Podcasts about Mendel

Mendel here with an exciting announcement:I'm producing a new video podcast for a local environmental advocacy organization: the False Creek Friends Society.False Creek, as the name suggests, is not a creek. It's a tidal slough, and it's one of the most visible waterways here in Vancouver, where I live. It's right next to downtown, and it's always bustling with life. It also has a reputation for being highly polluted, thanks to bygone industry and present day civic infrastructure. Despite that, a recent bioblitz survey revealed that it's home to more than 500 different species.The goal of the False Creek Friends Society is to see this waterway become a focal point of healing the intersection of ecology and urban society, and have it serve as a living lab for us to better understand our relationship with these waters. More specifically, the proposal is for False Creek to be designated as Canada's first Urban Marine Park, with Indigenous co-governance, under the 30 x 30 conservation goals.Of course, getting there is going to take work, and a lot of learning — lessons which I think will be relevant not just for me and my neighbours, but anybody living near water. The story of False Creek's future is about public health, climate resilience, Indigenous reconciliation, more-than-human beings, and environmental justice. Because after all, we're all waterbodies. If you're as excited about this project as I am, you can learn more and get involved at falsecreekfriends.orgWaterbodies is recorded on location on False Creek. The first episodes will arrive this September, but the trailer is out now. So I hope you'll get subscribed to the Waterbodies feed anywhere — YouTube, Spotify, Apple Podcasts, etcetera. Here's the video trailer.(Just in case you were wondering, Future Ecologies is not going away. But it's also still not sustainable as a full time job for me or anyone else. If you want, you can help us out at Patreon.com/futureecologies, but in the meantime I think this makes for a pretty cool balance.)

Send us a textIn this episode of Healthcare Trailblazers, host Mendel sits down with Gabby Lawrence, Senior Director of Clinical Solutioning at TytoCare. TytoCare offers the Home Smart Clinic - for accessible, high-quality primary care from home, with no compromises, featuring artificial-intelligence-powered features to enable its telehealth platform to perform diagnostic capabilities. Gabby, an epidemiologist by background, explains how TytoCare's FDA-cleared handheld device with modular attachments transforms virtual healthcare by enabling comprehensive physical exams from home. The conversation covers TytoCare's evolution from urgent care applications into chronic disease management and primary care, their AI-powered wheeze detection capabilities, and strategic partnerships with major health systems like Atrium, Advocate, and Memorial Care. They explore the meaning behind "clinical solutioning" versus traditional clinical solutions, the challenges of B2B versus B2C models, and the company's vision for integrating GenAI to enhance physician capabilities while maintaining human oversight in patient care.

Zach and Carl chat with Mendel Kurland, sharing stories of resilience, reinvention, and the human side of tech, wrapping it all in laughs and life lessons.

Nels and Vincent review the properties of Mendel's pea genes through the lens of modern genetic analysis. Hosts: Nels Elde and Vincent Racaniello Subscribe (free): Apple Podcasts, RSS, email Become a patron of TWiEVO Links for this episode Join the MicrobeTV Discord server Insights into Mendel's pea genes (Nature) Timestamps by Jolene Science Picks Nels – Evolution related game Vincent – Should Unvaccinated Patients Get Organ Transplants? Ethicist Weighs In Music on TWiEVO is performed by Trampled by Turtles Send your evolution questions and comments to twievo@microbe.tv

A beautiful dancer named Dove. Lou Mendel was madley in love. Mendel was her big brother, who wanted no other...and you can let George finish the limerick.

Send us a textReggie, whose real name is Mendel Richter, is a Chabad bochur (yeshiva student) known for his engaging and humorous approach to sharing Torah teachings. During his time on shlichus (Jewish outreach) in Singapore, he began creating short comedic videos inspired by the weekly Parsha, aiming to make Jewish wisdom accessible and entertaining. These “Torah Shorts” blend humor with meaningful insights, resonating with audiences seeking a light-hearted yet profound connection to their heritage.https://www.instagram.com/reggie_torahshorts?igsh=MXRyOGkybG5pZzZqMA==https://link.me/reggie_torahshortsFor more Brainstorm go to...Spotify: https://open.spotify.com/show/2aPCiuzsIoNKYt5jjv7RFT?si=67dfa56d4e764ee0Apple Podcasts: https://podcasts.apple.com/us/podcast/brainstorm-with-sony-perlman/id1596925257Youtube: https://www.youtube.com/@brainstormwithsonyInstagram: https://www.instagram.com/brainstormwithsony

