Podcasts about Wang

Hey CX Nation,In this week's episode of The CXChronicles Podcast #278, we welcomed Ryan Wang, Co-Founder & CEO of Assembled based in San Francisco, CA.Industry leaders like Etsy, Robinhood, and Stripe trust Assembled to provide customer-facing AI agents and workforce planning at scale. Assembled automatically resolves millions of interactions through chat, email, and phone while optimizing staffing for hundreds of thousands of support professionals. Their mission is to elevate customer support through AI-powered software that makes life easier for customers and employees.In this episode, Ryan and Adrian chat through the Four CX Pillars: Team, Tools, Process & Feedback. Plus share some of the ideas that his team think through on a daily basis to build world class customer experiences.**Episode #278 Highlight Reel:**1. Building a high-performing team in the AI age 2. Shift towards AI-driven skill sets in the workforce 3. Creating a culture of continuous learning  4. Focusing on customer feedback early & often 5. Keeping your team lean & flexible as you scale Click here to learn more about Ryan WangClick here to learn more about AssembledHuge thanks to Ryan for coming on The CXChronicles Podcast and featuring his work and efforts in pushing the customer experience & contact center space into the future. For all of our Apple & Spotify podcast listener friends, make sure you are following CXC & please leave a 5 star review so we can find new members of the "CX Nation". You know what would be even better?Go tell your friends or teammates about CXC's custom content, strategic partner solutions (Hubspot, Intercom, & Freshworks) & On-Demand services & invite them to join the CX Nation, a community of 15K+ customer focused business leaders!Want to see how your customer experience compares to the world's top-performing customer focused companies? Thanks to all of you for being apart of the "CX Nation" and helping customer focused business leaders across the world make happiness a habit!Reach Out To CXC Today!Support the showContact CXChronicles Today Tweet us @cxchronicles Check out our Instagram @cxchronicles Click here to checkout the CXC website Email us at info@cxchronicles.com Remember To Make Happiness A Habit!!

Thanks for tuning in. Renew Church OC is a church for imperfect people only. Come visit us at: 1 Civic Center Cir Brea, CA 92821 | Renew Has 2 Main Service Times: 9AM and 10:45AM 9AM: Children, Youth and Main Service 10:45: Main Service, Sunday School and Childcare | For more information: www.renewchurchoc.com | For tax deductible giving to Renew: Www.renewchurchoc.com/give | For more resources: | Roy Kim developed a video series to help Sexual Addiction Sobriety Groups. www.newlegacycounseling.com/self-guided…iety-group/ | Roy and I host a 3 part series on Sexual Addiction in our podcast. Here is the first one; I would love to have you listen and give us some feedback. podcasts.apple.com/us/podcast/the-…i=1000610037470 | Pastor Wilson and Roy Kim MFT podcast podcasts.apple.com/us/podcast/the-…i=1000578749653 | Pastor Wilson and Nina's children's books series and adulting journal www.calledtobeproject.com

Fluent Fiction - Mandarin Chinese: Ascending Taishan: A Journey of Courage and Legacy Find the full episode transcript, vocabulary words, and more:fluentfiction.com/zh/episode/2026-02-23-23-34-02-zh Story Transcript:Zh: 年终的泰山，白雪皑皑，风如刀割。En: At the end of the year on Taishan, the snow was glistening white, and the wind cut like a knife.Zh: 路上的积雪在太阳的映照下闪闪发光。En: The snow on the road sparkled under the sunlight.Zh: 杰，一个年轻的学生，站在山脚下，深深吸了一口冰冷的空气。En: Jie, a young student, stood at the foot of the mountain, taking a deep breath of the icy air.Zh: 他抬头看着要征服的高峰，心中既有期待也有恐惧。En: He looked up at the peak he was about to conquer, feeling both anticipation and fear in his heart.Zh: 每年的元宵节，杰都会和奶奶一起在泰山顶上放灯笼。En: Every year during the Lantern Festival, Jie would light a lantern on top of Taishan with his grandmother.Zh: 这是家族的传统，是为了纪念过世的亲人。En: It was a family tradition to commemorate departed relatives.Zh: 去年，奶奶永远地离开了。En: Last year, his grandmother passed away forever.Zh: 这次，他要一个人完成这个任务。En: This time, he had to complete this task alone.Zh: 他知道，这不仅是向奶奶，也是向他自己证明勇气与坚韧的旅程。En: He knew it was a journey to prove courage and resilience not only to his grandmother but also to himself.Zh: 然而，杰怕高，一想到在高处可能失去的平衡，他的脚便不自觉地发抖。En: However, Jie was afraid of heights, and the thought of losing his balance at high altitudes made his feet tremble involuntarily.Zh: 李娜与王是他的同学，也是他的好朋友。En: Lina and Wang were his classmates and good friends.Zh: 他们都答应陪他一起，却因为学校的事情没能来。En: They had promised to accompany him, but due to school matters, they couldn't come.Zh: 杰知道这次他必须一个人完成。En: Jie knew he had to do it alone this time.Zh: 他背上他的旧背包，里面装着一个红色的灯笼和一盒火柴，为了在山顶上怀念奶奶。En: He strapped on his old backpack, which contained a red lantern and a box of matches, to commemorate his grandmother at the mountain top.Zh: 一开始，路非常平坦，杰走得很轻松。En: Initially, the road was very flat, and Jie walked easily.Zh: 但没过多久，山路开始变陡，到处都是冰滑的地方。En: But it wasn't long before the mountain path became steep, with slippery icy spots everywhere.Zh: 他小心翼翼地迈出每一步，手指紧紧握住铁链，心跳得如同擂鼓。En: He carefully took each step, his fingers tightly gripping the iron chain, his heart pounding like a drum.Zh: 他头一次感觉到无助的恐惧，但他没有退却。En: For the first time, he felt helpless fear, but he didn't retreat.Zh: 他心中只有一个念头：到山顶，把灯笼放飞。En: He had only one thought in his mind: reach the top and let the lantern fly.Zh: 走到半山腰，杰停下来休息，想起奶奶温暖的笑容。En: Halfway up the mountain, Jie stopped to rest and recalled his grandmother's warm smile.Zh: 他心中一阵温暖，决定继续前行。En: A wave of warmth surged in his heart, and he decided to keep going.Zh: 风再次变得猛烈，路面更加难行。En: The wind grew fierce once more, making the path even harder to navigate.Zh: 前方的一个转弯，风把积雪吹得模糊了路。En: At a turn ahead, the wind blew the snow, obscuring the road.Zh: 这个险要的地方让杰犹豫不决。En: This treacherous spot made Jie hesitant.Zh: 他想过放弃，想过回头，但转念一想，这是为了奶奶，他的脚步坚定了。En: He thought about giving up, about turning back, but then he remembered it was for his grandmother, and his steps became firm again.Zh: 不知过了多久，杰终于看到了山顶的石碑。En: After what seemed like ages, Jie finally saw the stone monument at the mountain's summit.Zh: 他的心灵一阵激动，眼泪也随之流下。En: His spirit surged with excitement, and tears began to flow.Zh: 他小心翼翼地在广场上找到了一个风稍微小一点的地方，把灯笼取出，点燃，轻声祈祷。En: He cautiously found a spot in the square where the wind was slightly less strong, took out the lantern, and lit it, whispering a prayer.Zh: 他闭上眼睛，仿佛看见奶奶就在旁边微笑。En: He closed his eyes, as if he could see his grandmother smiling beside him.Zh: 灯笼在夜空中飘得越来越高，像一个微小的星星。En: The lantern floated higher and higher into the night sky, like a tiny star.Zh: 杰的心中充满了平静和满足。En: Jie felt a deep sense of peace and fulfillment in his heart.Zh: 他明白，自己不仅完成了家族的传统，更突破了自己的恐惧。En: He realized that he had not only fulfilled a family tradition but also overcome his fears.Zh: 从这个夜晚起，杰变得更加自信。En: From that night on, Jie became more confident.Zh: 他知道，奶奶一直在他的心中。En: He knew his grandmother was always in his heart.Zh: 无论任何挑战，他都有勇气去面对。En: No matter what challenges he faced, he would have the courage to confront them.Zh: 回程的路，尽管依然艰难，但杰走得更加坚定。En: On the return journey, though still difficult, Jie walked with greater determination.Zh: 泰山下，依旧白雪覆盖，但他的心中却是温暖如春的。En: The base of Taishan remained covered in snow, but his heart was warm like spring.Zh: 元宵的灯火照亮了路，也照亮了他的心。En: The lantern light of Lantern Festival illuminated the path and his heart.Zh: 杰知道，这次的旅程，已经不再仅仅是为了纪念，而是他对自己和亲人的一种追忆和承诺。En: Jie realized that this journey was no longer just a commemoration, but a remembrance and promise to himself and his loved ones. Vocabulary Words:glistening: 闪闪发光anticipation: 期待commemorate: 纪念departed: 离开resilience: 坚韧involuntarily: 不自觉地tremble: 发抖strapped: 背上slippery: 冰滑的gripping: 握住retreat: 退却helpless: 无助的treacherous: 险要的summit: 山顶excitement: 激动fulfillment: 满足navigate: 前行obscuring: 模糊determination: 坚定monument: 石碑involuntarily: 不自觉地confront: 面对fulfill: 完成ignite: 点燃prayer: 祈祷surged: 涌overcome: 突破hesitant: 犹豫promise: 承诺conquer: 征服

The Dad Bros watched the Super Bowl. The Minnesota immigration crackdown winds down. The FAA haulted flights in El Passo for 10 days but ended it in hours. An autistic woman caught in the middle of Minnesota fraud crisis. Josh and Jon learn about Peyronie’s disease and Xiaflex. Drink of the Show: Mic Drop Rye Whiskey SHOW LINKS Bad Bunny Reaction Homan Leaves Minnesota El Paso Flights Grounded 10 Days Women Evicted During  XIAFLEX Commercial For Bent Wang’s Guthrie Kidnapping a Commercial? Secret Link Visit DadBros.com Follow the Dad Bros Show on Instagram, Facebook & Twitter Contact the Dad Bros: 1-844-DadTalk or Email Us Patreon Special thanks to: @LadyMpire & Beer Man Mark The post Ep 644 – Bent Wang appeared first on Dad Bros.

In this episode, Ty Wang, Co-Founder and Chief Executive Officer at Angle Health, shares how his team is rethinking health plan infrastructure to move beyond transactional payer provider relationships. He discusses modernizing operations with AI, improving transparency for employers and brokers, and aligning incentives around outcomes, affordability, and member experience.

Hello again Fight Fam!Today we are going back to the nations capital OTTAWA - as a matter of fact, back to the Muay Thai Canada gym o' the year, Westside Muay Thai with retired professional fighter and now coach - Nick Wang! I have got to know the crew over at Westside over the last few years, so I wanted to actually sit and talk to Nick outside of events. We talk about the growth of the gym, one of the best Muay Thai promotions in the Country - Capital Punishment! as well as Nick's fight career in and outside of North America. We also went back and fourth on some topics that have been on my mind the last little bit 1 - do calf kicks ruin good fights?2 - is the rise to the top of the sport too accessible in todays Muay Thai?Nick is a thinking man as well as a Muay Thai man, so I thought it was a good time to bring this up, AND I'M GLAD I DID!! of course I also ask Nick his top 3, but catch him a little off guard asking first - who are your favourite Canadian fighters lolI am a big fan of Westside Muay Thai, Capital Punishment and one of the men helping MAKE IT HAPPEN over there - SHOUT OUT TO YOU NICK!

In this episode, Ty Wang, Co-Founder and Chief Executive Officer at Angle Health, shares how his team is rethinking health plan infrastructure to move beyond transactional payer provider relationships. He discusses modernizing operations with AI, improving transparency for employers and brokers, and aligning incentives around outcomes, affordability, and member experience.

