Podcasts about chinai

In this episode of the ChinaPower Podcast, Dr. Jeffrey Ding joins us to discuss U.S.-China artificial intelligence (AI) competition and his book, Technology and the Rise of Great Powers: How Diffusion Shapes Economic Competition. Dr. Ding describes the framework he uses to understand the competition between the US and China on AI and explains that while many assume leading a technological competition comes from developing the next breakthrough invention, it should actually be centered around the diffusion of these technologies throughout their population of users. Technological leadership, therefore, depends on which country can best transfer and spread innovation from its top firms to the entire economy more effectively. Dr. Ding notes that China prioritizes an innovation-centric approach while neglecting broad-based technical and STEM education. He finds that the United States is better positioned than China to adopt and diffuse AI across a broad spectrum of sectors, given that more U.S. training institutions meet a quality baseline compared to China's. Dr. Ding advises that since the United States is better positioned to diffuse AI technologies throughout its economy, it should focus on “running fast” rather than restricting China's access to advanced technologies. Finally, Dr. Ding recommends that Washington focus on education policy, widening the base of AI engineers by increasing training sites, supporting public-private partnerships, and helping SMEs develop their AI capabilities. Dr. Jeffrey Ding is an Assistant Professor of Political Science at George Washington University, and the author of Technology and the Rise of Great Power: How Diffusion Shapes Economic Competition. Previously, he was a postdoctoral fellow at Stanford's Center for International Security and Cooperation, sponsored by Stanford's Institute for Human-Centered Artificial Intelligence. His research has been published or is forthcoming at European Journal of International Security, Foreign Affairs, Review of International Political Economy, and Security Studies, and his work has been cited in The Washington Post, The Financial Times, and other outlets. He also writes a weekly "ChinAI" newsletter, which features translations of Chinese conversations about AI development, to 12,000+ subscribers including the field's leading policymakers, scholars, and journalists. Dr. Ding holds a Ph.D in international relations from Oxford University, where he studied as a Rhodes scholar.

In this episode of The Truth in This Art, I sit down with Chinai Routte, an accomplished actor with performances spanning off-Broadway, regional theater, and film. Chinai is currently playing Margaret in Everyman Theatre's production of POTUS: Or, Behind Every Great Dumbass Are Seven Women Trying to Keep Him Alive By Selina Fillinger, Directed by Laura Kepley. We explore the sharp political satire of the play, which dives into themes like gender equality and the pressures women face in leadership roles. Chinai shares her journey in the theater world and gives insights into her portrayal of Margaret, a First Lady balancing strength and vulnerability amidst political chaos. This episode highlights the humor and relevance of the production, especially in today's political climate.POTUS runs at Everyman Theatre until September 29th, 2024. Don't miss your chance to catch this incredible show! For tickets and more information, visit Everyman Theatre's website. This program is supported in part by a grant from the Robert W. Deutsch Foundation.If you have a story about art, culture, or community in Baltimore, share it with us at rob@thetruthinthisart.com for a chance to be featured on "The Truth In This Art" podcast. This is a unique opportunity to contribute to the arts and culture podcast scene and showcase your insights on "The Truth In This Art" with Rob Lee.Follow The Truth In This Art on Twitter, Threads, IG, and Facebook @truthinthisart Original music by Daniel Alexis Music with additional music from Chipzard.Episode illustration by Alley Kid Art.About "The Truth In This Art"Hosted by Rob Lee, "The Truth In This Art" podcast dives into the heart of creativity and its influence on the community. This arts and culture podcast from Baltimore highlights artists discussing their ideas, sharing insights, and telling impactful stories. Through these artist interviews, listeners gain a deeper understanding of the creative economy and artistic life in Baltimore. Support the show:Merch from Redbubble | Make a Donation  ★ Support this podcast ★

It's time to navigate the riveting world of capital markets and technology. Neil Chinai, Operating Partner at Sand Hill East joins us to discuss four technology trends you should be tracking if you work in Capital Markets. With over 25 years of experience driving innovation in IT for Tier 1 banks, Neil brings a wealth of expertise to the table. During this episode Neil and host, James Jockle of Numerix, provide expert insight on how low code, no code, and blockchain asset tokenization are reshaping the financial industry. We also discuss the vast impact AL/ML has and will have on the industry and digitalization in the face of recent technological advancements. 

