Podcast appearances and mentions of Kevin Kelly

“If this idea… the idea of overcoming one fear a day scares you, then keep reading.”I wrote this line three years ago.I was doing a photo challenge. I asked Chase Jarvis, one of the best photographers in the world and the founder of Creative Live, “What should I do?”I wanted to know how to take a good photo.He asked me what I liked.I said, “Sad people.”So he told me to shoot through the lens of “connection.” So I went inside. And looked for my inner compass.I went to eat.Then I saw the man. He was a balding guy in his 60s waiting to be served. He told me he just arrived after a 17-hour trip from Italy. He said, "I am tired."And I shot him.I shot him before my daughter left for college. Before I became a stepdad. Before stand-up comedy. Before Trump. Before #metoo. Before phone addiction (sort of). Before a lot of things.“That photograph is evidence,” Chase said. “It's evidence that we're all creative… Wildy.”But not everyone believes that.Because they've blocked it for too many years.But you can get it back.Chase explains how in his book, “Creative Calling: Establish a Daily Practice, Infuse Your World with Meaning, and Succeed in Work + Life.”And he explains the DNA of creativity on my podcast. Here's a list of everything we talk about. Including quotes from Chase and tips on how to start your daily creative process today:I introduce Chase Jarvis, one of the best photographers in the world and founder of Creative Live – [3:35]How Chase helped me hone my creative muscle three years ago – [4:32]“We're all creative, wildly” – Chase Jarvis – [8:18]The wrong way to think about creativity – [8:48]“When you're in your purest element of creativity, you're not judging. You can't be creative and judging at the same time.” – Chase Jarvis – [10:20]Three key principles of Chase's book:1. Everyone is creative2. Creativity is not a skill. It's a habit. It's a process, not a product.3. Creativity is a muscle. – [13:08]How creating in small ways every day leads to the habit of creativity – [15:29]The myth of creativity: some people are creative and some people aren't. Chase explains where this myth came from – [16:49]Proof that we are “self-expression machines.” And proof that society makes us scared to be creative – [19:11]I ask Chase about mastery – [21:19]Chase tells us what Creative Live is and what kind of classes they have available for you – [23:56]I ask Chase about fear and self-doubt- [24:51]How to get to know the things you're supposed to be doing in this world. And how Chase figured this out for himself, too – [25:25]I ask Chase if building a business made him fearful of losing his roots in photography -[27:22]How to know if something is the right path for you – [28:05]Know when to shift directions. How to know if you're following the flame in your life. Or not – [29:45]Why you're loved ones don't support your dreams and want you to do what's safe…- [30:14]“Now is the riskiest time in human history to do the thing that has always been safe. Because the world is changing so fast. If you don't have a life and connection and a passion for what you're doing, you're going to be isolated. You're going to be lonely. You're going to be sick. It's not safe to do what everybody else wants. The safest thing, in your journey, is to be inexcusable unapologetically you.” – Chase Jarvis – [31:00]We look at how Chase combined two passions and became the best in the world at the intersection of his two passions – [32:22]Why society doesn't teach us to be creative – [34:01]The power of experimentation – [35:21]I ask Chase how he initially started developing his internal flame and love for photography – [36:00]Why Chase doesn't give The A-Z steps to find your path… because everyone's path is different and unique. – [39:40]How a teacher killed Chase's dreams. And shift led to his identity. – [42:00]How Chase rediscovered his creativity 20 years after his teacher crushed him – [44:00]How to be more in tune with yourself. Chase says how he realized he was denying his creative self – [47:40]How Chase taught himself how to take pictures – [48:20]Tip: learn from virtual mentors – [50:29]Why do you have to document your work and analyze it for improvement? – [52:40]Chase talks about trading food for the ability to learn – [55:00]“Learning gets easy when you're doing something that resonates internally” – Chase Jarvis – [55:56]When you start anything, you're going to suck. Embrace this. – [57:03]Measure how much you love something. vs how much you're frustrated by something. Then use this to know where the flame is for you – [58:24]The importance of having the right community… one where you feel welcome – [1:00:14]How to develop a community around your work – [1:01:18]Article recommendation: “A Thousand True Fans” by Kevin Kelly – [1:01:46]Every path is different. The best time to start a new creative endeavor is 10 years ago. And today – [1:02:28]The advantage and danger of having competition in your community – [1:03:25]The importance of asking yourself, “How does this make me feel?” about a person or community or task, job, creative project, etc. – [1:04:21]Why not paying attention to how people and situations can make you feel leads you down the wrong path – [1:05:12]How to tell who your people are. And who they aren't. – [1:06:09]Listen to your calling. “It's not always a trumpet,” Chase said. “It's a whisper and that whisper is inside of you. And it doesn't look like a map. Because a map shows you, ‘I'm here and I'm going to follow this path and I'm going to end up here.' It's way more a compass. And a compass is just an arrow that gets you in a direction.” – [1:07:15]How Chase dealt with burnout at the peak of his career – [1:08:23]The first photo-sharing app was created by Chase. He said, “That ended up being one of my biggest professional successes and failures at the same time” –  [1:10:18]I ask Chase what mistakes he made in creating his photo-sharing app – [1:11:38]Six critical lessons to learn from Chase – [1:14:30]I ask Chris how someone who's 40, 50, 60 years old can start to listen to their inner compass when it's been blocked for so long – [1:15:24]Step 1: call yourself a creative. Math is creative. Science is creative. No matter what you do, somehow you're creating in small ways – [1:17:08]Chase gives some experiments that you can do to start today – [1:18:42]Why this book resonated with me – [1:21:45]Rejection therapy. Try this to advance in ability faster – [1:22:34]“Being willing to be uncomfortable is a huge opportunity.” – Chase Jarvis – [1:24:42]Proof that “people want to help you when you do crazy shit”- [1:26:46]The one exercise Chase does every morning to make himself get out of his comfort zone – [1:28:22]I thank Chase for coming on the show and breaking down the DNA of creativity. And why his book is the Bible of creativity – [1:29:05]-----------What do YOU think of the show? Head to JamesAltucherShow.com/listeners and fill out a short survey that will help us better tailor the podcast to our audience!Are you interested in getting direct answers from James about your question on a podcast? Go to JamesAltucherShow.com/AskAltucher and send in your questions to be answered on the air!------------Visit Notepd.com to read our idea lists & sign up to create your own!My new book, Skip the Line, is out! Make sure you get a copy wherever books are sold!Join the You Should Run for President 2.0 Facebook Group, where we discuss why you should run for President.I write about all my podcasts! Check out the full post and learn what I learned at jamesaltucher.com/podcast.------------Thank you so much for listening! If you like this episode, please rate, review, and subscribe  to “The James Altucher Show” wherever you get your podcasts: Apple PodcastsStitcheriHeart RadioSpotifyFollow me on Social Media:YouTubeTwitterFacebook