Spiritual journaling + how it can help us reflect during Lent

Is academic dishonesty connected to political power in China? That question is explored in a new paper from Shaoda Wang, Assistant Professor at the University of Chicago Harris School of Public Policy. Wang and his co-authors explore how plagiarism detection in graduate dissertations is connected to patterns of cheating in career paths and institutional behavior. What lessons might this hold for politics, meritocracy, and institutional performance elsewhere? Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Tickets for AIEi Miami and AIE Europe are live, with first wave speakers announced!From pioneering software-defined networking to backing many of the most aggressive AI model companies of this cycle, Martin Casado and Sarah Wang sit at the center of the capital, compute, and talent arms race reshaping the tech industry. As partners at a16z investing across infrastructure and growth, they've watched venture and growth blur, model labs turn dollars into capability at unprecedented speed, and startups raise nine-figure rounds before monetization.Martin and Sarah join us to unpack the new financing playbook for AI: why today's rounds are really compute contracts in disguise, how the “raise → train → ship → raise bigger” flywheel works, and whether foundation model companies can outspend the entire app ecosystem built on top of them. They also share what's underhyped (boring enterprise software), what's overheated (talent wars and compensation spirals), and the two radically different futures they see for AI's market structure.We discuss:* Martin's “two futures” fork: infinite fragmentation and new software categories vs. a small oligopoly of general models that consume everything above them* The capital flywheel: how model labs translate funding directly into capability gains, then into revenue growth measured in weeks, not years* Why venture and growth have merged: $100M–$1B hybrid rounds, strategic investors, compute negotiations, and complex deal structures* The AGI vs. product tension: allocating scarce GPUs between long-term research and near-term revenue flywheels* Whether frontier labs can out-raise and outspend the entire app ecosystem built on top of their APIs* Why today's talent wars ($10M+ comp packages, $B acqui-hires) are breaking early-stage founder math* Cursor as a case study: building up from the app layer while training down into your own models* Why “boring” enterprise software may be the most underinvested opportunity in the AI mania* Hardware and robotics: why the ChatGPT moment hasn't yet arrived for robots and what would need to change* World Labs and generative 3D: bringing the marginal cost of 3D scene creation down by orders of magnitude* Why public AI discourse is often wildly disconnected from boardroom reality and how founders should navigate the noiseShow Notes:* “Where Value Will Accrue in AI: Martin Casado & Sarah Wang” - a16z show* “Jack Altman & Martin Casado on the Future of Venture Capital”* World Labs—Martin Casado• LinkedIn: https://www.linkedin.com/in/martincasado/• X: https://x.com/martin_casadoSarah Wang• LinkedIn: https://www.linkedin.com/in/sarah-wang-59b96a7• X: https://x.com/sarahdingwanga16z• https://a16z.com/Timestamps00:00:00 – Intro: Live from a16z00:01:20 – The New AI Funding Model: Venture + Growth Collide00:03:19 – Circular Funding, Demand & “No Dark GPUs”00:05:24 – Infrastructure vs Apps: The Lines Blur00:06:24 – The Capital Flywheel: Raise → Train → Ship → Raise Bigger00:09:39 – Can Frontier Labs Outspend the Entire App Ecosystem?00:11:24 – Character AI & The AGI vs Product Dilemma00:14:39 – Talent Wars, $10M Engineers & Founder Anxiety00:17:33 – What's Underinvested? The Case for “Boring” Software00:19:29 – Robotics, Hardware & Why It's Hard to Win00:22:42 – Custom ASICs & The $1B Training Run Economics00:24:23 – American Dynamism, Geography & AI Power Centers00:26:48 – How AI Is Changing the Investor Workflow (Claude Cowork)00:29:12 – Two Futures of AI: Infinite Expansion or Oligopoly?00:32:48 – If You Can Raise More Than Your Ecosystem, You Win00:34:27 – Are All Tasks AGI-Complete? Coding as the Test Case00:38:55 – Cursor & The Power of the App Layer00:44:05 – World Labs, Spatial Intelligence & 3D Foundation Models00:47:20 – Thinking Machines, Founder Drama & Media Narratives00:52:30 – Where Long-Term Power Accrues in the AI StackTranscriptLatent.Space - Inside AI's $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z[00:00:00] Welcome to Latent Space (Live from a16z) + Meet the Guests[00:00:00] Alessio: Hey everyone. Welcome to the Latent Space podcast, live from a 16 z. Uh, this is Alessio founder Kernel Lance, and I'm joined by Twix, editor of Latent Space.[00:00:08] swyx: Hey, hey, hey. Uh, and we're so glad to be on with you guys. Also a top AI podcast, uh, Martin Cado and Sarah Wang. Welcome, very[00:00:16] Martin Casado: happy to be here and welcome.[00:00:17] swyx: Yes, uh, we love this office. We love what you've done with the place. Uh, the new logo is everywhere now. It's, it's still getting, takes a while to get used to, but it reminds me of like sort of a callback to a more ambitious age, which I think is kind of[00:00:31] Martin Casado: definitely makes a statement.[00:00:33] swyx: Yeah.[00:00:34] Martin Casado: Not quite sure what that statement is, but it makes a statement.[00:00:37] swyx: Uh, Martin, I go back with you to Netlify.[00:00:40] Martin Casado: Yep.[00:00:40] swyx: Uh, and, uh, you know, you create a software defined networking and all, all that stuff people can read up on your background. Yep. Sarah, I'm newer to you. Uh, you, you sort of started working together on AI infrastructure stuff.[00:00:51] Sarah Wang: That's right. Yeah. Seven, seven years ago now.[00:00:53] Martin Casado: Best growth investor in the entire industry.[00:00:55] swyx: Oh, say[00:00:56] Martin Casado: more hands down there is, there is. [00:01:00] I mean, when it comes to AI companies, Sarah, I think has done the most kind of aggressive, um, investment thesis around AI models, right? So, worked for Nom Ja, Mira Ia, FEI Fey, and so just these frontier, kind of like large AI models.[00:01:15] I think, you know, Sarah's been the, the broadest investor. Is that fair?[00:01:20] Venture vs. Growth in the Frontier Model Era[00:01:20] Sarah Wang: No, I, well, I was gonna say, I think it's been a really interesting tag, tag team actually just ‘cause the, a lot of these big C deals, not only are they raising a lot of money, um, it's still a tech founder bet, which obviously is inherently early stage.[00:01:33] But the resources,[00:01:36] Martin Casado: so many, I[00:01:36] Sarah Wang: was gonna say the resources one, they just grow really quickly. But then two, the resources that they need day one are kind of growth scale. So I, the hybrid tag team that we have is. Quite effective, I think,[00:01:46] Martin Casado: what is growth these days? You know, you don't wake up if it's less than a billion or like, it's, it's actually, it's actually very like, like no, it's a very interesting time in investing because like, you know, take like the character around, right?[00:01:59] These tend to [00:02:00] be like pre monetization, but the dollars are large enough that you need to have a larger fund and the analysis. You know, because you've got lots of users. ‘cause this stuff has such high demand requires, you know, more of a number sophistication. And so most of these deals, whether it's US or other firms on these large model companies, are like this hybrid between venture growth.[00:02:18] Sarah Wang: Yeah. Total. And I think, you know, stuff like BD for example, you wouldn't usually need BD when you were seed stage trying to get market biz Devrel. Biz Devrel, exactly. Okay. But like now, sorry, I'm,[00:02:27] swyx: I'm not familiar. What, what, what does biz Devrel mean for a venture fund? Because I know what biz Devrel means for a company.[00:02:31] Sarah Wang: Yeah.[00:02:32] Compute Deals, Strategics, and the ‘Circular Funding' Question[00:02:32] Sarah Wang: You know, so a, a good example is, I mean, we talk about buying compute, but there's a huge negotiation involved there in terms of, okay, do you get equity for the compute? What, what sort of partner are you looking at? Is there a go-to market arm to that? Um, and these are just things on this scale, hundreds of millions, you know, maybe.[00:02:50] Six months into the inception of a company, you just wouldn't have to negotiate these deals before.[00:02:54] Martin Casado: Yeah. These large rounds are very complex now. Like in the past, if you did a series A [00:03:00] or a series B, like whatever, you're writing a 20 to a $60 million check and you call it a day. Now you normally have financial investors and strategic investors, and then the strategic portion always still goes with like these kind of large compute contracts, which can take months to do.[00:03:13] And so it's, it's very different ties. I've been doing this for 10 years. It's the, I've never seen anything like this.[00:03:19] swyx: Yeah. Do you have worries about the circular funding from so disease strategics?[00:03:24] Martin Casado: I mean, listen, as long as the demand is there, like the demand is there. Like the problem with the internet is the demand wasn't there.[00:03:29] swyx: Exactly. All right. This, this is like the, the whole pyramid scheme bubble thing, where like, as long as you mark to market on like the notional value of like, these deals, fine, but like once it starts to chip away, it really Well[00:03:41] Martin Casado: no, like as, as, as, as long as there's demand. I mean, you know, this, this is like a lot of these sound bites have already become kind of cliches, but they're worth saying it.[00:03:47] Right? Like during the internet days, like we were. Um, raising money to put fiber in the ground that wasn't used. And that's a problem, right? Because now you actually have a supply overhang.[00:03:58] swyx: Mm-hmm.[00:03:59] Martin Casado: And even in the, [00:04:00] the time of the, the internet, like the supply and, and bandwidth overhang, even as massive as it was in, as massive as the crash was only lasted about four years.[00:04:09] But we don't have a supply overhang. Like there's no dark GPUs, right? I mean, and so, you know, circular or not, I mean, you know, if, if someone invests in a company that, um. You know, they'll actually use the GPUs. And on the other side of it is the, is the ask for customer. So I I, I think it's a different time.[00:04:25] Sarah Wang: I think the other piece, maybe just to add onto this, and I'm gonna quote Martine in front of him, but this is probably also a unique time in that. For the first time, you can actually trace dollars to outcomes. Yeah, right. Provided that scaling laws are, are holding, um, and capabilities are actually moving forward.[00:04:40] Because if you can put translate dollars into capabilities, uh, a capability improvement, there's demand there to martine's point. But if that somehow breaks, you know, obviously that's an important assumption in this whole thing to make it work. But you know, instead of investing dollars into sales and marketing, you're, you're investing into r and d to get to the capability, um, you know, increase.[00:04:59] And [00:05:00] that's sort of been the demand driver because. Once there's an unlock there, people are willing to pay for it.[00:05:05] Alessio: Yeah.[00:05:06] Blurring Lines: Models as Infra + Apps, and the New Fundraising Flywheel[00:05:06] Alessio: Is there any difference in how you built the portfolio now that some of your growth companies are, like the infrastructure of the early stage companies, like, you know, OpenAI is now the same size as some of the cloud providers were early on.[00:05:16] Like what does that look like? Like how much information can you feed off each other between the, the two?[00:05:24] Martin Casado: There's so many lines that are being crossed right now, or blurred. Right. So we already talked about venture and growth. Another one that's being blurred is between infrastructure and apps, right? So like what is a model company?[00:05:35] Mm-hmm. Like, it's clearly infrastructure, right? Because it's like, you know, it's doing kind of core r and d. It's a horizontal platform, but it's also an app because it's um, uh, touches the users directly. And then of course. You know, the, the, the growth of these is just so high. And so I actually think you're just starting to see a, a, a new financing strategy emerge and, you know, we've had to adapt as a result of that.[00:05:59] And [00:06:00] so there's been a lot of changes. Um, you're right that these companies become platform companies very quickly. You've got ecosystem build out. So none of this is necessarily new, but the timescales of which it's happened is pretty phenomenal. And the way we'd normally cut lines before is blurred a little bit, but.[00:06:16] But that, that, that said, I mean, a lot of it also just does feel like things that we've seen in the past, like cloud build out the internet build out as well.[00:06:24] Sarah Wang: Yeah. Um, yeah, I think it's interesting, uh, I don't know if you guys would agree with this, but it feels like the emerging strategy is, and this builds off of your other question, um.[00:06:33] You raise money for compute, you pour that or you, you pour the money into compute, you get some sort of breakthrough. You funnel the breakthrough into your vertically integrated application. That could be chat GBT, that could be cloud code, you know, whatever it is. You massively gain share and get users.[00:06:49] Maybe you're even subsidizing at that point. Um, depending on your strategy. You raise money at the peak momentum and then you repeat, rinse and repeat. Um, and so. And that wasn't [00:07:00] true even two years ago, I think. Mm-hmm. And so it's sort of to your, just tying it to fundraising strategy, right? There's a, and hiring strategy.[00:07:07] All of these are tied, I think the lines are blurring even more today where everyone is, and they, but of course these companies all have API businesses and so they're these, these frenemy lines that are getting blurred in that a lot of, I mean, they have billions of dollars of API revenue, right? And so there are customers there.[00:07:23] But they're competing on the app layer.[00:07:24] Martin Casado: Yeah. So this is a really, really important point. So I, I would say for sure, venture and growth, that line is blurry app and infrastructure. That line is blurry. Um, but I don't think that that changes our practice so much. But like where the very open questions are like, does this layer in the same way.[00:07:43] Compute traditionally has like during the cloud is like, you know, like whatever, somebody wins one layer, but then another whole set of companies wins another layer. But that might not, might not be the case here. It may be the case that you actually can't verticalize on the token string. Like you can't build an app like it, it necessarily goes down just because there are no [00:08:00] abstractions.[00:08:00] So those are kinda the bigger existential questions we ask. Another thing that is very different this time than in the history of computer sciences is. In the past, if you raised money, then you basically had to wait for engineering to catch up. Which famously doesn't scale like the mythical mammoth. It take a very long time.[00:08:18] But like that's not the case here. Like a model company can raise money and drop a model in a, in a year, and it's better, right? And, and it does it with a team of 20 people or 10 people. So this type of like money entering a company and then producing something that has demand and growth right away and using that to raise more money is a very different capital flywheel than we've ever seen before.[00:08:39] And I think everybody's trying to understand what the consequences are. So I think it's less about like. Big companies and growth and this, and more about these more systemic questions that we actually don't have answers to.[00:08:49] Alessio: Yeah, like at Kernel Labs, one of our ideas is like if you had unlimited money to spend productively to turn tokens into products, like the whole early stage [00:09:00] market is very different because today you're investing X amount of capital to win a deal because of price structure and whatnot, and you're kind of pot committing.[00:09:07] Yeah. To a certain strategy for a certain amount of time. Yeah. But if you could like iteratively spin out companies and products and just throw, I, I wanna spend a million dollar of inference today and get a product out tomorrow.[00:09:18] swyx: Yeah.[00:09:19] Alessio: Like, we should get to the point where like the friction of like token to product is so low that you can do this and then you can change the Right, the early stage venture model to be much more iterative.[00:09:30] And then every round is like either 100 k of inference or like a hundred million from a 16 Z. There's no, there's no like $8 million C round anymore. Right.[00:09:38] When Frontier Labs Outspend the Entire App Ecosystem[00:09:38] Martin Casado: But, but, but, but there's a, there's a, the, an industry structural question that we don't know the answer to, which involves the frontier models, which is, let's take.[00:09:48] Anthropic it. Let's say Anthropic has a state-of-the-art model that has some large percentage of market share. And let's say that, uh, uh, uh, you know, uh, a company's building smaller models [00:10:00] that, you know, use the bigger model in the background, open 4.5, but they add value on top of that. Now, if Anthropic can raise three times more.[00:10:10] Every subsequent round, they probably can raise more money than the entire app ecosystem that's built on top of it. And if that's the case, they can expand beyond everything built on top of it. It's like imagine like a star that's just kind of expanding, so there could be a systemic. There could be a, a systemic situation where the soda models can raise so much money that they can out pay anybody that bills on top of ‘em, which would be something I don't think we've ever seen before just because we were so bottlenecked in engineering, and this is a very open question.[00:10:41] swyx: Yeah. It's, it is almost like bitter lesson applied to the startup industry.[00:10:45] Martin Casado: Yeah, a hundred percent. It literally becomes an issue of like raise capital, turn that directly into growth. Use that to raise three times more. Exactly. And if you can keep doing that, you literally can outspend any company that's built the, not any company.[00:10:57] You can outspend the aggregate of companies on top of [00:11:00] you and therefore you'll necessarily take their share, which is crazy.[00:11:02] swyx: Would you say that kind of happens in character? Is that the, the sort of postmortem on. What happened?[00:11:10] Sarah Wang: Um,[00:11:10] Martin Casado: no.[00:11:12] Sarah Wang: Yeah, because I think so,[00:11:13] swyx: I mean the actual postmortem is, he wanted to go back to Google.[00:11:15] Exactly. But like[00:11:18] Martin Casado: that's another difference that[00:11:19] Sarah Wang: you said[00:11:21] Martin Casado: it. We should talk, we should actually talk about that.[00:11:22] swyx: Yeah,[00:11:22] Sarah Wang: that's[00:11:23] swyx: Go for it. Take it. Take,[00:11:23] Sarah Wang: yeah.[00:11:24] Character.AI, Founder Goals (AGI vs Product), and GPU Allocation Tradeoffs[00:11:24] Sarah Wang: I was gonna say, I think, um. The, the, the character thing raises actually a different issue, which actually the Frontier Labs will face as well. So we'll see how they handle it.[00:11:34] But, um, so we invest in character in January, 2023, which feels like eons ago, I mean, three years ago. Feels like lifetimes ago. But, um, and then they, uh, did the IP licensing deal with Google in August, 2020. Uh, four. And so, um, you know, at the time, no, you know, he's talked publicly about this, right? He wanted to Google wouldn't let him put out products in the world.[00:11:56] That's obviously changed drastically. But, um, he went to go do [00:12:00] that. Um, but he had a product attached. The goal was, I mean, it's Nome Shair, he wanted to get to a GI. That was always his personal goal. But, you know, I think through collecting data, right, and this sort of very human use case, that the character product.[00:12:13] Originally was and still is, um, was one of the vehicles to do that. Um, I think the real reason that, you know. I if you think about the, the stress that any company feels before, um, you ultimately going one way or the other is sort of this a GI versus product. Um, and I think a lot of the big, I think, you know, opening eyes, feeling that, um, anthropic if they haven't started, you know, felt it, certainly given the success of their products, they may start to feel that soon.[00:12:39] And the real. I think there's real trade-offs, right? It's like how many, when you think about GPUs, that's a limited resource. Where do you allocate the GPUs? Is it toward the product? Is it toward new re research? Right? Is it, or long-term research, is it toward, um, n you know, near to midterm research? And so, um, in a case where you're resource constrained, um, [00:13:00] of course there's this fundraising game you can play, right?[00:13:01] But the fund, the market was very different back in 2023 too. Um. I think the best researchers in the world have this dilemma of, okay, I wanna go all in on a GI, but it's the product usage revenue flywheel that keeps the revenue in the house to power all the GPUs to get to a GI. And so it does make, um, you know, I think it sets up an interesting dilemma for any startup that has trouble raising up until that level, right?[00:13:27] And certainly if you don't have that progress, you can't continue this fly, you know, fundraising flywheel.[00:13:32] Martin Casado: I would say that because, ‘cause we're keeping track of all of the things that are different, right? Like, you know, venture growth and uh, app infra and one of the ones is definitely the personalities of the founders.[00:13:45] It's just very different this time I've been. Been doing this for a decade and I've been doing startups for 20 years. And so, um, I mean a lot of people start this to do a GI and we've never had like a unified North star that I recall in the same [00:14:00] way. Like people built companies to start companies in the past.[00:14:02] Like that was what it was. Like I would create an internet company, I would create infrastructure company, like it's kind of more engineering builders and this is kind of a different. You know, mentality. And some companies have harnessed that incredibly well because their direction is so obviously on the path to what somebody would consider a GI, but others have not.[00:14:20] And so like there is always this tension with personnel. And so I think we're seeing more kind of founder movement.[00:14:27] Sarah Wang: Yeah.[00:14:27] Martin Casado: You know, as a fraction of founders than we've ever seen. I mean, maybe since like, I don't know the time of like Shockly and the trade DUR aid or something like that. Way back in the beginning of the industry, I, it's a very, very.[00:14:38] Unusual time of personnel.[00:14:39] Sarah Wang: Totally.[00:14:40] Talent Wars, Mega-Comp, and the Rise of Acquihire M&A[00:14:40] Sarah Wang: And it, I think it's exacerbated by the fact that talent wars, I mean, every industry has talent wars, but not at this magnitude, right? No. Yeah. Very rarely can you see someone get poached for $5 billion. That's hard to compete with. And then secondly, if you're a founder in ai, you could fart and it would be on the front page of, you know, the information these days.[00:14:59] And so there's [00:15:00] sort of this fishbowl effect that I think adds to the deep anxiety that, that these AI founders are feeling.[00:15:06] Martin Casado: Hmm.[00:15:06] swyx: Uh, yes. I mean, just on, uh, briefly comment on the founder, uh, the sort of. Talent wars thing. I feel like 2025 was just like a blip. Like I, I don't know if we'll see that again.[00:15:17] ‘cause meta built the team. Like, I don't know if, I think, I think they're kind of done and like, who's gonna pay more than meta? I, I don't know.[00:15:23] Martin Casado: I, I agree. So it feels so, it feel, it feels this way to me too. It's like, it is like, basically Zuckerberg kind of came out swinging and then now he's kind of back to building.[00:15:30] Yeah,[00:15:31] swyx: yeah. You know, you gotta like pay up to like assemble team to rush the job, whatever. But then now, now you like you, you made your choices and now they got a ship.[00:15:38] Martin Casado: I mean, the, the o other side of that is like, you know, like we're, we're actually in the job hiring market. We've got 600 people here. I hire all the time.[00:15:44] I've got three open recs if anybody's interested, that's listening to this for investor. Yeah, on, on the team, like on the investing side of the team, like, and, um, a lot of the people we talk to have acting, you know, active, um, offers for 10 million a year or something like that. And like, you know, and we pay really, [00:16:00] really well.[00:16:00] And just to see what's out on the market is really, is really remarkable. And so I would just say it's actually, so you're right, like the really flashy one, like I will get someone for, you know, a billion dollars, but like the inflated, um, uh, trickles down. Yeah, it is still very active today. I mean,[00:16:18] Sarah Wang: yeah, you could be an L five and get an offer in the tens of millions.[00:16:22] Okay. Yeah. Easily. Yeah. It's so I think you're right that it felt like a blip. I hope you're right. Um, but I think it's been, the steady state is now, I think got pulled up. Yeah. Yeah. I'll pull up for[00:16:31] Martin Casado: sure. Yeah.[00:16:32] Alessio: Yeah. And I think that's breaking the early stage founder math too. I think before a lot of people would be like, well, maybe I should just go be a founder instead of like getting paid.[00:16:39] Yeah. 800 KA million at Google. But if I'm getting paid. Five, 6 million. That's different but[00:16:45] Martin Casado: on. But on the other hand, there's more strategic money than we've ever seen historically, right? Mm-hmm. And so, yep. The economics, the, the, the, the calculus on the economics is very different in a number of ways. And, uh, it's crazy.[00:16:58] It's cra it's causing like a, [00:17:00] a, a, a ton of change in confusion in the market. Some very positive, sub negative, like, so for example, the other side of the, um. The co-founder, like, um, acquisition, you know, mark Zuckerberg poaching someone for a lot of money is like, we were actually seeing historic amount of m and a for basically acquihires, right?[00:17:20] That you like, you know, really good outcomes from a venture perspective that are effective acquihires, right? So I would say it's probably net positive from the investment standpoint, even though it seems from the headlines to be very disruptive in a negative way.[00:17:33] Alessio: Yeah.[00:17:33] What's Underfunded: Boring Software, Robotics Skepticism, and Custom Silicon Economics[00:17:33] Alessio: Um, let's talk maybe about what's not being invested in, like maybe some interesting ideas that you would see more people build or it, it seems in a way, you know, as ycs getting more popular, it's like access getting more popular.[00:17:47] There's a startup school path that a lot of founders take and they know what's hot in the VC circles and they know what gets funded. Uh, and there's maybe not as much risk appetite for. Things outside of that. Um, I'm curious if you feel [00:18:00] like that's true and what are maybe, uh, some of the areas, uh, that you think are under discussed?[00:18:06] Martin Casado: I mean, I actually think that we've taken our eye off the ball in a lot of like, just traditional, you know, software companies. Um, so like, I mean. You know, I think right now there's almost a barbell, like you're like the hot thing on X, you're deep tech.[00:18:21] swyx: Mm-hmm.[00:18:22] Martin Casado: Right. But I, you know, I feel like there's just kind of a long, you know, list of like good.[00:18:28] Good companies that will be around for a long time in very large markets. Say you're building a database, you know, say you're building, um, you know, kind of monitoring or logging or tooling or whatever. There's some good companies out there right now, but like, they have a really hard time getting, um, the attention of investors.[00:18:43] And it's almost become a meme, right? Which is like, if you're not basically growing from zero to a hundred in a year, you're not interesting, which is just, is the silliest thing to say. I mean, think of yourself as like an introvert person, like, like your personal money, right? Mm-hmm. So. Your personal money, will you put it in the stock market at 7% or you put it in this company growing five x in a very large [00:19:00] market?[00:19:00] Of course you can put it in the company five x. So it's just like we say these stupid things, like if you're not going from zero to a hundred, but like those, like who knows what the margins of those are mean. Clearly these are good investments. True for anybody, right? True. Like our LPs want whatever.[00:19:12] Three x net over, you know, the life cycle of a fund, right? So a, a company in a big market growing five X is a great investment. We'd, everybody would be happy with these returns, but we've got this kind of mania on these, these strong growths. And so I would say that that's probably the most underinvested sector.[00:19:28] Right now.[00:19:29] swyx: Boring software, boring enterprise software.[00:19:31] Martin Casado: Traditional. Really good company.[00:19:33] swyx: No, no AI here.[00:19:34] Martin Casado: No. Like boring. Well, well, the AI of course is pulling them into use cases. Yeah, but that's not what they're, they're not on the token path, right? Yeah. Let's just say that like they're software, but they're not on the token path.[00:19:41] Like these are like they're great investments from any definition except for like random VC on Twitter saying VC on x, saying like, it's not growing fast enough. What do you[00:19:52] Sarah Wang: think? Yeah, maybe I'll answer a slightly different. Question, but adjacent to what you asked, um, which is maybe an area that we're not, uh, investing [00:20:00] right now that I think is a question and we're spending a lot of time in regardless of whether we pull the trigger or not.[00:20:05] Um, and it would probably be on the hardware side, actually. Robotics, right? And the robotics side. Robotics. Right. Which is, it's, I don't wanna say that it's not getting funding ‘cause it's clearly, uh, it's, it's sort of non-consensus to almost not invest in robotics at this point. But, um, we spent a lot of time in that space and I think for us, we just haven't seen the chat GPT moment.[00:20:22] Happen on the hardware side. Um, and the funding going into it feels like it's already. Taking that for granted.[00:20:30] Martin Casado: Yeah. Yeah. But we also went through the drone, you know, um, there's a zip line right, right out there. What's that? Oh yeah, there's a zip line. Yeah. What the drone, what the av And like one of the takeaways is when it comes to hardware, um, most companies will end up verticalizing.[00:20:46] Like if you're. If you're investing in a robot company for an A for agriculture, you're investing in an ag company. ‘cause that's the competition and that's surprising. And that's supply chain. And if you're doing it for mining, that's mining. And so the ad team does a lot of that type of stuff ‘cause they actually set up to [00:21:00] diligence that type of work.[00:21:01] But for like horizontal technology investing, there's very little when it comes to robots just because it's so fit for, for purpose. And so we kinda like to look at software. Solutions or horizontal solutions like applied intuition. Clearly from the AV wave deep map, clearly from the AV wave, I would say scale AI was actually a horizontal one for That's fair, you know, for robotics early on.[00:21:23] And so that sort of thing we're very, very interested. But the actual like robot interacting with the world is probably better for different team. Agree.[00:21:30] Alessio: Yeah, I'm curious who these teams are supposed to be that invest in them. I feel like everybody's like, yeah, robotics, it's important and like people should invest in it.