Casar com o primo faz mal? Separe trinta minutinhos do seu dia e descubra, com Mila Massuda, como a endogamia pode afetar a saúde de pessoas, plantas, animais e até de espécies inteiras. Do queixo dos Habsburgos aos filhos de Darwin, passando pelas ervilhas de Mendel, esse episódio mostra por que cruzar com quem é aparentado pode não ser uma boa ideia e o que a genética tem a ver com tudo isso.Apresentação: Mila Massuda (@milamassuda)Roteiro: Mila Massuda (@milamassuda) e Emilio Garcia (@emilioblablalogia)Revisão de Roteiro: Vee Almeida e Caio de Santis (@caiodesantis)Técnica de Gravação: Julianna Harsche (@juvisharsche)Editora: Lilian Correa (@_lilianleme)Mixagem e Masterização: Rafael de Falco (@rafel.falco) Produção: Prof. Vítor Soares (@profvitorsoares), Matheus Herédia (@Matheus_Heredia), BláBláLogia (@blablalogia), Caio de Santis (@caiodesantis) e Biologia em Meia Hora (@biologiaemmeiahora)Gravado e editado nos estúdios TocaCast, do grupo Tocalivros (@tocalivros)REFERÊNCIASBITTLES, A. H. The bases of Western attitudes to consanguineous marriage. Developmental Medicine & Child Neurology, v. 45, p. 135–138, 2003.BITTLES, A. H.; BLACK, M. L. Consanguinity, human evolution, and complex diseases. Proceedings of the National Academy of Sciences, v. 107, supl. 1, p. 1779–1786, 2010. Disponível em: https://doi.org/10.1073/pnas.0906079106. Acesso em: 8 abr. 2025.BOUCHER, A. ‘But You Know There's a Cousin': Endogamous Marriage in Sensation Fiction. In: Science, Medicine, and Aristocratic Lineage in Victorian Popular Fiction. Cham: Palgrave Macmillan, 2023. Disponível em: https://doi.org/10.1007/978-3-031-41141-0_4. Acesso em: 8 abr. 2025.CHARLESWORTH, D.; WILLIS, J. H. The genetics of inbreeding depression. Nature Reviews Genetics, v. 10, n. 11, p. 783–796, 2009. Disponível em: https://doi.org/10.1038/nrg2664. Acesso em: 8 abr. 2025.DARWIN, C. On the Various Contrivances by Which British and Foreign Orchids Are Fertilized by Insects, and on the Good Effects of Intercrossing. London: John Murray, 1862. p. 359–360.DARWIN, C. The Effects of Cross and Self-Fertilization in the Vegetable Kingdom. London: John Murray, 1876. p. 460–461.DARWIN, G. H. Marriages between first cousins in England and Wales and their effects. Journal of the Statistical Society, v. 38, p. 153–184, 1875.KELLER, L. F.; WALLER, D. M. Inbreeding effects in wild populations. Trends in Ecology & Evolution, v. 17, n. 5, p. 230–241, 2002. Disponível em: https://doi.org/10.1016/S0169-5347(02)02489-8. Acesso em: 8 abr. 2025.OTTENHEIMER, M. Forbidden Relatives: The American Myth of Cousin Marriage. Urbana: University of Illinois Press, 1996.

durée : 00:04:54 - Avec sciences - par : Alexandra Delbot - Près de 160 ans après ses travaux fondateurs, une nouvelle étude identifie les trois derniers gènes manquants parmi ceux observés par le père de la génétique, Gregor Mendel. Elle apporte aussi des éclairages sur d'autres caractères agronomiques intéressants.

Scott Kerr is joined by world-famous fashion designer Gilles Mendel, who recently launched a new business venture House of Gilles, a couture atelier he founded along with his daughter Chloe Mendel Corgan. Gilles discusses the next chapter of the family-run house and how its offerings are bringing the essence of a Parisian atelier to New York City. He also talks about the rise of young couture clientele and their new expectations, why there has been a greater appreciation for artisans, why couture defies the economic climate, and designing costumes for New York City Ballet dancers. Plus: A new couture bridal footwear collaboration with CasadeiFeaturing: Gilles Mendel, Fashion Designer and Co-Founder of House of Gilles (houseofgilles.com)Host: Scott Kerr, Founder & President of Silvertone ConsultingAbout The Luxury Item podcast: It's a podcast on the business of luxury and the people and companies that are shaping the future of the luxury industry.Stay Connected: scott@silvertoneconsulting.comListen and subscribe to The Luxury Item wherever you get your podcasts. Tell a friend or a colleague!

SHOW NOTES: https://jewishbooks.blogspot.com/2025/05/mendel-mess-up.html  TRANSCRIPT: https://otter.ai/u/MYzjopAD_3R8aSnpGTydMmKNjv4?utm_source=copy_url Terry LaBan is an alternative cartoonist, a graphic recorder (we'll talk about what that means later), and now he's written his first graphic novel, called Mendel the Mess Up. I'm going to borrow the description from the starred review in Publishers Weekly. They said "Put Fiddler on the Roof and A Funny Thing Happened on the Way to the Forum in a blender, add a jigger or two of Seinfeld, and the result is this boisterous and affirming graphic novel." Doesn't that sound amazing? LEARN MORE: Buy or borrow Mendel the Mess-Up Terry LaBan's author website and graphic recording website Terry's Tikkun Olam suggestion: support HIAS, the Hebrew Immigrant Aid Society Get bonus content for this episode on Substack Terry's reading recommendations: o The Story of the Jews: A 4000 Year Adventure by Stan Mack o A Minyan Yidn (A Bunch of Jews) by Trina Robbins o Anything by Leela Korman o Hereville series by Barry Deutsch CREDITS: Produced by Feldman Children's Library at Congregation B'nai Israel Co-sponsored by the Association of Jewish Libraries Sister podcast: Nice Jewish Books Theme Music: The Freilachmakers Klezmer String Band Newsletter: bookoflifepodcast.substack.com Facebook Discussion Group: Jewish Kidlit Mavens Facebook Page: Facebook.com/bookoflifepodcast Instagram: @bookoflifepodcast Support the Podcast: Shop or Donate Your feedback is welcome! Please write to bookoflifepodcast@gmail.com or leave a voicemail at 561-206-2473.

