Podcasts about googlers

Kevin Werbach speaks with Medha Bankhwal and Michael Chui from QuantumBlack, the AI division of the global consulting firm McKinsey. They discuss how McKinsey's AI work has evolved from strategy consulting to hands-on implementation, with AI trust now embedded throughout their client engagements. Chui highlights what makes the current AI moment transformative, while Bankwhal shares insights from McKinsey's recent AI survey of over 760 organizations across 38 countries. As they explain, trust remains a major barrier to AI adoption, although there are geographic differences in AI governance maturity.  Medha Bankhwal, a graduate of Wharton's MBA program, is an Associate Partner, as well as Co-founder of McKinsey's AI Trust / Responsible AI practice. Prior to McKinsey, Medha was at Google and subsequently co-founded a digital learning not-for-profit startup. She co-leads forums for AI safety discussions for policy + tech practitioners, titled “Trustworthy AI Futures” as well as a community of ex-Googlers dedicated to the topic of AI Safety.  Michael Chui is a senior fellow at QuantumBlack, AI by McKinsey. He leads research on the impact of disruptive technologies and innovation on business, the economy, and society. Michael has led McKinsey research in such areas as artificial intelligence, robotics and automation, the future of work, data & analytics, collaboration technologies, the Internet of Things, and biological technologies. Episode Transcript The State of AI: How Organizations are Rewiring to Capture Value (March 12, 2025)  Superagency in the workplace: Empowering people to unlock AI's full potential (January 28, 2025) Building AI Trust: The Key Role of Explainability (November 26, 2024) McKinsey Responsible AI Principles

In this episode, Deconstructor of Fun's Michail Katkoff sits down with Tobias Knoke — long-time Googler, gaming industry expert, and Gen Z whisperer — to unpack what game developers need to know right now about the fastest-growing and most misunderstood audience in gaming.

Anne-Laure Le Cunff (@neuranne) is a former Googler who decided to go back to university to pursue a PhD in neuroscience. As the founder of Ness Labs and the author of its widely read newsletter, she is the foremost expert on mindful productivity and systematic curiosity. She writes about evidence-based ways for people to navigate uncertainty and make the most of their minds. Her new book Tiny Experiments: How to Live Freely in a Goal-Obsessed World is out now!In this conversation, Adrienne and Anne-Laure explore the themes of the book, including mindful productivity, the societal obsession with goals, and the importance of embracing uncertainty. Anne-Laure shares insights from her book 'Tiny Experiments', advocating for an experimental mindset that focuses on the process of learning rather than binary outcomes. They discuss the protective mechanisms of cynicism, escapism, and perfectionism, and how metacognition can help individuals navigate their fears and doubts. Hosted on Acast. See acast.com/privacy for more information.

Episode SummaryKathryn Zealand founded Skip to help people stay active and independent through aging and injury, inspired by her grandmother's painful fall and the inadequate technology available at the time. Skip's flagship product, the MoGo, is an innovative, lightweight robotic exoskeleton that acts like an e-bike for walking, offering just the right amount of assistance, whether hiking up mountains or standing from a chair.Kathryn brings her unique perspective as a physicist-turned-founder and former project lead at Google X, Alphabet's moonshot factory, where she learned the art of rapid prototyping and building breakthrough technologies. In this conversation, Kathryn shares Skip's journey from idea to hardware startup, the nuances of building consumer robotics, navigating FDA approval, and tackling the manufacturing challenge of moving from prototype to scale.In today's episode, we cover:• How a personal mission became a company, and why mobility impacts mental health as much as physical well-being• What Skip's MoGo exoskeleton is and how it empowers people to reclaim active lives• Behind the scenes at Google X: spinning out projects, rapid prototyping, and taking big bets• Navigating the complex hardware funding landscape: equity, grants, pre-orders, and venture debt• The art and science of robotic mobility: why understanding user intent matters• Why Skip chose outdoor brands like Arc'teryx as their first partners, and what's next in consumer robotics• The skills Kat had to learn (and unlearn) to become a successful CEO and founderWe also talk about Kat's unconventional career path, from astrophysics to humanitarian law to deep-tech entrepreneurship, and her advice to aspiring founders looking to change the world with impactful technology.Time Stamps00:41 Meet Kat Zealand: Founder, physicist, and former Googler making robotic exoskeletons02:07 How a grandmother's fall became Skip's origin story03:32 Introducing MoGo: “An e-bike for walking”05:11 Why mobility technology impacts mental health and quality of life07:50 Partnering with Arc'teryx: From mountain trails to everyday use08:44 Preparing to scale: From 50 handcrafted prototypes to 10,000 units10:23 Navigating FDA approval and the medical vs consumer hardware divide12:53 The robotics software challenge: Predicting user intent accurately15:58 Behind the scenes at Google X: How Alphabet's moonshot factory works22:34 Spinning out from Alphabet: Lessons from Skip's journey24:00 Funding hardware startups: Venture capital, non-dilutive grants, and customer pre-orders34:37 Leadership lessons Kat had to unlearn as a Kiwi CEO in Silicon ValleyResourcesKathryn Zealand's LinkedIn: https://www.linkedin.com/in/kathryn-zealand/Skip website and MoGo rentals & pre-orders: https://www.skipwithjoy.comGoogle X (Alphabet's moonshot factory): https://x.companyFounders, Inc – SF-based startup community: https://f.inc

What if your sales strategy is holding back your agency's growth?Aaron Levenstadt, former Googler and founder of Agency Alliance shares how he scaled and exited two agencies by mastering sales and specialization.If you're running an agency, selling a service, or struggling to close deals—this episode will change the way you approach sales.What You'll Learn:The bedrock changes Aaron made to scale and exit two agenciesThe Three W's Framework that fixes broken sales callsThe biggest sales mistakes killing agency growthThe most common question agencies answer wrong on sales callsHow to structure your offer so clients stop hesitatingReawakening sleeping leads (you don't need more leads!)The Dr. Seuss book that will make you a better salespersonWhy founder-led sales aren't the problem—it's your processConnect with Aaron Levenstadt:Website - https://www.joinagencyalliance.com/Linkedin - https://www.linkedin.com/in/aaronlevenstadtEmail - Aaron@joinagencyalliance.comResources:Connect with IanDownload a Tackle Box!Supercharge your marketing and grow your business with video case stories today!Book a Discovery Call Today with Our ExpertsSubscribe to the YouTube Channel Hosted on Acast. See acast.com/privacy for more information.