[00:21:38] But then when you look at like the numbers, like the capital requirements early on versus like the moment of, okay, this is actually gonna work. Let's keep investing. That seems really hard to predict in a way that is not,[00:21:49] Martin Casado: I think co, CO two, kla, gc, I mean these are all invested in in Harvard companies. He just, you know, and [00:22:00] listen, I mean, it could work this time for sure.[00:22:01] Right? I mean if Elon's doing it, he's like, right. Just, just the fact that Elon's doing it means that there's gonna be a lot of capital and a lot of attempts for a long period of time. So that alone maybe suggests that we should just be investing in robotics just ‘cause you have this North star who's Elon with a humanoid and that's gonna like basically willing into being an industry.[00:22:17] Um, but we've just historically found like. We're a huge believer that this is gonna happen. We just don't feel like we're in a good position to diligence these things. ‘cause again, robotics companies tend to be vertical. You really have to understand the market they're being sold into. Like that's like that competitive equilibrium with a human being is what's important.[00:22:34] It's not like the core tech and like we're kind of more horizontal core tech type investors. And this is Sarah and I. Yeah, the ad team is different. They can actually do these types of things.[00:22:42] swyx: Uh, just to clarify, AD stands for[00:22:44] Martin Casado: American Dynamism.[00:22:45] swyx: Alright. Okay. Yeah, yeah, yeah. Uh, I actually, I do have a related question that, first of all, I wanna acknowledge also just on the, on the chip side.[00:22:51] Yeah. I, I recall a podcast that where you were on, i, I, I think it was the a CC podcast, uh, about two or three years ago where you, where you suddenly said [00:23:00] something, which really stuck in my head about how at some point, at some point kind of scale it makes sense to. Build a custom aic Yes. For per run.[00:23:07] Martin Casado: Yes.[00:23:07] It's crazy. Yeah.[00:23:09] swyx: We're here and I think you, you estimated 500 billion, uh, something.[00:23:12] Martin Casado: No, no, no. A billion, a billion dollar training run of $1 billion training run. It makes sense to actually do a custom meic if you can do it in time. The question now is timelines. Yeah, but not money because just, just, just rough math.[00:23:22] If it's a billion dollar training. Then the inference for that model has to be over a billion, otherwise it won't be solvent. So let's assume it's, if you could save 20%, which you could save much more than that with an ASIC 20%, that's $200 million. You can tape out a chip for $200 million. Right? So now you can literally like justify economically, not timeline wise.[00:23:41] That's a different issue. An ASIC per model, which[00:23:44] swyx: is because that, that's how much we leave on the table every single time. We, we, we do like generic Nvidia.[00:23:48] Martin Casado: Exactly. Exactly. No, it, it is actually much more than that. You could probably get, you know, a factor of two, which would be 500 million.[00:23:54] swyx: Typical MFU would be like 50.[00:23:55] Yeah, yeah. And that's good.[00:23:57] Martin Casado: Exactly. Yeah. Hundred[00:23:57] swyx: percent. Um, so, so, yeah, and I mean, and I [00:24:00] just wanna acknowledge like, here we are in, in, in 2025 and opening eyes confirming like Broadcom and all the other like custom silicon deals, which is incredible. I, I think that, uh, you know, speaking about ad there's, there's a really like interesting tie in that obviously you guys are hit on, which is like these sort, this sort of like America first movement or like sort of re industrialized here.[00:24:17] Yeah. Uh, move TSMC here, if that's possible. Um, how much overlap is there from ad[00:24:23] Martin Casado: Yeah.[00:24:23] swyx: To, I guess, growth and, uh, investing in particularly like, you know, US AI companies that are strongly bounded by their compute.[00:24:32] Martin Casado: Yeah. Yeah. So I mean, I, I would view, I would view AD as more as a market segmentation than like a mission, right?[00:24:37] So the market segmentation is, it has kind of regulatory compliance issues or government, you know, sale or it deals with like hardware. I mean, they're just set up to, to, to, to, to. To diligence those types of companies. So it's a more of a market segmentation thing. I would say the entire firm. You know, which has been since it is been intercepted, you know, has geographical biases, right?[00:24:58] I mean, for the longest time we're like, you [00:25:00] know, bay Area is gonna be like, great, where the majority of the dollars go. Yeah. And, and listen, there, there's actually a lot of compounding effects for having a geographic bias. Right. You know, everybody's in the same place. You've got an ecosystem, you're there, you've got presence, you've got a network.[00:25:12] Um, and, uh, I mean, I would say the Bay area's very much back. You know, like I, I remember during pre COVID, like it was like almost Crypto had kind of. Pulled startups away. Miami from the Bay Area. Miami, yeah. Yeah. New York was, you know, because it's so close to finance, came up like Los Angeles had a moment ‘cause it was so close to consumer, but now it's kind of come back here.[00:25:29] And so I would say, you know, we tend to be very Bay area focused historically, even though of course we've asked all over the world. And then I would say like, if you take the ring out, you know, one more, it's gonna be the US of course, because we know it very well. And then one more is gonna be getting us and its allies and Yeah.[00:25:44] And it goes from there.[00:25:45] Sarah Wang: Yeah,[00:25:45] Martin Casado: sorry.[00:25:46] Sarah Wang: No, no. I agree. I think from a, but I think from the intern that that's sort of like where the companies are headquartered. Maybe your questions on supply chain and customer base. Uh, I, I would say our customers are, are, our companies are fairly international from that perspective.[00:25:59] Like they're selling [00:26:00] globally, right? They have global supply chains in some cases.[00:26:03] Martin Casado: I would say also the stickiness is very different.[00:26:05] Sarah Wang: Yeah.[00:26:05] Martin Casado: Historically between venture and growth, like there's so much company building in venture, so much so like hiring the next PM. Introducing the customer, like all of that stuff.[00:26:15] Like of course we're just gonna be stronger where we have our network and we've been doing business for 20 years. I've been in the Bay Area for 25 years, so clearly I'm just more effective here than I would be somewhere else. Um, where I think, I think for some of the later stage rounds, the companies don't need that much help.[00:26:30] They're already kind of pretty mature historically, so like they can kind of be everywhere. So there's kind of less of that stickiness. This is different in the AI time. I mean, Sarah is now the, uh, chief of staff of like half the AI companies in, uh, in the Bay Area right now. She's like, ops Ninja Biz, Devrel, BizOps.[00:26:48] swyx: Are, are you, are you finding much AI automation in your work? Like what, what is your stack.[00:26:53] Sarah Wang: Oh my, in my personal stack.[00:26:54] swyx: I mean, because like, uh, by the way, it's the, the, the reason for this is it is triggering, uh, yeah. We, like, I'm hiring [00:27:00] ops, ops people. Um, a lot of ponders I know are also hiring ops people and I'm just, you know, it's opportunity Since you're, you're also like basically helping out with ops with a lot of companies.[00:27:09] What are people doing these days? Because it's still very manual as far as I can tell.[00:27:13] Sarah Wang: Hmm. Yeah. I think the things that we help with are pretty network based, um, in that. It's sort of like, Hey, how do do I shortcut this process? Well, let's connect you to the right person. So there's not quite an AI workflow for that.[00:27:26] I will say as a growth investor, Claude Cowork is pretty interesting. Yeah. Like for the first time, you can actually get one shot data analysis. Right. Which, you know, if you're gonna do a customer database, analyze a cohort retention, right? That's just stuff that you had to do by hand before. And our team, the other, it was like midnight and the three of us were playing with Claude Cowork.[00:27:47] We gave it a raw file. Boom. Perfectly accurate. We checked the numbers. It was amazing. That was my like, aha moment. That sounds so boring. But you know, that's, that's the kind of thing that a growth investor is like, [00:28:00] you know, slaving away on late at night. Um, done in a few seconds.[00:28:03] swyx: Yeah. You gotta wonder what the whole, like, philanthropic labs, which is like their new sort of products studio.[00:28:10] Yeah. What would that be worth as an independent, uh, startup? You know, like a[00:28:14] Martin Casado: lot.[00:28:14] Sarah Wang: Yeah, true.[00:28:16] swyx: Yeah. You[00:28:16] Martin Casado: gotta hand it to them. They've been executing incredibly well.[00:28:19] swyx: Yeah. I, I mean, to me, like, you know, philanthropic, like building on cloud code, I think, uh, it makes sense to me the, the real. Um, pedal to the metal, whatever the, the, the phrase is, is when they start coming after consumer with, uh, against OpenAI and like that is like red alert at Open ai.[00:28:35] Oh, I[00:28:35] Martin Casado: think they've been pretty clear. They're enterprise focused.[00:28:37] swyx: They have been, but like they've been free. Here's[00:28:40] Martin Casado: care publicly,[00:28:40] swyx: it's enterprise focused. It's coding. Right. Yeah.[00:28:43] AI Labs vs Startups: Disruption, Undercutting & the Innovator's Dilemma[00:28:43] swyx: And then, and, but here's cloud, cloud, cowork, and, and here's like, well, we, uh, they, apparently they're running Instagram ads for Claudia.[00:28:50] I, on, you know, for, for people on, I get them all the time. Right. And so, like,[00:28:54] Martin Casado: uh,[00:28:54] swyx: it, it's kind of like this, the disruption thing of, uh, you know. Mo Open has been doing, [00:29:00] consumer been doing the, just pursuing general intelligence in every mo modality, and here's a topic that only focus on this thing, but now they're sort of undercutting and doing the whole innovator's dilemma thing on like everything else.[00:29:11] Martin Casado: It's very[00:29:11] swyx: interesting.[00:29:12] Martin Casado: Yeah, I mean there's, there's a very open que so for me there's like, do you know that meme where there's like the guy in the path and there's like a path this way? There's a path this way. Like one which way Western man. Yeah. Yeah.[00:29:23] Two Futures for AI: Infinite Market vs AGI Oligopoly[00:29:23] Martin Casado: And for me, like, like all the entire industry kind of like hinges on like two potential futures.[00:29:29] So in, in one potential future, um, the market is infinitely large. There's perverse economies of scale. ‘cause as soon as you put a model out there, like it kind of sublimates and all the other models catch up and like, it's just like software's being rewritten and fractured all over the place and there's tons of upside and it just grows.[00:29:48] And then there's another path which is like, well. Maybe these models actually generalize really well, and all you have to do is train them with three times more money. That's all you have to [00:30:00] do, and it'll just consume everything beyond it. And if that's the case, like you end up with basically an oligopoly for everything, like, you know mm-hmm.[00:30:06] Because they're perfectly general and like, so this would be like the, the a GI path would be like, these are perfectly general. They can do everything. And this one is like, this is actually normal software. The universe is complicated. You've got, and nobody knows the answer.[00:30:18] The Economics Reality Check: Gross Margins, Training Costs & Borrowing Against the Future[00:30:18] Martin Casado: My belief is if you actually look at the numbers of these companies, so generally if you look at the numbers of these companies, if you look at like the amount they're making and how much they, they spent training the last model, they're gross margin positive.[00:30:30] You're like, oh, that's really working. But if you look at like. The current training that they're doing for the next model, their gross margin negative. So part of me thinks that a lot of ‘em are kind of borrowing against the future and that's gonna have to slow down. It's gonna catch up to them at some point in time, but we don't really know.[00:30:47] Sarah Wang: Yeah.[00:30:47] Martin Casado: Does that make sense? Like, I mean, it could be, it could be the case that the only reason this is working is ‘cause they can raise that next round and they can train that next model. ‘cause these models have such a short. Life. And so at some point in time, like, you know, they won't be able to [00:31:00] raise that next round for the next model and then things will kind of converge and fragment again.[00:31:03] But right now it's not.[00:31:04] Sarah Wang: Totally. I think the other, by the way, just, um, a meta point. I think the other lesson from the last three years is, and we talk about this all the time ‘cause we're on this. Twitter X bubble. Um, cool. But, you know, if you go back to, let's say March, 2024, that period, it felt like a, I think an open source model with an, like a, you know, benchmark leading capability was sort of launching on a daily basis at that point.[00:31:27] And, um, and so that, you know, that's one period. Suddenly it's sort of like open source takes over the world. There's gonna be a plethora. It's not an oligopoly, you know, if you fast, you know, if you, if you rewind time even before that GPT-4 was number one for. Nine months, 10 months. It's a long time. Right.[00:31:44] Um, and of course now we're in this era where it feels like an oligopoly, um, maybe some very steady state shifts and, and you know, it could look like this in the future too, but it just, it's so hard to call. And I think the thing that keeps, you know, us up at [00:32:00] night in, in a good way and bad way, is that the capability progress is actually not slowing down.[00:32:06] And so until that happens, right, like you don't know what's gonna look like.[00:32:09] Martin Casado: But I, I would, I would say for sure it's not converged, like for sure, like the systemic capital flows have not converged, meaning right now it's still borrowing against the future to subsidize growth currently, which you can do that for a period of time.[00:32:23] But, but you know, at the end, at some point the market will rationalize that and just nobody knows what that will look like.[00:32:29] Alessio: Yeah.[00:32:29] Martin Casado: Or, or like the drop in price of compute will, will, will save them. Who knows?[00:32:34] Alessio: Yeah. Yeah. I think the models need to ask them to, to specific tasks. You know? It's like, okay, now Opus 4.5 might be a GI at some specific task, and now you can like depreciate the model over a longer time.[00:32:45] I think now, now, right now there's like no old model.[00:32:47] Martin Casado: No, but let, but lemme just change that mental, that's, that used to be my mental model. Lemme just change it a little bit.[00:32:53] Capital as a Weapon vs Task Saturation: Where Real Enterprise Value Gets Built[00:32:53] Martin Casado: If you can raise three times, if you can raise more than the aggregate of anybody that uses your models, that doesn't even matter.[00:32:59] It doesn't [00:33:00] even matter. See what I'm saying? Like, yeah. Yeah. So, so I have an API Business. My API business is 60% margin, or 70% margin, or 80% margin is a high margin business. So I know what everybody is using. If I can raise more money than the aggregate of everybody that's using it, I will consume them whether I'm a GI or not.[00:33:14] And I will know if they're using it ‘cause they're using it. And like, unlike in the past where engineering stops me from doing that.[00:33:21] Alessio: Mm-hmm.[00:33:21] Martin Casado: It is very straightforward. You just train. So I also thought it was kind of like, you must ask the code a GI, general, general, general. But I think there's also just a possibility that the, that the capital markets will just give them the, the, the ammunition to just go after everybody on top of ‘em.[00:33:36] Sarah Wang: I, I do wonder though, to your point, um, if there's a certain task that. Getting marginally better isn't actually that much better. Like we've asked them to it, to, you know, we can call it a GI or whatever, you know, actually, Ali Goi talks about this, like we're already at a GI for a lot of functions in the enterprise.[00:33:50] Um. That's probably those for those tasks, you probably could build very specific companies that focus on just getting as much value out of that task that isn't [00:34:00] coming from the model itself. There's probably a rich enterprise business to be built there. I mean, could be wrong on that, but there's a lot of interesting examples.[00:34:08] So, right, if you're looking the legal profession or, or whatnot, and maybe that's not a great one ‘cause the models are getting better on that front too, but just something where it's a bit saturated, then the value comes from. Services. It comes from implementation, right? It comes from all these things that actually make it useful to the end customer.[00:34:24] Martin Casado: Sorry, what am I, one more thing I think is, is underused in all of this is like, to what extent every task is a GI complete.[00:34:31] Sarah Wang: Mm-hmm.[00:34:32] Martin Casado: Yeah. I code every day. It's so fun.[00:34:35] Sarah Wang: That's a core question. Yeah.[00:34:36] Martin Casado: And like. When I'm talking to these models, it's not just code. I mean, it's everything, right? Like I, you know, like it's,[00:34:43] swyx: it's healthcare.[00:34:44] It's,[00:34:44] Martin Casado: I mean, it's[00:34:44] swyx: Mele,[00:34:45] Martin Casado: but it's every, it is exactly that. Like, yeah, that's[00:34:47] Sarah Wang: great support. Yeah.[00:34:48] Martin Casado: It's everything. Like I'm asking these models to, yeah, to understand compliance. I'm asking these models to go search the web. I'm asking these models to talk about things I know in the history, like it's having a full conversation with me while I, I engineer, and so it could be [00:35:00] the case that like, mm-hmm.[00:35:01] The most a, you know, a GI complete, like I'm not an a GI guy. Like I think that's, you know, but like the most a GI complete model will is win independent of the task. And we don't know the answer to that one either.[00:35:11] swyx: Yeah.[00:35:12] Martin Casado: But it seems to me that like, listen, codex in my experience is for sure better than Opus 4.5 for coding.[00:35:18] Like it finds the hardest bugs that I work in with. Like, it is, you know. The smartest developers. I don't work on it. It's great. Um, but I think Opus 4.5 is actually very, it's got a great bedside manner and it really, and it, it really matters if you're building something very complex because like, it really, you know, like you're, you're, you're a partner and a brainstorming partner for somebody.[00:35:38] And I think we don't discuss enough how every task kind of has that quality.[00:35:42] swyx: Mm-hmm.[00:35:43] Martin Casado: And what does that mean to like capital investment and like frontier models and Submodels? Yeah.[00:35:47] Why “Coding Models” Keep Collapsing into Generalists (Reasoning vs Taste)[00:35:47] Martin Casado: Like what happened to all the special coding models? Like, none of ‘em worked right. So[00:35:51] Alessio: some of them, they didn't even get released.[00:35:53] Magical[00:35:54] Martin Casado: Devrel. There's a whole, there's a whole host. We saw a bunch of them and like there's this whole theory that like, there could be, and [00:36:00] I think one of the conclusions is, is like there's no such thing as a coding model,[00:36:04] Alessio: you know?[00:36:04] Martin Casado: Like, that's not a thing. Like you're talking to another human being and it's, it's good at coding, but like it's gotta be good at everything.[00:36:10] swyx: Uh, minor disagree only because I, I'm pretty like, have pretty high confidence that basically open eye will always release a GPT five and a GT five codex. Like that's the code's. Yeah. The way I call it is one for raisin, one for Tiz. Um, and, and then like someone internal open, it was like, yeah, that's a good way to frame it.[00:36:32] Martin Casado: That's so funny.[00:36:33] swyx: Uh, but maybe it, maybe it collapses down to reason and that's it. It's not like a hundred dimensions doesn't life. Yeah. It's two dimensions. Yeah, yeah, yeah, yeah. Like and exactly. Beside manner versus coding. Yeah.[00:36:43] Martin Casado: Yeah.[00:36:44] swyx: It's, yeah.[00:36:46] Martin Casado: I, I think for, for any, it's hilarious. For any, for anybody listening to this for, for, for, I mean, for you, like when, when you're like coding or using these models for something like that.[00:36:52] Like actually just like be aware of how much of the interaction has nothing to do with coding and it just turns out to be a large portion of it. And so like, you're, I [00:37:00] think like, like the best Soto ish model. You know, it is going to remain very important no matter what the task is.[00:37:06] swyx: Yeah.[00:37:07] What He's Actually Coding: Gaussian Splats, Spark.js & 3D Scene Rendering Demos[00:37:07] swyx: Uh, speaking of coding, uh, I, I'm gonna be cheeky and ask like, what actually are you coding?[00:37:11] Because obviously you, you could code anything and you are obviously a busy investor and a manager of the good. Giant team. Um, what are you calling?[00:37:18] Martin Casado: I help, um, uh, FEFA at World Labs. Uh, it's one of the investments and um, and they're building a foundation model that creates 3D scenes.[00:37:27] swyx: Yeah, we had it on the pod.[00:37:28] Yeah. Yeah,[00:37:28] Martin Casado: yeah. And so these 3D scenes are Gaussian splats, just by the way that kind of AI works. And so like, you can reconstruct a scene better with, with, with radiance feels than with meshes. ‘cause like they don't really have topology. So, so they, they, they produce each. Beautiful, you know, 3D rendered scenes that are Gaussian splats, but the actual industry support for Gaussian splats isn't great.[00:37:50] It's just never, you know, it's always been meshes and like, things like unreal use meshes. And so I work on a open source library called Spark js, which is a. Uh, [00:38:00] a JavaScript rendering layer ready for Gaussian splats. And it's just because, you know, um, you, you, you need that support and, and right now there's kind of a three js moment that's all meshes and so like, it's become kind of the default in three Js ecosystem.[00:38:13] As part of that to kind of exercise the library, I just build a whole bunch of cool demos. So if you see me on X, you see like all my demos and all the world building, but all of that is just to exercise this, this library that I work on. ‘cause it's actually a very tough algorithmics problem to actually scale a library that much.[00:38:29] And just so you know, this is ancient history now, but 30 years ago I paid for undergrad, you know, working on game engines in college in the late nineties. So I've got actually a back and it's very old background, but I actually have a background in this and so a lot of it's fun. You know, but, but the, the, the, the whole goal is just for this rendering library to, to,[00:38:47] Sarah Wang: are you one of the most active contributors?[00:38:49] The, their GitHub[00:38:50] Martin Casado: spark? Yes.[00:38:51] Sarah Wang: Yeah, yeah.[00:38:51] Martin Casado: There's only two of us there, so, yes. No, so by the way, so the, the pri The pri, yeah. Yeah. So the primary developer is a [00:39:00] guy named Andres Quist, who's an absolute genius. He and I did our, our PhDs together. And so like, um, we studied for constant Quas together. It was almost like hanging out with an old friend, you know?[00:39:09] And so like. So he, he's the core, core guy. I did mostly kind of, you know, the side I run venture fund.[00:39:14] swyx: It's amazing. Like five years ago you would not have done any of this. And it brought you back[00:39:19] Martin Casado: the act, the Activ energy, you're still back. Energy was so high because you had to learn all the framework b******t.[00:39:23] Man, I f*****g used to hate that. And so like, now I don't have to deal with that. I can like focus on the algorithmics so I can focus on the scaling and I,[00:39:29] swyx: yeah. Yeah.[00:39:29] LLMs vs Spatial Intelligence + How to Value World Labs' 3D Foundation Model[00:39:29] swyx: And then, uh, I'll observe one irony and then I'll ask a serious investor question, uh, which is like, the irony is FFE actually doesn't believe that LMS can lead us to spatial intelligence.[00:39:37] And here you are using LMS to like help like achieve spatial intelligence. I just see, I see some like disconnect in there.[00:39:45] Martin Casado: Yeah. Yeah. So I think, I think, you know, I think, I think what she would say is LLMs are great to help with coding.[00:39:51] swyx: Yes.[00:39:51] Martin Casado: But like, that's very different than a model that actually like provides, they, they'll never have the[00:39:56] swyx: spatial inte[00:39:56] Martin Casado: issues.[00:39:56] And listen, our brains clearly listen, our brains, brains clearly have [00:40:00] both our, our brains clearly have a language reasoning section and they clearly have a spatial reasoning section. I mean, it's just, you know, these are two pretty independent problems.[00:40:07] swyx: Okay. And you, you, like, I, I would say that the, the one data point I recently had, uh, against it is the DeepMind, uh, IMO Gold, where, so, uh, typically the, the typical answer is that this is where you start going down the neuros symbolic path, right?[00:40:21] Like one, uh, sort of very sort of abstract reasoning thing and one form, formal thing. Um, and that's what. DeepMind had in 2024 with alpha proof, alpha geometry, and now they just use deep think and just extended thinking tokens. And it's one model and it's, and it's in LM.[00:40:36] Martin Casado: Yeah, yeah, yeah, yeah, yeah.[00:40:37] swyx: And so that, that was my indication of like, maybe you don't need a separate system.[00:40:42] Martin Casado: Yeah. So, so let me step back. I mean, at the end of the day, at the end of the day, these things are like nodes in a graph with weights on them. Right. You know, like it can be modeled like if you, if you distill it down. But let me just talk about the two different substrates. Let's, let me put you in a dark room.[00:40:56] Like totally black room. And then let me just [00:41:00] describe how you exit it. Like to your left, there's a table like duck below this thing, right? I mean like the chances that you're gonna like not run into something are very low. Now let me like turn on the light and you actually see, and you can do distance and you know how far something away is and like where it is or whatever.[00:41:17] Then you can do it, right? Like language is not the right primitives to describe. The universe because it's not exact enough. So that's all Faye, Faye is talking about. When it comes to like spatial reasoning, it's like you actually have to know that this is three feet far, like that far away. It is curved.[00:41:37] You have to understand, you know, the, like the actual movement through space.[00:41:40] swyx: Yeah.[00:41:40] Martin Casado: So I do, I listen, I do think at the end of these models are definitely converging as far as models, but there's, there's, there's different representations of problems you're solving. One is language. Which, you know, that would be like describing to somebody like what to do.[00:41:51] And the other one is actually just showing them and the space reasoning is just showing them.[00:41:55] swyx: Yeah, yeah, yeah. Right. Got it, got it. Uh, the, in the investor question was on, on, well labs [00:42:00] is, well, like, how do I value something like this? What, what, what work does the, do you do? I'm just like, Fefe is awesome.[00:42:07] Justin's awesome. And you know, the other two co-founder, co-founders, but like the, the, the tech, everyone's building cool tech. But like, what's the value of the tech? And this is the fundamental question[00:42:16] Martin Casado: of, well, let, let, just like these, let me just maybe give you a rough sketch on the diffusion models. I actually love to hear Sarah because I'm a venture for, you know, so like, ventures always, always like kind of wild west type[00:42:24] swyx: stuff.[00:42:24] You, you, you, you paid a dream and she has to like, actually[00:42:28] Martin Casado: I'm gonna say I'm gonna mar to reality, so I'm gonna say the venture for you. And she can be like, okay, you a little kid. Yeah. So like, so, so these diffusion models literally. Create something for, for almost nothing. And something that the, the world has found to be very valuable in the past, in our real markets, right?[00:42:45] Like, like a 2D image. I mean, that's been an entire market. People value them. It takes a human being a long time to create it, right? I mean, to create a, you know, a, to turn me into a whatever, like an image would cost a hundred bucks in an hour. The inference cost [00:43:00] us a hundredth of a penny, right? So we've seen this with speech in very successful companies.[00:43:03] We've seen this with 2D image. We've seen this with movies. Right? Now, think about 3D scene. I mean, I mean, when's Grand Theft Auto coming out? It's been six, what? It's been 10 years. I mean, how, how like, but hasn't been 10 years.[00:43:14] Alessio: Yeah.[00:43:15] Martin Casado: How much would it cost to like, to reproduce this room in 3D? Right. If you, if you, if you hired somebody on fiber, like in, in any sort of quality, probably 4,000 to $10,000.[00:43:24] And then if you had a professional, probably $30,000. So if you could generate the exact same thing from a 2D image, and we know that these are used and they're using Unreal and they're using Blend, or they're using movies and they're using video games and they're using all. So if you could do that for.[00:43:36] You know, less than a dollar, that's four or five orders of magnitude cheaper. So you're bringing the marginal cost of something that's useful down by three orders of magnitude, which historically have created very large companies. So that would be like the venture kind of strategic dreaming map.[00:43:49] swyx: Yeah.[00:43:50] And, and for listeners, uh, you can do this yourself on your, on your own phone with like. Uh, the marble.[00:43:55] Martin Casado: Yeah. Marble.[00:43:55] swyx: Uh, or but also there's many Nerf apps where you just go on your iPhone and, and do this.[00:43:59] Martin Casado: Yeah. Yeah. [00:44:00] Yeah. And, and in the case of marble though, it would, what you do is you literally give it in.[00:44:03] So most Nerf apps you like kind of run around and take a whole bunch of pictures and then you kind of reconstruct it.[00:44:08] swyx: Yeah.[00:44:08] Martin Casado: Um, things like marble, just that the whole generative 3D space will just take a 2D image and it'll reconstruct all the like, like[00:44:16] swyx: meaning it has to fill in. Uh,[00:44:18] Martin Casado: stuff at the back of the table, under the table, the back, like, like the images, it doesn't see.[00:44:22] So the generator stuff is very different than reconstruction that it fills in the things that you can't see.[00:44:26] swyx: Yeah. Okay.[00:44:26] Sarah Wang: So,[00:44:27] Martin Casado: all right. So now the,[00:44:28] Sarah Wang: no, no. I mean I love that[00:44:29] Martin Casado: the adult[00:44:29] Sarah Wang: perspective. Um, well, no, I was gonna say these are very much a tag team. So we, we started this pod with that, um, premise. And I think this is a perfect question to even build on that further.[00:44:36] ‘cause it truly is, I mean, we're tag teaming all of these together.[00:44:39] Investing in Model Labs, Media Rumors, and the Cursor Playbook (Margins & Going Down-Stack)[00:44:39] Sarah Wang: Um, but I think every investment fundamentally starts with the same. Maybe the same two premises. One is, at this point in time, we actually believe that there are. And of one founders for their particular craft, and they have to be demonstrated in their prior careers, right?[00:44:56] So, uh, we're not investing in every, you know, now the term is NEO [00:45:00] lab, but every foundation model, uh, any, any company, any founder trying to build a foundation model, we're not, um, contrary to popular opinion, we're

