Podcasts about scale ai

En la edición de hoy del Radar Empresarial analizamos el fuerte retroceso que ha sufrido Meta en las operaciones fuera de horario. La empresa dirigida por Mark Zuckerberg registró una caída cercana al 7% en el mercado after hours, tras comunicar en su llamada con analistas que su saldo de caja se redujo un 43% desde finales del año pasado. Este descenso se atribuye principalmente a las enormes inversiones que la tecnológica está realizando en el desarrollo de inteligencia artificial. Zuckerberg explicó que tanto la contratación de expertos de primer nivel como la construcción de costosos centros de datos han presionado los márgenes operativos y reducido en un tercio el flujo de caja libre durante el tercer trimestre del año. A pesar de la reacción negativa del mercado, el CEO de Meta se mostró firme en su postura. Destacó que su estrategia pasa por consolidar a la compañía como una de las líderes mundiales en la carrera por la inteligencia artificial. Según aseguró, la empresa no tiene intención de frenar su ambicioso plan de expansión y planea aumentar su infraestructura tecnológica en 2026, con el objetivo de incrementar de manera significativa su capacidad de procesamiento y desarrollo. Entre las inversiones más destacadas se encuentra la construcción de un nuevo centro de datos en El Paso, con un desembolso de 1.500 millones de dólares, además de un acuerdo de financiación de 27.000 millones con Blue Owl Capital para el complejo que se levantará en Louisiana. A ello se suma la inyección de más de 14.000 millones en Scale AI, lo que refleja el compromiso de Meta con este sector. Sin embargo, estas cifras han generado preocupación entre los inversores, que han respondido con ventas tras conocerse los resultados. Y es que los datos financieros del tercer trimestre no fueron alentadores. Meta reportó un beneficio por acción apenas superior a un dólar, lejos de los casi siete esperados por el mercado. El beneficio neto acumulado entre enero y septiembre alcanzó los 37.690 millones, un 9% menos que en 2024. No obstante, la facturación total ascendió a más de 140.000 millones, lo que representa un incremento del 21%. La empresa también anunció una provisión fiscal cercana a los 16.000 millones debido a la aplicación de la Ley One Big Beautiful Bill, impulsada durante la administración de Donald Trump.

Chip Huyen is a core developer on Nvidia's Nemo platform, a former AI researcher at Netflix, and taught machine learning at Stanford. She's a two-time founder and the author of two widely read books on AI, including AI Engineering, which has been the most-read book on the O'Reilly platform since its launch. Unlike many AI commentators, Chip has built multiple successful AI products and platforms and works directly with enterprises on their AI strategies, giving her unique visibility into what's actually happening inside companies building AI products.We discuss:1. What people think makes AI apps better vs. what actually makes AI apps better2. What pre-training vs. post-training is, and why fine-tuning should be your last resort3. How RLHF (reinforcement learning from human feedback) actually works4. Why data quality matters more than which vector database you choose5. Why high performers are seeing the most gains from AI coding tools6. Why most AI problems are actually UX issues—Brought to you by:Dscout—The UX platform to capture insights at every stage: from ideation to production: https://www.dscout.com/Justworks—The all-in-one HR solution for managing your small business with confidence: https://ad.doubleclick.net/ddm/trackclk/N9515.5688857LENNYSPODCAST/B33689522.423713855;dc_trk_aid=616485030;dc_trk_cid=237010502;dc_lat=;dc_rdid=;tag_for_child_directed_treatment=;tfua=;gdpr=$Persona—A global leader in digital identity verification: https://withpersona.com/lenny—Where to find Chip Huyen:• X: https://x.com/chipro• LinkedIn: https://www.linkedin.com/in/chiphuyen/• Website: https://huyenchip.com/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Chip Huyen(04:28) Chip's viral LinkedIn post(07:05) Understanding AI training: pre-training vs. post-training(08:50) Language modeling explained(13:55) The importance of post-training(15:20) Reinforcement learning and human feedback(22:23) The importance of evals in AI development(31:55) Retrieval augmented generation (RAG) explained(38:50) Challenges in AI tool adoption(43:19) Challenges in measuring productivity(45:20) The three-bucket test(49:10) The future of engineering roles(55:31) ML Engineers vs. AI engineers(57:12) Looking forward: the impact of AI(01:05:48) Model capabilities vs. perceived performance(01:08:23) Lightning round and final thoughts—Referenced:• Chip's LinkedIn post on what actually improves AI apps: https://www.linkedin.com/posts/chiphuyen_aiapplications-aiengineering-activity-7358971409227792384-y0mf/• Prediction and Entropy of Printed English: https://www.princeton.edu/~wbialek/rome/refs/shannon_51.pdf• Why experts writing AI evals is creating the fastest-growing companies in history | Brendan Foody (CEO of Mercor): https://www.lennysnewsletter.com/p/experts-writing-ai-evals-brendan-foody•Inside the expert network training every frontier AI model | Garrett Lord (Handshake CEO): https://www.lennysnewsletter.com/p/inside-handshake-garrett-lord• First interview with Scale AI's CEO: $14B Meta deal, what's working in enterprise AI, and what frontier labs are building next | Jason Droege: https://www.lennysnewsletter.com/p/first-interview-with-scale-ais-ceo-jason-droege• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• Why AI evals are the hottest new skill for product builders | Hamel Husain & Shreya Shankar (creators of the #1 eval course): https://www.lennysnewsletter.com/p/why-ai-evals-are-the-hottest-new-skill• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Stanford webinar—How AI Is Changing Coding and Education, Andrew Ng & Mehran Sahami: https://www.youtube.com/watch?v=J91_npj0Nfw• He saved OpenAI, invented the “Like” button, and built Google Maps: Bret Taylor on the future of careers, coding, agents, and more: https://www.lennysnewsletter.com/p/he-saved-openai-bret-taylor• Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann: https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann• Lenny's vibe-coded app made on Lovable: https://gdoc-images-grab.lovable.app/• Story of Yanxi Palace: https://www.imdb.com/title/tt8865016/• Steve Jobs's quote: https://www.goodreads.com/quotes/427317-remembering-that-i-ll-be-dead-soon-is-the-most-important—Recommended books:• The Complete Sherlock Holmes: https://www.amazon.com/Complete-Sherlock-Holmes-Volumes/dp/0553328255• AI Engineering: Building Applications with Foundation Models: https://www.amazon.com/AI-Engineering-Building-Applications-Foundation/dp/1098166302• The Selfish Gene: https://www.amazon.com/Selfish-Gene-Anniversary-Introduction/dp/0199291152• From Third World to First: The Singapore Story: 1965-2000: https://www.amazon.com/Third-World-First-Singapore-1965-2000/dp/0060197765—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Abu-Ghazaleh said his two-month-old company promises to cut inefficiencies in high-stakes sectors like aviation, logistics, and oil and gas through an AI-native operating system for decision-making. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Industry leaders from Coder, Scale AI, and Suger reveal why 95% of AI pilots fail—and share the frameworks that actually work to get agents into production.Topics Include:Panel features leaders from Coder, Scale AI, and Suger discussing agentic AI.MIT report reveals 95% of AI pilots fail to reach production.Challenges are rarely technical—they're organizational, mindset, and people-driven instead.Companies lack documented tribal knowledge needed to train agents effectively.Many organizations attempt AI where deterministic, rules-based automation would work better."Freestyle agents" concept: Some problems shouldn't be solved by agents at all.Regulated industries struggle when asking agents to handle highly differentiated, complex tasks.Common mistakes: building one universal agent or separate agents for every use case.Post-billing workflows and business-critical operations aren't ready for AI's black box.VCs pressure companies to define "AI-native"—but nobody has clear answers yet.Scale AI uses five maturity levels; Coder uses three tiers for adoption.Success metrics span operational readiness, business impact, and technology performance indicators.Production requires data governance, context, A/B testing, and robust fallback mechanisms.Even Anthropic uses agents conservatively: research tasks and log triage, no write-access.Path to 50% success requires agile frameworks, people change, and proper AI talent.Participants:Ben Potter - VP of Product, CoderRaviteja Yelamanchili - Head of Solutions Engineering, Scale AIJon Yoo - CEO, SugerAdam Ross - US, Partner Sales Sr. Leader, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

F5 Networks, which provides cybersecurity defenses to most of the Fortune 500, said the DOJ allowed it to delay notifying the public on national security grounds. Semiconductor firm Arm is partnering with Meta to enhance the social media company's AI systems amid an unprecedented infrastructure buildout. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Plus - OpenAI has five years to turn $13 billion into $1 trillion; Facebook brings back job listings in the US Learn more about your ad choices. Visit podcastchoices.com/adchoices

