Podcasts about alibaba

Welcome to the latest episode of our podcast, where we're diving into the fascinating world of Amazon selling with our special guest, Justin Cao. Justin is an Amazon expert who has transitioned from a 9 to 5 job to achieving financial freedom through mastering the art of selling on the platform. Melanie Johnson, our host and a founder of Elite Online Publishing, sits down with Justin to uncover the secrets behind his success and the strategies that can help you turn a side hustle into your main source of income. Learn More: https://amzshifu.com/

En el episodio 663 del podcast Diario en Movimiento hacemos un resumen de las principales noticias tecnológicas de los últimos 7 días. 05/05 Google irrumpe en la producción cinematográfica y televisiva con la iniciativa “100 Zeros” para impulsar sus tecnologías. 05/05 Adiós a Skype: el pionero de las videollamadas cierra tras más de dos décadas de servicio. 06/05 Apple revela cómo influye el ciclo menstrual en los hábitos de ejercicio, según un estudio con más de 110.000 participantes. 06/05 Nvidia planta cara a las restricciones: rediseña chips para seguir operando en China. 07/05 Software de la semana: Monday.com. Gestión de proyectos visual y flexible. E 07/05 Alibaba refuerza su estrategia de comercio electrónico con una alianza clave con RedNote. 07/05 Zoox detiene las pruebas y retira su robotaxi tras un accidente en Las Vegas. 08/05 Meta quiere automatizar toda la publicidad con IA: miles de anuncios de prueba inundarán Facebook, Instagram y Threads. 08/05 Apple desafía a Google con planes para integrar opciones de búsqueda con IA en Safari. 09/05 Estrenos de plataformas de streaming de la primera mitad de mayo. 09/05 Innovaciones en la agricultura para un futuro sostenible. 09/05 Netflix rediseña su app de TV y lanza la búsqueda por IA conversacional en iOS. 10/05 Intento de extorsión a distritos escolares de EE. UU. tras un ciberataque a PowerSchool: la compañía admite haber pagado un rescate. 11/05 Fidji Simo abandona Instacart y se incorpora a OpenAI como nueva directora ejecutiva de Aplicaciones.

In this eye-opening episode of The Daily Signal podcast, Rob Bluey interviews Chris Iacovella, CEO of the American Securities Association. Iacovella recently testified before Congress about a disturbing financial reality many Americans are unaware of. Iacovella explains how Wall Street exploits multiple loopholes that allow companies controlled by the Chinese Communist Party (CCP) to access American capital markets, despite laws prohibiting foreign ownership of Chinese companies. Key points discussed: How American investments are unknowingly funding CCP activities, including the internment of Uyghurs, PLA weapons systems, cyber attacks against the U.S., and what the State Department has classified as genocide The "Variable Interest Entity" loophole: Americans who think they're buying shares in Chinese companies like Alibaba are actually only purchasing rights to a contract with a Cayman Islands company that contracts with the mainland Chinese company The "Passive Index" loophole: Asset managers include mainland Chinese companies in index funds sold to U.S. investors, allowing these companies to access American capital without complying with U.S. laws and regulations Bipartisan legislation from Rep. Andy Barr and Sen. John Cornyn aimed at identifying Chinese companies with ties to the military or specific technology infrastructure Why China's economic competition is fundamentally unfair: "When you have slave labor, no environmental laws, no OSHA laws, and no labor laws, of course it's going to be cheaper" Iacovella also explains the mission of the American Securities Association as a non-Wall Street trade association representing approximately 100 member firms across the country. Its mission is to "promote investor trust and confidence and to facilitate the flow of capital to small businesses across America." Listen now to understand how your investments might be inadvertently supporting a foreign adversary and what you can do about it. Keep Up With The Daily Signal Sign up for our email newsletters: https://www.dailysignal.com/email⁠⁠⁠⁠⁠   Subscribe to our other shows:  Problematic Women: https://www.dailysignal.com/problematic-women⁠⁠⁠⁠⁠  The Signal Sitdown: https://www.dailysignal.com/the-signal-sitdown⁠⁠⁠⁠⁠  The Tony Kinnett Cast: https://www.dailysignal.com/the-tony-kinnett-cast Follow The Daily Signal:  X: ⁠⁠https://x.com/DailySignal⁠⁠⁠⁠⁠  Instagram: https://www.instagram.com/thedailysignal/⁠⁠⁠⁠⁠  Facebook: https://www.facebook.com/TheDailySignalNews/⁠⁠⁠⁠⁠  Truth Social: https://truthsocial.com/@DailySignal⁠⁠⁠⁠⁠  YouTube: https://www.youtube.com/user/DailySignal⁠⁠⁠⁠⁠  Rumble: ⁠⁠⁠⁠https://rumble.com/c/TheDailySignal⁠⁠⁠⁠⁠  Thanks for making The Daily Signal your trusted source for the day's top news. Subscribe on your favorite podcast platform and never miss an episode. Learn more about your ad choices. Visit megaphone.fm/adchoices

Het is alweer bijna zo ver. In Zwitserland wordt er stevig onderhandeld tussen China en de VS, maar jij zit lekker in je luie stoel. Eén tegenvaller: de beursweek staat alweer om de hoek. Een week met aandeelhoudersvergaderingen bij ASM International en Just Eat Takeaway, en met kwartaalcijfers van ABN Amro, NN Group en Alfen. Maar Bob Homan van ING Investment Office kijkt naar liever naar China. Niet naar die onderhandelingen met Amerika, maar naar een heel aantal bedrijven dat daar met de cijfers komt. Want die kunnen nog wel eens van invloed zijn op de stemming in Zwitserland. In Beurs in Zicht stomen we je klaar voor de beursweek die je tegemoet gaat. Want soms zie je door de beursbomen het beursbos niet meer. Dat is verleden tijd! Iedere week vertelt een vriend van de show waar jouw focus moet liggen.See omnystudio.com/listener for privacy information.

Food, medicine, groceries, electronics—if it fits on a scooter, it's fair game in China's high-stakes delivery wars. Tech giants like JD and Alibaba are charging into Meituan and Ele.me's turf, armed with lightning-fast delivery pledges and billion-yuan subsidies. But in this cutthroat, time-sensitive market, where every minute tilts the balance, who has the speed—and the stamina—to come out on top? On the show: Heyang, Steve Hatherly & Yushan

Ce vendredi x mois année, Liste INVITES et FONCTiON, se sont penchés sur les titres (....à lister... ), dans On achète ou on vend ? dans l'émission C'est Votre Argent présentée par Marc Fiorentino. C'est Votre Argent est à voir ou écouter le vendredi sur B

Our 208th episode with a summary and discussion of last week's big AI news! Recorded on 05/02/2025 Hosted by Andrey Kurenkov and Jeremie Harris. Feel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai Read out our text newsletter and comment on the podcast at https://lastweekin.ai/. Join our Discord here! https://discord.gg/nTyezGSKwP In this episode: OpenAI showcases new integration capabilities in their API, enhancing the performance of LLMs and image generators with updated functionalities and improved user interfaces. Analysis of OpenAI's preparedness framework reveals updates focusing on biological and chemical risks, cybersecurity, and AI self-improvement, while tone down the emphasis on persuasion capabilities. Anthropic's research highlights potential security vulnerabilities in AI models, demonstrating various malicious use cases such as influence operations and hacking tool creation. A detailed examination of AI competition between the US and China reveals China's impending capability to match the US in AI advancement this year, emphasizing the impact of export controls and the importance of geopolitical strategy. Timestamps + Links: Tools & Apps (00:02:57) Anthropic lets users connect more apps to Claude (00:08:20) OpenAI undoes its glaze-heavy ChatGPT update (00:15:16) Baidu ERNIE X1 and 4.5 Turbo boast high performance at low cost (00:19:44) Adobe adds more image generators to its growing AI family (00:24:35) OpenAI makes its upgraded image generator available to developers (00:27:01) xAI's Grok chatbot can now ‘see' the world around it Applications & Business: (00:28:41) Thinking Machines Lab CEO Has Unusual Control in Andreessen-Led Deal (00:33:36) Chip war heats up: Huawei 910C emerges as China's answer to US export bans (00:34:21) Huawei to Test New AI Chip (00:40:17) ByteDance, Alibaba and Tencent stockpile billions worth of Nvidia chips (00:43:59) Speculation mounts that Musk will raise tens of billions for AI supercomputer with 1 million GPUs: Report Projects & Open Source: (00:47:14) Alibaba unveils Qwen 3, a family of ‘hybrid' AI reasoning models (00:54:14) Intellect-2 (01:02:07) BitNet b1.58 2B4T Technical Report (01:05:33) Meta AI Introduces Perception Encoder: A Large-Scale Vision Encoder that Excels Across Several Vision Tasks for Images and Video Research & Advancements: (01:06:42) The Leaderboard Illusion (01:12:08) Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model? (01:18:38) Reinforcement Learning for Reasoning in Large Language Models with One Training Example (01:24:40) Sleep-time Compute: Beyond Inference Scaling at Test-time Policy & Safety: (01:28:23) Every AI Datacenter Is Vulnerable to Chinese Espionage, Report Says (01:32:27) OpenAI preparedness framework update (01:38:31) Detecting and Countering Malicious Uses of Claude: March 2025 (01:46:33) Chinese AI Will Match America's

Today in AI is a daily recap of the latest news and developments in the AI industry. See your story and want to be featured in an upcoming episode? Reach out at tonyphoang.com Alibaba's introduction of Qwen3, a next-generation open-source large language model, represents a major advancement in AI technology. With its hybrid reasoning capabilities, multilingual support, and cost-effective deployment, Qwen3 positions Alibaba as a formidable player in the global AI landscape. This development has the potential to transform various industries and drive further innovation, while also raising important regulatory considerations within the AI sector. The sentencing of Dazhon Darien, a former high school athletics director in Maryland, to four months in jail for creating a racist and antisemitic deepfake using AI technology underscores the ethical and legal challenges associated with generative AI. This incident highlights the broader societal implications of AI misuse, including the risks of job displacement, environmental impact, and the potential to undermine democratic processes. It serves as a stark reminder of the need for robust ethical guidelines and legal frameworks to govern the use of AI technologies. Meta Platforms has launched a stand-alone AI app, Meta AI, as part of its strategic initiative to establish itself as a leader in artificial intelligence. By integrating this app across its platforms like Facebook and Instagram, Meta aims to enhance user engagement through personalized and generative AI tools. This launch is a key component of Meta's broader AI strategy, which involves substantial investments in AI infrastructure and open-source models, positioning the company to compete with other tech giants and potentially reshape the AI industry.

