Podcasts about alibaba

This week Jim welcomes Rah Mahtani, the Head of Commercial Strategy US for Alibaba.com, the Chinese multinational technology company founded in 1999 by Jack Ma and 18 colleagues. Alibaba Group operates as a holding company for a wide array of businesses, including online retail, wholesale through Alibaba.com, logistics (Cainiao), cloud computing (Alibaba Cloud), and financial services (Ant Group). Alibaba.com is the world's largest B2B (business-to-business) platform.Rah has been at Alibaba for about 2.5 years, and was promoted to head of commercial strategy about two months ago. Before Alibaba, Rah had a career deeply grounded in social media and digital communications, with time at Volvo, Jack in the Box, and BMW's Mini brand. A graduate of Syracuse University, where he studied Industrial Design, Rah is a self-described lover of dogs, kids and candy. Tune in for a conversation with a marketer in the middle of the changing global trade landscape!---This week's episode is brought to you byDeloitte and StrawberryFrog.Learn more: https://strawberryfrog.com/jimSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

En el episodio de hoy de VG Daily, Eugenio Garibay y Valentina Orduz analizan el sorpresivo acuerdo entre la Unión Europea y Estados Unidos para extender la pausa en los aranceles del 50% a productos europeos, una noticia que mantiene en vilo a los mercados mientras continúan las negociaciones comerciales. Además, exploran el impacto en la bolsa tras la caída de acciones de PDD Holdings, la casa matriz de Temu, que enfrenta retos para mantener su crecimiento a pesar de haber superado a Alibaba en valor de mercado.El episodio también repasa la situación de Tesla, cuyas ventas en Europa han caído drásticamente, mientras BYD aprovecha para ganar terreno y lanza una agresiva reducción de precios en sus modelos eléctricos e híbridos. Finalmente, comentan el lanzamiento del nuevo SUV eléctrico de Xiaomi, el YU7, que promete revolucionar el mercado con su gran autonomía y potencia. Un episodio esencial para entender los movimientos clave en comercio internacional y la feroz competencia en la industria automotriz y tecnológica.

In part two of our Seller Strategy Masterclass, discover how to use Helium 10's Chrome Extension to uncover Amazon sales data, find product opportunities, and dramatically cut FBA costs—all with just a few clicks. ► 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 Join Shivali Patel as we continue our Seller Strategy Masterclass, where we focus on the power of the Helium 10 Chrome Extension for Amazon, Walmart, and TikTok Shop sellers. In this episode, Shivali explores how to harness this tool to estimate product sales, locate Alibaba suppliers, and optimize packaging to reduce costs. By highlighting lesser-known features like child-level variation sales and seller location insights, she offers guidance on leveraging these tools to gain a competitive edge. We'll also discuss the Amazon search bar as a product research strategy, utilizing long-tail keyword suggestions, title density analysis, and the significance of Amazon's related searches. Plus, Shivali introduces the Smart Complete feature, which offers fresh keyword suggestions from real user data. It provides new opportunities for sellers to enhance their product research and discover new niches in the Amazon marketplace. Listen in as we explore advanced product research techniques with the Xray tool from the Helium 10 Chrome extension. We'll show you how to use it beyond the typical search results page, applying it to Amazon's best sellers page and seller storefronts to validate product demand efficiently. We'll examine key metrics like seller location, listing age, and fulfillment type to assess market competitiveness and opportunities. By customizing product opportunity criteria with the two-factor success score, you'll learn how to evaluate niches efficiently. We also focus on understanding the intersecting factors influencing profitability in Amazon selling, like price and FBA fees, while exploring strategies to detect review manipulation. Whether you're a seasoned seller or just starting, this episode is packed with strategies to optimize your E-commerce business. In episode 668 of the Serious Sellers Podcast, Shivali talks about: 00:00 - Amazon Sales Strategy the Helium 10 Chrome Extension 08:11 - Real-Time Keyword Validation and Product Idea Generation 11:00 - Maximizing Amazon Keyword Data With Helium 10 Xray Keywords 12:18 - Advanced Product Research Techniques 16:39 - Efficient Product Opportunity Qualification Strategy 23:48 - Importance of Product Dimensions for Profits 23:52 - Amazon Product Profit Analysis 27:16 - Assessing Review Manipulation Risk Factors

¡Emprendeduros! En este episodio Rodrigo nos da una actualización de mercado donde habla del estatus del mercado, del viaje de Trump al Medio Oriente, de la baja de calificacion de los bonos soberanos, de la nueva propuesta de baja de impuestos y de los riesgos de deuda. Nos da los reportes de ingresos de Alibaba, Walmart, Home Depot, Palo Alto Networks y Snowflake. Después habla de las fusiones y adquisiciones de esta semana en el mercado. Finalmente, en la actualizacion de crypto habla de Coinbase y sus muy activas dos semanas. ¡Síguenos en Instagram! Alejandro: https://www.instagram.com/salomondrin Rodrigo: https://www.instagram.com/rodnavarro Emprendeduros: https://www.instagram.com/losemprendeduros

This week on Risqué Business News: Eurovision drama heats up with Israel's controversial second-place finish and a sus voting surge, Duolingo erases its entire TikTok presence after an AI backlash, and an influencer's $125 sweatshirt line may actually be Alibaba in disguise. We also cover a cop caught having sex with a suspect in his own patrol car, Nick Cannon insuring his balls for $10 million, and Justin Bieber continuing his streak as Hailey's worst hype man. Plus: hobosexuals, the real estate crisis of the dating world. Enjoy! Follow us on Instagram @Laurasogar and @mae_planert and you can watch full video of the episodes on YouTube.