Anne-Laure Le Cunff explains the problem with how we approach goals—and why experimenting is key to fulfillment. — YOU'LL LEARN — 1) The two approaches to setting goals 2) The fallacy that leads to regret 3) How to handle frustrations and disappointments Subscribe or visit AwesomeAtYourJob.com/ep1037 for clickable versions of the links below. — ABOUT ANNE-LAURE — Anne-Laure Le Cunff is a former Googler who decided to go back to university to pursue a PhD in neuroscience. As the founder of Ness Labs and the author of its widely read newsletter, she is the foremost expert on mindful productivity and systematic curiosity. She writes about evidence-based ways for people to navigate uncertainty and make the most of their minds. She lives in London, where she continues to research and teach people how to apply scientific insights to real-world challenges. • Book: Tiny Experiments: How to Live Freely in a Goal-Obsessed World • Website: Ness Labs — RESOURCES MENTIONED IN THE SHOW — • Tool: Roam Research • Book: Nonviolent Communication: A Language of Life: Life-Changing Tools for Healthy Relationships (Nonviolent Communication Guides) by Marshall Rosenberg • Book: Think Again: The Power of Knowing What You Don't Know by Adam Grant• Book: How We Learn: Why Brains Learn Better Than Any Machine . . . for Now by Stanslas Dehaene • Podcast: The Hilarious World of Depression— THANK YOU SPONSORS! — • Earth Breeze. Get 40% off your subscription at earthbreeze.com/AWESOME• BambooHR. See all that BambooHR can do at bamboohr.com/freedemoSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Il ragionamento negli LLM. Microsoft presenta il suo quantum chip Majorana 1. Microsoft chiude Skype. La memecoin di Milei. Queste e molte altre le notizie tech commentate nella puntata di questa settimana.Dallo studio distribuito di digitalia:Franco Solerio, Francesco Facconi, Massimo De SantoProduttori esecutivi:Davide Tinti, @Lucatax, ---, Il Pirata Lechuck, Arzigogolo, Riccardo Peruzzini, Fiorenzo Pilla, Sandro Acinapura, Idle Fellow, Paola Danieli, Giuseppe Benedetti, Roberto Tarzia, Matteo Molinari, Antonio Turdo, Giulio Magnifico, Andrea Scarpellini, Manuel Zavatta, Paolo Boschetti, Diego Venturin, Mirto Tondini, Marco Zambianchi (Astronauticast), Marcello Piliego, Francesco Ricci, Matteo Faccio, Paolo Bernardini, Christian A Marca, Flavio Castro, Roberto Esposito, Luca Di Stefano, Adriano Guarino, @Jh4Ckal, Andrea Grassi, Davide Fogliarini, @Akagrinta, Davide Corradini, Elisa Emaldi - Marco Crosa, Nicola Carnielli, Nicola Bisceglie, Nicola Gabriele Del Popolo, Stefano Augusto Innocenti, Michele Coiro, Mattia Lanzoni, Douglas Whiting, Fabrizio Bianchi, Alex OrdinerSponsor:Squarespace.com - utilizzate il codice coupon "DIGITALIA" per avere il 10% di sconto sul costo del primo acquisto.Links:Alexa Plus arrives with promise but plenty of questionsGPT-4.5 May Arrive Next Week, but GPT-5 Is Just Around the CornerAnthropic launches a new AI model that 'thinks' as long as you wantThe Insurmountable Problem of Formal Reasoning in LLMsSergey Brin says AGI is within reach if Googlers work 60-hour weeksMicrosoft CEO Admits That AI Is Generating Basically No ValueI Do Not Understand Quantum ComputersFAQ on Microsofts topological qubit thingMicrosoft unveils Majorana 1 powered by topological qubitsAI-designed chips are so weird that humans cannot understand themMicrosoft is shutting down Skype in favor of TeamsMan offers to buy city dump in last-ditch effort to recover $800MJavier Milei faces impeachment calls after cryptocurrency collapseMilei offende disabili mentali: potranno essere chiamati idioti e ritardatiPresunti pagamenti alla sorella di Milei per promuovere il tokenWikipedia on USAID, journalism and BitcoinLa comunità Bitcoin indignata per la posizione anti-crypto dell'USAIDThe Politics of BitcoinTypeScript types can run DOOMLive facial recognition in LondonFBI Warns Users—We Want ‘Lawful Access' To All Your Encrypted DataSignal's CEO: Then We're Leaving SwedenY Combinator Supports AI Startup Dehumanizing Factory WorkersPresto i robot di Boston Dynamics non avranno più bisogno di noiA shape-shifting, T-1000-style materialAlibaba Open Video Model Immediately Becomes AI Porn MachineMozilla has just deleted: “Does Firefox sell your personal data?”What @mozillaofficial did in a matter of daysMozillas New Terms of Use are out of step with Firefoxs Direct CompetitionHP customer support included forced 15-minute call wait timesAlmanacco Digitaliano 2024 su LedizioniAlmanacco Digitaliano su AmazonGingilli del giorno:Macrodata Refinement - come nella serie TV Scissione (Severance)Kenobit - Liberare il mio smartphone per liberare me stessoMickey7 - Come ti fotocopio l'essere umanoSupporta Digitalia, diventa produttore esecutivo.

Anne-Laure Le Cunff, author of Tiny Experiments, joins us to discuss how an experimental mindset can offer teens a refreshing, exploratory approach to personal success, allowing them to break free from linear goal setting and conventional expectations.Sponsored by Equip: Eating disorder treatment that works—delivered at home. Visit equip.health/talking for more information, and a free consultation.Full Show NotesIn our quest to guide teens toward successful futures, we often urge them to set concrete, linear goals. We believe these goals offer structure and direction—yet this mindset may inadvertently restrict creativity, unique pursuits, and personal growth in our teens. What if, instead of marching along predetermined paths, teens explored a series of small, impactful experiments that revealed their interests and potential?Today, we're exploring a whole new way of setting teens up for success. Anne-Laure Le Cunff, ex-Googler, neuroscience Ph.D. candidate, and author of Tiny Experiments, reveals how embracing an experimental mindset can help teens navigate life with creativity and freedom. Through her work at Ness Labs, Anne-Laure encourages adopting experimentation over goal-setting to discover personal and unique paths.In her book, Anne-Laure proposes that teens be encouraged to test "tiny experiments" in various areas of their lives—whether it's trying a new hobby, exploring a budding interest, or learning a different skill. Instead of focusing on long-term commitments or the fear of making mistakes, these experiments allow for trial, error, and—most importantly—learning. This approach empowers teens to gather experience and data from which they can draw conclusions for the future.Cultivating CuriosityTeens are naturally curious, and Anne-Laure asserts we should nurture this trait. She suggests parents help teens create a "curiosity circle," where they can explore interests in a group setting, driving communal and personal growth. Recalling how adulthood urged us to “figure it all out,” Anne-Laure invites parents to reminisce about their own teenage years and prioritize exploration over immediate resolutions for their children.Energy and Decision MakingManaging energy, not just time, is crucial for effective experimentation. Anne-Laure highlights the importance of tracking one's energy and aligning activities with peak times for productive engagement. Reflecting on energy levels can enhance experiment outcomes—ensuring that teens feel empowered to optimize their personal schedules for better results.Overcoming Activation BarriersA significant challenge lies in initiating the first step. Anne-Laure introduces frameworks like “the pact” and “plus, minus, next” which scaffold the experimental process, breaking down larger tasks into manageable pieces and prompting reflection. This helps teens confidently explore new initiatives by emphasizing commitment, action, and reflection over mere completion.ConclusionAdopting an experimental mindset allows teens to approach uncertainties in life with agility and resilience—turning challenges into chances to learn. By encouraging experiments, we can prevent the analysis paralysis that often accompanies teen decision-making processes, fostering a more balanced, engaged approach to life.In the Episode…On top of the above, Anne-Laure and I also discuss:How perfectionism undermines opportunityThe role of community in shared learning experiencesPractical examples of setting up a teen-led experimentTracking progress and understanding setbacksFor more insights from Anne-Laure Le Cunff, visit Ness Labs or sign up for her newsletter. If you enjoyed this episode, help us spread the word, share with friends, and subscribe to Talking to Teens for more enlightened discussions.Sponsored by Equip: Eating disorder treatment that works—delivered at home. Visit equip.health/talking for more information, and a free consultation.

n this episode of Fireside PM, I sit down with fellow ex-Googler and product consultant Mustafa Kapatiya to dive into how product managers can maximize AI for productivity, decision-making, and strategy. Mustafa shares real-world insights, including a live demo of AI-driven sentiment analysis, a breakdown of how top PMs leverage AI differently, and how organizations can use AI to do more with less. We also explore the future of product teams, AI's impact on PM career paths, and the evolving role of leadership in an AI-powered world. Tune in for actionable tips and deep insights!

