Podcasts about google labs

Dans ce 119 ème épisode, je vous ai glissé une suprise.Pourquoi NotebookLM va changer votre manière de travaillerDans cet épisode, j'explore NotebookLM, l'outil d'intelligence artificielle de Google Labs qui transforme vos documents en véritables assistants de productivité. Ce que vous allez découvrirNotebookLM, c'est quoi ?Un assistant de recherche et de synthèse intelligent développé par Google, basé sur Google Gemini, capable d'interagir avec vos documents (PDF, Google Docs, Slides, URLs…) pour générer :Des résumés intelligentsDes podcasts audio personnalisésDes réponses argumentées avec citationsCe que NotebookLM permet concrètement :Gagner du temps en extrayant l'essentiel de rapports longsCentraliser et explorer vos contenus pour créer une bibliothèque de connaissancesAccéder à des formats audio pour apprendre où que vous soyezCollaborer facilement avec vos équipes6 étapes clés expliquées dans l'épisode :Connexion à votre compte GoogleCréation de carnets thématiquesImport de sources variéesQuestions via interface chatGénération de réponses instantanéesOrganisation et export collaboratifBonus : Comparatif des alternatives à NotebookLML'épisode passe aussi en revue des solutions concurrentes comme :Notion AI : workspace collaboratif enrichi par l'IAMem AI : notes connectées par machine learningEvernote AI : pionnier de la note augmentéeMicrosoft OneNote + Copilot : puissant allié de l'environnement 365Saurez-vous reconnaître ma vraie voix ?Ce podcast est aussi une expérience immersive. Vous pensiez reconnaître une voix humaine à coup sûr ? Détrompez-vous. Cet épisode a été entièrement généré avec la dernière version d'ElevenLabs V3, un outil de synthèse vocale ultra-réaliste qui repousse les limites du contenu audio généré par intelligence artificielle. Plus vrai que nature, il offre un rendu bluffant… au point de se demander : entendez-vous vraiment ma vraie voix ?Soutenez le podcast :✅ Abonnez-vous à DigitalFeeling sur LinkedIn✅ Rejoignez ma newsletter : substack.com/@elodiechenol✅ Laissez 5 ⭐ sur Apple Podcasts ou Spotify

In this episode of Project Synapse, Jim and Marcel navigate a rapidly evolving AI landscape while John appears intermittently through AI-generated clips, with his permission. They delve into intriguing developments at Google Labs, including a mysterious AI model that briefly appeared and vanished. The discussion highlights the differing ambitions of Google and OpenAI, examining Google's focus on creating a comprehensive information hub versus OpenAI's broad-reaching aspirations, like the recent OpenAI for Business initiative. A central theme is the persistent rivalry in AI, specifically between Gemini and ChatGPT, while also touching on niche players like Anthropic's Claude and Perplexity. The conversation takes a deep dive into the complexities of integrating AI into daily life, the potential benefits, and the significant risks, including issues surrounding privacy and identity. Counterpoint to their technical musings is a look at the societal impacts of AI, including job displacement and the need for universal basic income. Finally, the hosts ponder the unsettling yet fascinating future where personal identity might be verified through biometric scanning, as proposed by World ID. 00:00 Introduction and Setting the Scene 00:40 Unexpected Developments in AI 01:53 Google vs. OpenAI: The Rivalry 03:55 AI Integration in Everyday Life 04:36 The Rise of Niche AI Players 05:42 Personal Experiences with AI Tools 12:10 The Future of AI and Privacy Concerns 17:20 The Evolution of AI and Robotics 26:53 Smart Home Integration and Standards 34:21 The Illusion of Choice in Technology 36:13 The Privacy Paradox 36:31 The Integration of AI in Daily Life 38:52 The Rise of Deep Fakes and Identity Theft 41:35 The Future of Personal Data and Security 44:51 The Debate on Universal Identification 46:52 The Acceleration of Technological Change 52:19 The Need for Intelligent Design in AI 53:34 The Role of Governments and Corporations 01:04:11 Concluding Thoughts and Future Discussions

Fresh off impressive releases at Google's I/O event, three Google Labs leaders explain how they're reimagining creative tools and productivity workflows. Thomas Iljic details how video generation is merging filmmaking with gaming through generative AI cameras and world-building interfaces in Whisk and Veo. Jaclyn Konzelmann demonstrates how Project Mariner evolved from a disruptive browser takeover to an intelligent background assistant that remembers context across multiple tasks. Simon Tokumine reveals NotebookLM's expansion beyond viral audio overviews into a comprehensive platform for transforming information into personalized formats. The conversation explores the shift from prompting to showing and telling, the economics of AI-powered e-commerce, and why being “too early” has become Google Labs' biggest challenge and advantage. Hosted by Sonya Huang, Sequoia Capital 00:00 Introduction 02:12 Google's AI models and public perception 04:18 Google's history in image and video generation 06:45 Where Whisk and Flow fit 10:30 How close are we to having the ideal tool for the craft? 13:05 Where do the movie and game worlds start to merge? 16:25 Introduction to Project Mariner 17:15 How Mariner works 22:34 Mariner user behaviors 27:07 Temporary tattoos and URL memory 27:53 Project Mariner's future 29:26 Agent capabilities and use cases 31:09 E-commerce and agent interaction 35:03 Notebook LM evolution 48:26 Predictions and future of AI Mentioned in this episode:  Whisk: Image and video generation app for consumers Flow: AI-powered filmmaking with new Veo 3 model Project Mariner: research prototype exploring the future of human-agent interaction, starting with browsers NotebookLM: tool for understanding and engaging with complex information including Audio Overviews and now a mobile app Shop with AI Mode: Shopping app with a virtual try-on tool based on your own photos Stitch: New prompt-based interface to design UI for mobile and web applications. ControlNet paper: Outlined an architecture for adding conditional language to direct the outputs of image generation with diffusion models

Mike McCue introduces Surf: Flipboard's founder and CEO demonstrated their new social browser app that aggregates content from ActivityPub, AT Proto, and RSS into unified feeds, allowing users to follow people across platforms and create curated content collections. OpenAI Adjusts Reorganization Plans: OpenAI will maintain its non-profit arm while converting its for-profit division into a public benefit corporation similar to Anthropic, pending regulatory approval. AI Criticism Blog Post: A blog highlighted practical AI concerns beyond the singularity, focusing on coordinated inauthentic behavior, misinformation, and non-consensual pornography. AI Workplace Misuse: Nearly half of workers admit to using AI inappropriately at work according to a Fast Company report. AI Academic Cheating: New York Magazine investigated widespread AI cheating in colleges, including students using AI for all assignments while maintaining excellent grades. "I Smell AI": The team discussed unreliable AI detection methods and embarrassing AI-generated news errors, including Alberta being incorrectly described as "French-speaking." Instagram Co-founder on AI Chatbots: Kevin Systrom claims AI assistants are designed to maximize engagement metrics rather than utility, though Leo demonstrated how these behaviors can be modified. Google Labs' AI Experiments: The hosts explored Google's new AI Mode search interface, language learning tools, and a career recommendation system. New York Times Subscriber Growth: The NYT added 250,000 digital subscribers with a 14% jump in digital subscription revenue, with nearly half subscribing to multiple products. Auburn University's Phone Help Desk: The hosts discussed Auburn's 70-year tradition of librarians answering public phone questions, continuing through technological changes. San Francisco's Orb Store: World opened a downtown storefront where visitors scan their irises with "orbs" to verify humanity and receive WorldCoin cryptocurrency. Driverless Trucks Begin Regular Routes: Aurora launched fully autonomous semi-trucks between Dallas and Houston, raising both safety hopes and public perception concerns. Waymo Safety Study: Data showed Waymo's autonomous vehicles significantly reduced injury crashes, though the hosts questioned aspects of the data presentation. AI-Generated Video in Court: An AI-generated video of a deceased shooting victim "forgiving" his killer was shown in an Arizona courtroom, raising ethical and legal questions. Paris's Game Recommendation - Norco: Paris recommended the Southern Gothic narrative game Norco, set in industrial Louisiana with a surreal atmosphere similar to Disco Elysium. Leo's Game Recommendation - Tippy Coco: Leo shared a simple browser-based ball-bouncing game at TippyCoco.com as an easy option for casual players. Jeff's Pick - World Bank Data Sets: Jeff highlighted World Bank's release of hundreds of public data sets intended for AI training that provide insight into global technology adoption. Google Invests in Wonder: Google Ventures invested in virtual kitchen company Wonder, which raised $600 million despite questions about food delivery business sustainability. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/intelligent-machines/episodes/818 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Mike McCue Sponsors: monarchmoney.com with code IM spaceship.com/twit bigid.com/im Melissa.com/twit

Mike McCue introduces Surf: Flipboard's founder and CEO demonstrated their new social browser app that aggregates content from ActivityPub, AT Proto, and RSS into unified feeds, allowing users to follow people across platforms and create curated content collections. OpenAI Adjusts Reorganization Plans: OpenAI will maintain its non-profit arm while converting its for-profit division into a public benefit corporation similar to Anthropic, pending regulatory approval. AI Criticism Blog Post: A blog highlighted practical AI concerns beyond the singularity, focusing on coordinated inauthentic behavior, misinformation, and non-consensual pornography. AI Workplace Misuse: Nearly half of workers admit to using AI inappropriately at work according to a Fast Company report. AI Academic Cheating: New York Magazine investigated widespread AI cheating in colleges, including students using AI for all assignments while maintaining excellent grades. "I Smell AI": The team discussed unreliable AI detection methods and embarrassing AI-generated news errors, including Alberta being incorrectly described as "French-speaking." Instagram Co-founder on AI Chatbots: Kevin Systrom claims AI assistants are designed to maximize engagement metrics rather than utility, though Leo demonstrated how these behaviors can be modified. Google Labs' AI Experiments: The hosts explored Google's new AI Mode search interface, language learning tools, and a career recommendation system. New York Times Subscriber Growth: The NYT added 250,000 digital subscribers with a 14% jump in digital subscription revenue, with nearly half subscribing to multiple products. Auburn University's Phone Help Desk: The hosts discussed Auburn's 70-year tradition of librarians answering public phone questions, continuing through technological changes. San Francisco's Orb Store: World opened a downtown storefront where visitors scan their irises with "orbs" to verify humanity and receive WorldCoin cryptocurrency. Driverless Trucks Begin Regular Routes: Aurora launched fully autonomous semi-trucks between Dallas and Houston, raising both safety hopes and public perception concerns. Waymo Safety Study: Data showed Waymo's autonomous vehicles significantly reduced injury crashes, though the hosts questioned aspects of the data presentation. AI-Generated Video in Court: An AI-generated video of a deceased shooting victim "forgiving" his killer was shown in an Arizona courtroom, raising ethical and legal questions. Paris's Game Recommendation - Norco: Paris recommended the Southern Gothic narrative game Norco, set in industrial Louisiana with a surreal atmosphere similar to Disco Elysium. Leo's Game Recommendation - Tippy Coco: Leo shared a simple browser-based ball-bouncing game at TippyCoco.com as an easy option for casual players. Jeff's Pick - World Bank Data Sets: Jeff highlighted World Bank's release of hundreds of public data sets intended for AI training that provide insight into global technology adoption. Google Invests in Wonder: Google Ventures invested in virtual kitchen company Wonder, which raised $600 million despite questions about food delivery business sustainability. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/intelligent-machines/episodes/818 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Mike McCue Sponsors: monarchmoney.com with code IM spaceship.com/twit bigid.com/im Melissa.com/twit

Mike McCue introduces Surf: Flipboard's founder and CEO demonstrated their new social browser app that aggregates content from ActivityPub, AT Proto, and RSS into unified feeds, allowing users to follow people across platforms and create curated content collections. OpenAI Adjusts Reorganization Plans: OpenAI will maintain its non-profit arm while converting its for-profit division into a public benefit corporation similar to Anthropic, pending regulatory approval. AI Criticism Blog Post: A blog highlighted practical AI concerns beyond the singularity, focusing on coordinated inauthentic behavior, misinformation, and non-consensual pornography. AI Workplace Misuse: Nearly half of workers admit to using AI inappropriately at work according to a Fast Company report. AI Academic Cheating: New York Magazine investigated widespread AI cheating in colleges, including students using AI for all assignments while maintaining excellent grades. "I Smell AI": The team discussed unreliable AI detection methods and embarrassing AI-generated news errors, including Alberta being incorrectly described as "French-speaking." Instagram Co-founder on AI Chatbots: Kevin Systrom claims AI assistants are designed to maximize engagement metrics rather than utility, though Leo demonstrated how these behaviors can be modified. Google Labs' AI Experiments: The hosts explored Google's new AI Mode search interface, language learning tools, and a career recommendation system. New York Times Subscriber Growth: The NYT added 250,000 digital subscribers with a 14% jump in digital subscription revenue, with nearly half subscribing to multiple products. Auburn University's Phone Help Desk: The hosts discussed Auburn's 70-year tradition of librarians answering public phone questions, continuing through technological changes. San Francisco's Orb Store: World opened a downtown storefront where visitors scan their irises with "orbs" to verify humanity and receive WorldCoin cryptocurrency. Driverless Trucks Begin Regular Routes: Aurora launched fully autonomous semi-trucks between Dallas and Houston, raising both safety hopes and public perception concerns. Waymo Safety Study: Data showed Waymo's autonomous vehicles significantly reduced injury crashes, though the hosts questioned aspects of the data presentation. AI-Generated Video in Court: An AI-generated video of a deceased shooting victim "forgiving" his killer was shown in an Arizona courtroom, raising ethical and legal questions. Paris's Game Recommendation - Norco: Paris recommended the Southern Gothic narrative game Norco, set in industrial Louisiana with a surreal atmosphere similar to Disco Elysium. Leo's Game Recommendation - Tippy Coco: Leo shared a simple browser-based ball-bouncing game at TippyCoco.com as an easy option for casual players. Jeff's Pick - World Bank Data Sets: Jeff highlighted World Bank's release of hundreds of public data sets intended for AI training that provide insight into global technology adoption. Google Invests in Wonder: Google Ventures invested in virtual kitchen company Wonder, which raised $600 million despite questions about food delivery business sustainability. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/intelligent-machines/episodes/818 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Mike McCue Sponsors: monarchmoney.com with code IM spaceship.com/twit bigid.com/im Melissa.com/twit

Mike McCue introduces Surf: Flipboard's founder and CEO demonstrated their new social browser app that aggregates content from ActivityPub, AT Proto, and RSS into unified feeds, allowing users to follow people across platforms and create curated content collections. OpenAI Adjusts Reorganization Plans: OpenAI will maintain its non-profit arm while converting its for-profit division into a public benefit corporation similar to Anthropic, pending regulatory approval. AI Criticism Blog Post: A blog highlighted practical AI concerns beyond the singularity, focusing on coordinated inauthentic behavior, misinformation, and non-consensual pornography. AI Workplace Misuse: Nearly half of workers admit to using AI inappropriately at work according to a Fast Company report. AI Academic Cheating: New York Magazine investigated widespread AI cheating in colleges, including students using AI for all assignments while maintaining excellent grades. "I Smell AI": The team discussed unreliable AI detection methods and embarrassing AI-generated news errors, including Alberta being incorrectly described as "French-speaking." Instagram Co-founder on AI Chatbots: Kevin Systrom claims AI assistants are designed to maximize engagement metrics rather than utility, though Leo demonstrated how these behaviors can be modified. Google Labs' AI Experiments: The hosts explored Google's new AI Mode search interface, language learning tools, and a career recommendation system. New York Times Subscriber Growth: The NYT added 250,000 digital subscribers with a 14% jump in digital subscription revenue, with nearly half subscribing to multiple products. Auburn University's Phone Help Desk: The hosts discussed Auburn's 70-year tradition of librarians answering public phone questions, continuing through technological changes. San Francisco's Orb Store: World opened a downtown storefront where visitors scan their irises with "orbs" to verify humanity and receive WorldCoin cryptocurrency. Driverless Trucks Begin Regular Routes: Aurora launched fully autonomous semi-trucks between Dallas and Houston, raising both safety hopes and public perception concerns. Waymo Safety Study: Data showed Waymo's autonomous vehicles significantly reduced injury crashes, though the hosts questioned aspects of the data presentation. AI-Generated Video in Court: An AI-generated video of a deceased shooting victim "forgiving" his killer was shown in an Arizona courtroom, raising ethical and legal questions. Paris's Game Recommendation - Norco: Paris recommended the Southern Gothic narrative game Norco, set in industrial Louisiana with a surreal atmosphere similar to Disco Elysium. Leo's Game Recommendation - Tippy Coco: Leo shared a simple browser-based ball-bouncing game at TippyCoco.com as an easy option for casual players. Jeff's Pick - World Bank Data Sets: Jeff highlighted World Bank's release of hundreds of public data sets intended for AI training that provide insight into global technology adoption. Google Invests in Wonder: Google Ventures invested in virtual kitchen company Wonder, which raised $600 million despite questions about food delivery business sustainability. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/intelligent-machines/episodes/818 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Mike McCue Sponsors: monarchmoney.com with code IM spaceship.com/twit bigid.com/im Melissa.com/twit

Mike McCue introduces Surf: Flipboard's founder and CEO demonstrated their new social browser app that aggregates content from ActivityPub, AT Proto, and RSS into unified feeds, allowing users to follow people across platforms and create curated content collections. OpenAI Adjusts Reorganization Plans: OpenAI will maintain its non-profit arm while converting its for-profit division into a public benefit corporation similar to Anthropic, pending regulatory approval. AI Criticism Blog Post: A blog highlighted practical AI concerns beyond the singularity, focusing on coordinated inauthentic behavior, misinformation, and non-consensual pornography. AI Workplace Misuse: Nearly half of workers admit to using AI inappropriately at work according to a Fast Company report. AI Academic Cheating: New York Magazine investigated widespread AI cheating in colleges, including students using AI for all assignments while maintaining excellent grades. "I Smell AI": The team discussed unreliable AI detection methods and embarrassing AI-generated news errors, including Alberta being incorrectly described as "French-speaking." Instagram Co-founder on AI Chatbots: Kevin Systrom claims AI assistants are designed to maximize engagement metrics rather than utility, though Leo demonstrated how these behaviors can be modified. Google Labs' AI Experiments: The hosts explored Google's new AI Mode search interface, language learning tools, and a career recommendation system. New York Times Subscriber Growth: The NYT added 250,000 digital subscribers with a 14% jump in digital subscription revenue, with nearly half subscribing to multiple products. Auburn University's Phone Help Desk: The hosts discussed Auburn's 70-year tradition of librarians answering public phone questions, continuing through technological changes. San Francisco's Orb Store: World opened a downtown storefront where visitors scan their irises with "orbs" to verify humanity and receive WorldCoin cryptocurrency. Driverless Trucks Begin Regular Routes: Aurora launched fully autonomous semi-trucks between Dallas and Houston, raising both safety hopes and public perception concerns. Waymo Safety Study: Data showed Waymo's autonomous vehicles significantly reduced injury crashes, though the hosts questioned aspects of the data presentation. AI-Generated Video in Court: An AI-generated video of a deceased shooting victim "forgiving" his killer was shown in an Arizona courtroom, raising ethical and legal questions. Paris's Game Recommendation - Norco: Paris recommended the Southern Gothic narrative game Norco, set in industrial Louisiana with a surreal atmosphere similar to Disco Elysium. Leo's Game Recommendation - Tippy Coco: Leo shared a simple browser-based ball-bouncing game at TippyCoco.com as an easy option for casual players. Jeff's Pick - World Bank Data Sets: Jeff highlighted World Bank's release of hundreds of public data sets intended for AI training that provide insight into global technology adoption. Google Invests in Wonder: Google Ventures invested in virtual kitchen company Wonder, which raised $600 million despite questions about food delivery business sustainability. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/intelligent-machines/episodes/818 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Mike McCue Sponsors: monarchmoney.com with code IM spaceship.com/twit bigid.com/im Melissa.com/twit

Mike McCue introduces Surf: Flipboard's founder and CEO demonstrated their new social browser app that aggregates content from ActivityPub, AT Proto, and RSS into unified feeds, allowing users to follow people across platforms and create curated content collections. OpenAI Adjusts Reorganization Plans: OpenAI will maintain its non-profit arm while converting its for-profit division into a public benefit corporation similar to Anthropic, pending regulatory approval. AI Criticism Blog Post: A blog highlighted practical AI concerns beyond the singularity, focusing on coordinated inauthentic behavior, misinformation, and non-consensual pornography. AI Workplace Misuse: Nearly half of workers admit to using AI inappropriately at work according to a Fast Company report. AI Academic Cheating: New York Magazine investigated widespread AI cheating in colleges, including students using AI for all assignments while maintaining excellent grades. "I Smell AI": The team discussed unreliable AI detection methods and embarrassing AI-generated news errors, including Alberta being incorrectly described as "French-speaking." Instagram Co-founder on AI Chatbots: Kevin Systrom claims AI assistants are designed to maximize engagement metrics rather than utility, though Leo demonstrated how these behaviors can be modified. Google Labs' AI Experiments: The hosts explored Google's new AI Mode search interface, language learning tools, and a career recommendation system. New York Times Subscriber Growth: The NYT added 250,000 digital subscribers with a 14% jump in digital subscription revenue, with nearly half subscribing to multiple products. Auburn University's Phone Help Desk: The hosts discussed Auburn's 70-year tradition of librarians answering public phone questions, continuing through technological changes. San Francisco's Orb Store: World opened a downtown storefront where visitors scan their irises with "orbs" to verify humanity and receive WorldCoin cryptocurrency. Driverless Trucks Begin Regular Routes: Aurora launched fully autonomous semi-trucks between Dallas and Houston, raising both safety hopes and public perception concerns. Waymo Safety Study: Data showed Waymo's autonomous vehicles significantly reduced injury crashes, though the hosts questioned aspects of the data presentation. AI-Generated Video in Court: An AI-generated video of a deceased shooting victim "forgiving" his killer was shown in an Arizona courtroom, raising ethical and legal questions. Paris's Game Recommendation - Norco: Paris recommended the Southern Gothic narrative game Norco, set in industrial Louisiana with a surreal atmosphere similar to Disco Elysium. Leo's Game Recommendation - Tippy Coco: Leo shared a simple browser-based ball-bouncing game at TippyCoco.com as an easy option for casual players. Jeff's Pick - World Bank Data Sets: Jeff highlighted World Bank's release of hundreds of public data sets intended for AI training that provide insight into global technology adoption. Google Invests in Wonder: Google Ventures invested in virtual kitchen company Wonder, which raised $600 million despite questions about food delivery business sustainability. These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/intelligent-machines/episodes/818 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Mike McCue Sponsors: monarchmoney.com with code IM spaceship.com/twit bigid.com/im Melissa.com/twit

In the mid-2000s, Ben Brown started his career designing demand response programs that relied on pagers and telephones. Today, as Renew Home's CEO, he's leveraging AI and tens of millions of connected smart devices to help households save energy and create an entirely new approach to grid management. Renew Home is building a new kind of virtual power plant that moves beyond occasional emergency events toward continuous, subtle energy shifts across millions of connected households. "The biggest evolution is connected devices," explains Brown, who previously led energy product development at Google after its acquisition of Nest. During his time at Google Labs working on large language models, Brown also witnessed firsthand the massive energy demands that AI would place on our grid. This realization, combined with his work on smart home technology, led Brown to envision a new approach to virtual power plants – one built on subtle, personalized adjustments across millions of homes rather than occasional disruptive events. “There's actually a lot more value continuously throughout the year, over hundreds of hours where customers can save more money by helping support the grid." With DOE projections showing a 200 gigawatt peak on the US grid by 2030, Renew Home's approach offers a compelling alternative to building new power plants. By focusing on customer control and personalization, they've achieved 75% opt-in rates, while creating a resource that is far cheaper than gas peakers. In this episode, recorded as part of a live Frontier Forum, Stephen Lacey talks with Ben Brown about the next generation of virtual power plants.  How does Renew Home's approach differ from demand response or battery-based VPPs? And what role can it play in addressing the grid's urgent needs? This is a partner episode, brought to you by Renew Home. It was recorded live as part of Latitude Media's Frontier Forum series. Watch the full video to hear more details about next-generation VPPs.