Jeff Ding is the leading US scholar on China and AI and author of one of the earliest China-focused Substacks, ChinAI. He recently published a fire paper called, “The diffusion deficit in scientific and technological power: re-assessing China's rise.” It makes the argument that diffusion capacity (not just innovation capacity) is critical to economic growth — and China actually fares much worse in diffusion capacity than mainstream narratives imply. In particular, “In cases when the emerging power has a strong innovation capacity but weak diffusion capacity (diffusion deficit), it is less likely to sustain its rise than innovation-centric assessments depict. Conversely, when the emerging power possesses a strong diffusion capacity but weak innovation capacity (diffusion surplus), it is more likely to sustain its rise than innovation-centric assessments portray.” Mainstream narratives, meanwhile, “only compare the U.S. and China's ability to produce new innovations, neglecting their ability to effectively use and adopt emerging technologies. By revealing the gap between China's innovation capacity and diffusion capacity, this paper argues that innovation-centric assessments mistakenly inflate China's S&T power.” We discuss lessons from past industrial revolutions, what Cohosting is Teddy Collins, formerly of the White House Office of Science and Technology Policy and DeepMind. Outtro music: https://www.youtube.com/watch?v=17Y7-gm8STI midjourney prompt: "frank quietly industrial revolution" Learn more about your ad choices. Visit megaphone.fm/adchoices

Jeff Ding is the leading US scholar on China and AI and author of one of the earliest China-focused Substacks, ChinAI. He recently published a fire paper called, “The diffusion deficit in scientific and technological power: re-assessing China's rise.” It makes the argument that diffusion capacity (not just innovation capacity) is critical to economic growth — and China actually fares much worse in diffusion capacity than mainstream narratives imply. In particular, “In cases when the emerging power has a strong innovation capacity but weak diffusion capacity (diffusion deficit), it is less likely to sustain its rise than innovation-centric assessments depict. Conversely, when the emerging power possesses a strong diffusion capacity but weak innovation capacity (diffusion surplus), it is more likely to sustain its rise than innovation-centric assessments portray.” Mainstream narratives, meanwhile, “only compare the U.S. and China's ability to produce new innovations, neglecting their ability to effectively use and adopt emerging technologies. By revealing the gap between China's innovation capacity and diffusion capacity, this paper argues that innovation-centric assessments mistakenly inflate China's S&T power.” NYC ChinaTalk Meetup: https://partiful.com/e/taNb35oaCKjglbHHdEA1 Cohosting is Teddy Collins, formerly of the White House Office of Science and Technology Policy and DeepMind. Outtro music: https://www.youtube.com/watch?v=17Y7-gm8STI midjourney prompt: "frank quietly industrial revolution" Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of BRAVE, Jeremy Au reflects on deep learning breakthroughs' timeline, AI's impact on military technology and the increased incentives for more AI engineer training, funding and integration, based on a ChinAI article written by Jeffrey Ding. “AI is going to accelerate the military-industrial complex. It's not just good for the economy or academics, but also for national security. That's going to be a very interesting fusion. There may also be multiple attempts by states to build out those AI hubs over a 20 to 30-year timeframe, so we might see more subsidies, education, advocacy and championing for folks to learn AI.” - Jeremy Au Read the transcript here at Read the transcript here at www.bravesea.com/blog/ai-electricity-adoption WhatsApp Daily Insight: https://chat.whatsapp.com/CeL3ywi7yOWFd8HTo6yzde Spotify: https://open.spotify.com/show/4TnqkaWpTT181lMA8xNu0T Youtube: https://www.youtube.com/@JeremyAu/featured Apple Podcasts: https://podcasts.apple.com/sg/podcast/brave-southeast-asia-tech-singapore-indonesia-vietnam/id1506890464 Tiktok: https://www.tiktok.com/@jeremyau?lang=en Instagram: https://www.instagram.com/jeremyauz/ Twitter: https://twitter.com/jeremyau Visit our community at: www.bravesea.com