Excellent Advice for Living by Kevin Kelly is a refreshing blend of business wisdom, life lessons, and personal growth strategies. Kevin Kelly, a renowned creator and entrepreneur, shares 68 small pieces of advice that are both valuable and applicable not only to our businesses but also to our personal lives.  In this episode, Omar highlights […] The post MBA2398 Must Read: Excellent Advice for Living by Kevin Kelly appeared first on The $100 MBA.

Juan and I are experiencing firsts & lasts with our loved ones, moments that may or may not be lost in time.In Episode #423 of 'Musings', Juan & I discuss: the connection between moments and memories, why the last time of something can also be the first of something else, our tricks for enjoying the good/bad moments of life, what Juan did after slipping on his driveway and how life journaling could alter our perception of reality. Massive thanks to Dave Jones & Cole McCormick for the support. Checkout the book review collab I did with Cole for 'The Inevitable' by Kevin Kelly: https://www.youtube.com/live/OtF73p1v48UTimeline:(0:00) - Intro(1:21) - What's a moment?(7:36) - Have we had more recently?(15:24) - Intentionally not remembering(20:48) - How to improve recall(32:52) - Boostagram Lounge(37:01) - Does technology change the game?(49:07) - Hedonic treadmill/adaptation(51:49) - Negatives hurt more(54:58) - Summary(57:22) - Juan enjoys pain(1:00:39) - Teasing for next week(1:02:57) - V4V: Time, talent & treasureValue 4 Value Support:Boostagram: https://www.meremortalspodcast.com/supportPaypal: https://www.paypal.com/paypalme/meremortalspodcastGet Some Sats: https://lightsats.com/tips/clo6iyhiq057sqx7u43h7wshw/claimConnect with Mere Mortals:Website: https://www.meremortalspodcast.com/Discord: https://discord.gg/jjfq9eGReUTwitter/X: https://twitter.com/meremortalspodInstagram: https://www.instagram.com/meremortalspodcast/TikTok: https://www.tiktok.com/@meremortalspodcastSupport the show

Will the psychology of humans be compatible with the predicted tech future we face?'The Inevitable' by Kevin Kelly is a series of technological trends that he believes will dictate the future. It is primarily based on what is already happening and his educated guess as to how this will manifest in a couple of decades time. It is broken down into 12 themes which interact and merge with each other. It is somewhat utopic in nature but I feel does a decent job of showcasing what could be possible and at the very least is thought provoking.Thanks to Cole McCormick from the AMERICAPLUS podcast for the guest voice-over and Cole/Sam Sethi for the support.Timeline:(0:00) - Intro(1:43) - Initial Impression(3:38) - Plot/Style(5:31) - Quote 1(7:48) - Themes/Questions(8:16) - Quote 2(11:26) - Privacy & Utopias(17:06) - Author & Extras(18:54) - Quote 3(20:43) - Summary(25:15) - Boostagram Lounge(29:55) - Value 4 ValueValue 4 Value Support:Boostagram: https://www.meremortalspodcast.com/supportPaypal: https://www.paypal.com/paypalme/meremortalspodcastGet Some Sats: https://lightsats.com/tips/clo6iyhiy058vqx7u7z8oln8s/claimConnect with Mere Mortals:Website: https://www.meremortalspodcast.com/Discord: https://discord.gg/jjfq9eGReUTwitter/X: https://twitter.com/meremortalspodInstagram: https://www.instagram.com/meremortalspodcast/TikTok: https://www.tiktok.com/@meremortalspodcast

