Podcasts about Zeiler

Listen as Dr. Adeline Goss, Associate Chief of Neurology at Highland Hospital, discusses the groundbreaking potential of psychedelics in neurology with Dr. Steve Zeiler, a Vascular Neurologist and Associate Professor at Johns Hopkins, and Dr. Ghul Dölen, a Professor of Psychology and Neuroscience at UC Berkeley. The conversation explores the newfound excitement surrounding psychedelics like MDMA, LSD, and psilocybin for treating mood disorders like depression and neurologic conditions such as stroke recovery. The experts also delve into research showing psychedelics' ability to reopen critical periods in the brain, potentially revolutionizing therapeutic approaches for a range of neurologic and psychiatric conditions. Series 5, Episode 11 Featuring: Guests: Dr. Steve Zeiler, a Vascular Neurologist and Associate Professor at Johns Hopkins, and Dr. Ghul Dölen, a Professor of Psychology and Neuroscience at UC Berkeley Interviewer: Dr. Adeline Goss, host & executive producer of ANA Investigates and Associate Chief of Neurology at Highland Hospital Disclosures: Dr. Dolen & Zeiler share a patent on their work in psychdelics and rehab. Dr. Zeiler also reports research funding from Harmon and EVER Pharma.

Missionary Brett Zeiler challenges us to reframe our understanding of suffering as followers of Christ, noting that rejoicing in suffering isn't about finding joy in pain, but about finding joy in Jesus amidst our struggles. As we navigate our own challenges, we remember that our sufferings can be purposeful, drawing us closer to Christ and preparing us for His work in our lives and the lives of others.

Voor de zeilers vinden de Olympische Spelen niet in Parijs, maar hemelsbreed 660 kilometer verderop plaats in Marseille. Bjarne Bouwer is één van de elf Team Allianz zeilers die namens TeamNL in actie gaan komen. Hij vaart samen met Laila van der Meer in de Nacra 17 klasse en zullen in de tweede week van de Spelen in actie gaan komen. We blikten met hem vooruit op zijn toernooi. Presentatie: Robert Denneman Foto: Didier Hillaire

In this podcast episode, host Ole Olesen-Bagneux sits down with Gregor Zeiler, daitastack's CEO, and a seasoned data management pioneer. Gregor recounts over 30 years of evolution in the field, from his early days of discovering a passion for data engineering to his role in advancing data democratization and innovative software solutions globally.Throughout their discussion, Gregor delves into the shifting paradigms of data handling—from centralized data warehouses to the empowering data mesh approaches that facilitate decentralized management. He shares insights into the creation and impact of BI tools, ETL technologies, and the revolutionary influence of AI on data strategies.The conversation also explores Gregor's latest endeavors with daitastack, aiming to support specialized software vendors in navigating the complex data management landscape and enhancing their market presence. He further highlights the distinct adoption patterns of data management technologies between Europe and the U.S., emphasizing Europe's leading role in embracing advanced data methodologies.

Huw Williams & Sophie Power - The SheUltra™️ - Episode 69Precision Fuel & Hydration helps athletes personalise their hydration and fueling strategies for training and racing. Use the free Fuel & Hydration Planner to get a personalised race nutrition plan for your next event.Tea And Trails Podcast listeners get 15% off their first order of fuel and electrolytes with Precision Fuel & Hydration. Use this link and the discount will be auto-applied at the checkout.SILVA - In 1933, Björn, Alvar and Arvid Kjellström together with Gunnar Tillander invented the first-ever liquid-filled compass, and their story began. Not only was it the first compass of its kind, but it also set the global standard for how navigation works today. Then, in 1935, we launched our first headlamp – Zeiler – and the SILVA brand was born. https://silvasweden.uk/This week we are joined by Huw Williams & Sophie Power to talk about the inaugural She Ultra! The SheUltra™️ is open to women of all fitness levels. Whether you're a seasoned runner/shewalker or just starting your fitness journey, this is your chance to challenge yourself and achieve something truly amazing, it's an opportunity to prove YOU are strong, determined, and capable of anything. Entries are selling fast so don't delay if you fancy being part of 2025's event. Entries -  https://penllyn.niftyentries.com/SHE-UltraJust Giving - https://www.justgiving.com/crowdfunding/She-Ultra1?utm_term=yyvJyP3ebShe Races - https://www.sheraces.com/Brew with the coaches - Thanks, Trish, Rebecca and Russell!The information in our content is provided as an information resource and is not to be used or relied on for any diagnostic or treatment purposes. This information does not create any patient-physician/doctor relationship, and should not be used as a substitute for professional diagnosis and treatment. Please consult your healthcare provider before making any healthcare decision.Support the Show.YouTube - https://www.youtube.com/@GaryThwaitesAmazon links are affiliate links.Keeping Dry & Staying Warm - https://amzn.to/42JCexqCeleste Yvonne's - https://amzn.to/40FYLK9Fix Your Feet - https://amzn.to/3FE4nf0Gary's BGR Headtorch - https://amzn.to/3DQkoO2Eddie's Spine Race Headtorch - https://amzn.to/40pFXhgROAR - https://amzn.to/3WU7xB2NEXT LEVEL - https://amzn.to/3Hu15LrThe Daily Stoic - https://amzn.to/44qDm9jHellfire Events - https://www.hellfireevents.com/Ultra Trails - https://www.ultratrails.co.uk/Greener Miles - https://greenermilesrunning.co.uk/Dales Runner - https://dalesrunner.co.uk/Hannah Walsh - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/

Carmine De Grandis - 3 Peaks Challenge - Episode 68Precision Fuel & Hydration helps athletes personalise their hydration and fueling strategies for training and racing. Use the free Fuel & Hydration Planner to get a personalised race nutrition plan for your next event.Tea And Trails Podcast listeners get 15% off their first order of fuel and electrolytes with Precision Fuel & Hydration. Use this link and the discount will be auto-applied at the checkout.SILVA - In 1933, Björn, Alvar and Arvid Kjellström together with Gunnar Tillander invented the first-ever liquid-filled compass, and their story began. Not only was it the first compass of its kind, but it also set the global standard for how navigation works today. Then, in 1935, we launched our first headlamp – Zeiler – and the SILVA brand was born. https://silvasweden.uk/Carmine De Grandis joins us this week. A breath of fresh air in our community. We have a catchup and we talk about his 3 Peaks Challenge.21 train changes in 4 days. 3 countries. 1 gravel bike. Paniers weight: 13.6kg. Accordion Bag weight 13.5 to 14 kg. 70% CO2 emissions saving on equivalent 1235 miles car journey. We enjoyed sharing the mic with Carmine. What a guy!Carmine's Instagram -  @outdoorspirit1https://www.justgiving.com/page/carmine-de-grandis-1694865293725?utm_medium=fundraising&utm_content=page%2Fcarmine-de-grandis-1694865293725&utm_source=copyLink&utm_campaign=pfp-shareThanks ScarpaUK, Harvey Maps, Voom Nutrition and SeatoSummit for supporting the Accordion on the Mountains 3 Peaks Challenge.Picture Credits:Ourea EventsNo Limits PhotographySteve Ashworth MediaSpine RaceYouTube Reviewshttps://www.youtube.com/@GaryThwaitesBrew with the coaches - Thanks, Trish, Rebecca and Russell!Brew with the Coaches - https://www.teaandtrails.com/coachesDisclaimerThe information Support the Show.Amazon links are affiliate links.Keeping Dry & Staying Warm - https://amzn.to/42JCexqCeleste Yvonne's Book - https://amzn.to/40FYLK9Fix Your Feet Book - https://amzn.to/3FE4nf0Microphone - https://amzn.to/3huN86KGary's BGR Headtorch - https://amzn.to/3DQkoO2Eddie's Spine Race Headtorch - https://amzn.to/40pFXhgROAR - https://amzn.to/3WU7xB2NEXT LEVEL - https://amzn.to/3Hu15LrThe Daily Stoic Book - https://amzn.to/44qDm9jHellfire Events - https://www.hellfireevents.com/Ultra Trails - https://www.ultratrails.co.uk/Greener Miles Running - https://greenermilesrunning.co.uk/Dales Runner - https://dalesrunner.co.uk/Hannah Walsh Coaching - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/

Gary Thwaites - Manchester Marathon - Episode 67Precision Fuel & Hydration helps athletes personalise their hydration and fueling strategies for training and racing. Use the free Fuel & Hydration Planner to get a personalised race nutrition plan for your next event.Tea And Trails Podcast listeners get 15% off their first order of fuel and electrolytes with Precision Fuel & Hydration. Use this link and the discount will be auto-applied at the checkout.SILVA - In 1933, Björn, Alvar and Arvid Kjellström together with Gunnar Tillander invented the first-ever liquid-filled compass, and their story began. Not only was it the first compass of its kind, but it also set the global standard for how navigation works today. Then, in 1935, we launched our first headlamp – Zeiler – and the SILVA brand was born. https://silvasweden.uk/Trail runner interview, training advice, nutrition advice and kit reviews too. We'll talk about current trail running stories and stories from inspirational people we feel you might be interested in. If you like what we do, then please tell your friends.This week Gary hits the streets of Manchester in search of the London Marathon Good for Age qualifying time. Did the sandbagger do it? Tune in to find out. We have an epic Tales from the Trails, https://www.hellfireevents.com/ supplies the prizes for this week's competition and we find out how Eddie is doing after the SILVA Northern Traverse.YouTube Reviewshttps://www.youtube.com/@GaryThwaitesBrew with the coaches - Thanks, Trish, Rebecca and Russell!Brew with the Coaches - https://www.teaandtrails.com/coachesDisclaimerThe information in our content is provided as an information resource and is not to be used or relied on for any diagnostic or treatment purposes. This information does not create any patient-physician/doctor relationship, and should not be used as a substitute for professional diagnosis and treatment. Please consult your healthcare provider before making any healthcare decisions.Support the showAmazon links are affiliate links.Keeping Dry & Staying Warm - https://amzn.to/42JCexqCeleste Yvonne's Book - https://amzn.to/40FYLK9Fix Your Feet Book - https://amzn.to/3FE4nf0Microphone - https://amzn.to/3huN86KGary's BGR Headtorch - https://amzn.to/3DQkoO2Eddie's Spine Race Headtorch - https://amzn.to/40pFXhgROAR - https://amzn.to/3WU7xB2NEXT LEVEL - https://amzn.to/3Hu15LrThe Daily Stoic Book - https://amzn.to/44qDm9jHellfire Events - https://www.hellfireevents.com/Ultra Trails - https://www.ultratrails.co.uk/Greener Miles Running - https://greenermilesrunning.co.uk/Dales Runner - https://dalesrunner.co.uk/Hannah Walsh Coaching - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/

Edwina Sutton - SILVA Northern Traverse - Episode 66Precision Fuel & Hydration helps athletes personalise their hydration and fueling strategies for training and racing. Use the free Fuel & Hydration Planner to get a personalised race nutrition plan for your next event.Tea And Trails Podcast listeners get 15% off their first order of fuel and electrolytes with Precision Fuel & Hydration. Use this link and the discount will be auto-applied at the checkout.SILVA - In 1933, Björn, Alvar and Arvid Kjellström together with Gunnar Tillander invented the first-ever liquid-filled compass, and their story began. Not only was it the first compass of its kind, but it also set the global standard for how navigation works today. Then, in 1935, we launched our first headlamp – Zeiler – and the SILVA brand was born. https://silvasweden.uk/Trail runner interview, training advice, nutrition advice and kit reviews too. We'll talk about current trail running stories and stories from inspirational people we feel you might be interested in. If you like what we do, then please tell your friends.This week our very own Eddie Sutton shares her SILVA Northern Traverse story. A near 200-mile journey from St Bees on the west coast of England to Robin Hood's Bay on the East coast. A wonderful route taking in Mountains, Dales, Moors. The Vale of York and quite a few miles of bogs!https://www.northerntraverse.com/northern-traverseYouTube Reviewshttps://www.youtube.com/@GaryThwaitesBrew with the coaches - Thanks, Trish, Rebecca and Russell!Brew with the Coaches - https://www.teaandtrails.com/coachesDisclaimerThe information in our content is provided as an information resource and is not to be used or relied on for any diagnostic or treatment purposes. This information does not create any patient-physician/doctor relationship, and should not be used as a substitute for professional diagnosis and treatment. Please consult your healthcare provider before making any healthcare decisions.Support the showAmazon links are affiliate links.Keeping Dry & Staying Warm - https://amzn.to/42JCexqCeleste Yvonne's Book - https://amzn.to/40FYLK9Fix Your Feet Book - https://amzn.to/3FE4nf0Microphone - https://amzn.to/3huN86KGary's BGR Headtorch - https://amzn.to/3DQkoO2Eddie's Spine Race Headtorch - https://amzn.to/40pFXhgROAR - https://amzn.to/3WU7xB2NEXT LEVEL - https://amzn.to/3Hu15LrThe Daily Stoic Book - https://amzn.to/44qDm9jHellfire Events - https://www.hellfireevents.com/Ultra Trails - https://www.ultratrails.co.uk/Greener Miles Running - https://greenermilesrunning.co.uk/Dales Runner - https://dalesrunner.co.uk/Hannah Walsh Coaching - https://www.hannahwalsh.co.uk/Punk Panther - https://www.punkpanther.co.uk/

Heute nehme ich euch mit zum Triathlon.  Genauer gesagt zum Triathlon in meiner Heimatstadt Hagen.  Ist der Triathlon-Hype vorbei? Was macht einen guten Triathlon aus? Wie läuft die Jugendarbeit in einem Verein? Wie viel Arbeit steckt hinter dem Hagener Triathlon? Diese und viele weitere Fragen besprechen Ralf und ich im Podcast.  Wer von euch Bock auf einen Start in der Staffel hat, der meldet sich einfach per E-Mail bei mir.  Schreib mir einfach an hello@pacepresso.de und sag mir, welche Disziplin (Schwimmen, Radfahren, Laufen) du übernehmen willst und ich Match dich mit anderen zu einer Staffel.  Wenn du nicht aus der Umgebung kommst, aber gern in Hagen starten willst und eine Unterkunft brauchst, dann schreib mir auch hierzu gern eine E-Mail, vielleicht finden wir da eine Lösung.  Zur Anmeldung für den Triathlon in Hagen https://www.triteam-hagen.de/32-injoy-triathlon-hagen/  Mehr zur Twaiv-App https://www.twaiv.app/  Hilf mir und komm in den Supporter Club oder schau in unserem Shop vorbei. Die Einnahmen fließen in unser CLBHOUSE und meine Arbeit.  https://www.pacepresso.de/shop/  https://steadyhq.com/de/pacepresso/about  Rabattcodes: Mit dem Code TOBIAS12 sparst du 12% bei deiner nächsten Bestellung im 3Bears Shop. https://www.3bears.de/pacepresso #laufen #running #triathlon #vereinsarbeit #event #hagen --- Send in a voice message: https://podcasters.spotify.com/pod/show/pacepresso/message

Welcome to the Change The Map podcast, where we inspire, educate, and resource you to transform the Buddhist world through prayer and action. Join us as we explore the mystical world of Buddhism. Discover its unique challenges, meet Buddhist background followers of Jesus, and engage in strategic prayer to change the spiritual map of the Buddhist world....This week we're joined by Brett Zeiler, a veteran kids pastor and cross cultural worker in Cambodia. On today's episode Brett talks about the importance of engaging the children and families in your church in missions. He gives us some easy ways to do this and also shares how we can pray for missionary kids and families in Cambodia and around the globe.For more resources and prayer opportunities, click the links below.Website: https://changethemap.netYouTube: https://www.youtube.com/channel/UCmu0ndxRYOLhYImtiGNtkzgFacebook: https://www.facebook.com/changethemapprayerteamInstagram: https://www.instagram.com/changethemapTwitter: https://twitter.com/changethem...

Follow Sarah: @sarahgzeiler WHERE YOU CAN LISTEN: Spotify Link: https://bit.ly/MakingMovesWithTKSpotify Apple Link: https://bit.ly/MakingMovesWithTKApple Google Link: https://bit.ly/MakingMovesWithTKGoogle Subscribe to my YT channel: https://www.youtube.com/c/TaylorKing INSTAGRAM: https://www.instagram.com/tksjuicypolls/ TWITTER: https://twitter.com/tksjuicypolls TikTok: https://vm.tiktok.com/swGP6F/ @tksjuicypolls Learn more about your ad choices. Visit podcastchoices.com/adchoices

Organisch Kunden aufbauen - Interview mit Karsten Kromm Karsten ist spezialisiert auf die organische Kundengewinnung mit Facebook, damit du als Berufsstarter in der Coachingbranche kein Geld mit Werbekosten verbrennst. Er ist 56 Jahre jung und seine Kunden sind begeistert von den Ergebnissen! Kontaktdaten kontakt@karstenkromm.de Webseite https://karstenkromm.de   *** Amata's Erfolgspodcast erfüllt & frei leben, bei dem sich alles um das Thema mehr Zeit, mehr Geld, mehr Lebensqualität dreht. Bist Du (angehende) Unternehmerin, Selbständig, Powerfrau, Visionärin oder willst einfach nicht mehr Zeit gegen Geld tauschen und MEHR vom Leben? Träumst Du von einem selbstbestimmten - erfüllten - finanziell freiem Leben? Dann ist dieser Podcast genau das Richtige für dich! In informativen Solofolgen mit sofort umsetzbaren Tipps, sowie spannenden Interviews zeige ich dir die Strategien von erfolgreichen Unternehmern und Unternehmerinnen. Du lernst in Experten-Interviews wie Menschen erfolgreich geworden sind und wie sie erfolgreich bleiben.  Einschalten – Zuhören - Inspirieren lassen www.amatabayerl.de Links zu Amata: ☀️Facebook Gruppe: Finanzielle Freiheit für Powerfrauen https://www.facebook.com/groups/finanziellefreiheitpowerfrauen/ ☀️meine Fanpage in Facebook https://www.facebook.com/amatabayerl.de/ ☀️Instagram https://www.instagram.com/erfuellt_und_frei_leben/ ☀️meine Homepage www.amatabayerl.de hier kannst Du auch ein kostenfreies Strategiegespräch anfordern. ☀️YouTube „Meine Geschichte – die Lösung für dich?“ https://youtu.be/UqK4-PB3aT8 Oder Du hast Lust mit deiner Vision viele Menschen zu erreichen, dann starte doch Deinen eigenen Podcast, ich empfehle Dir Tom Kaules seine Podcast Meisterschule https://bit.ly/2lJBYux Meine Bitte: Wenn Dir diese Folge gefallen hat, dann hinterlasse mir doch eine 5-Sterne-Bewertung auf iTunes und abonniere meinen Kanal. Einfach auf der Seite https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2  auf die entsprechende Folge klicken und bewerten.  Wenn Du noch keinen Podcast Player auf Deinem Handy hast, dann geh aufwww.subscribeonandroid.com/amata.libsyn.com/rss Es werden ca 17 Player angezeigt – wir empfehlen: Podcast App by Player FM Abonniere meinen Podcast auf itunes: https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2 für Android-Nutzer: Player FM https://player.fm/series/amatas-podcast Kooperationen / Vortragsrednerin Du willst Amata als Speaker erleben? Du möchtest, dass Amata Bayerl auf Deinem nächsten Event, Deiner Konferenz oder einer Messe dein Publikum inspiriert und begeistert? Dann nimm Kontakt zu uns auf Du möchtest Interviewgast in Amatas Erfolgs Podcast werden und hast eine erfolgreiche Geschichte mit Mehrwert für unsere Zuhörer? Dann schicke uns doch kurz einen 2- bis 5-Zeiler (bitte nicht mehr) über das, was Du machst, was Dein Background ist und womit Du Dich präsentieren möchtest. Bitte sende diese Mail an info@amatabayerl.de oder benutze das Kontaktformular. Wir melden uns dann zur weiteren Absprache.