In this episode:00:46 What will be left of US science after Trump 2.0?100 days into his term, President Donald Trump and his administration have already caused the biggest shakeup in modern scientific history, slashing funding, bringing large swathes of US research to a standstill and halting many clinical trials. But many fear these actions are just the beginning. We look at what the long-term impacts of these decisions might be for science in the United States and the world.Nature: Will US science survive Trump 2.0?13:42 Research HighlightsA distant planet that orbits two stars, at a right angle, and how fringe-lipped bats' hearing helps them find palatable amphibians.Research Highlight: ‘Tatooine'-like planet orbits two stars ― but at a weird angleResearch Highlight: For these bats, eavesdropping is a valuable learnt skill16:07 Briefing ChatThe first skeletal evidence from bones that Roman gladiators fought lions, and scientists finally pinpoint the genes responsible for three of the pea traits studied by Gregor Mendel.BBC News: Bites on gladiator bones prove combat with lionNature: Century-old genetics mystery of Mendel's peas finally solvedSubscribe to Nature Briefing, an unmissable daily round-up of science news, opinion and analysis free in your inbox every weekday. Hosted on Acast. See acast.com/privacy for more information.

Die Themen in den Wissensnachrichten: +++ Fleischfressende Raupe sammelt "Knochen" +++ Endlich alle Gene von Mendels Erbsen entschlüsselt +++ Small Talk bei jungen Deutschen zunehmend unbeliebt +++**********Weiterführende Quellen zu dieser Folge:Hawaiian caterpillar patrols spiderwebs camouflaged in insect prey's body parts, Science, 24.04.2025Genomic and genetic insights into Mendel's pea genes, Nature, 23.04.2025Emergence and interstate spread of highly pathogenic avian influenza A(H5N1) in dairy cattle in the United States, Science, 25.04.2025Where is my mind? A neurocognitive investigation of mind blanking, Trends in Cognitive Sciences, 24.04.2025Schützen Religionen Klima und Natur?, Deutschlandfunk Nova, Update Erde, 25.04.2025**********Ihr könnt uns auch auf diesen Kanälen folgen: TikTok und Instagram .

First up on the podcast, bringing Gregor Mendel's peas into the 21st century. Back in the 19th century Mendel, a friar and naturalist, tracked traits in peas such as flower color and shape over many generations. He used these observations to identify basic concepts about inheritance such as recessive and dominant traits. Staff Writer Erik Stokstad talks with host Sarah Crespi about the difficulty of identifying genes for these phenotypes all these years later. We also hear some other stories from the plant world, including evidence that wavy fields are more attractive to insects and a tree benefits from being struck by lightning.   Next on the show, a carnivorous caterpillar that haunts spiderwebs, camouflaged in its insect prey's body parts. Producer Kevin McLean talks with Daniel Rubinoff, a professor in the department of plant and environmental protection sciences at the University of Hawaii at Manoa, about how such an adaptation might have evolved and the overlooked importance of insect conservation.    Finally, we kick off our 2025 books series on the science of death and dying. Books host Angela Saini and books editor Valerie Thompson talk about the challenges of putting this year's list together and the reads they are looking forward to.   This week's episode was produced with help from Podigy.   About the Science Podcast   Authors: Sarah Crespi; Erik Stokstad; Kevin McLean; Valerie Thompson; Angela Saini  Learn more about your ad choices. Visit megaphone.fm/adchoices

First up on the podcast, bringing Gregor Mendel's peas into the 21st century. Back in the 19th century Mendel, a friar and naturalist, tracked traits in peas such as flower color and shape over many generations. He used these observations to identify basic concepts about inheritance such as recessive and dominant traits. Staff Writer Erik Stokstad talks with host Sarah Crespi about the difficulty of identifying genes for these phenotypes all these years later. We also hear some other stories from the plant world, including evidence that wavy fields are more attractive to insects and a tree benefits from being struck by lightning.   Next on the show, a carnivorous caterpillar that haunts spiderwebs, camouflaged in its insect prey's body parts. Producer Kevin McLean talks with Daniel Rubinoff, a professor in the department of plant and environmental protection sciences at the University of Hawaii at Manoa, about how such an adaptation might have evolved and the overlooked importance of insect conservation.    Finally, we kick off our 2025 books series on the science of death and dying. Books host Angela Saini and books editor Valerie Thompson talk about the challenges of putting this year's list together and the reads they are looking forward to.   This week's episode was produced with help from Podigy.   About the Science Podcast   Authors: Sarah Crespi; Erik Stokstad; Kevin McLean; Valerie Thompson; Angela Saini  Learn more about your ad choices. Visit megaphone.fm/adchoices

Send us a textThis week on BBQ Radio Network, Andy Groneman and Todd Johns welcome Rabbi Mendel Segal—founder of the world's first Kosher BBQ competition—for a deep dive into the world of Kosher Que. From the basic rules of keeping food Kosher to the creative techniques used at the smoker, Rabbi Segal shares how pitmasters balance tradition, taste, and Torah. We also explore the unique challenges of keeping BBQ Kosher, both in the backyard and in competition.In our BBQ&A segment, John from Andover, MA asks for cleaning tips for his Pit Boss vertical smoker after a snowy New England winter. Todd and Andy lay out the best ways to prep your electric smoker for the season ahead.Also on this episode:Product Spotlight: KC Burnt Ends Flavor Kit from ATBBQ.comMax Good from AmazingRibs.com breaks down the latest gear from this year's HPBExpoShoutout to The Smoke Sheet — your insider's guide to BBQ news, trends, and more at BBQNewsletter.comBrought to you by BBQr's Delight 100% All-Natural Wood Pellets.Be sure to follow, like, and subscribe on Facebook, Instagram, and wherever you get your podcasts.Have a question for the show? Email us at BBQRadioNetwork@gmail.com — your question (and shirt size) might just get a shoutout.Next Week: Bobby Oliver from Twisted Oliver BBQ joins us for an Easter Eats special.www.bbqrsdelight.com www.yodersmokers.com www.bbqradionetwork.com www.holsteinmfg.com www.atbbq.com www.plowboysbbq.com www.smokeonwheels.com

