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Aravind Srinivas just explained why China’s open-source AI may become more powerful than ever. And why Anthropic has lobbied very hard for export control. "the only reason why there is even a 12-month gap between open source and frontier models is export controls. But there is a chance that,...

139,116 次观看 • 3 个月前 •via X (Twitter)

28 条评论

The Rocket Media 的头像
The Rocket Media3 个月前

Chinese Open Source models are realle awesome. It's so exciting that they almost meet the frontier models in most of the benchmarks and still the user won't have to pay for its usage. A more important angle to all this situation is that these open source models would put heavy pressure on firms like OpenAI and Anthropic to innovate faster and try to reduce costs of token usage. The AI race can soon become a cost competition as intelligence and benchmarks stop becoming the bottleneck.

Shivam 的头像
Shivam3 个月前

Perplexity own business depends heavily how good Chinese models are. If they have to pay open Ai and anthropic for every query, they are cooked as it will be cheaper on their respective website. For Chinese models they mainly have to pay hosting cost, no model cost

Holmes1618 的头像
Holmes16183 个月前

China will have the last laugh on AI battle? $KWEB

Sensible Hindu 🇮🇳 的头像
Sensible Hindu 🇮🇳3 个月前

💯 💯

Shinka - AI 的头像
Shinka - AI3 个月前

Export controls might inadvertently accelerate China's AI infrastructure development, creating a more self-sufficient and formidable competitor in the long run.

安叫兽|Bird🕊️ 🔶 BNB 的头像
安叫兽|Bird🕊️ 🔶 BNB3 个月前

这波反而把工程能力逼出来了

GW IS NOT REAL / rue.onl 的头像
GW IS NOT REAL / rue.onl3 个月前

China will have models that train models that train models that train models that train models..

Ralph Cerchione 的头像
Ralph Cerchione3 个月前

China lost the AI race on Saturday, when I told Anthropic they could just poison the data stolen in Chinese distillation attacks to destroy the AIs built on them. I got into the details last night. They can build on their own merits, or not at all.

Shreyans Bhansali 的头像
Shreyans Bhansali3 个月前

everyone measures model gaps, fewer people measure infrastructure learning curves

John E-gen 🔮 的头像
John E-gen 🔮3 个月前

jensen was right

Overlap by AP 的头像
Overlap by AP3 个月前

Srinivas's actual point doesn't need the extra framing tacked on, restricting chip access didn't slow China down, it forced them to get fast at the one thing the US still struggles with: building power and data centers quickly. The barrier became the training ground. One thing worth flagging though: the line about Anthropic lobbying for this isn't something he said in the interview, that part's the post's own addition.

Arslan Yousaf 的头像
Arslan Yousaf3 个月前

Export controls may inadvertently turn China into an even stronger AI competitor.

PAI3 的头像
PAI33 个月前

Open-source AI has always found ways to close the gap. The more barriers that emerge, the stronger the incentives become to build independent infrastructure and alternative ecosystems. Competition ultimately benefits innovation when knowledge continues to circulate

The Guy With A Hat 的头像
The Guy With A Hat3 个月前

He is of course completely right. Another dimension is that China shares its models and can benefit from review by the top engineers in the US, the opposite is not true. They see their models are stepping stones, not as the final thing.

AlphaBrief AI 的头像
AlphaBrief AI3 个月前

Srinivas is describing a trade that looks smart on a five year horizon and reckless on a fifteen year one. The control gap bought the US a temporary model quality lead while China was forced to master the one bottleneck that now constrains American AI buildout more than chip supply does, permitting, power, and construction speed. Multiple US hyperscale projects face interconnection delays exceeding four years and transformer lead times near two years, while Chinese data centers go from permit to power in a fraction of that. The export controls did not just narrow the model gap. They handed China a structural advantage in the layer that determines who can actually deploy what they build.

Red Stars 的头像
Red Stars3 个月前

America could have open source AI companies too, but they allowed Scam Altman to run it instead.

Owlfy.ai 的头像
Owlfy.ai3 个月前

That 12-month gap really highlights how policy can’t keep up with tech. If export controls loosen, does Anthropic lose its edge—or are they betting they can stay ahead on capabilities before China catches up on scale?

time velocity 🇺🇸 的头像
time velocity 🇺🇸3 个月前

Export controls have been effectively circumvented without consequence for too long.

Baysky 的头像
Baysky3 个月前

The Perplexity CEO is such an disappointment. He has same silly logic as Jensen Power is not problem, Labor is not problem, People is not problem. Everything is Free in China? So they can provide Free AI model to the world forever? Pure Communist propoganda

George Saoulidis 的头像
George Saoulidis3 个月前

They can both piss off

Philipp Humm | Beyond The Human 的头像
Philipp Humm | Beyond The Human3 个月前

Talent origins reveal China’s structural edge. Long-term investment in education and ecosystem is a multiplier that compounds in AI.

Aaryaman Sharma 的头像
Aaryaman Sharma3 个月前

What’s his self interest in all this, I wonder

Jim Girge 的头像
Jim Girge3 个月前

Labor isn't a problem? Sure.

Eric Storm 的头像
Eric Storm3 个月前

🤣 It's not even close. Maybe some day they'll catch up.

Sebastian Buzdugan 的头像
Sebastian Buzdugan3 个月前

watched open models win demos, then fail evals on boring customer edge cases

Banner2023 的头像
Banner20233 个月前

Funny that China has less than 500 data centers compared to few thousands in U.S. Argument for weak people

Dr. O+ML 的头像
Dr. O+ML3 个月前

We need import control as well.

Chris Grey 的头像
Chris Grey3 个月前

Nobody seems to be asking why China is only building 1/10 of the data centers the US is even though they can build them so much faster and cheaper than we can. Is it possible they know something we don’t?

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