Advanced AI is currently pretty much a duopoly between the USA and China. The US is the clear leader, thanks largely to its tech giants – Google, Meta, Microsoft, Amazon, and Apple. China also has a fistful of tech giants – Baidu, Alibaba, and Tencent are the ones usually listed, but the Chinese government has also taken a strong interest in AI since Deep Mind's Alpha Go system beat the world's best Go player in 2016.People in the West don't know enough about China's current and future role in AI. Some think its companies just copy their Western counterparts, while others think it is an implacable and increasingly dangerous enemy, run by a dictator who cares nothing for his people. Both those views are wrong.One person who has been trying to provide a more accurate picture of China and AI in recent years is Jeff Ding, the author of the influential newsletter ChinAI.Jeff grew up in Iowa City and is now an Assistant Professor of Political Science at George Washington University. He earned a PhD at Oxford University, where he was a Rhodes Scholar, and wrote his thesis on how past technological revolutions influenced the rise and fall of great powers, with implications for U.S.-China competition. After gaining his doctorate he worked at Oxford's Future of Humanity Institute and Stanford's Institute for Human-Centered Artificial Intelligence.Selected follow-up reading:https://jeffreyjding.github.io/https://chinai.substack.com/https://www.tortoisemedia.com/intelligence/global-ai/Topics in this conversation include:*) The Thucydides Trap: Is conflict inevitable as a rising geopolitical power approaches parity with an established power?*) Different ways of trying to assess how China's AI industry compares with that of the U.S.*) Measuring innovations in creating AI is different from measuring adoption of AI solutions across multiple industries*) Comparisons of papers submitted to AI conferences such as NeurIPS, citations, patents granted, and the number of data scientists*) The biggest misconceptions westerners have about China and AI*) A way in which Europe could still be an important player alongside the duopoly*) Attitudes in China toward data privacy and facial recognition*) Government focus on AI can be counterproductive*) Varieties of government industrial policy: the merits of encouraging decentralised innovation*) The Titanic and the origin of Silicon Valley*) Mariana Mazzucato's question: "Who created the iPhone?"*) Learning from the failure of Japan's 5th Generation Computers initiative*) The evolution of China's Social Credit systems*) Research by Shazeda Ahmed and Jeremy Daum*) Factors encouraging and discouraging the "splinternet" separation of US and Chinese tech ecosystems*) Connections that typically happen outside of the public eye*) Financial interdependencies*) Changing Chinese government attitudes toward Chinese Internet giants*) A broader tension faced by the Chinese government*) Future scenarios: potential good and bad developments*) Transnational projects to prevent accidents or unauthorised use of powerful AI systemsMusic: Spike Protein, by Koi Discovery, available under CC0 1.0 Public Domain Declaration

My personal favourite place in China! How about yours?Transcript and translation are available on https://maomichinese.comInterested in having a private lesson? Check it on https://maomichinese.com

Jeffrey Ding is a doctoral candidate and Rhodes Scholar at the University of Oxford, where he also works as the China Lead for the Centre for the Governance of AI. He's one of the foremost English language commentators on AI in China and is the writer of the brilliant ChinAI newsletter, which is an invaluable guide to the topic. In this conversation we discuss recent developments in Chinese AI, including talent, funding and technical breakthroughs, as well as looking at Jeff's academic work on how governments should think about strategic technologies. -----------------Thanks to Cofruition for consulting on and producing the show. You can learn more about Entrepreneur First at www.joinef.com and subscribe to my weekly newsletter at tib.matthewclifford.com