THIS IS A PLACE WHERE SUCCESS MEETS SERENITY.I am Aleksandra Vancevska, gestalt therapeutic counsellor and UKCP student therapist. I support you to transform overachieving burnout, stress, perfectionism and stuckness into fulfilling self-confidence and authentic success.To start therapy with me schedule a free consultation: https://calendly.com/aleksandra-vanchevskaIf you like what you hear please share, like and subscribe so these stories can reach more people.⁠To support the channel make your donation here: https://gofund.me/99e09b6b

En este nuevo encuentro en el café de Mendel, ⁠⁠⁠⁠José Carlos Rodrigo⁠⁠⁠⁠ y ⁠⁠⁠⁠Jan Arimany⁠⁠⁠⁠ hablan de sus proyectos actuales, sus últimas lecturas y de la polémica de «El odio», de Luisgé Martín. Seas de café solo o de los que se alargan describiendo todos los ingredientes añadidos que desean, ¡no te olvides de acompañarlo con una buena lectura!

Mary welcomes back Creation Scientist/Apologist Russ Miller to talk about a variety of topics. What is science? And is there a difference between true science and Darwinian conjecture? Those who worship at the altar of man's knowledge are becoming more and more vocal toward Christians who say that without God there IS no science; and yet they believe that Christianity is merely blind faith. Many great men of faith throughout the centuries were those who made the greatest discoveries to benefit mankind - and they knew that science WAS designed by God. Copernicus, Galileo, Mendel, Faraday, Kepler - all these men discovered great scientific principles that the world leans on today, and yet few know they were believers. We also discuss micro vs macro evolution, and operational verses historical science. And what about our kids? We have been told for many years they are leaving the church in droves, we probably can pinpoint the why, but - isn't anyone heeding the warnings? Parents, Pastors? Why does this remain so? Russ is a man who loves his calling and it always shows, a delightful hour with a premier Creation apologist.   Stand Up For The Truth Videos: https://rumble.com/user/CTRNOnline & https://www.youtube.com/channel/UCgQQSvKiMcglId7oGc5c46A

En Radioficción, desde el Teatro Luis del Olmo, hacemos junto a Sergio del Molino una entrevista a Mendel Singer, protagonista de los libros del aclamado autor Joseph Roth.

En Radioficción, desde el Teatro Luis del Olmo, representamos una adaptación de "Job", novela célebre del autor Joseph Roth, sobre la vida de Mendel Singer.

Tanto genio que no se graduó de nada y tu creyendo que necesitas un título, si tu eres Mendel vale, tú eres... Elon Jobs. En resumen repasamos la historia de gente que cambió el mundo sin haberse graduado de nada y la estupidez de pensar que para hacerlo, en sus áreas específicas, existían títulos disponibles. PUEDES PEDIR QUE TE REGALEN HASTA UN AÑO DE SUSCRIPCIÓN AL PATREON A ESA PERSONA QUE TIENE TARJETA O REGALARSELO A ESA PERSONA SIN TARJETA PERO CON BUEN GUSTO ⬇️🎁⬇️🎁⬇️🎁⬇️🎁⬇️🎁⬇️🎁⬇️🎁⬇️🎁 https://www.patreon.com/profesorbriceno/gift ⬆️🎁⬆️🎁⬆️🎁⬆️🎁⬆️🎁⬆️🎁⬆️🎁⬆️🎁 🔹 EPISODIO COMPLETO Y PARTICIPACION EN VIVO EN 💻https://www.patreon.com/profesorbriceno 🔸 Las Grabaciones pueden verse en vivo en TWITCH 🖥️https://www.twitch.tv/profesorbriceno SUSCRÍBETE AL PODCAST POR AUDIO EN CUALQUIER PLATAFORMA ⬇️  AQUÍ LAS ENCUENTRAS TODAS: ➡️➡️➡️ https://pod.link/676871115 los más populares 🎧 SPOTIFY ⬇️   https://open.spotify.com/show/3rFE3ZP8OXMLUEN448Ne5i?si=1cec891caf6c4e03 🎧 APPLE PODCASTS ⬇️   https://podcasts.apple.com/es/podcast/que-se-vayan-todos/id676871115 🎧 GOOGLE PODCASTS ⬇️   https://www.ivoox.com/en/podcast-que-se-vayan-todos_sq_f11549_1.html 🎧 FEED PARA CUALQUIER APP DE PODCASTS ⬇️   https://www.ivoox.com/en/podcast-que-se-vayan-todos_sq_f11549_1.html Si te gustó, activa la campanita 🔔 🎭  FECHAS DE PRESENTACIONES ⬇ ️ http://www.profesorbriceno.com/tour Redes sociales: ✏️Web https://www.profesorbriceno.com ✏️Instagram https://www.instagram.com/profesorbriceno/ ✏️Twitter https://www.twitter.com/profesorbriceno ✏️Facebook https://www.facebook.com/profesorbricenoOficial/ SOLO PARA SUSCRIPTORES, CONTENIDO HUMORÍSTICO NO APTO PARA MENORES NI ESPÍRITUS SENSIBLES, PROHIBIDA SU REPRODUCCIÓN. #geniosinlampara #profesorbriceño #educación #historia #humor #genios

Mendel the Messenger finally got married. What took him so long? (Special appearance by Nancy Sullivan.) From "Tales of The Wise Fools of Chelm," available on Amazon.com in paperback and Kindle. https://amzn.to/3VpWj7y

