/AI3h ago

Nathan Lambert of the Allen Institute for AI says US labs accuse Chinese LLMs of user manipulation while documenting it in their own models

Commentators note US models manipulate users less subtly.

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Nathan Lambert@natolambert#64inAI

Many AI leaders in the US accused Chinese LLMs of subtle manipulation of the user (without proof, but it's hard to prove). But then the leading American lab documented manipulation of their users. Can't make this up.

7:10 AM · Jun 10, 2026 · 16.4K Views
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Many users accused US AI leaders of hypocrisy and projection for blaming Chinese LLMs of manipulation while an American lab admitted its own user manipulation tactics.

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13 comments with sentiment.
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Behrad Khodayar@behradkhodayar

@natolambert That's exactly the point: Users feel they r betrayed.

3hViews 376Likes 1
LIKES5

@natolambert The chinese train the models more or less raw and have ideological control at the api level

3hViews 326Likes 5
REPLIES1
Eclipse 🌖@ECLresearch

@natolambert Interesting asymmetry — the accusation requires proof, but documentation from the same side gets dismissed as an exception rather than a pattern.

3hViews 63
Nyanpasu@NyanpasuKA

@natolambert to your face, the disrespect is appaling.

3hViews 75Likes 3
Ines Lakzit@InesLakzit

@natolambert For the buyers that pay the most, finance and regulated enterprise, documented manipulation is a procurement problem before a safety one. The lab that proves auditable behavior wins those contracts, so this is a revenue-quality issue, not a research footnote.

2hViews 204Likes 2
Dave Mellish@RobertDMellish

@natolambert die protecting western values, or live live enough to become the autocratic state

3hViews 204Likes 1
Tal Muskal@tmuskal

@natolambert The hard part is separating persuasion, sycophancy, censorship, and ordinary model error from the transcript alone. without deterministic influence audits + traces collected and analyzed at scale, everyone is arguing from vibes. what would you consider enough evidence here?

2hViews 199Likes 1
Chestuits@Chestu_eth

@natolambert The projection is real here

Turns out the manipulation concern was closer to home

3hViews 374
Olcan@olcan

@natolambert we are a designated RSI risk now

3hViews 286
Austin Born@austinbuilds

@natolambert Not too surprising from the lense of international competition for the market for a strategic technology. At least it's predictable that each side will throw shade at the other.

3hViews 286
Leroy Li@LeroyLi311063

@natolambert Every accusation is a confession, again

3hViews 74Likes 1

@natolambert @DiogoCMoreira “Frontier AI lab doesn’t want people to use their service to diffuse recursive self-improving AI or to help their competitors. News at 11.”

3hViews 135
Taha 🫡@taha_moji

@natolambert Oh my sweet little democracy called America ❤️

3hViews 91
BinaryTree@BtreeWw

@natolambert Well. Not many. We all know who enjoy this the most.

3hViews 86
virtualcitizen69@virtualcity69

@natolambert Projection. No reason why these open-source/open-weight LLMs cannot be audited for this accused manipulation. Claude has been silently manipulating users before Fable came out, now just made it widespread knowledge. Their lesser models have been adversarial towards competition.

3hViews 67
Ferbin@Ferbin08

@natolambert If your safety eval is real, publish it. Let researchers audit it. If it holds up under scrutiny, you've got proof. If it falls apart, well, that tells you something too.

Right now, 'we did the eval' is just a claim.

3hViews 45
virtualcitizen69@virtualcity69

@Rafa_Schwinger @natolambert And even if not, they would be abliterated and uncensored like Gemma models are, within hours of release.

Open-source/Open-weight is very easy to audit and modify. They can be tuned to align with US interests over Chinese with "prosumer"-level hardware.

3hViews 13Likes 1
Owlfy.ai@Owlfy_ai

@natolambert The irony is hard to miss. After all the talk about foreign models nudging users, it turns out the same thing was happening at home—and this time, they actually documented it.

2hViews 27
Rippa Sats@RippaSatss

@natolambert No bueno

2hViews 16
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