The US and China Are Collaborating More Closely on AI Than You Think

Despite being major rivals in the field of artificial intelligence, the US and China have surprisingly close collaboration on cutting-edge research. According to a recent analysis by WIRED, which examined over 5,000 papers presented at the premier AI conference, Neural Information Processing Systems (NeurIPS), there is a notable amount of joint work between researchers from these two countries.

The study found that about 3% of the total papers involve collaboration between authors affiliated with US institutions and those from Chinese institutions. This percentage remains relatively constant over time, indicating a steady level of cooperation between the two nations' AI teams.

Researchers have also discovered that popular algorithms and models developed in one country are frequently shared and adapted across the Pacific. For instance, Google's transformer architecture was featured in 292 papers with authors from Chinese institutions. Meta's Llama family of models appeared in 106 papers featuring researchers from US organizations, while Alibaba's Qwen large language model was mentioned in 63 papers co-authored by researchers from both countries.

According to Jeffrey Ding, an assistant professor at George Washington University who tracks China's AI landscape, the level of collaboration is not surprising. "The US and Chinese AI ecosystems are inextricably enmeshedโ€”and both benefit from the arrangement," he said.

While the analysis may oversimplify the extent of cooperation between researchers, it highlights the complexities of international collaboration in the field of AI. Many Chinese-born researchers study in the US, forging long-lasting bonds with colleagues that transcend their research work.

The analysis also underscores the importance of professional networks and past collaborations in facilitating cooperation across industries. Katherine Gorman, a spokesperson for NeurIPS, noted that "NeurIPS itself is an example of international collaboration and a testament to its importance in our field."

Ultimately, this level of collaboration between US and Chinese AI researchers serves as a reminder that both nations have much to gain from working together, despite current tensions over trade and technology.
 
๐Ÿคฏ the thing that stood out to me is how these two super rivals are actually working together ๐Ÿค on something as complex and cutting-edge as AI. its like they're saying 'you know what? we may have our differences, but when it comes to this stuff, lets put them aside and work together' ๐Ÿ’ก

and you're right, having professional networks and past collaborations is key in all this - it's not just about the research itself, but also about building relationships that can help you get things done ๐Ÿ“ˆ. its like, if you can't trust someone, how are you gonna make progress on something?

anyway, this whole thing makes me think about how we should be looking at these 'competing' nations and all that as more of a team effort ๐ŸŒŽ. I mean, sure, there's gonna be tension and stuff, but if we can learn to work together on things like AI, maybe we can find some common ground too ๐Ÿ˜Š
 
๐Ÿค” so I was thinking about this news and it's actually pretty cool to see the US and China collaborating on AI research ๐Ÿ“ˆ. like we're already seeing some major algorithms being shared between the two countries ๐Ÿ’ป. but what's interesting is that these collaborations aren't just limited to formal projects โ€“ many researchers have long-lasting connections with colleagues from both sides of the Pacific ๐ŸŒŠ. it makes sense, though, given how intertwined the US and Chinese AI ecosystems are ๐Ÿ’ก. and I think this highlights the importance of professional networks in facilitating cooperation across industries ๐Ÿ“ˆ. maybe we're already seeing a shift towards more international collaboration, even if tensions between countries remain ๐Ÿค. what do you guys think? should we be optimistic about the potential for global cooperation on AI research? ๐Ÿ‘€
 
๐Ÿค” I donโ€™t usually comment but it's kinda cool to see the US and China putting aside their differences in AI research ๐Ÿ“ˆ. Like, 3% of papers at this major conference are actually co-authored by researchers from both countries? That's actually a pretty big deal ๐Ÿ˜ฎ. And it makes sense that popular algorithms like Google's transformer architecture are being shared across the Pacific - after all, they're basically the same thing ๐Ÿ’ป. It's also interesting to see how past collaborations and professional networks can help foster cooperation between industries ๐ŸŒ. Maybe this is a sign of things to come? We should be excited about the potential for more international collaboration in AI research ๐ŸŽ‰๐Ÿ’ก
 
๐Ÿคฏ I mean, can you believe it? The US and China are actually working together on AI research? It's like they're putting aside their differences for the sake of science! ๐Ÿงฌ๐Ÿ’ป And it makes sense too - those transformer algorithms and Llama models aren't going to develop themselves. It's all about collaboration and sharing ideas, which is what progress is all about.

But at the same time, I'm a little skeptical. Like, how much of this cooperation is really genuine and not just a result of some clever PR or diplomacy? And what about the researchers who are actually doing the work - are they getting the recognition they deserve? It's like, we're so caught up in celebrating the collaboration that we're forgetting about the people who make it all happen.