Artificial intelligence is transforming every sector of the global economy, from healthcare and manufacturing to financial services and telecommunications. We have passed the initial hype stage — AI exists in many organizations as an established business competency and is now being deployed in detail to solve specific business problems.So what current issues should companies be focusing on? What challenges are organizations facing as AI moves past the innovation phase of the technology life cycle and into mainstream adoption?In this Keynote, Professor Dirk Swart of Cornell Engineering is joined by Luke Corbin and Jonathan Huer from AT&T Business to explore these developments. They examine how emerging AI solutions are being deployed across industries and what lessons can be learned from AT&T's experience as an early adopter of AI technologies.This discussion covers practical aspects, such as building AI capabilities, managing data governance, scaling solutions enterprise-wide, and developing AI-ready talent and culture. You'll gain insight into how AT&T's current AI initiatives compare with industry standards and consider common challenges faced during implementation as well as future possibilities in AI-driven business transformation.Professor Swart's Technical Product Management Certificate - https://ecornell.cornell.edu/certificates/technology/technical-product-management/AI for Digital Transformation Certificate - https://ecornell.cornell.edu/certificates/technology/ai-for-digital-transformation/Generative AI for Productivity Certificate - https://ecornell.cornell.edu/certificates/technology/generative-ai-for-productivity/ Follow eCornell on Facebook, Instagram, LinkedIn, TikTok, and X.

Jason Droege is the CEO of Scale AI, a company that provides foundational training data to every major AI lab. He previously co-founded Scour with Travis Kalanick and built Uber Eats from idea to $20 billion in revenue. In this conversation, Jason shares lessons from getting sued for $250 billion, discovering restaurant economics by weighing sandwich ingredients, and over 25 years of launching transformative technology businesses.What you'll learn:What actually happened with Meta's $14 billion investment in Scale AIWhy AI models still need human experts to improve, and how that relationship is evolvingHow AI models learn from experts building websites and debugging codeThe business lessons from building Uber Eats from zero to $20 billionWhy most enterprise data is useless for AI models todayWhy urgent daily problems beat super-valuable occasional problems when building productsHow to think independently when building new products and businesses—Brought to you by:Merge—The fastest way to ship 220+ integrations: http://merge.dev/lennyFigma Make—A prompt-to-code tool for making ideas real: https://www.figma.com/lenny/Mercury—The art of simplified finances: https://mercury.com/—Transcript: https://www.lennysnewsletter.com/p/first-interview-with-scale-ais-ceo-jason-droege—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/174979621/my-biggest-takeaways-from-this-conversation—Where to find Jason Droege:• X: https://x.com/jdroege• LinkedIn: https://www.linkedin.com/in/jasondroege/—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Jason Droege(06:01) Jason's early career and lessons learned(10:27) The current state of Scale AI(12:37) The shift to expert data labeling(17:02) Challenges and strategies in finding experts(18:48) Reinforcement learning and AI environments(28:18) The future of AI and human involvement(31:21) The role of evals(35:25) What AI models will look like in the next few years(41:43) Building Uber Eats and understanding customer needs(48:19) The importance of independent thinking(50:45) Setting high standards for new businesses(53:03) Exploring and selecting business ideas(57:07) The McDonald's story(01:00:13) The role of gross margins in business feasibility(01:04:49) Why Jason says, “Not losing is a precursor to winning”(01:09:12) Hiring and building teams(01:12:11) AI corner(01:14:47) Lightning round and final thoughts—Referenced:• Travis Kalanick on X: https://x.com/travisk• Scour: https://en.wikipedia.org/wiki/Scour_Inc.• Scale: https://scale.com/• Alexandr Wang on X: https://x.com/alexandr_wang• Why experts writing AI evals is creating the fastest-growing companies in history | Brendan Foody (CEO of Mercor): https://www.lennysnewsletter.com/p/experts-writing-ai-evals-brendan-foody• Brendan Foody's post on X about knowledge work changing: https://x.com/BrendanFoody/status/1970163503702188048• MIT Finds 95% of GenAI Pilots Fail Because Companies Avoid Friction: https://www.forbes.com/sites/jasonsnyder/2025/08/26/mit-finds-95-of-genai-pilots-fail-because-companies-avoid-friction/• Uber Eats: https://www.ubereats.com/• Stephen Chau on X: https://x.com/thestephenchau• a16z Podcast: https://a16z.com/podcasts/a16z-podcast/• F1: The Movie: https://www.imdb.com/title/tt16311594/• V03: https://v03ai.com/• Careers at Scale: https://scale.com/careers—Recommended books:• The Selfish Gene: https://www.amazon.com/Selfish-Gene-Anniversary-Introduction/dp/0199291152• The Road Less Traveled: A New Psychology of Love, Traditional Values, and Spiritual Growth: https://www.amazon.com/Road-Less-Traveled-Timeless-Traditional/dp/0743243153/• Good to Great: Why Some Companies Make the Leap . . . And Others Don't: https://www.amazon.com/Good-Great-Some-Companies-Others/dp/0066620996• Thinking, Fast and Slow: https://www.amazon.com/Thinking-Fast-Slow-Daniel-Kahneman/dp/0374533555/—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Too many companies see AI only as a cost-cutting shortcut, rolling out rushed AI deployments that frustrate customers. But the real opportunity lies in everyday AI: using it to handle what humans don't do well, so people can focus on what they do best—building authentic customer relationships. This week on The Modern Customer Podcast, Henrik Werdelin, founder of BARK, Prehype, Audos, and co-author of Me, My Customer, and AI, shares how everyday AI can transform CX. Highlights from the podcast: ➡️ AI Beyond Efficiency — Instead of just automating tasks, AI expands human capability and frees teams to focus on authentic customer connections. ➡️ Listening at Scale — AI makes it possible to instantly analyze thousands of customer comments, delivering insights that go far deeper than NPS scores. ➡️ Strengthening Relationship Capital — With AI, brands can build customer loyalty through three layers: depth (feeling seen), density (community), and durability (long-term trust). ➡️ Empowering Everyday Entrepreneurs — AI lowers barriers to entry, enabling more people to create businesses that solve real customer problems and build lasting relationships.

Datumo is carving out its identity as a challenger brand to Scale AI. Its strategy focuses on efficiency, transparency, and accessibility. Whether it succeeds could redefine how the world trains AI systems.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

Datumo's bold challenge to Scale AI raises critical questions about the future of data labeling and AI support systems. If successful, it could decentralize power in the AI market. The move is drawing global attention from investors and technologists.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle

AI Daily Rundown: September 24, 2025: Your daily briefing on the real world business impact of AIListen at https://podcasts.apple.com/us/podcast/ai-tech-daily-news-rundown-microsoft-is-building-an/id1684415169?i=1000728287736

Meta präsentiert neue AR-Brillen mit Display, während die Live-Demo spektakulär scheitert. Nvidia investiert 5 Milliarden Dollar in Intel und weitere 2 Milliarden in britische Startups. Google integriert Gemini direkt in Chrome und verhandelt mit Reddit über dynamischere Datendeals. Jimmy Kimmel verliert seinen Late-Night-Job durch politischen Druck. TikTok-Deal zwischen Larry Ellison und Andreessen Horowitz rückt näher. XAI verliert weitere Führungskräfte. DeepSeek schreibt schlechteren Code für China-kritische Gruppen. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über:   (00:00:00) Intro  (00:05:00) Meta AR-Brillen (00:12:10) Nvidia investiert in Intel (00:18:50) Google Gemini in Chrome (00:21:30) Reddit verhandelt mit Google (00:23:55) Jimmy Kimmel (00:41:45) TikTok-Deal Update (00:45:00) XAI-Führungskrise (00:49:35) Scale AI, Anthropic, DeepSeek  Shownotes Mark Zuckerberg verspricht neue Smart Glasses für 'Superintelligenz' – ft.com Nvidia investiert $5 Mrd. in Konkurrent Intel – ft.com Nvidia investiert £2 Milliarden in britische KI-Startups – bloomberg.com Google integriert Gemini in Chrome: KI-Browser werden Mainstream – wired.com Reddit plant nächsten KI-Inhaltspakt mit Google, OpenAI – bloomberg.com TikTok, Jimmy Kimmel: Trumps mediale Gleichschaltungsstrategie – spiegel.de Trump "faktisch falsch" in Verleumdungsklage, sagt NYT-Redakteur – axios.com TikToks neue Investoren in den USA unklar – theinformation.com Konflikte zwischen xAI-Führungskräften und Elon Musks Beratern vor Abgang – wsj.com Scale AI schließt Abkommen mit Pentagon ab – axios.com AI-Firma DeepSeek schreibt unsicheren Code für von China benachteiligte Gruppen – washingtonpost.com FBI bereitet neuen Krieg gegen Trans-Personen vor – kenklippenstein.com AI-Chip-Startup Groq erhält $750 Millionen bei $6,9 Milliarden Bewertung – bloomberg.com Anthropic verärgert das Weiße Haus mit Nutzungsbeschränkungen – semafor.com Gemini AI löst Programmierproblem, das 139 menschliche Teams beim ICPC-Weltfinale überforderte – arstechnica.com