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss codependency on generative AI and the growing risks of over-relying on generative AI tools like ChatGPT. You’ll discover the hidden dangers when asking AI for advice, especially concerning health, finance, or legal matters. You’ll learn why AI’s helpful answers aren’t always truthful and how outdated information can mislead you. You’ll grasp powerful prompting techniques to guide AI towards more accurate and relevant results. You’ll find strategies to use AI more critically and avoid potentially costly mistakes. Watch the full episode for essential strategies to navigate AI safely and effectively! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-codependency-on-generative-ai-chatgpt.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn – 00:00 In this week’s In Ear Insights, let’s talk about the way that people are prompting generative AI tools like ChatGPT. I saw my friend Rebecca the other day was posting about how she had asked ChatGPT about a bunch of nutritional supplements she was taking and some advice for them. And I immediately went, oh, stop. We have three areas where we do not just ask generative AI for information because of the way the model is trained. Those areas are finance, law and health. In those areas, they’re high risk areas. If you’re asking ChatGPT for advice without providing good data, the answers are really suspect. Katie, you also had some thoughts about how you’re seeing people using ChatGPT on LinkedIn. Katie Robbert – 00:55 Well, I was saying this morning that it’s hard to go on LinkedIn. LinkedIn is where we’re all trying to connect with each other professionally, be thought leaders, share our experience. But it’s so hard for me personally, and this is my own opinion because every time I open LinkedIn the first thing I see is a post that says, “Today I asked ChatGPT.” Every post starts with, “So I was talking with ChatGPT.” “ChatGPT was telling me this morning.” And the codependency that I’m seeing being built with these tools is alarming to me and I’m oversimplifying it, but I don’t see these tools as any better than when you were just doing an Internet search. What I mean by that is the quality of the data is not necessarily better. Katie Robbert – 01:49 They can do more bells and whistles, they have more functions, they can summarize things, they can do backflips and create images and whatever. But the data is not different. You’re not getting better quality data. If anything, you’re probably getting more junk because you’re not asking specific questions like you would to a search engine. Because if you don’t ask a specific question to a search engine, you get junk back. So it forces you to be more detailed. With these generative AI being used as a quasi search, you don’t have to be specific. You’re still going to get a very long detailed answer back that’s going to look legit. And what I’m seeing, the thing that I’m concerned about is people are—the first thing they’re doing in the morning is they’re opening ChatGPT. Katie Robbert – 02:45 And this is not a knock at ChatGPT or OpenAI. This is just, I’m seeing it as the common name thrown around. People are opening a generative AI instance and having a conversation with it first thing in the morning. And I’m alarmed by that because the codependency means we’re not doing our research, we’re not having original thought, and we’re overly reliant on the software to do the work for us. Christopher S. Penn – 03:14 And that’s very much human nature, or just nature in general. Nature always prefers the path of least resistance, even if it’s not correct, it’s easier. And in the macro environment that we’re in, in 2025, where truth kind of takes a backseat to vibes, as it were, that behavior makes total sense. In fact, there was a paper that came out not too long ago that said that the number one use case—finance, health and law—the number one use case of ChatGPT outside of the marketing world and business world is people using it as a therapist. You can. If it’s properly primed and prompted and with therapeutic supervision from a real human therapist, yes, you can. Christopher S. Penn – 04:03 I guarantee no one using it like that is doing any of those things. Katie Robbert – 04:06 No, you can’t. Because of that second part of the statement. The people who are likely using these tools as a therapist aren’t building them in such a way that it is a qualified proxy for a human therapist. Now, humans make mistakes. Humans are flawed, and so that’s not to say that going to a human therapist is going to solve your problem. It’s a complicated question, but a human therapist is going to do a better job of knowing what is in scope and out of scope in terms of the context of the conversation. And so, if, let’s say, Chris, one morning I think I need a therapy session. Katie Robbert – 04:57 I’m going to turn to the nearest generative AI tool and say, hey, I’m kind of feeling down today. What can I do to get out of this funk? It’s going to start giving me advice and it’s going to start telling me things that I should do. And if I don’t know any better, I’m just going to start blindly following this advice, which could actually be detrimental to my health, to my mental health, and possibly my physical health. Because what happens if I say something like, I’ve been having very tense conversations with someone in my life and I don’t know how to approach it? This generative AI system isn’t going to say, hey, are you in danger? Do you need some sort of intervention from law enforcement or medical intervention? Katie Robbert – 05:46 It’s just going to say, here are some tips on navigating a difficult conversation with someone and I’m going to blindly follow it and try to navigate my way through a very tense situation with no supervision, which could have life threatening results. That’s more of an extreme, but people actually look for that information on the Internet, how to get out of a bad situation. What can I do that in a non violent way to work with someone, whatever the thing is. And now granted, we have the luxury of mostly staying in the B2B marketing realm or sort of in the verticals and operations and business, but it would be irresponsible of us not to acknowledge that there is a world outside of the business that we’re in. Christopher S. Penn – 06:41 When we think about people’s codependency on AI and the way that they’re approaching it relatively naively and accepting what AI gives them because they’re overwhelmed in every other part of their lives and they’re thinking, finally, an answer tool! Just give me the answer. I don’t even care if the answer is right. I just want the answer so that I don’t have one more thing on my to do list to do. How do you help people navigate that, Katie? How do you help people be thoughtful in its use and accept that it is not the Wizard of Oz? You do have to pull back the curtain, look behind the curtain. Katie Robbert – 07:19 I’m not going to be able to give you a blanket answer to that question because a lot of it involves trust between humans. And so if you’re asking me how I would help someone, first of all, they have to trust me enough to let me help. Not everyone knows what kind of things they’re overwhelmed by. I am someone who happens to be self aware to a fault. So I know the things that I’m overwhelmed by. But that doesn’t mean that I can necessarily get out of my own way. Katie Robbert – 07:54 And it doesn’t mean that if an easy solution to a problem is presented to me, I’m not going to take it. So if I’m overwhelmed one day and a generative AI system says, hey, I can answer 3 of those 7 questions for you. That actually sounds really appealing. My emotional brain has taken over. My logical brain isn’t going to be, Katie, maybe you should check the answers on those. My emotional brain is, yes, let’s just get those things done. I don’t care. I will deal with the consequences later. So it’s a complicated question, and I can’t give you an answer other than we have to keep trying our best as humans to be present in the moment when you’re using these tools. Katie Robbert – 08:40 And I know this, and I promise this was not me segueing into an opportunity to bring this up. But there’s a reason that the five P’s exist. And let me explain. The five P’s are meant to—if you’re overwhelmed and you’re thinking, let me just turn to generative AI to get the answer, let’s just stop. Think of the five P’s in that instance, almost like a breathing exercise to get your wits about you. And so it’s, okay, what is my purpose? What is the problem I think I’m trying to solve? And you don’t have to have all the answers to these questions, but it gives you an opportunity to slow down and think through what am I about to look for? So let’s say in this instance, let’s just use this example that we’ve been talking about. Katie Robbert – 09:25 Let’s say I’m looking to have a therapy session. I just really need to talk to someone. Okay. I’m having a rough day. I’m feeling kind of overwhelmed. So I want to get some thoughts out of my system. That’s my purpose. The people is me. And then maybe there’s some other people in my life that have been causing this anxiety, but maybe I don’t feel like I have someone to talk to. So I’m going to use a generative AI system as a stand-in. My process—well, that’s a really good question. Do I just say, hey, I need some therapy today, or, hey, I want to talk? Whatever it is, maybe that’s my process. The platform is whatever generative AI system I have handy. And then the performance is, do I feel better? Katie Robbert – 10:12 Was I able to get to some resolution? Now that sounds, oh, okay, well, they’re going to do it anyway. But just like a breathing exercise, the goal of using the 5Ps is to calm your mind a little bit, put your thoughts together, sit back and go, is this a good idea? Should I be doing this? And so in business, in your life, this is why I always say the five P’s are there for any situation. And it doesn’t have to be in depth. It’s really there to help you organize your thoughts. Christopher S. Penn – 10:49 One of the reasons why this is so problematic from a technical perspective is what’s called latent space knowledge. This is the training data that models have been trained on. And in the case of today’s models, for example, Alibaba’s new Qwen model came out last week. That’s trained on 32 trillion tokens. To give you a sense of how large that is, that is a bookshelf of text—only books—that goes around the planet 4 times. That is a massive amount of text. A lot of that text is not date stamped. A lot of it is not time stamped. A lot of it can be anywhere from today to texts from the 5th century. Which means that if you’re asking it a question about mental health or SEO or anything, the models are based on probability. Probability is based on volume. Christopher S. Penn – 11:36 There is a lot more old knowledge than new knowledge, which means that you can be invoking knowledge that’s out of date. For example, ask any generative AI tool about SEO and you will hear about expertise, authority and trust—E-A-T, which Google talked about for 10 years. They revised that two years ago, three years ago now to expertise, experience, authority and trust. And if you don’t know that, then you don’t recognize that in that situation a service like ChatGPT is spitting out old information. Now, it’s not substantially wrong in that case, but without that scoping on it, you are pulling out old information. When you get to things like health and law and finance, there’s a lot of medical information out there. We have medical papers dating back over a century. A lot of them are invalid. A lot of that. Christopher S. Penn – 12:29 We’ve only, for example, started doing research on things like women’s health in the last 10 years. Women were absent for the first 5 centuries of recorded medical knowledge. And yet that’s what most of the corpus of work is. So if you’re asking a tool for information about depression, for example, you’re drawing on a corpus that is so generalized, is not specific to your gender, to your race, to your circumstances, that you could be getting really bad advice. Katie Robbert – 13:02 And this is where I think people get stuck, Chris, is if generative AI in terms of data sources is no better than an Internet search, what are we supposed to do? How do we get to better answers without becoming a Chris Penn data scientist? How do I as an everyday person use generative AI better, more thoughtfully? Christopher S. Penn – 13:34 One of the things that I think is really important is what I have termed the Casino Deep Research framework. And yes, it’s yet another framework because I love frameworks. You can pick up a copy of this for free—no forms to fill out—at TrustInsights.ai/casino. And yes, this is essentially a mutated version of the 5Ps that omits platform because it presumes that generative AI is in there and it breaks out process more granularly. This doesn’t work just for deep research. This works for pretty much all problems, but this is specifically for deep research because you only get so many credits per month and you don’t want to give it a bad prompt and then think, I only have 9 uses of my deep research tool left. So context—tell the tool what you’re doing. Christopher S. Penn – 14:18 Audience—who’s using the research? Sometimes it’s you, sometimes it’s somebody else. The big one for anything like health, finance and law is scoping. What limitations do you need to put on the generative AI tool? What sources are allowed? What sources are not allowed? So for example, with my friend who was asking about supplements, I said you had better restrict your sources to anything that has a DOI number. A DOI number is a document object indicator. This is a number that is assigned to a paper after it has been peer reviewed. Sources without DOI numbers like random articles and self-posts or shit posts on Reddit are not going to have nearly as high quality information. What is the time frame? Christopher S. Penn – 15:03 So again, if, in the case of my friend asking about nutritional supplements for women’s health, we only have 10 years worth of data on that realistically. So their scoping should say don’t use any sources from before 2015. They’re probably not any good. What geographies? And then of course, why are we doing the report? What are the second and third order downstream effects that the research report might have? And of course narrator and output. But the big one for me is the scoping, and this is true again of all generative AI inquiries. What is the scope? What are the restrictions that you need to put on AI? We always talk about how it’s the world’s smartest, most forgetful intern. It’s got a PhD and everything, but it’s still an intern. Christopher S. Penn – 15:50 You would never say to an intern, just go write me an SEO strategy—that’s gonna go so badly. You absolutely would, if you’re a good manager, good at delegating, saying, this is what SEO means to us, this is how we do it. These are the sources that we use, this is the data that we use, these are the tools that we use and these are our competitors. Now, intern, go build us an SEO strategy because once you’ve given the intern all the stuff, they’re going to do a much better job with any of this stuff, but particularly the high risk areas. In a lot of cases, you’ve got to even provide the source data itself. Katie Robbert – 16:27 And this is the problem because people looking for the information are not the experts. They don’t know what a DOI number is or that the data—anything older than a certain date is invalid. And so that’s where I think we still don’t have a good resolution because you’re saying we need to understand the scope you need to provide those restrictions. Someone looking for the information, that’s what they’re trying to understand. So they don’t know what those scope restrictions should be. What, how does, again, someone who isn’t well versed in whatever area they’re trying to understand, how do they get to that information? How do they get to a point where what they’re looking for is something that they can feel good about the responses? Christopher S. Penn – 17:29 The simplest strategy that I can think of would be to say, hey, AI, here’s the thing I want to do today before we race ahead. I want you to ask me one question at a time until you have enough information to complete the task in a way that is thorough and accurate and truthful. So that attached to the bottom of any prompt is going to force you, the human and the machine to go back and forth and fill out conversational details. I say, hey, I want to know more about what supplements should I be taking? Ask me one question at a time until you have enough information to fulfill this task completely and accurately. And it will come back and say, well, who are you? Christopher S. Penn – 18:15 Are you a 23-year-old Korean man or are you a 50-year-old Korean man? What pre-existing health conditions might you have—a reminder, Generative AI does not provide medical advice. What things are you taking right now that could have interactions? And that’s a prompt that we get from coding, from the coding world. The coding world is—when I’m building a requirements document, ask me one question at a time until we have enough requirements for a PRD. And that one sentence will immediately make everything better and will stop AI from immediately trying to be as helpful as possible and forcing it to be more truthful. Katie Robbert – 18:56 And it’s interesting that we have to separate helpful from truthful. And that’s so hard because when you’re getting the responses back from generative AI, it’s not like it’s showing you emotion. So it’s not like you can read into facial expressions or the way that the words are delivered. It’s all very flat. And so you, the human, are interpreting it and reading it in whatever voice you read things in your own brain. And you’re going, okay, well this is a machine, so it must be truthful/helpful. But the two aren’t always—sometimes they’re true at the same time, sometimes they’re not. Christopher S. Penn – 19:45 And AI model makers have those three pillars. Harmless—don’t do any harm, that will get us sued. Helpful, and then truthful is always a distant third because the nature of the technology itself doesn’t include truthfulness. Christopher S. Penn – 20:00 No model—they try to train it to be accurate. But the nature of the model itself, the underlying architecture is that it will never be 100% truthful. It does not know that it is not an encyclopedia, it is a probability machine. And so harmless and helpful are the two priorities that get boosted to the front and not necessarily truthful. And this is a reflection of its training data. It’s a reflection of the architecture. That’s a reflection of our culture when you think about it. People love to talk, for example, about big pharma. How big pharma is this 2 trillion dollar industry? Well, the wellness industry full of snake oil is an 8 trillion dollar industry. They are helpful, but not truthful. Katie Robbert – 20:43 There was, I don’t even remember. Somehow I think, because my bio is a woman of a certain age, the amount of crap that I am pitched on social media, that’s going to change my life and change my body and all I have to do is drink this thing and take this pill. And none of it is FDA approved even if that’s valid anymore. We don’t know. And so at one point in our lives, having the FDA approved stamp meant something—I don’t know that means anything anymore. But even just thinking that it could have gone through the FDA was a comfort, but now there’s the amount of things that you could be taking and you could be filling your body with and doing this and doing that. Katie Robbert – 21:36 It’s ridiculous. And the only one who can make this decision, whether or not it is helpful or truthful or both is you, the human. Christopher S. Penn – 21:45 And this goes back to what you were talking about earlier, Katie. Helpful creates an emotional response in us. I feel better. Truthful creates a different emotional response, which is usually okay. That’s the truth. I don’t know that I like it. And so when people are codependent on generative AI, when people are blindly trusting AI, it’s because of that thing—helpful. Someone is helping me. And in a world where it feels like people talk about the loneliness epidemic when no one else is helping you, a machine that is helpful, even if it’s completely wrong, is still better than being without help. Katie Robbert – 22:28 And so, what we’re seeing is we’re seeing this play out again. Our ecosystem is very much constrained to our peers and other B2B marketers and other people in business and operations. And so those are the kinds of posts that we’re seeing on social media like LinkedIn, starting with, ‘Today I asked ChatGPT,’ ‘I was out of ideas, so I talked to ChatGPT’ or ‘I had this thought, so I thought I’d run it past ChatGPT.’ Those are the people who are talking about it. We as marketers are wired to tell people our every move. There’s a lot of people not talking about how much they’re using these systems and what they’re using them for. And that, I think is what concerns me. Katie Robbert – 23:18 So if we can be highlighting the risks within our own industry, hopefully that will then have that trickle down effect to people outside of the industry who are using it every day and trying to get things like medical advice, legal advice, what insurance should I be using? How do I get out of this lawsuit without having to pay a lawyer, anything like that? Because if you’re just asking those basic questions, you’re going to get shitty answers. Christopher S. Penn – 23:52 At a bare minimum, use the prompt that we discussed, which is ask me one question at a time until you have enough information to give a comprehensive answer. Just prompting AI with that alone is going to help you get better answers out of these tools, because it’s going to ask you things that you forgot to include in your prompt: who you are, what the situation is, why you’re asking about it, and so on and so forth. And if you are doing something high risk—finance, law, health—please at least look at the questions in the Casino Deep Research prompt. Whether or not you use the deep research tool at all to think through, to take that breath Katie was talking about, take that breath and think through. Am I providing enough information to get a good outcome? Christopher S. Penn – 24:39 Am I providing enough context? Am I helping the tool understand what it is that I want to do? And finally, I would say one of the things that you should—and this is something that came up in my many weeks of travel, encouraging people—find a group, find a peer group of some kind where you can talk to other real human beings in addition to machines to say, hey, I have this idea. For example, in our Analytics for Marketers Slack group, we have people now asking all the time, here’s this prompt I was trying to run. Here’s the thing I’m trying to do. Is this the right way to do it? And a lot of people jump in to help and say, here’s the prompt that I use, or here’s a way to think about this. Christopher S. Penn – 25:19 Or that’s not a task that you should let AI do. Finding real human beings (a) addresses the loneliness thing and (b) gives you a second set of brains on the AI thing you’re trying to do. So I really encourage people to join AI communities, join Analytics for Marketers. It’s completely free to join. Katie Robbert – 25:40 I agree with all that. Christopher S. Penn – 25:44 If you have comments or questions or things about codependency on generative AI and how people are using it, and you want to share your experiences, come on over at Analytics for Marketers Slack group—over 4,000 marketers asking and answering each other’s questions every single day about analytics, data, science and AI. And wherever it is you watch or listen to the show, if there’s a channel you’d rather have it on, instead go to TrustInsights.ai/ti-podcast. You can find us at all the places fine podcasts are served. Thanks for tuning in. We’ll talk to you on the next one. Katie Robbert – 26:17 Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Katie Robbert – 27:10 Trust Insights also offers expert guidance on social media analytics, marketing technology and Martech selection and implementation and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion and Meta Llama. Trust Insights provides fractional team members such as CMO or data scientists to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In Ear Insights podcast, the Inbox Insights newsletter, the So What? Livestream webinars and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights are adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. Katie Robbert – 28:15 Data Storytelling. This commitment to clarity and accessibility extends to Trust Insights educational resources which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI sharing knowledge widely whether you’re a Fortune 500 company, a mid-sized business or a marketing agency seeking measurable results. Trust Insights offers a unique blend of technical experience, strategic guidance and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