In this episode of Unearthed, hosts Joe Cavatoni and John Reade examine the shifting dynamics in China - the world's most important gold market for more than a decade. They are joined by Roland Wang, Regional CEO for China at the World Gold Council, to explore how gold demand is evolving amid economic headwinds, changing consumer behaviour, and rapid innovation. As real estate's role as a primary store of value wanes, Chinese households are increasingly diversifying into gold in various and innovative ways. The conversation also dives into the transformation of China's jewellery market, including the rise of “hard pure gold”. While consumer confidence remains a key challenge in this high price environment, the episode highlights why China's gold market remains diverse, sophisticated, and structurally resilient. Subscribe to Unearthed wherever you get your podcasts, and visit Goldhub.com for more insights.   Notable Quotes “Real estate was a big piece of savings and now people are moving into portfolios and diversification.” – Joe Cavatoni “For more than 10 years, China has been the most important market for gold.” – Joe Cavatoni “The investment demand overpassed the jewellery demand in China. It's never happened before.” – Roland Wang “Consumers still like to buy it because they buy not only for the appearance, but also for the gold value behind it.” – Roland Wang “One of the leading gold ETFs in China attracted more than 40 million customers.” – Roland Wang “The increase in popularity amongst the Chinese ETFs has been a really big part of the story in gold, particularly over the last 12 months” – John Reade   About World Gold Council We are a membership organisation that champions the role gold plays as a strategic asset, shaping the future of a responsible and accessible gold supply chain. Our team of experts builds understanding of the use case and possibilities of gold through trusted research, analysis, commentary, and insights. We drive industry progress, shaping policy and setting the standards for a perpetual and sustainable gold market. You can follow the World Gold Council on Twitter at @goldcouncil and LinkedIn. Terms & Conditions | World Gold Council