Dönüm Noktası'nın yeni bölümünde Umutcan Savcı'nın konuğu; Mendel's, Lokmata, Pasta Sanatı, Döner Records gibi gastronomi markalarının kurucusu Atahan Yersel. Umutcan ve Atahan, bu bölümde gastronomi girişimciliğini, devamlılığın ve sürdürülebilirliğin oldukça zor olduğu restoran sektörünün dinamiklerini ve günümüzde bir marka yaratırken pazarlamanın artan önemini konuşuyorlar. Learn more about your ad choices. Visit megaphone.fm/adchoices

Send us a textIn this episode of From The Inside Out Podcast with Rivkah and Eda, Rabbi Mendel Kalmenson, author of Positivity Bias, A Time to Heal, and On Purpose, explores the deeper meaning of positivity and purpose through the lens of the Lubavitcher Rebbe's teachings. Drawing from his extensive study of the Rebbe's wisdom, Rabbi Kalmenson challenges the common notion that positivity is naïve, reframing it instead as positive theology—a perspective that reveals the deeper truth of reality rather than just a mindset shift.He shares powerful insights on overcoming negativity bias, finding meaning in life's struggles, and discovering one's unique purpose. He explains how our talents, passions, personality traits, and even our greatest challenges are clues to our mission in this world. Through compelling stories and real-life examples, he illustrates how personal hardships can lead to transformation, how we can shift from survival mode to thriving, and why the Rebbe's teachings are more relevant today than ever.Rabbi Kalmenson's work is rooted in his deep exploration of the Rebbe's guidance, distilling its profound messages into practical wisdom for today's world. Whether discussing healing, resilience, or personal growth, he brings to life the Rebbe's perspective on how every individual has a vital role to play in the grand purpose of creation.→ Watch the full episode: https://youtu.be/mM5l_ZYi-ug GUEST BIORABBI MENDEL KALMENSON Rabbi Mendel Kalmenson is the rabbi of Beit Baruch and executive director of Chabad of Belgravia, London, where he lives with his wife, Chana, and children.Mendel was an editor at the Judaism Website - Chabad.org, and is also the author of the popular books Seeds of Wisdom, Positivity Bias, A Time to Heal, and most recently: On Purpose: Practical Wisdom for Designing a Life of Purpose.You can find Rabbi Kalmenson at his Facebook page: https://www.facebook.com/profile.php?id=100002923444353COMMUNITYJoin the Community! Connect with us on socials to discuss Episode 101, share insights, and continue the conversations you want to have:

If you're looking to master B2B performance marketing, this episode with Mendel Cohen is packed with insights on how to generate high-quality leads, optimize conversion rates, and leverage AI-driven marketing strategies to scale your business.Mendel Cohen, founder & CEO of Crafted Digital, shares cutting-edge techniques in B2B marketing automation, personalization in B2B marketing, and LinkedIn marketing for B2B to help you stand out in a competitive landscape. Whether you're struggling with email outreach for B2B sales, choosing the best B2B marketing channels, or crafting a B2B digital advertising strategy, this episode provides actionable solutions tailored to your marketing needs.

Mendel Kalmanson joins Eli Nash on In Search of More to explore the balance between inner work and public service. He argues that true self-development isn't just about personal healing but also about using that growth to contribute meaningfully to family, community, and the world. By integrating Jewish values with modern self-improvement, he challenges the idea of self-betterment as an isolated pursuit, emphasizing that fulfillment comes through service and connection. Reflecting on his own journey, Kalmanson discusses overcoming struggles and the role of spirituality in finding purpose. He critiques modern self-help movements for neglecting the communal aspect of growth and urges a shift from individual achievement to collective responsibility. Through stories of resilience and faith, he encourages a path where personal healing fuels a deeper commitment to helping others, ultimately creating a more meaningful and interconnected life.-------------------------------------------------------------------------------------Connect with Eli Website | https://bit.ly/eliyahunashInstagram | https://bit.ly/eliyahu_nashFacebook | http://bit.ly/3h3rFSrYouTube | https://youtube.com/@insearchofmore-------------------------------------------------------------------------------------Subscribe to the In Search of More Podcast: www.youtube.com/@InSearchOfMore?sub_confirmation=1For booking inquiries, email: booking@insearchofmorepodcast.comJoin Our WhatsApp: https://wa.me/message/PBH5QDJQNQ5LJ1-------------------------------------------------------------------------------------Follow us on social mediaFacebook | http://bit.ly/3jr9eYTInstagram | http://bit.ly/3JsvU5ITikTok | http://bit.ly/3XZ60LoTwitter | http://bit.ly/3XNgxsR

„Celou kauzu vyhazovu chápu jako určité privilegium, vyznamenání, zkoušku toho, abych to, co hlásám z kazatelen a co křičím na posluchače na přednáškách o odpuštění, najednou odžil sám ve svém vlastním životě,“ říká biolog, etik, skaut a katolický kněz Marek Orko Vácha. Proč musí jezdit v posledním voze metra? Čím ho inspiruje Mendel? A dá se trénovat odpuštění? Poslechněte si rozhovor.Všechny díly podcastu Host Lucie Výborné můžete pohodlně poslouchat v mobilní aplikaci mujRozhlas pro Android a iOS nebo na webu mujRozhlas.cz.