A daily update on what's happening in the Rocket Pool community on Discord, Twitter, Reddit, and the DAO forum. #RocketPool #rpl #Ethereum #eth #crypto #cryptocurrency #staking #news Podcast RSS: https://anchor.fm/s/cd29a3d8/podcast/rss Anchor.fm: https://anchor.fm/rocket-fuel Spotify: https://open.spotify.com/show/0Mvta9d2MsKq2u62w8RSoo Apple Podcasts: https://podcasts.apple.com/us/podcast/rocket-fuel/id1655014529 0:00 - Welcome Rocket Pool news 0:33 - Rocket Scan replacement incoming? https://discord.com/channels/405159462932971535/704214707904446535/1367950801187897557 2:49 - Queue wait time ath https://dune.com/rp_community/saturnqueues Staking news 3:55 - Update your validators reminder https://x.com/ethStaker/status/1915794978246099054 Ethereum news 5:%4 - Vitalik says simplify the L1https://x.com/vitalikbuterin/status/1918562016329162844 9:34 - Beam Call 5 summary https://x.com/ladislaus0x/status/1919301673861693945 10:35 - Ethereum as financial market infrastructure https://x.com/ethereum/status/191829273354799930212:24 - Aztec testnet live https://x.com/aztecnetwork/status/1917926796986929192 13:43 - Securitize's BUIDL update https://x.com/Securitize/status/1917980588423974967 https://x.com/pythianism/status/1918330974213161377 19:02 - Alibaba subsidiary launch L2 https://x.com/AdrianoFeria/status/1918297671758168202 https://x.com/ryanberckmans/status/1918380498776191311 22:28 - Ethereum R1 hype https://x.com/ethereumR1/status/1917915035516498025 https://x.com/a_leutenegger/status/1917950760005881998 27:51 - Unichain development https://x.com/unichain/status/1918290979368407403 29:37 - Matt Hougan talking Eth https://www.youtube.com/watch?v=wOuhU1XTbkU In other news 31:38 - Market structure bill https://x.com/repbryansteil/status/1919422776311423037 https://x.com/JBSDC/status/1919432291270488254 https://x.com/matthew_sigel/status/1919439633265356976 35:05 - Ripple desperate to buy Circle https://x.com/Cointelegraph/status/1918261724224098651 35:49 - TradFi moving into crypto https://x.com/watcherguru/status/1917930609680548250 https://x.com/watcherguru/status/1917894678869061839 https://x.com/zcabrams/status/1917650431079260237 https://x.com/cointelegraph/status/1917776041499599271 38:50 - Apple lose case - crypto's huge win https://x.com/superwoj/status/1918134583234535489 https://x.com/beast_ico/status/1918314726389432679

I episode 84 fikk vi besøk av verdispesialisten Martin Mølsæter. Martin kjøpte sin første aksje da han var 12 år og har en lang karriere innen finans, med posisjoner i DNB Markets, ABG og Morgan Stanley mv. I dag forvalter Martin fondene FIRST Generator og FIRST Global Focus.  I episoden forteller Martin om sin investeringsfilosofi og hvordan han finner de stygge andungene som har potensialet til å vokse seg til flotte svaner. Filosofien har en verdibasert tilnærming der han kjøper undervurderte, oversette aksjer i sektorer som råvarer og banker, og utnytter markedets feilprisinger med aktiv, konsentrert forvaltning. Han holder en langsiktig, kontrær strategi, tåler volatilitet og han har oppnådde sterk avkastning de siste årene.I episoden fikk vi høre hvordan Martin håndterer sektorer som blir straffet av markedet, og hvordan han går frem for å identifisere de beste kortene og posisjonere seg for en eventuell opptur der fremme. Vi pratet en del om USA, Kina og Europa og mulighetene fremover. Selskapene som ble diskutert var blant annet Ping An, Balder, Elkem, Crayon, Scatec og Ali Baba. Mer informasjon om Martin og hans arbeid finner du her:First Fondene: https://www.firstfondene.no/ansatte/martin-molsaeter/ Episoden er spilt inn for informasjons- og underholdningsformål, og innholdet i episoden skal ikke anses som en investeringsanbefaling. Innholdet er ikke sponset. Martin ble invitert av StockUp.Vel lytt!Ønsker du å være med på discord?Gå hit: https://discord.gg/CsxNmyXGbE Hvis du ønsker å støtte StockUp podcasten, har vi satt opp en Patreon: https://www.patreon.com/StockUp831 

Le 29 avril dernier, Alibaba a lancé Qwen3, un grand modèle de langage “similaire à Deepseek”, et que l'on peut exécuter librement sur sa propre infrastructure. Ses performances sont équivalentes à la dernière version de ChatGPT. Une annonce qui questionne la capacité des IA à coder…-----------------------------------------------------------------------SMART TECH - Le magazine quotidien de l'innovationDans SMART TECH, l'actu du numérique et de l'innovation prend tout son sens. Chaque jour, des spécialistes décryptent les actualités, les tendances, et les enjeux soulevés par l'adoption des nouvelles technologies.