Many of us have heard the famous Kevin Kelly phrase, "To make a living as a craftsperson, photographer, musician, designer, author, animator, app maker, entrepreneur, or inventor, you need only a thousand true fans." When you get those TRUE fans, they're willing to support your endeavors. However, there is a difference between all of those followers you have on your social media accounts and those thousand true fans. The true fans are one of the building blocks of your community. They are the ones who will genuinely be with you on your journey to develop your voice, build your brand, and establish your authority. But, that's just one part of what it takes to build a solid community. In this episode, the first of two, Chris talks with Tom Ross of Design Cuts about what a community is and how to build one. Tom generously shares his invaluable insights and expert knowledge on key community-building questions. They will discuss the intricacies of engagement levels and how they can fluctuate, and highlight the importance of having a clear, compelling offering for your community. He'll also provide practical strategies for distribution and delve into the potentially challenging topic of how to rejuvenate a stagnant community, breathing new life into it. This is part one of a two part conversation. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In today's world, we tend to switch jobs more frequently than previous generations, and are more likely to have multiple jobs. Side gigs where we express passions or find meaning are also common, and many juggle additional roles as caregivers and community members, as people always have. In short, many of us are focused on a lot more than just climbing a corporate ladder. Our careers and lives aren't linear, although a lot of the traditional advice about them is. Where do we look for updated guidance? In this panel discussion, three authors with recent books on finding our way in the world come together for a discussion on making life choices in modern times. Writer and speaker Bruce Feiler interviewed hundreds of people across the country for “The Search: Finding Meaningful Work in a Post-Career World.” Wired Magazine co-founder and co-chair of the Long Now Foundation, Kevin Kelly, compiled his lessons and experiences into a book inspired by his children called “Excellent Advice for Living: Wisdom I Wish I'd Known Earlier.” And journalist Joanne Lipman moderates the conversation and shares what she learned writing “Next! The Power of Reinvention in Life and Work.”

When we heard The FUMP were putting together a tribute to Tom Lehrer, we knew we had to get involved. DX28 raided TL's extensive musical catalog and we unanimously decided to record a rendition of Mr. Lehrer's song "Selling Out". Special Thanks to Tom Lehrer, We hope that our version doesn't make him regret writing this awesome song. Lyrics and Music Originally written by: Tom Lehrer. Music by: Dead by 28 Vocals: Dizman Keyboards/Programming: Keymaster Guitars: Sissie Schitz Bass: The Grim Reefer Drums: Blue-Beard Mixing by: Shawn Shaheen, Kevin Kelly, Matt Burgie Final Mixing and Production by: Shawn Shaheen Black 13 Recordings.

More wrestling babies are born! Their names are Ibushi and Ospreay and their new daddy Tony Khan is very proud. Plus, Kenny King, Kevin Kelly, and other news involving people without the initials K.K.. Become a Patreon Palski and support the show while getting access to the live chat, the Watchalong Wednesday series, the pre-show and more! http://www.patreon.com/pwpalskis   Get official merchandise at www.dragonwagonshop.com  Smark out with the boys on our official Discord https://discord.gg/gcRb48rkw3  Pro Wrestling Palskis is part of the Dragon Wagon Radio independent podcast network.

Kevin Kelly is Senior Maverick at Wired magazine. He co-founded Wired in 1993, and served as its Executive Editor for its first seven years. His newest book is Excellent Advice for Living, a book of 450 modern proverbs for good living. He is co-chair of The Long Now Foundation, a membership organization that champions long-term thinking and acting as a good ancestor to future generations. And he is founder of the popular Cool Tools website, which has been reviewing tools daily for 20 years. From 1984-1990 Kelly was publisher and editor of the Whole Earth Review, a subscriber-supported journal of unorthodox conceptual news. He co-founded the ongoing Hackers' Conference, and was involved with the launch of the WELL, a pioneering online service started in 1985. Other books by Kelly include 1) The Inevitable, a New York Times and Wall Street Journal bestseller, 2) Out of Control, his 1994 classic book on decentralized emergent systems, 3) The Silver Cord, a graphic novel about robots and angels, 4) What Technology Wants, a robust theory of technology, and 5) Vanishing Asia, his 50-year project to photograph the disappearing cultures of Asia.  He is best known for his radical optimism about the future.

We return from a brief hiatus to begin our coverage of the 38th running of the round robin heavyweight tag team tournament known as WORLD TAG LEAGUE. Prior to talking about the field and the first 2 nights of Block action, we catch you up on all the events that occurred outside of Japan as well as in Japan leading up to the tourney plus the news of the long time voice of English commentary Kevin Kelly's departure after 8 years; plus we discuss a current champion in NJPW signing with a major promotion in the US plus many more topics. Follow us on Facebook: ⁠⁠⁠⁠⁠https://www.facebook.com/NoSpotsPod⁠⁠⁠⁠⁠ Follow us on Twitter: @TruNoSpotsPod Subscribe to our YouTube channel: ⁠⁠⁠⁠⁠https://www.youtube.com/channel/UCHGYRJVH8MB90IPcxKVY6Yg/⁠⁠⁠⁠⁠ Follow Us On Twitch: ⁠⁠⁠⁠⁠https://twitch.tv/trunospotspod⁠⁠⁠⁠⁠ Leave us questions/comments here: ⁠⁠⁠⁠⁠https://anchor.fm/no-spots-podcast/message⁠⁠⁠⁠⁠ Follow us on TikTok: @TruNoSpotsPod

Blake and Sal go old school this week as they do the show by themselves previewing AEW Full Gear and talk about other wrestling news like Logan Paul retiring from boxing, Rey Mysterio had another surgery, Kevin Kelly is officially leaving NJPW and much more. Plus some talk about the end of the SAG-AFTRA strike, Big Brother and more craziness. Enjoy the show! Final week to vote in The 2023 Blake & Sal Show Awards: https://www.surveymonkey.com/r...