Ein mentaler Werkzeugkasten für Erfolg und Zufriedenheit. Anthony Robbins Geschichte gleicht einem Wunder. Jahrelang lebte er auf der Schattenseite des Lebens. Er war einsam und allein, übergewichtig und ständig pleite, erfüllt von einer tiefen Hoffnungslosigkeit. Heute ist er Millionär und lebt an der Seite der Frau seiner Träume in einem 930 Quadratmeter großen Schloss mit Blick aufs Meer. All das konnte er schaffen, weil es ihm gelang, eine Kraftquelle anzuzapfen, die sein Leben für immer veränderte. Diese Kraftquelle schlummert auch in dir! Sie besteht in einer veränderten Geisteshaltung, die es dir erlaubt, dir selbst zu helfen und mit einem positiven Blick in die Welt zu blicken. Wir stellen dir die zehn wichtigsten Lektionen vor, nach denen Anthony Robbins sein Denken und Handeln richtet, und die ihm geholfen haben, glücklich, stark und erfolgreich zu werden. Vielleicht findest auch du darin die eine oder andere Anregung.  *** Amata's Erfolgspodcast erfüllt & frei leben, bei dem sich alles um das Thema mehr Zeit, mehr Geld, mehr Lebensqualität dreht. Bist Du (angehende) Unternehmerin, Selbständig, Powerfrau, Visionärin oder willst einfach nicht mehr Zeit gegen Geld tauschen und MEHR vom Leben? Träumst Du von einem selbstbestimmten - erfüllten - finanziell freiem Leben? Dann ist dieser Podcast genau das Richtige für dich! In informativen Solofolgen mit sofort umsetzbaren Tipps, sowie spannenden Interviews zeige ich dir die Strategien von erfolgreichen Unternehmern und Unternehmerinnen. Du lernst in Experten-Interviews wie Menschen erfolgreich geworden sind und wie sie erfolgreich bleiben.  Einschalten – Zuhören - Inspirieren lassen www.amatabayerl.de Links zu Amata: ☀️Facebook Gruppe: Finanzielle Freiheit für Powerfrauen https://www.facebook.com/groups/finanziellefreiheitpowerfrauen/ ☀️meine Fanpage in Facebook https://www.facebook.com/amatabayerl.de/ ☀️Instagram https://www.instagram.com/erfuellt_und_frei_leben/ ☀️meine Homepage www.amatabayerl.de hier kannst Du auch ein kostenfreies Strategiegespräch anfordern. ☀️YouTube „Meine Geschichte – die Lösung für dich?“ https://youtu.be/UqK4-PB3aT8 Oder Du hast Lust mit deiner Vision viele Menschen zu erreichen, dann starte doch Deinen eigenen Podcast, ich empfehle Dir Tom Kaules seine Podcast Meisterschule https://bit.ly/2lJBYux Meine Bitte: Wenn Dir diese Folge gefallen hat, dann hinterlasse mir doch eine 5-Sterne-Bewertung auf iTunes und abonniere meinen Kanal. Einfach auf der Seite https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2  auf die entsprechende Folge klicken und bewerten.  Wenn Du noch keinen Podcast Player auf Deinem Handy hast, dann geh aufwww.subscribeonandroid.com/amata.libsyn.com/rss Es werden ca 17 Player angezeigt – wir empfehlen: Podcast App by Player FM Abonniere meinen Podcast auf itunes: https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2 für Android-Nutzer: Player FM https://player.fm/series/amatas-podcast Kooperationen / Vortragsrednerin Du willst Amata als Speaker erleben? Du möchtest, dass Amata Bayerl auf Deinem nächsten Event, Deiner Konferenz oder einer Messe dein Publikum inspiriert und begeistert? Dann nimm Kontakt zu uns auf Du möchtest Interviewgast in Amatas Erfolgs Podcast werden und hast eine erfolgreiche Geschichte mit Mehrwert für unsere Zuhörer? Dann schicke uns doch kurz einen 2- bis 5-Zeiler (bitte nicht mehr) über das, was Du machst, was Dein Background ist und womit Du Dich präsentieren möchtest. Bitte sende diese Mail an info@amatabayerl.de oder benutze das Kontaktformular. Wir melden uns dann zur weiteren Absprache.

Viel Spaß beim Hören Deine Amata *** Amata's Erfolgspodcast erfüllt & frei leben, bei dem sich alles um das Thema mehr Zeit, mehr Geld, mehr Lebensqualität dreht. Bist Du (angehende) Unternehmerin, Selbständig, Powerfrau, Visionärin oder willst einfach nicht mehr Zeit gegen Geld tauschen und MEHR vom Leben? Träumst Du von einem selbstbestimmten - erfüllten - finanziell freiem Leben? Dann ist dieser Podcast genau das Richtige für dich! In informativen Solofolgen mit sofort umsetzbaren Tipps, sowie spannenden Interviews zeige ich dir die Strategien von erfolgreichen Unternehmern und Unternehmerinnen. Du lernst in Experten-Interviews wie Menschen erfolgreich geworden sind und wie sie erfolgreich bleiben.  Einschalten – Zuhören - Inspirieren lassen www.amatabayerl.de Links zu Amata: ☀️Facebook Gruppe: Finanzielle Freiheit für Powerfrauen https://www.facebook.com/groups/finanziellefreiheit4/ ☀️meine Fanpage in Facebook https://www.facebook.com/amatabayerl.de/ ☀️Instagram https://www.instagram.com/erfuellt_und_frei_leben/ ☀️meine Homepage www.amatabayerl.de hier kannst Du auch ein kostenfreies Strategiegespräch anfordern. ☀️YouTube „Meine Geschichte – die Lösung für dich?“ https://youtu.be/UqK4-PB3aT8 Oder Du hast Lust mit deiner Vision viele Menschen zu erreichen, dann starte doch Deinen eigenen Podcast, ich empfehle Dir Tom Kaules seine Podcast Meisterschule https://bit.ly/2lJBYux Meine Bitte: Wenn Dir diese Folge gefallen hat, dann hinterlasse mir doch eine 5-Sterne-Bewertung auf iTunes und abonniere meinen Kanal. Einfach auf der Seite https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2  auf die entsprechende Folge klicken und bewerten.  Wenn Du noch keinen Podcast Player auf Deinem Handy hast, dann geh aufwww.subscribeonandroid.com/amata.libsyn.com/rss Es werden ca 17 Player angezeigt – wir empfehlen: Podcast App by Player FM Abonniere meinen Podcast auf itunes: https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2 für Android-Nutzer: Player FM https://player.fm/series/amatas-podcast Kooperationen / Vortragsrednerin Du willst Amata als Speaker erleben? Du möchtest, dass Amata Bayerl auf Deinem nächsten Event, Deiner Konferenz oder einer Messe dein Publikum inspiriert und begeistert? Dann nimm Kontakt zu uns auf Du möchtest Interviewgast in Amatas Erfolgs Podcast werden und hast eine erfolgreiche Geschichte mit Mehrwert für unsere Zuhörer? Dann schicke uns doch kurz einen 2- bis 5-Zeiler (bitte nicht mehr) über das, was Du machst, was Dein Background ist und womit Du Dich präsentieren möchtest. Bitte sende diese Mail an info@amatabayerl.de. Wir melden uns dann zur weiteren Absprache.

Liebesmedizin - Interview mit Kerstin Ostendorp Dharamleen Kerstin Ostendorp liebt die Natur und die ursprüngliche Verbindung zur göttlichen Quelle, daraus schöpft sie in ihrem Leben und Business. Kerstin wirkt magisch mit Energie, fühlt und löst tiefliegende Blockaden in kürzester Zeit. Das hat sie sich durch die Liebe zum Kundalini-Yoga, dem Yoga der Energie und des Bewusstseins, eröffnet. Mit Begeisterung praktiziert und lehrt sie dieses abwechslungsreiche Yoga und die Meditationen. Ihre Heilkräfte hat sie erkannt, als sie sich nach 10 jähriger Tätigkeit im pharmazeutischen Vertrieb im Fachbereich Onkologie auf ihre innersten Werte und Gaben besonnen hat. Durch Darm- und Hauterkrankungen kam sie bereits vor über 30 Jahren zum Ayurveda, später studierte sie Ayurveda-Medizin in Deutschland und Indien. Nach wie vor pflegt Kerstin eine Passion für die gesunde Küche und typgerechte Ernährung und Lebensweise. Kerstin gibt ihre Vorlieben und Erfahrungen als Heilpraktikerin und Heilerin weiter. Dharamleen Kerstin Ostendorp lehrt die Energie hinter der Materie, wodurch das Leben einfacher wird und auch Heilung und Transformations-Prozesse schneller stattfinden. Als Ayurveda-/Energie-Medizinerin, Heilerin und Heilpraktikerin nimmt sie dich mit an die energetischen Wurzeln von Krise und Krankheit. Körper, Emotionen und Gedanken finden durch ihr Wirken zurück in eine höhere Ordnung. Die Liebe, der Fluss der Energie und ein strahlender Lichtkörper sind Kerstins Erfolgsgeheimnisse. Ihren gesamten Erfahrungsschatz teilt Dharamleen Kerstin Ostendorp seit 2009 in selbständiger Tätigkeit. Besonders an Frauen, deren Visionen brach liegen, weil sie ihre Liebe und ihren Wert noch nicht erkannt haben. Auch gegen Raubbau an Körper und Seele gibt es bei ihr die magische Wandlung. Wünscht du Heilung und Wandel? Für mehr Klarheit bietet Kerstin ein kostenfreies Gespräch an. 3 Tipps: Bleibe deinen Werten und deinem Herzen treu. Öffne dein energetisches Feld und wirke aus höherem Bewusstsein. Erlaube dir magisch zu sein. Kontaktdaten: https://dharamleen.de https://dharamleen.de/links FACEBOOK: https://www.facebook.com/DharamleenSeelenkraft YOUTUBE https://bit.ly/YoutubeDharamleen INSTAGRAM https://www.instagram.com/kerstin_ostendorp/ LinkedIn https://www.linkedin.com/in/kerstin-ostendorp-gesundsein/ Affiliate-Link: START TO SHINE - Energiemedizin Grundlagenkurs Energie- und Bewusstseinsbooster Start To Shine! https://www.digistore24.com/redir/399789/ABSuccess/CAMPAIGNKEY     Amata's Erfolgspodcast erfüllt & frei leben, bei dem sich alles um das Thema mehr Zeit, mehr Geld, mehr Lebensqualität dreht. Bist Du (angehende) Unternehmerin, Selbständig, Powerfrau, Visionärin oder willst einfach nicht mehr Zeit gegen Geld tauschen und MEHR vom Leben? Träumst Du von einem selbstbestimmten - erfüllten - finanziell freiem Leben? Dann ist dieser Podcast genau das Richtige für dich! In informativen Solofolgen mit sofort umsetzbaren Tipps, sowie spannenden Interviews zeige ich dir die Strategien von erfolgreichen Unternehmern und Unternehmerinnen. Du lernst in Experten-Interviews wie Menschen erfolgreich geworden sind und wie sie erfolgreich bleiben.  Einschalten – Zuhören - Inspirieren lassen www.amatabayerl.de Links zu Amata: ☀️Facebook Gruppe: Finanzielle Freiheit für Powerfrauen https://www.facebook.com/groups/finanziellefreiheitpowerfrauen/ ☀️meine Fanpage in Facebook https://www.facebook.com/amatabayerl.de/ ☀️Instagram https://www.instagram.com/erfuellt_und_frei_leben/ ☀️meine Homepage www.amatabayerl.de hier kannst Du auch ein kostenfreies Strategiegespräch anfordern. ☀️YouTube „Meine Geschichte – die Lösung für dich?“ https://youtu.be/UqK4-PB3aT8 Oder Du hast Lust mit deiner Vision viele Menschen zu erreichen, dann starte doch Deinen eigenen Podcast, ich empfehle Dir Tom Kaules seine Podcast Meisterschule https://bit.ly/2lJBYux Meine Bitte: Wenn Dir diese Folge gefallen hat, dann hinterlasse mir doch eine 5-Sterne-Bewertung auf iTunes und abonniere meinen Kanal. Einfach auf der Seite https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2  auf die entsprechende Folge klicken und bewerten.  Wenn Du noch keinen Podcast Player auf Deinem Handy hast, dann geh aufwww.subscribeonandroid.com/amata.libsyn.com/rss Es werden ca 17 Player angezeigt – wir empfehlen: Podcast App by Player FM Abonniere meinen Podcast auf itunes: https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2 für Android-Nutzer: Player FM https://player.fm/series/amatas-podcast Kooperationen / Vortragsrednerin Du willst Amata als Speaker erleben? Du möchtest, dass Amata Bayerl auf Deinem nächsten Event, Deiner Konferenz oder einer Messe dein Publikum inspiriert und begeistert? Dann nimm Kontakt zu uns auf Du möchtest Interviewgast in Amatas Erfolgs Podcast werden und hast eine erfolgreiche Geschichte mit Mehrwert für unsere Zuhörer? Dann schicke uns doch kurz einen 2- bis 5-Zeiler (bitte nicht mehr) über das, was Du machst, was Dein Background ist und womit Du Dich präsentieren möchtest. Bitte sende diese Mail an info@amatabayerl.de oder benutze das Kontaktformular. Wir melden uns dann zur weiteren Absprache.    

70 Aha Momente zum glücklich sein   Das Leben ist eine Wäscheschleuder. Es schüttelt einen hin und wieder so heftig durch, dass man nicht mehr weiß, wo oben und unten ist. Vielleicht fragst du dich manchmal, wozu um Himmels Willen all die schmerzhaften, peinlichen und ungerechten Erlebnisse eigentlich gut sein sollen. Auch Sabine Asgodom hat am eigenen Leib erfahren müssen, dass das Leben manchmal einfach ungerecht ist. Auch sie stand schon oft vor den Scherben ihree Existenz und hat so manche Nacht durchgeweint. Und trotzdem entschied sie sich immer wieder fürs Glücklichsein. Pünktlich zu ihrem siebzigsten Geburtstag hat sie ein Buch mit siebzig Geschichten aus ihrem Leben veröffentlicht. Es sind Geschichten über das Hinfallen und Wiederaufstehen, über das Scheitern und daraus Lernen, lauter kleine Schritte in Richtung Freiheit! Aus diesen Aha-Momenten haben wir sieben Stück für dich herausgesucht. Hast du Lust, dich inspirieren zu lassen? Ja? Dann legen wir doch gleich los!   Viel Spaß beim Hören Deine Amata *** Amata's Erfolgspodcast erfüllt & frei leben, bei dem sich alles um das Thema mehr Zeit, mehr Geld, mehr Lebensqualität dreht. Bist Du (angehende) Unternehmerin, Selbständig, Powerfrau, Visionärin oder willst einfach nicht mehr Zeit gegen Geld tauschen und MEHR vom Leben? Träumst Du von einem selbstbestimmten - erfüllten - finanziell freiem Leben? Dann ist dieser Podcast genau das Richtige für dich! In informativen Solofolgen mit sofort umsetzbaren Tipps, sowie spannenden Interviews zeige ich dir die Strategien von erfolgreichen Unternehmern und Unternehmerinnen. Du lernst in Experten-Interviews wie Menschen erfolgreich geworden sind und wie sie erfolgreich bleiben.  Einschalten – Zuhören - Inspirieren lassen www.amatabayerl.de Links zu Amata: ☀️Facebook Gruppe: Finanzielle Freiheit für Powerfrauen https://www.facebook.com/groups/finanziellefreiheitpowerfrauen/ ☀️meine Fanpage in Facebook https://www.facebook.com/amatabayerl.de/ ☀️Instagram https://www.instagram.com/erfuellt_und_frei_leben/ ☀️meine Homepage www.amatabayerl.de hier kannst Du auch ein kostenfreies Strategiegespräch anfordern. ☀️YouTube „Meine Geschichte – die Lösung für dich?“ https://youtu.be/UqK4-PB3aT8 Oder Du hast Lust mit deiner Vision viele Menschen zu erreichen, dann starte doch Deinen eigenen Podcast, ich empfehle Dir Tom Kaules seine Podcast Meisterschule https://bit.ly/2lJBYux Meine Bitte: Wenn Dir diese Folge gefallen hat, dann hinterlasse mir doch eine 5-Sterne-Bewertung auf iTunes und abonniere meinen Kanal. Einfach auf der Seite https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2  auf die entsprechende Folge klicken und bewerten.  Wenn Du noch keinen Podcast Player auf Deinem Handy hast, dann geh aufwww.subscribeonandroid.com/amata.libsyn.com/rss Es werden ca 17 Player angezeigt – wir empfehlen: Podcast App by Player FM Abonniere meinen Podcast auf itunes: https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2 für Android-Nutzer: Player FM https://player.fm/series/amatas-podcast Kooperationen / Vortragsrednerin Du willst Amata als Speaker erleben? Du möchtest, dass Amata Bayerl auf Deinem nächsten Event, Deiner Konferenz oder einer Messe dein Publikum inspiriert und begeistert? Dann nimm Kontakt zu uns auf Du möchtest Interviewgast in Amatas Erfolgs Podcast werden und hast eine erfolgreiche Geschichte mit Mehrwert für unsere Zuhörer? Dann schicke uns doch kurz einen 2- bis 5-Zeiler (bitte nicht mehr) über das, was Du machst, was Dein Background ist und womit Du Dich präsentieren möchtest. Bitte sende diese Mail an info@amatabayerl.de oder benutze das Kontaktformular. Wir melden uns dann zur weiteren Absprache.