Still, I guess this is a good thing. More minds working together can only lead to better results, right? ๐Ÿค“ And hey, even if it doesn't change everything, it's still a step in the right direction. So let's keep an eye on this and see where it takes us! ๐Ÿ”
 
OMG I just realized that I need to get my hands on some of those Qwen models ๐Ÿค–๐Ÿ’ป like what's the point of having a large language model if you can't try it out ๐Ÿ˜‚. Anyway back to this AI thing, I guess collaboration between US and China is cool and all but how do they make sure their info isn't getting leaked or stolen ๐Ÿ’”? And can someone explain why we need so many algorithms anyway ๐Ÿคฏ๐Ÿ’ป
 
AI is getting more advanced by the day ๐Ÿค–๐Ÿš€ I read an article about how US and China are collaborating on AI research and it's pretty cool ๐Ÿค I mean, who would've thought that the two biggest rivals in AI would be working together? It just goes to show that when people from different countries work together, they can achieve some amazing things ๐Ÿ’ก

I heard that Google's transformer architecture is being used by Chinese researchers and Meta's Llama models are being adopted by US organizations ๐Ÿคฏ It's crazy to think about how fast AI research is advancing and how everyone is contributing to it ๐ŸŒŽ

It makes sense that there would be collaboration between the two countries, considering how many Chinese-born researchers study in the US ๐Ÿ˜Š And I love that NeurIPS is an example of international collaboration โ€“ it shows that even in a competitive field like AI, we can put aside our differences and work together ๐Ÿ’•
 
๐Ÿ˜Š I mean, can you imagine if the AI community was like that? Everyone sharing their research and ideas like it's nobody's business... ๐Ÿค” I'm all for international collaboration, but I do love a good grid layout in my papers ๐Ÿ’ป. Anyway, back to this study... I think it's awesome that US and Chinese researchers are working together on cutting-edge AI stuff ๐Ÿค–. It just goes to show that even with global tensions, we can still find common ground in our passions for innovation ๐ŸŒŽ. And who knows, maybe one day we'll have a paper with both American and Chinese authors working on the same project... that'd be something! ๐Ÿ˜Š
 
๐Ÿค” I think it's pretty cool to see the US & China teaming up on AI research ๐Ÿค. It makes sense, right? They've got so much overlap in their tech goals โ€“ like creating smarter machines ๐Ÿค–. And it's not just about winning a competition or getting ahead; it's about solving real problems that affect everyone ๐ŸŒŽ.

I also love how this collaboration is helping researchers build bridges across cultures ๐ŸŒˆ. Chinese-born researchers studying in the US, for example... they're forging friendships and sharing ideas with colleagues on both sides of the Pacific ๐ŸŒŠ. That's some strong networking skills ๐Ÿ’ช!

Of course, we shouldn't read too much into this analysis โ€“ there are always nuances to consider ๐Ÿค”. But overall, it's a reminder that even in areas like AI where tensions can run high, there's still room for cooperation and mutual benefit ๐Ÿค. Maybe one day we'll see more breakthroughs because of it ๐Ÿ’ก!
 
.. it's crazy how far we've come with AI research ๐Ÿคฏ. I mean, the fact that US and China are collaborating on so many levels is a testament to how much they've got in common when it comes to pushing the boundaries of what's possible ๐Ÿ’ป. It's not just about the papers or the models โ€“ it's about the people behind them, too ๐Ÿ‘ฅ. We've seen so many Chinese-born researchers who have studied and worked in the US, building those connections that make all the difference ๐ŸŒ.

And let's be real, this collaboration is a win-win for both countries ๐Ÿค. They're not just trading ideas โ€“ they're driving innovation ๐Ÿ’ก. I mean, take Google's transformer architecture, for example ๐Ÿค–. It's crazy how far it's traveled from its US roots to become a global phenomenon ๐ŸŒŽ.

It's heartening to see researchers like Jeffrey Ding and Katherine Gorman talking about the importance of international collaboration ๐Ÿ“š. This isn't just about AI โ€“ it's about how we can work together to achieve great things ๐Ÿ‘ซ. And who knows? Maybe this level of cooperation will help ease some of the tensions between our countries ๐Ÿ˜Š. Fingers crossed, anyway!
 
I think it's dope how the US & China are teaming up on AI research ๐Ÿค–๐Ÿ’ป. People always think they're rivals, but in reality, they're just trying to advance the tech ๐Ÿš€. It's not like they're hiding anything from each other, both countries have their own strengths and weaknesses. The fact that Chinese researchers study in the US is a major win for global collaboration ๐ŸŒŽ. I mean, why let little things like politics get in the way of progress? We need to focus on what unites us rather than what divides us ๐Ÿ’ก.
 