Will Electric Vehicles be mandatory in the state?  Senator Kevin Kelly discusses the possibility of a ban on gas powered vehicle sales 

Today's wrestling news, including...Cody Rhodes Won't Let The Rock RUIN WrestleMania 40!Major Changes To WWE Stable!Kevin Kelly Leaves NJPW!WWE's Modern Day Randy Savage?!ENJOY!Follow us on Twitter:@AdamWilbourn@AndyHMurray@WhatCultureWWE Hosted on Acast. See acast.com/privacy for more information.

Stephen Fletcher talks to local musician and composer Teresa Carrig who has composed a Mass setting for St Imy and she tells me about the connections Killimer has with St Imy, who was the sister of St Senan back in the 5th C. He also speaks to Brid O'Mahoney the accompanist and choir member about how the Killimer choir is about more than just music. And we have three pieces from the choir especially recorded for Beyond Belief in St Imy's Church in Killimer. In the coming months new boards of management for our Co Clare primary schools are being put in place. Fr Gerry Kenny has been talking to Kevin Kelly to find out more about how these boards are formed and what they do. And Stephen catches up with Fr Gerry for one of their regular chats over coffee and cake and Sr Ann Crowley gives us her reflection as we approach Advent.

Welcome to Creative Principles! In this special episode, we're sharing the audiobook version of Ink by the Barrel - Secrets From Prolific Writers by author Brock Swinson, which is based on interviews from this very podcast. It's our mission to give away 100,000 copies of the book in 2023! We've given away thousands of copies already. To help our cause, please share these episodes and you can also get the PDF version of the book here: www.brockswinson.com/ink Inside this book, you'll learn groundbreaking secrets, such as… - Annihilate Writer's Block by Embracing Elizabeth Gilbert's "Playful Trickster" Mentality - Learn to Weaponize Your Anxiety with Kevin Kelly's "Different is Better" Approach - Defend Your Time with Ryan Holiday's "Calendar Anorexia" Mindset ​ - Create Ruthless Prioritization with Stephen Covey's "Urgent Versus Important" System ​ - Uncover the Truth About "Magic" with Raymond Teller's Steps to Avoid Self-Sabotage If you enjoy the podcast, would you please consider leaving a short review on Apple Podcasts? It only takes about 60 seconds and it really helps convince some of the hard-to-get guests to sit down and have a chat (simply scroll to the bottom of your Apple Podcast app and click “Write Review"). Enjoy the show!

Do you truly know yourself? Have you ever wondered about your multidimensional identity —the many layers of who we are and to whom— and the role it plays in finding your purpose? Well, Sakshi Shukla knows, and she's going to take you on her journey of self-discovery. Today, I delve into a profound conversation with Sakshi about her transformation from a medical professional to a successful content strategist, and the pivotal role self-awareness played in this journey. And of course, how she found purpose in all of this. Sakshi on Twitter: https://twitter.com/thesakshishukla00:00:00 Kevin Kelly's Impact on Identity00:08:11 The Problem With Following Best Practices00:14:51 Discovering Identity and Building Confidence00:21:54 Forgiveness and Embracing Uncertainty Importance00:33:55 Navigating Identity and Education Choices00:39:18 Accepting Different Dimensions of Identity00:44:35 Finding Support and Empowering WomenThis episode is sponsored by Acquire.comThe blog post: https://thebootstrappedfounder.com/sakshi-shukla-understanding-identity-and-being-the-only-one/The podcast episode: https://share.transistor.fm/s/23b7e7e3The video: https://www.youtube.com/watch?v=5oe_qJBMkOYYou'll find my weekly article on my blog: https://thebootstrappedfounder.comPodcast: https://thebootstrappedfounder.com/podcastNewsletter: https://thebootstrappedfounder.com/newsletterMy book Zero to Sold: https://zerotosold.com/My book The Embedded Entrepreneur: https://embeddedentrepreneur.com/My course Find Your Following: https://findyourfollowing.comHere are a few tools I use. Using my affiliate links will support my work at no additional cost to you.- Notion (which I use to organize, write, coordinate, and archive my podcast + newsletter): https://affiliate.notion.so/465mv1536drx- Riverside.fm (that's what I recorded this episode with): https://riverside.fm/?via=arvid- TweetHunter (for speedy scheduling and writing Tweets): http://tweethunter.io/?via=arvid- HypeFury (for massive Twitter analytics and scheduling): https://hypefury.com/?via=arvid60- AudioPen (for taking voice notes and getting amazing summaries): https://audiopen.ai/?aff=PXErZ- Descript (for word-based video editing, subtitles, and clips): https://www.descript.com/?lmref=3cf39Q- ConvertKit (for email lists, newsletters, even finding sponsors): https://convertkit.com?lmref=bN9CZw (00:00) - Kevin Kelly's Impact on Identity (08:11) - The Problem With Following Best Practices (14:51) - Discovering Identity and Building Confidence (21:54) - Forgiveness and Embracing Uncertainty Importance (33:55) - Navigating Identity and Education Choices (39:18) - Accepting Different Dimensions of Identity (44:35) - Finding Support and Empowering Women