In this insightful episode of the "Leaders, Innovators, and Big Ideas" podcast, we dive deep into the transformative role of technology in business. Al Del Degan interviews Gemini, a large language model created by Google AI, exploring how AI and digital technology are reshaping business landscapes. The episode covers significant shifts from technology being merely a support function to becoming a core driver of strategy and innovation. Discussions include digital transformation, the crucial role of data in modern business, and the pitfalls of viewing software development as a one-time project. Through Gemini's responses, listeners get a glimpse into the future of technology as a strategic asset and its impact on organizational success. Thank you for listening to the Leaders, Innovators and Big Ideas podcast, supported by Rainforest Alberta. The podcast that highlights those people who are contributing to and/or supporting the innovation ecosystem in Alberta. Host: Al Del Degan is a software developer and tech leader in Alberta's innovation ecosystem. He is also a Web3 enthusiast and podcaster, sharing his knowledge and passion for emerging technologies with his audience. Al is the founder and CTO of New Idea Machine, a software company dedicated to helping new developers gain hands-on experience building real-world applications. With his commitment to giving back to the community, Al is always available to offer advice on technology and business. His passion for innovation and entrepreneurship is evident in everything he does, making him a respected leader in the tech industry. Guest: Gemini LLM A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone. Show Links: Gemini LLM  Chat GPT on Episode 259 Show Quotes: "Technology has undergone a dramatic transformation...it's now a core driver of strategy, innovation, and competitive advantage." "Digital transformation is not just about technology; it's about people, processes, and culture. It requires a change in mindset and a focus on customer centricity." Credits... This Episode Sponsored By: New Idea Machine Episode Music: Tony Del Degan Creator & Producer: Al Del Degan  

Guest: Dave Hannigan, CISO at Nu Bank Topics: Tell us about the challenges you're facing as CISO at NuBank and how are they different from your past life at Spotify? You're a big cloud based operation  - what are the key challenges you're tracking in your cloud environments?  What lessons do you wish you knew back in your previous CISO run [at Spotify]? What metrics do your team report for you to understand the security posture of your cloud environments?  How do you know “your” cloud use is as secure as you want it to be? You're a former Googler, and I'm sure that's not why, so why did you choose to go with Google SecOps for your organization? Resources: “Moving shields into position: How you can organize security to boost digital transformation” blog and the paper. “For a successful cloud transformation, change your culture first” blog “Is your digital transformation secure? How to tell if your team is on the right path”' blog EP201 Every CTO Should Be a CSTO (Or Else!) - Transformation Lessons from The Hoff EP104 CISO Walks Into the Cloud: And The Magic Starts to Happen! EP141 Cloud Security Coast to Coast: From 2015 to 2023, What's Changed and What's the Same? EP209 vCISO in the Cloud: Navigating the New Security Landscape (and Don't Forget Resilience!) “Thinking Fast and Slow” book “Turn the Ship Around” book

Warum ein Monsterteleskop auch bei schlechtem Wetter nichts bringt und durch wen der Googler ersetzt werden muss? Wer war der erste Zombie und können uns Wale aus Versehen umbringen? Wie erklärt man Dummheit und was ist das nächste Kapitel im Urlaubsdesaster? Was ist der Marshmallow Test warum sind am Ende die Ärsche geleckt? Viel Moral, viel Gesprächsbedarf und einmal mehr stellen wir uns die Frage: Wie kommt es dazu, dass es die Leute sind, die am lautesten schreien die am wenigsten Ahnung haben?

On Episode #10 of Tedi Talks, Tedi welcomes back special guest Kimara Mayberry, Founder & Principal Consultant at Platinum Consulting Group, located in Southeast Michigan.  Tedi, true to fashion, kicks of this episode with some stats he found on the Googler, which leads to a fascinating conversation on Gaslighting. Kimara explains what Gaslighting is and how damaging this can be, both personally and professionally, to those who experience it (especially members of a marginalized group).  Kimara shares with us what Code Switching is why this is necessary for a lot of people to use to survive in the workplace.  Kimara explains what Psychological Safety is and why we need to make sure to maintain this.  Another great conversation with another amazing professional.  You can learn more about Kimara at:Kimara Mayberry, Founder & Principal ConsultantPlatinum Consulting GroupFacebook:  https://www.facebook.com/platinumcgllc LinkedIn: https://www.linkedin.com/in/kimara-mayberry-mba-phr-shrm-cp-chaa-52a4a213/Email: platinumhrconsulting@gmail.comResources:March of Dimes of Metro DetroitMiDEC Diversity Education Series, Session #1 (2/19/2025)Combating Gaslighting in the Workplace (Article: 6/30/2020)Episode Sponsor:2b Inclusive LLC (Website)The opinions and statements made on the Tedi Talks Podcast are/or do not necessarily reflect those of the Tedi Talks Podcast or Tedi Parsons. To learn more, please visit: https://tediparsons.com/tedi-talksThe music used for this podcast was provided by: afterparty-review-by-sascha-ende-from-filmmusic-io. https://filmmusic.io/standard-license. License (CC BY 4.0):

The DOGE team faces growing backlash. The Five Eyes release guidance on protecting edge devices. A critical macOS kernel vulnerability allows privilege escalation, memory corruption, and kernel code execution. Google and Mozilla release security updates for Chrome and Firefox. Multiple Veeam backup products are vulnerable to man-in-the-middle attacks. Zyxel suggests you replace those outdated routers. A former Google engineer faces multiple charges for alleged corporate espionage. CISA issues nine new advisories for ICS vulnerabilities. A house Republican introduces a cybersecurity workforce scholarship bill. On our CertByte segment, a look at ISC2's CISSP exam. Google updates its stance on AI weapons.  Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CertByte Segment Welcome to CertByte! On this bi-weekly segment hosted by Chris Hare. This week, Chris is joined by Steven Burnley to break down a question targeting ISC2®'s CISSP - Certified Information Systems Security Professional) exam. Today's question comes from N2K's ISC2® CISSP - Certified Information Systems Security Professional Practice Test. Have a question that you'd like to see covered? Email us at certbyte@n2k.com. If you're studying for a certification exam, check out N2K's full exam prep library of certification practice tests, practice labs, and training courses by visiting our website at n2k.com/certify. Please note: The questions and answers provided here, and on our site, are not actual current or prior questions and answers from these certification publishers or providers. Selected Reading Federal Workers Sue to Disconnect DOGE Server (WIRED) Treasury says DOGE review has ‘read-only' access to federal payments system (The Record) ‘Things Are Going to Get Intense:' How a Musk Ally Plans to Push AI on the Government (404 Media) Cybersecurity, government experts are aghast at security failures in DOGE takeover (CyberScoop) Five Eyes Launch Guidance to Improve Edge Device Security (Infosecurity Magazine) Apple's MacOS Kernel Vulnerability Let Attackers Escalate Privileges - PoC Released (Cyber Security News)  Chrome 133, Firefox 135 Patch High-Severity Vulnerabilities (SecurityWeek) Critical Veeam Vulnerability (CVE-2025-23114) Exposes Backup Servers to Remote Code Execution (SOCRadar) Router maker Zyxel tells customers to replace vulnerable hardware exploited by hackers (TechCrunch) US cranks up espionage charges against ex-Googler accused of trade secrets heist (The Register) CISA Releases Nine Advisories Detailing vulnerabilities and Exploits Surrounding ICS (Cyber Security News) CISA hires former DHS CIO into top cyber position (Federal News Network) Proposal for federal cyber scholarship, with service requirement, returns in House (The Record) Google drops pledge not to use AI for weapons or surveillance (Washington Post) Share your feedback. We want to ensure that you are getting the most out of the podcast. Please take a few minutes to share your thoughts with us by completing our brief listener survey as we continually work to improve the show.  Want to hear your company in the show? You too can reach the most influential leaders and operators in the industry. Here's our media kit. Contact us at cyberwire@n2k.com to request more info. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