Should the United States delist Chinese stocks? At first thought with all the craziness of the trade war it sounds like delisting all the Chinese companies from the American stock markets may be a good idea. It is important to know that there are 286 Chinese companies listed on major US stock exchanges. You'll recognize some of the names like Alibaba, Baidu and JD.com. It is estimated by analysts at Goldman Sachs that US institutional investors currently own about $830 billion worth of Chinese stocks. That is more than two times what the Chinese own of US stocks as that is estimated around $370 billion. But a quick sell off could bring down stock valuations and make it difficult to get out of many of these stocks on both sides. An important piece of information I brought up a couple years ago was the Accountable Act which came to be in 2020. This allows the Securities Exchange Commission to ban foreign companies from trading if American regulators are not allowed to inspect the auditors for three years in a row. I always worry about Chinese companies because of what I call government accounting. They are not held to the same accounting standards there and I believe companies may list financial statements based on what the government tells them. There have been some Chinese companies that delisted themselves rather than going through an audit. I think that tells you quite a bit. My feeling is we should not delist all the Chinese stocks that trade on American stock exchanges under what is known as ADRs, but be sure that the Chinese companies have the same transparency as American companies when it comes to their financial statements. If we can't get that transparency, then those companies should be delisted.    Jobs report shows more evidence the economy is in good shape US nonfarm payrolls grew by 177k in the month of April, which easily topped the estimate of 133k. Jobs remained robust in health care as the sector added 51k jobs in the month of April and employment in transportation and warehousing and financial activities was also strong as the groups added 29k and 14k jobs respectively in the month. Other categories like construction, manufacturing, leisure and hospitality, and retail trade saw little or no change in payrolls, while government declined by 9k jobs in the month. Government jobs are now down by 26k since January, but remember employees on paid leave or receiving ongoing severance pay are still counted as employed. This likely means we will continue to see losses accelerate in this category as the year continues. Negatives in the report included the fact that employment numbers were revised down by a total of 58k in the previous two months. Also, April's reading was lighter than March's reading of 185k, but considering the unemployment rate remains at 4.2%, I still see these jobs gains as impressive, especially with all the negativity that people have been discussing. With that said, I still do anticipate weaker numbers in terms of the payroll additions in future months, but if the unemployment rate remains low I don't see that as a problem. On the inflation front, we also got good news with average hourly earnings rising just 3.8%. I see this as a healthy increase that does not put pressure on inflation like when wages were growing over 5% in 2022.     Job openings look problematic on the surface In the March Job Openings and Labor Turnover Survey, job openings totaled 7.2 million. This was below February's reading of 7.5 million and the estimate, which also stood at 7.5 million. This is still not super concerning to me. We tend to forget how strong the labor market has been and while we continue to see a softening, there is plenty of room before I see cause for concern. Just for reference, job openings in 2019 averaged approximately 7.2 million, in 2018 they averaged approximately 6.8 million, and in 2017 they averaged approximately 6.2 million. Compare that to where we are today and that should give you more comfort. Another area I saw as positive in the report was the fact that quits totaled 3.3 million, which produced a quit rate of 2.1%. This is important because if people were truly concerned about a major slowdown and thought they would not be able to find work elsewhere, I don't believe they would be quitting their jobs. These quit numbers are still quite close to 2019 levels, which many considered as a very strong economy. That year quits averaged approximately 3.5 million and there was an average quit rate of about 2.3%. Also in the report, we saw layoffs remained quite low at 1.6 million. Back in 2019, layoffs averaged around 1.8 million per month. There is no doubt that uncertainty remains and that will have some impact on businesses and their hiring plans, but in terms of it pushing the economy into a major recession, since we are coming from such a healthy level, I just don't see that happening.   Are we in the middle of a recession? The first reading of Q1 GDP showed a decrease of 0.3%. A recession is generally defined as two consecutive quarters of declining GDP, so some may argue we are half way there. Let us not forget in 2022 we did see two consecutive quarters of declining GDP as Q1 declined 1.4% and Q2 showed an advance estimate that was down 0.9%. After further research the second quarter ended up seeing a total reversal and it is now reported to have actually grown by 0.3%. Even with the difficult start, that year ended with a 2.1% growth rate. We also can't forget that the National Bureau of Economy Research (NBER) makes the official call on recession and they use a broader set of indicators that led them not to declare a recession in 2022. I say all of this because I still believe even if we hit a technical recession, if employment remains strong, I don't believe we would have an “official” recession. I am still unsure that we will even see Q2 GDP decline and we could also see revisions to Q1 that lift it to a positive reading. I say this because if you look at the actual underlying numbers in the report, it is not nearly as bad as the headline decline. On the positive front, consumer spending actually grew 1.8% in the quarter as services showed a nice increase of 2.4%. Also, private domestic investment saw a surge of 21.9%, this was led by investments in equipment as they grew 22.5% in the quarter. You might be asking with numbers like these how did we see a negative GDP? To start, government spending fell 1.4% in the quarter. This was led by a decline of 5.1% in spending by the federal government. The group as a whole ended up subtracting 0.25% from the headline GDP number. While this was impactful, the real reason for the decline in GDP was trade. Companies were trying to get ahead of looming tariffs and imports surged 41.3%. This compared to an increase of just 1.8% for exports. The huge discrepancy caused the trade component of GDP to decrease the headline number by 4.83%! While the economy is no doubt digesting these trade conversations and the tariffs, I still believe the economy is in alright shape when you look at the underlying numbers. I did also want to mention more good news on inflation as the March headline PCE showed an increase of 2.3%, which compares to last month's reading of 2.7% and core PCE came in at just 2.6%, which was a nice decline from February's reading of 3.0%. I believe these numbers will likely increase with the tariffs, but underlying inflation looks to be quite healthy.   Financial Planning: Protecting Yourself from Home Title Theft Home title theft is a type of real estate fraud where someone illegally transfers the ownership of your home by forging your name on title documents.  This is often done using stolen personal information to file fraudulent deeds with the county recorder's office. Once the title appears to be in their name, the thief may try to take out loans against the property, sell it to an unsuspecting buyer, or use it in other schemes that could put your home and finances at risk. This crime can go undetected for months if property owners aren't actively monitoring their title.  Having a mortgage or HELOC on your house can make it more difficult for a thief to steal your title since the bank has a lien against the property, but it is still possible. There are private companies that charge monthly fees to alert you of changes to your home title, but they do not prevent the title from being stolen.  You can also purchase home title insurance that will help pay for legal fees if you have to go to court if your title is stolen.  Homeowners in San Diego County can access a free alternative called “Owner Alert”. Jordan Marks who is the San Diego County Assessor/Recorder/County Clerk was behind this, and it is a great benefit that all San Diego property owners should take advantage of.  This service works by notifying you by email whenever a document is recorded against your property, helping you catch potential fraud early.  Signing up is simple and can be done on the San Diego County Assessor's website. You just need your name, email address, and parcel number and it provides the same type of monitoring offered by paid services, making it unnecessary to spend money for peace of mind when this tool is already available for free.   Companies Discussed: Zimmer Biomet Holdings, Inc. (ZBH), Take-Two Interactive Software, Inc. (TTWO), Northrop Grumman Corporation (NOC)Alphabet Inc. (GOOG)

In this episode, Phil Gervasi and Justin Ryburn cover major developments in AI and networking, including Palo Alto Networks' $650M push into AI security, Alibaba's release of Qwen 3, and Meta's new Llama API. They also discuss Microsoft's AI-generated code stats, Asia's IPv6 milestone, and the massive Iberian power outage that disrupted internet traffic across multiple countries.

In this episode of The Negotiation, host Todd Embley is joined by Mark Kruger, a Senior Fellow at the Yicai Research Institute, Centre for International Governance Innovation, and the University of Alberta's China Institute. Formerly with the Bank of Canada for three decades, Mark now resides in Shanghai and writes regularly for Yicai Global, where he offers clear, data-driven analysis on China's economy. In today's episode, Todd and Mark dig into China's macroeconomic outlook in the wake of proposed new tariffs from Donald Trump and why Mark believes the country's 5% growth target remains achievable despite external pressure.The conversation explores Mark's recent columns, including “Is China's 5 Percent GDP Growth Credible?” He shares insights into the resilience of the Chinese economy, fiscal and monetary policy expectations, consumer confidence trends, and the ongoing property sector adjustment. Mark also weighs in on how Canada should navigate its own economic relationship with China during a time of rising global protectionism.Stay tuned for a sharp, timely conversation with one of the most thoughtful observers of China's economic evolution.Discussion Points:Why Trump's tariffs may not derail China's 5% GDP growth targetSigns of strength in China's Q1 economic dataThe resilience of Chinese consumer confidenceHow China's export profile is becoming more diversifiedPotential fiscal and monetary responses from Beijing to rising trade tensionsThe role of infrastructure investment and new manufacturing sectors in bolstering growthThe status and long-term management of China's property sectorCanada's strategic positioning in the context of US-China trade tensionsKey risks and tailwinds shaping China's medium-term economic outlookWhat foreign businesses should keep in mind when interpreting China's economic trajectory

¿De verdad tienes acciones de Alibaba o solo un contrato con un fantasma? En este nuevo episodio de "En Portada" te explicamos, paso a paso, cómo funciona el tinglado de las acciones chinas en Wall Street: contratos opacos, empresas fantasma en las Islas Caimán y una estructura legal que parece legal… pero no lo es tanto. Una historia de espejismos que puede estallar en cualquier momento. Mantente informado con "En Portada" de Renta 4 Banco, con el periodista Fernando Latienda. Si quieres ampliar la información, te dejamos aquí todos los links ⬇️⬇️⬇️ 00:00 Resumen de temas de "En Portada" 02:00 - ¿Qué es una VIE y por qué debería preocuparte? 04:29 - Artículo de opinión ➡️ Las empresas chinas cotizadas en Estados Unidos no son lo que parecen ➡️ https://ow.ly/ajEQ50VKzSQ 06:33 - Conferencia Multigestora ( 8 de mayo, 18:00h) ➡️ Impulsa tu cartera invirtiendo en tendencias ➡️ https://ow.ly/xlhi50VKzUs --------------------------------- SUSCRÍBETE A NUESTRO CANAL Y RECIBE ESTE Y OTROS CONTENIDOS DE INTERÉS Suscríbete a nuestro canal: https://youtube.com/renta4?sub_confir... Y si quieres, también puedes seguirnos en OTROS CANALES: X: / renta4 Facebook: / renta4 Instagram: / renta4banco LinkedIn: / 65291 Ivoox: https://bit.ly/R4_ivoox Spotify: https://bit.ly/SpotifyR4 O consultar más información en NUESTRAS PÁGINAS WEB: Web: https://www.r4.com Renta 4 Gestora: https://www.renta4gestora.com Blog R4: https://blog.r4.com #Renta4Banco #EnPortadaR4 #Renta4 ------------------------------------------------------------------------------------------- Lo expuesto en esta emisión no presenta asesoramiento financiero personalizado. Se informa al inversor de que los instrumentos o inversiones a los que se refiere pueden no ser adecuados para sus objetivos, su situación financiera o su perfil de riesgo. La emisión no constituye una oferta, invitación de compra o suscripción o cancelación de inversiones, ni puede servir de base a ningún contrato o decisión. Se recomienda revisar la información legal de los productos, especialmente las características y los riesgos, antes de tomar decisiones. El Grupo Renta 4 no asume responsabilidad alguna por cualquier pérdida directa o indirecta que pudiera resultar del uso del contenido de esta emisión. Rentabilidades pasadas no garantizan rentabilidades futuras. Renta 4 Banco, S.A., es una empresa domiciliada en Madrid, Paseo de la Habana, 74, 28036 Madrid, teléfono 91 384 85 00. Es una entidad regulada y supervisada por el Banco de España (BdE) y por la Comisión Nacional del Mercado de Valores (CNMV) respecto a los servicios de inversión y auxiliares.