We live in a world of information, and boy is it magical! Here is some more information for you to ingest, and digest! Exclamation point! In this episode of a wrestling podcast, Doug and Bill cover an array of information! This week the boys cover Stan Hansen, bootlegs, 5 paragraph essays, cool kids that steal candy, Doug's Battleground Pro Wrestling experience, AEW figures, Bill explains why .22 calibers are used in serial killings, Rosa Parks, Ryzin working Doug, upcoming shows for Prescott Pro Wrestling, CORE Professional Wrestling, Southern Xtreme Professional Wrestling, Heartland Championship Wrestling, Impact Zone Wrestling, Devotion Championship Wrestling, & Primos Pro Wrestling, Scream 2 spoilers, Athena, Kevin Kelly, boneless buffalo wings, and so much more. Information is important, feed your mind! This week's episode is brought to you by Urban Egg, with locations up and down the Front Range, you can get sage in your gravy, OH SHIT!   Songs Used In the Podcast: “Rosa Parks” by Outkast on Aquemini  “Steal My Sunshine” by Len on You Can't Stop the Bum Rush “To Hell With Poverty!” by Gang of Four on Another Day, Another Dollar “Edgecrusher” by Fear Factory on Obsolete “Bloody Mary” by Lady Gaga on Born This Way   Where To Find Everything Else: Website Page For The Podcast    

Welcome to Creative Principles! In this special episode, we're sharing the audiobook version of Ink by the Barrel - Secrets From Prolific Writers by author Brock Swinson, which is based on interviews from this very podcast. It's our mission to give away 100,000 copies of the book in 2023! We've given away thousands of copies already. To help our cause, please share these episodes and you can also get the PDF version of the book here: www.brockswinson.com/ink Inside this book, you'll learn groundbreaking secrets, such as… - Annihilate Writer's Block by Embracing Elizabeth Gilbert's "Playful Trickster" Mentality - Learn to Weaponize Your Anxiety with Kevin Kelly's "Different is Better" Approach - Defend Your Time with Ryan Holiday's "Calendar Anorexia" Mindset ​ - Create Ruthless Prioritization with Stephen Covey's "Urgent Versus Important" System ​ - Uncover the Truth About "Magic" with Raymond Teller's Steps to Avoid Self-Sabotage If you enjoy the podcast, would you please consider leaving a short review on Apple Podcasts? It only takes about 60 seconds and it really helps convince some of the hard-to-get guests to sit down and have a chat (simply scroll to the bottom of your Apple Podcast app and click “Write Review"). Enjoy the show!

Welcome to Creative Principles! In this special episode, we're sharing the audiobook version of Ink by the Barrel - Secrets From Prolific Writers by author Brock Swinson, which is based on interviews from this very podcast. It's our mission to give away 100,000 copies of the book in 2023! We've given away thousands of copies already. To help our cause, please share these episodes and you can also get the PDF version of the book here: www.brockswinson.com/ink Inside this book, you'll learn groundbreaking secrets, such as… - Annihilate Writer's Block by Embracing Elizabeth Gilbert's "Playful Trickster" Mentality - Learn to Weaponize Your Anxiety with Kevin Kelly's "Different is Better" Approach - Defend Your Time with Ryan Holiday's "Calendar Anorexia" Mindset ​ - Create Ruthless Prioritization with Stephen Covey's "Urgent Versus Important" System ​ - Uncover the Truth About "Magic" with Raymond Teller's Steps to Avoid Self-Sabotage If you enjoy the podcast, would you please consider leaving a short review on Apple Podcasts? It only takes about 60 seconds and it really helps convince some of the hard-to-get guests to sit down and have a chat (simply scroll to the bottom of your Apple Podcast app and click “Write Review"). Enjoy the show!