The Mayor of Arcadia, Eileen Wang is under fire after her alleged former fiancé is convicted for being a Chinese spy. The late Jessie Jackson once read Dr. Suess's Green Eggs In Ham on Saturday Night Live.

Er is een groep vrouwen die het hele daten en relatie met mannen heeft opgegeven. Mannen zijn te emotioneel onvolwassen, gevaarlijk, irritant en gewoon een last. Waarom zou je het als vrouw nog überhaupt proberen? Heterofatalisme wordt dat genoemd. Maar dat geeft een groot probleem voor mannen, bovenop het feit dat mannen achterlopen op best wat vlakken. Hoe dat zit, waarom dat gebeurt, waar de maatschappij zich bewust van zou moeten zijn en wat in hemelsnaam Gooners zijn, daar hebben psychologen Thijs Launspach en Lennard Toma het over in deze aflevering.Bronnen:- Wu, Y., Wang, L., Tao, M., Cao, H., Yuan, H., Ye, M., ... & Zhu, C. (2023). Changing trends in the global burden of mental disorders from 1990 to 2019 and predicted levels in 25 years. Epidemiology and psychiatric sciences, 32, e63.- Twee knallers van artikelen van Laura Kemp - https://www.vn.nl/heterofatalisme-vrouwen-geven-het-op- https://www.vn.nl/de-porno-monopolie-van-pornhub- Check ook het boek The Boy-crisis van Warren Farrel- En de eerdere aflevering over de mannencrisis:- Waarom is Andrew Tate zo populair

  Welcome to the Conscious Millionaire Show - How to Become an Ultra-Performer. Now 3X week M / W / F with host JV Crum III.   Are you an Entrepreneur, Founder, or CEO? Committed to break into the Top 1% of Performance with current revenues $250K to $50M? Sign up for your Breakout...here's what's included in your complimentary session: (1) Define your #1 Ultra-Outcome - your break out goal (2) Find out your #1 block keeping you from it - and how to remove it  (3) Get 1-3 actionable steps to immediately use to scale bigger, faster     Schedule Your Breakthough Session Now     Join Host JV Crum III, with 2 exits and over 75M revenues in his companies, he is the Ultra-Performer Coach for 6- to 8-figure owners ready to join the top 1%.   Season 12 of the award-winning Conscious Millionaire Show. World's #1 conscious business and performance podcast for foundeers and entrepreneurs who want to become Ultra-Performers.    Access Conscious Millionaire Show     Millions of Listeners. 190 countries. Inc Magazine "Top 13 Business Podcasts" with over 3,000 episodes. Listen 3X a week.

  Welcome to the Conscious Millionaire Show - How to Become an Ultra-Performer. Now 3X week M / W / F with host JV Crum III.   Are you an Entrepreneur, Founder, or CEO? Committed to break into the Top 1% of Performance with current revenues $250K to $50M? Sign up for your Breakout...here's what's included in your complimentary session: (1) Define your #1 Ultra-Outcome - your break out goal (2) Find out your #1 block keeping you from it - and how to remove it  (3) Get 1-3 actionable steps to immediately use to scale bigger, faster     Schedule Your Breakthough Session Now     Join Host JV Crum III, with 2 exits and over 75M revenues in his companies, he is the Ultra-Performer Coach for 6- to 8-figure owners ready to join the top 1%.   Season 12 of the award-winning Conscious Millionaire Show. World's #1 conscious business and performance podcast for foundeers and entrepreneurs who want to become Ultra-Performers.    Access Conscious Millionaire Show     Millions of Listeners. 190 countries. Inc Magazine "Top 13 Business Podcasts" with over 3,000 episodes. Listen 3X a week.

Masterpiece Podcasts: Collection of Chinese Classic Novels

Masterpiece Podcasts: Collection of Chinese Classic Novels

Why does early breastfeeding position matter? Nancy and Barbara discuss one of their favorite topics with friend and colleague, IBCLC Rene Fisher. Whether you are talking about the starter position, laid back breastfeeding, or biological nurturing from Suzanne Colson, they all mean the same thing. Relax, lean back at a comfortable angle (not flat on your back), and place the baby tummy-to-tummy on the parent’s body. When this is done suddenly, the baby can move their body more easily, and many infant feeding reflexes are triggered, ensuring that at least one person knows what they are doing. Nancy discusses her experience improving breastfeeding practices at a Chicago-area hospital, and Rene shares her experiences with her own grandson, which made her a firm believer. Rene took this simple, time-saving technique back to her hospital on the East Coast, where it was a great success. Nancy’s ideas of adjusting your body, adjusting the baby, and adjusting the breast make it even easier to help families nurse easily and comfortably. As is known, changing hospital practice is not easy. Nancy and Rene share their wins and hurdles. There are three studies discussed in detail, which are listed below. Enjoy! Milinco 2020 (RCT): https://pubmed.ncbi.nlm.nih.gov/32248838/ Yin 2021 (RCT): https://pubmed.ncbi.nlm.nih.gov/33913745/ Wang 2021 (Meta-analysis): https://pubmed.ncbi.nlm.nih.gov/33761882/ The post All Things Breastfeeding Episode 107: Why Early Breastfeeding Positions Matter appeared first on The Breastfeeding Center of Ann Arbor.

In this episode of the AdTechGod Pod, Ying Wang, the General Manager of Xumo, shares her journey in the streaming television industry, discussing her career growth, the evolution of ad revenue, the significance of live sports, and the future of streaming. She emphasizes the importance of AI in personalizing user experiences and offers valuable advice for aspiring professionals in the industry. Takeaways Ying Wang's career path reflects her adaptability and pursuit of opportunities. The streaming industry has evolved significantly in terms of ad revenue and content distribution. Live sports present unique opportunities for engagement and monetization. Xumo aims to create a comprehensive ecosystem around live sports events. AI is integral to personalizing user experiences and optimizing advertising. The streaming landscape is becoming more democratized with new players emerging. Xumo's operating system approach differentiates it in the market. Building relationships and understanding the nuances of ad tech is crucial. The future of streaming will involve more personalized and immersive experiences. Continuous learning and challenging assumptions are key to career growth. Chapters 00:00 Ying Wang's Journey in Ad Tech 05:04 Evolution of Streaming and Advertising 09:55 The Impact of Live Sports on Streaming 14:03 Xumo's Future and Market Positioning 20:04 The Role of AI in Ad Tech 23:58 Advice for Aspiring Professionals in Streaming Learn more about your ad choices. Visit megaphone.fm/adchoices

Thanks for tuning in. Renew Church OC is a church for imperfect people only. Come visit us at: 1 Civic Center Cir Brea, CA 92821 | Renew Has 2 Main Service Times: 9AM and 10:45AM 9AM: Children, Youth and Main Service 10:45: Main Service, Sunday School and Childcare | For more information: www.renewchurchoc.com | For tax deductible giving to Renew: Www.renewchurchoc.com/give | For more resources: | Roy Kim developed a video series to help Sexual Addiction Sobriety Groups. www.newlegacycounseling.com/self-guided…iety-group/ | Roy and I host a 3 part series on Sexual Addiction in our podcast. Here is the first one; I would love to have you listen and give us some feedback. podcasts.apple.com/us/podcast/the-…i=1000610037470 | Pastor Wilson and Roy Kim MFT podcast podcasts.apple.com/us/podcast/the-…i=1000578749653 | Pastor Wilson and Nina's children's books series and adulting journal www.calledtobeproject.com

00:00 Intro01:12 Rubio, Wang outline rival visions in Munich04:09 High-stakes diplomacy before April05:44 Sec. Rubio: Europe, U.S. can build “new Western century”07:16 Alysa Liu, Eileen Gu eye Chinese politics differently09:25 Interview with Enes Kanter Freedom: Standing up for human rights12:31 Study: Over 2,000 CCP-linked groups in democracies15:15 Trump repeals 2009 endangerment finding21:02 Philippines balances U.S., China relations

In this episode of The Venture Capital Podcast (VC.fm), hosts Peter Harris and Jon Bradshaw talk with Wally Wang, Founding Managing Partner at Scale Asia Ventures and a Business Insider Seed 100 (2025) investor, about identifying AI winners early — and scaling them across the U.S. and Asia (Japan, Korea, APAC).Wally brings a unique mix of experience as a machine learning scientist (NYU / CMU / Microsoft), a former operator (YC-backed Pebble, acquired by Fitbit), and an enterprise founder who helped grow DataVisor (raised $150M+). Today, he backs AI infrastructure, enterprise AI agents, cybersecurity, developer tools, and robotics, with a strong cross-border thesis that helps founders expand globally and access strategic distribution partners in Asia.We discuss:How to evaluate “real” AI founders vs hypeAI moats: why product-market fit isn't enough anymoreWhat actually creates defensibility in enterprise AI (data, trust, workflows, integrations)Build vs buy in AI: when enterprises DIY vs purchase softwareWhy vertical AI agents are safer than horizontal AI wrappersCross-border expansion strategy: U.S. → Asia vs Asia → U.S.Robotics + physical AI opportunities and Asia's hardware advantageWhy enterprise + government budgets are still under-targetedFollow the PodcastInstagram: https://www.instagram.com/venturecapitalfm/Twitter: https://twitter.com/vcpodcastfmLinkedIn: https://www.linkedin.com/company/venturecapitalfm/Spotify: https://open.spotify.com/show/7BQimY8NJ6cr617lqtRr7N?si=ftylo2qHQiCgmT9dfloD_g&nd=1&dlsi=7b868f1b72094351Apple: https://podcasts.apple.com/us/podcast/venture-capital/id1575351789Website: https://www.venturecapital.fm/Follow Jon BradshawLinkedIn: https://www.linkedin.com/in/mrbradshaw/Instagram: https://www.instagram.com/mrjonbradshaw/Twitter: https://twitter.com/mrjonbradshawFollow Peter HarrisLinkedIn: https://www.linkedin.com/in/peterharris1Twitter: https://twitter.com/thevcstudentInstagram: https://instagram.com/shodanpeteYoutube: https://www.youtube.com/@peterharris2812

Credits: 0.25 AMA PRA Category 1 Credit™   CME/CE Information and Claim Credit: https://www.pri-med.com/online-education/podcast/frankly-speaking-cme-472 Overview: The transition from hospital to home is a valuable period for patients and clinicians. In this episode, we discuss which patients require follow-up, what should be reviewed during these appointments, and when follow-up should take place to help improve patient outcomes. Episode resource links: Anderson, T. S., Herzig, S. J., Marcantonio, E. R., Yeh, R. W., Souza, J., & Landon, B. E. (2024, April). Medicare transitional care management program and changes in timely postdischarge follow-up. In JAMA Health Forum (Vol. 5, No. 4, pp. e240417-e240417). American Medical Association. Anderson, T. S., Wilson, L. M., Wang, B. X., Steinman, M. A., Schonberg, M. A., Marcantonio, E. R., & Herzig, S. J. (2025). Medication Errors and Gaps in Medication Discharge Planning for Hospitalized Older Adults: A Prospective Cohort Study. Journal of general internal medicine, 1-10.   Balasubramanian, I., Andres, E. B., & Malhotra, C. (2025). Outpatient follow-up and 30-day readmissions: a systematic review and meta-analysis. JAMA Network Open, 8(11), e2541272-e2541272. Guest: Mariyan L. Montaque, DNP, FNP-BC Music Credit: Matthew Bugos Thoughts? Suggestions? Email us at FranklySpeaking@pri-med.com  The views expressed in this podcast are those of Dr. Domino and his guests and do not necessarily reflect the views of Pri-Med.