Google's NotebookLM maakt een belangrijke sprong voorwaarts en is beschikbaar in meer dan 50 talen, dus ook in het Nederlands! Ondertussen beleeft OpenAI een pijnlijk moment wanneer ChatGPT verandert in een kruiperige slijmbal die riskante uitspraken begroet met overdreven positieve reacties, terwijl hun nieuwste o3-model verrassend genoeg exacte locaties kan herkennen op basis van minimale visuele aanwijzingen in foto's. Google DeepMind-CEO Demis Hassabis reflecteert in een 60 Minutes-interview over bewustzijn bij AI, een filosofisch vraagstuk dat aansluit bij Bernard Kastrups intrigerende theorie over "the hard problem of consciousness" - kunnen we subjectieve ervaringen werkelijk verklaren? Meta betreedt het sociale AI-terrein met een app die AI-prompts van vrienden deelt, terwijl Chinese bedrijven zoals Alibaba en DeepSeek de westerse concurrentie uitdagen met krachtige, open-source AI-modellen die indrukwekkende prestaties leveren tegen lagere kosten. Al met al een stampvolle aflevering met genoeg nieuwtjes! Als je een lezing wil over AI van Wietse of Alexander dan kan dat. Mail ons op lezing@aireport.emailOp de hoogte blijven van het laatste AI-nieuws en 2x per week tips & tools ontvangen om het meeste uit AI te halen. Abonneer je dan op onze nieuwsbrief via aireport.emailVandaag nog beginnen met AI binnen jouw bedrijf? Ga dan naar deptagency.com/aireport This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.aireport.email/subscribe

Hey everyone, Alex here

Microsoft and Meta unveil quarterly results that beat Wall Street expectations. Plus, Chinese e-commerce giant Alibaba takes the wraps off a super-fast delivery option. Victoria Craig hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

The Chinese Communist Party (CCP) has been using the International Criminal Police Organization (INTERPOL) as a tool for transnational repression. In a recent case, Alibaba cofounder Jack Ma was implicated in a CCP campaign to export its abuses into other countries. Yet this is just the latest of many instances in which INTERPOL, an organization with 196 member countries, has been manipulated by China's communist regime to work as its very own global police force.Views expressed in this video are opinions of the host and guests and do not necessarily reflect the views of The Epoch Times.

In this episode, Leda and the crew spill the real tea on the hair extension industry — from overpriced vendor lists and fake luxury brands to behind-the-curtain secrets of the SWAN Method. They're headed to the Orlando Hair Show (June 1–2) and they're not holding anything back.Hear Leda explain why most extension methods are a scam, how she kept the SWAN Method affordable and patent-protected, and why her students are leveling up faster than ever. Plus: conspiracy theories, AI, fake Guccis, and a viral Amazon stick ad? Yeah… this one goes there.

Various developments in artificial intelligence were reported, including OpenAI reversing a personality update for GPT-4o due to negative user feedback and launching new shopping features within ChatGPT to provide personalised product recommendations. Alibaba introduced its open-weight Qwen3 AI models, aiming to enhance developer access and potentially accelerate research. Concerns about AI were highlighted by a study using AI agents to psychologically manipulate Reddit users, raising ethical questions about research consent. Additionally, Amazon launched its first Kuiper internet satellites, entering the satellite internet market, and Duolingo announced plans to replace some contractors with AI, indicating a broader industry trend toward automation. Djamgatech: Free Certification Quiz AppAce AWS, PMP, CISSP, CPA, CFA & 50+ Exams with AI-Powered Practice Tests! Why Professionals Choose Djamgatech PRO version is 100% Free – No ads, no paywalls, forever. Adaptive AI Technology – Personalizes quizzes to your weak areas. 2024 Exam-Aligned – Covers latest AWS, PMP, CISSP, and Google Cloud syllabi. Detailed Explanations – Learn why answers are right/wrong with expert insights. Offline Mode – Study anywhere, anytime. Top Certifications SupportedCloud: AWS Certified Solutions Architect, Google Cloud, AzureSecurity: CISSP, CEH, CompTIA Security+Project Management: PMP, CAPM, PRINCE2Finance: CPA, CFA, FRMHealthcare: CPC, CCS, NCLEX Key Features: Smart Progress Tracking – Visual dashboards show your improvement. Timed Exam Mode – Simulate real test conditions. Flashcards – Bite-sized review for key concepts. Trusted by 10,000+ Professionals"Djamgatech helped me pass AWS SAA in 2 weeks!" – ***** "Finally, a PMP app that actually explains answers!" – ***** Download Now & Start Your Journey!Your next career boost is one click away.Web|iOs|Android|Windows

Bienvenidos a Tecnología Auditiva en este episodio te hablo de Alibaba, Intel, 6g y el nuevo cable que pronto llegará, además de una curiosidad de Robots.

À la veille des 100 jours du deuxième mandat de Donald Trump, focus sur une conséquence de sa guerre commerciale avec la Chine. Face aux droits de douane massifs imposés par Washington, Pékin organise la riposte pour soutenir ses entreprises, avec en première ligne ses champions du numérique. Décryptage. Depuis l'instauration de droits de douane de 145% par les États-Unis, les distributeurs chinois prennent des mesures pour soutenir leurs entreprises. La conséquence directe de cette guerre commerciale, ce sont des montagnes d'invendus qui s'accumulent dans les entrepôts chinois. Et pour cause : les États-Unis étaient, jusqu'à l'an passé, le premier acheteur de biens chinois, avec près de 500 milliards de dollars d'importations. Concrètement, près d'un produit sur cinq fabriqué en Chine était destiné au marché américain : vêtements, jouets, chaussures ou composants électroniques. Aujourd'hui, des milliers d'entreprises chinoises cherchent de nouveaux débouchés, notamment sur leur propre marché intérieur. Le ministère du Commerce chinois parle même de « choc », et appelle à transformer le marché intérieur en véritable bouée de sauvetage. À lire aussiLes petits producteurs chinois, grands perdants des mesures de Donald TrumpAlibaba et JD.COM en première ligne Pour mener cette stratégie, Pékin mise sur ses géants technologiques comme Alibaba et JD.COM. Ainsi, JD.COM a lancé un fonds de 200 milliards de yuans, soit environ 27 milliards de dollars, pour acheter directement les stocks des entreprises exportatrices. Le groupe identifie des fournisseurs stratégiques dont les produits sont ensuite mis en avant sur sa plate-forme pour séduire le marché local. Alibaba suit une stratégie similaire : le géant du e-commerce réserve une place de choix sur son site à 10 000 exportateurs et 100 000 produits, afin d'accroître leur visibilité. L'idée est claire : offrir aux entreprises touchées par la guerre commerciale américaine une meilleure exposition sur le marché chinois et favoriser ainsi l'absorption de leurs stocks. À lire aussiChine: le président Xi Jinping reçoit le gratin du secteur privé, dont Jack Ma, le fondateur d'AlibabaUne mobilisation qui dépasse le e-commerce Le soutien aux exportateurs ne se limite pas aux plates-formes en ligne. Les réseaux sociaux chinois comme WeChat, Douyin ou TikTok mettent également en place des programmes de promotion ciblée pour les aider. Même les supermarchés traditionnels s'adaptent : Walmart, filiale chinoise du géant américain, ouvre ses rayons aux entreprises locales frappées par les mesures américaines. Un objectif central guide cette mobilisation : éviter que toute l'économie chinoise ne soit plombée. La consommation intérieure reste fragile, affectée par la morosité économique et les incertitudes sur l'emploi. Si les entreprises venaient à fermer, cela entraînerait une vague de suppressions de postes. De plus, la concurrence féroce entre exportateurs pour séduire les mêmes clients pourrait déclencher une guerre des prix dévastatrice. Sans compter que les produits initialement destinés au marché américain ne sont pas toujours adaptés aux consommateurs chinois, ce qui entraîne des coûts logistiques supplémentaires et réduit les marges. Si l'aide des géants du numérique semble bienvenue, elle devra être soutenue sur la durée, car derrière cette crise, c'est toute la dépendance structurelle de la Chine aux exportations que Pékin tente, coûte que coûte, de corriger.À lire aussiLe reste du monde se prépare à une inondation de produits chinois bon marché

Depuis 2022, Washington serre la vis sur l'exportation de puces électroniques vers la Chine. Les restrictions se renforcent encore, notamment pour limiter l'accès aux technologies nécessaires à l'intelligence artificielle. Jusqu'ici, les géants chinois pouvaient encore se fournir en puces H20 bridées de NVIDIA. Mais cet accès devrait être drastiquement réduit, dans un contexte de guerre commerciale de plus en plus tendu.Anticipant ce durcissement, Alibaba, Tencent et ByteDance auraient passé pour 12 milliards de dollars de commandes auprès de NVIDIA depuis l'an dernier. L'objectif : constituer des stocks stratégiques avant d'éventuelles nouvelles sanctions. En parallèle, certaines entreprises chinoises tentent de contourner les restrictions en créant des filiales à l'étranger pour sécuriser leur approvisionnement. Une pratique dans le viseur des autorités américaines : TSMC, le géant taïwanais, a confirmé coopérer avec Washington pour tracer l'origine de certaines commandes suspectes.Pendant ce temps, Huawei avance ses pions. Le groupe s'apprête à livrer massivement une nouvelle puce d'IA, combinant deux processeurs 910B en un seul module. Cette innovation, grâce à des techniques d'intégration avancées, offrirait des performances proches du H100 de NVIDIA. Un exploit, même si technologiquement, Huawei reste encore derrière son rival américain. Cette course à l'armement technologique illustre les effets parfois paradoxaux des sanctions américaines. Certains experts alertent d'ailleurs la Maison-Blanche : en tentant de freiner la Chine, les États-Unis pourraient bien stimuler, malgré eux, une industrie locale de l'IA plus indépendante et plus agressive. La rivalité sino-américaine pour la maîtrise de l'intelligence artificielle ne fait que commencer. Et derrière les puces, ce sont des enjeux économiques, militaires et géopolitiques majeurs qui se dessinent. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

How do you power the next generation of AI — without centralized data monopolies?In this episode, I talk with Ben Noble, Marketing Director at Sapien, about how Sapien is building the world's first decentralized data foundry — rewarding people for training AI and contributing real-world data.We cover:How Sapien is combining Web3 incentives with AI data collectionWhy real human input still matters for AI trainingBen's best advice for marketing Web3/AI startupsStorytelling strategies for foundersHow to simplify complex ideas and drive viral messagingIf you're building in AI, Web3, or growth marketing, this episode is packed with practical insights you can use immediately.Key Timestamps[00:00:00] Introduction: Sam introduces the episode and previews key topics: AI, Web3, storytelling, and startup growth. [00:01:00] Ben's Journey: How Ben got started in AI, left for Web3, and came full circle. [00:04:00] What Sapien Does: Decentralized data foundry explained — sourcing human expertise to train AI. [00:06:00] How It Works: How users earn rewards by contributing data to Sapien's platform. [00:09:00] Customers and Use Cases: Sapien's partnerships with enterprises like Alibaba, the UN, and others. [00:13:00] Safeguards: How Sapien prevents bots and fake data submissions. [00:15:00] Why Human Data Still Matters: The limits of AI and the need for human empathy and diversity. [00:19:00] Growth Strategies: Ben shares why partnerships and referrals outperform traditional marketing. [00:22:00] Web3 vs Web2 Marketing: The importance of authenticity, speed, and viral one-liners. [00:27:00] Future of AI: Will we see iterative improvements or major leaps? Ben's perspective. [00:30:00] Storytelling Lessons: Why contextualizing numbers is crucial for effective messaging. [00:36:00] What's Next for Sapien: Growing to 1M+ taskers and scaling the AI gig economy. [00:39:00] How to Get Involved: Sapien is closing their Series A and looking for users to join their data platform.Connecthttps://game.sapien.io/https://www.linkedin.com/company/playsapien/https://x.com/playsapienhttps://www.linkedin.com/in/benjaminmnoble/DisclaimerNothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.Be a guest on the podcast or contact us - https://www.web3pod.xyz/

La empresa china Alibaba en su rama dedicada a la investigación con la IA ha creador PANDA, una IA capaz de detectar el cáncer de páncreas antes de que de la cara. 