Alibaba. Tencent. JD. Pinduoduo. Run down the list of China's most valuable companies and you'll find, for the most part, that they're all e-commerce companies—or at least facilitate e-commerce. The sector created giants: Alibaba grew from just 5.5 billion renminbi of revenue in 2010 to 280 billion last year. But how did Chinese e-commerce firms shut out their foreign competition? How did they build trust in the system? Lizhi Liu answers these questions in her latest book, From Click to Boom: The Political Economy of E-Commerce in China (Princeton University Press: 2024), where she also studies whether the “Taobao villages” really worked, and how we should think about the “crackdown” on China's tech sector in 2020 and 2021. Lizhi Liu is assistant professor at the McDonough School of Business at Georgetown University, where she is also a faculty affiliate of the Department of Government. You can find more reviews, excerpts, interviews, and essays at The Asian Review of Books, including its review of From Click to Boom. Follow on Twitter at @BookReviewsAsia. Nicholas Gordon is an editor for a global magazine, and a reviewer for the Asian Review of Books. He can be found on Twitter at @nickrigordon. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/east-asian-studies

Alibaba. Tencent. JD. Pinduoduo. Run down the list of China's most valuable companies and you'll find, for the most part, that they're all e-commerce companies—or at least facilitate e-commerce. The sector created giants: Alibaba grew from just 5.5 billion renminbi of revenue in 2010 to 280 billion last year. But how did Chinese e-commerce firms shut out their foreign competition? How did they build trust in the system? Lizhi Liu answers these questions in her latest book, From Click to Boom: The Political Economy of E-Commerce in China (Princeton University Press: 2024), where she also studies whether the “Taobao villages” really worked, and how we should think about the “crackdown” on China's tech sector in 2020 and 2021. Lizhi Liu is assistant professor at the McDonough School of Business at Georgetown University, where she is also a faculty affiliate of the Department of Government. You can find more reviews, excerpts, interviews, and essays at The Asian Review of Books, including its review of From Click to Boom. Follow on Twitter at @BookReviewsAsia. Nicholas Gordon is an editor for a global magazine, and a reviewer for the Asian Review of Books. He can be found on Twitter at @nickrigordon. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

Alibaba. Tencent. JD. Pinduoduo. Run down the list of China's most valuable companies and you'll find, for the most part, that they're all e-commerce companies—or at least facilitate e-commerce. The sector created giants: Alibaba grew from just 5.5 billion renminbi of revenue in 2010 to 280 billion last year. But how did Chinese e-commerce firms shut out their foreign competition? How did they build trust in the system? Lizhi Liu answers these questions in her latest book, From Click to Boom: The Political Economy of E-Commerce in China (Princeton University Press: 2024), where she also studies whether the “Taobao villages” really worked, and how we should think about the “crackdown” on China's tech sector in 2020 and 2021. Lizhi Liu is assistant professor at the McDonough School of Business at Georgetown University, where she is also a faculty affiliate of the Department of Government. You can find more reviews, excerpts, interviews, and essays at The Asian Review of Books, including its review of From Click to Boom. Follow on Twitter at @BookReviewsAsia. Nicholas Gordon is an editor for a global magazine, and a reviewer for the Asian Review of Books. He can be found on Twitter at @nickrigordon. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/chinese-studies

In this episode of the Power of Zero Show, host David McKnight addresses the claim that sees Paul Atkins owning 54 life insurance policies for an astounding 10% of his $327 million net worth. Someone may ask themselves why someone with such a massive net worth would own so many life insurance policies…and even why someone who has equity in Chinese tech giant Alibaba, holdings in cryptocurrency, and stakes in venture capital firms would also want their wealth growing in cash value life insurance policies. Looking at Atkins, who's President Trump's nominee to chair the Securities and Exchange Commission, can help understand how the ultra-wealthy view taxes and wealth accumulation. One possibility could be that Paul Atkins may have exhausted all of the usual sources of tax-deferred and tax-free growth available to him through government-sponsored retirement plans.  Something worth remembering: Cash Value Life Insurance policies don't have any income threshold, and they have no contribution limits at all. A second potential scenario that has led Atkins to have over 50 life insurance policies is that he might be looking for a way to diversify his holdings. David points out to the fact that owning shares in single stocks like Alibaba – like Atkins does – can be a fairly risky proposition. Cash value and life insurance policies like whole life or IULs, on the other hand, aren't exposed to market risk. There's yet another possibility: Atkins may not be the insured on all the policies. According to the ethics filings, the cash value of the policies in question ranges from as low as $1,000 to well over $1 million. For some experts, that may be a sign that Atkins is investing in life settlements. The final potential scenario is the one in which Atkins owns all the policies for the purpose of estate planning. David points out that there are many more efficient ways to purchase life insurance policies than buying 54 separate contracts David shares that he understands the concept of wanting to spread your risk out among multiple carriers, but feels that doing so through the purchase of 54 different policies is a bit extreme. David points out that diversifying away from the stock market with some of your portfolio is, typically, a good idea. Want safe and productive growth without the risks associated with traditional bond allocations? Look at cash value life insurance policies, says David. Remember: cash value life insurance can also be beneficial because many carriers allow you to receive your death benefit in advance of your death. While it's true that cash value life insurance isn't for everyone, Paul Atkins ethics disclosure shows that it can play a critical role in someone's long-term wealth-building strategy.     Mentioned in this episode: David's national bestselling book: The Guru Gap: How America's Financial Gurus Are Leading You Astray, and How to Get Back on Track DavidMcKnight.com DavidMcKnightBooks.com PowerOfZero.com (free video series) @mcknightandco on Twitter  @davidcmcknight on Instagram David McKnight on YouTube Get David's Tax-free Tool Kit at taxfreetoolkit.com Paul Atkins Alibaba