(0:00) Intro(1:30) About the podcast sponsor: The American College of Governance Counsel(2:16) Start of interview. *Reference to E181 (July 2025) for Steven's personal/professional background.(3:14) IPOs and Market Trends. Including Klarna and Gemini.(5:29) The Stay Private vs. Go Public Dilemma. Valuations and market health (examples of Airbnb and Figma)(12:00) The Oracle post-earnings 36% price increase. *Reference to article by Tom Chavez: In Defense of Bubbles.(14:14) AI, Data Centers, and Market Dynamics(15:15) OpenAI's Future and Governance(20:12) Power Dynamics in Big Tech companies (Mag 7).(22:35) Tesla and Elon Musk Compensation Structure (Mega Grants)(24:53) Boardroom Accountability in Big Tech(28:31) Scale AI and L&A (Licensing & Acquihiring) as the new M&A(34:34) AI startup governance (e.g. SSI and Thinking Machine Labs)(36:41) The Role of Directors in Governance. "Theater in the boardroom?"(39:08) Startup Fraud (Elizabeth Holmes, SBF, etc) and the Startup Litigation Digest(40:05) Legal Accountability and Ethics (46:39) The Future of AI and Market Valuations in the "Agentic Economy"(51:43) The Importance of Board LeadershipSteven Wolfe Pereira founded Alpha to solve a critical problem: most boards are governing AI transformation without the frameworks, intelligence, or peer networks they need to make sound fiduciary decisions.  You can follow Evan on social media at:X: @evanepsteinLinkedIn: https://www.linkedin.com/in/epsteinevan/ Substack: https://evanepstein.substack.com/__To support this podcast you can join as a subscriber of the Boardroom Governance Newsletter at https://evanepstein.substack.com/__Music/Soundtrack (found via Free Music Archive): Seeing The Future by Dexter Britain is licensed under a Attribution-Noncommercial-Share Alike 3.0 United States License

Jason sits down with Wilson Sonsini partner Chris Paniewski for a special Startup Legal Basics on one of the thorniest questions in tech right now: how copyright law applies to AI training data.Chris has worked on some of the biggest AI deals ever — including Scale AI's $14B+ partnership with Meta and OpenAI's $6.5B acquisition of Jony Ive's design studio — and brings practical, on-the-ground insights from advising leading AI companies.In this episode, Jason and Chris cover:Why AI copyright law is unsettled and will take years to shake outThe difference between training data and output in legal termsHow “fair use” really works (and why it's a defense, not a permission slip)The risks of scraping vs. licensing, and why open source ≠ free useHow investors are diligencing AI startups around training dataWhy startups must think differently once they're funded vs. hacking in a dorm roomWhether you're building an AI product, investing in one, or just trying to understand where the law is headed, this conversation breaks down the real legal risks every founder should know.Timestamps:(0:00) Jason introduces the Startup Legal Basics series & Chris Paniewski(1:25) Why AI copyright law is unsettled(3:40) Training data: scraping vs. licensing(6:05) Open web ≠ open license; pitfalls around terms of service(8:15) Investor diligence & risks around training data(11:00) Open source & Creative Commons: common founder mistakes(13:25) “Fair use” explained: the four-part test(15:45) Why most disputes never make it to case lawCheck Out Wilson Sonsini: https://www.wsgr.comCheck out all of the Startup Basics episodes here: https://thisweekinstartups.com/basicsFollow Chris:LinkedIn: https://www.linkedin.com/in/christopher-paniewski-09331a59/Follow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.com

welcome to wall-e's tech briefing for thursday, september 4th! dive into today's top tech stories: mistral ai's massive valuation: french startup nearing a $14 billion valuation, driven by its open-source language models and ai chatbot, le chat. apple's ai enhancement: potential collaboration with google's gemini ai model to upgrade siri, enhancing features like ai-powered web search by 2026. scale ai lawsuit: the company sues a former employee and competitor mercor, alleging theft of confidential customer strategy documents. spacex launch expansion: approval for environmental review increases falcon 9 launch capacity from florida to 120 annually. orchard robotics funding: raises $22 million to revolutionize agriculture with ai-driven tech for optimized crop management. stay tuned for tomorrow's tech updates!

Amid lawsuits alleging child safety concerns, online gaming service Roblox announced on Wednesday that it's expanding its age-estimation technology to all users and partnering with the International Age Rating Coalition (IARC) to provide age and content ratings for the games and apps on its platform. The company said that by year's end, the age-estimation system will be rolled out to all Roblox users who access the company's communication tools, like voice and text-based chat. This involves scanning users' selfies and analyzing facial features to estimate age. Also, Scale AI, which helps tech companies prepare data to train their AI models, filed a lawsuit against one of its former sales employees and its rival Mercor on Wednesday. The suit claims the employee, who was hired by Mercor, “stole more than 100 confidential documents concerning Scale's customer strategies and other proprietary information,” according to a copy seen by TechCrunch. Learn more about your ad choices. Visit podcastchoices.com/adchoices

De laatste paar maanden van het jaar lijken een heftige rit te worden. De risico's stapelen zich op: de Europese economie verzwakt, het oneindige AI-optimisme kalft af, de onafhankelijkheid van de Amerikaanse centrale bank ligt onder vuur, en er is nog altijd onzekerheid rond importheffingen vanuit de VS. Daartegenover wijst de Wall Street Journal op de enorm opgelopen waarderingen van de S&P 500 bedrijven. Die zijn zelfs duurder dan voor het barsten van de Dotcom-bubbel. Stevenen we op een nieuwe crisis af? Wat is de grootste bedreiging? En hoe zorg je dat je daar levend doorheen komt? Dat zoeken we deze aflevering voor je uit. Dan hebben we het ook over het crisismanagement bij Meta. Mark Zuckerberg had een paar maanden geleden nog een gat in z'n hand. Hij gaf miljarden uit om overal het allerbeste AI-talent vandaan te plukken. Maar dat hobbyproject lijkt uit te lopen op een miljardenflop. Die knappe koppen komen namelijk nu al tot de conclusie dat de beste optie misschien is om hun AI in te kopen bij de concurrent. Overigens hoor je ook over het bewijs dat de AI van Meta nog niet op het gewenste niveau is. Hun chatbots blijken namelijk nogal wel eens de regels te overtreden, en bekendheden na te doen die daar geen toestemming voor hebben gegeven. En daar blijft het niet bij... Verder gaat het nog over de schrik in het Witte Huis. Het federale hof van beroep heeft besloten dat Trump zijn importheffingen nooit zo had mogen doorvoeren. En er komen weer nieuwe exportrestricties voorbij. Op chipmachines. Gelukkig niet die van ASML of ASMI, maar van Amerikaanse bedrijven. Die mogen niet meer naar de fabrieken van Samsung en SK Hynix in China.See omnystudio.com/listener for privacy information.

Taco Bell's chief digital officer says the company is having an “active conversation” about when to use and not use AI. The company has apparently rolled out voice AI-powered ordering at more than 500 drive-throughs. Also, it's only been since June that Meta invested $14.3 billion in the data-labeling vendor Scale AI, bringing on CEO Alexandr Wang and several of the startup's top executives to run Meta Superintelligence Labs. But the relationship between the two companies is already showing signs of fraying. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Meta laatste miljardeninvestering in de ontwikkeling van AI lijkt bepaald geen vruchten af te werpen, op basis van berichten dan diverse Amerikaanse media. In deze Tech Update vertelt Joe van Burik erover. De integratie met Scale AI, waarvan Meta voor ruim 14 miljard 49 procent van de aandelen kocht, lijkt voor veel frictie te zorgen. Ook zijn sommige van de AI-ontwikkelaars die de afgelopen tijd zijn aangetrokken (naar verluidt voor bonussen tot wel 100 miljoen of zelfs 300 miljoen dollar) na enkele maanden alweer weggegaan. Verder in deze Tech Update: ChatGPT is te manipuleren door trucjes te gebruiken uit het boek 'Influence: The Psychology of Persuasion' van professor Robert Cialdini De Democratische gouverneur van Californië, Gavin Newson, ontvangt miljoenen steun van Netflix-oprichter Gavin Newsom in zijn strijd tegen de Republikeinen See omnystudio.com/listener for privacy information.