Stell dir vor, du leidest plötzlich unter Angstzuständen und Hautausschlag. Dein Arzt meint nur „Ach, das kann alle möglichen Ursachen haben, das geht schon wieder weg“ und verschreibt dir eine Cortisonsalbe für den Ausschlag. An welche Ursachen denkst du dann? Sicher an die Psyche, oder? Es könnte am Stress bei der Arbeit liegen oder an einer komplizierten Situation mit deiner Familie. Vielleicht überlegst du dir dann, mit Meditation anzufangen oder mehr Sport zu machen. An deinen Darm denkst du vermutlich eher nicht. http://www.490000367288.fbo.foreverliving.com https://t.me/+Ws0-tACfekZKje69   Viel Spaß beim Hören Deine Amata *** Amata's Erfolgspodcast erfüllt & frei leben, bei dem sich alles um das Thema mehr Zeit, mehr Geld, mehr Lebensqualität dreht. Bist Du (angehende) Unternehmerin, Selbständig, Powerfrau, Visionärin oder willst einfach nicht mehr Zeit gegen Geld tauschen und MEHR vom Leben? Träumst Du von einem selbstbestimmten - erfüllten - finanziell freiem Leben? Dann ist dieser Podcast genau das Richtige für dich! In informativen Solofolgen mit sofort umsetzbaren Tipps, sowie spannenden Interviews zeige ich dir die Strategien von erfolgreichen Unternehmern und Unternehmerinnen. Du lernst in Experten-Interviews wie Menschen erfolgreich geworden sind und wie sie erfolgreich bleiben.  Einschalten – Zuhören - Inspirieren lassen www.amatabayerl.de Links zu Amata: ☀️Facebook Gruppe: Finanzielle Freiheit für Powerfrauen https://www.facebook.com/groups/finanziellefreiheit4/ ☀️meine Fanpage in Facebook https://www.facebook.com/amatabayerl.de/ ☀️Instagram https://www.instagram.com/erfuellt_und_frei_leben/ ☀️meine Homepage www.amatabayerl.de hier kannst Du auch ein kostenfreies Strategiegespräch anfordern. ☀️YouTube „Meine Geschichte – die Lösung für dich?“ https://youtu.be/UqK4-PB3aT8 Oder Du hast Lust mit deiner Vision viele Menschen zu erreichen, dann starte doch Deinen eigenen Podcast, ich empfehle Dir Tom Kaules seine Podcast Meisterschule https://bit.ly/2lJBYux Meine Bitte: Wenn Dir diese Folge gefallen hat, dann hinterlasse mir doch eine 5-Sterne-Bewertung auf iTunes und abonniere meinen Kanal. Einfach auf der Seite https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2  auf die entsprechende Folge klicken und bewerten.  Wenn Du noch keinen Podcast Player auf Deinem Handy hast, dann geh aufwww.subscribeonandroid.com/amata.libsyn.com/rss Es werden ca 17 Player angezeigt – wir empfehlen: Podcast App by Player FM Abonniere meinen Podcast auf itunes: https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2 für Android-Nutzer: Player FM https://player.fm/series/amatas-podcast Kooperationen / Vortragsrednerin Du willst Amata als Speaker erleben? Du möchtest, dass Amata Bayerl auf Deinem nächsten Event, Deiner Konferenz oder einer Messe dein Publikum inspiriert und begeistert? Dann nimm Kontakt zu uns auf Du möchtest Interviewgast in Amatas Erfolgs Podcast werden und hast eine erfolgreiche Geschichte mit Mehrwert für unsere Zuhörer? Dann schicke uns doch kurz einen 2- bis 5-Zeiler (bitte nicht mehr) über das, was Du machst, was Dein Background ist und womit Du Dich präsentieren möchtest. Bitte sende diese Mail an info@amatabayerl.de. Wir melden uns dann zur weiteren Absprache.

Take it easy - Interview mit Conny Bock Conny ist seit über 25 Jahren leidenschaftliche Unternehmerin und seit einigen Jahren mit ihrem „Business auf 6 Rädern“ (Wohnmobil) unterwegs. Als Expertin für Business-Aufbau begleitet sie engagierte PowerFrauen Ü40 auf dem Weg zu einem erfolgreichen Online-Business und damit in die finanzielle Unabhängigkeit. Sie vereint Business-Strategien mit weiblicher Energie und Leichtigkeit. Mit ihrer Gabe komplexe Vorgänge zu vereinfachen, sieht sie DICH und den oftmals vorhandenen Wirrwarr in deinem Kopf -:). Es ist ihr eine Herzensangelegenheit Frauen zu ermutigen, sich von finanziellen Abhängigkeiten zu befreien und Eigenverantwortung für sich und ihr Leben zu übernehmen. Kreiere dir dein Traumleben. Ihr Leitspruch: “Und was, wenn doch?” - Denn alles ist möglich! Wenn du Conny kennenlernst, fühlst du sofort ihre sprühende Energie. Sie sieht innerhalb weniger Minuten mit einer unglaublichen Klarheit deine inneren Diamanten. Das bedeutet, dass sie DICH als Mensch in DEINER Einzigartigkeit erkennt und diese Einzigartigkeit dann mit deinem Sammelsurium von Ausbildungen und Zertifikaten so verknüpft, dass daraus eine absolut logische, einfache und klare Positionierung und Kundenbotschaft entsteht. Ihr Erfolg beruht auf ihrem absoluten Commitment, sie folgt ihrem Weg, ganz egal was im Außen passiert. Ihre offene und direkte Kommunikation ist das, was ihre Kunden an ihr schätzen, denn das ist es auch, was ihre Kunden in ihrer Entwicklung weiterbringt. Viel Spaß beim Hören Deine Amata *** Amata's Erfolgspodcast erfüllt & frei leben, bei dem sich alles um das Thema mehr Zeit, mehr Geld, mehr Lebensqualität dreht. Bist Du (angehende) Unternehmerin, Selbständig, Powerfrau, Visionärin oder willst einfach nicht mehr Zeit gegen Geld tauschen und MEHR vom Leben? Träumst Du von einem selbstbestimmten - erfüllten - finanziell freiem Leben? Dann ist dieser Podcast genau das Richtige für dich! In informativen Solofolgen mit sofort umsetzbaren Tipps, sowie spannenden Interviews zeige ich dir die Strategien von erfolgreichen Unternehmern und Unternehmerinnen. Du lernst in Experten-Interviews wie Menschen erfolgreich geworden sind und wie sie erfolgreich bleiben.  Einschalten – Zuhören - Inspirieren lassen www.amatabayerl.de Links zu Amata: ☀️Facebook Gruppe: Finanzielle Freiheit für Powerfrauen https://www.facebook.com/groups/finanziellefreiheitpowerfrauen/ ☀️meine Fanpage in Facebook https://www.facebook.com/amatabayerl.de/ ☀️Instagram https://www.instagram.com/erfuellt_und_frei_leben/ ☀️meine Homepage www.amatabayerl.de hier kannst Du auch ein kostenfreies Strategiegespräch anfordern. ☀️YouTube „Meine Geschichte – die Lösung für dich?“ https://youtu.be/UqK4-PB3aT8 Oder Du hast Lust mit deiner Vision viele Menschen zu erreichen, dann starte doch Deinen eigenen Podcast, ich empfehle Dir Tom Kaules seine Podcast Meisterschule https://bit.ly/2lJBYux Meine Bitte: Wenn Dir diese Folge gefallen hat, dann hinterlasse mir doch eine 5-Sterne-Bewertung auf iTunes und abonniere meinen Kanal. Einfach auf der Seite https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2  auf die entsprechende Folge klicken und bewerten.  Wenn Du noch keinen Podcast Player auf Deinem Handy hast, dann geh aufwww.subscribeonandroid.com/amata.libsyn.com/rss Es werden ca 17 Player angezeigt – wir empfehlen: Podcast App by Player FM Abonniere meinen Podcast auf itunes: https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2 für Android-Nutzer: Player FM https://player.fm/series/amatas-podcast Kooperationen / Vortragsrednerin Du willst Amata als Speaker erleben? Du möchtest, dass Amata Bayerl auf Deinem nächsten Event, Deiner Konferenz oder einer Messe dein Publikum inspiriert und begeistert? Dann nimm Kontakt zu uns auf Du möchtest Interviewgast in Amatas Erfolgs Podcast werden und hast eine erfolgreiche Geschichte mit Mehrwert für unsere Zuhörer? Dann schicke uns doch kurz einen 2- bis 5-Zeiler (bitte nicht mehr) über das, was Du machst, was Dein Background ist und womit Du Dich präsentieren möchtest. Bitte sende diese Mail an info@amatabayerl.de oder benutze das Kontaktformular. Wir melden uns dann zur weiteren Absprache.

Die orange Pille   Wer sich nicht mit dem Bitcoin beschäftigt, hört nur alle paar Jahre etwas von ihm. Dann nämlich, wenn sein Kurs entweder in die Höhe schnellt – oder in den Keller rauscht. Deswegen halten ihn viele für eine Spielerei, die einige Nerds und Spekulanten reich und andere arm gemacht hat. Dabei ist der Bitcoin viel mehr als nur ein Spekulationsobjekt. Genau genommen ist er die Antwort auf die Finanzkrise. Sie war Folge davon, dass sich zahlreiche Banken schamlos verzockten und ihre Staaten sie mit Steuergeld und der Hilfe der Zentralbanken retten mussten. Also auf Kosten der Allgemeinheit. Was macht den Bitcoin in den Augen seiner Anhänger zu einem besseren Geld? Welche Eigenschaften hat er, und was ist an unseren herkömmlichen Währungen problematisch? Wir beantworten dir diese Fragen und erklären die grundsätzlichen Eigenschaften des Bitcoins. Oder, wie Bitcoiner sagen, wir verabreichen dir die orange Pille. Das ist eine Anspielung auf Die Matrix. In dem Film erkennt derjenige, der die rote Pille schluckt, die wahren Strukturen der Wirklichkeit. Die Pille der Bitcoiner ist orange, weil das die Farbe des Bitcoin-Logos ist – wer sie nimmt, wird die Finanzwelt mit anderen Augen sehen. Viel Spaß beim Hören Deine Amata *** Amata's Erfolgspodcast erfüllt & frei leben, bei dem sich alles um das Thema mehr Zeit, mehr Geld, mehr Lebensqualität dreht. Bist Du (angehende) Unternehmerin, Selbständig, Powerfrau, Visionärin oder willst einfach nicht mehr Zeit gegen Geld tauschen und MEHR vom Leben? Träumst Du von einem selbstbestimmten - erfüllten - finanziell freiem Leben? Dann ist dieser Podcast genau das Richtige für dich! In informativen Solofolgen mit sofort umsetzbaren Tipps, sowie spannenden Interviews zeige ich dir die Strategien von erfolgreichen Unternehmern und Unternehmerinnen. Du lernst in Experten-Interviews wie Menschen erfolgreich geworden sind und wie sie erfolgreich bleiben.  Einschalten – Zuhören - Inspirieren lassen www.amatabayerl.de Links zu Amata: ☀️Facebook Gruppe: Finanzielle Freiheit für Powerfrauen https://www.facebook.com/groups/finanziellefreiheitpowerfrauen/ ☀️meine Fanpage in Facebook https://www.facebook.com/amatabayerl.de/ ☀️Instagram https://www.instagram.com/erfuellt_und_frei_leben/ ☀️meine Homepage www.amatabayerl.de hier kannst Du auch ein kostenfreies Strategiegespräch anfordern. ☀️YouTube „Meine Geschichte – die Lösung für dich?“ https://youtu.be/UqK4-PB3aT8 Oder Du hast Lust mit deiner Vision viele Menschen zu erreichen, dann starte doch Deinen eigenen Podcast, ich empfehle Dir Tom Kaules seine Podcast Meisterschule https://bit.ly/2lJBYux Meine Bitte: Wenn Dir diese Folge gefallen hat, dann hinterlasse mir doch eine 5-Sterne-Bewertung auf iTunes und abonniere meinen Kanal. Einfach auf der Seite https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2  auf die entsprechende Folge klicken und bewerten.  Wenn Du noch keinen Podcast Player auf Deinem Handy hast, dann geh aufwww.subscribeonandroid.com/amata.libsyn.com/rss Es werden ca 17 Player angezeigt – wir empfehlen: Podcast App by Player FM Abonniere meinen Podcast auf itunes: https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2 für Android-Nutzer: Player FM https://player.fm/series/amatas-podcast Kooperationen / Vortragsrednerin Du willst Amata als Speaker erleben? Du möchtest, dass Amata Bayerl auf Deinem nächsten Event, Deiner Konferenz oder einer Messe dein Publikum inspiriert und begeistert? Dann nimm Kontakt zu uns auf Du möchtest Interviewgast in Amatas Erfolgs Podcast werden und hast eine erfolgreiche Geschichte mit Mehrwert für unsere Zuhörer? Dann schicke uns doch kurz einen 2- bis 5-Zeiler (bitte nicht mehr) über das, was Du machst, was Dein Background ist und womit Du Dich präsentieren möchtest. Bitte sende diese Mail an info@amatabayerl.de oder benutze das Kontaktformular. Wir melden uns dann zur weiteren Absprache.

Die Süße der Freiheit - vom Anwaltsbüro auf die Mangofarm Über Eike:  Eike ist promovierter Rechtsanwalt, Yogalehrer und Soulpreneur. Nach vielen Jahren als Partner einer Wirtschaftskanzlei und Mitgründer eines erfolgreichen Softwareunternehmens vollzog er vor einigen Jahren seine eigene Wunschleben-Revolution, verkaufte seine Firmenanteile und machte sich auf nach Portugal. Dort lebt er mit seiner Familie in einem großen tropischen Garten und betreibt mit  seiner Partnerin das Retreat Zentrum Quantum Magic. Er liebt sein abwechslungsreiches Leben  zwischen Schreibtisch, Yogamatte und Mangobäumen. Eike ist überzeugt, dass wir die Welt ein Stückchen besser machen, wenn wir unser Wunschleben führen. Es ist ihm ein Herzensanliegen,  Selbstständige und Führungskräfte bei ihrer Wunschleben Revolution zu begleiten. Sein Thema:  Meist brauchen wir Menschen einen deutlichen Wink, dass wir etwas an unserem aktuellen Lebensstil ändern müssen, um ein freies und erfülltes Leben zu führen. Auch Eike brauchte einige Signale, bis er sein Leben selbst in die Hand nahm und die entscheidenden Schritte ging für sein eigenes Wunschleben. Dabei schien sein Leben nach außen hin bereits ziemlich perfekt mit gutem Einkommen, abwechslungsreichem Beruf und einer tollen Familie. Aber es fehlte etwas. Er verrät, wie man Signale frühzeitig erkennen kann, wie man Herausforderungen und Wendepunkte im Leben souverän durchlaufen kann und vor allem, warum es sich unbedingt lohnt. 3 Tipps von Eike: 1) Glaube nicht alles, was Du denkst 2) Übernimm die Verantwortung für Dich selbst 3) Vertraue Freebie: https://www.digistore24.com/content/520399/45684/AFFILIATE/CAMPAIGNKEY  Afflink zu unserem Programm MONEY CREATION von Quantum Magic mit 15% Rabattcode: https://quantummagic.de/money-creation/#aff= AFFILIATE&cam= CAMPAIGNKEY Rabattcode: MoneyCreation_ErfuelltundFrei   Viel Spaß beim Hören Deine Amata *** Amata's Erfolgspodcast erfüllt & frei leben, bei dem sich alles um das Thema mehr Zeit, mehr Geld, mehr Lebensqualität dreht. Bist Du (angehende) Unternehmerin, Selbständig, Powerfrau, Visionärin oder willst einfach nicht mehr Zeit gegen Geld tauschen und MEHR vom Leben? Träumst Du von einem selbstbestimmten - erfüllten - finanziell freiem Leben? Dann ist dieser Podcast genau das Richtige für dich! In informativen Solofolgen mit sofort umsetzbaren Tipps, sowie spannenden Interviews zeige ich dir die Strategien von erfolgreichen Unternehmern und Unternehmerinnen. Du lernst in Experten-Interviews wie Menschen erfolgreich geworden sind und wie sie erfolgreich bleiben.  Einschalten – Zuhören - Inspirieren lassen www.amatabayerl.de Links zu Amata: ☀️Facebook Gruppe: Finanzielle Freiheit für Powerfrauen https://www.facebook.com/groups/finanziellefreiheitpowerfrauen/ ☀️meine Fanpage in Facebook https://www.facebook.com/amatabayerl.de/ ☀️Instagram https://www.instagram.com/erfuellt_und_frei_leben/ ☀️meine Homepage www.amatabayerl.de hier kannst Du auch ein kostenfreies Strategiegespräch anfordern. ☀️YouTube „Meine Geschichte – die Lösung für dich?“ https://youtu.be/UqK4-PB3aT8 Oder Du hast Lust mit deiner Vision viele Menschen zu erreichen, dann starte doch Deinen eigenen Podcast, ich empfehle Dir Tom Kaules seine Podcast Meisterschule https://bit.ly/2lJBYux Meine Bitte: Wenn Dir diese Folge gefallen hat, dann hinterlasse mir doch eine 5-Sterne-Bewertung auf iTunes und abonniere meinen Kanal. Einfach auf der Seite https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2  auf die entsprechende Folge klicken und bewerten.  Wenn Du noch keinen Podcast Player auf Deinem Handy hast, dann geh aufwww.subscribeonandroid.com/amata.libsyn.com/rss Es werden ca 17 Player angezeigt – wir empfehlen: Podcast App by Player FM Abonniere meinen Podcast auf itunes: https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2 für Android-Nutzer: Player FM https://player.fm/series/amatas-podcast Kooperationen / Vortragsrednerin Du willst Amata als Speaker erleben? Du möchtest, dass Amata Bayerl auf Deinem nächsten Event, Deiner Konferenz oder einer Messe dein Publikum inspiriert und begeistert? Dann nimm Kontakt zu uns auf Du möchtest Interviewgast in Amatas Erfolgs Podcast werden und hast eine erfolgreiche Geschichte mit Mehrwert für unsere Zuhörer? Dann schicke uns doch kurz einen 2- bis 5-Zeiler (bitte nicht mehr) über das, was Du machst, was Dein Background ist und womit Du Dich präsentieren möchtest. Bitte sende diese Mail an info@amatabayerl.de oder benutze das Kontaktformular. Wir melden uns dann zur weiteren Absprache.  