Follow the Prof G Markets feed: Apple Podcasts Spotify  Scott and Ed discuss why United Health's stock hit a five year low, Warner Bros. Discovery's latest move to rebrand Max, and Airbnb's foray into offering bookable services for travelers. They then break down earnings from Alibaba and Tencent, highlighting how the results signal the growing momentum of AI in China — and why they're feeling bullish on the country's tech sector. Finally, they dissect the GOP's proposed tax bill, explaining how it overwhelmingly favors the wealthiest Americans and threatens to accelerate wealth concentration across the country. Subscribe to the Prof G Markets newsletter  Order "The Algebra of Wealth," out now Subscribe to No Mercy / No Malice Follow the podcast across socials @profgpod: Instagram Threads X Reddit Follow Scott on InstagramFollow Ed on Instagram and X Learn more about your ad choices. Visit podcastchoices.com/adchoices

Apple and Alibaba shares under pressure after New York Times reporting that their deal to bring AI to Chinese iPhones is facing U.S. government scrutiny. We look at how as Apple feels the squeeze of Trump's trade policies, defense tech is winning big. 

En este episodio cubrimos los eventos más relevantes tras la apertura del mercado: • Wall Street cae por rebaja crediticia de Moody's: Los futuros bajan con fuerza tras la degradación de EE.UU. a Aa1 por parte de Moody's. $SPX -1.3%, $US100 -1.7%, $INDU -0.9%. El rendimiento del Treasury a 10 años sube a 4.54%. La agencia citó déficits persistentes y falta de disciplina fiscal. El mercado ahora se enfoca en comentarios de la Fed y el dato de indicadores líderes (-0.7% esperado). • Nvidia lidera Computex 2025 con nuevos lanzamientos: $NVDA presentó los sistemas GB300, el servidor RTX Pro y el DGX Cloud Lepton. Lanzó NVLink Fusion y anunció una fábrica de supercomputadoras en Taiwán con 10,000 GPUs Blackwell junto a Foxconn y $TSM. Los nuevos productos superan ampliamente al H100 y apuntan a dominar IA, con alianzas globales con Acer, Dell y HP. • Alibaba cae por escrutinio sobre acuerdo con Apple: $BABA -4.8% tras reportes de que Trump evalúa el pacto de integración de IA con $AAPL en iPhones vendidos en China. La tensión regulatoria y la competencia local aumentan, con caídas también en ventas de iPhones (-2.3%). Apple evalúa alternativas como $BIDU y $TCEHY, pero enfrenta un entorno hostil. • China restringe tierras raras, tensión para Tesla y Lockheed: China limita exportaciones clave tras nuevas reglas de licencia. Tesla $TSLA, Ford $F y Lockheed $LMT advierten por interrupciones. Solo algunas empresas como Yantai Zhenghai han recibido autorizaciones parciales. Analistas ven la movida como estratégica en plena disputa comercial con EE.UU. Un inicio de semana cargado de tensión geopolítica, innovación tecnológica y presión macroeconómica. ¡Dale play y mantente informado!

Descubre cómo transformar tu estrategia de ventas en Amazon con herramientas innovadoras que garantizan decisiones informadas y exitosas. Aprende a identificar productos con potencial de venta utilizando la extensión de Chrome de Helium 10, una herramienta gratuita que te permitirá analizar la demanda de mercado de manera eficiente antes de invertir en inventario. Conoce cómo esta herramienta se integra perfectamente con tu navegador para facilitar la búsqueda de productos en Alibaba y evaluar su interés potencial.  Enfréntate al competitivo mundo del comercio electrónico con estrategias claras y efectivas. Te mostramos cómo realizar un análisis de competencia detallado en plataformas como Amazon y Alibaba, evaluando palabras clave y comparando la demanda de productos como mocasines y estantes en forma de ataúd. No importa si tienes preferencias personales, aquí lo importante es ser objetivo para descubrir nichos poco explotados y con alta rentabilidad. Además, compartimos tácticas para proteger tu marca y propiedad intelectual, asegurando que terceros no autorizados no perjudiquen tu reputación. Optimiza cada aspecto de tu negocio en línea para maximizar la rentabilidad. Aprende a ajustar tamaños de empaques, crear kits de productos atractivos y usar herramientas como Profitability Calculator para calcular el impacto financiero de tus decisiones. No te pierdas nuestras recomendaciones sobre cómo colaborar con fabricantes y cómo anticipar la demanda para evitar problemas de inventario. Este episodio es un tesoro de ideas prácticas y consejos esenciales para cualquier vendedor que quiera destacar en el mundo del comercio electrónico. En el episodio #173 de Serious Sellers Podcast en Español, platicamos de: 00:00 - Masterclass De Extensión De Helium 10 10:53 - Análisis De Competencia en Amazon 19:03 - Oportunidades Y Competencia en Amazon 24:14 - Análisis De Stocks Y Demanda 38:35 - Optimización De Productos en Amazon 45:27 - Creación De Kits Para Vendedores

Ludwig Siegele, senior editor AI Initiatives at The Economist talks about how Chinese AI companies like DeepSeek and Alibaba are disrupting the status quo. They are building high-performing models at lower costs and releasing some of them as open source. How did they manage to pull this off and what does this mean for the global AI race? Ludwig joined The Economist as a US technology correspondent in 1998 and has covered the Silicon Valley since the Internet, as we know it, was born.