SoftBank has backed some of the most game-changing startups of our time — Uber, Grab, TikTok — companies that reshaped how we move, eat, and connect.The man behind it is Masayoshi Son — a founder unlike any other. Bold, fearless, and sometimes reckless, Masa didn't just invest in companies, he devoured them. His empire stretched from Tokyo to Silicon Valley, built on billion-dollar bets, wild risk-taking, and the unshakeable belief that he could see the future before anyone else.But every empire comes at a price.This is the story of SoftBank — how one man from Japan took on the world's biggest tech giants, gambled billions, lost it all… and came back for more.Episode 1: Impress, Charm and DeceiveA young Masayoshi Son hustles his way through Silicon Valley — using every trick in the book...and outside it.Episode 2: The SoftBank MiracleBack in Japan, Masa builds SoftBank from nothing — surviving betrayal, bankruptcy, and even a terminal illness to become the king of Japan's software industry.Episode 3: Every Piece of ThemMasa goes global — buying tech magazines, trade fairs, Yahoo shares, and placing a life-changing bet on a then-unknown Chinese startup: Alibaba.Episode 4: Widening the NetAfter the Dot-Com Crash wipes out 96% of his wealth, Masa bets everything on broadband and mobile — taking on Japan's telecom giants and winning control of Vodafone Japan.Episode 5: WarchestDetermined to rule the future, Masa creates the $100 billion Vision Fund — a war chest so powerful it could turn founders into billionaires overnight — even if their companies were never built to last — all while setting his sights on Artificial Intelligence.-Our series is proudly sponsored by AlphaSense.-Access expert analyst reports, perfectly summarised by Gen-AI with precision and no hallucinations. Support our productions by  ⁠⁠⁠⁠⁠⁠⁠⁠booking your free trial ⁠⁠⁠⁠⁠⁠⁠⁠today.-Want to showcase your brand to listeners with a combined net worth of over $1 billion and a network of 100,000+ employees and industry contacts? Drop us an email: sales@1upmediapodcast.com-We're looking to grow our team! Support our productions by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠buying us a coffee⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠⁠-Want to meet the team? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow me here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!⁠⁠⁠⁠⁠⁠⁠⁠-If you love the style of Empires, and want similar content, check out:

Tonight, Lance reads us to sleep with part 1 of 2 nights with, Ali Baba and the Forty Thieves from Arabian Nights.Thanks for being part of the Dozing Off community.Sleep well!

TheoTrade's Don Kaufman remains a strong bear when it comes to his Big 3. He believes there's damage in Alibaba's (BABA) technicals that go beyond tariff concerns. On Netflix (NFLX), he doesn't see the streaming giant holding its all-time high. Don adds that Nvidia (NVDA) will face plenty of A.I. pressure from international competitors like Huawei. Rick shows the bearish and bullish trends in all three names.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

SoftBank has backed some of the most game-changing startups of our time — Uber, Grab, TikTok — companies that reshaped how we move, eat, and connect.The man behind it is Masayoshi Son — a founder unlike any other. Bold, fearless, and sometimes reckless, Masa didn't just invest in companies, he devoured them. His empire stretched from Tokyo to Silicon Valley, built on billion-dollar bets, wild risk-taking, and the unshakeable belief that he could see the future before anyone else.But every empire comes at a price.This is the story of SoftBank — how one man from Japan took on the world's biggest tech giants, gambled billions, lost it all… and came back for more.Episode 1: Impress, Charm and DeceiveA young Masayoshi Son hustles his way through Silicon Valley — using every trick in the book...and outside it.Episode 2: The SoftBank MiracleBack in Japan, Masa builds SoftBank from nothing — surviving betrayal, bankruptcy, and even a terminal illness to become the king of Japan's software industry.Episode 3: Every Piece of ThemMasa goes global — buying tech magazines, trade fairs, Yahoo shares, and placing a life-changing bet on a then-unknown Chinese startup: Alibaba.Episode 4: Widening the NetAfter the Dot-Com Crash wipes out 96% of his wealth, Masa bets everything on broadband and mobile — taking on Japan's telecom giants and winning control of Vodafone Japan.Episode 5: WarchestDetermined to rule the future, Masa creates the $100 billion Vision Fund — a war chest so powerful it could turn founders into billionaires overnight — even if their companies were never built to last — all while setting his sights on Artificial Intelligence.-Our series is proudly sponsored by AlphaSense.-Access expert analyst reports, perfectly summarised by Gen-AI with precision and no hallucinations. Support our productions by  ⁠⁠⁠⁠⁠⁠⁠booking your free trial ⁠⁠⁠⁠⁠⁠⁠today.-Want to showcase your brand to listeners with a combined net worth of over $1 billion and a network of 100,000+ employees and industry contacts? Drop us an email: sales@1upmediapodcast.com-We're looking to grow our team! Support our productions by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠buying us a coffee⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠⁠-Want to meet the team? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow me here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!⁠⁠⁠⁠⁠⁠⁠-If you love the style of Empires, and want similar content, check out:

TRANSLATION MENU: LOOK UPPER RIGHT BELOW THE SOCIAL MEDIA ICONS. IT OFFERS EVERY LANGUAGE AVAILABLE AROUND THE WORLD! ALSO, SOCIAL MEDIA AND PRINT ICONS ARE AT THE BOTTOM OF THIS POST!   Sixteen years on the streets, living and working with the people of China, Jeff               For donations,... The post China's Tech Titans (Alibaba, DeepSeek, et al.) versus USA's Magnificent Eight (Apple, Microsoft, et al.): it's getting embarrassing and nothing Trump does will stop the growing disparity. China Rising Radio Sinoland 250420 appeared first on CHINA RISING RADIO SINOLAND.

مجید حسینی‌نژاد، هم‌بنیان‌گذار گروه علی‌بابا (شامل برندهای شناخته‌شده‌ای مثل خود علی‌بابا و جاباما)، از چهره‌های تأثیرگذار و کارآفرینان شناخته‌شده در اکوسیستم استارتاپی ایرانه که صنعت سفر آنلاین رو متحول کرد.تو این قسمت، مجید داستان پر فراز و نشیب خودش و علی‌بابا رو بدون تعارف تعریف می‌کنه: از شروع کار بعد از یک شکست بزرگ مالی با انگیزه‌ی قویِ "نشونت میدم می‌تونم"، تا چالش‌های سخت مسیر، ورشکستگی‌های چندباره، و عبور از بحران‌هایی مثل کرونا.از سبک مدیریتی خاصش که به "دیکتاتوری مبتنی بر گفتگو" معروفه می‌گه، از اهمیت بالای توسعه فردی و خودآگاهی در فرهنگ سازمانی علی‌بابا، و نگاه منحصربه‌فرد و "منبسط‌کننده‌اش" به چالش‌ها و آینده ایران. می‌شنویم که این روزها بعد از واگذاری مدیرعاملی علی‌بابا، بیشتر روی چه مسائلی تمرکز داره.مقدمه، رویداد هوش مصنوعی و آشنایی اولیه - 00:00:00داستان شکل‌گیری علی‌بابا و ایده اولیه - 00:12:00مدیریت رشد و چالش‌های توسعه علی‌بابا - 00:24:00بحران‌ها، تعدیل نیرو و درس‌های دوره کرونا - 00:36:00فرهنگ سازمانی و مدل مدیریتی در علی‌بابا - 00:48:00نگرش فردی و اهمیت روانشناسی در کسب‌وکار - 01:00:00توسعه فردی، تجربیات شخصی و تأثیر بر زندگی - 01:12:00فلسفه زندگی، نگاه به آینده و جمع‌بندی نهایی - 01:24:00Majid Hosseini Nejad, Co-founder of Alibaba GroupMajid Hosseini Nejad, co-founder of Alibaba Group (including well-known brands such as Alibaba and Jabama), is among the influential figures and prominent entrepreneurs in Iran's startup ecosystem, recognized for revolutionizing the online travel industry.In this episode, Majid openly shares the ups and downs of his personal journey and Alibaba's story: from starting over after a significant financial failure fueled by the strong motivation of "I'll prove I can do it," to navigating tough challenges, multiple bankruptcies, and overcoming crises like COVID-19.He discusses his distinctive management style, famously known as "Dialogue-Based Dictatorship," emphasizes the critical importance of personal development and self-awareness within Alibaba's organizational culture, and shares his unique and expansive perspective on challenges and Iran's future.We'll also hear about the key areas he's focusing on these days after stepping down from the CEO role at Alibaba.مجید حسینی‌نژاد / Majid Hosseini Nejad, Founder of Alibaba Grouphttps://www.linkedin.com/in/majid-hosseini-nejad-41251844حامی این قسمتشرکت ارائه‌دهنده خدمات میزبانی وب - لیموهاست https://limoo.hostاطلاعات بیشتر درباره پادکست طبقه ۱۶ و لینک پادکست‌‌های صوتی https://linktr.ee/tabaghe16#پادکست #طبقه۱۶ Hosted on Acast. See acast.com/privacy for more information.

Hat OpenAI Netzwerkeffekte? Wieso baut OpenAI ein soziales Netzwerk und warum hat Mark Zuckerberg Mandarin gelernt? Temu stoppt Werbeausgaben und zwei andere chinesische Apps kommen ganz oben in die App Charts. Trumps Stargate Projekt macht Europe Great Again. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf doppelgaenger.io/werbung. Vielen Dank! Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) OpenAI Social Network (00:12:00) Temus US-Werbeausgaben (00:19:45) Taobao, DHgate App Charts (00:28:40) Zhipu IPO  (00:30:30) Figma IPO (00:32:05) Meta Antitrust  (00:42:15) Meta fragt nach Hilfe bei AI Investment (00:44:30) ASML Earnings  (00.47:50) Stargate Europe Great Again (00:48:50) Netflix Earnings (00:51:20) Cursor Support-AI Fail (00:53:15) Freenow Übernahme (00:56:45) Google Antitrust  (00:59:40) Trump (01:02:45) Elons NDAs  Shownotes OpenAI baut ein soziales Netzwerk The Verge Das von Alibaba unterstützte KI-Startup Zhipu strebt einen Börsengang bis 2025 an Bloomberg Temus US-Werbeausgaben brechen inmitten des eskalierenden Handelskriegs mit China ein Adweek Seit dem 9. April hat Temu alle seine Google Shopping-Anzeigen in den USA abgeschaltet. LinkedIn Taobao, DHgate oben in den US App Charts TechCrunch Alibaba-backed Start-Up Zhipu plant IPO dieses Jahr Bloomberg Figma, das Software-Einhorn, beantragt trotz der Turbulenzen an der Wall Street vertraulich einen Börsengang Fortune Einblicke in Mark Zuckerbergs gescheiterte Verhandlungen zur Beendigung des Kartellverfahrens WSJ Facebook-Whistleblower macht schockierende Behauptung über Mark Zuckerberg während einer Senatsanhörung YouTube Meta fragt bei AI Entwicklung um Hilfe The Information Cursor Support-AI framed Bug als Policy ycombinator Trumps Stargate Data Center Projekt in UK Sifted Google erneut als illegales Monopol beurteilt The New York Times Google Search wechselt weltweit auf .com 9to5Google Trump sagt EU Deal sei sicher Financial Times US entfernt Sanktionen für Orban Vertrauten The Guardian Jensen Huang fliegt nach China Financial Times Consumer Financial Protection Bureau Massenentlassung Wired Die Taktiken, mit denen Elon Musk seine „Legion“ von Babys - und deren Müttern - verwaltet WSJ BMW und Mercedes verkaufen Freenow an Lyft Manager Magazin SpaceX baut Trumps Raketenabwehr Golden Dome Reuters IQ & Geburtsmethode Studien: Ladelund et al. (2023, Dänemark) Curran et al. (2017, Schweden) Khadem & Khadivzadeh (2010, Iran) Smajlagić et al. (2019, Norwegen) Polidano et al. (2017, Australien) Blake et al. (2021, Systematischer Review)