On Episode #9 of Tedi Talks, Tedi welcomes special guest Brigitte Betser, a Franchise Executive, Consultant and Business Ownership Guide, located in Grand Rapids, Michigan.  Tedi kicks-off the conversation after hitting the Googler with some stats on new business startups over the past several years.  Brigitte shares with us how she got started in her career in helping others realize their dream (and this had nothing to do with her biology degree).  Brigitte and Tedi also talk about the benefits of owning your own business and how starting with a franchise is a great idea, especially for those looking for something after retirement or leaving their job. Brigitte shares with us the steps on how to start your own franchise and how she can assist you with this.  If you are ready to be your own boss, you def will not want to miss this conversation.  You can learn more about Brigitte at:Brigitte Betser, Franchise Executive FranNetWebsite: https://frannet.com/franchise-consultant/brigitte-betser/LinkedIn: https://www.linkedin.com/in/bbetser/ Email: bbetser@frannet.comResources:The Economic Innovation Group (Statistics on 2020 Business Boom)Leading U.S.-Based Franchises in 2023, by Global Sales Clean EatzS4-11: Grazing w/Lindsey CoffeltThe opinions and statements made on the Tedi Talks Podcast are/or do not necessarily reflect those of the Tedi Talks Podcast or Tedi Parsons. To learn more, please visit: https://tediparsons.com/tedi-talksThe music used for this podcast was provided by: afterparty-review-by-sascha-ende-from-filmmusic-io. https://filmmusic.io/standard-license. License (CC BY 4.0):

Sophia Lee, a TikTok influencer working in Big Law, shares career insights, advice for aspiring lawyers, and a glimpse into her daily life. Connect w/ Sophia Lee! https://www.tiktok.com/@sophhialee 0:00 - Introduction 0:48 - Meet Sophia Lee 2:44 - First 6 months of experience working in Big Law 5:10 - What she loves about her job in Big Law 7:21 - What surprises her about the Big Law world 8:51 - Andy shares his experience meeting Googlers at a friend's birthday party 9:54 - Was it competitive to get into Big Law or a top 20 law firm? 11:43 - What drives her to pursue a career in Law 14:06 - Why she switched from pre-med to law 16:57 - Sophia graduating with a Bachelor in Psychology w/Pre-Law, Taking a Gap Year 17:19 - The journey to become licensed lawyer 18:23 - Difference between studying law in Australia vs. the US 19:53 - Big Law's first-year associate earning $200k/year vs. Private Law firm's first-year associate earning $100k/year 21:11 - Can you study law regardless of your undergraduate degree? 22:18 - Preparation for the upcoming LSAT 23:51 - Why doesn't Sophia apply to law school with her current LSAT score? 24:59 - Sophia shares which law schools she wants to attend 25:39 - Is it possible to climb the ranks in Big Law without a law degree? 26:34 - Sophia shares that she was born in South Korea and moved to the US when she was 3 years old 27:10 - Sophia shares her experience living in New York 28:15 - Which law firm she wants to work for 30:11 - Why she chose to study law in LA rather than New York 31:52 - The differences between the TV show "Suits" and the real legal field 35:08 - How do lawyers study ethics and then represent someone who is obviously guilty? 38:43 - How would Sophia ethically represent someone who has stolen a large amount of money? 41:36 - What makes a lawyer a good lawyer? 44:20 - Who is responsible for getting the best price when selling a company? 45:19 - What is litigation? 46:55 - Sophia discusses working in litigation in the corporate world 48:48 - Day-to-day tasks working in the corporate world 54:53 - Using AI/ChatGPT in the legal field 56:29 - The type of law she wants to pursue after earning her law degree 59:08 - Sophia discusses wanting a family while working in Big Law 1:01:01 - How her psychology degree plays a role in her job 1:04:23 - What does it take to succeed in the corporate world? 1:09:19 - What drives her to always learn from others 1:11:32 - Sophia shares their dynamic with her younger brother (Are they similar or different?) 1:12:45 - Sophia shares the dangers of working in criminal law 1:15:01 - Does Sophia see herself working 80-hour weeks until she's 60? 1:16:05 - Lawyers who aim to save the world but end up stuck in the corporate world 1:16:47 - Why she wants to be a voice for children in the legal field 1:18:42 - Is Sophia similar to her parents? How do you raise children to want to take on the family business? 1:21:14 - How does Sophia get paid overtime for work? 1:21:46 - Sophia shares her experience working remotely from home 1:23:20 - Sophia shares her social life despite a busy work schedule 1:25:47 - How she met her old group of friends 1:26:56 - How her recent breakup affected her friend circle 1:29:48 - The reasons for her recent breakup 1:31:14 - Andy shares feeling intimidated by Sophia at the start of the podcast 1:33:12 - How she manages her messages and calls every day 1:35:40 - How she stays in touch with friends 1:37:04 - How she started creating TikTok content 1:41:43 - Why she doesn't post on TikTok the same day she creates content 1:43:08 - Types of recovery process 1:47:01 - Sophia compliments Andy's Australian accent 1:48:14 - Recent life discoveries 1:51:40 - Goals for the next 6 months 1:54:56 - Connect with Sophia 1:55:22 - Outro

Jump start your new year with a dynamic, action-oriented, inspirational conversation with Mike Steib, who is now CEO of XO Group, now known as The Knot Worldwide.  During his time at Google, Mike created the “Career Manifesto” Google doc for his team.  This doc quickly went viral, inspiring many Googlers and young professionals beyond Google's walls.  In this podcast, Mike brings the Career Manifesto to life through an engaging, insightful Talk geared toward early professionals who want to take control of their career path and make the most meaningful impact in their jobs in order to lead a more fulfilling life. Originally published in April of 2017. Visit http://youtube.com/TalksAtGoogle/ to watch the video.

**BEST OF**What does it take to lead one of the world's most creative and innovative companies?  Mel Silva's been with Google for over 16 years, and now as the Managing Director for Australia and New Zealand, she's a pivotal part of fostering the company's world-famous culture.  Mel unpacks the key lessons she's learned in her many roles with the company, including the lessons she's learned from her coach, and what she's learned about herself and her leadership style since becoming a mentor for up-and-coming Googlers.  Mel also shares her most valuable new working practice, which she calls ‘thinking days,' and teaches you how to make deep thinking time as effective as possible for you and your organisation.  Connect with Mel on LinkedIn My latest book The Health Habit is out now. You can order a copy here: https://www.amantha.com/the-health-habit/ Connect with me on the socials: Linkedin (https://www.linkedin.com/in/amanthaimber) Instagram (https://www.instagram.com/amanthai) If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha-imber.ck.page/subscribe Visit https://www.amantha.com/podcast for full show notes from all episodes. Get in touch at amantha@inventium.com.au Credits:Produced by InventiumHost: Amantha ImberSound Engineer: Martin ImberEpisode Producer: Liam RiordanSee omnystudio.com/listener for privacy information.

Merry Christmas! Enjoy this episode consisting of Rachel's first pickleball tournament, comparing passwords, and the segment 'relatable or nah?' Check out Good Ranchers and use code GRKC http://bit.ly/3KV86YU Check out Main Street Roasters and use code GRKC at check out for a 10% discount! https://mainstreetroasters.com Help give the gift of water to those in need: https://give.healingwaters.org/pmdmatch Ghostrunners merch: https://bit.ly/399MXFu Become a Patron and get exclusive content from Jake & Brad: https://bit.ly/2XJ1h3y Follow us on Instagram: http://bit.ly/33WAq4P Leave us a voice memo and ask a question: https://anchor.fm/jake-triplett/message Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Victor Savkin, CTO at NX and ex-Googler, discusses his ...

Suzanne is the Director CEE, Google Customer Solutions and a long time Googler. In this episode we discuss: Planning (or not) for a career How digital marketing has changed in the 25 years Has brand loyalty changed over the years Do you need to be always on with your marketing Talk to your customers Working across counties and customs Using AI as a BFF What companies are worried about with AI (it's not what you think) The full episode page, including links and a transcription can be found here: https://eximomarketingstrategy.com/customer-insight-with-suzanne-claassen-strategy-sessions-podcast/

Welcome to a new episode of the Pitch Cafe Podcast!