*** Amata's Erfolgspodcast erfüllt & frei leben, bei dem sich alles um das Thema mehr Zeit, mehr Geld, mehr Lebensqualität dreht. Bist Du (angehende) Unternehmerin, Selbständig, Powerfrau, Visionärin oder willst einfach nicht mehr Zeit gegen Geld tauschen und MEHR vom Leben? Träumst Du von einem selbstbestimmten - erfüllten - finanziell freiem Leben? Dann ist dieser Podcast genau das Richtige für dich! In informativen Solofolgen mit sofort umsetzbaren Tipps, sowie spannenden Interviews zeige ich dir die Strategien von erfolgreichen Unternehmern und Unternehmerinnen. Du lernst in Experten-Interviews wie Menschen erfolgreich geworden sind und wie sie erfolgreich bleiben.  Einschalten – Zuhören - Inspirieren lassen www.amatabayerl.de Links zu Amata: ☀️Facebook Gruppe: Finanzielle Freiheit für Powerfrauen https://www.facebook.com/groups/finanziellefreiheitpowerfrauen/ ☀️meine Fanpage in Facebook https://www.facebook.com/amatabayerl.de/ ☀️Instagram https://www.instagram.com/erfuellt_und_frei_leben/ ☀️meine Homepage www.amatabayerl.de hier kannst Du auch ein kostenfreies Strategiegespräch anfordern. ☀️YouTube „Meine Geschichte – die Lösung für dich?“ https://youtu.be/UqK4-PB3aT8 Oder Du hast Lust mit deiner Vision viele Menschen zu erreichen, dann starte doch Deinen eigenen Podcast, ich empfehle Dir Tom Kaules seine Podcast Meisterschule https://bit.ly/2lJBYux Meine Bitte: Wenn Dir diese Folge gefallen hat, dann hinterlasse mir doch eine 5-Sterne-Bewertung auf iTunes und abonniere meinen Kanal. Einfach auf der Seite https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2  auf die entsprechende Folge klicken und bewerten.  Wenn Du noch keinen Podcast Player auf Deinem Handy hast, dann geh aufwww.subscribeonandroid.com/amata.libsyn.com/rss Es werden ca 17 Player angezeigt – wir empfehlen: Podcast App by Player FM Abonniere meinen Podcast auf itunes: https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2 für Android-Nutzer: Player FM https://player.fm/series/amatas-podcast Kooperationen / Vortragsrednerin Du willst Amata als Speaker erleben? Du möchtest, dass Amata Bayerl auf Deinem nächsten Event, Deiner Konferenz oder einer Messe dein Publikum inspiriert und begeistert? Dann nimm Kontakt zu uns auf Du möchtest Interviewgast in Amatas Erfolgs Podcast werden und hast eine erfolgreiche Geschichte mit Mehrwert für unsere Zuhörer? Dann schicke uns doch kurz einen 2- bis 5-Zeiler (bitte nicht mehr) über das, was Du machst, was Dein Background ist und womit Du Dich präsentieren möchtest. Bitte sende diese Mail an info@amatabayerl.de oder benutze das Kontaktformular. Wir melden uns dann zur weiteren Absprache.

*** Amata's Erfolgspodcast erfüllt & frei leben, bei dem sich alles um das Thema mehr Zeit, mehr Geld, mehr Lebensqualität dreht. Bist Du (angehende) Unternehmerin, Selbständig, Powerfrau, Visionärin oder willst einfach nicht mehr Zeit gegen Geld tauschen und MEHR vom Leben? Träumst Du von einem selbstbestimmten - erfüllten - finanziell freiem Leben? Dann ist dieser Podcast genau das Richtige für dich! In informativen Solofolgen mit sofort umsetzbaren Tipps, sowie spannenden Interviews zeige ich dir die Strategien von erfolgreichen Unternehmern und Unternehmerinnen. Du lernst in Experten-Interviews wie Menschen erfolgreich geworden sind und wie sie erfolgreich bleiben.  Einschalten – Zuhören - Inspirieren lassen www.amatabayerl.de Links zu Amata: ☀️Facebook Gruppe: Finanzielle Freiheit für Powerfrauen https://www.facebook.com/groups/finanziellefreiheitpowerfrauen/ ☀️meine Fanpage in Facebook https://www.facebook.com/amatabayerl.de/ ☀️Instagram https://www.instagram.com/erfuellt_und_frei_leben/ ☀️meine Homepage www.amatabayerl.de hier kannst Du auch ein kostenfreies Strategiegespräch anfordern. ☀️YouTube „Meine Geschichte – die Lösung für dich?“ https://youtu.be/UqK4-PB3aT8 Oder Du hast Lust mit deiner Vision viele Menschen zu erreichen, dann starte doch Deinen eigenen Podcast, ich empfehle Dir Tom Kaules seine Podcast Meisterschule https://bit.ly/2lJBYux Meine Bitte: Wenn Dir diese Folge gefallen hat, dann hinterlasse mir doch eine 5-Sterne-Bewertung auf iTunes und abonniere meinen Kanal. Einfach auf der Seite https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2  auf die entsprechende Folge klicken und bewerten.  Wenn Du noch keinen Podcast Player auf Deinem Handy hast, dann geh aufwww.subscribeonandroid.com/amata.libsyn.com/rss Es werden ca 17 Player angezeigt – wir empfehlen: Podcast App by Player FM Abonniere meinen Podcast auf itunes: https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2 für Android-Nutzer: Player FM https://player.fm/series/amatas-podcast Kooperationen / Vortragsrednerin Du willst Amata als Speaker erleben? Du möchtest, dass Amata Bayerl auf Deinem nächsten Event, Deiner Konferenz oder einer Messe dein Publikum inspiriert und begeistert? Dann nimm Kontakt zu uns auf Du möchtest Interviewgast in Amatas Erfolgs Podcast werden und hast eine erfolgreiche Geschichte mit Mehrwert für unsere Zuhörer? Dann schicke uns doch kurz einen 2- bis 5-Zeiler (bitte nicht mehr) über das, was Du machst, was Dein Background ist und womit Du Dich präsentieren möchtest. Bitte sende diese Mail an info@amatabayerl.de oder benutze das Kontaktformular. Wir melden uns dann zur weiteren Absprache.

Amata's Erfolgspodcast erfüllt & frei leben, bei dem sich alles um das Thema mehr Zeit, mehr Geld, mehr Lebensqualität dreht. Bist Du (angehende) Unternehmerin, Selbständig, Powerfrau, Visionärin oder willst einfach nicht mehr Zeit gegen Geld tauschen und MEHR vom Leben? Träumst Du von einem selbstbestimmten - erfüllten - finanziell freiem Leben? Dann ist dieser Podcast genau das Richtige für dich! In informativen Solofolgen mit sofort umsetzbaren Tipps, sowie spannenden Interviews zeige ich dir die Strategien von erfolgreichen Unternehmern und Unternehmerinnen. Du lernst in Experten-Interviews wie Menschen erfolgreich geworden sind und wie sie erfolgreich bleiben.  Einschalten – Zuhören - Inspirieren lassen www.amatabayerl.de Links zu Amata: ☀️Facebook Gruppe: Finanzielle Freiheit für Powerfrauen https://www.facebook.com/groups/finanziellefreiheitpowerfrauen/ ☀️meine Fanpage in Facebook https://www.facebook.com/amatabayerl.de/ ☀️Instagram https://www.instagram.com/erfuellt_und_frei_leben/ ☀️meine Homepage www.amatabayerl.de hier kannst Du auch ein kostenfreies Strategiegespräch anfordern. ☀️YouTube „Meine Geschichte – die Lösung für dich?“ https://youtu.be/UqK4-PB3aT8 Oder Du hast Lust mit deiner Vision viele Menschen zu erreichen, dann starte doch Deinen eigenen Podcast, ich empfehle Dir Tom Kaules seine Podcast Meisterschule https://bit.ly/2lJBYux Meine Bitte: Wenn Dir diese Folge gefallen hat, dann hinterlasse mir doch eine 5-Sterne-Bewertung auf iTunes und abonniere meinen Kanal. Einfach auf der Seite https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2  auf die entsprechende Folge klicken und bewerten.  Wenn Du noch keinen Podcast Player auf Deinem Handy hast, dann geh aufwww.subscribeonandroid.com/amata.libsyn.com/rss Es werden ca 17 Player angezeigt – wir empfehlen: Podcast App by Player FM Abonniere meinen Podcast auf itunes: https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2 für Android-Nutzer: Player FM https://player.fm/series/amatas-podcast Kooperationen / Vortragsrednerin Du willst Amata als Speaker erleben? Du möchtest, dass Amata Bayerl auf Deinem nächsten Event, Deiner Konferenz oder einer Messe dein Publikum inspiriert und begeistert? Dann nimm Kontakt zu uns auf Du möchtest Interviewgast in Amatas Erfolgs Podcast werden und hast eine erfolgreiche Geschichte mit Mehrwert für unsere Zuhörer? Dann schicke uns doch kurz einen 2- bis 5-Zeiler (bitte nicht mehr) über das, was Du machst, was Dein Background ist und womit Du Dich präsentieren möchtest. Bitte sende diese Mail an info@amatabayerl.de oder benutze das Kontaktformular. Wir melden uns dann zur weiteren Absprache.

*** Amata's Erfolgspodcast erfüllt & frei leben, bei dem sich alles um das Thema mehr Zeit, mehr Geld, mehr Lebensqualität dreht. Bist Du (angehende) Unternehmerin, Selbständig, Powerfrau, Visionärin oder willst einfach nicht mehr Zeit gegen Geld tauschen und MEHR vom Leben? Träumst Du von einem selbstbestimmten - erfüllten - finanziell freiem Leben? Dann ist dieser Podcast genau das Richtige für dich! In informativen Solofolgen mit sofort umsetzbaren Tipps, sowie spannenden Interviews zeige ich dir die Strategien von erfolgreichen Unternehmern und Unternehmerinnen. Du lernst in Experten-Interviews wie Menschen erfolgreich geworden sind und wie sie erfolgreich bleiben.  Einschalten – Zuhören - Inspirieren lassen www.amatabayerl.de Links zu Amata: ☀️Facebook Gruppe: Finanzielle Freiheit für Powerfrauen https://www.facebook.com/groups/finanziellefreiheitpowerfrauen/ ☀️meine Fanpage in Facebook https://www.facebook.com/amatabayerl.de/ ☀️Instagram https://www.instagram.com/erfuellt_und_frei_leben/ ☀️meine Homepage www.amatabayerl.de hier kannst Du auch ein kostenfreies Strategiegespräch anfordern. ☀️YouTube „Meine Geschichte – die Lösung für dich?“ https://youtu.be/UqK4-PB3aT8 Oder Du hast Lust mit deiner Vision viele Menschen zu erreichen, dann starte doch Deinen eigenen Podcast, ich empfehle Dir Tom Kaules seine Podcast Meisterschule https://bit.ly/2lJBYux Meine Bitte: Wenn Dir diese Folge gefallen hat, dann hinterlasse mir doch eine 5-Sterne-Bewertung auf iTunes und abonniere meinen Kanal. Einfach auf der Seite https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2  auf die entsprechende Folge klicken und bewerten.  Wenn Du noch keinen Podcast Player auf Deinem Handy hast, dann geh aufwww.subscribeonandroid.com/amata.libsyn.com/rss Es werden ca 17 Player angezeigt – wir empfehlen: Podcast App by Player FM Abonniere meinen Podcast auf itunes: https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2 für Android-Nutzer: Player FM https://player.fm/series/amatas-podcast Kooperationen / Vortragsrednerin Du willst Amata als Speaker erleben? Du möchtest, dass Amata Bayerl auf Deinem nächsten Event, Deiner Konferenz oder einer Messe dein Publikum inspiriert und begeistert? Dann nimm Kontakt zu uns auf Du möchtest Interviewgast in Amatas Erfolgs Podcast werden und hast eine erfolgreiche Geschichte mit Mehrwert für unsere Zuhörer? Dann schicke uns doch kurz einen 2- bis 5-Zeiler (bitte nicht mehr) über das, was Du machst, was Dein Background ist und womit Du Dich präsentieren möchtest. Bitte sende diese Mail an info@amatabayerl.de oder benutze das Kontaktformular. Wir melden uns dann zur weiteren Absprache.

Viel Spaß beim Hören Deine Amata   Ich freue mich, wenn Du mir ein Feedback hier im Blog oder auf Facebook hinterlässt Viel Spaß beim Hören Deine Amata *** Amata's Erfolgspodcast erfüllt & frei leben, bei dem sich alles um das Thema mehr Zeit, mehr Geld, mehr Lebensqualität dreht. Bist Du (angehende) Unternehmerin, Selbständig, Powerfrau, Visionärin oder willst einfach nicht mehr Zeit gegen Geld tauschen und MEHR vom Leben? Träumst Du von einem selbstbestimmten - erfüllten - finanziell freiem Leben? Dann ist dieser Podcast genau das Richtige für dich! In informativen Solofolgen mit sofort umsetzbaren Tipps, sowie spannenden Interviews zeige ich dir die Strategien von erfolgreichen Unternehmern und Unternehmerinnen. Du lernst in Experten-Interviews wie Menschen erfolgreich geworden sind und wie sie erfolgreich bleiben.  Einschalten – Zuhören - Inspirieren lassen www.amatabayerl.de Links zu Amata: ☀️Facebook Gruppe: Finanzielle Freiheit für Powerfrauen https://www.facebook.com/groups/finanziellefreiheitpowerfrauen/ ☀️meine Fanpage in Facebook https://www.facebook.com/amatabayerl.de/ ☀️Instagram https://www.instagram.com/erfuellt_und_frei_leben/ ☀️meine Homepage www.amatabayerl.de hier kannst Du auch ein kostenfreies Strategiegespräch anfordern. ☀️YouTube „Meine Geschichte – die Lösung für dich?“ https://youtu.be/UqK4-PB3aT8 Oder Du hast Lust mit deiner Vision viele Menschen zu erreichen, dann starte doch Deinen eigenen Podcast, ich empfehle Dir Tom Kaules seine Podcast Meisterschule https://bit.ly/2lJBYux Meine Bitte: Wenn Dir diese Folge gefallen hat, dann hinterlasse mir doch eine 5-Sterne-Bewertung auf iTunes und abonniere meinen Kanal. Einfach auf der Seite https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2  auf die entsprechende Folge klicken und bewerten.  Wenn Du noch keinen Podcast Player auf Deinem Handy hast, dann geh aufwww.subscribeonandroid.com/amata.libsyn.com/rss Es werden ca 17 Player angezeigt – wir empfehlen: Podcast App by Player FM Abonniere meinen Podcast auf itunes: https://itunes.apple.com/us/podcast/amatas-podcast/id1268020081?mt=2 für Android-Nutzer: Player FM https://player.fm/series/amatas-podcast Kooperationen / Vortragsrednerin Du willst Amata als Speaker erleben? Du möchtest, dass Amata Bayerl auf Deinem nächsten Event, Deiner Konferenz oder einer Messe dein Publikum inspiriert und begeistert? Dann nimm Kontakt zu uns auf Du möchtest Interviewgast in Amatas Erfolgs Podcast werden und hast eine erfolgreiche Geschichte mit Mehrwert für unsere Zuhörer? Dann schicke uns doch kurz einen 2- bis 5-Zeiler (bitte nicht mehr) über das, was Du machst, was Dein Background ist und womit Du Dich präsentieren möchtest. Bitte sende diese Mail an info@amatabayerl.de oder benutze das Kontaktformular. Wir melden uns dann zur weiteren Absprache.