What you'll discover… How to build trust with customers before you've even built a product Lessons on raising $150M and convincing top-tier VCs like Sequoia and General Catalyst The emotional story that sparked Cobot's mission inside a hospital hallway Why humanoid robots might not be the future and what should replace them Why swappable batteries, high-mounted sensors, and swerve drives make all the difference The founder's journey: anxiety, ambition, and the power of embracing the Odyssey Where to find it… (02:35) Why Brad left a high-flying career to start something from scratch (06:10) Timing the AI and robotics wave (08:45) From Scale AI to Cobot: building the product he truly believed in (11:45) Identifying Real-world problems to be solved by your new start-up (19:45) Why top investors believed in him before a prototype even existed (27:00) Selling the vision before building the robot (32:45) MVP success, user feedback, and building trust with early adopters (40:00) What “everyday work” means for Brad and how Cobot improves lives (44:00) The next 10 years of robotics and physical AI (52:00) Brad's proudest moment and how it ties back to a promise to his father More about the episode Before founding Cobot, Brad Porter held senior roles at Amazon, Scale AI, and even helped pioneer voice applications at Tellme and Netscape. But it was a walk with his father through the halls of Mayo Clinic that planted the seed for something radically new. In this heartfelt and insightful episode, Brad shares how a personal loss became a professional mission to build collaborative robots that enhance human work instead of replacing it. With over $150M raised in just three years and clients like the Mayo Clinic, Maersk, and the US Department of Defense, Brad has done what few in hard tech manage to do: build, fund, and deploy a real solution in record time. You'll hear how digital twin technology and fast iteration allowed Cobot to deliver results before having a fully built prototype, and why design decisions like swappable batteries and swerve drives matter more than buzzwords. If you're a founder, investor, or just fascinated by where robotics is headed, this episode delivers hard-won insights and inspiration in equal measure. Connect with us: Peng-Sang Cau LinkedIn Website Brad Porter LinkedIn

Welcome to another episode of the Beacon Way Podcast! In this episode, host Adrienne Wilkerson dives deep into how Artificial Intelligence (AI) can revolutionize personalized marketing, making it accessible for small and medium-sized businesses. Learn about AI-driven strategies like predictive analytics, dynamic content creation, and advanced customer segmentation. Adrienne also discusses the importance of ethical AI use, data minimalization, and emerging trends. Whether you're new to AI or looking to enhance your current marketing efforts, this episode offers invaluable insights to help your business thrive in today's data-driven marketplace.

Hosted by David Cowen | Presented by Steno Live at ILTACON 2025, Rachel Shield Williams, Director of Client Intelligence at Sidley Austin, breaks down how the smartest legal teams are using AI, not just to save time, but to build stronger relationships, drive smarter decisions, and unlock entirely new ways of working. From ChatGPT to lakehouses, Rachel shares how the future of legal operations is being shaped by clean data, clear governance, and creative thinking. This episode is packed with real use cases, sharp insights, and powerful takeaways for anyone working at the intersection of law, data, and strategy. Key Topics Covered: What “client intelligence” really means and why it's a growth engine Why governance is the backbone of safe, scalable GenAI The difference between data warehouses, lakes, and lakehouses (finally explained) How cross-functional teams are reshaping client relationships Rachel's ChatGPT workflows - summarizing, strategizing, even grocery shopping AI as a leadership tool: how to support your team and stay ahead Inclusion, accessibility, and the future of data-driven collaboration This Episode is presented by Steno: Smarter transcripts. Faster delivery. Built for modern legal teams.

In a move reminiscent of Facebook's early days, TikTok is launching a new feature that allows college students to find and connect with others on their campus. The feature, called Campus Verification, lets users add their college campus to their TikTok profile and browse a list of students at their school. Also, On Friday, The Information reported that Meta was preparing to tear down its existing AI org and reorganize it into four new groups. Four days later, the change was made official with an internal memo, as reported by Bloomberg and The New York Times. The changes were announced by Scale AI founder Alexandr Wang, who joined Meta as chief AI officer in June. And, a lawsuit alleges that Google collected data from children watching YouTube videos; while this kind of data collection has become common, it remains illegal to collect data from children under the age of 13, per the longstanding COPPA legislation. Though Google will settle the case, the company denies these allegations. It's possible that up to 45 million people in the U.S. could be eligible to receive small payments from this class action, which encompasses anyone in the U.S. who watched YouTube while under the age of 13 between July 1, 2013 and April 1, 2020. Learn more about your ad choices. Visit podcastchoices.com/adchoices

What fuels the world's most powerful AI models isn't just data, it's how that data is labeled and given context. In this week's episode, we take listeners inside the often-overlooked world of data labeling, from Meta's $14B investment in Scale AI to the billion-dollar rise of Surge AI, and connect the dots to aquaculture. You'll learn why context-rich data—not just perfect data, is the real driver of better models, and how farms can apply these lessons to turn messy records into predictive intelligence. For more aquaculture insights head to our Fish n' Bits blog.

In this episode, Jaeden discusses the startup Datumo, which has recently raised $15.5 million to compete with Scale AI in the data labeling market. He explores the company's unique approach to data labeling, its growth trajectory, and the competitive landscape shaped by major players like Scale AI and Meta. The conversation also highlights Datumo's funding journey and future expansion plans, particularly in the U.S. and Japan.Try AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustle/aboutYouTube Video: https://youtu.be/UG7wUgPwbCwChapters00:00 Introduction to Datumo and Market Context03:08 Datumo's Unique Approach to Data Labeling05:48 Industry Dynamics and Competition with Scale AI08:33 Funding Journey and Future Prospects

Alexandra McGauley is a visionary leader and one of the youngest female L8 executives in Amazon's history, achieving the rank at just 27. As an Auburn University Supply Chain Management graduate, she spent eight years at Amazon leading thousands of employees across operations, learning, finance, safety, HR, IT, loss prevention, maintenance, and engineering. In 2020, she built Amazon's pandemic training support team from the ground up, supporting the onboarding of over 150,000 essential workers. Prior to leaving Amazon, she directly led a total org size of about 100+ salaried leaders, 2800 hourly employees, and a network initiative to improve on-time customer deliveries by ~40% YoY across 33 sites.After Amazon, she led at startup unicorn, Scale AI where she designed and scaled a data labeling workforce that generated millions in ARR in less than 4 months. Alexandra then took a leap to confront systemic gaps in dataset diversity and quality by founding Erud AI. Erud AI is fully bootstrapped and profitable in under a year of operations. Erud AI is startup based in Austin, Texas, and specializes in niche fields, expert fields, and multimodal data creation for AI applications. As a business process outsourcing partner, Erud AI handles the heavy operational lift of sourcing, employing, and training AI data teams. Clients appreciate Erud AI's focus on customer service and quality. Separately, Alexandra takes on a limited number of clients as a Fractional COO to boost organization efficiency, productivity, and profitability.Alexandra is passionate about fostering diverse talent and embedding ethical frameworks into AI development across industries and applications. Listeners will value her expertise in scaling high-performing teams, operational excellence, grit and tenacity, and responsible AI data practices. Key Moments [06:06] Ethical Data Sourcing Mission [09:35] Leaving Amazon to Build My Vision [10:54] Managing Payroll for Contractors [15:31] Value of Business Cards Find Alexandra Onlinehttps://erud.ai/newsletterhttps://linkedin.com/in/amcgauleyhttps://alexandramcgauley.com If you're enjoying Entrepreneur's Enigma, please give me a review on the podcast directory of your choice. The show is on all of them and these reviews really help others find the show. iTunes: https://gmwd.us/itunes Podchaser: https://gmwd.us/podchaser TrueFans: https://gmwd.us/truefans Also, if you're getting value from the show and want to buy me a coffee, go to the show notes to get the link to get me a coffee to keep me awake, while I work on bringing you more great episodes to your ears. →  https://gmwd.us/buy-me-a-coffee or support me on TrueFans.fm → https://gmwd.us/truefans. Follow Seth Online: Seth | Digital Marketer (@s3th.me) Seth Goldstein | LinkedIn: LinkedIn.com/in/sethmgoldstein Seth On Mastodon: https://indieweb.social/@phillycodehound Seth's Marketing Junto Newsletter: https://MarketingJunto.com Leave The Show A Voicemail: https://voiceline.app/ee Learn more about your ad choices. Visit megaphone.fm/adchoices