Wed, 27 Nov 2024 17:00:00 GMT http://relay.fm/clockwise/582 http://relay.fm/clockwise/582 Good Ol'-Fashioned Googler 582 Dan Moren and Mikah Sargent Our tech use with family and friends during the holidays; gadgets we'd bring for a long, power-limited day trip like attending a Supreme Court rally; seeking or avoiding Black Friday tech deals; and the apps we use for recipe discovery and management. Our tech use with family and friends during the holidays; gadgets we'd bring for a long, power-limited day trip like attending a Supreme Court rally; seeking or avoiding Black Friday tech deals; and the apps we use for recipe discovery and management. clean 1799 Our tech use with family and friends during the holidays; gadgets we'd bring for a long, power-limited day trip like attending a Supreme Court rally; seeking or avoiding Black Friday tech deals; and the apps we use for recipe discovery and management. This episode of Clockwise is sponsored by: Vitally: A new era for customer success productivity. Get a free pair of AirPods Pro when you book a qualified meeting. Guest Starring: mb bischoff and Jean MacDonald Links and Show Notes: Support Clockwise with a Relay FM Membership Submit Feedback MelaMela is a simple, elegant and modern recipe manager for iOS and macOS that syncs with iCloud. Paprika Recipe ManagerPaprika is an app that helps you organize your recipes, make meal plans, and create grocery lists. Using Paprika's built-in browser, you can save recipes from anywhere on the web. CroutonA home for your favourite recipes, from wherever you find them.

Wed, 27 Nov 2024 17:00:00 GMT http://relay.fm/clockwise/582 http://relay.fm/clockwise/582 Dan Moren and Mikah Sargent Our tech use with family and friends during the holidays; gadgets we'd bring for a long, power-limited day trip like attending a Supreme Court rally; seeking or avoiding Black Friday tech deals; and the apps we use for recipe discovery and management. Our tech use with family and friends during the holidays; gadgets we'd bring for a long, power-limited day trip like attending a Supreme Court rally; seeking or avoiding Black Friday tech deals; and the apps we use for recipe discovery and management. clean 1799 Our tech use with family and friends during the holidays; gadgets we'd bring for a long, power-limited day trip like attending a Supreme Court rally; seeking or avoiding Black Friday tech deals; and the apps we use for recipe discovery and management. This episode of Clockwise is sponsored by: Vitally: A new era for customer success productivity. Get a free pair of AirPods Pro when you book a qualified meeting. Guest Starring: mb bischoff and Jean MacDonald Links and Show Notes: Support Clockwise with a Relay FM Membership Submit Feedback MelaMela is a simple, elegant and modern recipe manager for iOS and macOS that syncs with iCloud. Paprika Recipe ManagerPaprika is an app that helps you organize your recipes, make meal plans, and create grocery lists. Using Paprika's built-in browser, you can save recipes from anywhere on the web. CroutonA home for your favourite recipes, from wherever you find them.

On Episode #4 of Tedi Talks, Tedi welcomes back special guest Amy Mollitor, a Certified Life Coach and EFT Tapping Master Practitioner, located in Lansing, MI.  Amy shares with us what Emotional Freedom Technique (EFT Tapping) is and the many benefits it offers.  Tedi once again hits the Googler and provides some history on EFT.  Tedi and Amy talk about the many different ways that we can reduce stress at work and with the upcoming holidays.  Amy shares with us how she uses journaling along with taking long walks as a way to reduce stress.  As we deal with everyday stress and the holidays, this is a conversation you do not want to miss.  You can learn more about Amy at:Amy C. Mollitor, CPC, ELI-MPCertified Life Coach & EFT Tapping Master PractitionerIntentional Energy CoachingFacebook:  https://www.facebook.com/intentionalenergycoaching/LinkedIn:  https://www.linkedin.com/in/amycmollitor/Instagram:  https://www.instagram.com/amycmollitor/Email:  amy@intentionalenergycoaching.comLinks & Resources:Wild Wisdom Her (Podcast)Learn EFT Tapping - Reduce Anxiety & Improve Focus in Minutes! (Event)The opinions and statements made on the Tedi Talks Podcast are/or do not necessarily reflect those of Real Talk with Tedi or the Real Talk Network . To learn more, please visit: https://tediparsons.com/tedi-talksThe music used for this podcast was provided by: afterparty-review-by-sascha-ende-from-filmmusic-io. https://filmmusic.io/standard-license. License (CC BY 4.0):

On Episode #3 of Tedi Talks, Tedi welcomes back special guest, Amy Jo Weller,  Associate Broker-Realtor at The Weller Real Estate Collective, located in Grandville, MI.  Tedi hit the Googler again and provides several interesting stats about the real-estate market in 2023 here in the U.S.  Tedi and Amy Jo talk about where we are currently at in the real-estate market and what 2025 may look like for those buying and selling a home.  Amy Jo shares with us the importance of having your home sell ready and what we can do to increase the value before putting it on the market.  Our favorite Realtor is back and she has a lot to share with us.  You can learn more about Amy Jo at: Email:   Amyjoweller@wellercollective.com Phone:  (616) 706-0706 Website:   https://www.wellercollective.com/weller-real-estate-team Facebook:  https://www.facebook.com/WellerRealEstateCollectiveUPDATE:  After discussing who sets the mortgage rates, here is what Amy Jo found:  Mortgage rates are affected by market factors like inflation, the cost of borrowing, bond yields and risk. Mortgage rates are also affected by personal financial factors, such as your down payment, income, assets and credit history.The opinions and statements made on the Tedi Talks Podcast are/or do not necessarily reflect those of Real Talk with Tedi or the Real Talk Network . To learn more, please visit: https://tediparsons.com/tedi-talksThe music used for this podcast was provided by: afterparty-review-by-sascha-ende-from-filmmusic-io. https://filmmusic.io/standard-license. License (CC BY 4.0):

Fri, 08 Nov 2024 22:00:00 GMT http://relay.fm/material/489 http://relay.fm/material/489 Andy Ihnatko and Florence Ion Googlers spook their bosses with questions at the company's annual Halloween party. Googlers spook their bosses with questions at the company's annual Halloween party. clean 2578 Googlers spook their bosses with questions at the company's annual Halloween party. Links and Show Notes: Google Keep FAB redesign makes new notes a two-step process Report: Google preps ‘Jarvis' AI agent that works in Chrome Google employees pressure costumed execs at all-hands meeting for clarity on cost cuts 7 pieces of AI news we announced in October Supp

Fri, 08 Nov 2024 22:00:00 GMT http://relay.fm/material/489 http://relay.fm/material/489 Absolutely FAB-ulous 489 Andy Ihnatko and Florence Ion Googlers spook their bosses with questions at the company's annual Halloween party. Googlers spook their bosses with questions at the company's annual Halloween party. clean 2578 Googlers spook their bosses with questions at the company's annual Halloween party. Links and Show Notes: Google Keep FAB redesign makes new notes a two-step process Report: Google preps ‘Jarvis' AI agent that works in Chrome Google employees pressure costumed execs at all-hands meeting for clarity on cost cuts 7 pieces of AI news we announced in October Support Mater

Welcome to the What's Next! Podcast with Tiffani Bova.  This week, I'm excited to welcome Frederik Pferdt to the show. He's the former Chief Innovation Evangelist at Google where he helped shape one of the most fabled creative cultures in the world. He founded Google's Innovation Lab, where he trained tens of thousands of Googlers to develop and experiment with cutting-edge ideas and taught groundbreaking classes on innovation and creativity at Stanford for more than a decade. He has a new book out called What's Next Is Now: How to Live Future Ready. THIS EPISODE IS PERFECT FOR… anyone eager to learn how to proactively create their future and develop a growth-oriented mindset. TODAY'S MAIN MESSAGE… in this inspiring conversation, Frederik dives into what it means to live future-ready. He believes we each have the power to intentionally shape the future instead of waiting for it to happen. Frederik introduces his six principles that help shift to this way of thinking.  Key Takeaways: The future isn't something that happens to you. You have the power to create it.  We talk a lot about mindset, but Frederik introduces the idea of “mindstate” and our ability to influence a moment.  When you pay attention to your choices throughout your day and week, you'll quickly notice that your future isn't predetermined but something you're actively creating.  Some situations are out of our control, but we can always control our responses and outlook.  WHAT I LOVE MOST… the sixth principle, Dimension X, or your superpower. Discovering your strengths takes time, reflection, and sometimes courage, but when you incorporate them into the way you see the future, you're able to impact the world in a unique way.    Running Time: 27:13   Subscribe on iTunes   Find Tiffani Online: LinkedIn Facebook X   Find Frederik Online: LinkedIn NextLetter   Frederik's Book: What's Next Is Now: How to Live Future Ready  