Thanks to the over 17,000 people who have joined the first AI Engineer Summit! A full recap is coming. Last call to fill out the State of AI Engineering survey! See our Community page for upcoming meetups in SF, Paris and NYC.This episode had good interest on Twitter.Fast.ai's “Practical Deep Learning” courses been watched by over >6,000,000 people, and the fastai library has over 25,000 stars on Github. Jeremy Howard, one of the creators of Fast, is now one of the most prominent and respected voices in the machine learning industry; but that wasn't always the case. Being non-consensus and right In 2018, Jeremy and Sebastian Ruder published a paper on ULMFiT (Universal Language Model Fine-tuning), a 3-step transfer learning technique for NLP tasks: The paper demonstrated that pre-trained language models could be fine-tuned on a specific task with a relatively small amount of data to achieve state-of-the-art results. They trained a 24M parameters model on WikiText-103 which was beat most benchmarks.While the paper had great results, the methods behind weren't taken seriously by the community: “Everybody hated fine tuning. Everybody hated transfer learning. I literally did tours trying to get people to start doing transfer learning and nobody was interested, particularly after GPT showed such good results with zero shot and few shot learning […] which I was convinced was not the right direction, but who's going to listen to me, cause as you said, I don't have a PhD, not at a university… I don't have a big set of computers to fine tune huge transformer models.”Five years later, fine-tuning is at the center of most major discussion topics in AI (we covered some like fine tuning vs RAG and small models fine tuning), and we might have gotten here earlier if Jeremy had OpenAI-level access to compute and distribution. At heart, Jeremy has always been “GPU poor”:“I've always been somebody who does not want to build stuff on lots of big computers because most people don't have lots of big computers and I hate creating stuff that most people can't use.”This story is a good reminder of how some of the best ideas are hiding in plain sight; we recently covered RWKV and will continue to highlight the most interesting research that isn't being done in the large labs. Replacing fine-tuning with continued pre-trainingEven though fine-tuning is now mainstream, we still have a lot to learn. The issue of “catastrophic forgetting” and potential solutions have been brought up in many papers: at the fine-tuning stage, the model can forget tasks it previously knew how to solve in favor of new ones. The other issue is apparent memorization of the dataset even after a single epoch, which Jeremy covered Can LLMs learn from a single example? but we still don't have the answer to. Despite being the creator of ULMFiT, Jeremy still professes that there are a lot of open questions on finetuning:“So I still don't know how to fine tune language models properly and I haven't found anybody who feels like they do.”He now advocates for "continued pre-training" - maintaining a diversity of data throughout the training process rather than separate pre-training and fine-tuning stages. Mixing instructional data, exercises, code, and other modalities while gradually curating higher quality data can avoid catastrophic forgetting and lead to more robust capabilities (something we covered in Datasets 101).“Even though I originally created three-step approach that everybody now does, my view is it's actually wrong and we shouldn't use it… the right way to do this is to fine-tune language models, is to actually throw away the idea of fine-tuning. There's no such thing. There's only continued pre-training. And pre-training is something where from the very start, you try to include all the kinds of data that you care about, all the kinds of problems that you care about, instructions, exercises, code, general purpose document completion, whatever. And then as you train, you gradually curate that, you know, you gradually make that higher and higher quality and more and more specific to the kinds of tasks you want it to do. But you never throw away any data….So yeah, that's now my view, is I think ULMFiT is the wrong approach. And that's why we're seeing a lot of these so-called alignment tax… I think it's actually because people are training them wrong.An example of this phenomena is CodeLlama, a LLaMA2 model finetuned on 500B tokens of code: while the model is much better at code, it's worse on generic tasks that LLaMA2 knew how to solve well before the fine-tuning. In the episode we also dive into all the places where open source model development and research is happening (academia vs Discords - tracked on our Communities list and on our survey), and how Jeremy recommends getting the most out of these diffuse, pseudonymous communities (similar to the Eleuther AI Mafia).Show Notes* Jeremy's Background* FastMail* Optimal Decisions* Kaggle* Enlitic* fast.ai* Rachel Thomas* Practical Deep Learning* fastai for PyTorch* nbdev* fastec2 (the underrated library we describe)* Can LLMs learn from a single example?* the Kaggle LLM Science Exam competition, which “challenges participants to answer difficult science-based questions written by a Large Language Model”.* Sebastian Ruder* Alec Radford* Sylvain Gugger* Stephen Merity* Chris Lattner* Modular.ai / Mojo* Jono Whittaker* Zeiler and Fergus paper* ULM Fit* DAWNBench* Phi-1* Code Llama* AlexNetTimestamps* [00:00:00] Intros and Jeremy's background* [00:05:28] Creating ULM Fit - a breakthrough in NLP using transfer learning* [00:06:32] The rise of GPT and the appeal of few-shot learning over fine-tuning* [00:10:00] Starting Fast.ai to distribute AI capabilities beyond elite academics* [00:14:30] How modern LMs like ChatGPT still follow the ULM Fit 3-step approach* [00:17:23] Meeting with Chris Lattner on Swift for TensorFlow at Google* [00:20:00] Continued pre-training as a fine-tuning alternative* [00:22:16] Fast.ai and looking for impact vs profit maximization* [00:26:39] Using Fast.ai to create an "army" of AI experts to improve their domains* [00:29:32] Fast.ai's 3 focus areas - research, software, and courses* [00:38:42] Fine-tuning memorization and training curve "clunks" before each epoch* [00:46:47] Poor training and fine-tuning practices may be causing alignment failures* [00:48:38] Academia vs Discords* [00:53:41] Jeremy's high hopes for Chris Lattner's Mojo and its potential* [01:05:00] Adding capabilities like SQL generation through quick fine-tuning* [01:10:12] Rethinking Fast.ai courses for the AI-assisted coding era* [01:14:53] Rapid model development has created major technical debt* [01:17:08] Lightning RoundAI Summary (beta)This is the first episode we're trying this. Here's an overview of the main topics before you dive in the transcript. * Jeremy's background and philosophies on AI* Studied philosophy and cognitive science in college* Focused on ethics and thinking about AI even 30 years ago* Believes AI should be accessible to more people, not just elite academics/programmers* Created fast.ai to make deep learning more accessible* Development of transfer learning and ULMFit* Idea of transfer learning critical for making deep learning accessible* ULMFit pioneered transfer learning for NLP* Proposed training general language models on large corpora then fine-tuning - this became standard practice* Faced skepticism that this approach would work from NLP community* Showed state-of-the-art results on text classification soon after trying it* Current open questions around fine-tuning LLMs* Models appear to memorize training data extremely quickly (after 1 epoch)* This may hurt training dynamics and cause catastrophic forgetting* Unclear how best to fine-tune models to incorporate new information/capabilities* Need more research on model training dynamics and ideal data mixing* Exciting new developments* Mojo and new programming languages like Swift could enable faster model innovation* Still lots of room for improvements in computer vision-like innovations in transformers* Small models with fine-tuning may be surprisingly capable for many real-world tasks* Prompting strategies enable models like GPT-3 to achieve new skills like playing chess at superhuman levels* LLMs are like computer vision in 2013 - on the cusp of huge new breakthroughs in capabilities* Access to AI research* Many key convos happen in private Discord channels and forums* Becoming part of these communities can provide great learning opportunities* Being willing to do real work, not just talk about ideas, is key to gaining access* The future of practical AI* Coding becoming more accessible to non-programmers through AI assistance* Pre-requisite programming experience for learning AI may no longer be needed* Huge open questions remain about how to best train, fine-tune, and prompt LLMsTranscriptAlessio: 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. [00:00:21]Swyx: Hey, and today we have in the remote studio, Jeremy Howard all the way from Australia. Good morning. [00:00:27]Jeremy: The remote studio, also known as my house. Good morning. Nice to see you. [00:00:32]Swyx: Nice to see you too. I'm actually very used to seeing you in your mask as a message to people, but today we're mostly audio. But thank you for doing the very important public service of COVID awareness. It was a pleasure. [00:00:46]Jeremy: It was all very annoying and frustrating and tedious, but somebody had to do it. [00:00:52]Swyx: Somebody had to do it, especially somebody with your profile. I think it really drives home the message. So we tend to introduce people for them and then ask people to fill in the blanks on the personal side. Something I did not know about you was that you graduated with a BA in philosophy from the University of Melbourne. I assumed you had a PhD. [00:01:14]Jeremy: No, I mean, I barely got through my BA because I was working 80 to 100 hour weeks at McKinsey and Company from 19 years old onwards. So I actually didn't attend any lectures in second and third year university. [00:01:35]Swyx: Well, I guess you didn't need it or you're very sort of self-driven and self-motivated. [00:01:39]Jeremy: I took two weeks off before each exam period when I was working at McKinsey. And then, I mean, I can't believe I got away with this in hindsight, I would go to all my professors and say, oh, I was meant to be in your class this semester and I didn't quite turn up. Were there any assignments I was meant to have done, whatever. I can't believe all of them let me basically have it. They basically always would say like, okay, well, if you can have this written by tomorrow, I'll accept it. So yeah, stressful way to get through university, but. [00:02:12]Swyx: Well, it shows that, I guess, you min-maxed the opportunities. That definitely was a precursor. [00:02:18]Jeremy: I mean, funnily, like in as much as I, you know, in philosophy, the things I found interesting and focused on in the little bit of time I did spend on it was ethics and cognitive science. And it's kind of really amazing that it's now come back around and those are actually genuinely useful things to know about, which I never thought would happen. [00:02:38]Swyx: A lot of, yeah, a lot of relevant conversations there. So you were a consultant for a while and then in the magical month of June 1989, you founded both Optimal Decisions and Fastmeal, which I also briefly used. So thank you for that. [00:02:53]Jeremy: Oh, good for you. Yeah. Cause I had read the statistics, which is that like 90% or something of small businesses fail. So I thought if I start two businesses, I have a higher chance. In hindsight, I was thinking of it as some kind of stochastic thing I didn't have control over, but it's a bit odd, but anyway. [00:03:10]Swyx: And then you were president and chief scientist at Kaggle, which obviously is the sort of composition platform of machine learning. And then Enlitic, where you were working on using deep learning to improve medical diagnostics and clinical decisions. Yeah. [00:03:28]Jeremy: I was actually the first company to use deep learning in medicine, so I kind of founded the field. [00:03:33]Swyx: And even now that's still like a pretty early phase. And I actually heard you on your new podcast with Tanish, where you went very, very deep into the stuff, the kind of work that he's doing, such a young prodigy at his age. [00:03:47]Jeremy: Maybe he's too old to be called a prodigy now, ex-prodigy. No, no. [00:03:51]Swyx: I think he still counts. And anyway, just to round out the bio, you have a lot more other credentials, obviously, but most recently you started Fast.ai, which is still, I guess, your primary identity with Rachel Thomas. So welcome. [00:04:05]Jeremy: Yep. [00:04:06]Swyx: Thanks to my wife. Thank you. Yeah. Doing a lot of public service there with getting people involved in AI, and I can't imagine a better way to describe it than fast, fast.ai. You teach people from nothing to stable diffusion in seven weeks or something, and that's amazing. Yeah, yeah. [00:04:22]Jeremy: I mean, it's funny, you know, when we started that, what was that, like 2016 or something, the idea that deep learning was something that you could make more accessible was generally considered stupid. Everybody knew that deep learning was a thing that you got a math or a computer science PhD, you know, there was one of five labs that could give you the appropriate skills and that you would join, yeah, basically from one of those labs, you might be able to write some papers. So yeah, the idea that normal people could use that technology to do good work was considered kind of ridiculous when we started it. And we weren't sure if it was possible either, but we kind of felt like we had to give it a go because the alternative was we were pretty sure that deep learning was on its way to becoming, you know, the most or one of the most, you know, important technologies in human history. And if the only people that could use it were a handful of computer science PhDs, that seemed like A, a big waste and B, kind of dangerous. [00:05:28]Swyx: Yeah. [00:05:29]Alessio: And, you know, well, I just wanted to know one thing on your bio that at Kaggle, you were also the top rank participant in both 2010 and 2011. So sometimes you see a lot of founders running companies that are not really in touch with the problem, but you were clearly building something that you knew a lot about, which is awesome. Talking about deep learning, you created, published a paper on ULM fit, which was kind of the predecessor to multitask learning and a lot of the groundwork that then went to into Transformers. I've read back on the paper and you turned this model, AWD LSTM, which I did the math and it was like 24 to 33 million parameters, depending on what training data set you use today. That's kind of like not even small, it's like super small. What were some of the kind of like contrarian takes that you had at the time and maybe set the stage a little bit for the rest of the audience on what was kind of like the state of the art, so to speak, at the time and what people were working towards? [00:06:32]Jeremy: Yeah, the whole thing was a contrarian take, you know. So okay, so we started Fast.ai, my wife and I, and we thought, yeah, so we're trying to think, okay, how do we make it more accessible? So when we started thinking about it, it was probably 2015 and then 2016, we started doing something about it. Why is it inaccessible? Okay, well, A, no one knows how to do it other than a few number of people. And then when we asked those few number of people, well, how do you actually get good results? They would say like, oh, it's like, you know, a box of tricks that aren't published. So you have to join one of the labs and learn the tricks. So a bunch of unpublished tricks, not much software around, but thankfully there was Theano and rappers and particularly Lasagna, the rapper, but yeah, not much software around, not much in the way of data sets, you know, very hard to get started in terms of the compute. Like how do you get that set up? So yeah, no, everything was kind of inaccessible. And you know, as we started looking into it, we had a key insight, which was like, you know what, most of the compute and data for image recognition, for example, we don't need to do it. You know, there's this thing which nobody knows about, nobody talks about called transfer learning, where you take somebody else's model, where they already figured out like how to detect edges and gradients and corners and text and whatever else, and then you can fine tune it to do the thing you want to do. And we thought that's the key. That's the key to becoming more accessible in terms of compute and data requirements. So when we started Fast.ai, we focused from day one on transfer learning. Lesson one, in fact, was transfer learning, literally lesson one, something not normally even mentioned in, I mean, there wasn't much in the way of courses, you know, the courses out there were PhD programs that had happened to have recorded their lessons and they would rarely mention it at all. We wanted to show how to do four things that seemed really useful. You know, work with vision, work with tables of data, work with kind of recommendation systems and collaborative filtering and work with text, because we felt like those four kind of modalities covered a lot of the stuff that, you know, are useful in real life. And no one was doing anything much useful with text. Everybody was talking about word2vec, you know, like king plus queen minus woman and blah, blah, blah. It was like cool experiments, but nobody's doing anything like useful with it. NLP was all like lemmatization and stop words and topic models and bigrams and SPMs. And it was really academic and not practical. But I mean, to be honest, I've been thinking about this crazy idea for nearly 30 years since I had done cognitive science at university, where we talked a lot about the CELS Chinese room experiment. This idea of like, what if there was somebody that could kind of like, knew all of the symbolic manipulations required to answer questions in Chinese, but they didn't speak Chinese and they were kind of inside a room with no other way to talk to the outside world other than taking in slips of paper with Chinese written on them and then they do all their rules and then they pass back a piece of paper with Chinese back. And this room with a person in is actually fantastically good at answering any question you give them written in Chinese. You know, do they understand Chinese? And is this, you know, something that's intelligently working with Chinese? Ever since that time, I'd say the most thought, to me, the most thoughtful and compelling philosophical response is yes. You know, intuitively it feels like no, because that's just because we can't imagine such a large kind of system. But you know, if it looks like a duck and acts like a duck, it's a duck, you know, or to all intents and purposes. And so I always kind of thought, you know, so this is basically a kind of analysis of the limits of text. And I kind of felt like, yeah, if something could ingest enough text and could use the patterns it saw to then generate text in response to text, it could appear to be intelligent, you know. And whether that means it is intelligent or not is a different discussion and not one I find very interesting. Yeah. And then when I came across neural nets when I was about 20, you know, what I learned about the universal approximation theorem and stuff, and I started thinking like, oh, I wonder if like a neural net could ever get big enough and take in enough data to be a Chinese room experiment. You know, with that background and this kind of like interest in transfer learning, you know, I'd been thinking about this thing for kind of 30 years and I thought like, oh, I wonder if we're there yet, you know, because we have a lot of text. Like I can literally download Wikipedia, which is a lot of text. And I thought, you know, how would something learn to kind of answer questions or, you know, respond to text? And I thought, well, what if we used a language model? So language models are already a thing, you know, they were not a popular or well-known thing, but they were a thing. But language models exist to this idea that you could train a model to fill in the gaps. Or actually in those days it wasn't fill in the gaps, it was finish a string. And in fact, Andrej Karpathy did his fantastic RNN demonstration from this at a similar time where he showed like you can have it ingest Shakespeare and it will generate something that looks a bit like Shakespeare. I thought, okay, so if I do this at a much bigger scale, using all of Wikipedia, what would it need to be able to do to finish a sentence in Wikipedia effectively, to do it quite accurately quite often? I thought, geez, it would actually have to know a lot about the world, you know, it'd have to know that there is a world and that there are objects and that objects relate to each other through time and cause each other to react in ways and that causes proceed effects and that, you know, when there are animals and there are people and that people can be in certain positions during certain timeframes and then you could, you know, all that together, you can then finish a sentence like this was signed into law in 2016 by US President X and it would fill in the gap, you know. So that's why I tried to create what in those days was considered a big language model trained on the entirety on Wikipedia, which is that was, you know, a bit unheard of. And my interest was not in, you know, just having a language model. My interest was in like, what latent capabilities would such a system have that would allow it to finish those kind of sentences? Because I was pretty sure, based on our work with transfer learning and vision, that I could then suck out those latent capabilities by transfer learning, you know, by fine-tuning it on a task data set or whatever. So we generated this three-step system. So step one was train a language model on a big corpus. Step two was fine-tune a language model on a more curated corpus. And step three was further fine-tune that model on a task. And of course, that's what everybody still does today, right? That's what ChatGPT is. And so the first time I tried it within hours, I had a new state-of-the-art academic result on IMDB. And I was like, holy s**t, it does work. And so you asked, to what degree was this kind of like pushing against the established wisdom? You know, every way. Like the reason it took me so long to try it was because I asked all my friends in NLP if this could work. And everybody said, no, it definitely won't work. It wasn't like, oh, maybe. Everybody was like, it definitely won't work. NLP is much more complicated than vision. Language is a much more vastly complicated domain. You know, and you've got problems like the grounding problem. We know from like philosophy and theory of mind that it's actually impossible for it to work. So yeah, so don't waste your time. [00:15:10]Alessio: Jeremy, had people not tried because it was like too complicated to actually get the data and like set up the training? Or like, were people just lazy and kind of like, hey, this is just not going to work? [00:15:20]Jeremy: No, everybody wasn't lazy. So like, so the person I thought at that time who, you know, there were two people I thought at that time, actually, who were the strongest at language models were Stephen Merity and Alec Radford. And at the time I didn't know Alec, but I, after we had both, after I'd released ULM Fit and he had released GPT, I organized a chat for both of us with Kate Metz in the New York Times. And Kate Metz answered, sorry, and Alec answered this question for Kate. And Kate was like, so how did, you know, GPT come about? And he said, well, I was pretty sure that pre-training on a general large corpus wouldn't work. So I hadn't tried it. And then I read ULM Fit and turns out it did work. And so I did it, you know, bigger and it worked even better. And similar with, with Stephen, you know, I asked Stephen Merity, like, why don't we just find, you know, take your AWD-ASTLM and like train it on all of Wikipedia and fine tune it? And he's kind of like, well, I don't think that's going to really lie. Like two years before I did a very popular talk at KDD, the conference where everybody in NLP was in the audience. I recognized half the faces, you know, and I told them all this, I'm sure transfer learning is the key. I'm sure ImageNet, you know, is going to be an NLP thing as well. And, you know, everybody was interested and people asked me questions afterwards and, but not just, yeah, nobody followed up because everybody knew that it didn't work. I mean, even like, so we were scooped a little bit by Dai and Lee, Kwok Lee at Google. They had, they had, I already, I didn't even realize this, which is a bit embarrassing. They had already done a large language model and fine tuned it. But again, they didn't create a general purpose, large language model on a general purpose corpus. They only ever tested a domain specific corpus. And I haven't spoken to Kwok actually about that, but I assume that the reason was the same. It probably just didn't occur to them that the general approach could work. So maybe it was that kind of 30 years of mulling over the, the cell Chinese room experiment that had convinced me that it probably would work. I don't know. Yeah. [00:17:48]Alessio: Interesting. I just dug up Alec announcement tweet from 2018. He said, inspired by Cobe, Elmo, and Yola, I'm fit. We should have a single transformer language model can be fine tuned to a wide variety. It's interesting because, you know, today people think of AI as the leader, kind of kind of like the research lab pushing forward the field. What was that at the time? You know, like kind of like going back five years, people think of it as an overnight success, but obviously it took a while. [00:18:16]Swyx: Yeah. Yeah. [00:18:17]Jeremy: No, I mean, absolutely. And I'll say like, you know, it's interesting that it mentioned Elmo because in some ways that was kind of diametrically opposed to, to ULM fit. You know, there was these kind of like, so there was a lot of, there was a lot of activity at the same time as ULM fits released. So there was, um, so before it, as Brian McCann, I think at Salesforce had come out with this neat model that did a kind of multitask learning, but again, they didn't create a general fine tune language model first. There was Elmo, um, which I think was a lip, you know, actually quite a few months after the first ULM fit example, I think. Um, but yeah, there was a bit of this stuff going on. And the problem was everybody was doing, and particularly after GPT came out, then everybody wanted to focus on zero shot and few shot learning. You know, everybody hated fine tuning. Everybody hated transfer learning. And like, I literally did tours trying to get people to start doing transfer learning and people, you know, nobody was interested, particularly after GPT showed such good results with zero shot and few shot learning. And so I actually feel like we kind of went backwards for years and, and not to be honest, I mean, I'm a bit sad about this now, but I kind of got so disappointed and dissuaded by like, it felt like these bigger lab, much bigger labs, you know, like fast AI had only ever been just me and Rachel were getting all of this attention for an approach I thought was the wrong way to do it. You know, I was convinced was the wrong way to do it. And so, yeah, for years people were really focused on getting better at zero shot and few shots and it wasn't until, you know, this key idea of like, well, let's take the ULM fit approach, but for step two, rather than fine tuning on a kind of a domain corpus, let's fine tune on an instruction corpus. And then in step three, rather than fine tuning on a reasonably specific task classification, let's fine tune on a, on a RLHF task classification. And so that was really, that was really key, you know, so I was kind of like out of the NLP field for a few years there because yeah, it just felt like, I don't know, pushing uphill against this vast tide, which I was convinced was not the right direction, but who's going to listen to me, you know, cause I, as you said, I don't have a PhD, not at a university, or at least I wasn't then. I don't have a big set of computers to fine tune huge transformer models. So yeah, it was definitely difficult. It's always been hard. You know, it's always been hard. Like I've always been somebody who does not want to build stuff on lots of big computers because most people don't have lots of big computers and I hate creating stuff that most people can't use, you know, and also stuff that's created on lots of big computers has always been like much more media friendly. So like, it might seem like a recent thing, but actually throughout my 30 years in data science, the attention's always been on, you know, the big iron results. So when I first started, everybody was talking about data warehouses and it was all about Teradata and it'd be like, oh, this big bank has this huge room full of computers and they have like terabytes of data available, you know, at the press of a button. And yeah, that's always what people want to talk about, what people want to write about. And then of course, students coming out of their PhDs and stuff, that's where they want to go work because that's where they read about. And to me, it's a huge distraction, you know, because like I say, most people don't have unlimited compute and I want to help most people, not the small subset of the most well-off people. [00:22:16]Alessio: That's awesome. And it's great to hear, you do such a great job educating that a lot of times you're not telling your own story, you know? So I love this conversation. And the other thing before we jump into Fast.AI, actually, a lot of people that I know, they run across a new architecture and whatnot, they're like, I got to start a company and raise a bunch of money and do all of this stuff. And say, you were like, I want everybody to have access to this. Why was that the case for you? Was it because you already had a successful venture in like FastMail and you were more interested in that? What was the reasoning? [00:22:52]Jeremy: It's a really good question. So I guess the answer is yes, that's the reason why. So when I was a teenager, I thought it would be really cool to like have my own company. You know, I didn't know the word startup. I didn't know the word entrepreneur. I didn't know the word VC. And I didn't really know what any of those things were really until after we started Kaggle, to be honest. Even the way it started to what we now call startups. I just thought they were just small businesses. You know, they were just companies. So yeah, so those two companies were FastMail and Optimal Decisions. FastMail was the first kind of synchronized email provider for non-businesses. So something you can get your same email at home, on your laptop, at work, on your phone, whatever. And then Optimal Decisions invented a new approach to insurance pricing. Something called profit-optimized insurance pricing. So I saw both of those companies, you know, after 10 years. And at that point, I had achieved the thing that as a teenager I had wanted to do. You know, it took a lot longer than it should have because I spent way longer in management consulting than I should have because I got caught up in that stupid rat race. But, you know, eventually I got there and I remember my mom saying to me, you must be so proud. You know, because she remembered my dream. She's like, you've done it. And I kind of reflected and I was like, I'm not proud at all. You know, like people quite liked FastMail. You know, it's quite nice to have synchronized email. It probably would have happened anyway. Yeah, I'm certainly not proud that I've helped some insurance companies suck more money out of their customers. Yeah, no, I'm not proud. You know, it's actually, I haven't really helped the world very much. You know, maybe in the insurance case I've made it a little bit worse. I don't know. So, yeah, I was determined to not waste more years of my life doing things, working hard to do things which I could not be reasonably sure would have a lot