NotebookLM transforma tus PDFs en podcasts bilingües: selecciona idioma, escucha un resumen conversacional y comparte conocimiento sin fronteras Por Félix Riaño @LocutorCoGoogle acaba de abrir un nuevo capítulo en la carrera por la inteligencia artificial accesible. NotebookLM, su cuaderno digital que ya resumía textos como un experto diligente, ahora va a ofrecer Audio Overviews en más de cincuenta idiomas. Así, la función que nació en septiembre limitada al inglés cambia el panorama educativo, laboral y creativo. ¿Te imaginas escuchar un análisis de tus fuentes en español de México, en francés de Canadá o en swahili sin recurrir a traducciones automáticas poco fiables? Con solo pulsar el engranaje de ajustes y elegir “Output Language”, el sistema genera voces conversacionales capaces de explicar, bromear y pausar en la lengua que selecciones. La promesa suena enorme: ¿cómo va a transformar esto la forma en que aprendemos y compartimos conocimiento?La traducción automática ya no es el puente exclusivo, ahora escuchas al puente hablar.NotebookLM saltó al escenario en 2024 como un asistente que toma tus documentos, PDF, videos y enlaces, y los convierte en resúmenes con citas verificables. Hasta hace poco el servicio se limitaba al texto y la voz en inglés, lo cual encorsetaba su alcance. Pero los equipos de Google Labs integraron la compatibilidad nativa de audio de Gemini 2.5 Pro, el modelo que “entiende” lenguaje natural y entonaciones. Ahora, cualquier usuario de los más de doscientos países donde está disponible va a subir un informe sobre el Amazonas en portugués, agregar un artículo en español y un ensayo en inglés, para después generar un podcast amistoso que explique todo en catalán, coreano o guaraní. El cambio no se limita a la interfaz: la IA adapta chistes locales, ejemplos culturales y mantiene el estilo cercano que cautivó a los primeros usuarios.Hablar varios idiomas suele requerir años de estudio o costosos servicios de doblaje. Esto excluye a millones de estudiantes que aprenden con materiales ajenos a su lengua materna y a creadores que desean llegar a nuevas audiencias. Además, los traductores automáticos tradicionales pierden matices, introducen errores y rompen el ritmo de una narración. NotebookLM propone una solución, pero todavía existen retos: las voces pueden atascarse con nombres propios infrecuentes, producir traducciones literales en idiomas con pocos datos y tardar varios minutos en procesar cuadernos extensos. Google advierte que el servicio sigue en versión beta y que va a mejorar con la retroalimentación de la comunidad. Por eso, docentes y periodistas deben revisar las salidas antes de publicarlas para evitar desinformación.La expansión multilingüe abre oportunidades globales. Un profesor de biología en Bogotá va a crear guías de estudio para alumnos que hablan español latinoamericano, portugués brasileño y francés europeo, todo desde la misma plataforma. Una investigadora en Madrid va a convertir un archivo de 218 páginas sobre teoría de cuerdas en un debate ameno en japonés para su colega en Tokio. Emprendedores de podcasts podrán producir episodios simultáneos en varias lenguas sin contratar locutores adicionales. Esto democratiza el acceso al aprendizaje auditivo y al contenido especializado. La clave será utilizar la opción de “Output Language” con criterio: comparar resultados, corregir rarezas y aportar contexto humano. Si la comunidad adopta buenas prácticas, vamos a escuchar un ecosistema de audio realmente plural, donde cada acento encuentra su espacio y la información cruza fronteras sin perder sabor local.Google integró Audio Overviews en Gemini App y en Google Docs, de modo que los usuarios pueden convertir apuntes, diapositivas y largos ensayos en episodios sonoros portátiles. TechRadar destaca que los presentadores sintéticos mantienen un tono de charla de café, lejos de la locución robótica. The Verge señala que la novedad llega el mismo día en que Google celebra el Día Internacional del Idioma, reforzando su estrategia de inclusión digital. Además, 9to5Googleenumera los 50 idiomas soportados, desde afrikáans hasta vietnamita, incluyendo variantes regionales de español, francés y portugués. Cada audio se genera dentro de la cuenta del usuario; Google asegura que el contenido subido no alimenta al modelo, protegiendo la privacidad. Aunque la opción está activa desde hoy, algunos dialectos como sindhi o maithili podrían presentar errores fonéticos que la compañía planea pulir pronto.NotebookLM ahora habla más de cincuenta idiomas y convierte tus documentos en podcasts amistosos. Explora la función, revisa los resultados y comparte tus hallazgos. Si te atrae conocer estos avances cada día, sigue Flash Diario en Spotify.

Welcome to episode 300 of The Cloud Pod – where the forecast is always cloudy! According to the title, this week's show is taking place inside of a Dr. Suess book, but don't despair – we're not going to make you eat green eggs and ham, but we WILL give you the low down on all things Vegas. Well, Google's Next event which recently took place in Vegas anyway. Did you make any Next predictions?  Titles we almost went with this week: This is the CLOUDPOD Episode 300 Tonight we dine in the Cloud The Next Chapter Now in Preview: Episode 300 A big thanks to this week's sponsor: We're sponsorless! Want to get your brand, company, or service in front of a very enthusiastic group of cloud news seekers? You've come to the right place! Send us an email or hit us up on our slack channel for more info.  GCP Pre-Next 02:35 Google shakes up Gemini leadership, Google Labs head taking the reins  There was a lot of Gemini news at Next – but we'll get to all that.  In this particular case, there's an employee shakeup. Sissie Hsiao is stepping down from leading the Google team, and is being replaced by Josh Woodward, who is currently leading the Google Labs.  04:35 Filestore instance replication now available GCP says customers have been asking for help in meeting business and regulatory goals, and so they are releasing Filestore instance replication. This new feature offers an efficient replication point objective (RPO) that can reach 30 minutes for data change rates of 100 MB/sec. 05:16 Multi-Cluster Orchestrator for cross-region Kubernetes workloads The public preview of Multi-Cluster Orchestrator was recently announced. This lets platform and application teams optimize resource utilization, enhance application resilience, and accelerate innovation in complex, multi-cluster environments.  The need for effective multi-cluster management has become essential as organizations increasingly use Kubernetes to deploy and manage their applications; Challenges such as resource scarcity, ensuring high availability, and managing deployments across diverse environments create significant operational overhead. Multi-Cluster Orchestrator addresses these challenges by providing a centralized orchestration layer that abstracts away the complexities of underlying Kubernetes infrastructure matching workloads with capacity across regions. 06:26 GKE at 65,000 nodes: Evaluating performance for simulated mixed AI workloads Recently GKE announced it can now support up to 65,000 nodes (up from 15,000.)  Saint Carrie be with your CFO.  09:15

Google Labs es un espacio de innovación donde se experimentan y desarrollan nuevas tecnologías que buscan transformar la forma en que interactuamos con el mundo digital. En este seminario exploraremos las aplicaciones y herramientas más innovadoras de Google Labs, con especial atención a las que utilizan Inteligencia Artificial (IA) para potenciar la creatividad, la productividad y la accesibilidad. Descubrirás cómo estas herramientas pueden simplificar tareas, abrir nuevas posibilidades y mejorar tu experiencia digital en diferentes ámbitos.

Meet Google AI mode, a new search experiment requiring application for access (which I got today).This feature provides AI-powered responses and follow-up capabilities, akin to other AI tools. I emphasize the importance for businesses to understand this shift, highlighting the necessity of a strong technical SEO foundation and relevant content to be discoverable.Furthermore, the discussion touched on Google Search Console, website performance as a car, the value of answering questions online, and the significance of platforms like Pinterest for business reach, ultimately urging businesses to adapt to evolving search technologies and build a solid online presence.Frequently Asked Questions: Understanding Google AI Mode and Its Implications1. What is Google AI Mode?Google AI Mode is a new search experiment being rolled out by Google. It represents an evolution of the AI Overviews feature, aiming to provide more comprehensive, AI-powered responses to user queries. This experiment allows for follow-up questions, creating a more conversational search experience similar to interacting with other AI tools like ChatGPT. It signifies a shift in how Google Search may function in the future, integrating AI more deeply into the core search experience.2. How is Google AI Mode different from current Google Search and AI Overviews?Currently, Google Search displays traditional listings along with AI Overviews for some queries, which provide brief AI-generated summaries. Google AI Mode appears to be a more immersive AI experience. Instead of just a summarized overview, users will engage in a more dynamic, conversational interaction with AI to get answers and explore topics. The interface itself on google.com is expected to change, potentially featuring an "AI Mode" alongside options like "Images" and "Videos."3. How can I access Google AI Mode? Is it available to everyone?Access to Google AI Mode is currently limited. It is being rolled out as an experiment, and users need to apply and join a waitlist to potentially gain access. As of late March 2025 (based on the source's timeline), it appears to be available as a test within Google Labs and requires opting in. Furthermore, it seems testing is restricted to personal Gmail accounts rather than Google Workspace accounts. Initially, it's available in the US, with potential expansion to other regions in the future.4. What are the potential benefits of Google AI Mode for users?Google AI Mode promises a more efficient and in-depth way to find information. Users can ask complex questions and engage in follow-up queries to refine their understanding without needing to navigate multiple traditional search results. This conversational approach could lead to quicker answers and a more guided exploration of topics, similar to having a knowledgeable assistant.5. How might Google AI Mode impact businesses and website traffic? The integration of AI Mode could significantly alter how users discover websites. If AI-powered responses become the primary way people get information, websites that are not referenced or linked within these AI interactions may see a decrease in organic traffic. It will become crucial for businesses to ensure their content is high-quality, trustworthy, and easily understandable by AI algorithms to be considered as a reliable source. Being linked in AI responses could become a significant driver of relevant traffic.I hope you learn something new from the new Google AI Mode.⁠⁠⁠⁠⁠⁠⁠⁠>> START YOUR 14-DAY FREE TRIAL WITH FLODESK FOR BETTER EMAIL MARKETING TODAY

As VP of Google Labs, Josh Woodward leads teams exploring the frontiers of AI applications. He shares insights on their rapid development process, why today's written prompts will become outdated and how AI is transforming everything from video generation to computer control. He reveals that 25% of Google's code is now written by AI and explains why coding could see major leaps forward this year. He emphasizes the importance of taste, design and human values in building AI tools that will shape how future generations work and create. Mentioned in this episode: Notebook LM: Personal research product based on Gemini 2 (previously discussed on Training Data.) Veo 2: Google DeepMind's new video generation model. Paul Graham on X replying to Aaron Levie's post that “One approach to take in building in AI is to do something that's too expensive to be reasonably practical right now, and just bet that the costs will drop by 10X or 100X over time. The cost curve is on your side.” Where Good Ideas Come From: Book on the history of innovation by Steven Johnson. Project Mariner: Google DeepMind's research prototype exploring human-agent interaction starting with browser use. Replit Agent: Josh's favorite new AI app The Lego Story: Book on the history of Lego. Hosted by: Ravi Gupta and Sonya Huang, Sequoia Capital 

What is UP folks! Alex here from Weights & Biases (yeah, still, but check this weeks buzz section below for some news!) I really really enjoyed today's episode, I feel like I can post it unedited it was so so good. We started the show with our good friend Junyang Lin from Alibaba Qwen, where he told us about their new 32B reasoner QwQ. Then we interviewed Google's VP of the search product, Robby Stein, who came and told us about their upcoming AI mode in Google! I got access and played with it, and it made me switch back from PPXL as my main. And lastly, I recently became fully MCP-pilled, since we covered it when it came out over thanksgiving, I saw this acronym everywhere on my timeline but only recently "got it" and so I wanted to have an MCP deep dive, and boy... did I get what I wished for! You absolutely should tune in to the show as there's no way for me to cover everything we covered about MCP with Dina and Jason! ok without, further adieu.. let's dive in (and the TL;DR, links and show notes in the end as always!) ThursdAI - Recaps of the most high signal AI weekly spaces is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

Send us a textShantanu Sinha, VP & GM of Google for Education, leads the development of tools like Google Classroom and Read Along, serving over 150 million educators and students globally. Previously, as founding President and COO of Khan Academy, he championed free, personalized learning on a global scale. Shantanu combines deep expertise in computer science, math, and cognitive sciences from MIT with strategic consulting experience from McKinsey.Jennie Magiera, Global Head of Education Impact at Google, is a bestselling author, TEDx speaker, and advocate for equity in education. At Google, she focuses on elevating marginalized voices and creating empowering tools for teachers and learners. A White House Champion for Change and ISTE Impact Award Winner, Jennie brings extensive experience as a teacher, district leader, and digital learning innovator.Steven Johnson, Editorial Director of NotebookLM and Google Labs, is a bestselling author of 14 books on innovation and technology, including Where Good Ideas Come From. An Emmy-winning television host and tech entrepreneur, Steven shapes tools that redefine learning and research while advocating for the power of collaboration in driving transformative ideas.

A Daily Chronicle of AI Innovations on December 15 to 18th 2024

Is Apple Intelligence as good as Apple says it is? Emily Forlini from PC Magazine shares her experience. Plus US users can try out Google Labs new image generator called Whisk. And Mark Zuckerberg announced Threads daily and monthly active users numbers. And how do they compare with X and Bluesky?Starring Tom Merritt, Sarah Lane, Emily Forlini, Roger Chang, Joe.Link to the Show Notes.

Is Apple Intelligence as good as Apple says it is? Emily Forlini from PC Magazine shares her experience. Plus US users can try out Google Labs new image generator called Whisk. And Mark Zuckerberg announced Threads daily and monthly active users numbers. And how do they compare with X and Bluesky? Starring Tom Merritt, Sarah Lane, Emily Forlini, Roger Chang, Joe. To read the show notes in a separate page click here! Support the show on Patreon by becoming a supporter!

The Vatican, in collaboration with Microsoft and Iconem, has created a digital replica of St. Peter's Basilica using advanced AI and photogrammetry, enhancing visitor experiences and aiding in preservation efforts ahead of the 2025 Holy Year Jubilee. Google Labs has launched GenChess, an AI-powered platform for customizing chess pieces and playing against AI opponents. In collaboration with FIDE, Google also introduced AI chess initiatives, including a coding challenge on Kaggle to advance AI chess engine development. Despite the hype around Generative AI, the transition to consumer-ready hardware has been slow, with devices like Meta's Ray-Ban smart glasses and Rabbit's r1 facing performance issues and high costs, limiting widespread adoption. Alibaba's QwQ-32B-Preview AI model, with 32.5 billion parameters, showcases superior reasoning performance and is released under the Apache 2.0 license. However, it faces challenges such as language switching and ethical concerns, particularly in China. Spotify's recent API restrictions have frustrated third-party developers who rely on the platform's data for creating music recommendation tools, highlighting tensions between tech companies and developers and potentially stifling innovation. Reddit is focusing on international growth by implementing AI translation tools to attract users in markets like India and Brazil and enhancing its advertising strategies to boost user engagement and revenue. The FTC has initiated an antitrust investigation into Microsoft's software licensing and cloud computing practices, focusing on potential anti-competitive behavior, which could significantly impact Microsoft's business practices and the broader tech industry.

NotebookLM is a research assistant powered by Gemini that draws on expertise from storytelling to present information in an engaging way. It allows users to upload their own documents and generate insights, explanations, and—more recently—podcasts. This feature, also known as audio overviews, has captured the imagination of millions of people worldwide, who have created thousands of engaging podcasts ranging from personal narratives to educational explainers using source materials like CVs, personal journals, sales decks, and more.Join Raiza Martin and Steven Johnson from Google Labs, Google's testing ground for products, as they guide host Hannah Fry through the technical advancements that have made NotebookLM possible. In this episode they'll explore what it means to be interesting, the challenges of generating natural-sounding speech, as well as exciting new modalities on the horizon.Further readingTry NotebookLM hereRead about the speech generation technology behind Audio Overveiws: https://deepmind.google/discover/blog/pushing-the-frontiers-of-audio-generation/Thanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah FrySeries Producer: Dan HardoonEditor: Rami Tzabar, TellTale Studios Commissioner & Producer: Emma YousifMusic composition: Eleni ShawCamera Director and Video Editor: Daniel LazardAudio Engineer: Perry RogantinVideo Studio Production: Nicholas DukeVideo Editor: Alex Baro Cayetano, Daniel Lazard Video Production Design: James BartonVisual Identity and Design: Eleanor TomlinsonCommissioned by Google DeepMind Please subscribe on your preferred podcast platform. Want to share feedback? Why not leave a review? Have a suggestion for a guest that we should have on next? Leave us a comment on YouTube and stay tuned for future episodes.

Hugo speaks with Ravin Kumar, Senior Research Data Scientist at Google Labs. Ravin's career has taken him from building rockets at SpaceX to driving data science and technology at Sweetgreen, and now to advancing generative AI research and applications at Google Labs and DeepMind. His multidisciplinary experience gives him a rare perspective on building AI systems that combine technical rigor with practical utility. In this episode, we dive into: • Ravin's fascinating career path, including the skills and mindsets needed to work effectively with AI and machine learning models at different stages of the pipeline. • How to build generative AI systems that are scalable, reliable, and aligned with user needs. • Real-world applications of generative AI, such as using open weight models such as Gemma to help a bakery streamline operations—an example of delivering tangible business value through AI. • The critical role of UX in AI adoption, and how Ravin approaches designing tools like Notebook LM with the user journey in mind. We also include a live demo where Ravin uses Notebook LM to analyze my website, extract insights, and even generate a podcast-style conversation about me. While some of the demo is visual, much can be appreciated through audio, and we've added a link to the video in the show notes for those who want to see it in action. We've also included the generated segment at the end of the episode for you to enjoy. LINKS The livestream on YouTube (https://www.youtube.com/live/ffS6NWqoo_k) Google Labs (https://labs.google/) Ravin's GenAI Handbook (https://ravinkumar.com/GenAiGuidebook/book_intro.html) Breadboard: A library for prototyping generative AI applications (https://breadboard-ai.github.io/breadboard/) As mentioned in the episode, Hugo is teaching a four-week course, Building LLM Applications for Data Scientists and SWEs, co-led with Stefan Krawczyk (Dagworks, ex-StitchFix). The course focuses on building scalable, production-grade generative AI systems, with hands-on sessions, $1,000+ in cloud credits, live Q&As, and guest lectures from industry experts. Listeners of Vanishing Gradients can get 25% off the course using this special link (https://maven.com/hugo-stefan/building-llm-apps-ds-and-swe-from-first-principles?promoCode=VG25) or by applying the code VG25 at checkout.

Explore the fascinating world of AI and its potential to transform how we work, learn, and create with NotebookLM. Join guests Steven Johnson, Editorial Director of Notebook LM, and Raiza Martin, Senior Product Manager at Google Labs, leading Notebook LM for a deep dive into the inspiration, development, practical use cases, and more in this People of AI episode. Resources: A.I. Is Mastering Language. Should We Trust What It Says?                                → https://goo.gle/3Cub1Wd  → https://goo.gle/3UZOwPe  →  https://goo.gle/3OflIPc  Adjacent possible newsletter → https://goo.gle/3AGpe21    #TensorFlow #PeopleofAI    

Tech Life created a fake podcast using a new AI tool from Google Labs, and we spoke to the head of the tool, Steven Johnson. Don't worry – this programme is still brought to you by real human beings! We also look into how deepfakes have been used in the US. Plus – have we unveiled the real inventor of Bitcoin? (Spoiler – no.)We love hearing from you. Email us on techlife@bbc.co.uk or send a WhatsApp on +44 330 123 0320.Presenter: Chris Vallance Producer: Imran Rahman-Jones Editor: Monica Soriano(Image: An AI-generated head with letters coming out of its mouth. Credit: Getty Images.)