Enterprise AI leaders from C3 AI, Resolve AI, and Scale AI reveal how Fortune 100 companies are successfully scaling agentic AI from pilots to production and share secrets for successful AI transformation.Topics Include:Panel introduces three AI leaders from Resolve AI, C3 AI, and Scale AIResolve AI builds autonomous site reliability engineers for production incident responseC3 AI provides full-stack platform for developing enterprise agentic AI workflowsScale AI helps Fortune 100 companies adopt agents with private data integrationMoving from AI pilots to production requires custom solutions, not shrink-wrap softwareSuccess demands working directly with customers to understand their specific workflowsAll enterprise AI solutions need well-curated access to internal data and resourcesSoftware engineering has permanently shifted to agentic coding with no going backAI agents rapidly improving in reasoning, tool use, and contextual understandingIndustry moving from simple co-pilots to agents solving complex multi-step problemsSpiros coins new concept: evolving from "systems of record" to "systems of knowledge"Democratized development platforms let enterprises declare their own agent workflowsSemantic business layers enable agents to understand domain-specific enterprise operationsTrust and observability remain major barriers to enterprise agent adoptionOversight layers essential for agents making longer-horizon autonomous business decisionsPerformance tracking and calibration systems needed like MLOps for reasoning chainsCEO-level top-down support required for successful AI transformation initiativesTraditional per-seat SaaS pricing models completely broken for agentic AI solutionsIndustry shifting toward outcome-based and work-completion pricing models insteadReal examples shared: agent collaboration in production engineering and sales automationParticipants:Nikhil Krishnan – SVP & Chief Technology Officer, Data Science, C3 AISpiros Xanthos – Founder and CEO, Resolve AIVijay Karunamurthy – Head of Engineering, Product and Design / Field Chief Technology Officer, Scale AIAndy Perkins – GM, US ISV Sales – Data, Analytics, GenAI, Amazon Web ServicesFurther Links:C3 – Website – AWS MarketplaceResolve AI – Website – AWS MarketplaceScale AI – Website – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

L'agence Cossette développe en interne une IA sur mesure, financée par Scale AI, pour exploiter son patrimoine de données accumulé depuis des décennies ( études de cas, stratégies, créations ) et en tirer un avantage concurrentiel. L'outil se distingue des solutions génériques comme Gemini en puisant exclusivement dans les archives internes de l'agence, aujourd'hui dispersées et non structurées. Il sert d'« archiviste intelligent » pour faciliter la recherche, l'analyse et l'enrichissement des projets, tout en alimentant la réflexion stratégique et la créativité. Cossette vise d'abord un usage interne, mais envisage de proposer la solution à des clients confrontés aux mêmes enjeux d'accès et de valorisation de leur savoir institutionnel. Entrevue avec Louis Duchesne, Président, Canada chez Cossette.

This week on Networth and Chill, Vivian sits down with Lucy Guo, the serial entrepreneur and co-founder of Scale AI, to explore the financial blueprint behind building multiple unicorn companies before age 30. From dropping out of Carnegie Mellon to co-founding Scale AI—now valued at over $13 billion—Lucy's story reveals the strategic decisions and calculated risks that transformed her from a college dropout into one of tech's most influential young billionaires. Vivian explores Lucy's investment philosophy, her strategies for identifying market opportunities in emerging tech sectors, and how she's diversified her wealth beyond Scale AI through ventures like Passes, her social platform for creators.Whether you're interested in AI entrepreneurship, startup scaling strategies, or understanding how to leverage technical skills into generational wealth, this episode offers crucial insights on building in the rapidly evolving tech landscape. Check out Lucy on Instagram and learn more about Passes at https://www.passes.com/ Follow the podcast on Instagram and TikTok! Got a financial question you want answered in a future episode? Email us at podcast@yourrichbff.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

In the generative AI revolution, quality data is a valuable commodity. But not all data is created equally. Sarah Guo and Elad Gil sit down with SurgeAI founder and CEO Edwin Chen to discuss the meaning and importance of quality human data. Edwin talks about why he bootstrapped Surge instead of raising venture funds, the importance of scalable oversight in producing quality data, and the work Surge is doing to standardize human evals. Plus, we get Edwin's take on what Meta's investment into Scale AI means for Surge, as well as whether or not he thinks an underdog can catch up with OpenAI, Anthropic, and other dominant industry players. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @echen | @HelloSurgeAI Chapters: 00:00 – Edwin Chen Introduction 00:41 – Overview of SurgeAI 02:28 – Why SurgeAI Bootstrapped Instead of Raising Funds 07:59 – Explaining SurgeAI's Product 09:39 – Differentiating SurgeAI from Competitors  11:27 – Measuring the Quality of SurgeAI's Output 12:25 – Role of Scalable Oversight at SurgeAI 14:02 – Challenges of Building Rich RL Environments 16:39 – Predicting Future Needs for Training AI Models 17:29 – Role of Humans in Data Generation 21:27 – Importance of Human Evaluation for Quality Data 22:51 – SurgeAI's Work Toward Standardization of Human Evals 23:37 – What the Meta/ScaleAI Deal Means for SurgeAI 24:35 – Edwin's Underdog Pick to Catch Up to Big AI Companies 24:50 – The Future Frontier Model Landscape 26:25 – Future Directions for SurgeAI 29:29 – What Does High Quality Data Mean? 32:26 – Conclusion

ChatGPT Agents are here.U.S. President Trump has big plans for AI.And Google is slapping more AI on traditional search than a commercial pitchman slapping Flex Seal on a leaky boat.AI is changing how we all work. And there's way too much happening to keep track. So, that's why you should spend Mondays with us as we bring you the AI News that Matters.Try Gemini 2.5 Flash! Sign up at  AIStudio.google.com to get started. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Meta Considers Shift to Closed-Source AITrump Unveils National AI Policy Plan$2 Billion Seed Funding: Thinking Machines LabsGemini 2.5 Pro Launches in Google SearchGoogle AI Enables Automated Local Business CallsDeep Search Feature with Gemini 2.5 ProOpenAI ChatGPT Agents Power Multi-step AutomationChatGPT to Charge Commissions on E-commerceNew Student Study Tools: OpenAI, Google, AnthropicAnthropic Debuts Domain-Specific Financial AINvidia H20 AI Chip Exports to China ControversyTimestamps:00:00 Meta Considers Closing AI Models04:15 "Meta's AI Strategy and Open Source"08:15 Diverse Regulation Needs for AI Innovation09:42 AI Startup Surpasses $12B Valuation13:37 Google and OpenAI's AI Expansion18:41 AI Companies Target Student Demographic21:59 "Rise of Domain-Specific Models"23:47 2026 AI Model Revolution26:36 AI Export Controls and US-China Tech Race30:36 OpenAI Unveils ChatGPT Agent33:05 "Watch Mode for ChatGPT Pro"Keywords:Google AI, Gemini 2.5 Pro, Gemini AI mode, Deep search, AI-powered local calling, agentic AI capabilities, ChatGPT agents, ChatGPT agent, OpenAI, ChatGPT Pro, reasoning model, automated phone calls, local business AI calls, US AI policy, President Trump AI strategy, deregulation in AI, AI regulation, closed source AI model, Meta AI, open source vs closed source AI, superintelligence lab, Alexander Wang, Scale AI, Nvidia GPU drama, Nvidia H20 chips, AI chips export, US-China AI arms race, artificial general intelligence, AGI, ASI, Anthropic, Claude, domain specific models, financial analyst AI, financial data AI solutions, Monte Carlo simulation AI, risk modeling AI, Amazon Bedrock Agent, Microsoft Copilot Vision, multi-step task automation, virtual terminal AI, multimodal reasoning, e-commerce AI, ChatGPT shopping, AI optimization, AIO, affiliate revenue AI, education AI tools, AI study assistants, Study Together ChatGPT, Study Projects Claude, Guided Learning Gemini, enterprise AI soluSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Scott Wu is the co-founder and CEO of Cognition, the company behind Devin, the world's first AI software engineer. On Friday last week they pulled off the acquisition of the year, acquiring Windsurf, following their licensing agreement with Google. Previously a world-class competitive programmer, he was a gold medalist at the International Olympiad in Informatics and a member of the U.S. Math and Physics Olympiad teams. Before Cognition, he was a founding engineer at Scale AI, helping shape the early AI infrastructure stack. AGENDA: 00:00 – Why are founders walking away instead of going down with the ship? 01:05 – How did Cognition pull off the $220M Windsurf deal in just 72 hours? 04:45 – What really happened behind closed doors the weekend Windsurf was acquired? 07:15 – Did Google overlook a goldmine in the Windsurf team and IP? 09:00 – Who are the 100 people that secretly shape the future of AI? 12:30 – Can application startups ever gain leverage over foundation model giants like Anthropic? 14:15 – Is coding about to be replaced by simply describing what you want? 17:30 – 50% of new code is AI-written. Where does that go next? 20:45 – “We've gone from 0 to $80M ARR in 6 months. Quietly.” 25:00 – Are IDEs and agents just the training wheels for the real future of software engineering? 28:20 – If you could only back one—OpenAI or Anthropic—who's the better bet? 30:00 – Why has Cognition kept its insane growth a secret… until now?    