It's time for Rod and Tariq to catch up on headlines... and space dad jokes! We're going to update you on the ever-slimming NASA budget, the latest news on the Voyager spacecraft, what's up with the SLS, Orion capsule, and Artemis programs? SpaceX's 9th Starship test flight, AliBaba in orbit, and the end of the universe. And more space jokes than ever for you to choke on. Gilmore Space Launch Attempt: Gilmore Space's Ares rocket experienced a payload fairing separation on the pad before launch. NASA Budget Cuts & Artemis Program: Proposed budget cuts threaten NASA's Space Launch System (SLS), Orion capsule, and Lunar Gateway, sparking debate about the future of the Artemis program and a potential shift towards commercial solutions. Voyager 1 Thrusters: After 21 years of inactivity, Voyager 1 successfully fired its backup thrusters, ensuring continued communication from interstellar space. NASA Advisory Groups React: NASA advisory groups, including the Mars Exploration Program Advisory Group, expressed concern over budget cuts and their potential to hinder U.S. leadership in space exploration. Texas MARS Act: Texas Senator John Cornyn proposed allocating $1 billion for modernizing the Johnson Space Center. Intuitive Machines Update: Intuitive Machines plans to return to the moon in Q1 2026 with Intuitive Machines 3, having identified and addressed the causes of previous landing failures. SpaceX Starship Update: Elon Musk will provide an update on SpaceX's Mars plans before the next Starship test flight, frlight 9, addressing challenges like refueling the vehicle in space. The End of the Universe: Astrophysicists predict the universe's end, or "heat death", will occur sooner than previously thought, approximately 10 to the power of 78 years from now. China's Orbital Computing Sats: China launched its first 12 orbital computing satellites, part of a planned 2,800-satellite constellation designed to shift power-hungry computing and AI capabilities off-planet. Starlink Profitability: SpaceX's Starlink satellite internet business has generated $11.8 billion in revenue in 2024, surpassing its space transportation business. VIPER Lunar Rover: NASA may be working to save the VIPER lunar prospecting rover mission, which was previously canceled due to lander delays. Solar Flare Activity: The sun has unleashed a strong solar flare, an X2.7 magnitude, with the potential for increased auroras on Earth. Auroras on Mars: Perseverance rover images reveal the first visible light auroras on Mars from the planet's surface. Virgin Galactic Update: Virgin Galactic plans to launch its new Spaceship Delta fleet in early 2026 and resume ticket sales, with prices increases to come. Hosts: Rod Pyle and Tariq Malik Download or subscribe to This Week in Space at https://twit.tv/shows/this-week-in-space. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit

It's time for Rod and Tariq to catch up on headlines... and space dad jokes! We're going to update you on the ever-slimming NASA budget, the latest news on the Voyager spacecraft, what's up with the SLS, Orion capsule, and Artemis programs? SpaceX's 9th Starship test flight, AliBaba in orbit, and the end of the universe. And more space jokes than ever for you to choke on. Gilmore Space Launch Attempt: Gilmore Space's Ares rocket experienced a payload fairing separation on the pad before launch. NASA Budget Cuts & Artemis Program: Proposed budget cuts threaten NASA's Space Launch System (SLS), Orion capsule, and Lunar Gateway, sparking debate about the future of the Artemis program and a potential shift towards commercial solutions. Voyager 1 Thrusters: After 21 years of inactivity, Voyager 1 successfully fired its backup thrusters, ensuring continued communication from interstellar space. NASA Advisory Groups React: NASA advisory groups, including the Mars Exploration Program Advisory Group, expressed concern over budget cuts and their potential to hinder U.S. leadership in space exploration. Texas MARS Act: Texas Senator John Cornyn proposed allocating $1 billion for modernizing the Johnson Space Center. Intuitive Machines Update: Intuitive Machines plans to return to the moon in Q1 2026 with Intuitive Machines 3, having identified and addressed the causes of previous landing failures. SpaceX Starship Update: Elon Musk will provide an update on SpaceX's Mars plans before the next Starship test flight, frlight 9, addressing challenges like refueling the vehicle in space. The End of the Universe: Astrophysicists predict the universe's end, or "heat death", will occur sooner than previously thought, approximately 10 to the power of 78 years from now. China's Orbital Computing Sats: China launched its first 12 orbital computing satellites, part of a planned 2,800-satellite constellation designed to shift power-hungry computing and AI capabilities off-planet. Starlink Profitability: SpaceX's Starlink satellite internet business has generated $11.8 billion in revenue in 2024, surpassing its space transportation business. VIPER Lunar Rover: NASA may be working to save the VIPER lunar prospecting rover mission, which was previously canceled due to lander delays. Solar Flare Activity: The sun has unleashed a strong solar flare, an X2.7 magnitude, with the potential for increased auroras on Earth. Auroras on Mars: Perseverance rover images reveal the first visible light auroras on Mars from the planet's surface. Virgin Galactic Update: Virgin Galactic plans to launch its new Spaceship Delta fleet in early 2026 and resume ticket sales, with prices increases to come. Hosts: Rod Pyle and Tariq Malik Download or subscribe to This Week in Space at https://twit.tv/shows/this-week-in-space. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit

It's time for Rod and Tariq to catch up on headlines... and space dad jokes! We're going to update you on the ever-slimming NASA budget, the latest news on the Voyager spacecraft, what's up with the SLS, Orion capsule, and Artemis programs? SpaceX's 9th Starship test flight, AliBaba in orbit, and the end of the universe. And more space jokes than ever for you to choke on. Gilmore Space Launch Attempt: Gilmore Space's Ares rocket experienced a payload fairing separation on the pad before launch. NASA Budget Cuts & Artemis Program: Proposed budget cuts threaten NASA's Space Launch System (SLS), Orion capsule, and Lunar Gateway, sparking debate about the future of the Artemis program and a potential shift towards commercial solutions. Voyager 1 Thrusters: After 21 years of inactivity, Voyager 1 successfully fired its backup thrusters, ensuring continued communication from interstellar space. NASA Advisory Groups React: NASA advisory groups, including the Mars Exploration Program Advisory Group, expressed concern over budget cuts and their potential to hinder U.S. leadership in space exploration. Texas MARS Act: Texas Senator John Cornyn proposed allocating $1 billion for modernizing the Johnson Space Center. Intuitive Machines Update: Intuitive Machines plans to return to the moon in Q1 2026 with Intuitive Machines 3, having identified and addressed the causes of previous landing failures. SpaceX Starship Update: Elon Musk will provide an update on SpaceX's Mars plans before the next Starship test flight, frlight 9, addressing challenges like refueling the vehicle in space. The End of the Universe: Astrophysicists predict the universe's end, or "heat death", will occur sooner than previously thought, approximately 10 to the power of 78 years from now. China's Orbital Computing Sats: China launched its first 12 orbital computing satellites, part of a planned 2,800-satellite constellation designed to shift power-hungry computing and AI capabilities off-planet. Starlink Profitability: SpaceX's Starlink satellite internet business has generated $11.8 billion in revenue in 2024, surpassing its space transportation business. VIPER Lunar Rover: NASA may be working to save the VIPER lunar prospecting rover mission, which was previously canceled due to lander delays. Solar Flare Activity: The sun has unleashed a strong solar flare, an X2.7 magnitude, with the potential for increased auroras on Earth. Auroras on Mars: Perseverance rover images reveal the first visible light auroras on Mars from the planet's surface. Virgin Galactic Update: Virgin Galactic plans to launch its new Spaceship Delta fleet in early 2026 and resume ticket sales, with prices increases to come. Hosts: Rod Pyle and Tariq Malik Download or subscribe to This Week in Space at https://twit.tv/shows/this-week-in-space. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit

The tech titans' grip on markets may be loosening—what’s next for investors? Hosted by Michelle Martin, this episode welcomes Tim Phillips, Founder of TimTalksMoney, to unpack the underperformance of the 'Magnificent Seven' and whether a turning point is near. We explore smarter ETF diversification beyond the S&P 500, the strategic edge of global indices, and how to navigate softer T-bill rates. Plus, a close look at big bank earnings and why DBS might still have room to run. Is it time to rebalance your portfolio, trim tech, and lean into global growth? Companies featured: Apple, Microsoft, NVIDIA, Alibaba, DBS, Berkshire Hathaway, Coinbase, Constellation Brands. See omnystudio.com/listener for privacy information.

Singapore Airlines is soaring to record profits—but is the runway clear ahead? Hosted by Michelle Martin with Ryan Huang, today’s Market View dives into SIA’s 65% earnings surge and the 7-month bonus bonanza. We unpack SingPost’s worst day ever, IPO drought woes on SGX, and Warren Buffett’s latest trades. Plus, we play UP or DOWN with Alibaba, Coinbase, Walmart, and oil prices. DBS and ST Engineering shine locally while Genting Singapore stumbles. Here more of the ups or downs of Singapore Airlines, SingPost, SGX, Berkshire Hathaway, Alibaba, Coinbase, Walmart, DBS, ST Engineering, Genting Singapore, Constellation Brands.See omnystudio.com/listener for privacy information.

En el episodio de hoy de VG Daily, Andre Dos Santos y Juan Manuel de los Reyes abordan tres de los temas más relevantes del día en los mercados globales. Arrancan analizando la publicación del PPI, y como la presión inflacionaria y el impacto de los nuevos aranceles empiezan a afectar el sector retail con los resultados publicados hoy de Walmart y Alibaba.Luego analizan la fuerte caída de UnitedHealth, profundizando en las causas detrás del desplome de la acción, la salida de su CEO y la reciente investigación criminal por presunto fraude en Medicare, que ha incrementado la incertidumbre sobre el futuro del gigante de la salud.El episodio concluye con el anuncio de la adquisición de Foot Locker por parte de Dick's Sporting Goods, analizando las implicaciones estratégicas y la reacción del mercado ante este inesperado movimiento.

European equities are subdued awaiting US data and Fed Chair Powell; US equity futures also tilt lower (ES -0.6%).DXY is subdued and contained whilst havens seen some inflows amid the broader risk tone.Fixed income benchmarks trade slightly firmer into US data and Fed Chair Powell's speech. Crude futures are curtailed by Trump suggesting the US is getting close to a deal with Iran, while metals await data & Powell.Looking ahead, highlights include US NY Fed Manufacturing, Jobless Claims, Philly Fed Index, PPI, Retail Sales & Industrial Production, IEA OMR, Speakers include ECBʼs de Guindos; Fed Chair Powell & Barr, BoEʼs Dhingra. Earnings from Applied Materials, Take-Two, Alibaba, Walmart, Deere.Read the full report covering Equities, Forex, Fixed Income, Commodites and more on Newsquawk