In this episode of Forward Thinking, host Michael Chui speaks with Jeffrey Ding, researcher and founder of the ChinAI newsletter, about information asymmetry in artificial intelligence between China and the West. They cover why data may not be like oil, the Chinese industry adage on products, platforms, and standards, “unsexy AI” and more. There's a lot of talk right now about artificial intelligence, or AI, and what it means for global competition. Today's conversation features somebody you probably don't know yet but probably should. He's famous in certain corners of the internet but his work, it turns out, is relevant everywhere. MGI research suggests that while there's AI happening all around the world, there are two places where the most AI development is taking place, and it's the US and China. What's interesting about that is that while a lot of the Chinese AI developers are reading and even coauthoring English-language papers, very few Western AI practitioners are able to keep up with the flow of information in the Chinese language, even when a lot of it is published openly. It's almost like a one-way mirror—and this asymmetry might seem strange in a field where a lot of the work is openly available on the internet. But our guest, Jeffrey Ding, has been helping to make sure more AI information flows back from China to the West. This episode's guest, Jeffrey Ding, is a PhD Candidate in international relations at the University of Oxford and a pre-doctoral fellow at Stanford's Center for International Security and Cooperation, sponsored by Stanford's Institute for Human-Centered Artificial Intelligence. He is also a research affiliate with the Centre for the Governance of AI at the University of Oxford. This conversation was recorded in March 2021. To read a transcript of this episode, visit: https://mck.co/forwardthinking Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more.See www.mckinsey.com/privacy-policy for privacy information

In this episode of Forward Thinking, host Michael Chui speaks with Jeffrey Ding, researcher and founder of the ChinAI newsletter, about information asymmetry in artificial intelligence between China and the West. They cover why data may not be like oil, the Chinese industry adage on products, platforms, and standards, “unsexy AI” and more. There's a lot of talk right now about artificial intelligence, or AI, and what it means for global competition. Today's conversation features somebody you probably don't know yet but probably should. He's famous in certain corners of the internet but his work, it turns out, is relevant everywhere. MGI research suggests that while there's AI happening all around the world, there are two places where the most AI development is taking place, and it's the US and China. What's interesting about that is that while a lot of the Chinese AI developers are reading and even coauthoring English-language papers, very few Western AI practitioners are able to keep up with the flow of information in the Chinese language, even when a lot of it is published openly. It's almost like a one-way mirror—and this asymmetry might seem strange in a field where a lot of the work is openly available on the internet. But our guest, Jeffrey Ding, has been helping to make sure more AI information flows back from China to the West. This episode's guest, Jeffrey Ding, is a PhD Candidate in international relations at the University of Oxford and a pre-doctoral fellow at Stanford's Center for International Security and Cooperation, sponsored by Stanford's Institute for Human-Centered Artificial Intelligence. He is also a research affiliate with the Centre for the Governance of AI at the University of Oxford. This conversation was recorded in March 2021. To read a transcript of this episode, visit: https://mck.co/forwardthinking Follow @McKinsey_MGI on Twitter and the McKinsey Global Institute on LinkedIn for more. Read more > Listen to the podcast (duration: 32:17) >

In this episode, senior editor Jason Wincuinas speaks to Jeffrey Ding, a Rhodes Scholar at the University of Oxford and the China lead at “The Centre for the Governance of AI”, which is part of the Future of Humanity Institute, and founder of "ChinAI". See acast.com/privacy for privacy and opt-out information.