Wanna start a side hustle but need an idea? Check out our Side Hustle Ideas Database: https://clickhubspot.com/thds We're breaking down the wild contradictions in AI land, where companies are simultaneously laying off workers and throwing billions at acquisitions, plus Google's new feature that lets AI make your awkward phone calls to local businesses. Plus: South Korea is booming with startups and Pepsico beats Wall Street earnings expectations. Join our hosts Jon Weigell and Maria Gharib as they take you through our most interesting stories of the day. Follow us on social media: TikTok: https://www.tiktok.com/@thehustle.co Instagram: https://www.instagram.com/thehustledaily/ Thank You For Listening to The Hustle Daily Show. Don't forget to hit subscribe or follow us on your favorite podcast player, so you never miss an episode! If you want this news delivered to your inbox, join millions of others and sign up for The Hustle Daily newsletter, here: https://thehustle.co/email/  If you are a fan of the show be sure to leave us a 5-Star Review, and share your favorite episodes with your friends, clients, and colleagues.

Scale AI lays off 14% of its workforce, Jack Dorsey invests $10 million to fund experimental open-source projects, and Substack secures $100 million in funding at a $1.1 billion valuation. MP3 Please SUBSCRIBE HERE for free or get DTNS Live ad-free. A special thanks to all our supporters–without you, none of this would be possible.Continue reading "Scale AI Lays Off 200 Employees and 500 Contractors – DTH"

This episode has a large news slate: Scale AI cuts hundreds post-Meta, Netflix pricing power to be tested, and Ellison now richer than Zuckerberg. Roundtable: The Big Beautiful Bill https://www.instagram.com/delano.saporu/?hl=en. Connect with me here also: https://newstreetadvisorsgroup.com/social/. Want to support the show? Feel free to do so here! https://anchor.fm/delano-saporu4/support. Thank you for listening.

In this episode of the Brainstorm, Sam, Nick, and Research Analyst, Jozef Soja, dive into the latest advancements in AI with a focus on Grok4 and Meta's strategic moves. They explore Grok4's impressive benchmark performances, the real-world implications of AI tool use, and Meta's aggressive investments in AI talent and infrastructure.If you know ARK, then you probably know about our long-term research projections, like estimating where we will be 5-10 years from now! But just because we are long-term investors, doesn't mean we don't have strong views and opinions on breaking news. In fact, we discuss and debate this every day. So now we're sharing some of these internal discussions with you in our new video series, “The Brainstorm”, a co-production from ARK and Public.com. Tune in every week as we react to the latest in innovation. Here and there we'll be joined by special guests, but ultimately this is our chance to join the conversation and share ARK's quick takes on what's going on in tech today.Key Points From This Episode:Grok4 has set new standards in AI benchmarks, particularly in GPQA and Humanities Last Exam, showcasing its advanced reasoning and tool use capabilities.Real-world applications still present challenges for Grok4, highlighting the gap between theoretical performance and practical use.Meta is making aggressive moves in the AI space, acquiring stakes in companies like Scale AI and investing heavily in AI talent to build a super intelligence team.For more updates on Public.com:Website: https://public.com/YouTube: @publicinvestX: https://twitter.com/public

7月1日，Meta 的 CEO 扎克伯格官宣公司的 AI 团队将进行重大重组，成立全新的Meta 超级人工智能实验室 （Meta Superintelligence Labs，MSL），目标是研发能够超越人类的 AI 超级智能。为了筹建 MSL, 扎克伯格发起了抢人大战，挖来了 Github 前 CEO Nat Friedman 和 AI 公司 Safe Superintelligence 的 CEO Daniel Gross, 还斥巨资从 OpenAI，Anthropic，还有 Google 等公司招募了 11 名顶尖的 AI 人才，其中包括 7 位华人研究人员。 在扎克伯格用天价挖走的人才名单中还包括硅谷的数据标注公司 Scale AI 的创始人 Alexandr Wang。就在两周前，Meta 宣布以 143 亿美元 收购了 Scale AI 49%的股份，但 Meta 真正想要的是公司的灵魂人物 Alexandr Wang。Alex 在 19 岁时从MIT 辍学，成立了 Scale AI，在 2021 年成为全球最年轻的白手起家的亿万富翁，他现在已经被任命为 Meta 的 Chief AI Officer 并且与 Nat Friedman 一起领导 MSL 的产品和应用研究工作。我们今天想要从内部的视角来聊聊 Scale AI 这家公司有什么独特之处，它与 Meta 之间的交易会产生怎样的影响，以及 Meta 的抢人大战会如何搅动硅谷的AI生态。 本期人物 硅谷徐老师，AI 高管、连续创业者、斯坦福客座讲师，小红书和微信视频号：硅谷徐老师 ｜公众号：硅谷云｜ YouTube： Byte into Future Yaxian，「科技早知道」主播 Yunfeng，创业者，曾在 Scale AI 负责 infra 和 ML infra Yuting，创业者，曾在 Scale AI 负责 Gen AI 业务 主要话题 [00:01] Meta 开启天价抢人大战，组建超级智能实验室 （MSL） [03:39] 从标注自动驾驶数据到引领 GenAI 革命，Scale AI 为何如此独特？ [06:39] Scale AI 为何能一直站在数据风口？Alex 对前沿的研究和趋势极其敏感 [13:00] 劳动伦理引争议：Scale AI 到底是 AI 界的「台积电」和是 「富士康」？ [18:53] MIT，斯坦福等天才学生扎堆：Scale AI 凭什么吸引名校毕业生？ [21:51] 143 亿美元挖角 Scale AI，Meta 想要的是什么？ [26:14] Run through the wall，Alex 的管理哲学可能可能重塑 Meta 文化 [35:07] 灵魂人物离开，没有 Alex 的 Scale AI 挑战重重 [39:41] 值得学习的 Scale 文化：Ambition Shapes Reality，Earn Customer Love 幕后制作 监制：Yaxian 后期：迪卡 运营：George 设计：饭团 青少年播客「Knock Knock 世界」 每期 10 分钟，从一个青少年感兴趣的现象谈起，涉及商业科技、社会人文等话题，解读表象背后的深层逻辑，启发青少年提出自己的好奇。每周一、三、五早晨 6 点在各大音频平台准时更新。

