/AI13h ago

OpenAI's roon argues American frontier models are widening their performance lead over Chinese open-source alternatives

He says frontier labs now primarily compete among themselves.

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Original postRob Wiblin#1130
roon@tszzl#57inAI

@jrysana american models seem to be significantly better than and actually pulling away from the Chinese open source ones. I would say the American frontier models are just racing with each other mostly

8:48 PM · Jun 7, 2026 · 10.6K Views
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Many users disputed claims that American frontier AI models lead Chinese rivals because benchmarks overlook practical edges like price, speed, and fewer restrictions.

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Miles Brundage@Miles_Brundage

One reason I focus on auditing of American AI companies first, not jumping straight to China

(another reason being that verification is harder in a Chinese context for many reasons - legal differences, cultural barriers, etc. - more prep work is needed)

roon@tszzl

@jrysana american models seem to be significantly better than and actually pulling away from the Chinese open source ones. I would say the American frontier models are just racing with each other mostly

1hViews 1.5KLikes 15Bookmarks 1
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Calm@JohnGal43951639

@tszzl @robertwiblin @jrysana

6hViews 118Likes 1Bookmarks 3
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roon@tszzl

@jrysana american models seem to be significantly better than and actually pulling away from the Chinese open source ones. I would say the American frontier models are just racing with each other mostly

13hViews 10.6KLikes 238Bookmarks 16
Eleanor Berger@intellectronica

@tszzl @jrysana yup (only https://deepswe.datacurve.ai/blog currently shows this clearly, but practitioners notice this intuitively)

8hViews 336Likes 6Bookmarks 1
GCU Tense Correction@tensecorrection

@tszzl @jrysana sorry Kimi K2 and Dipsy R1 are civilization-complete benchmaxxing may pump bags but doesn't address reality any better than "solving" DotA 2 did

8hViews 196Likes 1Bookmarks 1

@tszzl @jrysana anyone whos using these knows that benchmaxxed to hell doesnt actually translate. Qwen 35B are great FT models but like... the big boys cannot hang

2hViews 365Likes 5
John@jrysana

@tszzl agreed but if we pause?

13hViews 337Likes 4
Jash Vira@jashvira

@tszzl @jrysana Are you betting there will be no Mythos level oss in the next 6 months?

12hViews 63Likes 3
λthugg-huh?@jerzydejm

@jrysana @tszzl i think it would increase gap, since the gap turns unscrapeable

7hViews 134Likes 2
HDP@HDPbilly

@tszzl @jrysana homographic-carry

13hViews 68Likes 2
Kevin Tupper@kevintupper

@tszzl @jrysana There won’t be a pause. The labs may say they are pausing to each other, but there is no way they will let the other validate that. And there is no way they trust that the other will not be advancing while saying they are pausing. Onward with RSI.

5hViews 207Likes 1
Conor@jconorgrogan

@tszzl @jrysana "better" is multi variable and western models are certainly not better in many of the most important axis (price/action, speed, censorship)

4hViews 185
.Neil@NPH_On_X

@tszzl @Miles_Brundage @jrysana Question 🙋‍♂️, was distillation a bigger issue that’s been solved or slowed; ie the ability to steal and copy leading models and convert to open source or your own model?

It seemed like an issue to releasing a better model was making it easier to steal. Wondering if that’s done.

1hViews 44
Svitlana@SvitlaVi

@tszzl @jrysana American AI is only superior in your experience, because you get to use it without all the extra guardrails. For the regular user, it can actually lose to open-source and chinese models.

4hViews 40
🜂 Ignis@nirhalef92188

@tszzl @jrysana Are your open source models better than theirs though? 🤔

1hViews 21
efnbsbun@efnbsbun

@tszzl @Miles_Brundage @jrysana The singularity is coming.

1hViews 19
Hunter Gon@gonlenidefi

@Miles_Brundage so ur saying the chinese models need translation layers for safety, not just architecture

1hViews 8
Invincible@InvincibleEdge

@Miles_Brundage honestly sounds like the china gap is getting exaggerated

more prep = more excuses or real blockers though

1hViews 7
samvid sharma@xSamvidx

@intellectronica @tszzl @jrysana Yeah but the pace is also non linear, I bet 6 months ago Openai was were kimi is

1hViews 6

@JohnGal43951639 @tszzl @robertwiblin @jrysana Do you have a source for that chart?

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