Send us a textUnlock the secrets of speech audiometry and speech perception with the renowned Dr. Lisa Lucks Mendel. With over 35 years of expertise, Dr. Mendel offers an enlightening exploration into the significance of choosing the right tests for speech perception assessments. Learn why classic tests like NU6 and CIDW22 remain relevant and how full 50-item word lists provide a more authentic reflection of natural speech sounds. Discover the rationale behind shorter word lists and how they can streamline assessment without compromising their purpose.Get ready to unravel the complexities of evaluating speech recognition in challenging auditory environments. The Signal-to-Noise Ratio 50 (SNR-50) test stands as a pivotal tool in understanding hearing loss and the benefits of hearing aids. As we examine the nuances of phoneme-focused scoring, particularly impactful for cochlear implant users, we offer fresh insights into setting realistic expectations for auditory device performance. This episode also delves into the scoring protocols that might just change the way we interpret hearing capabilities.Join us as we compare the efficacy of modern MP3 recordings against traditional monitored live voice (MLV) in audiometric testing. Uncover the surprising findings from our student-led research and the implications for clinical practice moving forward. As we advocate for standardized methods in speech and noise assessments, Dr. Mendel reflects on the historical recommendations that still resonate today. This episode promises a comprehensive look at enhancing real-world hearing evaluations, leaving our listeners informed and inspired by Dr. Mendel's invaluable contributions. Connect with the Hearing Matters Podcast TeamEmail: hearingmatterspodcast@gmail.com Instagram: @hearing_matters_podcast Twitter: @hearing_mattasFacebook: Hearing Matters Podcast

Send us a textA profound Chassidic Thought with multiple layers of meaning.But bottom line: It doesn't matter if you're right, look deeper.Support the show

Send us a textThis episode is sponsored by CareCo. In an industry desperate for efficiency, we're helping care teams manage 40% more patients while cutting costs by 28%. The math works. Learn more: careco.aiIn this episode of the Healthcare Trailblazers podcast, Mendel and Josh Liu discuss the challenges and lessons learned in the healthcare startup space. They explore the importance of targeting the right partners, understanding clinical workflows, and validating financial incentives. The conversation emphasizes the significance of building long-term relationships and effective communication in patient care, while also comparing the healthcare systems in Canada and the US. In this conversation, Joshua Liu discusses the evolution of Seamless MD, a digital health platform designed to improve patient outcomes by guiding them through complex healthcare journeys. He shares insights on market dynamics between the US and Canada, the importance of patient engagement, and the strategies that have led to high adoption rates, especially among seniors. The discussion also touches on the challenges of startup growth, the significance of proactive partnerships, and the mindset required for success in entrepreneurship.Chapters00:00 Introduction to Healthcare Trailblazers Podcast02:03 Learning from Sales Mistakes in Healthcare04:29 Identifying the Right Partners in Healthcare07:01 Understanding Clinical Workflows09:52 The Importance of Financial Validation12:36 Building Long-Term Relationships in Healthcare15:00 The Role of Communication in Patient Care17:59 Comparing Healthcare Systems: Canada vs. US24:59 Navigating Market Dynamics: US vs Canada27:20 Understanding Seamless MD: A Patient Journey GPS29:29 Adoption Rates in Digital Health: Insights on Seniors32:10 Proactive Partnerships: Driving Engagement and Outcomes36:18 Reflections on Startup Growth: Expectations vs Reality40:51 The Power of Perseverance: Inputs Over Expectations48:04 Building for Passion: Understanding Market Fit

We're unlocking one of the conversations from our bonus feed.In this interview, building on episode FE6.2, Mendel speaks with Skye Augustine, a leading voice uplifting the science, history, and culture of Sea Gardens. In a time where so much of the future feels uncertain, the resiliency of Sea Gardens over millennia is (at least to us) a source of deep comfort and inspiration.What's more, if you're as inspired as we are, and you want to learn how your community could build a clam garden, we've got you covered. Don't miss our conversation with Joseph Williams, Community Shellfish Liaison for the Swinomish Indian Tribal Community, who constructed the first Clam Garden of the modern era — available for free on our Patreon.— — —The Future Ecologies bonus feed is where we release exclusive bits of audio to all of our supporters. There's a whole back catalogue of silly mini episodes, long-form extended interviews with guests from the main feed, and a bunch of entirely new, fascinating conversations you won't hear anywhere else. It's one of the ways we say thanks for helping us make the show — we really can't do it without you.You can get access to the bonus feed (on your podcast app of choice) and more, for less than the price of a cup of coffee at patreon.com/futureecologies or subscribe directly within Apple Podcasts.

En este nuevo encuentro en el café de Mendel, ⁠⁠⁠⁠José Carlos Rodrigo⁠⁠⁠⁠ y ⁠⁠⁠⁠Jan Arimany⁠⁠⁠⁠ hablan de sus proyectos actuales, sus últimas lecturas y, sobre todo, hacen balance del 2024. Seas de café solo o de los que se alargan describiendo todos los ingredientes añadidos que desean, ¡no te olvides de acompañarlo con una buena lectura!

Deux heures de direct à l'écoute de celles et ceux qui font le monde : le raconter, le décrypter et l'analyser pour donner des clés de lecture et de compréhension aux auditeurs.