Imagine turning down $100 million salaries. That's apparently what's happening at OpenAI. And that's just the tip of the newsworthy AI iceberg for the week. ↳ Meta reportedly failed to acquire Perplexity. Could Apple try next? ↳ Why is Microsoft cutting so many jobs? ↳ Why are AI systems blackmailing at will? ↳ Will too much AI use lead to brain rot?Let's talk AI news shorties. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:$100M AI Salaries Being DeclinedMeta's AI Talent War EffortsMeta's Unsuccessful Acquisitions OverviewBrain Rot Concerns with AI UseOpenAI's $200M DoD ContractGoogle's Voice AI Search RolloutGoogle Gemini 2.5 in ProductionSoftBank's $1T Robotics InvestmentAnthropic's AI Model Risks ExposedMicrosoft and Amazon AI Job CutsTimestamps:00:00 Weekly AI News and Insights04:17 Meta's Major AI Acquisitions08:50 AI Impact on Student Writing Skills12:53 OpenAI Expands Government AI Program15:31 Google Launches Voice AI Search19:32 Google AI Models' Stability Feature22:55 "Project Crystal Land Initiative"27:17 AI Acquisition Talks Intensify29:43 "Apple Eyes Perplexity Acquisition"31:54 Apple's Potential Market Decline36:57 AI Ethics and Safety Concerns40:44 Amazon Warns of AI-Driven Layoffs42:44 AI's Impact on Job Market45:24 "Canvas Tips for Business Intelligence"Keywords:$100 million salaries, AI talent war, Meta, OpenAI, AI signing bonuses, Andrew Bosworth, Scale AI acquisition, Alexander Wang, Safe Superintelligence, Daniel Gross, Nat Friedman, Perplexity AI, Brain rot from AI, chat GBT and brain, MIT study on AI, SAT style essays using AI, AI neural activity, AI and cognitive effort, AI in government, $200 million contract with Department of Defense, OpenAI in security, ChatGPTgov, Federal AI initiatives, Google Gemini 2.5, AI mission-critical business, Gemini 2.5 flashlight, AI model stability, SoftBank $1 trillion investment, Project Crystal Land, Arizona robotics hub, Taiwan Semiconductor Manufacturing Company, Embodied AI, AI job cuts, Microsoft layoffs, Amazon AI workforce, Anthropic study on AI ethics, AI blackmail, Google voice-based AI search, AI search live, New AI apps, Apple acquisition interest in Perplexity, AI-powered search engine, Siri integration, AI-driven efficiencies, GenSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Google Veo 3 today! Sign up at gemini.google to get started. Try Google Veo 3 today! Sign up at gemini.google to get started.

(0:00) The Besties welcome Thomas Laffont! (3:26) State of LA, Hollywood's decline, positivity around GDP growth and AI productivity (10:19) Zuck on tilt over AI: $100M offers, Scale AI deal, hiring spree (23:58) Mag 7 AI Showdown: Ranking the most likely AI winners, biggest stock divergences, and more (42:41) Why Apple is fumbling AI and how they can fix it? (57:02) IPOs and M&A heating up in 2025 (1:16:18) State of liquidity: SPACs, Direct Listings, and more (1:25:40) Amazon's "kingmaker" position, job displacement (1:37:47) Sacks joins to discuss the GENIUS Act passing the Senate (1:52:13) Animal trailer Follow Thomas Laffont: https://x.com/thomas_coatue Animal Trailer: https://www.youtube.com/watch?v=8NNW5r63oXU Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect Referenced in the show: https://techcrunch.com/2025/06/17/sam-altman-says-meta-tried-and-failed-to-poach-openais-talent-with-100m-offers https://www.cnbc.com/2025/06/10/zuckerberg-makes-metas-biggest-bet-on-ai-14-billion-scale-ai-deal.html https://www.nytimes.com/2025/06/12/technology/meta-scale-ai.html https://scale.com/blog/scale-ai-announces-next-phase-of-company-evolution https://www.reuters.com/business/meta-talks-hire-former-github-ceo-nat-friedman-join-ai-efforts-information-2025-06-18 https://techcrunch.com/2012/09/11/mark-zuckerberg-our-biggest-mistake-with-mobile-was-betting-too-much-on-html5 https://www.reuters.com/technology/china-launch-new-40-bln-state-fund-boost-chip-industry-sources-say-2023-09-05 https://x.com/JoannaStern/status/1933564098291048764 https://www.youtube.com/watch?v=wCEkK1YzqBo https://x.com/chamath/status/1932157508698919320 https://www.renaissancecapital.com/IPO-Center/Stats/Pricings https://www.aboutamazon.com/news/company-news/amazon-ceo-andy-jassy-on-generative-ai https://x.com/chamath/status/1935369326321877153 https://x.com/chamath/status/1935740807925100853 https://www.google.com/finance/quote/COIN:NASDAQ https://www.google.com/finance/quote/SPOT:NYSE https://x.com/ylecun/status/1935108028891861393 https://x.com/ben_j_todd/status/1934284189928501482 https://apnews.com/article/election-2024-senate-ohio-brown-moreno-74c4b91e5866215d4201377fefcadad0 https://companiesmarketcap.com/microsoft/revenue https://apnews.com/article/election-2024-senate-ohio-brown-moreno-74c4b91e5866215d4201377fefcadad0 https://www.youtube.com/watch?v=8NNW5r63oXU

Today's show:In this episode, @Jason and @alex explore how AI is reshaping the economy—from Pano AI's $44M raise to fight wildfires with drones, to Amazon CEO Andy Jassy's memo foreshadowing white-collar job cuts, to Meta's stealth move poaching Scale AI talent. They dig into the collapse of early-career roles, the slow disappearance of the gig economy safety net, and why founders may want to think twice before building in public.Timestamps:(1:52) Travel chaos, laundry issues, and the Airbnb event(3:05) CO2 conference highlights and Zipline drone delivery innovation(5:24) AI's effect on job disruption and white-collar retraining(09:46) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(11:01) Jassy on AI's workforce impact and boosting teacher roles(13:23) Media evolution: market resilience and direct communication strategies(20:08) INBOUND - Use code TWIST10 for 10% o your General Admission ticket at https://www.inbound.com/register (Valid thru 7/31)(21:14) OpenAI's podcast, corporate media shifts, and Twist 500 highlights(30:02) NWRA - Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit northwestregisteredagent.com/twist today!(31:20) Insurance, AI, and OpenAI's enterprise focus(41:11) Meta and Traversal's AI bets; startup transparency(48:57) TikTok, US-China tension, and data privacy debate(56:43) Actuality.ai's platform for AI-driven RFPs and enterprise pricing insights(1:11:00) Wrap-up and final thoughts with Rishab GuptaSubscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(09:46) Squarespace - Use offer code TWIST to save 10% off your first purchase of a website or domain at https://www.Squarespace.com/TWIST(20:08) INBOUND - Use code TWIST10 for 10% o your General Admission ticket at https://www.inbound.com/register (Valid thru 7/31)(30:02) NWRA - Form your entire business identity in just 10 clicks and 10 minutes. Get more privacy, more options, and more done—visit northwestregisteredagent.com/twist today!Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

Today's show:Meta just took a 49% stake in Scale AI, and the shockwaves are hitting the entire AI ecosystem. In this episode, @Jason and @alex unpack the deal's implications: Google ($150M customer!) and others are fleeing Scale, worried Meta will hoard its RLHF infrastructure and cut off competitors. Startups like Labelbox, Turing, and Handshake are already seeing a demand surge. Is this smart vertical integration or anti-competitive overreach? Jason shares tactical advice for founders on how to capitalize when incumbents stumble—hire ex-Scale talent, build “Scale AI alternative” SEO pages, and hit the podcast circuit. Don't miss this deep dive into AI's shifting power dynamics.Timestamps:(04:01) Is Jason becoming an AI doomer?!(9:52) OpenPhone - Streamline and scale your customer communications with OpenPhone. Get 20% off your first 6 months at www.openphone.com/⁠twist(13:47) PostHog, and when is it okay for founders to break the rules?(20:56) Vanta - Get $1000 off your SOC 2 at https://www.vanta.com/twist(25:50) Why the Navy is recruiting startups(30:12) Pilot - Visit https://www.pilot.com/twist and get $1,200 off your first year.(39:09) Did Zuck buy Scale in order to keep it from competitors?(56:08) When does incentivizing customers turn into burning capital?(1:04) How raising too much money could KILL your startup!Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.comCheck out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcpFollow Lon:X: https://x.com/lonsFollow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelmFollow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanisThank you to our partners:(9:52) OpenPhone - Streamline and scale your customer communications with OpenPhone. Get 20% off your first 6 months at www.openphone.com/⁠twist(20:56) Vanta - Get $1000 off your SOC 2 at https://www.vanta.com/twist(30:52) Pilot - Visit https://www.pilot.com/twist and get $1,200 off your first year.Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarlandCheck out Jason's suite of newsletters: https://substack.com/@calacanisFollow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: https://www.instagram.com/thisweekinstartupsTikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: https://twistartups.substack.comSubscribe to the Founder University Podcast: https://www.youtube.com/@founderuniversity1916