In the realm of AI governance, China is an indispensable nation. In this talk, Jeffrey Ding, a D.Phil researcher for the Governance of AI at the Future of Humanity Institute, distills his opinions on the landscape of AI development in China. He draws mainly from 70+ issues of his ChinAI newsletter, which features weekly translations … Continue reading EAG London 2019: Deciphering China’s AI dream (Jeffrey Ding)

Today I'm talking about the hassles I had with the insurance company with my car, also My Trip away and how important communities are in our lives in the modern world.ChinaI travelled China Dec 2019 - I was only there for 3 days as a stop over. I went to Guangzhou and travelled to Shenzhen and back to Guangzhou again. The subway system is amazing and simple to use even for a dyslexic person who struggles to read and write. The people keep to themselves, however if you need a hand for directions they're always willing to help. The cities are amazing, unreal buildings, the street food, the culture was all very exciting for me, I loved it and I want to go back. See Photos on FacebookBangladeshI travelled Bangladesh Dec 2019 - it's very hard country to travel nightmare buses and second class trains, it was a real adventure the people make the country amazing, it was hard, never a dull moment it was always dirty, but I always felt safe and I when into some off the beaten tracks, I walked around some scody places to get some good shots. I kid you not I was there 10 days and NEVER met another tourist. See Photos on FacebookIndiaI have travelled India twice the 1st time was back in 1999 and said I would never come back, however it was the country I wanted to visit again the most so in 2020 I came back for another go. This time with a 20MB Sony A6000 Camera, last time had the good old Sony Cyber-shot DSC-F717 with the Carl Zeiss lens. See Photos on Facebook

Welcome to the third episode of the ChinAI podcast, hosted by Jeff Ding. Our guest today is Valentin Weber, a DPhil Candidate in Cyber Security at the Centre for Doctoral Training in Cyber Security, University of Oxford. He joins the ChinAI Pod to discuss his latest report, “The Worldwide Web of Chinese and Russian Information Controls,” supported by the Open Technology Fund. It presents a typology of information controls (ranging from propaganda to surveillance), compares Chinese and Russian models of information control, and analyzes the possible causes and impacts of the expanding reach of Chinese and Russian information controls. Valentin’s findings are based on his own meticulous sourcing as well as his painstaking synthesis of secondary sources, documenting the diffusion of Chinese and Russian information controls to over 100 countries over the course of thirteen years. More broadly, Valentin is interested in how the cyber domain is changing conflicts and state strategies. His current research focuses on the integration of cyber and grand strategy, as well as on the role of information controls in state strategies. He previously worked for the International Security Department at Chatham House. *****Timestamps: Briefing Checklist (0:43); Debate the Guest (16:00); Footnote Fever (42:40); Trust the Process (51:45) Get full access to ChinAI Newsletter at chinai.substack.com/subscribe

Welcome to the second episode of the ChinAI podcast, hosted by Jeff Ding. Our guest today is Eric Drexler, a senior research fellow at the Future of Humanity Institute. He joins the ChinAI podcast to discuss the latest FHI technical report “Reframing Superintelligence: Comprehensive AI Services as General Intelligence.”  In contrast to conventional views of superintelligence as an agent with unbounded capabilities across multiple domains, Eric reframes superintelligence as embodied within a bounded framework of Comprehensive AI Services (CAIS). We discuss how this alternative model may lessen some of the classic risks associated with artificial general intelligence (e.g. the paperclip maximizer) but also bring under-explored risks to the fore (e.g. supercharged addiction). Often described as the founding father of nanotechnology, he provides a unique perspective on the pathway to superintelligence — one of an extremely perceptive systems engineer. We also examine a perspective on superintelligence from a prominent Chinese philosopher.*****Timestamps: Briefing Checklist (1:00); Debate the Guest (20:00); Footnote Fever (31:00); Trust the Process (37:50) Get full access to ChinAI Newsletter at chinai.substack.com/subscribe