of value. So, you know, I took some time off. I wasn't sure if I'd ever work again, actually. I didn't particularly want to, because it felt like, yeah, it felt like such a disappointment. And, but, you know, and I didn't need to. I had enough money. Like, I wasn't super rich, but I had enough money. I didn't need to work. And I certainly recognized that amongst the other people I knew who had enough money that they didn't need to work, they all worked ridiculously hard, you know, and constantly put themselves in extremely stressful situations. And I thought, I don't want to be one of those idiots who's tied to, you know, buying a bigger plane than the next guy or whatever. You know, Kaggle came along and I mainly kind of did that just because it was fun and interesting to hang out with interesting people. But, you know, with Fast.ai in particular, you know, Rachel and I had a very explicit, you know, long series of conversations over a long period of time about like, well, how can we be the most helpful to society as a whole, and particularly to those people who maybe need more help, you know? And so we definitely saw the world going in a potentially pretty dystopian direction if the world's most powerful technology was controlled by a small group of elites. So we thought, yeah, we should focus on trying to help that not happen. You know, sadly, it looks like it still is likely to happen. But I mean, I feel like we've helped make it a little bit less likely. So we've done our bit. [00:26:39]Swyx: You've shown that it's possible. And I think your constant advocacy, your courses, your research that you publish, you know, just the other day you published a finding on, you know, learning that I think is still something that people are still talking about quite a lot. I think that that is the origin story of a lot of people who are going to be, you know, little Jeremy Howards, furthering your mission with, you know, you don't have to do everything by yourself is what I'm saying. No, definitely. Definitely. [00:27:10]Jeremy: You know, that was a big takeaway from like, analytic was analytic. It definitely felt like we had to do everything ourselves. And I kind of, I wanted to solve medicine. I'll say, yeah, okay, solving medicine is actually quite difficult. And I can't do it on my own. And there's a lot of other things I'd like to solve, and I can't do those either. So that was definitely the other piece was like, yeah, you know, can we create an army of passionate domain experts who can change their little part of the world? And that's definitely happened. Like I find nowadays, at least half the time, probably quite a bit more that I get in contact with somebody who's done really interesting work in some domain. Most of the time I'd say, they say, yeah, I got my start with fast.ai. So it's definitely, I can see that. And I also know from talking to folks at places like Amazon and Adobe and stuff, which, you know, there's lots of alumni there. And they say, oh my God, I got here. And like half of the people are fast.ai alumni. So it's fantastic. [00:28:13]Swyx: Yeah. [00:28:14]Jeremy: Actually, Andre Kapathy grabbed me when I saw him at NeurIPS a few years ago. And he was like, I have to tell you, thanks for the fast.ai courses. When people come to Tesla and they need to know more about deep learning, we always send them to your course. And the OpenAI Scholars Program was doing the same thing. So it's kind of like, yeah, it's had a surprising impact, you know, that's just one of like three things we do is the course, you know. [00:28:40]Swyx: Yes. [00:28:40]Jeremy: And it's only ever been at most two people, either me and Rachel or me and Sylvia nowadays, it's just me. So yeah, I think it shows you don't necessarily need a huge amount of money and a huge team of people to make an impact. [00:28:56]Swyx: Yeah. So just to reintroduce fast.ai for people who may not have dived into it much, there is the courses that you do. There is the library that is very well loved. And I kind of think of it as a nicer layer on top of PyTorch that people should start with by default and use it as the basis for a lot of your courses. And then you have like NBDev, which I don't know, is that the third one? [00:29:27]Jeremy: Oh, so the three areas were research, software, and courses. [00:29:32]Swyx: Oh, sorry. [00:29:32]Jeremy: So then in software, you know, fast.ai is the main thing, but NBDev is not far behind. But then there's also things like FastCore, GHAPI, I mean, dozens of open source projects that I've created and some of them have been pretty popular and some of them are still a little bit hidden, actually. Some of them I should try to do a better job of telling people about. [00:30:01]Swyx: What are you thinking about? Yeah, what's on the course of my way? Oh, I don't know, just like little things. [00:30:04]Jeremy: Like, for example, for working with EC2 and AWS, I created a FastEC2 library, which I think is like way more convenient and nice to use than anything else out there. And it's literally got a whole autocomplete, dynamic autocomplete that works both on the command line and in notebooks that'll like auto-complete your instance names and everything like that. You know, just little things like that. I try to make like, when I work with some domain, I try to make it like, I want to make it as enjoyable as possible for me to do that. So I always try to kind of like, like with GHAPI, for example, I think that GitHub API is incredibly powerful, but I didn't find it good to work with because I didn't particularly like the libraries that are out there. So like GHAPI, like FastEC2, it like autocompletes both at the command line or in a notebook or whatever, like literally the entire GitHub API. The entire thing is like, I think it's like less than 100K of code because it actually, as far as I know, the only one that grabs it directly from the official open API spec that GitHub produces. And like if you're in GitHub and you just type an API, you know, autocomplete API method and hit enter, it prints out the docs with brief docs and then gives you a link to the actual documentation page. You know, GitHub Actions, I can write now in Python, which is just so much easier than writing them in TypeScript and stuff. So, you know, just little things like that. [00:31:40]Swyx: I think that's an approach which more developers took to publish some of their work along the way. You described the third arm of FastAI as research. It's not something I see often. Obviously, you do do some research. And how do you run your research? What are your research interests? [00:31:59]Jeremy: Yeah, so research is what I spend the vast majority of my time on. And the artifacts that come out of that are largely software and courses. You know, so to me, the main artifact shouldn't be papers because papers are things read by a small exclusive group of people. You know, to me, the main artifacts should be like something teaching people, here's how to use this insight and here's software you can use that builds it in. So I think I've only ever done three first-person papers in my life, you know, and none of those are ones I wanted to do. You know, they were all ones that, like, so one was ULM Fit, where Sebastian Ruder reached out to me after seeing the course and said, like, you have to publish this as a paper, you know. And he said, I'll write it. He said, I want to write it because if I do, I can put it on my PhD and that would be great. And it's like, okay, well, I want to help you with your PhD. And that sounds great. So like, you know, one was the masks paper, which just had to exist and nobody else was writing it. And then the third was the Fast.ai library paper, which again, somebody reached out and said, please, please write this. We will waive the fee for the journal and everything and actually help you get it through publishing and stuff. So yeah, so I don't, other than that, I've never written a first author paper. So the research is like, well, so for example, you know, Dawn Bench was a competition, which Stanford ran a few years ago. It was kind of the first big competition of like, who can train neural nets the fastest rather than the most accurate. And specifically it was who can train ImageNet the fastest. And again, this was like one of these things where it was created by necessity. So Google had just released their TPUs. And so I heard from my friends at Google that they had put together this big team to smash Dawn Bench so that they could prove to people that they had to use Google Cloud and use their TPUs and show how good their TPUs were. And we kind of thought, oh s**t, this would be a disaster if they do that, because then everybody's going to be like, oh, deep learning is not accessible. [00:34:20]Swyx: You know, to actually be good at it, [00:34:21]Jeremy: you have to be Google and you have to use special silicon. And so, you know, we only found out about this 10 days before the competition finished. But, you know, we basically got together an emergency bunch of our students and Rachel and I and sat for the next 10 days and just tried to crunch through and try to use all of our best ideas that had come from our research. And so particularly progressive resizing, just basically train mainly on small things, train on non-square things, you know, stuff like that. And so, yeah, we ended up winning, thank God. And so, you know, we turned it around from being like, like, oh s**t, you know, this is going to show that you have to be Google and have TPUs to being like, oh my God, even the little guy can do deep learning. So that's an example of the kind of like research artifacts we do. And yeah, so all of my research is always, how do we do more with less, you know? So how do we get better results with less data, with less compute, with less complexity, with less education, you know, stuff like that. So ULM fits obviously a good example of that. [00:35:37]Swyx: And most recently you published, can LLMs learn from a single example? Maybe could you tell the story a little bit behind that? And maybe that goes a little bit too far into the learning of very low resource, the literature. [00:35:52]Jeremy: Yeah, yeah. So me and my friend, Jono Whittaker, basically had been playing around with this fun Kaggle competition, which is actually still running as we speak, which is, can you create a model which can answer multiple choice questions about anything that's in Wikipedia? And the thing that makes it interesting is that your model has to run on Kaggle within nine hours. And Kaggle's very, very limited. So you've only got 14 gig RAM, only two CPUs, and a small, very old GPU. So this is cool, you know, if you can do well at this, then this is a good example of like, oh, you can do more with less. So yeah, Jono and I were playing around with fine tuning, of course, transfer learning, pre-trained language models. And we saw this, like, so we always, you know, plot our losses as we go. So here's another thing we created. Actually, Sylvain Guuger, when he worked with us, created called fast progress, which is kind of like TQEDM, but we think a lot better. So we look at our fast progress curves, and they kind of go down, down, down, down, down, down, down, a little bit, little bit, little bit. And then suddenly go clunk, and they drop. And then down, down, down, down, down a little bit, and then suddenly clunk, they drop. We're like, what the hell? These clunks are occurring at the end of each epoch. So normally in deep learning, this would be, this is, you know, I've seen this before. It's always been a bug. It's always turned out that like, oh, we accidentally forgot to turn on eval mode during the validation set. So I was actually learning then, or, oh, we accidentally were calculating moving average statistics throughout the epoch. So, you know, so it's recently moving average or whatever. And so we were using Hugging Face Trainer. So, you know, I did not give my friends at Hugging Face the benefit of the doubt. I thought, oh, they've fucked up Hugging Face Trainer, you know, idiots. Well, you'll use the Fast AI Trainer instead. So we switched over to Learner. We still saw the clunks and, you know, that's, yeah, it shouldn't really happen because semantically speaking in the epoch, isn't like, it's not a thing, you know, like nothing happens. Well, nothing's meant to happen when you go from ending one epoch to starting the next one. So there shouldn't be a clunk, you know. So I kind of asked around on the open source discords. That's like, what's going on here? And everybody was just like, oh, that's just what, that's just what these training curves look like. Those all look like that. Don't worry about it. And I was like, oh, are you all using Trainer? Yes. Oh, well, there must be some bug with Trainer. And I was like, well, we also saw it in Learner [00:38:42]Swyx: and somebody else is like, [00:38:42]Jeremy: no, we've got our own Trainer. We get it as well. They're just like, don't worry about it. It's just something we see. It's just normal. [00:38:48]Swyx: I can't do that. [00:38:49]Jeremy: I can't just be like, here's something that's like in the previous 30 years of neural networks, nobody ever saw it. And now suddenly we see it. [00:38:57]Swyx: So don't worry about it. [00:38:59]Jeremy: I just, I have to know why. [00:39:01]Swyx: Can I clarify? This is, was everyone that you're talking to, were they all seeing it for the same dataset or in different datasets? [00:39:08]Jeremy: Different datasets, different Trainers. They're just like, no, this is just, this is just what it looks like when you fine tune language models. Don't worry about it. You know, I hadn't seen it before, but I'd been kind of like, as I say, I, you know, I kept working on them for a couple of years after ULM fit. And then I kind of moved on to other things, partly out of frustration. So I hadn't been fine tuning, you know, I mean, Lama's only been out for a few months, right? But I wasn't one of those people who jumped straight into it, you know? So I was relatively new to the kind of Lama fine tuning world, where else these guys had been, you know, doing it since day one. [00:39:49]Swyx: It was only a few months ago, [00:39:51]Jeremy: but it's still quite a bit of time. So, so yeah, they're just like, no, this is all what we see. [00:39:56]Swyx: Don't worry about it. [00:39:56]Jeremy: So yeah, I, I've got a very kind of like, I don't know, I've just got this brain where I have to know why things are. And so I kind of, I ask people like, well, why, why do you think it's happening? And they'd be like, oh, it would pretty obviously, cause it's like memorize the data set. It's just like, that can't be right. It's only seen it once. Like, look at this, the loss has dropped by 0.3, 0.3, which is like, basically it knows the answer. And like, no, no, it's just, it is, it's just memorize the data set. So yeah. So look, Jono and I did not discover this and Jono and I did not come up with a hypothesis. You know, I guess we were just the ones, I guess, who had been around for long enough to recognize that like, this, this isn't how it's meant to work. And so we, we, you know, and so we went back and like, okay, let's just run some experiments, you know, cause nobody seems to have actually published anything about this. [00:40:51]Well, not quite true.Some people had published things, but nobody ever actually stepped back and said like, what the hell, you know, how can this be possible? Is it possible? Is this what's happening? And so, yeah, we created a bunch of experiments where we basically predicted ahead of time. It's like, okay, if this hypothesis is correct, that it's memorized in the training set, then we ought to see blah, under conditions, blah, but not under these conditions. And so we ran a bunch of experiments and all of them supported the hypothesis that it was memorizing the data set in a single thing at once. And it's a pretty big data set, you know, which in hindsight, it's not totally surprising because the theory, remember, of the ULMFiT theory was like, well, it's kind of creating all these latent capabilities to make it easier for it to predict the next token. So if it's got all this kind of latent capability, it ought to also be really good at compressing new tokens because it can immediately recognize it as like, oh, that's just a version of this. So it's not so crazy, you know, but it is, it requires us to rethink everything because like, and nobody knows like, okay, so how do we fine tune these things? Because like, it doesn't even matter. Like maybe it's fine. Like maybe it's fine that it's memorized the data set after one go and you do a second go and okay, the validation loss is terrible because it's now really overconfident. [00:42:20]Swyx: That's fine. [00:42:22]Jeremy: Don't, you know, don't, I keep telling people, don't track validation loss, track validation accuracy because at least that will still be useful. Just another thing that's got lost since ULMFiT, nobody tracks accuracy of language models anymore. But you know, it'll still keep learning and it does, it does keep improving. But is it worse? You know, like, is it like, now that it's kind of memorized it, it's probably getting a less strong signal, you know, I don't know. So I still don't know how to fine tune language models properly and I haven't found anybody who feels like they do, like nobody really knows whether this memorization thing is, it's probably a feature in some ways. It's probably some things that you can do usefully with it. It's probably, yeah, I have a feeling it's messing up training dynamics as well. [00:43:13]Swyx: And does it come at the cost of catastrophic forgetting as well, right? Like, which is the other side of the coin. [00:43:18]Jeremy: It does to some extent, like we know it does, like look at Code Llama, for example. So Code Llama was a, I think it was like a 500 billion token fine tuning of Llama 2 using code. And also pros about code that Meta did. And honestly, they kind of blew it because Code Llama is good at coding, but it's bad at everything else, you know, and it used to be good. Yeah, I was pretty sure it was like, before they released it, me and lots of people in the open source discords were like, oh my God, you know, we know this is coming, Jan Lukinsk saying it's coming. I hope they kept at least like 50% non-code data because otherwise it's going to forget everything else. And they didn't, only like 0.3% of their epochs were non-code data. So it did, it forgot everything else. So now it's good at code and it's bad at everything else. So we definitely have catastrophic forgetting. It's fixable, just somebody has to do, you know, somebody has to spend their time training a model on a good mix of data. Like, so, okay, so here's the thing. Even though I originally created three-step approach that everybody now does, my view is it's actually wrong and we shouldn't use it. [00:44:36]Jeremy: And that's because people are using it in a way different to why I created it. You know, I created it thinking the task-specific models would be more specific. You know, it's like, oh, this is like a sentiment classifier as an example of a task, you know, but the tasks now are like a, you know, RLHF, which is basically like answer questions that make people feel happy about your answer. So that's a much more general task and it's a really cool approach. And so we see, for example, RLHF also breaks models like, you know, like GPT-4, RLHDEFT, we know from kind of the work that Microsoft did, you know, the pre, the earlier, less aligned version was better. And these are all kind of examples of catastrophic forgetting. And so to me, the right way to do this is to fine-tune language models, is to actually throw away the idea of fine-tuning. There's no such thing. There's only continued pre-training. And pre-training is something where from the very start, you try to include all the kinds of data that you care about, all the kinds of problems that you care about, instructions, exercises, code, general purpose document completion, whatever. And then as you train, you gradually curate that, you know, you gradually make that higher and higher quality and more and more specific to the kinds of tasks you want it to do. But you never throw away any data. You always keep all of the data types there in reasonably high quantities. You know, maybe the quality filter, you stop training on low quality data, because that's probably fine to forget how to write badly, maybe. So yeah, that's now my view, is I think ULM fit is the wrong approach. And that's why we're seeing a lot of these, you know, so-called alignment tacks and this view of like, oh, a model can't both code and do other things. And, you know, I think it's actually because people are training them wrong. [00:46:47]Swyx: Yeah, well, I think you have a clear [00:46:51]Alessio: anti-laziness approach. I think other people are not as good hearted, you know, they're like, [00:46:57]Swyx: hey, they told me this thing works. [00:46:59]Alessio: And if I release a model this way, people will appreciate it, I'll get promoted and I'll kind of make more money. [00:47:06]Jeremy: Yeah, and it's not just money. It's like, this is how citations work most badly, you know, so if you want to get cited, you need to write a paper that people in your field recognize as an advancement on things that we know are good. And so we've seen this happen again and again. So like I say, like zero shot and few shot learning, everybody was writing about that. Or, you know, with image generation, everybody just was writing about GANs, you know, and I was trying to say like, no, GANs are not the right approach. You know, and I showed again through research that we demonstrated in our videos that you can do better than GANs, much faster and with much less data. And nobody cared because again, like if you want to get published, you write a GAN paper that slightly improves this part of GANs and this tiny field, you'll get published, you know. So it's, yeah, it's not set up for real innovation. It's, you know, again, it's really helpful for me, you know, I have my own research lab with nobody telling me what to do and I don't even publish. So it doesn't matter if I get citations. And so I just write what I think actually matters. I wish there was, and, you know, and actually places like OpenAI, you know, the researchers there can do that as well. It's a shame, you know, I wish there was more academic, open venues in which people can focus on like genuine innovation. [00:48:38]Swyx: Twitter, which is unironically has become a little bit of that forum. I wanted to follow up on one thing that you mentioned, which is that you checked around the open source discords. I don't know if it's too, I don't know if it's a pusher to ask like what discords are lively or useful right now. I think that something I definitely felt like I missed out on was the early days of Luther AI, which is a very hard bit. And, you know, like what is the new Luther? And you actually shouted out the alignment lab AI discord in your blog post. And that was the first time I even knew, like I saw them on Twitter, never knew they had a discord, never knew that there was actually substantive discussions going on in there and that you were an active member of it. Okay, yeah. [00:49:23]Jeremy: And then even then, if you do know about that and you go there, it'll look like it's totally dead. And that's because unfortunately, nearly all the discords, nearly all of the conversation happens in private channels. You know, and that's, I guess. [00:49:35]Swyx: How does someone get into that world? Because it's obviously very, very instructive, right? [00:49:42]Jeremy: You could just come to the first AI discord, which I'll be honest with you, it's less bustling than some of the others, but it's not terrible. And so like, at least, to be fair, one of Emma's bustling channels is private. [00:49:57]Swyx: I guess. [00:49:59]Jeremy: So I'm just thinking. [00:50:01]Swyx: It's just the nature of quality discussion, right? Yeah, I guess when I think about it, [00:50:05]Jeremy: I didn't have any private discussions on our discord for years, but there was a lot of people who came in with like, oh, I just had this amazing idea for AGI. If you just thought about like, if you imagine that AI is a brain, then we, you know, this just, I don't want to talk about it. You know, I don't want to like, you don't want to be dismissive or whatever. And it's like, oh, well, that's an interesting comment, but maybe you should like, try training some models first to see if that aligns with your intuition. Like, oh, but how could I possibly learn? It's like, well, we have a course, just actually spend time learning. Like, you know, anyway. And there's like, okay, I know the people who always have good answers there. And so I created a private channel and put them all in it. And I got to admit, that's where I post more often because there's much less, you know, flight of fancy views about how we could solve AGI, blah, blah, blah. So there is a bit of that. But having said that, like, I think the bar is pretty low. Like if you join a Discord and you can hit the like participants or community or whatever button, you can see who's in it. And then you'll see at the top, who the admins or moderators or people in the dev role are. And just DM one of them and say like, oh, here's my GitHub. Well, here's some blog posts I wrote. You know, I'm interested in talking about this, you know, can I join the private channels? And I've never heard of anybody saying no. I will say, you know, Alutha's all pretty open. So you can do the Alutha Discord still. You know, one problem with the Alutha Discord is it's been going on for so long that it's like, it's very inside baseball. It's quite hard to get started. Yeah. Carpa AI looks, I think it's all open. That's just less stability. That's more accessible. [00:52:03]Swyx: Yeah. [00:52:04]Jeremy: There's also just recently, now it's research that does like the Hermes models and data set just opened. They've got some private channels, but it's pretty open, I think. You mentioned Alignment Lab, that one it's all the interesting stuff is on private channels. So just ask. If you know me, ask me, cause I've got admin on that one. There's also, yeah, OS Skunkworks, OS Skunkworks AI is a good Discord, which I think it's open. So yeah, they're all pretty good. [00:52:40]Swyx: I don't want you to leak any, you know, Discords that don't want any publicity, but this is all helpful. [00:52:46]Jeremy: We all want people, like we all want people. [00:52:49]Swyx: We just want people who like, [00:52:51]Jeremy: want to build stuff, rather than people who, and like, it's fine to not know anything as well, but if you don't know anything, but you want to tell everybody else what to do and how to do it, that's annoying. If you don't know anything and want to be told like, here's a really small kind of task that as somebody who doesn't know anything is going to take you a really long time to do, but it would still be helpful. Then, and then you go and do it. That would be great. The truth is, yeah, [00:53:19]Swyx: like, I don't know, [00:53:20]Jeremy: maybe 5% of people who come in with great enthusiasm and saying that they want to learn and they'll do anything. [00:53:25]Swyx: And then somebody says like, [00:53:25]Jeremy: okay, here's some work you can do. Almost nobody does that work. So if you're somebody who actually does the work and follows up, you will massively stand out. That's an extreme rarity. And everybody will then want to help you do more work. [00:53:41]Swyx: So yeah. [00:53:41]Jeremy: So just, yeah, just do work and people will want to support you. [00:53:47]Alessio: Our Discord used to be referral only for a long time. We didn't have a public invite and then we opened it and they're kind of like channel gating. Yeah. A lot of people just want to do, I remember it used to be like, you know, a forum moderator. [00:54:00]Swyx: It's like people just want to do [00:54:01]Alessio: like drive-by posting, [00:54:03]Swyx: you know, and like, [00:54:03]Alessio: they don't want to help the community. They just want to get their question answered. [00:54:07]Jeremy: I mean, the funny thing is our forum community does not have any of that garbage. You know, there's something specific about the low latency thing where people like expect an instant answer. And yeah, we're all somehow in a forum thread where they know it's like there forever. People are a bit more thoughtful, but then the forums are less active than they used to be because Discord has got more popular, you know? So it's all a bit of a compromise, you know, running a healthy community is, yeah, it's always a bit of a challenge. All right, we got so many more things [00:54:47]Alessio: we want to dive in, but I don't want to keep you here for hours. [00:54:50]Swyx: This is not the Lex Friedman podcast [00:54:52]Alessio: we always like to say. One topic I would love to maybe chat a bit about is Mojo, modular, you know, CrystalLiner, not many of you on the podcast. So we want to spend a little time there. You recently did a hacker's guide to language models and you ran through everything from quantized model to like smaller models, larger models, and all of that. But obviously modular is taking its own approach. Yeah, what got you excited? I know you and Chris have been talking about this for like years and a lot of the ideas you had, so. [00:55:23]Jeremy: Yeah, yeah, yeah, yeah, no, absolutely. So I met Chris, I think it was at the first TensorFlow Dev Summit. And I don't think he had even like, I'm not sure if he'd even officially started his employment with Google at that point. So I don't know, you know, certainly nothing had been mentioned. So I, you know, I admired him from afar with LLVM and Swift and whatever. And so I saw him walk into the courtyard at Google. It's just like, oh s**t, man, that's Chris Latner. I wonder if he would lower his standards enough to talk to me. Well, worth a try. So I caught up my courage because like nobody was talking to him. He looked a bit lost and I wandered over and it's like, oh, you're Chris Latner, right? It's like, what are you doing here? What are you doing here? And I was like, yeah, yeah, yeah. It's like, oh, I'm Jeremy Howard. It's like, oh, do you do some of this AI stuff? And I was like, yeah, yeah, I like this AI stuff. Are you doing AI stuff? It's like, well, I'm thinking about starting to do some AI stuff. Yeah, I think it's going to be cool. And it's like, wow. So like, I spent the next half hour just basically brain dumping all the ways in which AI was stupid to him. And he listened patiently. And I thought he probably wasn't even remember or care or whatever. But yeah, then I kind of like, I guess I re-caught up with him a few months later. And it's like, I've been thinking about everything you said in that conversation. And he like narrated back his response to every part of it, projects he was planning to do. And it's just like, oh, this dude follows up. Holy s**t. And I was like, wow, okay. And he was like, yeah, so we're going to create this new thing called Swift for TensorFlow. And it's going to be like, it's going to be a compiler with auto differentiation built in. And blah, blah, blah. And I was like, why would that help? [00:57:10]Swyx: You know, why would you? [00:57:10]Jeremy: And he was like, okay, with a compiler during the forward pass, you don't have to worry about saving context, you know, because a lot will be optimized in the backward. But I was like, oh my God. Because I didn't really know much about compilers. You know, I spent enough to kind of like, understand the ideas, but it hadn't occurred to me that a compiler basically solves a lot of the problems we have as end users. I was like, wow, that's amazing. Okay, you do know, right, that nobody's going to use this unless it's like usable. It's like, yeah, I know, right. So I was thinking you should create like a fast AI for this. So, okay, but I don't even know Swift. And he was like, well, why don't you start learning it? And if you have any questions, ask me. It's just like, holy s**t. Like, not only has Chris Latner lowered his standards enough to talk to me, but he's offering me personal tutoring on the programming language that he made. So I was just like, I'm not g