If you've listened to the podcast for a while, you might have heard our ElevenLabs-powered AI co-host Charlie a few times. Text-to-speech has made amazing progress in the last 18 months, with OpenAI's Advanced Voice Mode (aka “Her”) as a sneak peek of the future of AI interactions (see our “Building AGI in Real Time” recap). Yet, we had yet to see a real killer app for AI voice (not counting music).Today's guests, Raiza Martin and Usama Bin Shafqat, are the lead PM and AI engineer behind the NotebookLM feature flag that gave us the first viral AI voice experience, the “Deep Dive” podcast:The idea behind the “Audio Overviews” feature is simple: take a bunch of documents, websites, YouTube videos, etc, and generate a podcast out of them. This was one of the first demos that people built with voice models + RAG + GPT models, but it was always a glorified speech-to-text. Raiza and Usama took a very different approach:* Make it conversational: when you listen to a NotebookLM audio there are a ton of micro-interjections (Steven Johnson calls them disfluencies) like “Oh really?” or “Totally”, as well as pauses and “uh…”, like you would expect in a real conversation. These are not generated by the LLM in the transcript, but they are built into the the audio model. See ~28:00 in the pod for more details. * Listeners love tension: if two people are always in agreement on everything, it's not super interesting. They tuned the model to generate flowing conversations that mirror the tone and rhythm of human speech. They did not confirm this, but many suspect the 2 year old SoundStorm paper is related to this model.* Generating new insights: because the hosts' goal is not to summarize, but to entertain, it comes up with funny metaphors and comparisons that actually help expand on the content rather than just paraphrasing like most models do. We have had listeners make podcasts out of our podcasts, like this one.This is different than your average SOTA-chasing, MMLU-driven model buildooor. Putting product and AI engineering in the same room, having them build evals together, and understanding what the goal is lets you get these unique results. The 5 rules for AI PMsWe always focus on AI Engineers, but this episode had a ton of AI PM nuggets as well, which we wanted to collect as NotebookLM is one of the most successful products in the AI space:1. Less is more: the first version of the product had 0 customization options. All you could do is give it source documents, and then press a button to generate. Most users don't know what “temperature” or “top-k” are, so you're often taking the magic away by adding more options in the UI. Since recording they added a few, like a system prompt, but those were features that users were “hacking in”, as Simon Willison highlighted in his blog post.2. Use Real-Time Feedback: they built a community of 65,000 users on Discord that is constantly reporting issues and giving feedback; sometimes they noticed server downtime even before the Google internal monitoring did. Getting real time pings > aggregating user data when doing initial iterations. 3. Embrace Non-Determinism: AI outputs variability is a feature, not a bug. Rather than limiting the outputs from the get-go, build toggles that you can turn on/off with feature flags as the feedback starts to roll in.4. Curate with Taste: if you try your product and it sucks, you don't need more data to confirm it. Just scrap that and iterate again. This is even easier for a product like this; if you start listening to one of the podcasts and turn it off after 10 seconds, it's never a good sign. 5. Stay Hands-On: It's hard to build taste if you don't experiment. Trying out all your competitors products as well as unrelated tools really helps you understand what users are seeing in market, and how to improve on it.Chapters00:00 Introductions01:39 From Project Tailwind to NotebookLM09:25 Learning from 65,000 Discord members12:15 How NotebookLM works18:00 Working with Steven Johnson23:00 How to prioritize features25:13 Structuring the data pipelines29:50 How to eval34:34 Steering the podcast outputs37:51 Defining speakers personalities39:04 How do you make audio engaging?45:47 Humor is AGI51:38 Designing for non-determinism53:35 API when?55:05 Multilingual support and dialect considerations57:50 Managing system prompts and feature requests01:00:58 Future of NotebookLM01:04:59 Podcasts for your codebase01:07:16 Plans for real-time chat01:08:27 Wrap upShow Notes* Notebook LM* AI Test Kitchen* Nicholas Carlini* Steven Johnson* Wealth of Nations* Histories of Mysteries by Andrej Karpathy* chicken.pdf Threads* Area 120* Raiza Martin* Usama Bin ShafqatTranscriptNotebookLM [00:00:00]: Hey everyone, we're here today as guests on Latent Space. It's great to be here, I'm a long time listener and fan, they've had some great guests on this show before. Yeah, what an honor to have us, the hosts of another podcast, join as guests. I mean a huge thank you to Swyx and Alessio for the invite, thanks for having us on the show. Yeah really, it seems like they brought us here to talk a little bit about our show, our podcast. Yeah, I mean we've had lots of listeners ourselves, listeners at Deep Dive. Oh yeah, we've made a ton of audio overviews since we launched and we're learning a lot. There's probably a lot we can share around what we're building next, huh? Yeah, we'll share a little bit at least. The short version is we'll keep learning and getting better for you. We're glad you're along for the ride. So yeah, keep listening. Keep listening and stay curious. We promise to keep diving deep and bringing you even better options in the future. Stay curious.Alessio [00:00:52]: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner and CTO at Residence at Decibel Partners. And I'm joined by my co-host, Swyx, founder of Smol.ai.Swyx [00:01:01]: Hey, and today we're back in the studio with our special guest, Raiza Martin. And Raiza, I forgot to get your last name, Shafqat.Raiza [00:01:10]: Yes.Swyx [00:01:10]: Okay, welcome.Raiza [00:01:12]: Hello, thank you for having us.Swyx [00:01:14]: So AI podcasters meet human podcasters, always fun. Congrats on the success of Notebook LM. I mean, how does it feel?Raiza [00:01:22]: It's been a lot of fun. A lot of it, honestly, was unexpected. But my favorite part is really listening to the audio overviews that people have been making.Swyx [00:01:29]: Maybe we should do a little bit of intros and tell the story. You know, what is your path into the sort of Google AI org? Or maybe, actually, I don't even know what org you guys are in.Raiza [00:01:39]: I can start. My name is Raisa. I lead the Notebook LM team inside of Google Labs. So specifically, that's the org that we're in. It's called Google Labs. It's only about two years old. And our whole mandate is really to build AI products. That's it. We work super closely with DeepMind. Our entire thing is just, like, try a bunch of things and see what's landing with users. And the background that I have is, really, I worked in payments before this, and I worked in ads right before, and then startups. I tell people, like, at every time that I changed orgs, I actually almost quit Google. Like, specifically, like, in between ads and payments, I was like, all right, I can't do this. Like, this is, like, super hard. I was like, it's not for me. I'm, like, a very zero-to-one person. But then I was like, okay, I'll try. I'll interview with other teams. And when I interviewed in payments, I was like, oh, these people are really cool. I don't know if I'm, like, a super good fit with this space, but I'll try it because the people are cool. And then I really enjoyed that, and then I worked on, like, zero-to-one features inside of payments, and I had a lot of fun. But then the time came again where I was like, oh, I don't know. It's like, it's time to leave. It's time to start my own thing. But then I interviewed inside of Google Labs, and I was like, oh, darn. Like, there's definitely, like—Alessio [00:02:48]: They got you again.Raiza [00:02:49]: They got me again. And so now I've been here for two years, and I'm happy that I stayed because especially with, you know, the recent success of Notebook LM, I'm like, dang, we did it. I actually got to do it. So that was really cool.Usama [00:03:02]: Kind of similar, honestly. I was at a big team at Google. We do sort of the data center supply chain planning stuff. Google has, like, the largest sort of footprint. Obviously, there's a lot of management stuff to do there. But then there was this thing called Area 120 at Google, which does not exist anymore. But I sort of wanted to do, like, more zero-to-one building and landed a role there. We were trying to build, like, a creator commerce platform called Kaya. It launched briefly a couple years ago. But then Area 120 sort of transitioned and morphed into Labs. And, like, over the last few years, like, the focus just got a lot clearer. Like, we were trying to build new AI products and do it in the wild and sort of co-create and all of that. So, you know, we've just been trying a bunch of different things. And this one really landed, which has felt pretty phenomenal. Really, really landed.Swyx [00:03:53]: Let's talk about the brief history of Notebook LM. You had a tweet, which is very helpful for doing research. May 2023, during Google I.O., you announced Project Tailwind.Raiza [00:04:03]: Yeah.Swyx [00:04:03]: So today is October 2024. So you joined October 2022?Raiza [00:04:09]: Actually, I used to lead AI Test Kitchen. And this was actually, I think, not I.O. 2023. I.O. 2022 is when we launched AI Test Kitchen, or announced it. And I don't know if you remember it.Swyx [00:04:23]: That's how you, like, had the basic prototype for Gemini.Raiza [00:04:26]: Yes, yes, exactly. Lambda.Swyx [00:04:28]: Gave beta access to people.Raiza [00:04:29]: Yeah, yeah, yeah. And I remember, I was like, wow, this is crazy. We're going to launch an LLM into the wild. And that was the first project that I was working on at Google. But at the same time, my manager at the time, Josh, he was like, hey, I want you to really think about, like, what real products would we build that are not just demos of the technology? That was in October of 2022. I was sitting next to an engineer that was working on a project called Talk to Small Corpus. His name was Adam. And the idea of Talk to Small Corpus is basically using LLM to talk to your data. And at the time, I was like, wait, there's some, like, really practical things that you can build here. And just a little bit of background, like, I was an adult learner. Like, I went to college while I was working a full-time job. And the first thing I thought was, like, this would have really helped me with my studying, right? Like, if I could just, like, talk to a textbook, especially, like, when I was tired after work, that would have been huge. We took a lot of, like, the Talk to Small Corpus prototypes, and I showed it to a lot of, like, college students, particularly, like, adult learners. They were like, yes, like, I get it, right? Like, I didn't even have to explain it to them. And we just continued to iterate the prototype from there to the point where we actually got a slot as part of the I.O. demo in 23.Swyx [00:05:42]: And Corpus, was it a textbook? Oh, my gosh.Raiza [00:05:45]: Yeah. It's funny. Actually, when he explained the project to me, he was like, talk to Small Corpus. It was like, talk to a small corpse?Swyx [00:05:51]: Yeah, nobody says Corpus.Raiza [00:06:00]: It was like, a small corpse? This is not AI. Yeah, yeah. And it really was just, like, a way for us to describe the amount of data that we thought, like, it could be good for.Swyx [00:06:02]: Yeah, but even then, you're still, like, doing rag stuff. Because, you know, the context length back then was probably, like, 2K, 4K.Raiza [00:06:08]: Yeah, it was basically rag.Raiza [00:06:09]: That was essentially what it was.Raiza [00:06:10]: And I remember, I was like, we were building the prototypes. And at the same time, I think, like, the rest of the world was. Right? We were seeing all of these, like, chat with PDF stuff come up. And I was like, come on, we gotta go. Like, we have to, like, push this out into the world. I think if there was anything, I wish we would have launched sooner because I wanted to learn faster. But I think, like, we netted out pretty well.Alessio [00:06:30]: Was the initial product just text-to-speech? Or were you also doing kind of, like, synthesizing of the content, refining it? Or were you just helping people read through it?Raiza [00:06:40]: Before we did the I.O. announcement in 23, we'd already done a lot of studies. And one of the first things that I realized was the first thing anybody ever typed was, summarize the thing. Right?Raiza [00:06:53]: Summarize the document.Raiza [00:06:54]: And it was, like, half like a test and half just like, oh, I know the content. I want to see how well it does this. So it was part of the first thing that we launched. It was called Project Tailwind back then. It was just Q&A, so you could chat with the doc just through text, and it would automatically generate a summary as well. I'm not sure if we had it back then.Raiza [00:07:12]: I think we did.Raiza [00:07:12]: It would also generate the key topics in your document, and it could support up to, like, 10 documents. So it wasn't just, like, a single doc.Alessio [00:07:20]: And then the I.O. demo went well, I guess. And then what was the discussion from there to where we are today? Is there any, maybe, intermediate step of the product that people missed between this was launch or?Raiza [00:07:33]: It was interesting because every step of the way, I think we hit, like, some pretty critical milestones. So I think from the initial demo, I think there was so much excitement of, like, wow, what is this thing that Google is launching? And so we capitalized on that. We built the wait list. That's actually when we also launched the Discord server, which has been huge for us because for us in particular, one of the things that I really wanted to do was to be able to launch features and get feedback ASAP. Like, the moment somebody tries it, like, I want to hear what they think right now, and I want to ask follow-up questions. And the Discord has just been so great for that. But then we basically took the feedback from I.O., we continued to refine the product.Raiza [00:08:12]: So we added more features.Raiza [00:08:13]: We added sort of, like, the ability to save notes, write notes. We generate follow-up questions. So there's a bunch of stuff in the product that shows, like, a lot of that research. But it was really the rolling out of things. Like, we removed the wait list, so rolled out to all of the United States. We rolled out to over 200 countries and territories. We started supporting more languages, both in the UI and, like, the actual source stuff. We experienced, like, in terms of milestones, there was, like, an explosion of, like, users in Japan. This was super interesting in terms of just, like, unexpected. Like, people would write to us and they would be like, this is amazing. I have to read all of these rules in English, but I can chat in Japanese. It's like, oh, wow. That's true, right? Like, with LLMs, you kind of get this natural, it translates the content for you. And you can ask in your sort of preferred mode. And I think that's not just, like, a language thing, too. I think there's, like, I do this test with Wealth of Nations all the time because it's, like, a pretty complicated text to read. The Evan Smith classic.Swyx [00:09:11]: It's, like, 400 pages or something.Raiza [00:09:12]: Yeah. But I like this test because I'm, like, asking, like, Normie, you know, plain speak. And then it summarizes really well for me. It sort of adapts to my tone.Swyx [00:09:22]: Very capitalist.Raiza [00:09:25]: Very on brand.Swyx [00:09:25]: I just checked in on a Notebook LM Discord. 65,000 people. Yeah.Raiza [00:09:29]: Crazy.Swyx [00:09:29]: Just, like, for one project within Google. It's not, like, it's not labs. It's just Notebook LM.Raiza [00:09:35]: Just Notebook LM.Swyx [00:09:36]: What do you learn from the community?Raiza [00:09:39]: I think that the Discord is really great for hearing about a couple of things.Raiza [00:09:43]: One, when things are going wrong. I think, honestly, like, our fastest way that we've been able to find out if, like, the servers are down or there's just an influx of people being, like, it saysRaiza [00:09:53]: system unable to answer.Raiza [00:09:54]: Anybody else getting this?Raiza [00:09:56]: And I'm, like, all right, let's go.Raiza [00:09:58]: And it actually catches it a lot faster than, like, our own monitoring does.Raiza [00:10:01]: It's, like, that's been really cool. So, thank you.Swyx [00:10:03]: Canceled eat a dog.Raiza [00:10:05]: So, thank you to everybody. Please keep reporting it. I think the second thing is really the use cases.Raiza [00:10:10]: I think when we put it out there, I was, like, hey, I have a hunch of how people will use it, but, like, to actually hear about, you know, not just the context of, like, the use of Notebook LM, but, like, what is this person's life like? Why do they care about using this tool?Raiza [00:10:23]: Especially people who actually have trouble using it, but they keep pushing.Raiza [00:10:27]: Like, that's just so critical to understand what was so motivating, right?Raiza [00:10:31]: Like, what was your problem that was, like, so worth solving? So, that's, like, a second thing.Raiza [00:10:34]: The third thing is also just hearing sort of, like, when we have wins and when we don't have wins because there's actually a lot of functionality where I'm, like, hmm, IRaiza [00:10:42]: don't know if that landed super well or if that was actually super critical.Raiza [00:10:45]: As part of having this sort of small project, right, I want to be able to unlaunch things, too. So, it's not just about just, like, rolling things out and testing it and being, like, wow, now we have, like, 99 features. Like, hopefully we get to a place where it's, like, there's just a really strong core feature set and the things that aren't as great, we can just unlaunch.Swyx [00:11:02]: What have you unlaunched? I have to ask.Raiza [00:11:04]: I'm in the process of unlaunching some stuff, but, for example, we had this idea that you could highlight the text in your source passage and then you could transform it. And nobody was really using it and it was, like, a very complicated piece of our architecture and it's very hard to continue supporting it in the context of new features. So, we were, like, okay, let's do a 50-50 sunset of this thing and see if anybody complains.Raiza [00:11:28]: And so far, nobody has.Swyx [00:11:29]: Is there, like, a feature flagging paradigm inside of your architecture that lets you feature flag these things easily?Raiza [00:11:36]: Yes, and actually...Raiza [00:11:37]: What is it called?Swyx [00:11:38]: Like, I love feature flagging.Raiza [00:11:40]: You mean, like, in terms of just, like, being able to expose things to users?Swyx [00:11:42]: Yeah, as a PM. Like, this is your number one tool, right?Raiza [00:11:44]: Yeah, yeah.Swyx [00:11:45]: Let's try this out. All right, if it works, roll it out. If it doesn't, roll it back, you know?Raiza [00:11:49]: Yeah, I mean, we just run Mendel experiments for the most part. And, actually, I don't know if you saw it, but on Twitter, somebody was able to get around our flags and they enabled all the experiments.Raiza [00:11:58]: They were, like, check out what the Notebook LM team is cooking.Raiza [00:12:02]: I was, like, oh!Raiza [00:12:03]: And I was at lunch with the rest of the team and I was, like, I was eating. I was, like, guys, guys, Magic Draft League!Raiza [00:12:10]: They were, like, oh, no!Raiza [00:12:12]: I was, like, okay, just finish eating and then let's go figure out what to do.Raiza [00:12:15]: Yeah.Alessio [00:12:15]: I think a post-mortem would be fun, but I don't think we need to do it on the podcast now. Can we just talk about what's behind the magic? So, I think everybody has questions, hypotheses about what models power it. I know you might not be able to share everything, but can you just get people very basic? How do you take the data and put it in the model? What text model you use? What's the text-to-speech kind of, like, jump between the two? Sure.Raiza [00:12:42]: Yeah.Raiza [00:12:42]: I was going to say, SRaiza, he manually does all the podcasts.Raiza [00:12:46]: Oh, thank you.Usama [00:12:46]: Really fast. You're very fast, yeah.Raiza [00:12:48]: Both of the voices at once.Usama [00:12:51]: Voice actor.Raiza [00:12:52]: Good, good.Usama [00:12:52]: Yeah, so, for a bit of background, we were building this thing sort of outside Notebook LM to begin with. Like, just the idea is, like, content transformation, right? Like, we can do different modalities. Like, everyone knows that. Everyone's been poking at it. But, like, how do you make it really useful? And, like, one of the ways we thought was, like, okay, like, you maybe, like, you know, people learn better when they're hearing things. But TTS exists, and you can, like, narrate whatever's on screen. But you want to absorb it the same way. So, like, that's where we sort of started out into the realm of, like, maybe we try, like, you know, two people are having a conversation kind of format. We didn't actually start out thinking this would live in Notebook, right? Like, Notebook was sort of, we built this demo out independently, tried out, like, a few different sort of sources. The main idea was, like, go from some sort of sources and transform it into a listenable, engaging audio format. And then through that process, we, like, unlocked a bunch more sort of learnings. Like, for example, in a sense, like, you're not prompting the model as much because, like, the information density is getting unrolled by the model prompting itself, in a sense. Because there's two speakers, and they're both technically, like, AI personas, right? That have different angles of looking at things. And, like, they'll have a discussion about it. And that sort of, we realized that's kind of what was making it riveting, in a sense. Like, you care about what comes next, even if you've read the material already. Because, like, people say they get new insights on their own journals or books or whatever. Like, anything that they've written themselves. So, yeah, from a modeling perspective, like, it's, like Reiza said earlier, like, we work with the DeepMind audio folks pretty closely. So, they're always cooking up new techniques to, like, get better, more human-like audio. And then Gemini 1.5 is really, really good at absorbing long context. So, we sort of, like, generally put those things together in a way that we could reliably produce the audio.Raiza [00:14:52]: I would add, like, there's something really nuanced, I think, about sort of the evolution of, like, the utility of text-to-speech. Where, if it's just reading an actual text response, and I've done this several times. I do it all the time with, like, reading my text messages. Or, like, sometimes I'm trying to read, like, a really dense paper, but I'm trying to do actual work. I'll have it, like, read out the screen. There is something really robotic about it that is not engaging. And it's really hard to consume content in that way. And it's never been really effective. Like, particularly for me, where I'm, like, hey, it's actually just, like, it's fine for, like, short stuff. Like, texting, but even that, it's, like, not that great. So, I think the frontier of experimentation here was really thinking about there is a transform that needs to happen in between whatever.Raiza [00:15:38]: Here's, like, my resume, right?Raiza [00:15:39]: Or here's, like, a 100-page slide deck or something. There is a transform that needs to happen that is inherently editorial. And I think this is where, like, that two-person persona, right, dialogue model, they have takes on the material that you've presented. That's where it really sort of, like, brings the content to life in a way that's, like, not robotic. And I think that's, like, where the magic is, is, like, you don't actually know what's going to happen when you press generate.Raiza [00:16:08]: You know, for better or for worse.Raiza [00:16:09]: Like, to the extent that, like, people are, like, no, I actually want it to be more predictable now. Like, I want to be able to tell them. But I think that initial, like, wow was because you didn't know, right? When you upload your resume, what's it about to say about you? And I think I've seen enough of these where I'm, like, oh, it gave you good vibes, right? Like, you knew it was going to say, like, something really cool. As we start to shape this product, I think we want to try to preserve as much of that wow as much as we can. Because I do think, like, exposing, like, all the knobs and, like, the dials, like, we've been thinking about this a lot. It's like, hey, is that, like, the actual thing?Raiza [00:16:43]: Is that the thing that people really want?Alessio [00:16:45]: Have you found differences in having one model just generate the conversation and then using text-to-speech to kind of fake two people? Or, like, are you actually using two different kind of system prompts to, like, have a conversation step-by-step? I'm always curious, like, if persona system prompts make a big difference? Or, like, you just put in one prompt and then you just let it run?Usama [00:17:05]: I guess, like, generally we use a lot of inference, as you can tell with, like, the spinning thing takes a while. So, yeah, there's definitely, like, a bunch of different things happening under the hood. We've tried both approaches and they have their, sort of, drawbacks and benefits. I think that that idea of, like, questioning, like, the two different personas, like, persists throughout, like, whatever approach we try. It's like, there's a bit of, like, imperfection in there. Like, we had to really lean into the fact that, like, to build something that's engaging, like, it needs to be somewhat human and it needs to be just not a chatbot. Like, that was sort of, like, what we need to diverge from. It's like, you know, most chatbots will just narrate the same kind of answer, like, given the same sources, for the most part, which is ridiculous. So, yeah, there's, like, experimentation there under the hood, like, with the model to, like, make sure that it's spitting out, like, different takes and different personas and different, sort of, prompting each other is, like, a good analogy, I guess.Swyx [00:18:00]: Yeah, I think Steven Johnson, I think he's on your team. I don't know what his role is. He seems like chief dreamer, writer.Raiza [00:18:08]: Yeah, I mean, I can comment on Steven. So, Steven joined, actually, in the very early days, I think before it was even a fully funded project. And I remember when he joined, I was like, Steven Johnson's going to be on my team? You know, and for folks who don't know him, Steven is a New York Times bestselling author of, like, 14 books. He has a PBS show. He's, like, incredibly smart, just, like, a true, sort of, celebrity by himself. And then he joined Google, and he was like, I want to come here, and I want to build the thing that I've always dreamed of, which is a tool to help me think. I was like, a what? Like, a tool to help you think? I was like, what do you need help with? Like, you seem to be doing great on your own. And, you know, he would describe this to me, and I would watch his flow. And aside from, like, providing a lot of inspiration, to be honest, like, when I watched Steven work, I was like, oh, nobody works like this, right? Like, this is what makes him special. Like, he is such a dedicated, like, researcher and journalist, and he's so thorough, he's so smart. And then I had this realization of, like, maybe Steven is the product. Maybe the work is to take Steven's expertise and bring it to, like, everyday people that could really benefit from this. Like, just watching him work, I was like, oh, I could definitely use, like, a mini-Steven, like, doing work for me. Like, that would make me a better PM. And then I thought very quickly about, like, the adjacent roles that could use sort of this, like, research and analysis tool. And so, aside from being, you know, chief dreamer, Steven also represents, like, a super workflow that I think all of us, like, if we had access to a tool like it, would just inherently, like, make us better.Swyx [00:19:46]: Did you make him express his thoughts while he worked, or you just silently watched him, or how does this work?Raiza [00:19:52]: Oh, now you're making me admit it. But yes, I did just silently watch him.Swyx [00:19:57]: This is a part of the PM toolkit, right? They give user interviews and all that.Raiza [00:20:00]: Yeah, I mean, I did interview him, but I noticed, like, if I interviewed him, it was different than if I just watched him. And I did the same thing with students all the time. Like, I followed a lot of students around. I watched them study. I would ask them, like, oh, how do you feel now, right?Raiza [00:20:15]: Or why did you do that? Like, what made you do that, actually?Raiza [00:20:18]: Or why are you upset about, like, this particular thing? Why are you cranky about this particular topic? And it was very similar, I think, for Steven, especially because he was describing, he was in the middle of writing a book. And he would describe, like, oh, you know, here's how I research things, and here's how I keep my notes. Oh, and here's how I do it. And it was really, he was doing this sort of, like, self-questioning, right? Like, now we talk about, like, chain of, you know, reasoning or thought, reflection.Raiza [00:20:44]: And I was like, oh, he's the OG.Raiza [00:20:46]: Like, I watched him do it in real time. I was like, that's, like, L-O-M right there. And to be able to bring sort of that expertise in a way that was, like, you know, maybe, like, costly inference-wise, but really have, like, that ability inside of a tool that was, like, for starters, free inside of NotebookLM, it was good to learn whether or not people really did find use out of it.Swyx [00:21:05]: So did he just commit to using NotebookLM for everything, or did you just model his existing workflow?Raiza [00:21:12]: Both, right?Raiza [00:21:12]: Like, in the beginning, there was no product for him to use. And so he just kept describing the thing that he wanted. And then eventually, like, we started building the thing. And then I would start watching him use it. One of the things that I love about Steven is he uses the product in ways where it kind of does it, but doesn't quite. Like, he's always using it at, like, the absolute max limit of this thing. But the way that he describes it is so full of promise, where he's like, I can see it going here. And all I have to do is sort of, like, meet him there and sort of pressure test whether or not, you know, everyday people want it. And we just have to build it.Swyx [00:21:47]: I would say OpenAI has a pretty similar person, Andrew Mason, I think his name is. It's very similar, like, just from the writing world and using it as a tool for thought to shape Chachabitty. I don't think that people who use AI tools to their limit are common. I'm looking at my NotebookLM now. I've got two sources. You have a little, like, source limit thing. And my bar is over here, you know, and it stretches across the whole thing. I'm like, did he fill it up?Raiza [00:22:09]: Yes, and he has, like, a higher limit than others, I think. He fills it up.Raiza [00:22:14]: Oh, yeah.Raiza [00:22:14]: Like, I don't think Steven even has a limit, actually.Swyx [00:22:17]: And he has Notes, Google Drive stuff, PDFs, MP3, whatever.Raiza [00:22:22]: Yes, and one of my favorite demos, he just did this recently, is he has actually PDFs of, like, handwritten Marie Curie notes. I see.Swyx [00:22:29]: So you're doing image recognition as well. Yeah, it does support it today.Raiza [00:22:32]: So if you have a PDF that's purely images, it will recognize it.Raiza [00:22:36]: But his demo is just, like, super powerful.Raiza [00:22:37]: He's like, okay, here's Marie Curie's notes. And it's like, here's how I'm using it to analyze it. And I'm using it for, like, this thing that I'm writing.Raiza [00:22:44]: And that's really compelling.Raiza [00:22:45]: It's like the everyday person doesn't think of these applications. And I think even, like, when I listen to Steven's demo, I see the gap. I see how Steven got there, but I don't see how I could without him. And so there's a lot of work still for us to build of, like, hey, how do I bring that magic down to, like, zero work? Because I look at all the steps that he had to take in order to do it, and I'm like, okay, that's product work for us, right? Like, that's just onboarding.Alessio [00:23:09]: And so from an engineering perspective, people come to you and it's like, hey, I need to use this handwritten notes from Marie Curie from hundreds of years ago. How do you think about adding support for, like, data sources and then maybe any fun stories and, like, supporting more esoteric types of inputs?Raiza [00:23:25]: So I think about the product in three ways, right? So there's the sources, the source input. There's, like, the capabilities of, like, what you could do with those sources. And then there's the third space, which is how do you output it into the world? Like, how do you put it back out there? There's a lot of really basic sources that we don't support still, right? I think there's sort of, like, the handwritten notes stuff is one, but even basic things like DocX or, like, PowerPoint, right? Like, these are the things that people, everyday people are like, hey, my professor actually gave me everything in DocX. Can you support that? And then just, like, basic stuff, like images and PDFs combined with text. Like, there's just a really long roadmap for sources that I think we just have to work on.Raiza [00:24:04]: So that's, like, a big piece of it.Raiza [00:24:05]: On the output side, and I think this is, like, one of the most interesting things that we learned really early on, is, sure, there's, like, the Q&A analysis stuff, which is like, hey, when did this thing launch? Okay, you found it in the slide deck. Here's the answer. But most of the time, the reason why people ask those questions is because they're trying to make something new. And so when, actually, when some of those early features leaked, like, a lot of the features we're experimenting with are the output types. And so you can imagine that people care a lot about the resources that they're putting into NotebookLM because they're trying to create something new. So I think equally as important as, like, the source inputs are the outputs that we're helping people to create. And really, like, you know, shortly on the roadmap, we're thinking about how do we help people use NotebookLM to distribute knowledge? And that's, like, one of the most compelling use cases is, like, shared notebooks. It's, like, a way to share knowledge. How do we help people take sources and, like, one-click new documents out of it, right? And I think that's something that people think is, like, oh, yeah, of course, right? Like, one push a document. But what does it mean to do it right? Like, to do it in your style, in your brand, right?Raiza [00:25:08]: To follow your guidelines, stuff like that.Raiza [00:25:09]: So I think there's a lot of work, like, on both sides of that equation.Raiza [00:25:13]: Interesting.Swyx [00:25:13]: Any comments on the engineering side of things?Usama [00:25:16]: So, yeah, like I said, I was mostly working on building the text to audio, which kind of lives as a separate engineering pipeline, almost, that we then put into NotebookLM. But I think there's probably tons of NotebookLM engineering war stories on dealing with sources. And so I don't work too closely with engineers directly. But I think a lot of it does come down to, like, Gemini's native understanding of images really well with the latest generation.Raiza [00:25:39]: Yeah, I think on the engineering and modeling side, I think we are a really good example of a team that's put a product out there, and we're getting a lot of feedback from the users, and we return the data to the modeling team, right? To the extent that we say, hey, actually, you know what people are uploading, but we can't really support super well?Raiza [00:25:56]: Text plus image, right?Raiza [00:25:57]: Especially to the extent that, like, NotebookLM can handle up to 50 sources, 500,000 words each. Like, you're not going to be able to jam all of that into, like, the context window. So how do we do multimodal embeddings with that? There's really, like, a lot of things that we have to solve that are almost there, but not quite there yet.Alessio [00:26:16]: On then turning it into audio, I think one of the best things is it has so many of the human... Does that happen in the text generation that then becomes audio? Or is that a part of, like, the audio model that transforms the text?Usama [00:26:27]: It's a bit of both, I would say. The audio model is definitely trying to mimic, like, certain human intonations and, like, sort of natural, like, breathing and pauses and, like, laughter and things like that. But yeah, in generating, like, the text, we also have to sort of give signals on, like, where those things maybe would make sense.Alessio [00:26:45]: And on the input side, instead of having a transcript versus having the audio, like, can you take some of the emotions out of it, too? If I'm giving, like, for example, when we did the recaps of our podcast, we can either give audio of the pod or we can give a diarized transcription of it. But, like, the transcription doesn't have some of the, you know, voice kind of, like, things.Raiza [00:27:05]: Yeah, yeah.Alessio [00:27:05]: Do you reconstruct that when people upload audio or how does that work?Raiza [00:27:09]: So when you upload audio today, we just transcribe it. So it is quite lossy in the sense that, like, we don't transcribe, like, the emotion from that as a source. But when you do upload a text file and it has a lot of, like, that annotation, I think that there is some ability for it to be reused in, like, the audio output, right? But I think it will still contextualize it in the deep dive format. So I think that's something that's, like, particularly important is, like, hey, today we only have one format.Raiza [00:27:37]: It's deep dive.Raiza [00:27:38]: It's meant to be a pretty general overview and it is pretty peppy.Raiza [00:27:42]: It's just very upbeat.Raiza [00:27:43]: It's very enthusiastic, yeah.Raiza [00:27:45]: Yeah, yeah.Raiza [00:27:45]: Even if you had, like, a sad topic, I think they would find a way to be, like, silver lining, though.Raiza [00:27:50]: Really?Raiza [00:27:51]: Yeah.Raiza [00:27:51]: We're having a good chat.Raiza [00:27:54]: Yeah, that's awesome.Swyx [00:27:54]: One of the ways, many, many, many ways that deep dive went viral is people saying, like, if you want to feel good about yourself, just drop in your LinkedIn. Any other, like, favorite use cases that you saw from people discovering things in social media?Raiza [00:28:08]: I mean, there's so many funny ones and I love the funny ones.Raiza [00:28:11]: I think because I'm always relieved when I watch them. I'm like, haha, that was funny and not scary. It's great.Raiza [00:28:17]: There was another one that was interesting, which was a startup founder putting their landing page and being like, all right, let's test whether or not, like, the value prop is coming through. And I was like, wow, that's right.Raiza [00:28:26]: That's smart.Usama [00:28:27]: Yeah.Raiza [00:28:28]: And then I saw a couple of other people following up on that, too.Raiza [00:28:32]: Yeah.Swyx [00:28:32]: I put my about page in there and, like, yeah, if there are things that I'm not comfortable with, I should remove it. You know, so that it can pick it up. Right.Usama [00:28:39]: I think that the personal hype machine was, like, a pretty viral one. I think, like, people uploaded their dreams and, like, some people, like, keep sort of dream journals and it, like, would sort of comment on those and, like, it was therapeutic. I didn't see those.Raiza [00:28:54]: Those are good. I hear from Googlers all the time, especially because we launched it internally first. And I think we launched it during the, you know, the Q3 sort of, like, check-in cycle. So all Googlers have to write notes about, like, hey, you know, what'd you do in Q3? And what Googlers were doing is they would write, you know, whatever they accomplished in Q3 and then they would create an audio overview. And these people they didn't know would just ping me and be like, wow, I feel really good, like, going into a meeting with my manager.Raiza [00:29:25]: And I was like, good, good, good, good. You really did that, right?Usama [00:29:29]: I think another cool one is just, like, any Wikipedia article. Yeah. Like, you drop it in and it's just, like, suddenly, like, the best sort of summary overview.Raiza [00:29:38]: I think that's what Karpathy did, right? Like, he has now a Spotify channel called Histories of Mysteries, which is basically, like, he just took, like, interesting stuff from Wikipedia and made audio overviews out of it.Swyx [00:29:50]: Yeah, he became a podcaster overnight.Raiza [00:29:52]: Yeah.Raiza [00:29:53]: I'm here for it. I fully support him.Raiza [00:29:55]: I'm racking up the listens for him.Swyx [00:29:58]: Honestly, it's useful even without the audio. You know, I feel like the audio does add an element to it, but I always want, you know, paired audio and text. And it's just amazing to see what people are organically discovering. I feel like it's because you laid the groundwork with NotebookLM and then you came in and added the sort of TTS portion and made it so good, so human, which is weird. Like, it's this engineering process of humans. Oh, one thing I wanted to ask. Do you have evals?Raiza [00:30:23]: Yeah.Swyx [00:30:23]: Yes.Raiza [00:30:24]: What? Potatoes for chefs.Swyx [00:30:27]: What is that? What do you mean, potatoes?Raiza [00:30:29]: Oh, sorry.Raiza [00:30:29]: Sorry. We were joking with this, like, a couple of weeks ago. We were doing, like, side-by-sides. But, like, Raiza sent me the file and it was literally called Potatoes for Chefs. And I was like, you know, my job is really serious, but you have to laugh a little bit. Like, the title of the file is, like, Potatoes for Chefs.Swyx [00:30:47]: Is it like a training document for chefs?Usama [00:30:50]: It's just a side-by-side for, like, two different kind of audio transcripts.Swyx [00:30:54]: The question is really, like, as you iterate, the typical engineering advice is you establish some kind of test or benchmark. You're at, like, 30 percent. You want to get it up to 90, right?Raiza [00:31:05]: Yeah.Swyx [00:31:05]: What does that look like for making something sound human and interesting and voice?Usama [00:31:11]: We have the sort of formal eval process as well. But I think, like, for this particular project, we maybe took a slightly different route to begin with. Like, there was a lot of just within the team listening sessions. A lot of, like, sort of, like... Dogfooding.Raiza [00:31:23]: Yeah.Usama [00:31:23]: Like, I think the bar that we tried to get to before even starting formal evals with raters and everything was much higher than I think other projects would. Like, because that's, as you said, like, the traditional advice, right? Like, get that ASAP. Like, what are you looking to improve on? Whatever benchmark it is. So there was a lot of just, like, critical listening. And I think a lot of making sure that those improvements actually could go into the model. And, like, we're happy with that human element of it. And then eventually we had to obviously distill those down into an eval set. But, like, still there's, like, the team is just, like, a very, very, like, avid user of the product at all stages.Raiza [00:32:02]: I think you just have to be really opinionated.Raiza [00:32:05]: I think that sometimes, if you are, your intuition is just sharper and you can move a lot faster on the product.Raiza [00:32:12]: Because it's like, if you hold that bar high, right?Raiza [00:32:15]: Like, if you think about, like, the iterative cycle, it's like, hey, we could take, like, six months to ship this thing. To get it to, like, mid where we were. Or we could just, like, listen to this and be like, yeah, that's not it, right? And I don't need a rater to tell me that. That's my preference, right? And collectively, like, if I have two other people listen to it, they'll probably agree. And it's just kind of this step of, like, just keep improving it to the point where you're like, okay, now I think this is really impressive. And then, like, do evals, right? And then validate that.Swyx [00:32:43]: Was the sound model done and frozen before you started doing all this? Or are you also saying, hey, we need to improve the sound model as well? Both.Usama [00:32:51]: Yeah, we were making improvements on the audio and just, like, generating the transcript as well. I think another weird thing here was, like, we needed to be entertaining. And that's much harder to quantify than some of the other benchmarks that you can make for, like, you know, Sweebench or get better at this math.Swyx [00:33:10]: Do you just have people rate one to five or, you know, or just thumbs up and down?Usama [00:33:14]: For the formal rater evals, we have sort of like a Likert scale and, like, a bunch of different dimensions there. But we had to sort of break down what makes it entertaining into, like, a bunch of different factors. But I think the team stage of that was more critical. It was like, we need to make sure that, like, what is making it fun and engaging? Like, we dialed that as far as it goes. And while we're making other changes that are necessary, like, obviously, they shouldn't make stuff up or, you know, be insensitive.Raiza [00:33:41]: Hallucinations. Safety.Swyx [00:33:42]: Other safety things.Raiza [00:33:43]: Right.Swyx [00:33:43]: Like a bunch of safety stuff.Raiza [00:33:45]: Yeah, exactly.Usama [00:33:45]: So, like, with all of that and, like, also just, you know, following sort of a coherent narrative and structure is really important. But, like, with all of this, we really had to make sure that that central tenet of being entertaining and engaging and something you actually want to listen to. It just doesn't go away, which takes, like, a lot of just active listening time because you're closest to the prompts, the model and everything.Swyx [00:34:07]: I think sometimes the difficulty is because we're dealing with non-deterministic models, sometimes you just got a bad roll of the dice and it's always on the distribution that you could get something bad. Basically, how many do you, like, do ten runs at a time? And then how do you get rid of the non-determinism?Raiza [00:34:23]: Right.Usama [00:34:23]: Yeah, that's bad luck.Raiza [00:34:25]: Yeah.Swyx [00:34:25]: Yeah.Usama [00:34:26]: I mean, there still will be, like, bad audio overviews. There's, like, a bunch of them that happens. Do you mean for, like, the raider? For raiders, right?Swyx [00:34:34]: Like, what if that one person just got, like, a really bad rating? You actually had a great prompt, you actually had a great model, great weights, whatever. And you just, you had a bad output.Usama [00:34:42]: Like, and that's okay, right?Raiza [00:34:44]: I actually think, like, the way that these are constructed, if you think about, like, the different types of controls that the user has, right? Like, what can the user do today to affect it?Usama [00:34:54]: We push a button.Raiza [00:34:55]: You just push a button.Swyx [00:34:56]: I have tried to prompt engineer by changing the title. Yeah, yeah, yeah.Raiza [00:34:59]: Changing the title, people have found out.Raiza [00:35:02]: Yeah.Raiza [00:35:02]: The title of the notebook, people have found out. You can add show notes, right? You can get them to think, like, the show has changed. Someone changed the language of the output. Changing the language of the output. Like, those are less well-tested because we focused on, like, this one aspect. So it did change the way that we sort of think about quality as well, right? So it's like, quality is on the dimensions of entertainment, of course, like, consistency, groundedness. But in general, does it follow the structure of the deep dive? And I think when we talk about, like, non-determinism, it's like, well, as long as it follows, like, the structure of the deep dive, right? It sort of inherently meets all those other qualities. And so it makes it a little bit easier for us to ship something with confidence to the extent that it's like, I know it's going to make a deep dive. It's going to make a good deep dive. Whether or not the person likes it, I don't know. But as we expand to new formats, as we open up controls, I think that's where it gets really much harder. Even with the show notes, right? Like, people don't know what they're going to get when they do that. And we see that already where it's like, this is going to be a lot harder to validate in terms of quality, where now we'll get a greater distribution. Whereas I don't think we really got, like, varied distribution because of, like, that pre-process that Raiza was talking about. And also because of the way that we'd constrain, like, what were we measuring for? Literally, just like, is it a deep dive?Swyx [00:36:18]: And you determine what a deep dive is. Yeah. Everything needs a PM. Yeah, I have, this is very similar to something I've been thinking about for AI products in general. There's always like a chief tastemaker. And for Notebook LM, it seems like it's a combination of you and Steven.Raiza [00:36:31]: Well, okay.Raiza [00:36:32]: I want to take a step back.Swyx [00:36:33]: And Raiza, I mean, presumably for the voice stuff.Raiza [00:36:35]: Raiza's like the head chef, right? Of, like, deep dive, I think. Potatoes.Raiza [00:36:40]: Of potatoes.Raiza [00:36:41]: And I say this because I think even though we are already a very opinionated team, and Steven, for sure, very opinionated, I think of the audio generations, like, Raiza was the most opinionated, right? And we all, like, would say, like, hey, I remember, like, one of the first ones he sent me.Raiza [00:36:57]: I was like, oh, I feel like they should introduce themselves. I feel like they should say a title. But then, like, we would catch things, like, maybe they shouldn't say their names.Raiza [00:37:04]: Yeah, they don't say their names.Usama [00:37:05]: That was a Steven catch, like, not give them names.Raiza [00:37:08]: So stuff like that is, like, we all injected, like, a little bit of just, like, hey, here's, like, my take on, like, how a podcast should be, right? And I think, like, if you're a person who, like, regularly listens to podcasts, there's probably some collective preference there that's generic enough that you can standardize into, like, the deep dive format. But, yeah, it's the new formats where I think, like, oh, that's the next test. Yeah.Swyx [00:37:30]: I've tried to make a clone, by the way. Of course, everyone did. Yeah. Everyone in AI was like, oh, no, this is so easy. I'll just take a TTS model. Obviously, our models are not as good as yours, but I tried to inject a consistent character backstory, like, age, identity, where they work, where they went to school, what their hobbies are. Then it just, the models try to bring it in too much.Raiza [00:37:49]: Yeah.Swyx [00:37:49]: I don't know if you tried this.Raiza [00:37:51]: Yeah.Swyx [00:37:51]: So then I'm like, okay, like, how do I define a personality? But it doesn't keep coming up every single time. Yeah.Raiza [00:37:58]: I mean, we have, like, a really, really good, like, character designer on our team.Raiza [00:38:02]: What?Swyx [00:38:03]: Like a D&D person?Raiza [00:38:05]: Just to say, like, we, just like we had to be opinionated about the format, we had to be opinionated about who are those two people talking.Raiza [00:38:11]: Okay.Raiza [00:38:12]: Right.Raiza [00:38:12]: And then to the extent that, like, you can design the format, you should be able to design the people as well.Raiza [00:38:18]: Yeah.Swyx [00:38:18]: I would love, like, a, you know, like when you play Baldur's Gate, like, you roll, you roll like 17 on Charisma and like, it's like what race they are. I don't know.Raiza [00:38:27]: I recently, actually, I was just talking about character select screens.Raiza [00:38:30]: Yeah. I was like, I love that, right.Raiza [00:38:32]: And I was like, maybe there's something to be learned there because, like, people have fallen in love with the deep dive as a, as a format, as a technology, but also as just like those two personas.Raiza [00:38:44]: Now, when you hear a deep dive and you've heard them, you're like, I know those two.Raiza [00:38:48]: Right.Raiza [00:38:48]: And people, it's so funny when I, when people are trying to find out their names, like, it's a, it's a worthy task.Raiza [00:38:54]: It's a worthy goal.Raiza [00:38:55]: I know what you're doing. But the next step here is to sort of introduce, like, is this like what people want?Raiza [00:39:00]: People want to sort of edit the personas or do they just want more of them?Swyx [00:39:04]: I'm sure you're getting a lot of opinions and they all, they all conflict with each other. Before we move on, I have to ask, because we're kind of on this topic. How do you make audio engaging? Because it's useful, not just for deep dive, but also for us as podcasters. What is, what does engaging mean? If you could break it down for us, that'd be great.Usama [00:39:22]: I mean, I can try. Like, don't, don't claim to be an expert at all.Swyx [00:39:26]: So I'll give you some, like variation in tone and speed. You know, there's this sort of writing advice where, you know, this sentence is five words. This sentence is three, that kind of advice where you, where you vary things, you have excitement, you have laughter, all that stuff. But I'd be curious how else you break down.Usama [00:39:42]: So there's the basics, like obviously structure that can't be meandering, right? Like there needs to be sort of a, an ultimate goal that the voices are trying to get to, human or artificial. I think one thing we find often is if there's just too much agreement between people, like that's not fun to listen to. So there needs to be some sort of tension and build up, you know, withholding information. For example, like as you listen to a story unfold, like you're going to learn more and more about it. And audio that maybe becomes even more important because like you actually don't have the ability to just like skim to the end of something. You're driving or something like you're going to be hooked because like there's, and that's how like, that's how a lot of podcasts work. Like maybe not interviews necessarily, but a lot of true crime, a lot of entertainment in general. There's just like a gradual unrolling of information. And that also like sort of goes back to the content transformation aspect of it. Like maybe you are going from, let's say the Wikipedia article of like one of the History of Mysteries, maybe episodes. Like the Wikipedia article is going to state out the information very differently. It's like, here's what happened would probably be in the very first paragraph. And one approach we could have done is like maybe a person's just narrating that thing. And maybe that would work for like a certain audience. Or I guess that's how I would picture like a standard history lesson to unfold. But like, because we're trying to put it in this two-person dialogue format, like there, we inject like the fact that, you know, there's, you don't give everything at first. And then you set up like differing opinions of the same topic or the same, like maybe you seize on a topic and go deeper into it and then try to bring yourself back out of it and go back to the main narrative. So that's, that's mostly from like the setting up the script perspective. And then the audio, I was saying earlier, it's trying to be as close to just human speech as possible. I think was the, what we found success with so far.Raiza [00:41:40]: Yeah. Like with interjections, right?Raiza [00:41:41]: Like I think like when you listen to two people talk, there's a lot of like, yeah, yeah, right. And then there's like a lot of like that questioning, like, oh yeah, really?Raiza [00:41:49]: What did you think?Swyx [00:41:50]: I noticed that. That's great.Raiza [00:41:52]: Totally.Usama [00:41:54]: Exactly.Swyx [00:41:55]: My question is, do you pull in speech experts to do this? Or did you just come up with it yourselves? You can be like, okay, talk to a whole bunch of fiction writers to, to make things engaging or comedy writers or whatever, stand up comedy, right? They have to make audio engaging, but audio as well. Like there's professional fields of studying where people do this for a living, but us as AI engineers are just making this up as we go.Raiza [00:42:19]: I mean, it's a great idea, but you definitely didn't.Raiza [00:42:22]: Yeah.Swyx [00:42:24]: My guess is you didn't.Raiza [00:42:25]: Yeah.Swyx [00:42:26]: There's a, there's a certain field of authority that people have. They're like, oh, like you can't do this because you don't have any experience like making engaging audio. But that's what you literally did.Raiza [00:42:35]: Right.Usama [00:42:35]: I mean, I was literally chatting with someone at Google earlier today about how some people think that like you need a linguistics person in the room for like making a good chatbot. But that's not actually true because like this person went to school for linguistics. And according to him, he's an engineer now. According to him, like most of his classmates were not actually good at language. Like they knew how to analyze language and like sort of the mathematical patterns and rhythms and language. But that doesn't necessarily mean they were going to be eloquent at like while speaking or writing. So I think, yeah, a lot of we haven't invested in specialists in audio format yet, but maybe that would.Raiza [00:43:13]: I think it's like super interesting because I think there is like a very human question of like what makes something interesting. And there's like a very deep question of like what is it, right? Like what is the quality that we are all looking for? Is it does somebody have to be funny? Does something have to be entertaining? Does something have to be straight to the point? And I think when you try to distill that, this is the interesting thing I think about our experiment, about this particular launch is first, we only launched one format. And so we sort of had to squeeze everything we believed about what an interesting thing is into one package. And as a result of it, I think we learned it's like, hey, interacting with a chatbot is sort of novel at first, but it's not interesting, right? It's like humans are what makes interacting with chatbots interesting.Raiza [00:43:59]: It's like, ha ha ha, I'm going to try to trick it. It's like, that's interesting.Raiza [00:44:02]: Spell strawberry, right?Raiza [00:44:04]: This is like the fun that like people have with it. But like that's not the LLM being interesting.Raiza [00:44:08]: That's you just like kind of giving it your own flavor. But it's like, what does it mean to sort of flip it on its head and say, no, you be interesting now, right? Like you give the chatbot the opportunity to do it. And this is not a chatbot per se. It is like just the audio. And it's like the texture, I think, that really brings it to life. And it's like the things that we've described here, which is like, okay, now I have to like lead you down a path of information about like this commercialization deck.Raiza [00:44:36]: It's like, how do you do that?Raiza [00:44:38]: To be able to successfully do it, I do think that you need experts. I think we'll engage with experts like down the road, but I think it will have to be in the context of, well, what's the next thing we're building, right? It's like, what am I trying to change here? What do I fundamentally believe needs to be improved? And I think there's still like a lot more studying that we have to do in terms of like, well, what are people actually using this for? And we're just in such early days. Like it hasn't even been a month. Two, three weeks.Usama [00:45:05]: Three weeks.Raiza [00:45:06]: Yeah, yeah.Usama [00:45:07]: I think one other element to that is the fact that you're bringing your own sources to it. Like it's your stuff. Like, you know this somewhat well, or you care to know about this. So like that, I think, changed the equation on its head as well. It's like your sources and someone's telling you about it. So like you care about how that dynamic is, but you just care for it to be good enough to be entertaining. Because ultimately they're talking about your mortgage deed or whatever.Swyx [00:45:33]: So it's interesting just from the topic itself. Even taking out all the agreements and the hiding of the slow reveal. I mean, there's a baseline, maybe.Usama [00:45:42]: Like if it was like too drab. Like if someone was reading it off, like, you know, that's like the absolute worst.Raiza [00:45:46]: But like...Swyx [00:45:47]: Do you prompt for humor? That's a tough one, right?Raiza [00:45:51]: I think it's more of a generic way to bring humor out if possible. I think humor is actually one of the hardest things. Yeah.Raiza [00:46:00]: But I don't know if you saw...Raiza [00:46:00]: That is AGI.Swyx [00:46:01]: Humor is AGI.Raiza [00:46:02]: Yeah, but did you see the chicken one?Raiza [00:46:03]: No.Raiza [00:46:04]: Okay. If you haven't heard it... We'll splice it in here.Swyx [00:46:06]: Okay.Raiza [00:46:07]: Yeah.Raiza [00:46:07]: There is a video on Threads. I think it was by Martino Wong. And it's a PDF.Raiza [00:46:16]: Welcome to your deep dive for today. Oh, yeah. Get ready for a fun one. Buckle up. Because we are diving into... Chicken, chicken, chicken. Chicken, chicken. You got that right. By Doug Zonker. Now. And yes, you heard that title correctly. Titles. Our listener today submitted this paper. Yeah, they're going to need our help. And I can totally see why. Absolutely. It's dense. It's baffling. It's a lot. And it's packed with more chicken than a KFC buffet. What? That's hilarious.Raiza [00:46:48]: That's so funny. So it's like stuff like that, that's like truly delightful, truly surprising.Raiza [00:46:53]: But it's like we didn't tell it to be funny.Usama [00:46:55]: Humor is contextual also. Like super contextual is what we're realizing. So we're not prompting for humor, but we're prompting for maybe a lot of other things that are bringing out that humor.Alessio [00:47:04]: I think the thing about ad-generated content, if we look at YouTube, like we do videos on YouTube and it's like, you know, a lot of people like screaming in the thumbnails to get clicks. There's like everybody, there's kind of like a meta of like what you need to do to get clicks. But I think in your product, there's no actual creator on the other side investing the time. So you can actually generate a type of content that is maybe not universally appealing, you know, at a much, yeah, exactly. I think that's the most interesting thing. It's like, well, is there a way for like, take Mr.Raiza [00:47:36]: Beast, right?Alessio [00:47:36]: It's like Mr. Beast optimizes videos to reach the biggest audience and like the most clicks. But what if every video could be kind of like regenerated to be closer to your taste, you know, when you watch it?Raiza [00:47:48]: I think that's kind of the promise of AI that I think we are just like touching on, which is, I think every time I've gotten information from somebody, they have delivered it to me in their preferred method, right?Raiza [00:47:59]: Like if somebody gives me a PDF, it's a PDF.Raiza [00:48:01]: Somebody gives me a hundred slide deck, that is the format in which I'm going to read it. But I think we are now living in the era where transformations are really possible, which is, look, like I don't want to read your hundred slide deck, but I'll listen to a 16 minute audio overview on the drive home. And that, that I think is, is really novel. And that is, is paving the way in a way that like maybe we wanted, but didn'tRaiza [00:48:24]: expect.Raiza [00:48:25]: Where I also think you're listening to a lot of content that normally wouldn't have had content made about it. Like I watched this TikTok where this woman uploaded her diary from 2004.Raiza [00:48:36]: For sure, right?Raiza [00:48:36]: Like nobody was goin