Welcome to the first episode of the ChinAI podcast, hosted by Jeff Ding. There’s a lot of great podcasts out there that get interesting people to talk about their latest work on either the surface or the euphotic zone layer (the layer of the ocean where sunlight still penetrates); the ChinAI podcast seeks to dive into the deepest layers of a guest’s work — whether that be a new report, paper, epic poem, etc. Just like how other podcasts in different domains are structured around the guest’s newest movie or latest book, this pod will feature engagement with a guest anchored to a specific piece of text, which Jeff will have actually read in its entirety, including all the footnotes and other relevant literature. Each episode consists of four sections:The Briefing Checklist (BCL): The main takeaways from the piece, with the expectation that this is a five-minute brief for a high-level principalDebate the Guest (DTG): Too many podcasts consist of everyone saying “Yes, I agree…and now here’s my somewhat related point.” In contrast, Jeff will say, “This is a specific claim in your report that I want to directly rebut…” and we’ll use that as a starting point for further debate.Footnote Fever: Jeff and the guest share their favorite footnotes in the report, investigate the underlying assumptions/indicators behind the main findings, and explore the surrounding literature which influenced the work.Trust the Process (TTP): Some of my favorite podcasts are ones where we get an inside-view at the process behind someone’s work (e.g. how a movie director finds the perfect location for the scene, how a soccer coach plans tactics). In this section, we want to unpack the research process, which includes how a guest’s personal story ties into their work.Our inaugural guest is Remco Zwetsloot, a Research Fellow at Georgetown’s Center for Security and Emerging Technology. His writing on the security dimensions of artificial intelligence has appeared in Foreign Affairs, Lawfare and other publications. He is also a Research Affiliate and Ph.D. (D.Phil.) candidate at the University of Oxford’s Center for the Governance of AI. He has previously worked at OpenAI and holds degrees from Yale University (M.Phil., Political Science), the University of Oxford (M.Phil., International Relations) and University College Roosevelt (B.A., Social Science). Follow him @r_zwetsloot*****Timestamps: Briefing Checklist (3:45); Debate the Guest (11:25); Footnote Fever (35:00); Trust the Process (46:15) He joins the ChinAI podcast to discuss “Strengthening the U.S. AI Workforce: A Policy and Research Agenda” a Center for Security and Emerging Technology publication he wrote with the help of Roxanne Heston and Zachary Arnold. The report argues: A prolonged talent shortage could undermine U.S. strength in artificial intelligence, and current immigration policies place the country's AI talent advantage at risk. It lays out what is currently known about domestic and global AI talent, identifies priorities for U.S. policymakers and describes policy-relevant knowledge gaps that researchers should fill. Get full access to ChinAI Newsletter at chinai.substack.com/subscribe

The queen of Indian pop music, Alisha Chinai, talks to DESIblitz about her career and crossing over to mainstream music.

Today on the show we are joined by Jeffrey Ding, creator of the ChinAI newsletter. He is here to tell us all about his work in the AI field and his focus on translating the developments from China to a more western audience. We start off by talking about the reasons why he started his newsletter, namely that the AI community in China are mostly abreast of advancements from the US and UK, while the same cannot be said in the opposite direction. This language asymmetry, as Jeffrey calls it, means there is a gap in the knowledge base in the Americas and Europe around the burgeoning Chinese AI scene. Jeffrey answers a host of questions around rumors and myths related to China's forays into AI and unpacks some of the key concepts including semiconductors, the facial recognition field, data labelling and data leakage. He brings into contrast many common ideas that misrepresent the state of technology and its motivating factors in China and does a great job of clarifying important touch points such as privacy and government policy. For this fascinating chat, be sure to tune in!

Today on the show we are joined by Jeffrey Ding, creator of the ChinAI newsletter. He is here to tell us all about his work in the AI field and his focus on translating the developments from China to a more western audience. We start off by talking about the reasons why he started his newsletter, namely that the AI community in China are mostly abreast of advancements from the US and UK, while the same cannot be said in the opposite direction. This language asymmetry, as Jeffrey calls it, means there is a gap in the knowledge base in the Americas and Europe around the burgeoning Chinese AI scene. Jeffrey answers a host of questions around rumors and myths related to China’s forays into AI and unpacks some of the key concepts including semiconductors, the facial recognition field, data labelling and data leakage. He brings into contrast many common ideas that misrepresent the state of technology and its motivating factors in China and does a great job of clarifying important touch points such as privacy and government policy. For this fascinating chat, be sure to tune in!