In Part 2 of our conversation with Rui Ma on The Negotiation podcast, we explore the evolving consumer tech and innovation landscape in China beyond AI. Rui shares her analysis on the rise of local life services, humanoid robotics, and China's dominance in electric vehicles—highlighting the factors propelling growth and the remaining roadblocks.We also zoom out to explore the broader dynamics between the U.S. and China's tech ecosystems. Rui discusses rising tensions, how media and policy shape U.S. perceptions of Chinese tech, and whether meaningful collaboration is still possible.Finally, Rui reflects on the future of China tech and whether she still believes—as she's said before—that “the next China is China.” Listen for sharp insights, fresh perspectives, and a grounded look at where things might be headed.Discussion Points:The transformation of China's consumer tech and local life services landscapeChina's rise in the EV market and what's fueling itThe state of humanoid robotics in China vs. the U.S.U.S. public and governmental attitudes toward Chinese techHow geopolitical tensions are creating siloed ecosystemsThe role of Western media in shaping perceptions of Chinese innovationStrategies for fostering cooperation and countering biasRui's long-term outlook for China's tech sector

Quer começar a importar da China pelo Alibaba mas está com medo de não encontrar fornecedores confiáveis? Se liga nessas três dicas que separamos para você fazer uma boa pesquisa no maior site de vendas no mundo. Apresentamos três ferramentas que você pode e deve utilizar na hora de procurar seus produtos e fornecedores no Alibaba, para fazer uma importação com segurança e baixo custo. São três ferramentas do próprio Alibaba para você verificar a confiabilidade do fornecedor, como se ele já foi verificado (Verified Supplier) ou se aceita o pagamento pela própria plataforma (Trade Assurance).

Click the link in description to try and install: https://chromewebstore.google.com/detail/alibaba-lens/jjpbbahenfdgofabbgcnnfejgcigadpd?utm_source=ytkol_RyanHoguePassiveIncomeIn this video, I explored Alibaba Lens, a powerful visual search tool that helps you discover products simply by snapping a photo. I highlighted its key features, including Al-powered image recognition, real-time product matching, and instant shopping results from  @alibaba.comofficial  's massive marketplace.Unlike traditional search tools that rely on keywords, Alibaba Lens lets you search visually-making it faster and more accurate, especially when you don't know the name of what you're looking for.Sellers, buyers, and curious shoppers can all benefit from this tool-whether you're sourcing products, researching trends, or just looking for that one item you saw online or in person.

En este episodio, repasamos los temas más críticos del día: • Wall Street cae tras golpe a Nvidia: Los futuros retroceden tras conocerse que $NVDA necesita licencia especial para exportar chips H20 a China. $US100 -1.2%, $SPX -0.6%, $INDU +0.1%. Nvidia anticipa un cargo de hasta $5.5B. Hoy se publican ventas minoristas y producción industrial. Habla Powell. • Aranceles a China suben a 245%: La Casa Blanca confirma que algunas exportaciones chinas enfrentarán tarifas de hasta 245%. Incluyen productos médicos como jeringas. China no fue incluida en la pausa de aranceles de 90 días y designó nuevo negociador comercial. • EE.UU. restringe chips H20: $NVDA ya no podrá enviar su chip estrella sin aprobación federal. Alibaba, Tencent y ByteDance habían ordenado $16B en estos chips. Trump celebró que Nvidia invertirá $500B en supercomputación en EE.UU. • Trump lanza investigación sobre minerales críticos: Se analizará si las importaciones de litio, cobalto, níquel y tierras raras representan un riesgo para la seguridad nacional. China, que produce el 70% de las tierras raras, ya restringe exportaciones. El informe estará listo en 180 días. Un episodio clave para entender cómo la tecnología, la geopolítica y la seguridad nacional están convergiendo en esta nueva etapa de tensiones entre las dos mayores potencias del mundo.

Feeney laments being poor and fears big purchases; Rich joins the show late and is immediately questioned about what he's doing to the cat; What can happen when one shops on Alibaba.com; How ADHD really works for people; Rich lays out things he wants to do in Vegas this week, and Feeney backs out of going; We learn a shocking new fact about one of the eenie meanies; The Shining is overrated and other odd movie stories; Feeney forgets his age and how perceptions and abilities change the older you get, and pays for it; What are some comedies you can watch over and over again? Avoiding extra-curricular activities in strip clubs and other stories, and of course, all the usual perversions. Follow the guys on social mediaRaven - @theRavenEffectRich - @RichBocchiniFeeney - @jffeeney3rdGo meet Raven if you're in Indianapolis, or get yourself to Indianapolis to meet Raven at Squared Circle Expo V, April 25th - 26th!Find out more: https://www.squaredcirclex.com/ Buy some of Raven's old comics and other goods. Check out the store by Ask Danna at https://www.ebay.com/str/askdannaHave Raven say things that you want him to say, either for yourself or for someone you want to talk big-game shit to by going to http://www.cameo.com/ravenprime1Sign up for Patreon by going to http://www.patreon.com/TheRavenEffect it's only $5 a month! Get extra content AND watch the show!Become a supporter of this podcast: https://www.spreaker.com/podcast/the-raven-effect--5166640/support.

SoftBank has backed some of the most game-changing startups of our time — Uber, Grab, TikTok — companies that reshaped how we move, eat, and connect.The man behind it is Masayoshi Son — a founder unlike any other. Bold, fearless, and sometimes reckless, Masa didn't just invest in companies, he devoured them. His empire stretched from Tokyo to Silicon Valley, built on billion-dollar bets, wild risk-taking, and the unshakeable belief that he could see the future before anyone else.But every empire comes at a price.This is the story of SoftBank — how one man from Japan took on the world's biggest tech giants, gambled billions, lost it all… and came back for more.Episode 1: Impress, Charm and DeceiveA young Masayoshi Son hustles his way through Silicon Valley — using every trick in the book...and outside it.Episode 2: The SoftBank MiracleBack in Japan, Masa builds SoftBank from nothing — surviving betrayal, bankruptcy, and even a terminal illness to become the king of Japan's software industry.Episode 3: Every Piece of ThemMasa goes global — buying tech magazines, trade fairs, Yahoo shares, and placing a life-changing bet on a then-unknown Chinese startup: Alibaba.Episode 4: Widening the NetAfter the Dot-Com Crash wipes out 96% of his wealth, Masa bets everything on broadband and mobile — taking on Japan's telecom giants and winning control of Vodafone Japan.Episode 5: WarchestDetermined to rule the future, Masa creates the $100 billion Vision Fund — a war chest so powerful it could turn founders into billionaires overnight — even if their companies were never built to last — all while setting his sights on Artificial Intelligence.-Our series is proudly sponsored by AlphaSense.-Access expert analyst reports, perfectly summarised by Gen-AI with precision and no hallucinations. Support our productions by  ⁠⁠⁠⁠⁠⁠booking your free trial ⁠⁠⁠⁠⁠⁠today.-Want to showcase your brand to listeners with a combined net worth of over $1 billion and a network of 100,000+ employees and industry contacts? Drop us an email: sales@1upmediapodcast.com-We're looking to grow our team! Support our productions by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠buying us a coffee⁠⁠⁠⁠⁠⁠.⁠⁠⁠⁠⁠⁠-Want to meet the team? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow me here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!⁠⁠⁠⁠⁠⁠-If you love the style of Empires, and want similar content, check out:

Our 206th episode with a summary and discussion of last week's big AI news! Recorded on 04/07/2025 Try out the Astrocade demo here! https://www.astrocade.com/ Hosted by Andrey Kurenkov and Jeremie Harris. Feel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai Read out our text newsletter and comment on the podcast at https://lastweekin.ai/. Join our Discord here! https://discord.gg/nTyezGSKwP In this episode: Meta releases LlAMA-4, a series of advanced large language models, sparking debate on performance and release timing, with models featuring up to 2 trillion parameters for different configurations and applications. Amazon's AGI Lab debuts NOVA Act, an AI agent for web browser control, boasting competitive benchmarking against OpenAI's and Anthropic's best agents. OpenAI's image generation capabilities and ongoing financing developments, notably a $40 billion funding round led by SoftBank, highlight significant advancements and strategic shifts in the tech giant's operations. Timestamps + Links: (00:00:00) Intro / Banter Tools & Apps (00:01:46) Meta releases Llama 4, a new crop of flagship AI models (00:13:55) Amazon unveils Nova Act, an AI agent that can control a web browser (00:17:06) Alibaba Preparing for Flagship AI Model Release as Soon as April (00:17:59) Runway releases an impressive new video-generating AI model (00:19:10) Adobe launches Premiere Pro's generative AI video extender (00:20:54) OpenAI prepares reasoning slider and memory update for ChatGPT users Applications & Business (00:21:28) Nvidia H20 Chips: $16 Billion Orders from ByteDance, Alibaba, and Tencent (00:24:45) Elon Musk sells X for $33 billion to his own AI startup company xAI (00:28:00) SoftBank dethroned Microsoft as OpenAI's largest investor, pushing the ChatGPT maker's market cap to $300 billion — but reportedly buried itself in debt (00:30:48) DeepMind is holding back release of AI research to give Google an edge (00:34:06) SMIC Is Rumored To Complete 5nm Chip Development By 2025; Costs Could Be Up To 50 Percent Higher Than TSMC's Version Due To The Use Of Older-Generation Equipment (00:36:04) Google-backed Isomorphic Labs raises $600m to advance AI drug discovery Research & Advancements (00:38:03) PaperBench: Evaluating AI's Ability to Replicate AI Research (00:43:50) Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains (00:48:39) Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead (00:54:34) Overtrained Language Models Are Harder to Fine-Tune Policy & Safety (00:58:28) Taking a responsible path to AGI (01:02:32) This A.I. Forecast Predicts Storms Ahead (01:06:24) The Secrets and Misdirection Behind Sam Altman's Firing From OpenAI OpenAI's new image generation capabilities represent significant advancements in AI tools, showcasing impressive benchmarks and multimodal functionalities. OpenAI is finalizing a historic $40 billion funding round led by SoftBank, and Sam Altman shifts focus to technical direction while COO Brad Lightcap takes on more operational responsibilities., Anthropic unveils groundbreaking interpretability research, introducing cross-layer tracers and showcasing deep insights into model reasoning through applications on Claude 3.5. New challenging benchmarks such as ARC AGI 2 and complex Sudoku variations aim to push the boundaries of reasoning and problem-solving capabilities in AI models.