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

Matt Linton (@0xMatt)is a Googler and former NASA employee and red teamer. He has some opinions on the way we do phishing testing today with comparisons to how fire safety evolved. Even better, he offers solid solutions on how we can do better phishing testing so that people better understand the expectations of them and to still keep the enterprise protected. In this episode, we discuss a blog post that he wrote for Google. You can read the blog post here: https://security.googleblog.com/2024/05/on-fire-drills-and-phishing-tests.html

It's been a strange week in tech. The Nobel prizes in both Chemistry and Physics went to prominent former or current Googlers, and yet the tech news cycle has been dominated by the U.S. government's intent to break up a seemingly prostrate Google. Keith Teare and Andrew, in their regular That Was The Week summary of tech news, discuss Google's failure to present itself in the United States as the motor of American economic innovation. OpenAI has stolen that mantle, Keith suggests, which may be why the editorial in his newsletter this week is about OpenAI's trillion dollar opportunity. Google's messaging is off, Keith suggests, which is why they might consider hiring Chris Lehane, the subject of an intriguing New Yorker piece on Silicon Valley's new master of the political message. The only problem is that Lehane is Sam Altman's new messaging man at OpenAI. Perhaps Altman should use ChatGPT to create a Lehane bot, which they could then sell, for billions of dollars, to Big Tech rivals like Google, Amazon and Microsoft. Keith Teare is the founder and CEO of SignalRank Corporation. Previously, he was executive chairman at Accelerated Digital Ventures Ltd., a U.K.-based global investment company focused on startups at all stages. Teare studied at the University of Kent and is the author of “The Easy Net Book” and “Under Siege.” He writes regularly for TechCrunch and publishes the “That Was The Week” newsletter.Named as one of the "100 most connected men" by GQ magazine, Andrew Keen is amongst the world's best known broadcasters and commentators. In addition to presenting KEEN ON, he is the host of the long-running How To Fix Democracy show. He is also the author of four prescient books about digital technology: CULT OF THE AMATEUR, DIGITAL VERTIGO, THE INTERNET IS NOT THE ANSWER and HOW TO FIX THE FUTURE. Andrew lives in San Francisco, is married to Cassandra Knight, Google's VP of Litigation & Discovery, and has two grown children.Keen On is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit keenon.substack.com/subscribe

In this episode, Aaron walks us through the painful process of reinventing himself, a journey that leads him from NYC to the Midwest to LA, from the Ivory Tower to the Googleplex.

Google Innovation Lab founder Frederik Pferdt discusses how to nurture the qualities that make you future ready. — YOU'LL LEARN — 1) What matters more for your future than tech 2) Why to say “Fantastic!” when things don't work out 3) A handy trick to inspire better followthrough Subscribe or visit AwesomeAtYourJob.com/ep994 for clickable versions of the links below. — ABOUT FREDERIK — As Google's first Chief Innovation Evangelist, Dr. Frederik G. Pferdt helped shape one of the most fabled creative cultures in the world. He founded Google's Innovation Lab, where he trained tens of thousands of Googlers to develop and experiment with cutting-edge ideas and taught ground-breaking classes on innovation and creativity at Stanford University for more than a decade. He has also worked with dozens of international government agencies, organizations, and businesses ranging from the United Nations to NASA to the NBA. His work has been highlighted in Fast Company, Harvard Business Manager, Der Spiegel, and BBC news, among many other media outlets. Born in Germany, he lives with his family in Santa Cruz, California.• Book: What's Next Is Now: How to Live Future Ready • LinkedIn: Dr. Frederik G. Pferdt • Website: FrederikGPferdt.com — RESOURCES MENTIONED IN THE SHOW — • Study: AdultDevelopment.org • Book: "Mindset: The New Psychology of Success" by Carol Dweck • Book: "Outlive: The Science and Art of Longevity" by Peter Attia and Bill Gifford • Past episode: 267: Managing Self-Doubt to Tackle Bigger Challenges with Tara Mohr • Don't miss out on your chance to appear on How to be Awesome at Your Job and win $1000 worth of prizes! Check out https://awesomeatyourjob.com/1000giveaway for more details.— THANK YOU SPONSORS! — • Hello Bello. Get 30% off your first customizable bundle with HelloBello.com/awesomeSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Kelly talks Yes, And with Dr. Frederik Pferdt, Google's first Chief Innovation Evangelist. He founded Google's Innovation Lab, where he trained tens of thousands of Googlers to develop cutting-edge ideas and taught groundbreaking classes on innovation and creativity at Stanford University for more than a decade. His new book is called “What's Next is Now: How […]

You can learn a lot about somebody just by learning about how they get things done. Are they the sort of person who might have a perfectly color-coded email inbox, a flawlessly organized to-do list, and what's that, they just sent you a calendar invite for happy hour next week? Or are they more likely to have a giant pile of sticky notes they never look at, a computer desktop with so many files you can't even see the wallpaper, and today's main tasks written on their arm? Neither is wrong, but they're very different. On this episode of The Vergecast, the second in our three-part miniseries about work and productivity and how to get more done in a digital world, we decide to get to know our colleagues in a new way: by asking them to share their own productivity systems. We didn't give them much specific instruction or homework, other than to come ready to answer a question: how do you get stuff done? Eight Verge staffers showed up, with eight very different ideas about what being productive means and how best to pull it off. Along the way, we found some ideas to steal, a few new apps and tools to try, and a lot of new thoughts about our co-workers. If you want to know more about the things we discuss in this episode, here are a few links to get you started: A Googler's guide to getting things done TickTick Upnote Notion Google Keep Google Calendar The Rhodia #16 spiral notepad Papier's productivity planners Email us at vergecast@theverge.com or call us at 866-VERGE11, we love hearing from you. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Welcome to episode #946 of Six Pixels of Separation - The ThinkersOne Podcast. Here it is: Six Pixels of Separation - The ThinkersOne Podcast - Episode #946. Dr. Frederik Pferdt has spent his career helping some of the most creative minds at Google - and beyond - shape the future. As Google's first Chief Innovation Evangelist, he didn't just observe the future unfolding; he actively shaped it. Frederik founded Google's Innovation Lab, where he coached tens of thousands of Googlers in the art of innovation, fostering a culture that thrives on curiosity, empathy, and experimentation. His work has resonated far beyond Silicon Valley, with collaborations ranging from NASA to the NBA, and teaching stints at Stanford University that inspired a new generation of thinkers. In his book, What's Next Is Now - How to Live Future Ready, Frederik challenges the notion that the future is something we passively encounter. Instead, he invites us to see it as something we actively create. He distills his philosophy into six principles: optimism, openness, curiosity, experimentation, empathy, and something he calls "Dimension X" - the unique way each of us perceives the world. This isn't just a framework for surviving the future; it's a guide to thriving in it. During our conversation, Frederik dives into how these principles aren't just abstract concepts but actionable strategies that anyone can apply. He emphasizes that the future is crafted by the choices we make today, and by cultivating a "future-ready mindstate," we can turn ambiguity and uncertainty into opportunities. From collecting dots — ideas, experiences, and learnings — to connecting them in innovative ways, Frederik explains how we can stay ahead in a rapidly evolving world. Frederik also touches on the importance of predictive empathy, which helps us understand the potential consequences of emerging technologies, and how embracing uncertainty is crucial for personal growth. He shares insights on how to counter the cynicism that often accompanies aging by intentionally choosing curiosity and optimism. Our discussion explores the transformative power of mindfulness practices like silent meditation retreats and the value of experimentation in cutting through the hype of the present moment. Enjoy the conversation... Running time: 57:23. Hello from beautiful Montreal. Subscribe over at Apple Podcasts. Please visit and leave comments on the blog - Six Pixels of Separation. Feel free to connect to me directly on Facebook here: Mitch Joel on Facebook. Check out ThinkersOne. or you can connect on LinkedIn. ...or on Twitter. Here is my conversation with Dr. Frederik Pferdt. What's Next Is Now - How to Live Future Ready. Frederik's NextLetter. Follow Frederik on LinkedIn. Follow Frederik on Instagram. This week's music: David Usher 'St. Lawrence River'. Chapters: 00:00 - Introduction and Background. 02:10 - Creating a Future-Ready Mind State. 11:02 - The Power of Collecting Dots. 27:22 - Changing Our Relationship with the Future. 31:14 - Reflections on the Pace of Change. 33:13 - Shaping the Future through Present Choices. 35:43 - Embracing Uncertainty and Active Learning. 40:18 - Counteracting Cynicism with Qualities of Mind. 48:32 - Navigating the Hype and Trends of the Present. 57:17 - The Transformative Power of Silent Meditation Retreats.