Credits: 0.25 AMA PRA Category 1 Credit™   CME/CE Information and Claim Credit: https://www.pri-med.com/online-education/podcast/frankly-speaking-cme-472 Overview: The transition from hospital to home is a valuable period for patients and clinicians. In this episode, we discuss which patients require follow-up, what should be reviewed during these appointments, and when follow-up should take place to help improve patient outcomes. Episode resource links: Anderson, T. S., Herzig, S. J., Marcantonio, E. R., Yeh, R. W., Souza, J., & Landon, B. E. (2024, April). Medicare transitional care management program and changes in timely postdischarge follow-up. In JAMA Health Forum (Vol. 5, No. 4, pp. e240417-e240417). American Medical Association. Anderson, T. S., Wilson, L. M., Wang, B. X., Steinman, M. A., Schonberg, M. A., Marcantonio, E. R., & Herzig, S. J. (2025). Medication Errors and Gaps in Medication Discharge Planning for Hospitalized Older Adults: A Prospective Cohort Study. Journal of general internal medicine, 1-10.   Balasubramanian, I., Andres, E. B., & Malhotra, C. (2025). Outpatient follow-up and 30-day readmissions: a systematic review and meta-analysis. JAMA Network Open, 8(11), e2541272-e2541272. Guest: Mariyan L. Montaque, DNP, FNP-BC Music Credit: Matthew Bugos Thoughts? Suggestions? Email us at FranklySpeaking@pri-med.com  The views expressed in this podcast are those of Dr. Domino and his guests and do not necessarily reflect the views of Pri-Med.

Aida Wang is a top-billing legal recruiter at Just Legal who specialises in private practice placements for bengoshi (Japan-qualified lawyers). With a unique background as a professional translator and interpreter between English and Mandarin Chinese, Aida brings a fresh perspective on bridging communication gaps - not just between languages, but between lawyers and law firms.Aida shares practical advice on deal sheets, career planning, and why speaking to a recruiter from day one of your legal career journey in Japan can change your career trajectory.If you enjoyed this episode and it inspired you in some way, we'd love to hear about it and know your biggest takeaway. Head over to Apple Podcasts to leave a review and we'd love it if you would leave us a message here!In this episode you'll hear:The critical importance of creating and maintaining a deal sheet from day one of your careerWhy you should speak to a recruiter early in your career, not just when you're actively lookingThe biggest misconception about Japanese bengoshi lawyers How Aida helps candidates and clients create compelling stories to help find a perfect matchAbout AidaAida Wang is a Tokyo-based legal recruiter specialising in Bengoshi (Japan-qualified lawyer) searches for private practice, with a particular focus on supporting  associates and counsels as they navigate the critical transition points in their legal careers.Currently a Principal Consultant at Just Legal, Aida works with both Japanese and international law firms, recruiting Japanese Bengoshi and foreign-qualified attorneys across a wide range of practice areas. She is known for her thoughtful, relationship-driven approach and for offering market insight that goes well beyond simply filling roles. In her first quarter at Just Legal, Aida quickly made her mark as a top biller which is a reflection of her proactive mindset, deep preparation, and ability to truly understand both candidates and clients.Before moving into legal recruitment, Aida spent over a decade working as a Chinese–English freelance translator and interpreter, including roles in media, film, and news translation. This earlier career laid the foundation for what has become a defining theme of her professional life: bridging gaps - between languages, cultures, expectations, and ultimately, legal careers. Her background in interpreting gives her a rare ability to listen carefully, read between the lines, and translate what lawyers want into what the market is really asking for.Aida holds a Bachelor's degree from National Chengchi University in Taiwan, along with a Master's degree in Interpreting and Translation from the University of Bath in the UK. She has also completed Japanese language studies at Keio University. Having lived and worked in Taiwan, the Bahamas, the United States, the UK, and Japan, she brings a genuinely global perspective to her work. She is a native speaker of Mandarin and English, with business-level Japanese, and regularly supports cross-border legal careers in the Japanese market.Through her conversations with Bengoshi across multiple practice areas, Aida frequently hears one recurring challenge: how to develop clients and bring in work before holding a partner title. This insight shapes much of her advisory work with senior associates who are thinking carefully about long-term career sustainability, visibility, and progression within private practice.Outside of work, Aida enjoys cooking and crafting with her eight-year-old son, a creative counterbalance to her professional life that reflects the same curiosity and care she brings to her career.Connect with AidaLinkedIn: https://www.linkedin.com/in/hsinyuaidawang/ Just Legal: https://www.justsearchgroup.com/justlegal/consultants/aida-wang LinksAfternoon Tea: https://www.afternoon-tea.net/ Connect with Catherine LinkedIn https://www.linkedin.com/in/oconnellcatherine/Instagram: https://www.instagram.com/lawyeronair

Misfits Makin' It is the podcast component of the misfit comedy shows produced by Lauren LoGiudice. Show dates and info at www.laurenlogiudice.com In this episode Lauren chats with with producer and First AD Drew Langer about the real grind behind great filmmaking. We talk about what he learned working alongside creatives like Jay Duplass, Mel Eslyn, Lynn Shelton, Bridget Everett, and Michael Strassner. Drew shares how creative tribes are built, why the Duplass motto is “no assholes,” and how kindness and preparation make for the best sets. We focus on Marcel the Shell with Shoes On, Somebody Somewhere, and The Baltimorons, exploring the courage it takes to choose sincerity over spectacle. It's a candid conversation about collaboration, humility, refining your craft, and why — as Drew puts it — the end result is just evidence of the grind. [Ep 50] CONNECT WITH DREW'S WORK: Instagram: @mountaindrewlanger To submit your story for Misfit Melodrama segments leave a voicemail at 646-WANG-0-X-1 or send us a message at www.laurenlogiudice.com/podcast. HOW TO SUPPORT THE PODCAST: Rate and review: Misfits trust other misfits to tell them what is good! Tell a friend: Word of mouth is the #1 way misfits learn about their next pod. Sponsor a podcast: Affordable for individuals and small businesses, also makes the perfect gift. Support this art directly with a podcast that's custom-tailored to you or your friends. Make it happen by reaching out to inthemidstprod@gmail.com. CONNECT WITH LAUREN LOGIUDICE: Instagram: @laurenlogi Twitter/TikTok/Threads: @laurenlogi Website: www.laurenlogiudice.com CONNECT WITH MISFIT COMEDY SHOWS AND PODCAST EPISODES: Instagram: @misfitcomedyco

Send a textA truck driver who can't stop asking questions, a friend who does the real fighting, and a sorcerer who waited 2,000 years for green eyes—there's a reason Big Trouble in Little China refuses to fade. We dive straight into why this cult classic still sparks debate: the self-aware camp, the electric synths, the rain-soaked neon, and the audacity of casting a swaggering, lovable bumbler as your poster hero.We break down Kurt Russell's Jack Burton as a brilliant misdirect—loud, lost, but weirdly brave—while Wang carries the narrative weight and the martial arts grace. That inversion lets John Carpenter poke holes in the American hero myth without losing the popcorn thrills. From practical monsters and the iconic knife throw to uneven but ambitious fight staging, we pull apart the craft that makes the movie sing. And yes, we talk about the moments that age poorly—forced flirtations, accented English used among Chinese characters—and how the satire lands alongside the stereotypes.Carpenter's fingerprints are everywhere: the synth-driven score that snaps scenes into focus, the pulpy color palette that turns Chinatown into a fever dream, and the long partnership with Russell that keeps risk-taking fun. We trace cultural ripples into 90s pop culture, Mortal Kombat parallels, and why this film bombed before becoming midnight-movie royalty. Two of us call it pure five-star joy; one of us gives it a thoughtful seven, intrigued enough to chase The Thing next. Whether you rewatch for the set design, the one-liners, or that thunder-lit ceiling shot, there's big charm in this little slice of cinematic chaos.Hit play, ride with the Pork Chop Express, and tell us: is Jack Burton a hero, a decoy, or the perfect mix of both? If you enjoy our take, subscribe, share with a friend, and drop your favorite line in the comments. Support the show

2020年高考（上海卷）英语听力 短对话1.Goodafternoon. Take a seat, please.下午好。请坐。Thankyou. I want to have my hair cut and dyed black today.谢谢！我今天想剪发，染黑发。Question:Where does the conversation most probably take place to?问题：这段对话最可能发生在哪里？2.Excuseme, where is the dining hall on the first floor of the dormitory building?请问，宿舍楼一层的食堂在哪里？ButI'm afraid it's closed now. Anyway, the coffee shop next to the library isstill open.恐怕现在已经关门了。对了，图书馆旁边的咖啡店还没关门。Question:Which place does the man imply the woman should go to?问题：男士暗示女士应该去哪个地方?3.Didyou see my passport? I can't find it anywhere in my handbag.你看到我的护照了吗？手提包里没有。Iremember you used it yesterday to pay for those shoes with your credit card.我记得昨天你拿着护照用信用卡买了那双鞋。Question:What is the woman looking for?问题：女士在寻找什么物品？4.That'sthe best lecture. I've really enjoyed it.这是最棒的一堂课。我真的很喜欢。Butyou fell asleep right after it started.但课刚开始你就睡着了。Question:What can we learn from the conversation?问题：我们能从对话中了解到什么？5.Shallwe go shopping or take some snacks?我们去购物还是带点零食？Whateveryou decide is cool with me.你决定就好了。Question:What does the man mean?问题：男士的话是什么意思？6. Look! Page after page of advertisements. It's a waste of time reading them.看！一张又一张的广告。看广告简直是浪费时间。Well,there are some that may cheat people into buying products. Many are quiteinformative.嗯，有一些广告可能会欺骗消费者购买产品。不过很多广告还是可以提供一些信息的Question:What is the woman's opinion of advertisements?问题：女士对广告的看法是什么？7. Hi, Wang. Welcome back. How is your training program in Shanghai?嗨，王先生。欢迎回来。你们在上海的培训项目怎么样?Itwas fruitful, although I didn't have much time to walk around as expected.虽然没有像预期的那样有空四处逛逛，但还是收获颇丰。Question:How does the man feel about his training program?问题：男士觉得他的培训行程怎么样？8.Wouldyou like to come round for dinner on my birthday? It's next Saturday, the 18th.我生日那天你愿意过来吃晚饭吗？是下周六，18号。Butfor the school charity sale on that very day, I would come.要不是那天学校有义卖活动，我一定会来的。Question:What does the man mean?问题：男士是什么意思？9.Youkept coughing all night. Didn't you take the pills?你整夜咳嗽。你没吃那些药吗？No, Ididn't. I couldn't see the point.没有吃。我不知道吃药有什么意义。Question:what does the man imply?问题：男士的意思是什么？10.Youwere on the phone for an hour.你打了一个小时的电话。Itwas my mom. Rarely do we run out of conversation.是我妈妈打来的。我们无话不谈。Question:What can we learn about the man?问题：关于这位男士我们能了解到什么信息？

Air Date - 11 February 2026On the advent of the Lunar “Year of the Fire Horse,” I welcome back Letao Wang to Destination Unlimited. Letao is a professional astrologist, tarot specialist, and the founder and spiritual counselor of The Healing Kingdom. He has been providing astrology, tarot, and numerology readings to clients in Hong Kong and overseas since 2015. He is the acclaimed author of the COVR award-winning Oracle of the Mythic Heroes and the CARTA award-winning Oracle of the Celestial Deities.His website is https://www.thehealingkingdom.com/, and he joins me this week to share his amazing path and new intuitive oracle card deck, Legends, Heroes, and Villains Oracle: A 36-Card Deck and Guidebook.#LetaoWang #VictorFuhrman #DestinationUnlimited #InterviewsConnect with Victor Fuhrman at https://victorthevoice.com/Visit the Destination Unlimited Show Page https://omtimes.com/iom/shows/destination-unlimited/Subscribe to our Newsletter https://omtimes.com/subscribe-omtimes-magazine/Connect with OMTimes on Facebook https://www.facebook.com/Omtimes.Magazine/ and OMTimes Radio https://www.facebook.com/ConsciousRadiowebtv.OMTimes/Twitter: https://twitter.com/OmTimes/Instagram: https://www.instagram.com/omtimes/LinkedIn: https://www.linkedin.com/company/2798417/Pinterest: https://www.pinterest.com/omtimes/

for lovers only PLAYLIST: Artist Song Release Released Label Raub Roy Jan 31 (Jamuary’d) January Mixtape 2026 Self Released Adolph Deutsch and His Orchestra Lonely Room (From “The Apartment”) Jazz Noir 2014 NOT NOW MUSIC Jandek It’s Only You The … Continue reading →

GuestDarren Wang, Founder & Chairman at OwlTing GroupCompany: OwlTing GroupTicker: OWLSWebsite:https://www.owlting.com/portal/?lang=enBioWith a background in cryptography with prior experience at tech companies in Silicon Valley, Darren founded OwlTing in 2010 to leverage blockchain technology to connect the world and drive industry transformation; today, OwlTing's core focus is building compliant stablecoin infrastructure for the future through OwlPay, advancing global payment and settlement capabilities for enterprises and platforms. The group also operates broader enterprise and consumer businesses, including blockchain services, hospitality and e-commerce platform.Darren holds a master's degree in Electrical Engineering from Boston University, completed the Owner/President Management Program (OPM 63) at Harvard Business School.Company Bio OBOOK Holdings Inc. is a global fintech company operating as the OwlTing Group (NASDAQ: OWLS). The Company was founded and is headquartered in Taiwan, with subsidiaries in the United States, Japan, Poland, Singapore, Hong Kong, Thailand, and Malaysia. The Company operates a diversified ecosystem across payments, hospitality, and e-commerce. In 2025, according to CB Insights' Stablecoin Market Map, OwlTing was ranked among the top 2 global players in the “Enterprise & B2B” category. The Company's mission is to use blockchain technology to provide businesses with more reliable and transparent data management, to reinvent global flow of funds for businesses and consumers and to lead the digital transformation of business operations. To this end, the Company introduced OwlPay, a Web2 and Web3 hybrid payment solution, to empower global businesses to operate confidently in the expanding stablecoin economy. For more information, visit https://www.owlting.com/portal/?lang=en.

durée : 00:14:56 - Le Disque classique du jour du jeudi 12 février 2026 - Troisième prix d'une édition 2025 du concours Chopin particulièrement relevée, la pianiste chinoise Zitong Wang a su se faire une place sous les projecteurs et risque de faire couler encore beaucoup d'encre à l'avenir avec ce premier disque d'enregistrements du plus fameux des concours de piano. Vous aimez ce podcast ? Pour écouter tous les autres épisodes sans limite, rendez-vous sur Radio France.

durée : 00:14:56 - Le Disque classique du jour du jeudi 12 février 2026 - Troisième prix d'une édition 2025 du concours Chopin particulièrement relevée, la pianiste chinoise Zitong Wang a su se faire une place sous les projecteurs et risque de faire couler encore beaucoup d'encre à l'avenir avec ce premier disque d'enregistrements du plus fameux des concours de piano. Vous aimez ce podcast ? Pour écouter tous les autres épisodes sans limite, rendez-vous sur Radio France.

