Podcasts about 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

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!

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

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.

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 shares dipped today as optimism surrounding cooling global trade tensions fizzled off. The Straits Times Index was down 0.18% at 3,884.83 points at about 12.17pm Singapore time, with a value turnover of S$500.29M in the broader market. In terms of counters to watch today, we have Singapore Airlines. The company posted a 65 per cent rise in net profit to S$2 billion for the second half of FY2025 ended March. This lifted the group’s full-year net profit to a record S$2.8 billion. Elsewhere, from Singapore’s key exports jumping 12.4 per cent on the year, to Walmart’s CEO warning of price increases caused by US President Donald Trump’s tariffs on imports – more economic and corporate headlines remained in focus. Also on deck – a breakdown of Chinese big tech earnings out this week. On Market View, Money Matters’ finance presenter Chua Tian Tian unpacked the developments with Benjamin Goh, Head of Research and Investor Education, SIAS.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.

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

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

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

Er is weer veel gebeurd, dat werden we hier gewaar! Deze week bespreken we nieuwe modellen van Google, Mistral en Alibaba, onduidelijkheid rond AI-training op SoundCloud, en een verrassend rapport van het Copyright Office.In de deep dive hebben we het over Klarna's bocht terug naar menselijke klantendienst, in de tool tip hebben we het over een nieuwe concurrent voor Duolingo, en als afsluiter: Google's logo kreeg voor het eerst in tien jaar een upgrade. Mét gradient. Wauw!Tech scoopsGoogle's Gemini 2.5 Pro is here with bigger numbers and great vibesAlibaba unveils advanced Qwen 3 AI as Chinese tech rivalry intensifiesSoundCloud changes policies to allow AI training on user contentTrump fires Copyright Office chief after report opposes AI fair useUnveiling our innovative new TV experienceAI-powered bots post controversial arguments in real Reddit experimentDeep diveKlarna reinvests in human talent after AI chatbot backlashTool tipHow It's Made: Little Language Lessons uses Gemini's multilingual capabilities to personalize language learningWatercooler show-offGoogle updates its G logo with subtle but significant changes

Een nieuwe aflevering van Blik op de beursweek die ouderwets tot de nok toe gevuld is. Alles wat je als belegger vandaag moet weten komt weer voorbij: De deal tussen de VS en China. De spagaat van Jerome Powell. De ups & downs van Alibaba, Walmart en Dick's. En dat allemaal in nog geen twintig minuutjes. Luisteren dus; de nieuwste Blik op de beursweek.! Dagelijkse updates, uitgebreide analyses, inspiratie voor duurzaam beleggen en meer info bij deze podcast vind je op: ing.nl/beursnieuws. Beleggen brengt risico's met zich mee. Je kunt je inleg of een deel hiervan verliezen.

Asian markets swing as China-US trade euphoria fades; Chinese stocks rally as Tencent, Alibaba report earnings; Frasers Property offers to privatise their trust. Synopsis: Market Focus Daily is a closing bell roundup by The Business Times that looks at the day’s market movements and news from Singapore and the region. Written and hosted by: Emily Liu (emilyliu@sph.com.sg) Produced and edited by: Chai Pei Chieh & Claressa Monteiro Produced by: BT Podcasts, The Business Times, SPH Media --- Follow Market Focus Daily and rate us on: Channel: bt.sg/btmktfocus Amazon: bt.sg/mfam Apple Podcasts: bt.sg/mfap Spotify: bt.sg/mfsp YouTube Music: bt.sg/mfyt Website: bt.sg/mktfocus Feedback to: btpodcasts@sph.com.sg Do note: This podcast is meant to provide general information only. SPH Media accepts no liability for loss arising from any reliance on the podcast or use of third party’s products and services. Please consult professional advisors for independent advice. Discover more BT podcast series: BT Money Hacks at: bt.sg/btmoneyhacks BT Correspondents at: bt.sg/btcobt BT Podcasts at: bt.sg/podcasts BT Branded Podcasts at: bt.sg/brpod BT Lens On: bt.sg/btlensonSee omnystudio.com/listener for privacy information.

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.

Singapore shares jumped today on the back of cooling trade tensions between the US and China. The Straits Times Index was up 0.74% at 3,904.86 points at 10.30am Singapore time with a value turnover of S$883.77M in the broader market. In terms of companies to watch, we have Thai Beverage after the beverage maker announced on Friday that its profit for the second quarter ended Mar 31, 2025, decreased 3.2 per cent on the year to 6.7 billion baht (S$263.5 million), from a restated profit of seven billion baht. Meanwhile, global market movements remain in focus as investors welcomed the announcement that the US and China would temporarily lower tariffs on each other’s products in a 90-day cool-off period. On Market View, Money Matters’ finance presenter Chua Tian Tian unpacked the developments with Willie Keng, Founder, Dividend Titan.com.See omnystudio.com/listener for privacy information.

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.

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

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

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

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.

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

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

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

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

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

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

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