The buying experience in B2B has and continues to change dramatically. Buyers are now more informed and demanding than ever before, and they expect a personalized and seamless experience from start to finish.In this episode of the B2BMX Podcast, you'll hear from ex-Googler and current VP of Revenue Marketing for DigitalOcean Steve Armenti. He took the B2BMX stage in Scottsdale earlier this year to share a new framework designed to provide buyers with a better purchasing experience. With several demand and growth leadership positions under his belt, Armenti focuses on building demand and growth teams that drive revenue. Tune in now to learn how to use ABM in a new capacity to meet the evolving needs of today's B2B buyers. Armenti will dive deep into topics such as: Aligning sales and marketing as step zero; The future of account intelligence and mapping (how gen AI accelerates this); Shifting from MQLs to MQAs; Redefining the role of lead generation;  The power of ABM in lifecycle marketing campaigns; Ai-driven personalization for account-based strategies; and A new way to measure ABM. It's time to perfect your ABM strategies for the modern B2B buyer... and reap the benefits! Don't miss Armenti's highly-rated keynote to get the ultimate ABM framework. RELATED LINKS: Connect with Steve Armenti on LinkedIn here; Learn more about B2BMX East, here;Register for B2BMX East using this special 15% off code just for our listeners: MXPOD15; andFollow us on LinkedIn and X.

Laura Mae Martin is a big believer in the settings menu. Martin is Google's Executive Productivity Advisor, and spends much of her time working with other Googlers on improving their productivity and communication systems — and one of the things she often recommends is taking a few minutes to poke through the options. “With your phone, with your email, your Slack, all these things, the features are there but we don't take the time to dive into them,” she says. She even thinks you should maybe have to look at settings before you can use the app. “Like, you can't get into the app unless you spend 10 minutes figuring out what it can do.” On this episode of The Vergecast, the first in our three-part miniseries about all things productivity and work, we talk to Martin about how she sees things changing. Four years after the pandemic forced us all to work from home, are we finally figuring out remote and hybrid work? Are managers realizing that butts-in-seats isn't, and maybe was never, a good metric for productivity? And is the era of the hard-charging hustle bro finally giving way to a healthier, more holistic way of thinking about being productive? Martin sees all these things from so many perspectives, and has lots of thoughts on everything from communication styles to energy flows. We also talk about the rise in digital productivity tools like Notion and Slack, and why email is still so important — and still so terrible. One of Martin's jobs at Google is to consult with the teams building Workspace apps like Docs and Gmail, and she has lots of thoughts on how those product works and how they could be better. We also talk about whether AI stands to change the way we get things done, and whether it'll help us do more or just give us more to do. Along the way, Martin offers us lots of practical tips on how to manage our digital lives a little better. Charging your phone outside the bedroom, no-tech Tuesdays, and a couple of prettier email labels might actually go a long way. And if you have too many notes in too many places, it's time to get a Main List going. If you want to know more on everything we talk about in this episode, here are a few links to get you started: Laura Mae Martin's website Her book, Uptime: A Practical Guide to Personal Productivity and Wellbeing' The Google Workspace guide to productivity and wellbeing The Verge's favorite tools to stay organized The best note-taking apps for collecting your thoughts and data All I want is one productivity app that can handle everything Email us at vergecast@theverge.com or call us at 866-VERGE11, we love hearing from you. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode: mindfulness, entrepreneurship, financial independence, personal growth with Colm DolanEpisode SummaryIn this episode of the Mindful Fire Podcast, host Adam Coelho sits down with Colin Dolan, a former Googler and the founder of Pub Lift. They discuss Colin's entrepreneurial journey, the intersection of mindfulness and business, and the importance of creating a positive company culture. Colin shares insights on how meditation and mindfulness practices have influenced his life and work, as well as his thoughts on financial independence and self-improvement.Guest BioColin Dolan is the founder of Pub Lift, an ad tech business that supports online publishers in building sustainable revenue streams. With a background in ad operations and a passion for self-improvement, Colin combines his entrepreneurial spirit with mindfulness practices to create a thriving business environment.Guest Contract InformationColin Dolan, [Colin's email/contact info]Key TakeawaysEntrepreneurship can be a spiritual journey filled with personal growth and learning.Building a structured approach to daily life enhances mindfulness and productivity.Creating a positive company culture fosters employee growth and satisfaction.Financial independence is not the only goal; making a meaningful impact matters more.Self-improvement is a continuous journey that influences both personal and professional life.The importance of surrounding oneself with like-minded individuals to foster growth and motivation.Text Adam w/ comments or questionsWhenever you are ready, here are 2 ways I can help you: 1. Download my free One-Page Envisioning Exercise to think BIGGER about your life and what's possible for you.​2. My next 8-week small group coaching program starts in September and space is limited. The first group SOLD OUT If you're at or nearing FI and finally ready to start living the next chapter of your life let's chat!​ At the end of my 8 Week FIRE Starter small group program you will: Have a clear BIG vision for the next chapter of your life Specific and tangible ways you've started living that vision If you're ready to get clear on your BIG vision for your next chapter ​Book a no-pressure curiosity call​ with me....

In this interview, we get into the intricacies of Google UAC strategies for iOS apps post Apple's introduction of App Tracking Transparency (ATT). We are joined by ex-googler and founder of CandidConsulting LLC, Ashley Black. Ashley will describe, in detail, Google's initial response to ATT and talk about modeled conversions. We will also uncover the challenges and limitations Google faces with iOS ad inventory, particularly the inability to prompt for ATT in browsers and the significant enhancements brought, including web-to-app tracking. You will discover: - Effective tips on iOS campaigns with Google UAC - The impact of the YouTube app implementing ATT - Tackle tracking limitations on iOS Learn More: https://www.linkedin.com/in/ashleym-black/ https://www.candidconsultinggroup.com App Audits: https://apps.apple.com/us/app/talk-or-not-mystery-fun-chat/id925631318 https://play.google.com/store/apps/details?id=com.MohdNazir.WordGather&pcampaignid=web_share You can also watch the video: https://youtube.com/live/0p7h1JIR4yw Work with us to grow your apps faster & cheaper: http://www.appmasters.com/ ********************************************* SPONSORS Are you aiming to make your messaging more unique? Elevate your communication with Phoji custom emojis. Designed from authentic content, our custom emojis convey genuine emotions and meanings. Whether it's for individual chats or mass communication, Phoji SaaS seamlessly integrates across all platforms. ********************************************* Follow us: YouTube: ⁠AppMasters.com/YouTube⁠ Instagram: ⁠@App Masters Twitter: ⁠@App Masters TikTok: ⁠@stevepyoung⁠ Facebook: ⁠App Masters⁠ *********************************************

Redis is an in-memory database that can be used for caching, vector search, and as a message broker. Brian Sam-Bodden is a Senior Applied AI Engineer at Redis. He joins the show to talk about his work and AI at the company. Sean's been an academic, startup founder, and Googler. He has published works covering The post AI at Redis with Brian Sam-Bodden appeared first on Software Engineering Daily.