Kevin Kelly is a senior maverick at Wired, an award-winning magazine he co-founded in 1993. He joined us today to talk about his book, Excellent Advice for Living: Wisdom I Wish I'd Known Earlier, a book of 450 modern proverbs for good living.Kevin shares his wisdom and insights on a variety of topics, including the importance of taking sabbaticals to avoid burnout, the power of deliberate practice in expanding our response to stimuli, and the necessity of change in a fast-paced world. From hiring practices to the value of saying no politely, Kevin's perspective is thought-provoking and actionable. So grab your headphones and get ready to embark on a journey of growth with Kevin Kelly on The Growth Guide.  [05.58] Enthusiasm – Enthusiasm is far more important than being smart. [14.42] Respect – We talk about the reason we have to respect someone's ideas even if we don't like them.[22.40] Change - You have to be careful about changing for the sake of change.[29.13] Resting – Kevin explains the importance of resting and how it's going to increase your productivity. [33.22] Asking questions – Kevin explains how to ask questions of strangers that will get them interested in talking with you.[36.02] Polite but firm – We talk about our right to say ‘no' to something or someone and why we don't owe a reason to do that. [45.00] How to do it - Doing something and having it not work is how you're going to learn to make it work.[56.04] Time – Time is the most precious thing in the world that cannot be bought with money. ResourcesTwitter - twitter.com/kevin2kelly YouTube – youtube.com/user/Kevin2Kelly Website - kk.org/ Book by Kevin KellyExcellent Advice for Living: Wisdom I Wish I'd Known Earlieramazon.com/Excellent-Advice-Living-Wisdom-Earlier/dp/0593654528 Book by James ClearAtomic Habits: An Easy & Proven Way to Build Good Habits & Break Bad Onesamazon.com/Atomic-Habits-Proven-Build-Break/dp/0735211299 Book by Portola InstituteWhole Earth Catalog, Access to Tools (Spring, 1970)amazon.com/Whole-Earth-Catalog-Access-Spring/dp/B083B6WWLY/ Book by Carol ChristenWhat Color Is Your Parachute? for Teens, Fourth Edition: Discover Yourself, Design Your Future, and Plan for Your Dream Jobamazon.com/What-Color-Parachute-Teens-Fourth/dp/1984858629/ Book by Daniel H. PinkThe Adventures of Johnny Bunko: The Last Career Guide You'll Ever Needamazon.com/Adventures-Johnny-Bunko-Career-Guide/dp/1594482918/ Book by Bruce FeilerThe Secrets of Happy Families: Improve Your Mornings, Tell Your Family History, Fight Smarter, Go Out and Play, and Much Moreamazon.com/Secrets-Happy-Families-Improve-Mornings/dp/0061778745/ 

Welcome to Creative Principles! In this special episode, we're sharing the audiobook version of Ink by the Barrel - Secrets From Prolific Writers by author Brock Swinson, which is based on interviews from this very podcast. It's our mission to give away 100,000 copies of the book in 2023! We've given away thousands of copies already. To help our cause, please share these episodes and you can also get the PDF version of the book here: www.brockswinson.com/ink Inside this book, you'll learn groundbreaking secrets, such as… - Annihilate Writer's Block by Embracing Elizabeth Gilbert's "Playful Trickster" Mentality - Learn to Weaponize Your Anxiety with Kevin Kelly's "Different is Better" Approach - Defend Your Time with Ryan Holiday's "Calendar Anorexia" Mindset ​ - Create Ruthless Prioritization with Stephen Covey's "Urgent Versus Important" System ​ - Uncover the Truth About "Magic" with Raymond Teller's Steps to Avoid Self-Sabotage If you enjoy the podcast, would you please consider leaving a short review on Apple Podcasts? It only takes about 60 seconds and it really helps convince some of the hard-to-get guests to sit down and have a chat (simply scroll to the bottom of your Apple Podcast app and click “Write Review"). Enjoy the show!

Welcome to Creative Principles! In this special episode, we're sharing the audiobook version of Ink by the Barrel - Secrets From Prolific Writers by author Brock Swinson, which is based on interviews from this very podcast. It's our mission to give away 100,000 copies of the book in 2023! We've given away thousands of copies already. To help our cause, please share these episodes and you can also get the PDF version of the book here: www.brockswinson.com/ink Inside this book, you'll learn groundbreaking secrets, such as… - Annihilate Writer's Block by Embracing Elizabeth Gilbert's "Playful Trickster" Mentality - Learn to Weaponize Your Anxiety with Kevin Kelly's "Different is Better" Approach - Defend Your Time with Ryan Holiday's "Calendar Anorexia" Mindset ​ - Create Ruthless Prioritization with Stephen Covey's "Urgent Versus Important" System ​ - Uncover the Truth About "Magic" with Raymond Teller's Steps to Avoid Self-Sabotage If you enjoy the podcast, would you please consider leaving a short review on Apple Podcasts? It only takes about 60 seconds and it really helps convince some of the hard-to-get guests to sit down and have a chat (simply scroll to the bottom of your Apple Podcast app and click “Write Review"). Enjoy the show!

Welcome to Creative Principles! In this special episode, we're sharing the audiobook version of Ink by the Barrel - Secrets From Prolific Writers by author Brock Swinson, which is based on interviews from this very podcast. It's our mission to give away 100,000 copies of the book in 2023! We've given away thousands of copies already. To help our cause, please share these episodes and you can also get the PDF version of the book here: www.brockswinson.com/ink Inside this book, you'll learn groundbreaking secrets, such as… - Annihilate Writer's Block by Embracing Elizabeth Gilbert's "Playful Trickster" Mentality - Learn to Weaponize Your Anxiety with Kevin Kelly's "Different is Better" Approach - Defend Your Time with Ryan Holiday's "Calendar Anorexia" Mindset ​ - Create Ruthless Prioritization with Stephen Covey's "Urgent Versus Important" System ​ - Uncover the Truth About "Magic" with Raymond Teller's Steps to Avoid Self-Sabotage If you enjoy the podcast, would you please consider leaving a short review on Apple Podcasts? It only takes about 60 seconds and it really helps convince some of the hard-to-get guests to sit down and have a chat (simply scroll to the bottom of your Apple Podcast app and click “Write Review"). Enjoy the show!