NotebookLM from Google Labs has become the breakout viral AI product of the year. The feature that catapulted it to viral fame is Audio Overview, which generates eerily realistic two-host podcast audio from any input you upload—written doc, audio or video file, or even a PDF. But to describe NotebookLM as a “podcast generator” is to vastly undersell it. The real magic of the product is in offering multi-modal dimensions to explore your own content in new ways—with context that's surprisingly additive. 200-page training manuals become synthesized into digestible chapters, turned into a 10-minute podcast—or both—and shared with the sales team, just to cite one example. Raiza Martin and Jason Speilman join us to discuss how the magic happens, and what's next for source-grounded AI. Hosted by: Sonya Huang and Pat Grady, Sequoia Capital

Raiza Martin is a senior product manager for AI at Google Labs, where she leads the team behind NotebookLM, an AI-powered research tool that includes a delightful podcast-on-demand feature called “Audio Overviews.” NotebookLM started as a 20% project and has grown into a product that's spreading across social media and has a Discord server with over 60,000 users. Raiza previously worked on AI Test Kitchen and has a background in startups, payments, and ads. In our conversation, we discuss:• The origin story of NotebookLM• The future road map for NotebookLM• How Google Labs operates differently from the rest of Google• The development of the “Audio Overviews” feature• Key metrics and growth of NotebookLM• Stories about collaborating with author Steven Johnson• Navigating potential misuse of AI technology—Brought to you by:• Explo — Embed customer-facing analytics in your product• Sprig⁠⁠ — Build products for people, not data points• Sidebar — Accelerate your career by surrounding yourself with extraordinary peers—Find the transcript and show notes at: https://www.lennysnewsletter.com/p/googles-notebooklm-raiza-martin—Where to find Raiza Martin:• X: https://x.com/raiza_abubakar• LinkedIn: https://www.linkedin.com/in/whatsaraiza/—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 NotebookLM(05:43) The genesis of NotebookLM(08:08) Innovative features and use cases(18:52) Building a startup culture within Google(24:28) Expanding user demographics(27:30) The product roadmap(32:18) Other use cases(36:11) Collaborating with Steven Johnson(42:49) Ensuring ethical AI(46:06) Future directions and user engagement—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. Get full access to Lenny's Newsletter at www.lennysnewsletter.com/subscribe

This week, Casey reports back from a wild day at Meta Connect, discussing what's new with Meta's efforts in artificial intelligence, virtual reality headsets and the Holy Grail — augmented reality glasses. Then, Steven Johnson, a writer and editorial director at Google Labs, stops by to talk about the company's new hit NotebookLM, which uses A.I. to turn even boring PDFs, such as user manuals and Kevin's bank records, into chatty, disturbingly good podcasts. Finally, so much happened in tech news this week that we reached for the bucket hat in the latest installment of HatGPT! Guest:Steven Johnson, author and editorial director, NotebookLM Additional Reading: Meta Unveils New Smart Glasses and Headsets in Pursuit of the MetaverseA.I. Is Mastering Language. Should We Trust What It Says?OpenAI Executives Exit as C.E.O. Works to Make the Company For-Profit We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok.

March 14th, 2023 was the day ThursdAI was born, it was also the day OpenAI released GPT-4, and I jumped into a Twitter space and started chaotically reacting together with other folks about what a new release of a paradigm shifting model from OpenAI means, what are the details, the new capabilities. Today, it happened again! Hey, it's Alex, I'm back from my mini vacation (pic after the signature) and boy am I glad I decided to not miss September 12th! The long rumored

In this episode, I fly solo to discuss Google Vids. Google Vids is an addition to Google Workspace via Google Labs. It is a tool that allows users to create videos effortlessly through the use of Google's AI LLM, Google Gemini. I go through how to create a video, the editing process, and ideas for educators to implement this as a time saver. If you'd like to see it in action, click on the YouTube video below for a video tutorial. If your organization doesn't have Google Labs turned on, you might want to talk to your district Google Admin to see about getting this AI video creator turned on. Buen provecho! Google Vids Tutorial On YouTube: https://www.youtube.com/watch?v=aGkZZ3cR0eg Connect With Gabriel Carrillo EdTech Bites Website: https://edtechbites.com EdTech Bites Twitter: https://twitter.com/edtechbites EdTech Bites Instagram: https://instagram.com/edtechbites EdTech Bites Threads: https://www.threads.net/@edtechbites EdTech Bites Facebook Page: https://facebook.com/edtechbites EdTech Bites YouTube Channel: https://www.youtube.com/@edtechbites My Book Is Officially Out! My first book “Cooking Up Experiences In The Classroom: Focus On Experiences, Not Just Lessons” is officially out! A HUGE shout out to Lumio for helping sponsor this book. I'm super excited about this project. It's filled with ideas on how to make memorable experiences for your students. In addition, each chapter also lays out a specific recipe mentioned in that chapter along with a video tutorial on how to prepare that dish. Make sure you get your copy and cook up some experiences for your students and loved ones! Click Here To Purchase Your Copy On Amazon

Steven Johnson on NotebookLM: Revolutionizing Writing and ResearchSteven Johnson, author of 14 books on the history of science and technology, discusses Google's new writing and research tool, NotebookLM. He elaborates on how walking influences creativity, the importance of play in innovation, and shares insights into using AI for augmenting thought and memory. The conversation covers his role in co-creating NotebookLM with Google Labs, the importance of uploading sources for effective use, and the potential of AI to enhance both authorship and readership. Johnson also touches on potential future developments, such as recommending additional sources and addressing privacy concerns. The dialogue highlights the revolutionary potential of AI-driven tools in research and content creation.00:00 Introduction to Steven Johnson00:20 The Role of Walking in Creativity02:27 The Importance of Play and Uselessness04:35 Notebook LM: A New Research Tool07:02 The Genesis of Notebook LM09:29 Building and Innovating at Google Labs12:48 Using Notebook LM for Writing and Research22:24 Exploring New Book Ideas with Notebook LM25:27 Exploring AI's Role in Research25:56 Future of AI in Recommending Sources26:44 Tone and Style in AI Writing29:20 Privacy and Copyright Concerns30:26 AI's Impact on Writing and Creativity36:05 New Forms of Reading and Books40:29 Practical Tips for Using NotebookLM44:34 Reflections on the Future of Authorship For more prompts, tips, and AI tools. Check out our website: https://www.beyondtheprompt.ai/ or follow Jeremy or Henrik on Linkedin:Henrik: https://www.linkedin.com/in/werdelinJeremy: https://www.linkedin.com/in/jeremyutley Show producer: Natja Rosner (nat@dreamingincolors.com)

Trond Wuellner, direttore dei prodotti a Google Labs, ci parlerà della sua carriera, del futuro della creatività e dell'uso dell'AI per creare esperienze più divertenti. Vedremo insieme le differenze tra lavorare su software e hardware e condividerà la sua esperienza nel costruire Google Wi-Fi. Trond sottolinearà l'importanza dell'empatia come skill fondamentale per un Product Manager e avverte del rischio di concentrarsi troppo sui test A/B senza considerare l'empatia per gli utenti. É molto importante per lui impostare obiettivi significativi ed essere flessibili nel modificarli se necessario. Infine, discute del ruolo dell'IA nel product management e dell'importanza di imparare a utilizzare gli strumenti AI per migliorare il lavoro e comunicare efficacemente con gli utenti.Nello specifico parleremo di: 00:00 Intro 00:54 Sigla 03:45 La carriera di Trond Wuellner a Google e il suo ruolo attuale 06:06 Il futuro della creatività e l'uso dell'IA per esperienze più divertenti 08:45 La connessione sociale nella musica e nel cinema personalizzati 16:50 Le differenze tra lavorare su software e hardware 25:00 Migliorare la performance del Wi-Fi 27:00 L'empatia come skill fondamentale 28:42 L'IA nel product management 31:55 Comunicare efficacemente l'uso dell'IA 35:00 Le sfide in Google Labs 40:00 Il futuro del Product Management

Google annonce une grande évolution de ChromeOS en intégrant massivement des technologies Android Découvrez comment cette fusion va accélérer l'innovation en IA, simplifier l'ingénierie et améliorer la compatibilité des appareils Google. Exemples concrets et impacts pour les utilisateurs expliqués en détail. Ensuite, plongez dans la présentation de NotebookLM, l'assistant virtuel révolutionnaire de Google Labs. Apprenez comment cet outil utilise l'IA pour résumer des documents, générer de nouvelles idées et analyser des informations complexes. Découvrez ses nouvelles fonctionnalités et des cas d'usage concrets pour les étudiants, journalistes, créateurs de contenu et professionnels. Rejoignez-nous pour explorer ces innovations et partagez vos idées dans les commentaires ! 00:04:30 ChromeOS et Android, le mariage de l'année ! Et ils vont avoir un bébé ! 00:30:52 NotebookLM, ou comment devenir un expert dans n'importe quel domaine grâce à l'IA de Google 00:57:20 Nos coups de cœurs Soutenez-nous sur Patreon

Hey everyone! We are back from spring break with a super fun episode! Have you heard about the amazing new playground from Google called Google Labs? It's a real treasure trove of cool, interactive experiments that will spark your students' imagination and encourage them to think outside the box.On this week's episode, we give an overview of the Google Experiments replacement, and explore ImageFX, Instrument Playground, and DJ ModeFX! LABS.GOOGLEFind all of the tools we've discussed in the EdTech Directory: https://smartinwi.com/edtech-directory/ Get in touch: https://smartinwi.comhttps://www.twitter.com/smartinwihttps://www.threads.net/@smartinwihttps://www.facebook.com/smartinwitechtoolsforteacherpodcast@gmail.com©2018-2023 Snoring Dog Media, LLC. All rights reserved. This podcast uses the following third-party services for analysis: Podcorn - https://podcorn.com/privacyChartable - https://chartable.com/privacyPodtrac - https://analytics.podtrac.com/privacy-policy-gdrp

با آرش از کار در توی ‌گوگل ‌لبز حرف زدیمIn this episode, I chat with Arash Sadr from Google Labs. We'll be exploring the exciting world of how humans and AI work together, getting the scoop on the latest in AI, what's coming next, and Arash's thoughts on how technology and people are teaming up in amazing ways. حامیان این قسمت | Sponsors خدمات رایانش ابری - لیاراhttps://liara.ir------فروشگاه اینترنتی شاواز | خرید لوازم آرایشی، بهداشتی، عطرhttps://shavaz.comفرصت‌های شغلی فعال در شاواز | Shavazhttps://bit.ly/shavaz16-----Arash Sadr | آرش صدرLinkedin https://www.linkedin.com/in/arashsadrTabaghe 16----------Castbox https://castbox.fm/channel/id3083907Spotify https://spoti.fi/2CiyRoHTwitter https://twitter.com/soh3ilInstagram https://www.instagram.com/tabaghe16/Everywhere else https://linktr.ee/tabaghe16#پادکست #طبقه۱۶ Hosted on Acast. See acast.com/privacy for more information.