Het is 12.500 jaar geleden. Voor even is het weer ongelooflijk koud in ons land. De naaldbossen verdwijnen, en voor zo'n duizend jaar is Nederland weer een open toendra. Daarna schiet de temperatuur omhoog. De temperatuur stijgt zo'n 4 graden in 50 jaar. De jagers-verzamelaars zien het gebied waarin ze wonen voor hun ogen veranderen. In rap tempo komt het naaldbos, ook wel boreaal bos genoemd, terug. Ook de eerste loofbomen komen op.   In deze aflevering zijn te horen: geoloog Wim Hoek, historicus Dik van der Meulen, archeo-zoöloog Jørn Zeiler, archeoloog Nadine Lemmers en Vroege Vogels-verslaggevers Gert Elbertsen, Pleun Aarts, Henny Radstaak en Merlijn Schneiders.

Het is 15.000 jaar geleden. Het is al iets warmer, maar nog altijd koud. Vergeleken met enkele duizenden jaren terug is het vooral natter. De kale, desolate poolwoestijn is langzaam tot leven gekomen. Er zijn steeds meer planten en daardoor steeds meer dieren. Nederland is een toendra.  In deze aflevering zijn te horen: geoloog Wim Hoek, poolbioloog Maarten Loonen, paleontoloog Dick Mol, archeo-zoöloog Jørn Zeiler, ornitholoog Jesse Zwart en Vroege Vogels-verslaggevers Gert Elbertsen, Pleun Aarts, Henny Radstaak en Merlijn Schneiders.  

When the student is ready, the teacher will appear. This is a phrase that we often hear in the Super Entrepreneurs Podcast because it's very wise and true. Being coachable and willing to learn and overcome your weaknesses is the first step to success.   Join us in this episode to find out Shahid's backstory, Lucas & Kal's contribution to society, and a heartwarming message from a grateful father, whose 13-year-old suicidal kid found meaning in life after being coached.   What is MSM? MSM is a foundation dedicated to empowering young athletes to succeed in their sport and life by providing mental health and performance resources. Their focus on mental health and performance skills gives young athletes a competitive advantage both on and off the field.   Shahid Durrani's Key Insight: Shahid highlights the importance of being “coachable.”   Chatting with Lucas and Kal was a delightful experience for Shahid because he was never asked about how he got to this point in his life after he received his mentorship and became a certified mindset consultant.   Chapter Stamps:   00:00 Introductions: who are Lucas Zeiler & Kal Maadi and what is MSM? 01:10 Mental strength coaching for young athletes 03:15 Mind and body are one and the same 06:19 Finding true potential and unblocking limitations 08:44 Mindset is everything 09:45 Shahid's story with the inside-out paradigm and how he became a mindset coach 12:17 The inside-out paradigm 13:10 Why it's important to be coachable 16:12 You have to be coachable for this to work 17:09 Mindset is a game-changer 18:13 Strategy isn't enough (the Five F's) 21:00 The biggest gratification for a coach 23:21 Saving a 13-year-old suicidal kid with coaching (fathers message to coaches) 26:50  The equation of good and growth 17:37 Final words   Pullout Quotes: “When the student is ready, the teacher will appear.”   “Mind and bod are one and the same.”   “. It's impossible to help someone change who doesn't want to change, who doesn't acknowledge that change is necessary or positive for that matter.”   “I started realizing the inside-out paradigm, then I started working on that, and I started taking control of the thoughts, feelings, and actions. It became more clear. When that clarity happened, I put willpower, you start practicing, practice, practicing. The transformation that happens then is that when you start looking at things, your perception completely changes.”     Socials: The MSM Foundation: https://www.themsmfoundation.org/our-story Lucas Zeiler: https://www.zeilertrainingacademy.com/ Kal Maadi's LinkedIn: https://www.linkedin.com/in/kal-m-b0b93a184/   Shahid is muted for a bit 26:55 to 26:55)

While in LA, we sit down with Tiktok & IG Star, Ellie Zeiler! Ellie rose to fame over the pandemic by sharing about her life and navigating the teen years while also working with major brands, and discussing topics from politics to what's for dinner. Now, Ellie boasts over 12.5 Million followers across platforms. We talk about her rise to fame, living on her own now and the reality of how she keeps going online centered in her “why”. We also chat about her podcast, I'll Be Your Sister and the heart behind it. Follow Ellie @EllieZeiler on Tiktok & IG and listen to her podcast “I'll Be Your Sister” Please note that this episode may contain paid endorsements and advertisements for products and services. Individuals on the show may have a direct or indirect financial interest in products or services referred to in this episode   Go to www.hiyahealth.com/PAPAYA and get 50% off your first order

In this episode, we are joined by Lucas Zeiler, the Founder of MSM Performance Academy, which helps families guide their children to reach College and Professional levels in the best way possible, teaching them the fundamentals to maintain sound minds and bodies, while performing optimally, both physically and mentally. MSM aims to offer mental and physical performance training and empower youth sports athletes, student-athletes, and professional athletes to become leaders of themselves. Through The MSM Foundation, the academy teaches players how to reach optimal levels of mental and physical performance. Tune in to learn more!