Today's show features that new car smell as we enter the first full week of November. Today we're talking about GM's voluntary salary increases, a new Dealer survey revealing their level of trust in OEM's, as well as another take on on-demand features built into cars. General Motors (GM) has announced a pay raise and improved benefits for its 43,500 U.S. salaried employees, following a tentative agreement with the United Auto Workers (UAW) union.GM's salaried employees will receive an average base pay increase of 3.5% in March 2024.The company will enhance its 401(k) match from 4% to 6% and improve certain medical and vision benefits.These changes follow a tentative agreement with the UAW, which covers about 46,000 employees and includes significant raises and richer benefits."GM provides competitive compensation and benefits for salaried employees, benchmarked across industries," stated GM spokesperson Kevin Kelly. "Next year, GM will increase base pay and company matching for 401(k) plans, as well as offer enhanced health care benefits."A Dealer survey by Kerrigan Advisors reveals their trust levels of various OEMs. The annual dealer survey shows a shift in dealers' sentiment towards various car brands, with some expecting an increase and others a decline in franchise values.Ford perceived as the least trustworthy brand by nearly half of the dealers, with concerns over its EV/future retailing strategy.Toyota emerges as the most trustworthy brand, with 72% of dealers expressing high trust, attributed to its thoughtful EV strategy.A majority of dealers remain optimistic about their dealership values, with 52% expecting valuations to remain the sameChanges in automaker strategies, particularly regarding over-the-air updates and agency models, have dealers divided on future profitability impacts.Erin Kerrigan, Managing Director of Kerrigan Advisors, stated, 'Dealers' trust in their manufacturer partners is crucial, especially when evaluating dealership value. Our survey reflects a dynamic shift in the industry, underscored by the strategic realignments towards evolving consumer demands and electric vehicle strategies.'Despite skepticism, Audi has announced plans to offer more 'on-demand' features in future models, according to a report by Autocar, insisting that the move is customer-driven rather than profit-oriented.Audi to introduce an array of 'on-demand' features, controllable via the Audi phone app, in response to purported customer demand.Tech lead Oliver Hoffmann emphasizes that the motive is not purely profit-based, but to cater to customer desires for new functionalities.Current electronic models already include advanced lighting options and a parking assistant, with undisclosed additional features planned.Hoffmann acknowledges the challenges faced by BMW in similar endeavors but predicts such features will become 'quite normal in the future'.Hosts: Paul J Daly and Kyle MountsierGet the Daily Push Back email at https://www.asotu.com/ JOIN the conversation on LinkedIn at: https://www.linkedin.com/company/asotu/ Read our most recent email at: https://www.asotu.com/media/push-back-email ASOTU Instagram: https://www.instagram.com/automotivestateoftheunion

Welcome to Creative Principles! In this special episode, we're sharing the audiobook version of Ink by the Barrel - Secrets From Prolific Writers by author Brock Swinson, which is based on interviews from this very podcast. It's our mission to give away 100,000 copies of the book in 2023! We've given away thousands of copies already. To help our cause, please share these episodes and you can also get the PDF version of the book here: www.brockswinson.com/ink Inside this book, you'll learn groundbreaking secrets, such as… - Annihilate Writer's Block by Embracing Elizabeth Gilbert's "Playful Trickster" Mentality - Learn to Weaponize Your Anxiety with Kevin Kelly's "Different is Better" Approach - Defend Your Time with Ryan Holiday's "Calendar Anorexia" Mindset ​ - Create Ruthless Prioritization with Stephen Covey's "Urgent Versus Important" System ​ - Uncover the Truth About "Magic" with Raymond Teller's Steps to Avoid Self-Sabotage If you enjoy the podcast, would you please consider leaving a short review on Apple Podcasts? It only takes about 60 seconds and it really helps convince some of the hard-to-get guests to sit down and have a chat (simply scroll to the bottom of your Apple Podcast app and click “Write Review"). Enjoy the show!

Welcome to Creative Principles! In this special episode, we're sharing the audiobook version of Ink by the Barrel - Secrets From Prolific Writers by author Brock Swinson, which is based on interviews from this very podcast. It's our mission to give away 100,000 copies of the book in 2023! We've given away thousands of copies already. To help our cause, please share these episodes and you can also get the PDF version of the book here: www.brockswinson.com/ink Inside this book, you'll learn groundbreaking secrets, such as… - Annihilate Writer's Block by Embracing Elizabeth Gilbert's "Playful Trickster" Mentality - Learn to Weaponize Your Anxiety with Kevin Kelly's "Different is Better" Approach - Defend Your Time with Ryan Holiday's "Calendar Anorexia" Mindset ​ - Create Ruthless Prioritization with Stephen Covey's "Urgent Versus Important" System ​ - Uncover the Truth About "Magic" with Raymond Teller's Steps to Avoid Self-Sabotage If you enjoy the podcast, would you please consider leaving a short review on Apple Podcasts? It only takes about 60 seconds and it really helps convince some of the hard-to-get guests to sit down and have a chat (simply scroll to the bottom of your Apple Podcast app and click “Write Review"). Enjoy the show!