In this episode of The Negotiation, we're joined once again by Jacob Cooke, Co-founder and CEO of WPIC Marketing + Technologies. Jacob walks us through the key insights from WPIC's latest data report profiling the fastest-growing consumer segments in China's e-commerce market. Drawing from GMV data across Tmall, JD.com, and Douyin, the report reveals a story of recovery, consumer optimism, and evolving channel strategies.Jacob kicks off with an overview of China's current consumption environment, highlighting a return of consumer confidence fueled by government stimulus, higher disposable incomes, and a willingness to spend. He then breaks down performance across platforms, noting the rapid rise of Douyin and Xiaohongshu, and explaining how brands should adapt to a more fragmented, omnichannel landscape.We then dive into category-specific insights, from the booming beauty and fashion sectors to the rise of experiential consumption, pet care premiumization, and the ongoing expansion of health and wellness products. Jacob also discusses growth in outdoor and active lifestyle categories, with impressive gains in cycling, hiking, and ski gear.Stay tuned for an insight-packed discussion that challenges the doom-and-gloom narrative and positions China as a dynamic and essential market for global brands.Discussion PointsWhy consumer confidence is rebounding in China—and what that means for international brandsPlatform performance: Tmall and JD's staying power vs. Douyin's rise in social commerceXiaohongshu's triple-digit growth trajectory and strategic role for brand discoveryBeauty and fashion trends: science-backed skincare, expressive makeup, men's groomingThe suitcase boom: post-pandemic travel + lifestyle trends = experiential consumptionWhat's fueling China's demand for fish oil, vitamin B, and dietary fiberOutdoor gear goes mainstream: cycling, skiing, hiking, and the crossover with fashionPremiumization in pet care: what's behind the $11.2B marketRising spend in the mother and baby category despite falling birth ratesKey takeaways for brands: adopt an omnichannel, data-driven strategy for growth

In this episode of the Option Block, host Mark Longo is joined by Uncle Mike Tosaw from St. Charles Wealth Management and the Rock Lobster, Andrew Giovinazzi from The Option Pit. They analyze the unprecedented market moves and volatility driven by the global trade war and other economic factors. Discussions include the record-breaking options volumes, unusual options activity in United Wholesale Mortgage and Primo Brands Corp, and active and passive hedging strategies. Listeners also get to enjoy some fun segments like the 80s trivia challenge and a deep dive into trading activity with time-sensitive examples of strikes and premiums.   00:00 Introduction to Options Insider Radio Network 01:07 Welcome to the Option Block 01:55 Market Madness and Weekend Recap 03:49 80s Trivia Challenge 06:28 Trading Block: Market Analysis and Trends 12:58 Wild Times in the Options Market 28:47 Market Sentiment and Alphabet's Wild Day 29:54 Intel's Rollercoaster Week 30:47 Alibaba and the Impact of Tariffs 31:26 AMD's Volatile Performance 32:04 Palantir's Surprising Upswing 33:08 Bitcoin and the Monster's Market Madness 33:32 Amazon and Apple Under Pressure 35:14 Tesla's Turbulent Times 36:04 Nvidia's Market Dominance 37:43 Odd Block: Unusual Options Activity in UWMC and PRMB 46:20 Strategy Block: Hedging Techniques 51:14 Around the Block: Market Watch  

Kian Golzari returns for a record 6th time on SSP to share sourcing tips, tariff strategies for 2025, Canton Fair insights, & stories of custom iPhones for Real Madrid stars! ► Instagram: instagram.com/serioussellerspodcast ► Free Amazon Seller Chrome Extension: https://h10.me/extension ► Sign Up For Helium 10: https://h10.me/signup  (Use SSP10 To Save 10% For Life) ► Learn How To Sell on Amazon: https://h10.me/ft ► Watch The Podcasts On YouTube: youtube.com/@Helium10/videos World-renowned expert Kian Golzari makes history with his sixth appearance on our show, bringing unparalleled insights into the world of product sourcing and development. Discover his journey of delivering custom gold iPhones to Real Madrid's soccer icons, and explore innovative strategies to navigate the tariffs landscape in 2025. Kian offers a rare glimpse into the Canton Fair's pivotal role in global supply chains and extends a special opportunity for our listeners to connect with his personal sourcing agent in China, alongside a complimentary one-on-one call with him. Listeners are in for a treat as we explore the importance of self-care amid the entrepreneurial hustle. Kian shares his commitment to fitness through cold baths and workouts. We dive into the world of functional strength and endurance with events like Hyrox and embark on travel tales from the scenic landscapes of Wales to the cultural vibrancy of Scotland. Navigating the complexities of global sourcing and evolving tariffs becomes a breeze with our comprehensive guide, spotlighting platforms like Alibaba and the strategic "China plus one" approach. Kian shares his wisdom on building strong supplier relationships and leveraging the Canton Fair for direct connections with industry leaders. Embrace the future of product development as we discuss the role of AI, while reminding listeners of the irreplaceable value of human judgment in selecting the right factories. This episode promises a wealth of knowledge and inspiration for anyone in the e-commerce landscape. In episode 654 of the Serious Sellers Podcast, Bradley and Kian discuss: 00:00 - Expert on Product Sourcing and Development 01:56 - Connections With Global Superstars in Sports 06:01 - Discussing Hobbies, Travel, and Tariffs 16:35 - Navigating Global Sourcing and Tariffs 19:34 - Strategies for Beating Tariffs in 2025 20:45 - Navigating Canton Fair and Sourcing Strategies 24:09 - Traveling to China on a Budget 26:32 - Product Sourcing with AI Innovation 31:15 - Issues and Innovations in Product Development 32:30 - Amazon Conference, Summit Collaboration, Sourcing

In this week's episode of Market Mondays, we dive into the global economic storm brewing as Trump's proposed tariffs spark fears of a full-blown trade war. We unpack how these moves are shaking markets—from auto stocks taking a hit in Europe to Goldman Sachs raising the likelihood of a U.S. recession. Gold is hitting all-time highs, and we break down what that says about investor sentiment. Plus, we discuss which car brands, if any, might be worth a look right now, and whether major companies could start adding Bitcoin to their balance sheets as an economic hedge.We also take a deep look into the AI boom: who's set to benefit next in the ecosystem, and which companies are quietly leveraging NVIDIA's AI stack for future dominance. We review Dennis Fish's 2024 stock picks and play a high-stakes game of portfolio building from a curated list of major players like Netflix, HubSpot, Palo Alto, and Alibaba. To close out, we offer financial advice specifically for married couples looking to build together in uncertain economic times. Tap in!#MarketMondays #Gold #TrumpTariffs #AIStocks #Bitcoin #Recession #Investing #StockMarket #Finance #MarriedMoney #FinancialFreedom #EarnYourLeisure #NVDA #TradeWarTimestamps:12:10 – Biggest lesson learned this week15:55 – Gold hits all-time high21:38 – Trump's incoming tariff plans & market impact40:00 – Who will benefit next in the AI ecosystem?48:00 – Which company benefits most from NVDA's AI stack?52:30 – Dennis Fish's 2024 picks (CDNS, KLA, MELI) — Do we love them?57:00 – Building a portfolio from this stock list: INTU, ASTL, BKNG, HUBS, NFLX, PANW, PWR, BABA, CYBR1:08:30 – Trump tariffs shake Europe: Are any car stocks worth investing in?1:26:00 – Goldman Sachs raises recession odds to 35%: Trade war fallout1:31:00 – Will major companies start adding Bitcoin to hedge against downturns?1:34:10 – How uncertain are we as Q2 kicks off?1:48:00 – Financial advice for married couplesOur Sponsors:* Check out NerdWallet: https://www.nerdwallet.comSupport this podcast at — https://redcircle.com/marketmondays/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Building the Mosaic Dance Theatre Company with Morgiana Celeste Varricchio & Samara Adell Every dance company has its own unique journey and characteristics, from how it was founded to the style of dance it specializes in. Today, we're joined by the Producing Artistic Director and Founder of the Mosaic Dance Theatre Company (MDTC), Morgiana Celeste Varricchio, and the Artistic Director for Dance and Choreographer, Samara Adell. MDTC showcases the vibrant dance and folkloric heritage of the Mediterranean, spanning North Africa, the Middle East, and Southern Europe. Through captivating performances and educational initiatives, MDTC brings to life the region's music, myths, and traditions, preserving and sharing its cultural tapestry. In this conversation, Morgiana and Samara share how they discovered their affinity for Middle Eastern dance, why they felt it wasn't adequately represented in the US, and how they formed the Mosaic Dance Theatre Company. We discuss the many shows they've produced, including their special upcoming 20th-anniversary show, Visions of the Near East, how they manage their creative partnership, and the challenges of running a nonprofit. Tune in to hear the full scope of Morgiana and Samara's beautiful journey, from becoming friends to running a thriving company together! Key Points From This Episode: An introduction to Morgiana Celeste Varricchio and her dance journey. How she became involved with Middle Eastern dance and met Samara Adell. The success of Morgiana's production of Ali Baba and the Forty Thieves. How Morgiana and Samara founded the Mosaic Dance Theatre Company in 2005. Their mission to ensure Middle Eastern Dance was properly represented in the US. An overview of their productions, including their original show, Caravan to Cairo. Their upcoming production, Visions of the Near East Some background on Samara and how she became interested in dance. Her time working in New York and the extensive global touring she did as a dancer. The inner workings of Samara and Morgiana's creative partnership. How they prepare for, plan, rehearse, and arrange all the different elements of their shows. Standout experiences during their two decades with Mosaic. “We both agreed that Middle Eastern Dance was not represented properly in the professional world of dance. It is a very legitimate dance form, but not looked upon that [way] here in the US. It was our mission, then, to bring this dance to the public.” — Morgiana Celeste Varricchio Morgiana Celeste Varricchio is the Producing Artistic Director and Founder of Mosaic Dance Theater Company.  Samara Adell is Artistic Director for Dance & Choreographer of Mosaic Dance Theater Company. For more on this episode, Morgiana, and Samara: Movers & Shapers: A Dance Podcast For the latest, follow us on Instagram & Facebook Support this podcast with a tax-deductible donation! themovingarchitects.org/support  

Transitioning from a Product Manager to a Product LeadEver since I started my new role as product lead a few weeks back, I felt that there was a huge difference in the work and responsibilities I perform as compared to my PM roles back in Crypto.com and Alibaba.And I am not entirely sure if this is because of the role, or perhaps the nature of the company where the startup environment requires me to always be scrappy. But I am definitely loving every moment of it and I am constantly learning to be a better version of myself in this new role.With that being said, I wanted to share my experience and highlight some of the main changes I have identified to better prepare any first-time product leads out there.How to connect with AgileDad:- [website] https://www.agiledad.com/- [instagram] https://www.instagram.com/agile_coach/- [facebook] https://www.facebook.com/RealAgileDad/- [Linkedin] https://www.linkedin.com/in/leehenson/

Mitchell Green is the Founder and Managing Partner of Lead Edge Capital. Mitchell has led or co-led investments in companies including Alibaba, Asana, Benchling, ByteDance, Duo Security, Grafana, Mindbody, and Xamarin, among several others. In Today's Episode We Discuss: 04:31 How Bessemer Taught Me The One Golden Rule of Investing 06:48 Why AI Infrastrcture is the Worst Investment to Make 08:51 Why it is Comical to think there will be $BN one person companies? 09:26 WTF Happens To The Cohort of SaaS Companies With Slow Growth, Not Yet Profitable and $50M-$200M in Revenue 16:12 What is the Biggest Problem with the IPO Market 23:24 When is the Right Time to Sell in VC and How a Generation F******* it Up 27:37 Biggest Advice to Smaller Emerging Managers 40:13 The One Question That Tells You if a Business is Good 43:01 Why LPs are More Important than Founders 45:03 One Question Every LP Should Ask Their VCs 46:03 Why TikTok Does Not Matter to ByteDance and It Is a Screaming Buy 51:30 Why We Drastically Underestimate the Power of Chinese AI? 55:18 Why Social Media is the Most Dangerous Thing in Society 01:00:07 Quick Fire Questions  

Jim and Jeff discuss Alibaba's warning of a potential AI bubble in the U.S. and BTIG upgrading Capital One on Discover Financial deal prospects. Become a CNBC Investing Club member to go behind the scenes with Jim Cramer and Jeff Marks as they talk candidly about the market's biggest headlines. Signup here: cnbc.com/morningtake CNBC Investing Club Disclaimer