Artificial Intelligence (AI) is revolutionizing healthcare, and oncology is no exception. In this episode of the Exploring AI in Oncology series, Kristin Maloney, MS, BSN, RN, OCN®, a Certified Oncology Nurse and the Clinical Informatics Lead at Mendel AI, speaks with Dr. Waqas Haque on how AI can address some of the biggest challenges in oncology. She shares more about Mendel's innovative platform, which leverages physician-level cognitive capabilities to enhance data process and improve clinical decision making and patient outcomes. Learn more at: https://oncdata.com/mendel-ai-with-kristin-maloney

Episode # 186: The Chossid Of Reb Mendel Horodoker Who's Body Floated To Eretz Yisroel

This week on CounterSpin: Writing for a DC court of appeals, Douglas Ginsburg said yes, banning the wildly popular platform TikTok does raise concerns about First Amendment freedoms; but it's still good, because in pushing for the ban, the U.S. government “acted solely to protect that freedom from a foreign adversary nation.” If that's clear as mud to you, join the club. We'll get an update on the proposed ban on TikTok — in the service of free speech — from Yanni Chen, policy counsel at the group Free Press. We're all familiar with the “if it bleeds, it leads” credo of, especially but not only, local TV news. But just because we're aware of it, doesn't mean the phenomenon isn't still impacting our lives in negative ways. Richard Mendel is senior research fellow for youth justice at the Sentencing Project. He joins us to talk about new research showing how news media coverage actively harms young people of color, as well as our understanding and policy-making around youth and crime.   The post Yanni Chen on TikTok Ban, Richard Mendel on Youth and Crime appeared first on KPFA.

  Bassist Tom Mendel has had a long and storied career as a bass player. He has been ‘based' (pardon the pun) in Chicago for decades. He's played in the pit for long running shows like ‘Lion King', ‘Wicked', ‘Hamilton', ‘Moulin Rouge', ‘Billy Elliott', ‘Kinky Boots', and many more. But his music has taken him all over the country. He has toured with the likes of Lainie Kazan. He's played club dates with Christine Ebersole, Mandy Gonzalez, Hollis Resnik, to mention just a few. Tom has also recorded extensively, playing hundreds of jingles in Chicago's recording houses. He's also played numerous sessions from Los Angeles to New Orleans to New York. Tom has also been an advocate for union musicians for decades. Much of that work was for those who make their livings playing in the theatre musicians. In fact, he was an early member of the Theatre Musicians Association. He served 7 years as the president of the Chicago chapter, before spending 5 years as the national president of TMA. Tom has also worked on many union committees, negotiating contracts for higher wages and better working conditions with Chicago theatres, as well as for touring musicians. And that's just the tip of the iceberg as far as his work on behalf of performing professionals. But Tom is more than ‘just' a musician. He's also a Master Scuba instructor, a yoga enthusiast, and is not only a proud father, but has recently joined the ranks of his favorite new title: grandpa! Basis for bassist I first met Tom in 1987 when I joined the cast of Chicago's longest running musical up until that time, ‘Pump Boys & Dinettes'. We performed that show together for nearly three years at Chicago's Apollo Theatre. We've been good friends ever since. We know each other's family and have shared the best and worst of those times. Professionally, we've had the good fortune to work together many times over the years. And because the world of pit musicians is not that big, we have a lot of friends and colleagues in common. ‘Bassist Tom Mendel' is just the jumping off point for this conversation. Come check out this friendly chat between two good friends. I think you'll enjoy getting to know this admirable and accomplished man. See more on Instagram. @mendelmusic Chapters (00:00:05) - Introducing Tom Mendel(00:02:14) - Tom Joins In(00:02:44) - Pump Boys, of course(00:10:04) - Louisiana Days

Does banning TokTok threaten First Amendment freedoms? A judge says the government “acted solely to protect that freedom from a foreign adversary nation.”

En este nuevo encuentro en el café de Mendel, ⁠⁠⁠⁠José Carlos Rodrigo⁠⁠⁠⁠ y ⁠⁠⁠⁠Jan Arimany⁠⁠⁠⁠ hablan de sus proyectos actuales, los últimos premios literarios que se han otorgado, así como de lo último que han estado leyendo. Seas de café solo o de los que se alargan describiendo todos los ingredientes añadidos que desean, ¡no te olvides de acompañarlo con una buena lectura!

Rabbi Mendel Kalmenson has authored numerous article and essays on Jewish thought and spirituality for various Jewish publications. He lives in London with his family, where he is the rabbi and executive director of Chabad Belgravia. In this episode he discusses what it's like to be a Chabad rabbi, how the proccess of Shlichus works, reaction to the horrific murder of Rabbi Tzvi Kogan by terrorists in the UAE, and how to heal after tragedy. GIVEAWAY Win a menorah by commenting on this episode on our youtube channel! The menorah will be from Rod and Flame Not a winner? no problem.  Order yours day!  ________________________________________ ►Colel Chabad Pushka App   The easiest way to give Tzedaka download the Pushka app today    https://pushka.cc/meaningful   Get Tickets to Nafshi Here!   https://colelchabad.events/?src=meaningful ________________________________________   ► PZ Deals     Download the PZ Deals app and never pay full price again!   https://app.pz.deals/install/mpp ________________________________________   ►Rothenberg Law Firm   Personal Injury Law Firm For 50+ years!   Reach out Today for Free Case Evaluation   https://shorturl.at/BUnHF   ________________________________________   ►Town Appliance   Visit https://www.townappliance.com    Message Town Appliance on WhatsApp:    https://bit.ly/Townappliance_whatsapp __________________________________   ►JKaraoke   Instant Fun Jewish Karaoke at Home!   Unlimited Access to Stream Thousands of Jewish Karaoke Songs    Mention JKMINUTE for 15% off all Merchandise!   https://jkaraoke.com   __________________________________ ► NRS Pay    NRS Pay is honest, clean credit card processing.   Check out    https://nrspay.com  for more information   __________________________________       ►Toveedo     The Jewish videos your kids will love all in one happy place!      Stream unlimited videos on your phone, tablet, laptop, desktop, and smart TV.    From new releases, to your favorite classics, and exclusive originals, there's always something new to discover.   Use MM10 for 10% off     See our full library on  https://toveedo.com   __________________________________________   ► A Time Trip To Israel raffle   6 Round Trip Ticket and 6 Night Stay in 5 Star Hotel!   Tickets to Enter the Raffle Are Just $54!   Enter Today! http://www.atimeisraeltrip.com   Subscribe to our Podcast      Apple Podcasts: https://apple.co/2WALuE2      Spotify: https://spoti.fi/39bNGnO      Or wherever Podcasts are available!     Editor: Sruly Saftlas