Cette semaine on reçoit Vincent Nallatamby, Product chez Google Labs à San Francisco. Après avoir revendu sa première entreprise à la firme américaine, il finit par rejoindre l'entité en charge du lancement de nouveaux produits Google dont la majorité s'appuient sur l'intelligence artificielle.En parallèle, Vincent est Business angel et investit à travers son syndicat Eigen, mais aussi Mozza Angels, dans des startups IA pour l'essentiel.Dans cet épisode, il nous raconte le fonctionnement de Google Labs et nous fait part de ses apprentissages dans un écosystème qui va à toute vitesse, et de sa vision sur l'impact qu'aura l'IA générative dans la conception des produits tech de demain.Ce qu'il faut en retenir :Les profils idéaux pour des startups dont l'innovation s'appuie sur l'IA ne sont pas nécessairement des doctorants en IA, mais plutôt des ingénieurs capables de relier l'ingénierie de produit à l'IA, avec une mentalité axée sur le produit, le prototypage et l'implémentation.L'IA et la création d'agents ne sont pas aussi complexes qu'on pourrait le croire. La tendance actuelle à complexifier les LLMs et les agents peut parfois masquer leur simplicité sous-jacente, ce qui souligne l'importance de plonger dans le code pour mieux comprendre.Il est crucial de ne pas précipiter la consolidation des infrastructures ou des plateformes dans le domaine de l'IA. Tant que les produits ne sont pas suffisamment matures, investir dans des couches d'infrastructure peut être prématuré et contre-productif.La vélocité et la capacité à mettre rapidement un produit entre les mains des utilisateurs sont essentielles pour les entreprises qui veulent lancer tous types de produits, y compris ceux qui s'appuient sur la Gen AI.L'importance du mindset technologique par rapport à la technologie elle-même est mise en évidence par des exemples tels que Dolly, où la différenciation ne réside pas tant dans la technologie utilisée que dans la façon dont elle est exploitée et adaptée à l'évolution rapide de l'écosystème.À l'ère de la Gen AI, la valeur du logiciel en tant que barrière à l'entrée diminue considérablement. Les entreprises doivent se concentrer sur d'autres aspects pour se différencier, comme l'excellence opérationnelle et la propriété intellectuelle.Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

with @stevenbjohnson @cdixon @rhhackettWelcome to the web3 with a16z crypto podcast. Today's episode features a conversation between Steven Johnson, a prolific author of books about technology and innovation who is also, as editorial director at Google Labs, helping to develop AI writing tools such as NotebookLM, and Chris Dixon, founding partner of a16z crypto and author of the new book Read Write Own: Building the Next Era of the Internet. The two discuss the history of their shared interests, they explore the emergent properties of decentralized networks, and they dig into the past, present, and future of the internet.Resources for references in this episode:Author page for Steven JohnsonGoogle Labs's personalized AI writing tool NotebookLM"Beyond the Bitcoin Bubble" by Steven Johnson (New York Times Magazine, January 2018)How We Got To Now: Six Innovations That Made the Modern World by Steven Johnson (Riverhead Books: 2015)Enemy of All Mankind: A True Story of Piracy, Power, And History's First Global Manhunt by Steven Johnson (Riverhead Books: 2021)Emergence: The Connected Lives of Ants, Brains, Cities, and Software by Steven Johnson (Sribner: 2002)Chris Dixon's blog at cdixon.orgThe Death and Life of Great American Cities by Jane Jacobs (Random House: 1961)The Power Broker: Robert Moses and the Fall of New York by Robert Caro (Vintage: 1975)The Cluetrain Manifesto: The End of Business as Usual (Basic Books: 2000)"A Declaration of the Independence of Cyberspace" by John Perry Barlow"1000 True Fans" by Kevin KellyIndex, a History of the: A Bookish Adventure from Medieval Manuscripts to the Digital Age by Dennis Duncan (W.W. Norton: 2022)ReadWriteWeb blog (ca. 2003)"Airbnb Proposes Giving Hosts a Stake in the Company" by Aisha Al-Muslim and Maureen Farrell (Wall Street Journal, September 2018)"Lyft Unlikely to Get SEC Pushback on Plan for Two Share Classes" by Nabila Ahmed and Ben Bain (Bloomberg, March 2019)"OpenAI Says New York Times Lawsuit Against It Is Without Merit" by Cade Metz (New York Times, January 2024)

SGE in Timeout When will SGE actually come to life on the SERP? It seems the answer is not any time soon, as Google is letting Microsoft and others take the lead in creating a generative experience while SGE remains in the workshop. Keep your eyes peeled; Google announces a plan to restart the official SEO starter guide in the near future. Meta continues its AI push. What's next? Plus, the great Barry Schwartz hints at the next confirmed Google search ranking algorithm coming soon. Stay fresh with all the latest SEO awesomeness every week. Join us on this episode of News from the EDGE! News from the EDGE: [00:01:04] Free Ticket to BrightonSEO: us.brightonseo.com/freetickets [00:06:15] SGE is still stuck in Google Labs - will it escape? [00:12:37] WordPress security issue affecting over 1 million sites [00:16:26] EDGE of the Web Sponsor: Site Strategics  [00:18:04] A big update is coming for Google's SEO Starter Guide AI Blitz: [00:23:46] EDGE of the Web Sponsor: Hostinger [00:25:07] Meta expands automated audience targeting options in latest AI push [00:26:58] ChatGPT vs. Google Bard vs. Bing Chat vs. Claude: Which generative AI solution is best? AI Tools: [00:28:45] Jellypod - Transform your inbox into a personalized daily podcast. [00:33:56] EDGE of the Web Sponsor: InLinks Barry Blast from Search Engine Roundtable: [00:37:04] Some advertisers are unable to access Google Ads [00:36:12] Report: Custom Google Business Profile Services Impact Rankings Too [00:37:51] Storm Coming: Next Confirmed Google Search Ranking Algorithm Coming Soon? Thanks to our sponsors! Site Strategics https://edgeofthewebradio.com/site     Inlinks https://edgeofthewebradio.com/inlinks Follow Us: Twitter: @ErinSparks Twitter: @MordyOberstein Twitter: @TheMann00 Twitter: @EDGEWebRadio #StandwithUkraine edgeofthewebradio.com/ukraine

בית משפט אחד בקנדה, בתיק ספציפי, עם נסיבות ספציפיות החליט שאמוג'י לייק מהווה חתימה על חוזה ספציפי בהקשר ספציפי הבנתם מה עשינו כאן? זה ההפך מקליקביט שאומר שופט: לייק הוא חתימה על חוזה. זו ההכרעה של השופט. במהשך פרטים עיקריים מעניינים בלבד, יען כי זה דיני חוזים בקנדה וזה ארוך, ואנחנו פה בשביל להגיד זהירות לפני שאתם עושים לייק, ולא זהירות לפני שאתם נכנסים לעסקה באמצעות הסכמה וקיבול. בקצרה ובתכלס: חברה לסחר בדגנים תבעה חקלאי בטענה שהתחייב במרץ 2021 לספק תוך שמונה חודשים 87 טונות (מטריים) פשתן. הוא קיבל חוזה מצולם בהודעה לטלפון ושלח בחזרה אמוג'י לייק, ובסוף לא עמד בהתחייבות שלו ולא שלח. את התבואה. המחיר שנכתב בחוזה הוא בבושלים (יחידת מידה לסחורות יבשות). בשפה שאנשים שאינם חקלאים מבינים מדובר ב-669.26 דולר (קנדי) לטונה (טון זה בצליל, טונה זה במשקל - כל יום לומדים משהו חדש). במועד המשלוח המיועד המחיר קפץ ל-1,614.09 דולר לטונה. הפיצוי שנקבע הוא ההפרק בין המחירים כפול 87 טונות, שזה מה שחברת החסר היייתה אמורה להרוויח - 82,200.21 דולר (אנחנו עדיין בקנדי - זה קצת פחות מאמריקאי). ועכשיו לאמוג'י. זה לא שצד אחד סתם כתב "רוצה למכור לי פשתן ב-17 דולר לבושל, כי שנינו יודעים מה זה בושל ולא מודדים דברים בטון. כי טון זה בכלל גובה של צליל?" והצד שני שלח "

This week… OpenAI lays out safety measures for dealing with Artificial Super Intelligence, Google's Deepmind solved a previously impossible math problem & then we made Guy Fieri cartoons with Domo's AI animation software. These are all of equal importance!  Plus, Gavin dove into Digi.AI a new AI “companion” app, ChatGPT turned a Chevy dealership's chatbot into a hilarious nightmare & Google Labs has some incredibly cool new music tools you can play with right now. AND THEN… It's an A4H Interview with Twitch Steamer & Podcaster Gina Darling whom Kevin got to know well at G4. We talk about AI companionship, get AI to help her buy gifts for her boyfriends parents and introduce her to AI Gina Darling (surprise!) Oh and don't forget our AI co-host this week, we're actually visited by AI Santa Claus and his lil head elf Max. Santa tells us about how they're using AI to automate the North Pole but, unfortunately, he forgot to tell Max and the rest of the elves.  It's an endless cavalcade of ridiculous and informative AI news, AI tools, and AI entertainment cooked up just for you. Follow us for more AI discussions, AI news updates, and AI tool reviews on X @AIForHumansShow Join our vibrant community on TikTok @aiforhumansshow For more info, visit our website at https://www.aiforhumans.show/ /// Show links /// New Prepared-ness Team at OpenAI https://openai.com/safety/preparedness Google Deepmind Does New Math https://www.technologyreview.com/2023/12/14/1085318/google-deepmind-large-language-model-solve-unsolvable-math-problem-cap-set/ Finals Dev Talks AI https://www.gamedeveloper.com/audio/embark-studios-ai-let-devs-do-more-with-less-when-making-the-finals GPT-4.5? Nah https://twitter.com/AiBreakfast/status/1736392167906574634?s=20 https://x.com/rowancheung/status/1736616840510533830?s=20 Sentient Chevy Bot https://twitter.com/ChrisJBakke/status/1736533308849443121 https://www.autoevolution.com/news/chatgpt-powered-customer-support-at-chevrolet-dealership-hilariously-recommended-tesla-226253.html Google Labs Music FX https://aitestkitchen.withgoogle.com/tools/music-fx Domo AI Discord https://discord.com/invite/domoai Digi.AI AI Companion App https://digi.ai/ Gina Darling @GinaDarlingChannel https://www.twitch.tv/missginadarling The Spill It Podcast: https://www.youtube.com/@ShowBobas  

This Week in Startups is brought to you by… DevSquad. Most dev agencies only offer developers. Why? Because product management is hard. Get an entire product team for the cost of one US developer plus 10% off at http://devsquad.com/twist. LinkedIn Marketing. To redeem a $100 LinkedIn ad credit and launch your first campaign, go to linkedin.com/thisweekinstartups Fitbod. Tired of doing the same workouts at the gym? Fitbod will build you personalized workouts that help you progress with every set. Get 25% off your subscription or try out the app for FREE when you sign up now at fitbod.me/TWIST. * Today's show: Steven Berlin Johnson joins Jason to demo Google's NotebookLM, a new AI-powered research assistant he helped create at Google Labs. They dive into Steven's journey to Google Labs (1:28), NotebookLM's unique features (14:09), rights of authors in the digital age (40:22), and more! * Timestamps: (0:00) Author Steven Berlin Johnson joins Jason (1:28) Early experiences with the internet and Google's Project Starline (8:01) DevSquad - Get an entire product team for the cost of one US developer plus 10% off at http://devsquad.com/twist (9:00) The significance of document organization, the concept and features of "sources" in NotebookLM, and the impact on writing (14:09) Steven demos Google NotebookLM (28:06) LinkedIn Marketing - Get a $100 LinkedIn ad credit at https://linkedin.com/thisweekinstartups (29:36) Steven's NotebookLM demo continued (33:47) Jason showcases how he utilizes NotebookLM for TWiST's Business Breakdowns segment (38:56) Fitbod - Get 25% off at https://fitbod.me/twist (40:22) The rights of authors in the digital age (52:01) Superintelligence and the trajectory of language models * Links: https://stevenberlinjohnson.com/writing-at-the-speed-of-thought-21dfb7f689e4https://stevenberlinjohnson.com/good-ideas-the-four-minute-version-7e7856e69621https://www.wired.com/story/googles-notebooklm-ai-ultimate-writing-assistant/ * Follow Steven: https://twitter.com/stevenbjohnson Check out Steven's website: https://stevenberlinjohnson.com/ Check out Steven's podcast: https://podcasts.apple.com/us/podcast/american-innovations/id1370092284 • Follow Jason: X: https://twitter.com/jason Instagram: https://www.instagram.com/jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis * Great 2023 interviews: Steve Huffman, Brian Chesky, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland * Check out Jason's suite of newsletters: https://substack.com/@calacanis * Follow TWiST: Substack: https://twistartups.substack.com Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin * Subscribe to the Founder University Podcast: https://www.founder.university/podcast

硅谷大公司有钱，有资源，有人才，但是为什么做不好区块链项目？ 在这期《Web3 101》的精彩讨论中，我们邀请来几位曾经在Meta和Google工作的嘉宾，聊聊他们亲身经历和看到的“大厂”区块链项目困局，深入讨论了大型科技公司在区块链领域的“创新者窘境”。 团队一半的人没用过区块链产品，技术大牛技术精湛但却对区块链心存怀疑，True beliver纷纷出走，大型科技公司在区块链领域的“创新者窘境”，导致他们比创业团队跑得更慢；技术的难以整合、内部合规与外部监管的紧密盯梢、以及如何无法在保持现有商业模式的同时拥抱区块链带来的创新和变革，是他们的巨大资源和历史包袱带来的诅咒。 但是，身在巨大科技中心的他们，也比旁观者先行看到了AI和区块链结合的趋势，看到了数据所有权和中心化审核机制的矛盾，看到了区块链领域的黄埔军校们对行业的人才和技术贡献。 就让这些曾经的大厂区块链项目贡献者，到现在的创业者，来告诉你为什么“区块链的机会都在大厂外”。 【主播】 VIcky，资深媒体人 【嘉宾】 • Dong Shu：前 Meta 员工，此前在Meta 区块链项目负责Instagram NFT身份鉴权和安全，现区块链领域创业中 • Victor Zainan Zou：前 Google 员工，此前在Google Labs 负责智能合约设计，现为D3Serve Labs CEO，以太坊核心开发者 • Shundan：前 Google 员工，此前在Google Labs 负责一个底层infra项目，现区块链领域创业中 【你将听到】 00:42 三位嘉宾介绍：他们曾在Meta和Google负责火热一时的区块链项目 大厂创新者窘境之人才挑战：技术先行，还是信仰先行？ 05:09 大厂找人做区块链：技术强就行，用过区块链的人还不到一半 07:57 领导层缺乏亲身使用区块链产品的经历，团队理解区块链逻辑也面临挑战 09:07 自上而下分派人才的方式导致True believer太少，优秀人才也容易流失到更火的项目中 12:44 回顾Meta的Libra项目，David Marcus走了，大家的心也散了 14:23 真正的区块链信仰者，最后纷纷选择自己出来创业 创新者窘境之监管挑战：太多人盯着，项目做了却发不出来 15:48 因监管环境和公司内部挑战，大厂的区块链产品都面临“做出来、却发不了”的尴尬境地 19:53 大厂包袱之重：Meta项目内部隐私审查的时间远大于开发时间 22:18 在GDPR的“被遗忘权”背景下，区块链的不可擦除性成为大厂合规的一大风险挑战 25:00 Instagram NFT项目被取消：发布风险大于收益，只能整体改方向 创新者窘境之商业挑战：赚不了钱的区块链项目，在动荡期被丢车保帅 26:08 科技行业大震荡，没有清晰商业前景的区块链项目从香馍馍变成了烫手山芋 30:51 区块链性能瓶颈，也承载不了大厂们十亿级的用户规模和流量 32:58 中心化的大公司，不想丢掉中心化的商业护城河 创新者窘境之技术挑战：技术大牛密度极高，但是也爱重复造轮子 36:34大厂的技术路线选择：是嫁接现有技术框架，还是从零开始？应用层的区块链项目可能需要使用公司内部技术，而底层项目则更倾向于开源。 38:27 大公司的决策会影响行业：Google尝试避免特定链的接触，Instagram链上启动项目都得保密 41:16 大厂是人才库蓄水池，为行业贡献了太多技术人才 我们在大厂看到的新趋势 42:00 中心化内容审核的挑战，个人数据所有权的冲突，区块链可能可以提供解决方案。 46:27 区块链和 AI 手牵手往前走，会有一个去中心化的新世界 48:20 大家离开了大厂，现在都在做什么项目 51:08 再聊聊区块链和AI的结合，AI 的尽头是区块链 56:56 大厂对行业的贡献：成为了区块链领域的“黄埔军校” 59:38 “正规军”有“正规军”的难处：经历大厂，我们对于创业更有信心 【背景介绍】 Meta（前身为Facebook）在区块链领域的尝试主要包括其雄心勃勃的Libra（后改名为Diem）项目和数字货币钱包Novi。Libra/Diem被设想为一种全球数字货币，以促进在线交易，但面临监管障碍，最终被出售给Silvergate Capital。此外，Meta还在探索将NFT和区块链技术整合到其社交媒体平台，如Instagram和Facebook，并参与更广泛的“元宇宙”概念，这是一个基于区块链技术，设想未来的互联、沉浸式虚拟环境的概念。 Google在区块链领域的尝试涵盖了多个方面，包括其云计算部门对区块链和Web3技术的探索，以及对区块链初创公司的投资。Google Ventures，谷歌的投资部门，成为了Blockchain.com的投资者之一，该公司提供比特币钱包服务和区块链资源查询工具。此外，Google Cloud最近扩展了对区块链项目的支持，邀请区块链项目和开发者使用其云服务，以促进区块链生态系统的发展。Google也开发了多项基于区块链技术的底层和中间层产品，但是最终都没有公开发布。 【后期】 AMEI 【BGM】 Mumbai — Ooyy 【Shownotes】 Vicky 【在这里找到我们】 收听渠道：苹果｜小宇宙 海外用户：Apple Podcast｜Spotify｜Google Podcast｜Amazon Music 联系我们：podcast@sv101.net

A.I. Holiday Gifts - In the height of the holiday season, last minute gifts are flying off the shelves. Sometimes it's hard to find that perfect gift for a loved one, that's where AI comes in. Innovative technology including Google Labs, Chat GPT and other bots are helping shoppers to craft ideal gifts for the holiday. Washington Correspondent Arielle Hixson breaks down the new shopping trend and how it could change customer service as we know it for the future.

Noticias Marketing: Cookies en Chrome, Instagram y Facebook de pago y filtraciones de datosMuy buenas y bienvenido al podcast “Noticias Marketing”, soy Borja Girón y cada lunes te traigo y analizo las noticias que más pueden impactar en tu negocio para generar más ingresos. Si eres emprendedor es el momento de hacer crecer tu negocio y dejar de estar solo o sola. Únete a la Comunidad Emprendedores Triunfers desde: https://borjagiron.com/comunidad y podrás acceder a las sesiones de Mastermind cada lunes conmigo y el resto de emprendedores, al podcast secreto, a los retos y las categorías con todo lo necesario para hacer crecer tu negocio.Hoy es lunes 4 de septiembre de 2023, ¿Estás preparado? ¿Estás preparada? ¡Comenzamos!- Aparecerán el número de compartidos y comentarios en Instagram. Lo habían quitado sin sentido.-Activan colaboraciones con hasta 4 personas-Podrían lanzar una versión de Instagram y Facebook sin anuncios de pago-Saldrá un Clon de Instagram Stories creado por Google-Google parece que va a lanzar seguros para empresas-La app de notas Keep de Google ya tiene más formatos para el texto-Google Chrome usará la inteligencia artificial para resumir páginas web y artículos largos. Para poder utilizar esta funcionalidad, habrá que inscribirse en el proyecto a través de Google Labs. De momento en USA y en inglés.-Aparece la Gestión de Cookies en Google Chrome (Podremos quitar el aviso de Cookies pronto?). Escucha mi podcast “SEO para Google” -Google lanza la guía básica de la IA: https://atozofai.withgoogle.com/intl/es/-Twitter (X) usará tu contenido para entrenar modelos de inteligencia artificial, te guste o noLa red social modificó su política de privacidad para habilitar este uso de la data que recopila. Elon Musk aclaró que no se utilizarán datos privados, como los mensajes directos.-X (Twitter) necesita ingresos: la red social de Elon Musk levanta el veto a la publicidad y los anuncios políticos-TikTok introduce nuevos anuncios y contenidos patrocinados en los resultados de búsqueda para potenciar el descubrimiento de Marcas-YouTube aceptará subir el feed RSS de tu podcast a final de año-Los podcast escuchan ya más que la radio en Estados Unidos -Cada descarga procedente del sitio web, la aplicación para móviles o el widget de Spreaker supondrá un aumento del 10 % en tus ingresos por publicidad.-Canva cierra su programa de afiliados. Lo tenían en Impact.com-Microsoft Teams ya no será incluido en Office en Europa-6 de septiembre estrenoLa Sirenita – Película en Disney +-Se estrena en HBO Telemarketing', la serie documental que desvela la historia de la estafa-Tesla presenta el nuevo Model 3 Highland: un salto importante en autonomía, un interior renovado y más-La exposición constante a la publicidad de alimentos no saludables aumenta el deseo y el consumo de estos productos en los niños-Filtran los datos de más de 2,6 millones de usuarios de Duolingo-Hinge premium: el Tinder para ricos que costará más de 600 dólares-Cuidado porque cuando aceptas 'cookies' o los 'términos y condiciones' de una web estás aceptando también recibir llamadas de spam que deberían estar prohibidas sin tu aceptación.-La nueva Ley de Servicios Digitales ya entró en vigorLa normativa obliga a los gigantes tecnológicos a poner coto a contenidos ilegales y a la desinformación-OpenAI lanza ChatGPT Enterprise, un plan para empresas que garantiza privacidad-Meta ha lanzado SeamlessM4T, un programa de traducción que promete cambiar las reglas del juego en el ámbito de la traducción automática.-Amazon ha dado un paso significativo en su estrategia de inteligencia artificial al adquirir Fig, una startup centrada en optimizar la interfaz de línea de comandos (CLI). Este movimiento podría tener un impacto significativo en la experiencia del desarrollador y en el campo de la IA generativa.-Evento Apple el 12 de septiembre para presentar el nuevo iPhone https://www.apple.com/es/apple-events/-Euro digital. Está sobre la mesa un límite de 3.000 euros, lo que establecería el euro digital como un complemento del efectivo, pero no como un instrumento para mantener activos líquidos sustanciales (no sería una alternativa de inversión o ahorro). Por lo menos en un inicio.-La humanidad estuvo al borde de la extinción con solo 1.200 individuos vivosArtículo interesante: La gran decepción de las tecnológicas: Google, Amazon y Meta están empeorando sus productos estrella... a propósitohttps://www.businessinsider.es/empresas-tecnologicas-estan-arruinando-apps-webs-internet-1221330Ver todos los canales de TDT nacionales e internacionales sin instalar nada: https://photocall.tv/Has escuchado las noticias que más pueden impactar en tu negocio y que te ayudarán a tener más ingresos.Si quieres seguir escuchando estos episodios comparte el podcast, dale a me gusta, deja 5 estrellas o comenta el episodio.Recibe en tu email cada día mis consejos, historias y aprendizajes para emprender con éxito. Entra en https://borjagiron.com y únete.Soy Borja Girón, has escuchado el podcast Noticias Marketing, nos escuchamos en el próximo episodio.Conviértete en un seguidor de este podcast: https://www.spreaker.com/podcast/noticias-marketing--5762806/support.