Claudia, an ex-Googler, model, self-made millionaire, 1st Gen American, and co-host of the It's Giving Rich Podcast, opens up about her experience with corporate burnout. Explore her story of navigating career hurdles, including walking away from the mountain top to take a sabbatical in order to rejuvenate her outlook on life, career, and personal development. Learn about the importance of taking breaks, mastering networking, finding job opportunities, dealing with rejection, work culture, and managing stress.

In this week's edition of the ABCD Roundup, we dive into new AI benchmarks, including Anthropic's Claude 3.5 Sonnet's outpacing of GPT-4 and Groq's first Language Processing Unit (LPU) that is designed to provide efficiency and scalability comparable to the specialized chip designs of behemoth, Nvidia. In the world of blockchain, we cover the early impact of the Runes protocol on the Bitcoin network and the significant market impacts of the upcoming Mt. Gox repayments. Finally, we explore Europe's surge in public funding for quantum technologies. Remember to Stay Current! To learn more, visit us on the web at https://www.morgancreekcap.com/morgan-creek-digital. To speak to a member of our team or sign up for other content, please email mcdigital@morgancreekcap.com

In this episode of the Duct Tape Marketing Podcast, I interviewed Dr. Frederik Pferdt, the first Chief Innovation Evangelist at Google and a renowned expert on innovation and creativity. Frederik Pferdt helped shape one of the most fabled creative cultures in the world. He founded Google's Innovation Lab, where he trained tens of thousands of Googlers to develop and experiment with cutting-edge ideas and taught ground-breaking classes on innovation and creativity at Stanford University for more than a decade. He has also worked with dozens of international government agencies, organizations, and businesses ranging from the United Nations to NASA to the NBA. His work has been highlighted in Fast Company, Harvard Business Manager, Der Spiegel, and BBC news, among many other media outlets. Dr. Pferdt shares his insights on how not just optimism but radical optimism can transform our relationship with the future, helping us create a world we want to live in.   Key Takeaways The key to thriving in an uncertain world lies in embracing radical optimism. He explains that radical optimism is about more than just seeing the glass as half full; it's about looking for ways to fill the glass even further. By shifting our perspective (state of mind) to focus on possibilities and opportunities, we can transform challenges into chances for growth. Dr. Pferdt emphasizes the importance of changing our mindset to a "mind state" – a fluid, adaptable approach to thinking that can be adjusted based on immediate circumstances. This helps individuals become more resilient and proactive in the face of change, rather than being overwhelmed by it. He also highlights the role of compulsive curiosity in driving business innovation and personal growth. By continuously questioning and seeking to learn more about the world around us, we can stay ahead of changes and better prepare for the future. This curiosity, paired with unreserved openness to new ideas and experiences, can lead to unexpected and rewarding opportunities. In this episode, Dr. Pferdt offers practical advice on how to cultivate radical optimism and develop a future-ready mindset. He shares personal stories and examples from his work at Google and Stanford University, illustrating how these concepts can be applied in real-world scenarios to achieve remarkable results. Dr. Pferdt's insights provide valuable guidance for anyone looking to gain freedom from the fear of the future and thrive in an ever-changing world. By adopting a proactive approach to the future, we can create a future we desire, rather than waiting passively for it to unfold. More About Frederik Pferdt: Connect with Frederik Pferdt on LinkedIn - linkedin.com/in/fgpferdt/ Visit his Website  - linkedin.com/in/fgpferdt/ Grab a copy of What's Next Is Now: How to Live Future Ready -amzn.to/4bF8xRH Rate, Review, & Follow on Apple Podcasts If you liked this episode please consider rating and reviewing the show. Click here - https://podcasts.apple.com/us/podcast/the-duct-tape-marketing-podcast/id78797836 scroll to the bottom, tap to rate with five stars, and select “Write a Review.” Then be sure to let me know what you loved most about the episode. Connect with John Jantsch on LinkedIn - linkedin.com/in/ducttapemarketing/ Stuck trying to figure out your marketing strategy? Get Your Free AI Prompts To Build A Marketing Strategy HERE - dtm.world/freeprompts

Newton Cheng is the Director of Health + Performance at Google. He's a husband, a dad, and a champion powerlifter. From all appearances, he was doing great. Even better than great! But he was privately struggling with depression and burnout. It took his decision one day to take off his mask and openly talk about his struggles to set him on a course of getting better, but also pave the way for many other Googlers to step out of the shadows in search of solace and help.

Part one of Red Eye Radio with Eric Harley and Gary McNamara includes a new poll that shows Massachusetts voters believe migrants/immigration is the top issue. An Associated Press NORC poll shows 1 in 3 voters say Trump acted illegally in hush money case. As Caitlin Clark's WNBA salary is debated, President Biden says women in sports are not paid what they deserve. Democrats want the Mayorkas impeachment buried because they can't win the border issue. House Committee on Homeland Security Chairman Mark Green speaks about the articles of impeachment against Mayorkas. German Transport Minister received backlash after threatening to ban weekend driving because of climate law. Googlers against genocide in Gaza lead protest at their employer Google. Singer John Mellenamp heckled by audience after he pauses concert to promote Biden.  For more talk on the issues that matter to you, listen on radio stations across America Monday-Friday 12am-5am CT (1am-6am ET and 10pm-3am PT), download the RED EYE RADIO SHOW app, asking your smart speaker, or listening at RedEyeRadioShow.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

Are you curious how businesses can thrive in the rapidly evolving landscape of cloud computing and multi-cloud environments? In the upcoming episode of Tech Talks Daily, we're diving into the world of resilient databases with Spencer Kimball, CEO of Cockroach Labs. Spencer will share insights on CockroachDB, a pioneering technology designed to ensure business continuity even during outages that would cripple traditional databases. In our discussion, we'll explore how CockroachDB's ability to replicate data across regions and cloud providers maximizes uptime and facilitates massive scaling. We'll discuss the strategic importance of data locality in improving performance and complying with regulatory demands. We'll also discuss how CockroachDB's flexible architecture helps businesses avoid vendor lock-in and seamlessly manage data across multiple clouds. Originally founded by three former Googlers, Cockroach Labs has become a key player in the database market, challenging giants like Oracle and cloud provider databases. With high-profile users like Netflix, Bose, and Comcast, CockroachDB stands out for its robust data replication capabilities and distributed architecture, which were once confined to single data centers. Join me as Spencer elucidates on the evolution of Cockroach Labs in the competitive database market, the growing trend towards multi-cloud strategies among large enterprises, and the future of cloud portability. How is CockroachDB enabling companies to build above the cloud and avoid restrictive vendor lock-ins? As businesses continue to navigate the complexities of digital transformation, understanding the tools and technologies that facilitate this shift is more important than ever. What challenges and opportunities do you think lie ahead in the journey toward multi-cloud adoption? Please share your thoughts with us after the episode.

Snowflake is one of the most prominent platforms for interacting with data and building data-intensive applications. Dan Myers works in Developer Relations at Snowflake and he joins the show to talk about the future of application development, and building native data apps on the platform. Sean's been an academic, startup founder, and Googler. He has The post Data Applications on Snowflake with Daniel Myers appeared first on Software Engineering Daily.