With the number of English speakers around the world, it's no surprise that Chinese AI experts and engineers are keeping up with developments across the Pacific. However, the same is not true when it comes to the Chinese language. Indeed, Andrew Ng, former Chief Scientist at Baidu and co-founder of Coursera, made this exact point years ago when interviewed about China's AI progress. Jeffrey Ding, China lead for the Center for the Governance of AI, is trying to change that information asymmetry with his ChinAI newsletter featuring translations of Chinese thought leadership in AI. Links ChinAI newsletter How I learned to stop worrying and love surveillance capitalism 62: AI Superpowers with Kai-Fu Lee TechNode Podcast Network Guest Jeffrey Ding, @jjding99 Hosts John Artman, @knowsnothing, TechNode Matthew Brennan, @MattyBGoooner, ChinaChannel Producer Peter Isachenko Podcast information iTunes Spotify RSS feed Music: "Theme from Penguins on Parade" by Lee Rosevere, Music for Podcasts 3

This week, the Sinica Podcast network adds another show: ChinaEconTalk, hosted by Jordan Schneider. In this crossover on Sinica, Jordan discusses "China's Grand AI Ambitions" with Rhodes scholar Jeff Ding. Jeff Ding breaks down how China stacks up to the rest of the world in the race to develop AI. He delves into the connections between Chinese tech companies and government AI targets, AI’s military implications, as well as the ethical considerations of AI applications in China’s police state. Jeff also discusses his recent paper “Deciphering China’s AI Dream,” as well as recent articles on AI he has translated from Chinese media on his ChinAI newsletter. Subscribe to ChinaEconTalk on iTunes, Overcast, Stitcher, or by plugging the RSS feed straight into your podcast reader.

Rhodes Scholar Jeff Ding breaks down how China stacks up to the rest of the world in the race to develop AI. He delves into the connections between Chinese tech companies and government AI targets, AI’s military implications, as well as the ethical considerations of AI applications in China’s police state. We discuss his recent paper “Deciphering China’s AI Dream” as well as recent articles on AI he has translated from Chinese media on his ChinAI newsletter.

Rhodes Scholar Jeff Ding breaks down how China stacks up to the rest of the world in the race to develop AI. He delves into the connections between Chinese tech companies and government AI targets, AI's military implications, as well as the ethical considerations of AI applications in China's police state. We discuss his recent paper “Deciphering China's AI Dream” as well as recent articles on AI he has translated from Chinese media on his ChinAI newsletter. Get bonus content on Patreon See acast.com/privacy for privacy and opt-out information.