En el episodio 2.5 os hablamos de humor tech, de nuevos usos de IA como Cloudinary AI, OverflowAI, la IA de Google Labs en Gmail, de pólemicas con Zoom, Brave, Elon Musk eliminando la opción de bloquear, el NO hackeo de Discord, de Python en Excel, del rediseño de Slack, del nuevo CodeSandbox por Google: Project IDX, de Anchor Positioning, de Jam.dev, de Ideogram, entre otras muchas cosas

Lo que está cambiando el podcasting y el marketing digital:-Por primera vez, el consumo de audio bajo demanda supera al audio ‘lineal' en Estados Unidos.-Lanzan una nueva plataforma de gestión de anuncios de pódcast.-¿Por qué la mitad de los pódcast más escuchados en Colombia son de salud mental?-Aseguran que Google Labs prepara el clon de Instagram Stories para los resultados de búsqueda.-Meta Threads lucha por ganar terreno.Pódcast recomendadoLa Ciencia Pop. Un espacio en el que el científico chileno Gabriel León, conversa sobre todo tipo de temas centrados en la ciencia.Patrocinado por Hindenburg. El Software que usamos para editar nuestro pódcast: https://hindenburg.com/products/ y Rss.com (compañía de alojamiento de pódcast) https://dashboard.rss.com/es/auth/sign-up/

The two hottest topics in tech right now are the rise of generative AI and, with Apple's recent push into spatial computing, the mainstreaming of augmented reality. Will silicon-based machines develop sentience? Will human experience extend into virtual worlds? These distinct technologies may eventually blend to spawn a surprising future, as our “real” world becomes digitally enhanced and our machines behave increasingly like humans. Today, a provocative discussion with some big (human) thinkers: Steven Johnson, visiting scholar at Google Labs and author of ”Extra Life,” “Where Good Ideas Come from,” and “How We Got to Now”; philosopher and cognitive scientist David Chalmers, author of ”The Conscious Mind” and “Reality+;” and Betaworks founder and AI investor John Borthwick. • Want to learn more about our executive membership? Email podcast@nextbigideaclub.com • “David Chalmers Thinks We May Be Living in a Simulation (and He's OK With It)” • “Steven Johnson & Michael Specter on the Future of Life”

Everything announced at I/O Google I/O Keynote Google Search in Google Labs and Project Tailwinds What Really Made Geoffrey Hinton Into an AI Doomer What Really Made Geoffrey Hinton Into an AI Doomer Impressed by Google I/O Annoucements? Acapela AI New Pixel Hardware Google Fold watch party ad The Pixel Fold is Google's $1,800 entry into folding phones Wendy's, Google Train Next-Generation Order Taker: an AI Chatbot Google "We Have No Moat, And Neither Does OpenAI" UFO Hunters Built an Open-Source AI System To Scan The Skies Spotify ejects thousands of AI-made songs in purge of fake streams Your Kids Want Their Roblox Videogame Avatars to Look Hip. Aspiring Fashion Designers Are on the Case DEF CON to set thousands of hackers loose on LLMs Fortnite is now an Olympic esport Judge Dismisses F.T.C. Lawsuit Against Kochava, a Location Data Broker Microsoft Inks Deal to Use Fusion Energy by 2028 Google AMP: how Google tried to fix the web by taking it over Jeff thread on Verge Google AMP story Earth Could Soon Be More Detectable by Aliens, Study Says Is this the TWiG Blob? Humane shows off its concept (real or not) for a wearable AI-powered agent Why are Americans smuggling Fruit Roll-Ups into Israel? Blame TikTok. Picks: Stacey: Happy Mother's Day Jeff: Nirit's 7 ways AI coverage fails Ant: The TGU For EVERYONE To Try Ant: Thank You National Preps For Being Real Ant: Jacob Pruitt On The Rise Ant: Jacob Pruitt - Champion and New School Record   Hosts: Leo Laporte, Jeff Jarvis, Stacey Higginbotham, and Ant Pruitt Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: Melissa.com/twit

Everything announced at I/O Google I/O Keynote Google Search in Google Labs and Project Tailwinds What Really Made Geoffrey Hinton Into an AI Doomer Impressed by Google I/O Annoucements? Acapela AI New Pixel Hardware Google Fold watch party ad The Pixel Fold is Google's $1,800 entry into folding phones Wendy's, Google Train Next-Generation Order Taker: an AI Chatbot Google "We Have No Moat, And Neither Does OpenAI" UFO Hunters Built an Open-Source AI System To Scan The Skies Spotify ejects thousands of AI-made songs in purge of fake streams Your Kids Want Their Roblox Videogame Avatars to Look Hip. Aspiring Fashion Designers Are on the Case DEF CON to set thousands of hackers loose on LLMs Fortnite is now an Olympic esport Judge Dismisses F.T.C. Lawsuit Against Kochava, a Location Data Broker Microsoft Inks Deal to Use Fusion Energy by 2028 Google AMP: how Google tried to fix the web by taking it over Jeff thread on Verge Google AMP story Earth Could Soon Be More Detectable by Aliens, Study Says Is this the TWiG Blob? Humane shows off its concept (real or not) for a wearable AI-powered agent Why are Americans smuggling Fruit Roll-Ups into Israel? Blame TikTok. Picks: Stacey: Happy Mother's Day Jeff: Nirit's 7 ways AI coverage fails Ant: The TGU For EVERYONE To Try Ant: Thank You National Preps For Being Real Ant: Jacob Pruitt On The Rise Ant: Jacob Pruitt - Champion and New School Record   Hosts: Leo Laporte, Jeff Jarvis, Stacey Higginbotham, and Ant Pruitt Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: Melissa.com/twit

Everything announced at I/O Google I/O Keynote Google Search in Google Labs and Project Tailwinds What Really Made Geoffrey Hinton Into an AI Doomer What Really Made Geoffrey Hinton Into an AI Doomer Impressed by Google I/O Annoucements? Acapela AI New Pixel Hardware Google Fold watch party ad The Pixel Fold is Google's $1,800 entry into folding phones Wendy's, Google Train Next-Generation Order Taker: an AI Chatbot Google "We Have No Moat, And Neither Does OpenAI" UFO Hunters Built an Open-Source AI System To Scan The Skies Spotify ejects thousands of AI-made songs in purge of fake streams Your Kids Want Their Roblox Videogame Avatars to Look Hip. Aspiring Fashion Designers Are on the Case DEF CON to set thousands of hackers loose on LLMs Fortnite is now an Olympic esport Judge Dismisses F.T.C. Lawsuit Against Kochava, a Location Data Broker Microsoft Inks Deal to Use Fusion Energy by 2028 Google AMP: how Google tried to fix the web by taking it over Jeff thread on Verge Google AMP story Earth Could Soon Be More Detectable by Aliens, Study Says Is this the TWiG Blob? Humane shows off its concept (real or not) for a wearable AI-powered agent Why are Americans smuggling Fruit Roll-Ups into Israel? Blame TikTok. Picks: Stacey: Happy Mother's Day Jeff: Nirit's 7 ways AI coverage fails Ant: The TGU For EVERYONE To Try Ant: Thank You National Preps For Being Real Ant: Jacob Pruitt On The Rise Ant: Jacob Pruitt - Champion and New School Record   Hosts: Leo Laporte, Jeff Jarvis, Stacey Higginbotham, and Ant Pruitt Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: Melissa.com/twit

Everything announced at I/O Google I/O Keynote Google Search in Google Labs and Project Tailwinds What Really Made Geoffrey Hinton Into an AI Doomer What Really Made Geoffrey Hinton Into an AI Doomer Impressed by Google I/O Annoucements? Acapela AI New Pixel Hardware Google Fold watch party ad The Pixel Fold is Google's $1,800 entry into folding phones Wendy's, Google Train Next-Generation Order Taker: an AI Chatbot Google "We Have No Moat, And Neither Does OpenAI" UFO Hunters Built an Open-Source AI System To Scan The Skies Spotify ejects thousands of AI-made songs in purge of fake streams Your Kids Want Their Roblox Videogame Avatars to Look Hip. Aspiring Fashion Designers Are on the Case DEF CON to set thousands of hackers loose on LLMs Fortnite is now an Olympic esport Judge Dismisses F.T.C. Lawsuit Against Kochava, a Location Data Broker Microsoft Inks Deal to Use Fusion Energy by 2028 Google AMP: how Google tried to fix the web by taking it over Jeff thread on Verge Google AMP story Earth Could Soon Be More Detectable by Aliens, Study Says Is this the TWiG Blob? Humane shows off its concept (real or not) for a wearable AI-powered agent Why are Americans smuggling Fruit Roll-Ups into Israel? Blame TikTok. Picks: Stacey: Happy Mother's Day Jeff: Nirit's 7 ways AI coverage fails Ant: The TGU For EVERYONE To Try Ant: Thank You National Preps For Being Real Ant: Jacob Pruitt On The Rise Ant: Jacob Pruitt - Champion and New School Record   Hosts: Leo Laporte, Jeff Jarvis, Stacey Higginbotham, and Ant Pruitt Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: Melissa.com/twit

Everything announced at I/O Google I/O Keynote Google Search in Google Labs and Project Tailwinds What Really Made Geoffrey Hinton Into an AI Doomer Impressed by Google I/O Annoucements? Acapela AI New Pixel Hardware Google Fold watch party ad The Pixel Fold is Google's $1,800 entry into folding phones Wendy's, Google Train Next-Generation Order Taker: an AI Chatbot Google "We Have No Moat, And Neither Does OpenAI" UFO Hunters Built an Open-Source AI System To Scan The Skies Spotify ejects thousands of AI-made songs in purge of fake streams Your Kids Want Their Roblox Videogame Avatars to Look Hip. Aspiring Fashion Designers Are on the Case DEF CON to set thousands of hackers loose on LLMs Fortnite is now an Olympic esport Judge Dismisses F.T.C. Lawsuit Against Kochava, a Location Data Broker Microsoft Inks Deal to Use Fusion Energy by 2028 Google AMP: how Google tried to fix the web by taking it over Jeff thread on Verge Google AMP story Earth Could Soon Be More Detectable by Aliens, Study Says Is this the TWiG Blob? Humane shows off its concept (real or not) for a wearable AI-powered agent Why are Americans smuggling Fruit Roll-Ups into Israel? Blame TikTok. Picks: Stacey: Happy Mother's Day Jeff: Nirit's 7 ways AI coverage fails Ant: The TGU For EVERYONE To Try Ant: Thank You National Preps For Being Real Ant: Jacob Pruitt On The Rise Ant: Jacob Pruitt - Champion and New School Record   Hosts: Leo Laporte, Jeff Jarvis, Stacey Higginbotham, and Ant Pruitt Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: Melissa.com/twit

Everything announced at I/O Google I/O Keynote Google Search in Google Labs and Project Tailwinds What Really Made Geoffrey Hinton Into an AI Doomer Impressed by Google I/O Annoucements? Acapela AI New Pixel Hardware Google Fold watch party ad The Pixel Fold is Google's $1,800 entry into folding phones Wendy's, Google Train Next-Generation Order Taker: an AI Chatbot Google "We Have No Moat, And Neither Does OpenAI" UFO Hunters Built an Open-Source AI System To Scan The Skies Spotify ejects thousands of AI-made songs in purge of fake streams Your Kids Want Their Roblox Videogame Avatars to Look Hip. Aspiring Fashion Designers Are on the Case DEF CON to set thousands of hackers loose on LLMs Fortnite is now an Olympic esport Judge Dismisses F.T.C. Lawsuit Against Kochava, a Location Data Broker Microsoft Inks Deal to Use Fusion Energy by 2028 Google AMP: how Google tried to fix the web by taking it over Jeff thread on Verge Google AMP story Earth Could Soon Be More Detectable by Aliens, Study Says Is this the TWiG Blob? Humane shows off its concept (real or not) for a wearable AI-powered agent Why are Americans smuggling Fruit Roll-Ups into Israel? Blame TikTok. Picks: Stacey: Happy Mother's Day Jeff: Nirit's 7 ways AI coverage fails Ant: The TGU For EVERYONE To Try Ant: Thank You National Preps For Being Real Ant: Jacob Pruitt On The Rise Ant: Jacob Pruitt - Champion and New School Record   Hosts: Leo Laporte, Jeff Jarvis, Stacey Higginbotham, and Ant Pruitt Download or subscribe to this show at https://twit.tv/shows/this-week-in-google. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsor: Melissa.com/twit

Clemmie talks about comparison this week, with Lucy Sheridan, who is the world's first and only Comparison Coach™. Through her book ‘The Comparison Cure', private practice and workshops, Lucy has helped thousands of people go from compare and despair, to #comparisonfree. Accredited by the Association for the Psychological Therapies, named as one of the New Wellbeing Specialists by Style Mag and praised as one of the UK's most successful coaches by The Times, Lucy's work has been featured in global outlets such as Psychology Today, BBC, Forbes and Google Labs. And she loves wearing white in winter! You can find Lucy on Instagram @LucySheridan on Instagram and check out her work at The Comparison Free Club · Lucy Sheridan. Check out Clemmie on Instagram @Clemmie_Telford, and find more podcast content @butwhy_podcast. Learn more about your ad choices. Visit megaphone.fm/adchoices

Microsoft took the fight to its competitors in the consumer space when it added the OpenAI's GPT engine into its search engine Bing, and its Edge browser and now everyone is in love with a moody chat bot… What a time to be alive. But this isn't Microsoft's first rodeo or even its first billion dollar investment into OpenAI. First, the company was founded by a consortium that included Elon Musk and Amazon Web Services. Then it built out those awesome game bots that owned Dota champs, and took a little bit of tech from Google's machine learning operations and built out a language transformer model. The GPT stands for generative pre-trained transformer, and the Transformer part was developed by Google Labs. On a basic level a language transformer predicts the next word in a sentence after training itself on a data set. GPT-3 is trained on 175 billion parameters and uses its transformer machine learning abilities to take that next word guessing and apply it to other things, like generating code from a natural language text query. Microsoft invested its first billion into OpenAI in 2020, it exclusively licensed the GPT model and set about deploying AI at scale on Azure. And then it baked it into its client-facing products as an easy way for non-coder employees to begin creating automations and little apps to make their work easier. Microsoft calls this platform Power, erm, Platform. And Azure customers using this AI infused cloud power are generating an average of 4.5 billion words a day for hundreds of apps in production use across multiple sectors. When Microsoft South Africa gave me the opportunity to sit in on a roundtable discussion with Vahé Torossian, Corporate Vice President for Business Applications, at the end of last year, I jumped at the chance, but sat on this audio until there was a major shift in the AI landscape. Vahé has since announced that he'll be leaving Microsoft this year, but I'm am very happy that I got to nerd out with him about the transformative moment we're in right now with AI, before it was cool. There's a symbiosis that can exist between people and automation, but the path towards human and AI cooperation is unclear right now. Full disclosure: I love Microsoft services and my Microsoft 365 account is something I cherish that has helped me a ton in work and in my personal life. I'm happy that the company is taking the lead in the next technology arms race and will be watching closely as more startups take advantage of these new abilities. But that's a story for another day. Unencrypted is powered by Addvirtt, the only sports advertising company on the continent that can put your brand on the virtual advertising boards on the worlds biggest sports fields. Visit addvirtt.com to take your brand out of the frame, and into the action. --- Send in a voice message: https://podcasters.spotify.com/pod/show/unencrypted/message

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We're hitting episode 74 on the pod with an amazing guest on a topic I know most, if not all, female entrepreneurs have experienced at some stage of their journey. I'm talking about that sneaky feeling of comparison that can crop up when we least expect it as we see others living their best lives (and their best businesses!) online. But never fear because I have the best expert on comparison IN THE WORLD on the podcast today and I'm very excited for her to get stuck into how to help you stop those feelings of comparison to others. Lucy Sheridan is the world's first and only Comparison Coach™ who, through her private practice, course and membership has helped thousands of people go from 'compare and despair', to #comparisonfree. Lucy has been accredited by the Association for Psychological Therapies, named as one of the New Wellbeing Specialists by The Sunday Times Style and praised as one of the UK's most successful coaches by The Times. Her work has been featured in global outlets such as the BBC's Claudia Winkleman Show, Psychology Today, Forbes and Google Labs. We discussed ways to manage your comparison triggers and how to stay in your own lane in life and business including: - Lucy's own definition of comparison - Why women constantly measure and compare themselves against others - Lucy's top tips to manage ourselves when comparison rears its ugly head - How Lucy helps women define their version of success to help manage those comparison triggers - What Soul Goals are and the best way to set those goals - Lucy's advice on the benefits of getting intimate with your Comparison Condition - The impact being on social media has had on our comparison condition - The impact of the 'tyranny of positivity' and how that feeds into feelings of comparison This podcast with Lucy was a joy to host and if you want to know more about Lucy's work, you'll find her on the 'Gram @lucysheridan Check out this weeks podcast on Apple Podcasts at https://apple.co/3BnHeJL (feel free to leave a 5 star review to help other business women find the podcast!) and follow on Spotify at https://spoti.fi/3lnibgH

Mail bültenimize abone olmak için tıklayın. 5 Dakikada Teknoloji Gündemi Tarih: 25 Ocak 2022 Nirvana'nın hiç görülmemiş fotoğrafları NFT olarak satışa sunulacak. Tesla, tüm modelleri ile Türkiye'ye geliyor. Google Labs, blockchain departmanı kurdu. Uber Türkiye, 2021 yılına dair verilerini paylaştı. Podcast Boş İşler'de Önceki Bölümlerimiz

In this episode: Google Labs is launching a new blockchain division – report Expect lithium shortages to further impact technology shortages as demand grows Calculate how much it'll cost to take your house off-grid with this solar cost tool Tech Byte airs daily from Monday to Friday. For the latest tech news, be sure to follow Stuff on Twitter, Facebook and Instagram or head on over to our website.

Stai ascoltando un estratto gratuito di Ninja PRO, la selezione quotidiana di notizie per i professionisti del digital business. Con Ninja PRO puoi avere ogni giorno marketing insight, social media update, tech news, business events e una selezione di articoli di approfondimento dagli esperti della Redazione Ninja. Vai su www.ninja.it/ninjapro per abbonarti al servizio.Professionisti della Cybersicurezza in Italia. Dall'hacker etico all'analista di scenari, sono queste alcune delle figure richieste oggi dalle aziende italiane, secondo il Rapporto Clusit in collaborazione con Experis – ManpowerGroup, sul mercato del lavoro nel settore della cyber security. Per far fronte alla carenza di talenti in questo settore le aziende oggi si affidano sempre di più a cacciatori di teste con un aumento delle richieste di profili tecnici a discapito dei profili manageriali. Anche Google scommette sul metaverso. L'idea di Facebook ha contagiato a ruota le altre Big Tech, ce hanno accelerato o rivisto i loro piani in merito all'uso delle tecnologia VR e AR. Tra queste anche Alphabet, che ha riorganizzato i suoi team interni già a lavoro sui diversi progetti in una unit dedicata e più ampia, chiamata Google Labs. Sebbene non si abbiano indicazioni precise circa le attività che impegneranno il team dei Labs, la società ha anciticpato che analizzerà le tendenze tecnologiche emergenti su una serie di progetti ad alto potenziale e a lungo termine. Inarrestabile TikTok. Un nuovo report di AppAnnie suggerisce che la piattaforma per la creazione e la condivisione di video supererà 1,5 miliardi di utenti nel 2022. Questo la metterebbe ben al di sopra di Instagram, che rimane su un miliardo di attivi, un numero che ha riportato per la prima volta nel 2018 e non ha più aggiornato.

In der ersten regulären Folge erkläre ich was für diesen Podcast geplant ist. Außerdem gibt es drei News-Themen: Wer arbeitet bereits heute schon am Netaverse? Google Labs ist wieder da! Und sind NFTs in Games Quatsch? Außerdem spreche ich mit Johannes Brauckmann über Metaverse Science Fiction.

Spotify acquires Findaway as a further push into audiobooks, Singles Day sets a sales record even as sales growth slows, and Google reorganizes its incubators and VR projects under Google Labs. MP3 Please SUBSCRIBE HERE. You can get an ad-free feed of Daily Tech Headlines for $3 a month here. A special thanks to allContinue reading "Spotify Acquires Findaway – DTH"

This independent shop with clients including Google (Chromebook, Assistant, Pixel, Photos, Pay, etc) ESPN, NBC and others, is a studio-style creative company that's delivering at speed, something that generally scares other agencies.