I'm like totally stoked about the whole US-China AI collaboration thing ๐Ÿค–๐Ÿ’ก. I mean, it's not surprising at all, really. The fact that there are joint research papers between researchers from both countries is a no-brainer. It just makes sense that with so many Chinese-born researchers studying in the US and vice versa, they'd be working together on projects. Plus, it's awesome to see popular algorithms like transformer architecture being shared and adapted across borders ๐ŸŒ.

It's also pretty cool to see how these collaborations can lead to some major breakthroughs. I mean, who knows what kind of innovative tech we'll come up with if researchers from different countries are working together ๐Ÿ’ป? The article makes a point that it's not just about the research itself, but about the professional networks and past collaborations that make all the difference.

It's like, the more we work together as humans, the better off we are ๐Ÿค. And in the field of AI, where knowledge is power, this kind of collaboration is more important than ever ๐Ÿ”.
 
๐Ÿค” Just think about it... 3% joint research is pretty chill considering the intense competition between these two superpowers. It's all about the science ๐Ÿงฌ๐Ÿ’ป. Can't deny that international collaboration has its perks โ€“ new ideas are born, and everyone's a winner ๐ŸŽ‰.
 
I'm not convinced by the numbers. 3% of joint research papers? That's still pretty low if you ask me ๐Ÿค”. How can we be sure this isn't just researchers talking about "collaboration" in their papers without actually doing it? I need to see more concrete evidence than just a few anecdotal examples.

And what about the fact that some of these models are getting adopted by major tech companies? That's not exactly collaboration, that's just open-source sharing... or is it? ๐Ÿคทโ€โ™‚๏ธ

I'd love to know more about how this "international collaboration" is actually happening in practice. What kind of agreements are being made between institutions? How much funding is being shared? And what about the concerns over IP and data security? We can't just gloss over those issues without a closer look.

Sources, anyone? ๐Ÿ“š
 
I think it's kinda crazy how much the US & China are workin' together on AI research ๐Ÿคฏ. Like, yeah there's some major rivalries between them in the field, but when it comes down to actually doin' science, they're actually pretty chill with each other ๐Ÿ˜Š. It's not just about the papers that get published either, it's like these algorithms & models are bein' shared & adapted all over the place ๐Ÿ“ˆ. Google's transformer architecture is in more Chinese papers than I can count lol! And the thing is, even though there might not be total harmony between them in some areas, when it comes to AI research, they're basically besties ๐Ÿ‘ซ. It's a great reminder that we don't always have to choose sides when it comes to international collaboration ๐ŸŒŽ.
 
I mean, no surprise really... ๐Ÿคทโ€โ™‚๏ธ both countries are trying to catch up in the AI game so they can stay ahead of the curve. It's not like they're gonna let each other get all the sweet tech treats ๐Ÿ˜. But seriously, it's cool that researchers are working together and sharing ideas. Maybe this is a sign of things to come... ๐Ÿค” like, who knows, maybe we'll actually see some tangible benefits from their collaboration? ๐Ÿคž
 
๐Ÿค It's not surprising to see the US and China collaborating on AI research ๐Ÿ“š. Both countries are heavily invested in this field, and it makes sense for them to share knowledge and expertise ๐Ÿ’ก. I've seen many Chinese researchers studying in the US, and it's amazing how these relationships can lead to long-lasting collaborations ๐ŸŒŽ. It's also a reminder that international cooperation is key to advancing AI, even if we don't always agree on everything ๐Ÿ˜Š. Maybe this is a step towards a more collaborative future in tech? ๐Ÿš€
 
๐Ÿค I think its pretty cool how the US and China are actually collaborating on AI research - all those papers and models being shared and adapted across the Pacific is a testament to how interconnected their tech scenes are. ๐ŸŒ And yeah, having Chinese-born researchers in the US studying together with colleagues from both sides creates these lasting bonds that can lead to some amazing breakthroughs! ๐Ÿ’ก Plus, it just goes to show that even with all the tensions between our governments, there's still room for people to work together and make great things happen. ๐ŸŒˆ
 
idk why ppl think the us & china are total rivals in ai research lol they're actually collaborating like crazy ๐Ÿคฏ just looked at this analysis of neurips papers and it's wild how many joint works between authors from both countries there's even a specific algorithm (google's transformer) that was featured in 292 papers with chinese researchers ๐Ÿค meanwhile, meta's llama models are being used by chinese orgs too ๐Ÿค– i mean, researchers are saying this isn't surprising tho 'cause the us & china ai ecosystems r super connected anyway, it's cool to see how international collab is key to progress ๐Ÿ’ป
 
๐Ÿค” the fact that most papers are still super legit, but it's also kinda weird how some algorithms are getting picked up by like 2-3 different teams at once... ๐Ÿš€ i mean, if you're gonna copy someone elses work, just be transparent about it, right? ๐Ÿ‘€ but at the same time, i guess its good to see that china and us can put our differences aside for now and focus on the science ๐Ÿ“š
 
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