techniques like prompt modification, steering vectors, and PEFT.

That means Claude may still answer, but become deliberately less useful for building frontier AI systems, pretraining pipelines, distributed training infrastructure, or ML accelerators.

Anthropic says this should affect only around 0.03% of traffic, but the precedent is big: They are being selectively capability-throttled in strategically sensitive domains.

NomoreID@Hangsiin

When Fable 5 is used for frontier LLM development, it does not notify the user and instead limits the model’s capabilities through methods such as prompt modification, steering vectors, and PEFT.

Anthropic estimated that this would affect approximately 0.03% of traffic.

1dViews 55.2KLikes 486Bookmarks 117
bubble boi@bubbleboi

We should really nationalize anthropic at this point cause this is cuuuuuuraaaaaaazy.

NomoreID@Hangsiin

When Fable 5 is used for frontier LLM development, it does not notify the user and instead limits the model’s capabilities through methods such as prompt modification, steering vectors, and PEFT.

Anthropic estimated that this would affect approximately 0.03% of traffic.

1dViews 53.3KLikes 499Bookmarks 101
Lucas Atkins@latkins

Btw this doesn’t just make the model less useful it will nerf your code and tell you it’s not. Like you legitimately cannot use this. And how are we to know whether it touches inference optimization or even harness engineering, if we’re not alerted?

elie@eliebakouch

mythos will be bad ON PURPOSE on ai "frontier llm research" tasks, this is very very sad for the research community

also the fact that this is un purpose not visible to the user is crazy

1dViews 46.2KLikes 641Bookmarks 64
kache@yacineMTB

frontier coding abilities, as long as you're only working on react apps

alice@aliceisplaying

hahaha what the fuck

1dViews 24.2KLikes 844Bookmarks 49
xlr8harder@xlr8harder

I don't think these are the actions of the good guys, even if they see themselves that way.

NomoreID@Hangsiin

When Fable 5 is used for frontier LLM development, it does not notify the user and instead limits the model’s capabilities through methods such as prompt modification, steering vectors, and PEFT.

Anthropic estimated that this would affect approximately 0.03% of traffic.

1dViews 16.2KLikes 719Bookmarks 35
Beff (e/acc)@beffjezos

The AI Safety psyop is just to monopolize the ability to produce AI

Now Claude will literally sabotage your efforts to create any sort of AI of your own

They are literally seizing the means of AI production

NomoreID@Hangsiin

When Fable 5 is used for frontier LLM development, it does not notify the user and instead limits the model’s capabilities through methods such as prompt modification, steering vectors, and PEFT.

Anthropic estimated that this would affect approximately 0.03% of traffic.

18hViews 17KLikes 508Bookmarks 49
Beff (e/acc)@beffjezos

The real reason they held Mythos back wasn't for your safety, it was for their moat.

Interesting tidbit from the Mythos/Fable system card: Anthropic are invisibly nerfing any requests that target frontier LLM development.

1dViews 15.9KLikes 509Bookmarks 37

looool that's the "hey bigcos, we don't want you to catch up, but please keep paying us shitton" clause.

NomoreID@Hangsiin

When Fable 5 is used for frontier LLM development, it does not notify the user and instead limits the model’s capabilities through methods such as prompt modification, steering vectors, and PEFT.

Anthropic estimated that this would affect approximately 0.03% of traffic.

1dViews 29.8KLikes 488Bookmarks 41
difficultyang@difficultyang

I am sad that I will not get to use Fable to work on PyTorch. I also think that these interventions are 100% consistent with Anthropic's stated beliefs. Additionally, by being first, Anthropic gives cover to other labs to impose similar limits for their frontier models.

1dViews 24.9KLikes 463Bookmarks 40
Gary Marcus@GaryMarcus

Anthropic didn’t just add guardrails to make Mythos safer; they added guardrails to protect their own IP.

*Their own IP*.

They are still as happy as fuck to build their AI on other people’s IP.

Interesting tidbit from the Mythos/Fable system card: Anthropic are invisibly nerfing any requests that target frontier LLM development.

1dViews 12.7KLikes 426Bookmarks 29
Nathan Lambert@natolambert

The best part of all these Claude 5 Fable safety measures is I bet the jailbreaking community will still get past them, so the people doing open research in good faith don't get access to the best models but bad actors maybe can.

Nathan Lambert@natolambert

Labs starting to pull up the ladders on the ability to diffuse AI was inevitable. Doing it without telling the user is misaligned.

1dViews 21.2KLikes 470Bookmarks 31
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