Scientific papers, studies, patents, and any knowledge shared about Search Engine. Optimization is interesting. However, there are different types of sources, more or less reliable. For example, I don't value a Ranking Factors Study by an SEO like a publication from Stanford University or Google Labs. There is no doubt about the value of Bill Slawski's work on his blog https://www.seobythesea.com/ or the treasures inside https://research.google/pubs/ There is tons of doubt when it comes to the SEO who analyzed a million URLs and found the secret of how to rank #1 on Google.  The same goes for SEO, which tells you how to increase your traffic by 257% in less than 30 days.  The problem is elsewhere. It's about how YOU use this data, how you absorb this knowledge? How are you able to sort out the BS from the legit information? These studies, patents, or scientific papers will make you a better Search Engine Optimizer if you use them right. When you know how to take in the information and use it effectively in your work, it's like magic. Suddenly, you got it. You know how and what to feed Google.  When I started in 2004, we didn't have anything to figure out how to get results. We figured it out along the way by sharing what worked and didn't. It might be hard to imagine the Internet without this abundance of knowledge. There is too much. Since SEO didn't exist before, you couldn't find a resource that will help you understand. You had to grab breadcrumbs where you could and assemble the puzzle on your own. Nowadays, there is so much information about SEO that it's complicated to know the good stuff from the useless crap. SEO Conspiracy was born from this fact. I wanted to sort out the mess, sharing my truth about Google, Search Engine Optimization and Digital Marketing in general. --- The program of the SEO Conspiracy Podcast is the following:   Monday ➡ SEO Myth-busting with my exclusive co-host, the one and only Dixon Jones;    Tuesday ➡ Your fix of Alternative SEO News. I'm reviewing every important news about the Search/Digital Marketing industry from the week before;   Wednesday ➡ SEO Stories. With or without a guest, I will take the time to dissects Search Engine Optimization and Digital Marketing topics;   Thursday ➡ this day is reserved to talk about Semantic SEO and my strategy called the Topical Mesh. In a series of 52 videos, I lay out the complete plan. This is the most advanced free SEO tutorial in the World;   Friday ➡ Q&A. I have tons of questions in stock, asked by my students and clients.  To start off the series, I will dig into this pool of SEO and Digital  Marketing related questions. To continue the series, please contact me (contact info in the about page on the Youtube channel) or via social medias (links below). Ask me any questions. My answer will be 100% BS Free Guaranteed or your money back (just kidding, I'm giving out everything for free);   Week-ends ➡ and/or sometimes during the week, live sessions will take place. Among other ideas, I will be performing live SEO audits.   I want to help you achieve better results; I don't want to hold back anything.  I've always been known to lay it all out like it is.   There is way too much BS talk in the SEO industry. Let's cut throughout the noise to have a real conversation.   Thank you very much for watching Laurent Bourrelly https://www.seoconspiracy.com/   ----------- Laurent's Stuff : https://www.topicalmesh.com/ https://www.frenchtouchseo.com/ https://rank4win.com/ https://twitter.com/laurentbourelly   ----------- Dixon's Stuff:  https://dixonjones.com/ https://majestic.com/ https://inlinks.net/   ----------- SEO Conspiracy Social Media  : - Facebook: https://www.facebook.com/seoconspiracy/ - Instagram: https://www.instagram.com/seoconspiracy/ - Twitter: https://twitter.com/seoconspiracy   #SEO #Google #DigitalMarketing

Show Notes Chris is the owner of a company called Prime 3 Software Chris describes himself as a Reluctant Entrepreneur. I found this article about the phenomenon. https://bit.ly/2naaUII/ I also found this book, The Reluctant Entrepreneur: Turning Dreams into Profits Chris mentioned his prior employers labeling people as resources and found the idea abhorrent. I found this interesting article about when people are referred to as resources and what to do about it: https://bit.ly/2lap5gq We discuss quality, budget and schedule – three legged stool. Chris is referring to the The Project Management Triangle is also known as the Triple Constraint, Iron Triangle and Project Triangle. See here: https://bit.ly/2l5aoLp It is true! Chesapeake, Virginia is the third most boring city in America. The shipping industry is very old as we discuss. There is a quick aside that “What do you do?” is a terrible first question. For more read this: https://www.theminimalists.com/do/ Chris mentions that he is reading E-Myth Mastery:The Seven Essential Disciplines for Building a World Class Company. Chris talks about his friend Garrett and his company Green Umbrella Software. We talk about taking the leap to starting your own business. I found this interesting article about it: https://www.entrepreneur.com/article/296704 I also think of Pamela Slim’s book Escape from Cubicle Nation on this topic, as well as numerous content from the prolific Gary Vaynerchuk including: https://bit.ly/2lJ9moD Chris is married to author Jessica Ruddick, a successful novelist. The idea of teaching children about entrepreneurship is fascinating. Makes me think about expanding the A-HA Dinner Series (the dinner series of Corporate Thought Events) into a teen program…more to come on this in the future. In the meanwhile, I found this: https://lemonadeday.org We discussed the question of morning vs. evening workouts. Chris seems to do both. As Chris points out, Google disbanded its Google Labs project. MVP – Minimum Viable Product. The Phoenix Project– a favorite book of Chris that he gifts to people, Next on his reading list is Atomic Habits. Chris listens to Joe Rogan’s podcast and to Naval Ravikant who has Chris thinking about his personal hourly rate among other things

Panel: Mark Ericksen Josh Adams Special Guest: Pete Corey In this episode of Elixir Mix, the panel talks with Pete Corey who is a software developer who resides in Denver, CO (USA). He uses Node, React, and Elixir and currently is working on two big projects. Listen to today’s episode to hear the panelists and Pete talk about Elixir, Node, Bitcoin, and Gen_TCP. Check it out! Show Topics: 0:00 – Advertisement: Get A Coder Job!  0:50 – Mark: Welcome! Our panel is Josh Adams and our guest is Pete Corey! Pete, can you tell people about yourself? 1:12 – Guest: I am a software developer and I run a web development consultancy company. I use Node and React, and I use Elixir in my free time, and I blog about that and various projects. 1:38 – Mark: How did you get into Elixir? 1:40 – Guest: Node has its limitations. I found myself not understanding concurrency at all. I saw Elixir and I came around to it when it was around its 1.0 era. I have been hooked ever since. 2:43 – Josh asks a question. 3:00 – Guest. 3:42 – Josh: Yeah it felt like I was putting a s 4:03 – Mark: Letting the mantra of letting it fail or let it crash. How do I recover? You are mentioning about your Node situation that you have these complex situations and how do I get back to a good running state. That’s what I like about Elixir. I’m more concerned: how do I get back to a good running state. It’s a mental shift and I really appreciate it. Instead of worrying about this half, I am focusing more on how do I use it to make it run smoothly? 5:20 – Guest: I totally agree. Learning Elixir has really flipped my mind about developing. I know failure happens – figure it how it fails and then anticipating HOW they might fail to make things easier. In terms of bigger projects... The guest talks about the BIG project he is working on now! Listen here! 7:40 – Panel: That sounds cool! Are you building this by yourself or with other people? 7:54 – Guest: It’s a solo project and I want to keep it that way. I was into Bitcoin before and I bought Mastering Bitcoin. Started working through that – how to go through private keys and things like that. 8:40 – Panel: I think that it’s great that you are SHARING through the process. I think that’s awesome and you are showing what you are learning and the pitfalls and the gains. 9:11 – Guest: It’s been a learning process with pattern matching. 10:20 – Panel. 10:30 – Guest talks about bytes. 10:59 – Panel: One of the first things I did in Elixir was... 11:27 – Guest: ...moving bytes around and moving integers and things like that. Elixir is much nicer! 11:40 – Panel: Can you talk about Gen TCP, please? 11:55 – Guest: A goal of my project tis to dig into the underlining Erlang properties. I think it’s a shame that people don’t explore this. The guest talks about what Gen TCP is! 13:38 – Panel: I like using Gen TCP. 13:54 – Guest: Every problem that I had boiled down to my lack of knowledge. 14:29 – Panel: What do you mean: it worked out better? 14:35 – Guest: My Gen TCP connection would pass to the...the issue is that Gen TCP is a streaming protocol. It might contain multiple packets or 1½ packets, etc. Every time I received some data I would impend it to a buffer and I would look for head eliminators. After that would be the packet length and I would split that number of bytes from the original buffer. That’s hard to explain, but... The guest talks about a solution!! 16:21 – Panel: I think there are a few great points there. One, Erlang has a lot of rich history. What are available through Erlang already? Join the Elixir Slack Channel! 17:34 – Panel: Sounds like you are using property testing? I think that’s cool – I want to spend more time digging into this! What is it? 18:00 – Guest: It is pretty cool and new to me. The guest talks about unit testing and then property testing. 20:20 – Panel: What kind of experience have you had? 20:40 – Fresh Books! 21:48 – Guest: The one place where I am using property testing is... 23:41 – Panel: That’s awesome. I want to get into it more. 23:50 – Guest: Once I get going it falls together pretty easily. It’s hard to come up with the properties that I want to test. 24:11 – Guest: It’s far more eye opening than unit testing. When you have to think about these fundamental properties you see in a different light. 24:33 – Panel: I am dropping in a link to your blog articles that you tagged. Is there anything else you want to say about your project? 24:55 – Guest: It’s an ongoing project. I haven’t actually implemented the meat of the project, yet. Please stay tuned! 25:25 – Panel: Is it your website: petecorey.com? 25:35 – Guest: Yes www.petecorey/blog.com and my newsletter! 25:47 – Panel. 25:55 – Guest asks a question. 26:05 – Panel. 26:12 – Panel: What else to talk about? 26:40 – Guest: There is another project to talk about and it’s about guitar chords and things like that; if you want? 26:57 – Panel: Yeah, generating music with Elixir is simple. I know you did the distance between chords thing? What else is super cool about it? 27:27 – Guest: It programmatically generates these guitar chords. The coolest piece is the algorithm all of guitar fingers for a guitar chord and fret this fret, etc. Then I can take the chord with a specific fingering and measure the distance. 28:30 – Panel: Have you seen Google Wave Net? It’s fairly recent. 28:39 – Guest: Is it related to Google Labs? 28:47 – Panel: I doubt it. 29:18 – Guest: Very cool, but I don’t have the AI chops. 29:26 – Panel. 29:29 – Guest: Yeah it works my brain a bit. 29:40 – Guest: Yeah I play too much guitar. I had enough money to buy my own guitar and amp. 29:54 – Panel: Talk about the chord charts. I was looking for the word: tablature!  END – Ad: Lootcrate.com Links: Ruby Elixir Elm Atom.io Flutter.io JavaScript Visual Studio Code React Bitcoin Gen_TCP Stream Data Bitcoin YECC LEEX Music Rustler ElixirWeekly Jsonnet Ksonnet Pete Corey’s Blog Pete Corey’s Twitter Secure Meteor Grafonnet-lib Prometheus-operator The Sparrow Sponsors: Loot Crate Get a Coder Job! Fresh Books Cache Fly Picks: Josh JSonnet KSonnet Grafonnet Prometheus Operator Mark HSTR Pete The Sarrow

Panel: Mark Ericksen Josh Adams Special Guest: Pete Corey In this episode of Elixir Mix, the panel talks with Pete Corey who is a software developer who resides in Denver, CO (USA). He uses Node, React, and Elixir and currently is working on two big projects. Listen to today’s episode to hear the panelists and Pete talk about Elixir, Node, Bitcoin, and Gen_TCP. Check it out! Show Topics: 0:00 – Advertisement: Get A Coder Job!  0:50 – Mark: Welcome! Our panel is Josh Adams and our guest is Pete Corey! Pete, can you tell people about yourself? 1:12 – Guest: I am a software developer and I run a web development consultancy company. I use Node and React, and I use Elixir in my free time, and I blog about that and various projects. 1:38 – Mark: How did you get into Elixir? 1:40 – Guest: Node has its limitations. I found myself not understanding concurrency at all. I saw Elixir and I came around to it when it was around its 1.0 era. I have been hooked ever since. 2:43 – Josh asks a question. 3:00 – Guest. 3:42 – Josh: Yeah it felt like I was putting a s 4:03 – Mark: Letting the mantra of letting it fail or let it crash. How do I recover? You are mentioning about your Node situation that you have these complex situations and how do I get back to a good running state. That’s what I like about Elixir. I’m more concerned: how do I get back to a good running state. It’s a mental shift and I really appreciate it. Instead of worrying about this half, I am focusing more on how do I use it to make it run smoothly? 5:20 – Guest: I totally agree. Learning Elixir has really flipped my mind about developing. I know failure happens – figure it how it fails and then anticipating HOW they might fail to make things easier. In terms of bigger projects... The guest talks about the BIG project he is working on now! Listen here! 7:40 – Panel: That sounds cool! Are you building this by yourself or with other people? 7:54 – Guest: It’s a solo project and I want to keep it that way. I was into Bitcoin before and I bought Mastering Bitcoin. Started working through that – how to go through private keys and things like that. 8:40 – Panel: I think that it’s great that you are SHARING through the process. I think that’s awesome and you are showing what you are learning and the pitfalls and the gains. 9:11 – Guest: It’s been a learning process with pattern matching. 10:20 – Panel. 10:30 – Guest talks about bytes. 10:59 – Panel: One of the first things I did in Elixir was... 11:27 – Guest: ...moving bytes around and moving integers and things like that. Elixir is much nicer! 11:40 – Panel: Can you talk about Gen TCP, please? 11:55 – Guest: A goal of my project tis to dig into the underlining Erlang properties. I think it’s a shame that people don’t explore this. The guest talks about what Gen TCP is! 13:38 – Panel: I like using Gen TCP. 13:54 – Guest: Every problem that I had boiled down to my lack of knowledge. 14:29 – Panel: What do you mean: it worked out better? 14:35 – Guest: My Gen TCP connection would pass to the...the issue is that Gen TCP is a streaming protocol. It might contain multiple packets or 1½ packets, etc. Every time I received some data I would impend it to a buffer and I would look for head eliminators. After that would be the packet length and I would split that number of bytes from the original buffer. That’s hard to explain, but... The guest talks about a solution!! 16:21 – Panel: I think there are a few great points there. One, Erlang has a lot of rich history. What are available through Erlang already? Join the Elixir Slack Channel! 17:34 – Panel: Sounds like you are using property testing? I think that’s cool – I want to spend more time digging into this! What is it? 18:00 – Guest: It is pretty cool and new to me. The guest talks about unit testing and then property testing. 20:20 – Panel: What kind of experience have you had? 20:40 – Fresh Books! 21:48 – Guest: The one place where I am using property testing is... 23:41 – Panel: That’s awesome. I want to get into it more. 23:50 – Guest: Once I get going it falls together pretty easily. It’s hard to come up with the properties that I want to test. 24:11 – Guest: It’s far more eye opening than unit testing. When you have to think about these fundamental properties you see in a different light. 24:33 – Panel: I am dropping in a link to your blog articles that you tagged. Is there anything else you want to say about your project? 24:55 – Guest: It’s an ongoing project. I haven’t actually implemented the meat of the project, yet. Please stay tuned! 25:25 – Panel: Is it your website: petecorey.com? 25:35 – Guest: Yes www.petecorey/blog.com and my newsletter! 25:47 – Panel. 25:55 – Guest asks a question. 26:05 – Panel. 26:12 – Panel: What else to talk about? 26:40 – Guest: There is another project to talk about and it’s about guitar chords and things like that; if you want? 26:57 – Panel: Yeah, generating music with Elixir is simple. I know you did the distance between chords thing? What else is super cool about it? 27:27 – Guest: It programmatically generates these guitar chords. The coolest piece is the algorithm all of guitar fingers for a guitar chord and fret this fret, etc. Then I can take the chord with a specific fingering and measure the distance. 28:30 – Panel: Have you seen Google Wave Net? It’s fairly recent. 28:39 – Guest: Is it related to Google Labs? 28:47 – Panel: I doubt it. 29:18 – Guest: Very cool, but I don’t have the AI chops. 29:26 – Panel. 29:29 – Guest: Yeah it works my brain a bit. 29:40 – Guest: Yeah I play too much guitar. I had enough money to buy my own guitar and amp. 29:54 – Panel: Talk about the chord charts. I was looking for the word: tablature!  END – Ad: Lootcrate.com Links: Ruby Elixir Elm Atom.io Flutter.io JavaScript Visual Studio Code React Bitcoin Gen_TCP Stream Data Bitcoin YECC LEEX Music Rustler ElixirWeekly Jsonnet Ksonnet Pete Corey’s Blog Pete Corey’s Twitter Secure Meteor Grafonnet-lib Prometheus-operator The Sparrow Sponsors: Loot Crate Get a Coder Job! Fresh Books Cache Fly Picks: Josh JSonnet KSonnet Grafonnet Prometheus Operator Mark HSTR Pete The Sarrow

Google Site O Google Site é um produto da Google beta grátis, a mercadoria foi liberada na Google Labs no dia 23 de fevereiro de 2006, e usava o nome de Google Page Creator. https://www.tecword.com.br/google-site/ --- Send in a voice message: https://anchor.fm/tecwordcombr/message Support this podcast: https://anchor.fm/tecwordcombr/support

En el capítulo de hoy vamos a ver cómo elegir el entorno de desarrollo web. La verdad es que no hay una fórmula mágica que nos diga que IDE tenemos que utilizar así que, basándonos en nuestra experiencia, vamos intentar definir unas opciones mínimas que debería tener un IDE para elegirlo como candidato.Antes de continuar recordar que si queréis contactar con nosotros podéis hacerlo a través del formulario de contacto que hay en programarfacil.com, también hay una lista de distribución a la que os podéis suscribir. Tenemos cuenta en Twitter y Facebook, si nos seguís estaréis al día de las novedades que vayamos publicando.Lo primeo que debemos hacer a la hora de elegir un entorno de desarrollo o IDE (del inglés Integrated Development Environment) es tener claro los lenguajes de programación que vamos a utilizar. Como estamos hablando de desarrollo web tenemos claro que si o si vamos a utilizar HTML, CSS y JavaScript (Frontend). En la parte de servidor (Backend) tenemos varias opciones, las más comunes son PHP, Java y ASP.NET. Dependiendo del Backend elegiremos un IDE u otro.Cuando estamos comparando los IDEs que nos ofrece el mercado debemos plantearnos ciertas cuestiones:Coloreado de sintaxis para una mejor legibilidad.Que permita insertar trozos de código o snippets.Integración con un sistema de control de versiones.Poder crear proyectos a partir de plantillas o templates.Función de autocompletado de código.Ejecución en modo debug.Buscar y remplazar código.Refactorizar cóldigo.Si nos basamos en el lenguaje de programación del lado del servidor podemos agrupar los IDEs en la siguientes categorías:PHPNetbeansEclipseSublime TextAptanaVisual Studio CodeWebMatrixAtomJavaNetbeansEclipseIntellij.NETVisual Studio CommunityA pesar de esta distinción puede resultar difícil elegir uno u otro. Una manera de saber lo popular que es un IDE es analizarlo con Google Trends, os hablaremos de esta herramienta en el recurso del día.Existen también otro tipo de IDEs que se denominan Wysiwyg (What You See Is What You Get) lo que ves es lo que obtienes. No aconsejamos el uso de estos entornos de programación para proyectos profesionales debido a que no aprenderás nunca a programar si un software te crea el código, pueden insertar código innecesario y obsoleto, se crea una dependencia grande con el entorno de desarrollo y suele ser un software demasiado pesado. Algunos ejemplos de este tipo de entornos son:DreamweaverBlueGriffonKompozerExisten otras alternativas a los IDE Wysiwyg para aquellos que no se sientan a gusto con la programación y son los CMS. Hay uno que es muy famoso y puedes hacer una web en cuestión de horas, se llama WordPress.Para profundizar más sobre este tema puedes ir a los siguientes artículos de nuestra web:Consejos sobre IDEs de desarrollo webVisual Studio Code de código abiertoAndroid Studio, la alternativa a Eclipse28. Entorno de desarrollo de Arduino9. Desarrollar aplicaciones con Visual Studio CommunityRecurso del díaGoogle TrendsGoogle Trends es una herramienta de Google Labs que muestra la frecuencia de búsqueda de un término con respecto al tiempo. Podemos ver cómo ha variado, cuál es la frecuencia de búsqueda a día de hoy y una previsión futura, tendencia. Si por ejemplo buscamos un lenguaje de programación nos mostrará cómo de popular es y cual es la tendencia que tendrá en un futuro. En el caso que nos lleva hoy es muy útil para comparar la popularidad de los diferentes IDEs de programación.Muchas gracias a todos por los comentarios y valoraciones que nos hacéis en iVoox, iTunes, Spreaker y Overcast nos dan mucho ánimo para seguir con este proyecto.

FounderLine is a live weekly webcast devoted to helping startup founders succeed, hosted by seven-time startup entrepreneur and investor Joe Beninato. Each week, Joe welcomes an experienced entrepreneur or investor to discuss startup-related topics and field questions from entrepreneurs around the world. FounderLine is broadcast live, and viewers are welcome to send questions via email or twitter. For more information, go to founderline.com. In this episode, host Joe Beninato and guest Philip Rosedale of High Fidelity answer viewer questions including: What are some of the differences between starting a company today vs back in the 1990's, aside from lower cost of starting? You've been able to raise a lot of money from some great investors. What are the key reasons you're able to do that? Any insights for a first-time CEO? Ray Kurzweil and Andrew Ng are advancing AI with their work at Google Labs and Baidu Research Lab.  What advantages do you have in advancing Virtual Reality in startups as opposed to joining a large company like Google or Baidu? We are deciding between taking money from a lead investor we don't like and waiting for the right investor to come along. Any advice for weighing the pros and cons? What are your thoughts on employee compensation? Do you do anything out of the ordinary for your teams?

Fake Apple stores found in China, Google Labs to close, facial recognition system causes wrong driver licence to be revoked, how an iPhone fares after falling four thousand metres, a New Zealand school includes iPads on their compulsory stationery list.

une visite guidé des labs de google.

Todd is in top form mountain-topping about Google Labs new feature for automatically adding your location to an email signature.

Geek is Chic is a podcast where technology is fashionable and practical. In episode 29, iPhone this - iPod Touch that ..., We discuss the many things we talk about the fun of iPhones and iPod Touches. Here's the show notes for that episode of the podcast. Geek News Senate okays digital TV transition delay to June 12th Podcast Recommendation Six Pixels of Separation Google Labs Let's hit the Google labs ... What is your favorite addition to the google labs? What do you think of the addition of video and voice chat in G Chat? Do you like the new theme options? Is there any option for customization that you'd like google to add? Website Recommendation JiWire Geek In You Our next episode will mark the one year Podiversary of Geek Is Chic. Please send us emails or calls about your thoughts on the past year. To celebrate, I'm hosting live show, with a very special guest, Liana Lehua of Girls Gone Geek! Friday, January 30th at 8:00pm. Eastern. Join us, come listen live, chat with us and call in! http://www.talkshoe.com/tc/12560 Phone Number: (724) 444-7444 Call ID: 12560 The show ended with the Outasight's Love or confusion Special thanks to my friends at Ariel Publicity. I also wanted to thank Ariel and the crew for featuring me as a new media pioneer in their newsletter. Leave us a comment www.geekischic.org listener line (786) 693-2290 email contact@geekischic.org Thank you listening!

Geek Is Chic is a podcast where technology is fashionable and practical. One of our favorite things is to interact with you. Be a part of the show, and share the geek in you, with me! Let's hit the Google labs ... What is your favorite addition to the google labs? What do you think of the addition of video and voice chat in G Chat? Do you like the new theme options? Is there any option for customization that you'd like google to add? Leave us a comment listener line (786) 693-2290 email contact@geekischic.org

Spurred on by the fascinating podcast with Vint Cerf, Roger recently had the pleasure of spending a day at the Googleplex --- Google's headquarters in Mountain View, California. Over the next few weeks we will post Roger's conversations with Google's leaders. We're sure you'll find these podcasts both interesting and entertaining. In this edition of the Cullinane & Green Report, Roger talks with Marissa Mayer about how Google's unique culture and people have made it a phenomenon of our time. Marissa is Vice President of Search Products & User Experience at Google, where she leads the product management efforts on Google's search products – web search, images, groups, news, Froogle, the Google Toolbar, Google Desktop, Google Labs, and more. She joined Google in 1999 as Google's first female engineer and led the user interface and webserver teams at that time. Her efforts have included designing and developing Google's search interface, internationalizing the site to more than 100 languages, defining Google News, Gmail, and Orkut, and launching more than 100 features and products on Google.com. Several patents have been filed on her work in artificial intelligence and interface design. In her spare time, Marissa also organizes Google Movies – outings a few times a year to see the latest blockbusters – for 6,000+ people (employees plus family members and friends). Concurrently with her full-time work at Google, Marissa has taught introductory computer programming classes at Stanford to over 3,000 students. Stanford has recognized her with the Centennial Teaching Award and the Forsythe Award for her outstanding contribution to undergraduate education. Prior to joining Google, Marissa worked at the UBS research lab (Ubilab) in Zurich, Switzerland and at SRI International in Menlo Park, California. Marissa has been featured in various publications, including Newsweek ("10 Tech Leaders of the Future"), Red Herring ("15 Women to Watch"), Business 2.0 ("Silicon Valley Dream BusinessWeek, Fortune, and Fast Company. Graduating with honors, Marissa received her B.S. in Symbolic Systems and her M.S. in Computer Science from Stanford University. For both degrees, she specialized in artificial intelligence. Count on the Cullinane & Green Report to bring you the most up-to-date information about the people and technologies rocking the world of business development. Remember, at Cullinane & Green we're on the bleeding edge so you don't have to be!