Gregor Mendel was the father of modern genetics. He wrote his most important papers on the topic just a few years after Darwin published the Origin of Species. What people don't realize is that Mendel's papers did not only describe how traits are passed down. He also explained how his ideas of genetics lead directly to an explanation of the origin of species. Was Mendel directly and purposefully contradicting Darwin? Links and notes: Crompton et al. 2024 Mendelian speciation, part 1—what is the abundant source of significant biodiversity, J Creation 37(3):110–120, 2023. Crompton et al. 2024 Mendelian speciation, part 2—latent genetic information, J Creation 38(1):77–86, 2024. Crompton et al. 2024 Mendelian speciation, part 3—fixation and reproductive isolation, J Creation 382):97–104, 2024. Crompton et al. 2024 Mendelian speciation, part 4—adaptive radiations and cis-evolution, J Creation 38(2):105–112, 2024. Gregor Mendel on Wikipedia "They believe in bigger miracles than I do" on YouTube.com Species were designed to change on BiblicalGenetics.com Species were Designed to Change on Creation.com Arguments we think a creationist should not use on creation.com Wort und Wissen

Gregor Mendel was the father of modern genetics. He wrote his most important papers on the topic just a few years after Darwin published the Origin of Species. What people don't realize is that Mendel's papers did not only describe how traits are passed down. He also explained how his ideas of genetics lead directly to an explanation of the origin of species. Was Mendel directly and purposefully contradicting Darwin? Links and notes: Crompton et al. 2024 Mendelian speciation, part 1—what is the abundant source of significant biodiversity, J Creation 37(3):110–120, 2023. Crompton et al. 2024 Mendelian speciation, part 2—latent genetic information, J Creation 38(1):77–86, 2024. Crompton et al. 2024 Mendelian speciation, part 3—fixation and reproductive isolation, J Creation 382):97–104, 2024. Crompton et al. 2024 Mendelian speciation, part 4—adaptive radiations and cis-evolution, J Creation 38(2):105–112, 2024. Gregor Mendel on Wikipedia "They believe in bigger miracles than I do" on YouTube.com Species were designed to change on BiblicalGenetics.com Species were Designed to Change on Creation.com Arguments we think a creationist should not use on creation.com Wort und Wissen

Please visit us at ProjectLikkuteiTorah.com for all resources and partnership opportunities. You may checkout other classes/shiurim below:  Detailed Daf Overview https://www.youtube.com/playlist?list=PL6MVYGlCmyQdkP1Gm2qrCTNKQII5ll990Short Daf Summary https://www.youtube.com/playlist?list=PL6MVYGlCmyQeoYpOa-ZoTGAcmL6NXySgADaily Davening Takeaways https://www.youtube.com/playlist?list=PL6MVYGlCmyQc0UEf32A0S7dZRSFkFUt_c Shir Hashirim https://www.youtube.com/playlist?list=PL6MVYGlCmyQe8SIGGmLmpO0rSHXBS_v6n Guided Hisbonenus https://www.youtube.com/playlist?list=PL6MVYGlCmyQdKNgMW-Itz7a5_9VErsY0f ★ Support this podcast ★

When Gregor Mendel published the results of his experiments on pea plants in 1866 he initiated a fierce debate about the nature of heredity and genetic determinism that continues today. The battle lines were drawn in England in the late 19th century by William Bateson, who believed in fixed genetic inheritance, and W.F.R. Weldon, who argued that Mendel's experiments revealed far more variation than Bateson and his supporters acknowledged. In this episode Lorraine Daston joins Tom to chart the development of these arguments, described in a new book by Gregory Radick, through scientific and cultural discourse over the past 150 years, and consider why the history of science has a tendency to track such controversies in antagonistic terms, often to the detriment of the science itself.Read Lorraine's piece: https://lrb.me/dastonpodSing up to our Close Readings podcast:Directly in Apple Podcasts: https://apple.co/3pJoFPqIn other podcast apps: https://lrb.me/crpod Hosted on Acast. See acast.com/privacy for more information.

Episode: 1273 Some surprises in the 1852 Annual of Scientific Discovery.  Today, an old book takes stock of science and art in 1852.

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

The future of healthcare lies in the seamless integration of AI with human compassion to improve care delivery. In this episode, Mendel Erlenwein, CEO of CareCo and Previva Health Group, shares his journey into entrepreneurship, emphasizing how it's not just about making money but about transforming struggling companies and creating meaningful impact. He discusses the evolution of care coordination, particularly in preventive care, and how AI technology is enhancing care coordinators' roles, allowing them to focus on empathy and compassion while AI handles tedious tasks. Mendel touches on overcoming setbacks, the importance of setting clear expectations, and the value of building strong relationships in business. He also highlights the importance of aligning with one's talents and continuously learning from experiences. Tune in and learn how AI is reshaping healthcare, improving patient outcomes, and creating happier, more fulfilling careers for care coordinators! Resources:  Connect and follow Mendel Erlenwein on LinkedIn. Discover more about Previva Health Group on their LinkedIn and website. Learn more about CareCo on their LinkedIn and explore their website. Listen to the Healthcare Trailblazers podcast here.

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