APAC stocks were predominantly lower following the mixed handover from Wall St, where the major indices were somewhat choppy and small caps underperformed as yields edged higher.US equity futures were lacklustre with participants awaiting comments from Fed Chair Powell and a slew of US data releases.European equity futures indicate a slightly lower cash market open with Euro Stoxx 50 futures down 0.3% after the cash market finished with losses of 0.2% on Wednesday.Iran is ready to sign an agreement with certain conditions in exchange for the lifting of sanctions and would commit to never making nuclear weapons, as well as getting rid of its stockpiles of highly enriched uranium, according to a top advisor to the Supreme Leader cited by NBC News.Russian President Putin was not on a list of negotiators the Kremlin published for talks with Ukraine in Istanbul on Thursday.Looking ahead, highlights include German Wholesale Price Index, UK GDP, EZ Employment & GDP, US NY Fed Manufacturing, Jobless Claims, Philly Fed Index, PPI, Retail Sales & Industrial Production, IEA OMR, Speakers include ECB's Cipollone, Elderson & de Guindos, Fed Chair Powell & Barr, BoE's Dhingra, Supply from US.Earnings from Applied Materials, Take-Two, Alibaba, Walmart, Deere, Deutsche Telekom, Siemens, Allianz, Merck, Thyssenkrupp, RWE, Siemens, National Grid, United Utilities & Richemont.Read the full report covering Equities, Forex, Fixed Income, Commodites and more on Newsquawk

Opsporing verzocht. Apple wordt aangevallen door iemand uit eigen land. Hij draagt vaak een rood petje, gebruikt een bronzer en heeft een lange stropdas. Je hoort het goed: president Trump heeft de aanval geopend op Apple.Hij is helemaal klaar met Tim Cook, laat 'ie weten. Die is productie van China naar India aan het verplaatsen. iPhones moeten voortaan in India gemaakt worden, om zo Trumps heffingen te ontlopen. Tot woede van Trump, die wil juist dat de telefoons in Amerika worden gemaakt.Apple zit door de ruzie in een onmogelijke positie. Of het blijft in China en betaalt zich scheel aan heffingen. Of Apple gaat voor India, maar dan heeft het ruzie met Trump. Gaat het naar de VS, dan heeft Apple ruzie met klanten. Want die moeten dan honderden dollars meer betalen... Deze aflevering proberen we Cook (en jou als Apple-belegger) op weg te helpen met dat vraagstuk. Praten we ook over Netflix. Dat heeft juist een luxeprobleem. Het gaat ten onder aan zijn eigen succes!Ook hebben we het over het vertrek van Hein Schumacher bij Unilever. Die ging (totaal onverwachts) ineens via de achterdeur weg. We weten nu de reden.Verder hebben we het over de cijfers van Alibaba, die belangrijker zijn dan ooit. Die van Walmart, belangrijker dan ooit. En we vertellen je welke autobouwer het gigantisch goed doet. Je hoort het goed: een autobouwer, die het in deze tijd goed doet.See omnystudio.com/listener for privacy information.

Die Aktie von Foot Locker steht im Rampenlicht, denn sie explodiert um über 82 %, nachdem das Unternehmen eine Fusion mit Dick's Sporting Goods im Volumen von 2,4 Milliarden US-Dollar angekündigt hat. Der Markt wartet gespannt auf Konjunkturdaten. Erzeugerpreise stehen dabei im Fokus. Die Aktienfutures geben am Donnerstagmorgen nach – trotz eines positiven Wochenverlaufs, der vom vorübergehenden Zollfrieden zwischen den USA und China geprägt war. Weniger erfreulich: United Health verliert 6 %, nachdem das Wall Street Journal von Ermittlungen des US-Justizministeriums berichtet. Laut CNBC wurde der Konzern bislang nicht offiziell informiert. Ein Podcast - featured by Handelsblatt. +++Erhalte einen exklusiven 15% Rabatt auf Saily eSIM Datentarife! Lade die Saily-App herunter und benutze den Code wallstreet beim Bezahlen: https://saily.com/wallstreet +++ +++EXKLUSIVER NordVPN Deal ➼ https://nordvpn.com/Wallstreet Jetzt risikofrei testen mit einer 30-Tage-Geld-zurück-Garantie!+++ +++ Alle Rabattcodes und Infos zu unseren Werbepartnern findet ihr hier: https://linktr.ee/wallstreet_podcast +++ Der Podcast wird vermarktet durch die Ad Alliance. Die allgemeinen Datenschutzrichtlinien der Ad Alliance finden Sie unter https://datenschutz.ad-alliance.de/podcast.html Die Ad Alliance verarbeitet im Zusammenhang mit dem Angebot die Podcasts-Daten. Wenn Sie der automatischen Übermittlung der Daten widersprechen wollen, klicken Sie hier: https://datenschutz.ad-alliance.de/podcast.html

Marc Ribes, cofundador y CEO de Blackbird Broker, analiza los títulos de Alibaba, Endesa, Talgo, Repsol, Rocket Lab, 2G Energy o Saint Gobain, entre otros

The U.S. and China on Monday agreed to suspend most tariffs on each other's goods in a move that shows a thawing of trade tensions between the world's two largest economies.~This Episode is Sponsored By Coinbase~ Buy $50 & Get $50 for getting started on Coinbase➜ https://bit.ly/CBARRON00:00 Intro00:14 Sponsor: Coinbase00:43 Over the weekend01:50 Scott B: This is a 90-day pause03:16 America to “open-up” business in China03:56 Trump: Open trade w/China is more important than tariffs05:37 Scott B: What happens after the 90-days06:25 Mohamed El-Erian: What we know for sure08:03 Prescription drug prices reduced09:02 US recession odds09:45 Bitcoin all-time highs soon?11:22 ETFs exploding12:03 Coinbase Institutional: ETFs vs Spot13:40 Tax Bill updates14:05 Bloomberg: House GOP tries to reach deal on Tax Plan16:48 ETH flips Alibaba & Coca-Cola17:50 Utility season18:17 Outro#Trump #Tariffs #Crypto~Tariffs Over?