Meta is going straight superintelligent? OpenAI and Google are teaming up? And Microsoft might kill tutorials? The big AI dogs are at it again, making some head-turning moves in the AI space. Don't get left behind. Join us on Mondays for our AI News That Matters segment. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI & Google Cloud PartnershipMeta's $14B AI Superintelligence BetDisney & Universal vs. Midjourney LawsuitApple's AI Translation Across DevicesOpenAI Expands GPT Projects & FeaturesMicrosoft Updates Copilot Vision ToolsAmazon's AI Video Tool for SellersMeta AI App Privacy ControversyTimestamps:00:00 AI Insights: This Week's Headlines04:28 ChatGPT Project Features Update08:42 AI Wednesdays: Updates and Insights11:57 Meta's $14B Superintelligence Investment15:24 Meta's Acquisition of Scale AI17:31 OpenAI Partners with Google Cloud22:41 Apple Translation Integration Delayed26:00 Third-Party AI to Improve Siri30:43 Microsoft Copilot's Quiet Feature Updates33:40 Amazon Enhances AI for Ads37:34 Copyright Lawsuit: Midjourney vs. Studios41:43 OpenAI O3 Pro: Accuracy Over Speed45:54 AI News & Events Week PreviewKeywords:OpenAI, Google Cloud, Meta, superintelligence, Scale AI, $14 billion investment, artificial superintelligence, Midjourney, Disney lawsuit, Universal lawsuit, AI copyright issues, Microsoft Copilot Vision, Copilot AI updates, real-time AI assistance, AI-powered video generator, Amazon video tools, chat GPT projects, GPTs, AI compute, Tensor Processing Units, regulatory scrutiny, AI market competition, OpenAI revenue, O3 Pro model, ChatGPT Pro, AI reasoning models, voice mode, Apple WWDC, AI translation, Edge AI, cloud infrastructure, Meta AI assistant, Apple AI struggles, Siri upgrade, AI legal battle, OpenAI and Google partnership, Meta's AI investment, $10 billion annual revenue, personal data privacy, Meta privacy concerns, AI model updates.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Google Veo 3 today! Sign up at gemini.google to get started. Try Google Veo 3 today! Sign up at gemini.google to get started.

As businesses are adopting artificial intelligence and beginning to figure out how it will make them money, developers are already working on ways to embody AI in the physical world. From home robots to manufacturing and beyond, tech reporter Belle Lin digs into the industry's plans and tells us whether physical AI might bring both makers and users the big returns on investment they've been anticipating. Alex Ossola hosts. Further Reading:  These Developers Can't Get Excited About Apple's AI Efforts  AI Is Here for Plumbers and Electricians. Will It Transform Home Services?  Companies Are Struggling to Drive a Return on AI. It Doesn't Have to Be That Way.  Nvidia and Perplexity Team Up in European AI Push  Apple Executives Defend Apple Intelligence, Siri and AI Strategy  Meta in Talks to Invest $14 Billion in Scale AI, Hire CEO Alexandr Wang  Apple Fails to Clear a Low Bar on AI  Learn more about your ad choices. Visit megaphone.fm/adchoices

This week, Meta hits the reset button on A.I. But will a new research lab and a multibillion-dollar investment in Scale AI bring the company any closer to its stated goal of “superintelligence”? Then we break down Apple's big developer conference, WWDC: What was announced, what was noticeably absent, and why Apple seems a little stuck in the past. Finally, a couple of weeks ago we asked if your job is being automated away — it's time to open up the listener mail bag and hear what you said.Additional Reading:Meta looks for an A.I. resetApple Executives Defend Apple Intelligence, Siri and A.I. StrategyThis A.I. Company Wants to Take Your JobWe want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Unlock full access to New York Times podcasts and explore everything from politics to pop culture. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify.

Alex Wang is the CEO and co-founder of Scale AI, a leading data platform accelerating the development of artificial intelligence applications. Founded in 2016, Scale AI provides high-quality training data for AI models, serving clients like OpenAI, Microsoft, and the U.S. Department of Defense. A former software engineering prodigy, Wang dropped out of MIT to build Scale AI, which is now valued at over $13 billion. Recognized on Forbes' 30 Under 30 and TIME's 100 Most Influential People in AI, Wang is a prominent voice in shaping the future of AI innovation and deployment. He advocates for responsible AI development and policies to ensure ethical and secure AI advancements. Shawn Ryan Show Sponsors: ⁠https://www.roka.com⁠ - USE CODE SRS ⁠https://www.americanfinancing.net/srs⁠ NMLS 182334, nmlsconsumeraccess.org ⁠https://www.tryarmra.com/srs⁠ ⁠https://www.betterhelp.com/srs⁠ This episode is sponsored by better help. Give online therapy a try at ⁠betterhelp.com/srs⁠ and get on your way to being your best self. ⁠https://www.shawnlikesgold.com⁠ ⁠https://www.lumen.me/srs⁠ ⁠https://www.patriotmobile.com/srs⁠ ⁠https://www.rocketmoney.com/srs⁠ ⁠https://www.shopify.com/srs⁠ ⁠https://trueclassic.com/srs⁠ Upgrade your wardrobe and save on @trueclassic at ⁠trueclassic.com/srs⁠! #trueclassicpod Alex Wang Links: Website - https://scale.com Scale AI X - https://x.com/scale_ai Alex X - https://x.com/alexandr_wang LI - https://www.linkedin.com/company/scaleai Learn more about your ad choices. Visit podcastchoices.com/adchoices

Take the Survey: http://tiny.cc/849 BestPodcastintheMetaverse.com Canary Cry News Talk #849 - 06.11.2025 - Recorded Live to 1s and 0s SUPER BIBLICAL | LA Blitz, Rare Earth Power, Wang Time, Chemtrails, Solar Pole | CCNT 849 Deconstructing World Events from a Biblical Worldview Declaring Jesus as Lord amidst the Fifth Generation War! CageRattlerCoffee.com SD/TC email Ike for discount   Join the Canary Cry Roundtable This Episode was Produced By:   Executive Producers Sir LX Protocol V2 Baron of the Berrean Protocol***   Producers of TREASURE (CanaryCry.Support) John W, American Hobo, Aaron B, Cage Rattler Coffee   Producers of TIME Timestampers: Jade Bouncerson, Morgan E Clippy Team: Courtney S, JOLMS, Kristen Reminders: Clankoniphius Links: JAM   SHOW NOTES/TIMESTAMPS HELLO WORLD   LA RIOTS BLITZ Minion Cosplay Warrior Iran trolls US “Make Mexico Great Again” Flag Mysterious Riot Gear Passed out at Riot   GRETA Clip: Footage, Greta deported from Israel (X) Clip: Greta speaks about getting deported after IDF “kidnapping” (X)   TRUMP/CHINA Trump says US-China deal 'is done' (BBC) Daniel 2:41-43 Revelation 6:5 Revelation 18 Matthew 24 Ezekiel 27 Isaiah 31:1 Job 28   AI/ZUCK Frustrated Zuckerberg makes biggest AI bet, $14B stake in Scale AI, hires founder Wang (CNBC) → Alex Wang, child of Chinese immigrant physicist who worked at LANL!!! → human radiation experiments  → ground zero of manhattan project, weird app released a few years ago   EXEC PRODUCERS   GEOENGINEERING Unsubstantiated ‘chemtrail' conspiracy theories lead to legislation proposed, US statehouses (AP)   SPACE Spacecraft Sends Back First-Ever Images Of Sun's South Pole (Forbes)     END

I explain how and why exactly this big Meta investment in Scale AI came about. Hollywood sues AI in a big way for the first time. A look at how stablecoins have mainstreamed crypto at long last. And episode number 205 of the long running series: we blew up traditional TV just to rebuild it.Links:Meta to Pay Nearly $15 Billion for Scale AI Stake and Startup's 28-Year-Old CEO (The Information)Disney, NBCU sue Midjourney over copyright infringement (Axios)Wikipedia Pauses AI-Generated Summaries After Editor Backlash (404Media)How stablecoins are entering the financial mainstream (Financial Times)EXCLUSIVE: Amazon Doubles Prime Video Ads to 6 Minutes Per Hour (AdWeek)See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Christina Knight, Machine Learning Safety and Evals Lead at Scale AI and former senior policy adviser at the U.S. AI Safety Institute (AISI), joins Kevin Frazier, the AI Innovation and Law Fellow at Texas and a Senior Editor at Lawfare, to break down what it means to test and evaluate frontier AI models as well as the status of international efforts to coordinate on those efforts.This recording took place before the administration changed the name of the U.S. AI Safety Institute to the U.S. Center for AI Standards and Innovation. To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.