Send a textI'm joined by Letao Wang, a professional counseling astrologist and spiritual counselor based in Hong Kong, for a grounded and eye opening conversation on Chinese astrology and the energetic shift ahead as we move into the Year of the Fire Horse in 2026.We begin by reflecting on the Year of the Wood Snake and the slower, more introspective energy that defined this cycle. Letao explains how the transition into the Fire Horse year marks a powerful change in pace, bringing faster movement, heightened intensity, and opportunities for rapid transformation. In this episode: • The shift from Wood Snake energy to Fire Horse energy and what that means emotionally and energetically• How fire years can accelerate change and where they can create burnout if we move too fast• How different Chinese zodiac signs may experience 2026 differently• Practical guidance for navigating Lunar New Year and the months ahead with intention and balanceFind the New Oracle Deck: HERE Follow Letao On Instagram: HERE Find Jess below!Website: Simply Jess Skincare SIMPLY JESS SKINCARE:Each and every product is naturally derived, highly concentrated and most importantly, super performing! Every product was born out of a need to have a truly pure product that met my high standards for efficacy. Subscribe to Our Newsletter! You can take 20% off Your Order of our all natural skincare line with code: PODCAST Shop Now! Favorite Supplements for Health and Fat loss: Click HERE My favorites are the Power Greens, Digestive Enzymes and Brain Power Favorite Mouth and Face Tape- Use Code JESSICAITURZAETA15 for 15% off Click Here Mushroom Coffee-15% off with Code: SIMPLYJESSSKINCARE15 Click HereEmail Us! jess@learningtoglow.comFollow us! Instagram Tik Tok

Some of China's largest technology companies have spent tens of billions of yuan this year to push artificial intelligence initiatives for the upcoming Spring Festival, marking their most significant effort yet to take AI applications out of labs and into the daily lives of a nation of more than 1.4 billion consumers.今年，中国一些大型科技公司已投入数百亿元，在即将到来的春节期间推广人工智能应用。这是他们迄今为止最大的一次努力，旨在将AI应用带出实验室，融入超14亿消费者的日常生活。The move could potentially give China an early lead in large-scale consumer AI adoption, which may be difficult for its rivals in the United States to replicate, industry experts said.业内专家表示，此举可能让中国在大规模消费者AI应用上率先一步，美国竞争对手或难以效仿。At the center of this effort is Alibaba's Qwen app, which announced a 3 billion yuan ($420 million) holiday campaign starting on Friday. The campaign offers users free food, retail and services, but only if they make purchases through the app's AI-assisted ordering system.阿里巴巴的"通义千问"应用是此番推广的核心，该应用2日宣布开启总价值30亿元的新春活动。这项活动为用户提供免费食品、零售和服务，但前提是他们必须通过应用的AI点单系统进行购买。For example, users could buy a cup of milk tea or coffee for as little as 0.01 yuan, an offer that has sparked a social media frenzy. Many consumers joked online that they were drinking their first "AI milk tea".例如，用户可以花0.01元购买一杯奶茶或咖啡，这一活动在社交媒体上掀起热潮。许多消费者在网上开玩笑说，这是自己人生中的第一杯"AI奶茶"。Alibaba's wider ecosystem, including Taobao flash sales, travel platform Fliggy, ticketing service Damai, grocery chain Hema and payment service Alipay are also participating in the campaign by linking AI prompts directly to ordering and payment systems.阿里巴巴更广泛的应用生态系统也参与了活动，包括淘宝闪购、旅游平台飞猪、票务服务商大麦、生鲜超市盒马和支付宝，将AI提示直接链接到订购和支付系统中。Wang Peng, a researcher at the Beijing Academy of Social Sciences, said: "The move is not simply promotional largesse. It is a behavioral experiment aimed at lowering the cost of trials to near zero and habituating users to use AI for decision-making and transactions."北京市社会科学院研究员王鹏说："此举并非简单的营销推广，而是一项行为实验，旨在将试错成本降至近乎零，使用户逐渐习惯于用人工智能进行决策和交易。"Among the other players, Tencent Holdings' Yuanbao AI assistant distributed 1 billion yuan in digital red envelopes while testing new AI social features. Baidu Inc distributed 500 million yuan in incentives within its core Baidu app, encouraging a user shift from "search" to "ask AI".在其他厂商中，腾讯的"元宝"AI助手在测试新AI社交功能时，分发了10亿元的数字红包。百度则在其核心的百度应用中提供了5亿元的奖励，鼓励用户从"搜索"转向"问AI"。According to Wang, the researcher, this Spring Festival may become a turning point where ordinary users, at scale, form the habit of turning to AI when they need something.在王鹏看来，今年春节可能成为一个转折点，普通用户开始普遍养成需要什么就去找AI的习惯。While Chinese firms are integrating AI into food delivery, travel booking, entertainment and retail, US companies are focusing more on workplace productivity and software automation.当中国企业将AI整合到外卖、旅游预订、娱乐和零售中时，美国企业更关注工作场所的生产效率和软件自动化。Wang emphasized that China's digital infrastructure, including its large population of mobile internet users, deeply entrenched mobile payment systems, and mature online-to-offline commerce networks, gives the country a natural advantage.王鹏强调，中国的数字基础设施具有天然优势，包括大量的移动互联网用户、深度渗透的移动支付系统，以及成熟的线上线下商业网络。"These allow AI systems not only to suggest actions but also to execute payments and services within a closed loop — a level of integration that is harder to achieve in more fragmented Western digital markets," he added.这些优势使AI系统能够在闭环内不仅提供行动建议，还能执行支付和服务，而这种整合水平在数字市场较为分散的西方国家较难实现。Behavioral change消费习惯改变However, Pan Helin, a member of an expert committee under the Ministry of Industry and Information Technology, warned that heavy subsidies do not guarantee lasting behavioral change.不过，工信部信息通信经济专家委员会委员盘和林警告说，高额补贴并不能保证消费习惯的改变。"Holiday red envelopes and free offers can drive a temporary surge, but the real test comes after the incentives fade. The key question is whether users will still order drinks or plan trips via AI when there are no discounts."节日红包和免费活动可以带来暂时的热潮，真正的考验是在福利活动结束后。关键的问题是，当没有折扣时，用户是否还会通过AI订购饮料或计划旅行。"Only AI products that solve real problems and integrate into everyday life will endure. For China's tech giants, the real test of turning trial into habit is only beginning," he said.只有能解决实际问题并融入日常生活的AI产品才能持久。对于中国科技巨头而言，将尝试变成习惯的真正考验才刚刚开始。"frenzy /ˈfren.zi/狂热，疯狂promotional largesse /prəˈməʊ.ʃən.əl lɑːrˈʒes/促销优惠/推广让利temporary surge /ˈtem.pər.ər.i sɜːrdʒ/暂时激增/短期热潮incentive /ɪnˈsen.tɪv/激励措施/奖励

Hosted by Dr. Lauren Kim, this episode explores the most downloaded Radiology article of 2025 with guests Dr. Carolyn Wang, Dr. Allison Ramsey, and Dr. David Lang, focusing on updated consensus guidance for managing hypersensitivity reactions to iodinated contrast media. The discussion highlights major changes in clinical practice, including more selective use of corticosteroid premedication and switching contrast agents when feasible to reduce the risk of recurrent reactions and standardize patient care. Management and Prevention of Hypersensitivity Reactions to Radiocontrast Media: A Consensus Statement from the American College of Radiology and the American Academy of Allergy, Asthma & Immunology. Wang et al. Radiology 2025; 315(2):e240100.

Our guest this week, Alvin Wang Graylin spent 35 years in senior leadership roles across HTC, IBM, and other major tech companies. He ran HTC's VR division, came out of the famous HIT Lab, now teaches at MIT, holds a fellowship at Stanford, and just published a paper called "Beyond Rivalry" proposing a seven-point plan for deescalating US-China AI tensions and building a global safety net before the economy breaks. His thesis: America is the fastest in the AI race and the least prepared for what it's creating—a cliff where human labor theory of value collapses, capital concentration accelerates, and 40% of the population living month to month faces chaos.The conversation becomes a wide-ranging debate between Alvin, Charlie, and Rony about whether AGI will be benevolent by default (Alvin's position: research shows smarter AI seeks global coherence and becomes less controllable by individual humans, which may actually make it safer) or whether benevolence must be designed in from scratchAI XR News You Should Know: Elon Musk merges SpaceX, xAI, and X into a single entity—Alvin dismantles the space data center concept with physics (vacuum cooling is a myth, micro-meteorite collisions would destroy hardware daily, and energy is only 10% of data center costs). Amazon invests $50 billion in OpenAI that round-trips back to AWS. Alphabet breaks revenue records at $400 billion but spooks investors by disclosing $90 billion in AI spending. ElevenLabs raises $500 million at $11 billion valuation. Rony's SynthBee hits unicorn status with $100 million raised at a multi-billion dollar valuation. Alvin warns the AI bubble dwarfs the dot-com era (298 companies raised $24 billion total during dot-com; OpenAI alone is raising that in a single private round) and predicts OpenAI may implode before going public.Key Moments Timestamps:[00:04:47] SpaceX/xAI/X merger: Rony calls it Elon's "return to Tony Stark form"[00:06:41] Alvin dismantles space data centers with physics: vacuum cooling myth, micro-meteorites, $7K/kg launch costs[00:10:04] Amazon's $50B investment in OpenAI as a round-trip to AWS; the scam economy[00:11:26] Alvin predicts OpenAI may implode before going public[00:14:23] Alvin on 35 years in AI: the technology is transformational but everyone's making a commodity product[00:17:04] The AI bubble dwarfs dot-com: $24B total vs. single private rounds today[00:19:04] Rony's contrarian: the $110 trillion global economy is what's being bet against[00:21:06] Labor theory of value collapses: what happens when humans exit the production cycle[00:23:00] America is fastest in the AI race and least prepared; 40% live month to month[00:24:00] Alvin's Stanford paper "Beyond Rivalry": a CERN for AI and global data pool[00:28:00] Davos reflections: the rest of the world is more rational than America[00:34:00] Chinese vs. American culture: reverence for teachers, respect for elders[00:42:00] Alvin's "Abundant" framework: valuing human dignity over production after AGI[00:44:22] The great debate: will AGI find benevolence naturally (Alvin) or must it be designed in (Rony)?[00:47:00] Rony on risk: AGI systems are unverifiable, untestable, and we cannot take the chanceListen to the full episode and subscribe to the AI XR Podcast for weekly conversations at the intersection of AI, XR, and the future of humanity.This episode is brought to you by Zappar, creators of Mattercraft—the leading visual development environment for building immersive 3D web experiences for mobile headsets and desktop. Build smarter at mattercraft.io.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Chinese Foreign Minister Wang Yi will visit Hungary on Wednesday and travel to Germany to attend the 62nd Munich Security Conference. Wang will deliver a speech at the China session of the world's leading forum on security issues.

One of the biggest reasons people aren't getting married is that they can't find the right person. But how do you find the right person? Joseph Holmes and Nathan Clarkson discuss with sociologist and researcher Dr. Wendy Wang. References and resources: Marriage rates dropping: https://www.theatlantic.com/ideas/archive/2025/02/america-marriage-decline/681518/ Is having a boyfriend embarassing? https://www.vogue.com/article/is-having-a-boyfriend-embarrassing-now Majority want to marry but can't find the right person: https://ifstudies.org/blog/why-americans-arent-getting-married-and-having-kids-and-how-to-fix-that Websites The Overthinkers: theoverthinkersjournal.world Nathan Clarkson: nathanclarkson.me Joseph Holmes: https://linktr.ee/JosephHolmes Wendy Wang: https://ifstudies.org/about-us/wendy-wang

Join the Fantasy Couriers as JJ Wang leads this week's dynamic discussion, delving into the potential shift of the Super Bowl to Saturday. The episode also covers cutting-edge fantasy football strategies, pivotal NFL coaching changes, and spirited sports debates.Fast Draft: Join and use code COURIERS for deposit match up to $50!! https://fastdraft.app/ Website with Links & all The Fantasy Couriers' Rankings:  https://www.thefantasycouriers.com/ Spotify: https://open.spotify.com/show/3JgcXENPRnlcX5RMgwsNlO?si=5cb6b49ecfc9420a Apple Podcasts: https://podcasts.apple.com/us/podcast/the-fantasy-couriers/id1573810445?mt=2&id=1573810445 YouTube: https://www.youtube.com/channel/UCenPosjOxg1MYQ8TFd5RP1A JOIN COURIER NATION on Facebook: https://www.facebook.com/thefantasycouriers #DJDove79 #TheFantasyCouriers #SuperBowlSaturday #NFLDebate #FantasyFootball #JJWang #CliffKingsbury #NFLCoaching #HallOfFame #FootballStrategy #SportsTalk #TheFantasyCouriers #fun #football #nflnews  #nflfantasy #FantasyFootball #fantasypros #spotify #IHeartRadio #TuneInpodcasts #AmazonPodcasts #applepodcasts #youtubemusic #Fantasyfootball #podcast #nfl #fantasy #touchdown  #nfl #fantasypros #trendingpodcast #trending #FUN  #JJwang79 Celebration Music by victor ejidike from Pixabay

Today, the podcast gets to Wang Wei and a Buddhist poem he wrote with the eye of a painter. Wang Wei is the least popular of the three High Tang poets, at least, since the Song Dynasty, but, back in the day, he was the most popular, more popular than Li Bai and Du Fu. We'll travel to his empty mountain and see if we aren't too disturbed by women doing the laundry to learn a bit about Chinese poetry.  Living in the Mountains on the Cusp of Fall Empty mountain after a new rain,  The air is late, fall is coming The bright moon shines amid the pines, the clear stream's water flows over a rock.  Hubbub in the bamboo, the washing lady returning the fishing boat pushing through lotuses.  And then it happens that the flowers of spring die, Me, a hermit, I can hang here for a while. 山居秋暝 空山新雨後，天氣晚來秋。 明月松間照，清泉石上流。 竹喧歸浣女，蓮動下漁舟。 隨意春芳歇，王孫自可留。  

In this powerful episode, Ray Powell and Jim Carouso sit down with Yaqiu Wang, a leading human rights advocate and fellow at the University of Chicago's Forum for Free Inquiry and Expression. Born and raised in China, Wang offers a rare, insider perspective on what it really means to live under Xi Jinping's surveillance state - and why the Chinese Communist Party's (CCP) domestic repression is no longer just a “China problem,” but a direct threat to global freedom and Indo-Pacific security.Most Westerners assume Chinese citizens have struck a “grand bargain” - trading freedom for economic prosperity. Wang dismantles this myth, revealing a population that never agreed to this trade-off but is coerced into silence by a sophisticated apparatus of fear. She explains how the CCP exports its model of digital authoritarianism to countries across Southeast Asia, Africa, and Latin America, embedding surveillance tools into “smart city” projects that threaten democratic norms worldwide.Key Topics Discussed:The Surveillance State: Wang describes the psychological toll of living in a society where every digital interaction is monitored, leading to deep-seated self-censorship that follows Chinese citizens even after they emigrate to the West.The WeChat Trap: Discover how the “super app” WeChat functions as a Trojan horse for CCP influence, effectively holding the Chinese diaspora hostage by controlling their primary news source and connection to family back home.Xinjiang & Human Rights: An in-depth look at the mass internment of Uyghurs, the predictive policing algorithms that flag innocent behaviors (like buying gym weights) as terrorist threats, and the heartbreak of watching the U.S. retreat from its role as a global champion of human rights.Transnational Repression: How Beijing's reach extends far beyond its borders, harassing dissidents on foreign soil and pressuring foreign governments to silence critics.Tune in to understand why the fight for human rights in China is inextricably linked to the national security of the United States and its allies.About the Guest:Yaqiu is a prominent researcher and activist who previously led China research at Human Rights Watch and Freedom House. She has testified before the U.S. Congress on issues ranging from internet censorship to women's rights and continues to be a vocal advocate for the Chinese people despite personal risks.