TakeawaysSingles' Day started as an informal celebration for singles in China.Alibaba transformed Singles' Day into a massive shopping event in 2009.The festival now surpasses Black Friday and Cyber Monday in sales.Consumer behavior is shifting toward value-add promotions, not just discounts.Outdoor sportswear saw a 70% increase in sales during Singles' Day 2024.Engagement metrics are becoming more important than gross merchandise value.Logistics and supply chain management are critical for Singles' Day success.The festival's influence is spreading to Southeast Asia and beyond.Brands need to prepare early and differentiate their offerings.Monitoring consumer sentiment is key for predicting sales outcomes.Chapters00:00 This Week in Research: New Reports and Data02:14 The Evolution of Singles' Day: From Celebration to Shopping Bonanza04:44 Recent Trends and Spending Patterns During Singles' Day09:05 Shifts in Consumer Behavior and Preferences13:15 Looking Ahead: Expectations for Singles' Day 202518:10 Global Influence of Singles' Day Beyond China22:25 Final Thoughts and Key Takeaways for Brands Dive into our comprehensive insights with the new research report: How Will Tariffs Impact China's Singles' Day 2025? Six Months To Go—What Brands and Retailers Need to KnowThis report is available exclusively for Coresight Research premium subscribers. To become a premium subscriber, email contactus@coresight.com.

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/

S&P Futures are displaying strong gains this morning as markets react to the latest news on the U.S. and China trade talks. The U.S. & China will be lowering tariffs by 115% for the next 90 days and agreed to continue trade talks. Healthcare stocks are weakening as President Trump is expected to sign an executive order on drug pricing today. Defense stocks are on watch as Russia and Ukraine appear ready for peace talks. House Republicans have released a new plan to cut Medicaid spending, opting for a compromise approach after internal debate between party centrists and hardliners. the House GOP plan represents a significant but less extreme reduction in Medicaid spending, shaped by intraparty negotiations and concerns over the potential impact on vulnerable populations. Earnings season remains in focus, with major reports due out this week from Cisco, Tencent, Alibaba, SoftBank, Walmart, and Target. 

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:

The market's roaring back—but most traders are late to the party. The Nasdaq is already in overbought territory and making its move. Once the hype cools off, a short-term pullback feels inevitable. Timing isn't just about nailing the intraday low—it's about seeing the bigger picture.This week's lineup is loaded: CPI drops Wednesday, PPI hits Thursday, and heavyweights like JD, Alibaba, and Walmart report earnings. Volatility? Count on it.Meanwhile, with the China tariff storm finally clearing, NIO might just have room to run. The $1,000 challenge could be headed for new highs.All that and more in this week's "Trading Tips With Jim."stock market, investing, Nasdaq, trading tips, CPI report, PPI data, earnings season, JD earnings, Alibaba earnings, Walmart earnings, NIO stock, China tariffs, short-term trading, market analysis, financial news, trading strategies, market update, overbought market, $1000 challenge, economic data, swing trading, investor mindset, trading psychology, growth stocks, inflation outlook

Onverwachts was er ineens een deal. Of nou ja een pre-deal, want de echte deal moet nog komen. Hoe dan ook, China en de VS nemen even een pauze in de handelsoorlog. De tarieven worden enorm verlaagd en in de tussentijd gaan ze met elkaar onderhandelen. Deze aflevering kijken we wat de Chinezen en Amerikanen nog meer inbrengen in de onderhandelingen. Wordt China meer open voor de VS bijvoorbeeld, zoals Trump zegt. En wat heb jij er als belegger aan? De meeste beleggers lopen de polonaise deze beursdag, behalve die in de farmaceutische industrie. Trump kwam (totaal onverwachts) met de mededeling dat de prijzen van medicatie naar beneden moeten. En dat betekent: drastisch.Voor Elon Musk ziet het er ook niet goed uit. Een deel van zijn personeel is gaan muiten en wil dat Musk ontslagen wordt. Deze uitzending kijken we hoe Musk deze hobbel nu weer moet nemen.Maar ook hebben we het over vliegtuigen, want we bespreken de flinke bonussen bij 'De Blauwe Zwaan'. Verder gaat het over een peperduur vliegtuig dat Trump krijgt en brengen we hem wat topografische kennis bij. Mattel beste Trump, is geen land.See omnystudio.com/listener for privacy information.

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

Amidst headlines proclaiming economic doom from Trump's tariffs, a surprising reality emerges: Chinese exports to the United States represent a mere 2.3% of China's GDP. This revealing statistic underscores China's remarkable transformation from an export-driven economy to one powered by domestic consumption and services.Henry Greene, Investment Strategist at KraneShares, breaks down this economic evolution with remarkable clarity. China's exports to America have plummeted from over 25% of total exports in 2006-2010 to just 14% today, while their manufactured goods exports represent only about 11% of GDP. For investors concerned about Chinese internet companies, the news grows even more intriguing – less than 2% of revenues from KWeb portfolio companies (including Alibaba, PDD, Tencent, and Meituan) originate from American consumers. Only PDD Holdings, with its popular Temu app, faces meaningful exposure at roughly 15% of revenue.The conversation explores several misconceptions plaguing market narratives. Concerns about Chinese company delistings from U.S. exchanges largely rehash existing policies from the 2020 Holding Foreign Companies Accountable Act, rather than representing new threats. Similarly, trade tensions around Taiwan reflect long-standing political posturing rather than imminent geopolitical shifts. Meanwhile, Chinese internet valuations remain compelling at roughly 17% earnings multiples compared to 30% for U.S. tech counterparts.Looking forward, multiple growth catalysts remain intact regardless of trade negotiations. Artificial intelligence development continues at pace with companies like Alibaba introducing increasingly efficient models. Consumer confidence has room to recover from pandemic-era lows. Perhaps most promising, cloud computing penetration among Chinese businesses sits at just 50% – substantially below Western rates and echoing the internet adoption curve that powered earlier growth cycles.Discover how savvy investors are navigating this complex landscape using strategies like balanced onshore/offshore exposure, covered calls, buffer products, and Asian fixed income to capitalize on China's economic resilience while managing volatility. Subscribe to KraneShares.com or ChinaLastNight.com for ongoing market insights that challenge mainstream narratives with data-driven analysis. Sign up to The Lead-Lag Report on Substack and get 30% off the annual subscription today by visiting http://theleadlag.report/leadlaglive. Foodies unite…with HowUdish!It's social media with a secret sauce: FOOD! The world's first network for food enthusiasts. HowUdish connects foodies across the world!Share kitchen tips and recipe hacks. Discover hidden gem food joints and street food. Find foodies like you, connect, chat and organize meet-ups!HowUdish makes it simple to connect through food anywhere in the world.So, how do YOU dish? Download HowUdish on the Apple App Store today:

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.

Alibaba's groundbreaking "ZeroSearch" technology is poised to disrupt the search engine landscape, offering a powerful alternative to Google at an astonishing 88% lower cost.Try AI Box: ⁠⁠https://AIBox.ai/⁠⁠AI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/about

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

Votación Premios Rankia 2025 - Categoría Mejor Academia de Formación

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

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

EPISODE 86 -  “ANNA MAY WONG: CLASSIC CINEMA STAR OF THE MONTH” - 5/5/2025 Anna May Wong was once the most famous Chinese woman in the world. The trailblazing actress, philanthropist, and fashion icon appeared in over 60 films and was a celebrated star, yet, at the time, she was not allowed to kiss a Caucasian man on screen, which limited the roles she could take, and she was not allowed to buy a house in Beverly Hills. A strange dichotomy, indeed. In recent years, she has enjoyed a much-deserved resurgence. Known as a Trailblazer and a cultural icon, she paved the way for generations of Asian and Asian American actors by proving that talent and perseverance could transcend racist casting conventions. Her life and career continue to influence conversations about diversity, representation, and the politics of race in Hollywood. This week, she is our Star of the Month. SHOW NOTES:  AVA GARDNER MUSEUM: If you would like to make a donation to help support the Ava Gardner Museum in Smithfield, N.C. (Ava'a hometown!), please click on the following link: https://ava-gardner-museum.myshopify.com/products/donations Sources: Not Your China Doll (2924), by Katie Gee Salisbury; Anna May Wong: From Laundryman's Daughter to Hollywood Legend (2012), by Graham Russell Gao Hodges; Anna May Wong: A Complete Guide to Her Film, Stage, Television, and Radio Work (2010), by Philip Leibfried and Chei Mi Lane; Perpetually Cool: The Many Lives of Anna May Wong (2003), by Anthony B. Chan; “Anna May Wong: 13 Facts About Her Trailblazing Hollywood Career,” April 30, 2024, By Minhae Shim Roth; “Anna May Wong's Long Journey from Hollywood to the Smithsonian,” March 2024, by Ryan Lintelman, Natural Museum of American History; “Anna May Wong Will Be the First Asian American on US Currency,” October 18, 2022, by Soumya Karlamangla; “Anna May Wong is Dead At 54; Actress Won Movie Fans in '24; Appeared with Fairbanks in ‘Thief of Bagdad,' Made Several Films Abroad,” February 4, 1961, The New York Times; Wikipedia.com; TCM.com; IBDB.com; IMDBPro.com; Movies Mentioned:  Phantom Of The Opera (1943), starring Claude Rains, Eddy Nelson, & Suzanna Foster; The Spider Woman Strikes Back (1946), starring Gale Sondergaard & Brenda Joyce; White Savage (1943), starring Maria Montez, Jon Hall, and Sabu; Ali Baba and the Forty Thieves (1944), starring Maria Montez & Jon Hall; It Grows On Trees (1952), Irene Dunne & Dean Jagger; Impact (1949), starring Brian Donlevy, Ella Raines, Helen Walker, & Anna May Wong; The Red Lantern (1919), starring Alla Nazimova; The Toll of the Sea (1922), staring Kenneth Harlan & Anna May Wong; The Thief of Baghdad (1924), starring Douglas Fairbanks & Anna May Wong; Picadilly (1929), starring Gilda Gray & Anna May Wong; Daughter of the Dragon (1931), starring Anna May Wong and Warner Orland; Shanghai Express (1932), starring Marlene Dietrich & Anna May Wong; The Hatchet Man (1932), starring Loretta Young; The Mask of Fu Manchu (1932), starring Myrna Loy; The Son-Daughter (1932), starring Helen Hayes; Tiger Bay (1934), starring Anna May Wong; Chu Chen Chow (1934), starring Anna May Wong; Java Head (1934), starring Anna May Wong; Limehouse Blues (1934), starring George Raft, Jean Parker, & Anna May Wong; The Good Earth (1937), starring Paul Muni & Luise Rainer; Daughter of Shanghai (1937), starring Anna May Wong & Philip Ahn; King of Chinatown (1939), starring Anna May Wong & Sidney Toler; Dangerous to Know (1938), starring Gail Patrick & Anna May Wong;  Island of Lost Men (1939), starring Anna May Wong & J. Carrol Naish; Bombs Over Burma (1942), starring Anna May Wong; Lady From Chungking (1942), starring Anna May Wong; Portrait in Black (1960), starring Lana Turner, Anthony Quinn, & Sandra Dee; Learn more about your ad choices. Visit megaphone.fm/adchoices

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:

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.

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.

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.

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/