1. Noregular conversation 常规对话If you were asking me to do something, or asking me if I would like something, I would like to find a more polite way to say "no thanks". 表示询问或请求的话，no thanks更好一点。2. Nopehanging out a friend 约朋友出去It's a less formal way of saying no. 之前Yes那期节目讲过，yes可以说成yep，所以no在这里也可以说成nope，用于非正式场合。3. No wayNo way is a very direct way of saying No. It would take a bold person to ask again after receiving this response. 比较直接的方式，相当于中文的“没门儿” 。Some people enjoy being assertive but others would never feel comfortable saying No Way. (assertive 观点明确的) Instead they might say, I'm not sure and you may notice a change in their body language or the way they are relating to you. Actions speak louder than words. 行动比语言更有力量。4. No way, José 注意José的发音哦 /hou'zei/José is a common boy's name in Spanish. This is fun saying because it rhymes. José是个很普遍的西班牙人名，同时也是因为比较有趣而且押韵。5. NegativeIf you are speaking over a radio or walkie-talkie, you could say negative. (walkie-talkie 手提无线电话机)在无线电通话中，用“negative”或者"affirmative"比单纯的"no"或者"yes"更清楚。6. Uh-uhIf you are relaxing on the couch, watching TV and someone ask you a question, and you won't get the whole conversation, you might just say uh-uh. It is the opposite of un-huh.它是个语气词，肯定说法是Uh-huh。7.That's out of the question. If you know something won't happen, then you can say "Out of the question." This is a very direct answer.这是一个很直接的说法，翻译为“不考虑”、“不可以”。Many Westerners prefer to be indirect too and a lot of people have a hard time saying no, but if we say yes to everything it causes problems, so we have to find a way. If I feel uncomfortable saying no I might say, sorry. This is less direct. 8. SorryCanadians are famous for always saying sorry. 译成“抱歉”、“不好意思”，听起来比较客气、委婉。9. Not in a million years译成“绝不可能”，很绝对的说法。I wouldn't say this if you asked me a favor but if you said would you go skydiving with me?I'm scared of heights. 我恐高。10. Over my dead body.放狠话，也是很绝对的说法。11. Thumbs downThumbs down 反对; Thumbs up 赞成12. Not for all the tea in ChinaI heard it came from the British living in Australia. That means no matter how much you give them, they will still refuse. 这个表达已经很久没有用了。Charity-lee 推荐使用：no thanks, nope, uh-uh, no way José. No is an important word to learn. It helps us protect ourselves and our families and it also helps people understand our preferences.

1. Noregular conversation 常规对话If you were asking me to do something, or asking me if I would like something, I would like to find a more polite way to say "no thanks". 表示询问或请求的话，no thanks更好一点。2. Nopehanging out a friend 约朋友出去It's a less formal way of saying no. 之前Yes那期节目讲过，yes可以说成yep，所以no在这里也可以说成nope，用于非正式场合。3. No wayNo way is a very direct way of saying No. It would take a bold person to ask again after receiving this response. 比较直接的方式，相当于中文的“没门儿” 。Some people enjoy being assertive but others would never feel comfortable saying No Way. (assertive 观点明确的) Instead they might say, I'm not sure and you may notice a change in their body language or the way they are relating to you. Actions speak louder than words. 行动比语言更有力量。4. No way, José 注意José的发音哦 /hou’zei/José is a common boy's name in Spanish. This is fun saying because it rhymes. José是个很普遍的西班牙人名，同时也是因为比较有趣而且押韵。5. NegativeIf you are speaking over a radio or walkie-talkie, you could say negative. (walkie-talkie 手提无线电话机)在无线电通话中，用“negative”或者"affirmative"比单纯的"no"或者"yes"更清楚。6. Uh-uhIf you are relaxing on the couch, watching TV and someone ask you a question, and you won't get the whole conversation, you might just say uh-uh. It is the opposite of un-huh.它是个语气词，肯定说法是Uh-huh。7.That's out of the question. If you know something won't happen, then you can say "Out of the question." This is a very direct answer.这是一个很直接的说法，翻译为“不考虑”、“不可以”。Many Westerners prefer to be indirect too and a lot of people have a hard time saying no, but if we say yes to everything it causes problems, so we have to find a way. If I feel uncomfortable saying no I might say, sorry. This is less direct. 8. SorryCanadians are famous for always saying sorry. 译成“抱歉”、“不好意思”，听起来比较客气、委婉。9. Not in a million years译成“绝不可能”，很绝对的说法。I wouldn't say this if you asked me a favor but if you said would you go skydiving with me?I'm scared of heights. 我恐高。10. Over my dead body.放狠话，也是很绝对的说法。11. Thumbs downThumbs down 反对; Thumbs up 赞成12. Not for all the tea in ChinaI heard it came from the British living in Australia. That means no matter how much you give them, they will still refuse. 这个表达已经很久没有用了。Charity-lee 推荐使用：no thanks, nope, uh-uh, no way José. No is an important word to learn. It helps us protect ourselves and our families and it also helps people understand our preferences.