Today's guest is Ellie Zeiler, an 18 year-old social media influencer, model, actress, and podcaster who boasts almost 11 million followers on TikTok. In this episode, we discuss Ellie's experiences as a social media creator and her advice for teens, including how to find your identity and build self-confidence, overcome bullying, use social media in a healthy way, become more independent, navigate relationships with friends and family, and stay on top of your mental health. Ellie's Instagram: https://www.instagram.com/elliezeiler/MENTIONED+ Ellie's TikTok+ Ellie's Youtube+ Ellie's Podcast+ Ellie's podcast ep. on independence + Asana SHOP GUEST RECOMMENDATIONS: https://amzn.to/3A69GOCEPISODE SPONSOR

At just 18 years old, Ellie Zeiler has built a community of over 12.5 million followers across social media. As a high schooler when the COVID-19 shutdown happened, Ellie used her free time to start creating content on TikTok, and has now become one of the most notable names on the platform for her fun, easygoing, big sister-like content across fashion, beauty, and lifestyle. She's partnered with brands like Fendi, Dior, Levi's, and Lancome, and worked with the White House last year to help push important initiatives like voting, restoring abortion rights, and more to her audience. In this episode, Ellie gives a behind-the-scenes look at becoming a full-time content creator, her best tips for social media growth, and a look at her new podcast, I'll Be Your Sister. Follow Ellie here https://www.instagram.com/elliezeiler/ Listen to I'll Be Your Sister here https://podcasts.apple.com/us/podcast/ill-be-your-sister-with-ellie-zeiler/id1654629420 Love the show? Follow us and leave a review! And for more behind-the-scenes, follow Liv on Instagram, @LivvPerez.    Produced by Dear Media This episode may contain paid endorsements and advertisements for products and services. Individuals on the show may have a direct, or indirect financial interest in products, or services referred to in this episode.

We are joined for headlines by Bryce in person (fresh off his arrest at Hyde this weekend) with Bri and Josh after they flew to meet up with Bri on her last tour stop. We go over what really happened with Bryce's arrest, Charli singing for the first time on the D'Amelio show, Tyra Banks refusing to get Landon Barker's name right, Kanye West going off (again) on social media, TwitchCon breaking people's backs, Nelk and Bob Menery feuding, Logan Paul being clowned over cheating comments, Jake Paul wanting to fight Draymond Green after his leaked sucker punch video, Bryce thoughts on Addison and Omer, and the backlash at Chris Pratt over his Mario voice. We finish up the first section of the show with BFFs corner where we dig in what is going on with Bri/Bryce/Grace/Josh on tour, Bri skipping the 100th episode for Mr. Breast, and whether or not Josh is back with Ellie after their trip to Denver last week. We then have our interview with Steve-O and his dog Wendy and discuss everything from Jackass, to his inability to quit chasing fame, sex addiciton, and his love for the UFC and Barstool's own Paddy the Baddy and Molly the Meatball. Support Our Sponsors! Raising Canes: Get your Cane's fix fast by ordering through their app or online at https://barstool.link/RaisingCanesBSS Takis: Try Takis and face the intensity!

Today's edition is the second of four in our “What the World Watches” audio series from Singapore's APOS conference for paid subscribers only. Our regular format resumes later this week.In May, Warner Bros. Discovery CEO David Zaslav referred to his company as “the largest international business” in media. In charge of that broad operation is Gerhard Zeiler, Warner Bros. Discovery International President (he also held that role at the former WarnerMedia). The Wakeup's Sean McNulty sat down with Zeiler in Singapore at the recent APOS conference. Among the highlights:* A reassertion of the company's fervent belief in the exclusive theatrical window (01:36)* What's going on inside the company (with nods to colleagues JB Perrette, Casey Bloys, Mike De Luca and Pam Abdy) * How the combined HBO Max-Discovery streamer will roll out (07:14)* The future of CNN around the globe (16:58)* WBD's international sports plays (11:51)* The plan for international ad tiers and additional geographic expansion (19:32)A transcript of this conversation is available to paid subscribers. Follow us (and like us!) wherever you listen to your favorite podcasts, and on Twitter. Also please subscribe at TheAnkler.com for more podcasts and stories about the entertainment industry. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit theankler.com/subscribe

If you'd like access to lots more episodes without limits- support us at https://www.patreon.com/ArtBell from only $5 per month. Thank you! 2002-01-23 - Coast to Coast AM with Art Bell - George Zeiler - MUFON, Investigating the Romanek UFO Sighting ##Note## The episodes will only remain in this free feed for the current month. If you'd like access to lots more episodes without limits- support us at https://www.patreon.com/ArtBell from only $5 per month. Thank you!

Welcome back to The Viall Files, Going Deeper edition! Today we are joined by TikTok Star and Influencer, Ellie Zeiler! On this new episode of Going Deeper we dive deep with our guest, asking about her recent breakup, how social media has made moving on worse, how dating is a lot more complicated when you're an influencer, the best places to find people to date, and why it's important to work on yourself not just when you're single. We also dive into some pop culture news, talking about Sofia Vergara leaking the wedding of Wells Adams and Sarah Hyland, the shocking divorces from Love Is Blind alumni, and the breaking news that Christine Quinn will be leaving Selling Sunset and how this split will probably be better for her. We then welcome on two Texting Office Hours callers where our first caller wants help with shooting her shot with a guy that she thinks she has a 50% chance of success with. But after not hanging out with him for a while, she wonders how she can ask him out on a date without seeming like she cares too much. Our second caller wonders how to deal with a girl she's been talking to, who only seems to text our caller when she's bored. Worried that this person may be a catfish, we help our caller build up the courage to test this person by asking them to meet at a local coffee shop, deciding to block them if they flake.  “No breakups are mutual.”  Please make sure to subscribe so you don't miss an episode and as always send in your relationship questions to asknick@kastmedia.com to be a part of our Monday episodes.  If you would like to get some advice on Office Hours send an email to asknick@kastmedia.com with “Office Hours” in the subject line!  Be sure to check out my sports radio show Fandemonium, Wednesdays @ 3PT / 6 ET  on Amazon's Amp app.  Click the link to download Amp using my code NICKVIALL https://apps.apple.com/us/app/amp-host-live-radio-shows/id1586403838 Pre-Order Nick's Book: https://www.abramsbooks.com/product/dont-text-your-ex-happy-birthday_9781419755491/ Check out our new "Introvert" merch at http://www.viallfiles.com today! THANK YOU TO OUR SPONSORS: Betterhelp: Our listeners get 10% off their first month at http://www.BetterHelp.com/VIALLFILES.  Away Travel: Start your 100-day trial and shop the entire Away lineup of travel essentials, including their best-selling suitcases and bags at http://www.AwayTravel.com /viall. Figs: FIGS believes the awesome humans in healthcare deserve awesome scrubs to match. Head to http://www.wearFIGS.com and use code VIALL to get 15% off your first order. Episode Socials: @viallfiles@nickviall@elliezeilerSee omnystudio.com/listener for privacy information.

Medienmanager Gerhard Zeiler (SPÖ) über Österreichs Präsidentschaftswahlkampf, warum die NATO ihn nicht abschreckt und wie unter Pamela Rendi-Wagner eine Ampel mit Grünen und Neos Österreich erneuern könnte. Ein Sommergespräch mit Eva Konzett und Raimund Löw.Ein Hinweis zur Werbung im Podcast: Mit dem Code FALTER erhalten Sie das 6-Monatsabo von Babbel zum Preis von nur 3 Monaten. Das Angebot gilt bis zum 31.10.2022. Einfach auf babbel.com/audio einlösen und loslegen! Our GDPR privacy policy was updated on August 8, 2022. Visit acast.com/privacy for more information.

The legendary JW is back to tell a couple stories about filling up Cowboy boots, Icy hot in the shorts. We tell a couple great stories about our friend Lee Zeiler to honor his memory.

Today's rabies prophylaxis is almost 100% effective at preventing human death from the bite of a rabid animal. How did people come to understand rabies, and then develop a vaccination for it? Research: Etymologia: Rabies. Emerg Infect Dis [serial on the Internet]. 2012 Jul [date cited]. http://dx.doi.org/10.3201/eid1807.ET1807 Velasco-Villa, Andres et al. “The history of rabies in the Western Hemisphere.” Antiviral research vol. 146 (2017): 221-232. doi:10.1016/j.antiviral.2017.03.013 Pearce JLouis Pasteur and Rabies: a brief noteJournal of Neurology, Neurosurgery & Psychiatry 2002;73:82. Wendt, Diane. “Surviving rabies 100 years ago.” National Museum of American History. 10/28/2013. https://americanhistory.si.edu/blog/2013/10/surviving-rabies-100-years-ago.html Blancou, Jean. “The Evolution of Rabies Epidemiology in Wildlife.” Director General, Office International des Épizooties. https://www.vetmed.ucdavis.edu/sites/g/files/dgvnsk491/files/inline-files/EVOLUTION_RABIES_EPIDEMIOLOGY_WILDLIFE.pdf Lite, Jordan. “Medical Mystery: Only One Person Has Survived Rabies without Vaccine--But How?.” Scientific American. 10/8/2008. https://www.scientificamerican.com/article/jeanna-giese-rabies-survivor/ Zeiler, Frederick A., and Alan C. Jackson. “Critical Appraisal of the Milwaukee Protocol for Rabies: This Failed Approach Should Be Abandoned.” Canadian Journal of Neurological Sciences / Journal Canadien Des Sciences Neurologiques, vol. 43, no. 1, 2016, pp. 44–51., doi:10.1017/cjn.2015.331. Morbidity and Mortality Weekly Report. “Mass Treatment of Humans Exposed to Rabies -- New Hampshire, 1994.” 7/7/1995. https://www.cdc.gov/mmwr/preview/mmwrhtml/00038110.htm Ledesma, Leandro Augusto et al. “Comparing clinical protocols for the treatment of human rabies: the Milwaukee protocol and the Brazilian protocol (Recife).” Revista da Sociedade Brasileira de Medicina Tropical vol. 53 e20200352. 6 Nov. 2020, doi:10.1590/0037-8682-0352-2020 Braus, Patricia. "Rabies." The Gale Encyclopedia of Science, edited by Katherine H. Nemeh and Jacqueline L. Longe, 6th ed., vol. 6, Gale, 2021, pp. 3671-3673. Gale In Context: Science, link.gale.com/apps/doc/CX8124402043/GPS?u=mlin_n_melpub&sid=bookmark-GPS&xid=fb022ca3. Accessed 13 Apr. 2022. Gelfand, Toby. “11 January 1887, the Day Medicine Changed: Joseph Grancher's Defense of Pasteur's Treatment for Rabies.” Bulletin of the History of Medicine, Volume 76, Number 4, Winter 2002, pp. 698-718 (Article). Published by Johns Hopkins University Press https://doi.org/10.1353/bhm.2002.0176 Nadal, Deborah. “A Child, A Dog, A Virus and an Anthropologist.” Practicing Anthropology, Fall 2016, Vol. 38, No. 4. Via JSTOR. https://www.jstor.org/stable/10.2307/26539805 Botting, Jack H. “Rabies.” From Animals and Medicine: The Contribution of Animal Experiments to the Control of Disease. Open Book Publishers. (2015). Via JSTOR. https://www.jstor.org/stable/j.ctt15m7ng5.7  Baer, George M. “The History of Rabies.” From Rabies: Second Edition. Edited by Alan C. Jackson and William H. Wunner. 2007. Jackson, Alan C. “History of Rabies Research.” From: Rabies: Scientific Basis of the Disease and Its Management. Third Edition. 2013. Hansen, Bert. “America's First Medical Breakthrough: How Popular Excitement about a French Rabies Cure in 1885 Raised New Expectations for Medical Progress.” The American Historical Review , Apr., 1998, Vol. 103, No. 2. Via JSTOR. https://www.jstor.org/stable/2649773 See omnystudio.com/listener for privacy information.

We start the show off with the shocker of all shockers: Tana Mongeau bailed on the pod 20 minutes before we started recording with the same excuse as last time. Luckily, Ellie Zeiler just happened to be at Josh's house and filled in. Dave eviscerates Tana to start the pod, we then get into headlines and talk Grammy's, Noah Beck's new movie, James Charles maybe getting a BBL, Sydney Sweenie's grandparents seeing her nude, and more. We also get into the controversy caused by our title makers with last week's Mads Lewis and Loren Gray title, Bri's social media drama that has spilled into real life, and end the show with a "Tik Tok Awards" game that actually just turns into a roast of Josh, Bri, and Dave. Support Our Sponsors: Coinbase: Sign up at https://barstool.link/CoinbaseBFF for $10 in free Bitcoin. Gametime: Download the Gametime app and redeem code BFF for $20 off your first purchase (terms apply).

Today's guest is digital creator and TikTok star, Ellie Zeiler, who has over 10 million followers on TikTok. And we also have her mom, Sarah Zeiler (who also has a platform of her own) on the podcast, and today is going to be a deep dive behind the scenes. And it's not going to be about creating content, so to speak, but we're going to get deep. We're going to get real. We're going to talk about mental health. We're going to talk about how it impacts family dynamics. We're going to talk about how it impacts parenting. We're going to talk about how to deal with bullying. We're going to talk about addiction. We're going to talk about boundaries. We're going to talk about what it's like getting famous as a teenager and so much more!  Thanks to this episode's sponsor: BiOptimizers/Magnesium Breakthrough: Go to www.magbreakthrough.com/doug and use the code DOUG10 to save 10 percent when you try Magnesium Breakthrough. Earth Echo Foods/Cacao Bliss: www.earthechofoods.com/dougbopst Use Promo code "Doug" at checkout to receive 15% off your order  What to Listen For: 00:00 Intro 01:47 Biggest misconception about the digital creative space 06:45 Treating TikTok fame as a full time job 10:58 Best practices in handling online hate 17:19 Sticking to your passion on the creative side 26:53 A mix of random videos and dance trends 29:46 Has there been a mentor? 31:42 Getting addicted to the hustle of social media 38:38 Boundaries set around gadget use 42:27 Handling fame in a way that's healthy 46:06 Taking care of your mental health 52:19 Familial support 57:52 Going down other paths but staying consistent with what you do 58:53 Be vulnerable with your kids    Episode Resources: Ellie Zeiler | TikTok, YouTube, Instagram  Sarah Zeiler | Instagram, Twitter, Tiktok Follow me on Social Media: LinkedIn Instagram Twitter

A sermon from Luke 18:9-14 in our Luke: Good News for Everyone series given by Mark Zeiler.

Louis sits down with Ellie Zeiler as they talk almost being cancelled six flags, David Dobrik, and more!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Wie funktioniert Markenaufbau aus der Sicht der Creator auf TikTok? Nach der Schule widmet sich Kris seinem Nebenjob: Mit 19 Jahren gehört er zu den erfolgreichsten Schweizer Creator auf TikTok. Kris Grippo hat drei Millionen Follower auf TikTok und nahezu eine Millionen auf Instagram. Stolze 103.6 Millionen Likes sammeln sich auf seinem TikTok Profil. Als Creator teilt er Videos von sich beim Lip-Synch, Tanzen oder geht viralen Trends nach. In der aktuelle Podcastfolge berichtet er über seine Karriere auf TikTok und spricht über sein Business: Wie lang braucht er für die Kreation eines TikToks von der Idee bis zum Upload? Was verdient er an Markenkooperationen? Wie geht er mit aktuellen politischen Krisen auf seinem Kanal um? Zum Transkript: https://www.dropbox.com/t/3Ek34ERGioiph0Ij Timecodes: 2:05 Wie hat Kris angefangen mit TikTok? 6:20 Kreation eines TikToks - von der Idee bis zum Uplaod 12:05 Collaborations 13:44 Strategie 17:30 Wie geht Kris mit Krisen um? 23:36 Geld verdienen auf TikTok 40:45 Kritik an TikTok Werbepartner in dieser Folge: Intermate Intermate sucht tatkräftige Unterstützung. Intermate ist eine wachsende Full Service Social Media und Influencer Agentur mit ca. 100 Expert:innen in Berlin, Hamburg und Köln. Ihr sucht nach einer neuen Herausforderung im Social Media oder Influencer:innen Bereich? Dann checkt die offenen Stellen bei Intermate auf INTERMATE HOME aus und schreibt einen 3-Zeiler an podcast@intermate.de. Die Kolleg:innen melden sich bei euch! Hier findest du mehr über mich: Website Instagram LinkedIn Impressum Hier findest du mehr über Kris: TikTok Instagram Let's rock it, deine Anni

Kim and Grandma Gail talk to 17-year-old Ellie Zeiler and her mom Sarah Zeiler. Ellie gained fame on TikTok over the pandemic and now has a following of more than 10.5 million. They discuss what goes into creating content on the platform, how their mother/daughter relationship has evolved, dealing with negativity on social media and … Excuse My Grandma's Chat with a TikTok Star (Ft. Ellie Zeiler and Sarah Zeiler)  Read More »

ellie zeiler sits down with us this week and surprises us with her music taste.   she golfs and runs into jacob elordi while working out.