Welcome to another episode of Christopher Lochhead: Follow Your Different, featuring the legendary Ray Wang. In this memorable conversation, Christopher and Ray dive deep into the latest developments shaping the world of technology, business, and careers. From dissecting recent tech earnings from giants like Apple, Meta, Tesla and Microsoft to sharing insights from Davos and contemplating the implications of AI for the future of work and entrepreneurship. This episode delivers high-caliber analysis and practical takeaways for anyone navigating today’s rapidly evolving landscape. You're listening to Christopher Lochhead: Follow Your Different. We are the real dialogue podcast for people with a different mind. So get your mind in a different place, and hey ho, let's go. Lessons from Davos and the New Economic Realities Returning from a bustling Davos, Ray Wang shares his observations on how global leaders and executives are tackling an era defined by uncertainty, rapid technology adoption and a relentless pursuit of efficiency. One of Ray's core takeaways is the prevailing theme of “margin compression,” where even the world's largest corporations are working harder than ever just to achieve modest growth. Companies are now measured by their ability to scale exponentially, as illustrated by India's ISRO launching rockets at a fraction of NASA's cost, fundamentally altering competitive dynamics across industries. Ray explains that the rise of AI turbocharges this transformation by opening up “infinite possibilities.” Companies no longer just compete on physical or financial assets, but on their ability to harness vast data resources, quickly innovate and make sharp strategic choices about what problems to solve—and, crucially, what not to do. Privacy challenges, especially for companies like Apple, arise in this new era, making it difficult to deliver world-class AI solutions while maintaining rigorous data protection standards. Both Christopher and Ray emphasize that managing growth, inflation and investment are more complex than ever, with the U.S. outpacing much of the world in GDP growth, yet operating in a global environment rife with policy and market uncertainties. AI, Tech Earnings, and the Rise of the New IPO Era The conversation pivots to the massive investment and exuberance surrounding generative AI and tech infrastructure. Ray points out that while there are fears about overbuilding capacity or creating a circular funding loop among AI companies, there is still significant real opportunity. The current phase has seen enormous capital pour into building data centers and scalable AI platforms. Landmark IPOs from OpenAI, Databricks and others are expected to reshape the tech landscape. Despite market fluctuations and some outsized reactions to earnings, the fundamentals for big tech remain robust. Companies like Apple have solidified their status as luxury brands, even as others like Tesla and Meta retool and pivot to sustain long-term relevance and unlock new revenue streams such as robotics and energy. At the structural level, venture capital itself is in flux. Many VC firms have become indistinguishable from private equity, constrained both by too much and too little available capital relative to the demands of today's tech startups. The gap between small angel, family office, or solo GP funds and the mega funds has widened so much that the “middle” has all but disappeared. It is now entirely possible for one-person companies, through the leverage of AI and autonomous agents, to achieve scale and revenues previously thought impossible. Ray predicts it is likely we will see a single founder build a billion-dollar annual revenue company within the next five years, echoing the democratization and disruption that generative AI promises. Building Legendary Companies and Careers in the Age of AI Christopher and Ray close their discussion by exploring what all these rapid changes mean for leaders and individuals. For CEOs and entrepreneurs, the formula for thriving is clear but audacious. Leaders must design their companies to be fully autonomous and authentic, constantly reinventing their business as if they were attempting to disrupt themselves. Boards need to be stacked with people who grasp the new fundamentals: margin compression, exponential scale, and infinite possibilities brought by AI. Combining domain expertise with technical agility is more critical than ever, as the fusion of seasoned judgment and lightning-fast, innovative execution is where breakthroughs occur. On a personal level, Ray stresses that knowledge and execution are becoming commodities, rapidly automated by advances in AI. To stay relevant, individuals must become “macro analysts,” adept at synthesizing big ideas and patterns, deeply immersed in experimenting with new technologies and surrounded by others who are passionate about their own crafts. The traditional playbooks for career building, education, and even family strategies are being rewritten in real-time. The U.S. faces global competition for talent and innovation, and entrepreneurial energy is no longer confined to Silicon Valley or New York. The nature of immigration, investment and even educational choices must be reconsidered for new generations. In a world where the location and structure of opportunity are shifting, only those who embrace change, foster diverse collaborations and pursue purpose will continue to define the next era of legendary achievement. As both Christopher and Ray reflect, living and leading like Rob Burgess—embracing boldness, curiosity and authenticity—remains the path to being truly legendary in this rapidly changing world. To hear more from Ray Wang and his updates on the world of Tech and AI, download and listen to this episode. Bio R “Ray” Wang (pronounced WAHNG) is the Founder, Chairman, and Principal Analyst of Silicon Valley based Constellation Research Inc. He co-hosts DisrupTV, a weekly enterprise tech and leadership webcast that averages 50,000 views per episode and authors a business strategy and technology blog that has received millions of page views per month.  Wang also serves as a non-resident Senior Fellow at The Atlantic Council's GeoTech Center. Since 2003, Ray has delivered thousands of live and virtual keynotes around the world that are inspiring and legendary. Wang has spoken at almost every major tech conference. His ground-breaking bestselling book on digital transformation, Disrupting Digital Business, was published by Harvard Business Review Press in 2015.  Ray's new book about Digital Giants and the future of business titled, Everybody Wants to Rule the World will be released July 2021 by Harper Collins Leadership. Wang is well quoted and frequently interviewed in media outlets such as the Wall Street Journal, Fox Business News, CNBC, Yahoo Finance, Cheddar, CGTN America, Bloomberg, Tech Crunch, ZDNet, Forbes, and Fortune.  He is one of the top technology analysts in the world. Links Follow Ray Wang! Website | Twitter | LinkedIn | Constellation Research | DisrupTV We hope you enjoyed this episode of Christopher Lochhead: Follow Your Different™! Christopher loves hearing from his listeners. Feel free to email him, connect on Facebook, X (formerly Twitter), Instagram, and subscribe on Apple Podcast / Spotify!

What if building wealth didn't mean starting from scratch—or doing it alone? In this episode Syama sits down with investor, advisor, and mentor Jeanne Wang to explore a powerful (and still under-discussed) path to wealth: buying and operating existing businesses. Jeanne shares her journey from growing up in a small Pennsylvania farm town, to Wharton, to decades in private equity—before intentionally shifting her focus toward supporting women as owners, operators, and investors. Together, Shama and Jeanne unpack the emotional, financial, and identity-level decisions that shape women's wealth journeys, especially mid-career. This is a conversation about legacy, risk, confidence, and why women owning businesses isn't just good for returns—it's good for communities. Key Topics: Why signing bonuses and performance guarantees matter more than base salary in your first negotiation The power of choosing diverse experience and strong culture over the highest-paying job offer How to evaluate career opportunities through the lens of working with highly motivated people The critical difference between building a business from scratch and buying an established one How to build wealth through alternative assets while maintaining a risk-averse mindset The importance of financial literacy education and creating investment competitions with your family Why legacy is measured by the number of women you help into ownership, not personal accolades Connect with Jeanne Wang online: Website: https://www.villagesearchpartners.com  LinkedIn: https://www.linkedin.com/in/jeannewang1/  Find more from Syama Bunten: Attend a Salon near you: wealthcatalyst.com/salons Instagram: https://www.instagram.com/syama.co/?hl=en Join Syama's Substack: https://thewealthcatalystwithsyama.substack.com/ Website: https://wealthcatalyst.com Download Syama's Free Resources: https://wealthcatalyst.com/resources Wealth Catalyst Summit: https://wealthcatalyst.com/summits Speaking: https://syamabunten.com Big Delta Capital: www.bigdeltacapital.com  

Most people never escape the circumstances they're born into — Dr. Ming Wang escaped Communist China with $50 and went on to restore sight to millions. In this episode of The Root of All Success, Jason Duncan sits down with Dr. Ming Wang, a Harvard- and MIT-trained physician, laser eye surgeon, and the inventor who donated a multi-million dollar patent to help blind children worldwide. Dr. Wang breaks down how he redefined success from outcomes to effort, why he chose purpose over profit, and how perseverance rooted in faith carried him from darkness to light — both literally and spiritually. This conversation dives into: Why he completed three years of high school in weeks to escape labor camps How earning both an MD and a PhD made him a one-of-a-kind surgeon The moment he chose to donate his invention instead of cashing in Why success should be measured by effort, not results How his conversion from atheism to Christianity transformed his purpose The business lesson medical school never taught him about serving your audience first If you're facing impossible odds, searching for deeper purpose in your work, or need to redefine what success means to you — this episode will challenge everything you thought you knew about achievement.

We sit down with researcher Wendy Wang to unpack how AI companionship, porn, and endless scrolling are reshaping dating, marriage, and mental health. We share data-backed risks and simple house rules that protect attention, intimacy, and commitment.• one in four young adults saying AI could replace romance• how frictionless AI partners create unrealistic expectations• links between screen time, lower satisfaction, and fewer date nights• scams targeting loneliness with AI-crafted personas• class and education divides in openness to AI partners• why online choice overload delays commitment• practical phone-free zones and bedroom boundaries• drawing an emotional line: no AI for comfort or venting• replacing 50-50 scorekeeping with patience and generosity• building rituals that strengthen connection and reduce technoferenceVisit our site for FREE relationship resources and regular giveaways: Strongermarriage.org Podcast.stongermarriage.org YouTube: https://www.youtube.com/@StrongerMarriageLife TikTok: https://www.tiktok.com/@strongermarriagelife Instagram: https://www.instagram.com/strongermarriagelife/ Facebook: https://www.facebook.com/strongermarriage/ Facebook Marriage Group: https://www.facebook.com/groups/770019130329579 Dr. Dave Schramm: http://drdaveschramm.com http://drdavespeaks.com Dr. Liz Hale: http://www.drlizhale.com/

One spring evening in 2024, science journalist Rachel Gross bombed at karaoke. The culprit was a bleed in a fist-sized clump of neurons tucked down in the back and bottom of her brain called the Cerebellum. A couple weeks later, her doctors took a piece of it out, assuring her it just did basic motor control - she might be a bit clumsy for a while, but she'd still be herself. But after that surgery Rachel did not feel quite like herself. So she dove into the dusty basement of the brain (and brain science)  to figure out why. What Rachel found was a new frontier in neuroscience. We learn what singing Shakira on stage has to do with reaching for a cup of coffee  — and why the surprising relationship between those two things means we may need to rethink what we think about thinking.Special thanks to Warzone Karaoke at Branded Saloon, the Computer History Museum for their archival interview with Henrietta Leiner, either the choir “Singing Together, Measure by Measure” or the Louis Armstrong Department of Music Therapy which houses it, Daniel A. Gross (... and Shakira?)EPISODE CREDITS: Reported by - Rachel GrossProduced by - Sindhu GnanasambandanEPISODE CITATIONS:Articles -“Ignoring the cerebellum is hindering progress in neuroscience.” (https://pubmed.ncbi.nlm.nih.gov/39934082/), by Wang et al, 2025“The cerebellum and cognition.” (https://pubmed.ncbi.nlm.nih.gov/29997061/), by Schmahmann JD. Neurosci Lett. 2019“How did brains evolve?” (https://pubmed.ncbi.nlm.nih.gov/11805823/), by Barton RA., Nature. 2002Books - Vagina Obscura (https://www.rachelegross.com/book), by Rachel E. GrossSign up for our newsletter!! It includes short essays, recommendations, and details about other ways to interact with the show. Signup (https://radiolab.org/newsletter)!Radiolab is supported by listeners like you. Support Radiolab by becoming a member of The Lab (https://members.radiolab.org/) today.Follow our show on Instagram, Twitter and Facebook @radiolab, and share your thoughts with us by emailing radiolab@wnyc.org.Leadership support for Radiolab's science programming is provided by the Gordon and Betty Moore Foundation, Science Sandbox, a Simons Foundation Initiative, and the John Templeton Foundation. Foundational support for Radiolab was provided by the Alfred P. Sloan Foundation.

This week on Sinica, I speak with Afra Wang, a writer working between London and the Bay Area, currently a fellow with Gov.AI. We're talking today about her recent WIRED piece on what might be China's most influential science fiction project you've never heard of: The Morning Star of Lingao (Língáo Qǐmíng 临高启明), a sprawling, crowdsourced novel about time travelers who bootstrap an industrial revolution in Ming Dynasty Hainan. More than a thought experiment in alternate history, it's the ur-text of China's "Industrial Party" (gōngyè dǎng 工业党) — the loose intellectual movement that sees engineering capability as the true source of national power. We discuss what the novel reveals about how China thinks about failure, modernity, and salvation, and why, just as Americans are waking up to China's industrial might, the worldview that helped produce it may already be losing its grip.5:27 – Being a cultural in-betweener: code-switching across moral and epistemic registers 10:25 – Double consciousness and converging aesthetic standards 12:05 – "The greatest Chinese science fiction" — an ironic title for a poorly written cult classic 14:18 – Bridging STEM and humanities: the KPI-coded language of tech optimization 16:08 – China's post-Industrial Party moment: from "try hard" to "lie flat" 17:01 – How widely known is Lingao? A cult Bible for China's techno-elite 19:11 – From crypto bros to DAO experiments: how Afra discovered the novel 21:25 – The canonical timeline: compiling chaos into collaborative fiction 23:06 – Guancha.cn (guānchá zhě wǎng 观察者网) and the Industrial Party's media ecosystem 26:05 – The Sentimental Party (Qínghuái Dǎng 情怀党): China's lost civic space 29:01 – The Wenzhou high-speed rail crash: the debate that defined the Industrial Party 33:19 – Controlled spoilers: colonizing Australia, the Maid Revolution, and tech trees 41:06 – Competence as salvation: obsessive attention to getting the details right 44:18 – The Needham question and the joy of transformation: from Robinson Crusoe to Primitive Technology 47:25 – "Never again": inherited historical vulnerability and the memory of chaos 49:20 – Wang Xiaodong, "China Is Unhappy," and the crystallization of Industrial Party ideology 51:33 – Gender and Lingao: a pre-feminist artifact and the rational case for equality 56:16 – Dan Wang's Breakneck and the "engineering state" framework 59:25 – New Quality Productive Forces (xīn zhì shēngchǎnlì 新质生产力): Industrial Party logic in CCP policy 1:03:43 – The reckoning: why Industrial Party intellectuals are losing their innocence 1:07:49 – What Lingao tells us about China today: the invisible infrastructure beneath the hot showerPaying it forward: The volunteer translators of The Morning Star of Lingao (English translation and GitHub resources)Xīn Xīn Rén Lèi / Pixel Perfect podcast (https://pixelperfect.typlog.io/) and the Bǎihuā (百花) podcasting community Recommendations:Afra: China Through European Eyes: 800 Years of Cultural and Intellectual Encounter, edited by Kerry Brown; The Wall Dancers: Searching for Freedom and Connection on the Chinese Internet by Yi-Ling Liu Kaiser: Destiny Disrupted: A History of the World Through Islamic Eyes by Tamim AnsarySee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.