Welcome to Creative Principles! In this special episode, we're sharing the audiobook version of Ink by the Barrel - Secrets From Prolific Writers by author Brock Swinson, which is based on interviews from this very podcast. It's our mission to give away 100,000 copies of the book in 2023! We've given away thousands of copies already. To help our cause, please share these episodes and you can also get the PDF version of the book here: www.brockswinson.com/ink Inside this book, you'll learn groundbreaking secrets, such as… - Annihilate Writer's Block by Embracing Elizabeth Gilbert's "Playful Trickster" Mentality - Learn to Weaponize Your Anxiety with Kevin Kelly's "Different is Better" Approach - Defend Your Time with Ryan Holiday's "Calendar Anorexia" Mindset ​ - Create Ruthless Prioritization with Stephen Covey's "Urgent Versus Important" System ​ - Uncover the Truth About "Magic" with Raymond Teller's Steps to Avoid Self-Sabotage If you enjoy the podcast, would you please consider leaving a short review on Apple Podcasts? It only takes about 60 seconds and it really helps convince some of the hard-to-get guests to sit down and have a chat (simply scroll to the bottom of your Apple Podcast app and click “Write Review"). Enjoy the show!

Welcome to Creative Principles! In this special episode, we're sharing the audiobook version of Ink by the Barrel - Secrets From Prolific Writers by author Brock Swinson, which is based on interviews from this very podcast. It's our mission to give away 100,000 copies of the book in 2023! We've given away thousands of copies already. To help our cause, please share these episodes and you can also get the PDF version of the book here: www.brockswinson.com/ink Inside this book, you'll learn groundbreaking secrets, such as… - Annihilate Writer's Block by Embracing Elizabeth Gilbert's "Playful Trickster" Mentality - Learn to Weaponize Your Anxiety with Kevin Kelly's "Different is Better" Approach - Defend Your Time with Ryan Holiday's "Calendar Anorexia" Mindset ​ - Create Ruthless Prioritization with Stephen Covey's "Urgent Versus Important" System ​ - Uncover the Truth About "Magic" with Raymond Teller's Steps to Avoid Self-Sabotage If you enjoy the podcast, would you please consider leaving a short review on Apple Podcasts? It only takes about 60 seconds and it really helps convince some of the hard-to-get guests to sit down and have a chat (simply scroll to the bottom of your Apple Podcast app and click “Write Review"). Enjoy the show!

Welcome to Creative Principles! In this special episode, we're sharing the audiobook version of Ink by the Barrel - Secrets From Prolific Writers by author Brock Swinson, which is based on interviews from this very podcast. It's our mission to give away 100,000 copies of the book in 2023! We've given away thousands of copies already. To help our cause, please share these episodes and you can also get the PDF version of the book here: www.brockswinson.com/ink Inside this book, you'll learn groundbreaking secrets, such as… - Annihilate Writer's Block by Embracing Elizabeth Gilbert's "Playful Trickster" Mentality - Learn to Weaponize Your Anxiety with Kevin Kelly's "Different is Better" Approach - Defend Your Time with Ryan Holiday's "Calendar Anorexia" Mindset ​ - Create Ruthless Prioritization with Stephen Covey's "Urgent Versus Important" System ​ - Uncover the Truth About "Magic" with Raymond Teller's Steps to Avoid Self-Sabotage If you enjoy the podcast, would you please consider leaving a short review on Apple Podcasts? It only takes about 60 seconds and it really helps convince some of the hard-to-get guests to sit down and have a chat (simply scroll to the bottom of your Apple Podcast app and click “Write Review"). Enjoy the show!

Welcome to Creative Principles! In this special episode, we're sharing the audiobook version of Ink by the Barrel - Secrets From Prolific Writers by author Brock Swinson, which is based on interviews from this very podcast. It's our mission to give away 100,000 copies of the book in 2023! We've given away thousands of copies already. To help our cause, please share these episodes and you can also get the PDF version of the book here: https://www.brockswinson.com/ink Inside this book, you'll learn groundbreaking secrets, such as… - Annihilate Writer's Block by Embracing Elizabeth Gilbert's "Playful Trickster" Mentality - Learn to Weaponize Your Anxiety with Kevin Kelly's "Different is Better" Approach - Defend Your Time with Ryan Holiday's "Calendar Anorexia" Mindset ​ - Create Ruthless Prioritization with Stephen Covey's "Urgent Versus Important" System ​ - Uncover the Truth About "Magic" with Raymond Teller's Steps to Avoid Self-Sabotage If you enjoy the podcast, would you please consider leaving a short review on Apple Podcasts? It only takes about 60 seconds and it really helps convince some of the hard-to-get guests to sit down and have a chat (simply scroll to the bottom of your Apple Podcast app and click “Write Review"). Enjoy the show!

Welcome to Creative Principles! In this special episode, we're sharing the audiobook version of Ink by the Barrel - Secrets From Prolific Writers by author Brock Swinson, which is based on interviews from this very podcast. It's our mission to give away 100,000 copies of the book in 2023! We've given away thousands of copies already. To help our cause, please share these episodes and you can also get the PDF version of the book here: www.brockswinson.com/ink Inside this book, you'll learn groundbreaking secrets, such as… - Annihilate Writer's Block by Embracing Elizabeth Gilbert's "Playful Trickster" Mentality - Learn to Weaponize Your Anxiety with Kevin Kelly's "Different is Better" Approach - Defend Your Time with Ryan Holiday's "Calendar Anorexia" Mindset ​ - Create Ruthless Prioritization with Stephen Covey's "Urgent Versus Important" System ​ - Uncover the Truth About "Magic" with Raymond Teller's Steps to Avoid Self-Sabotage If you enjoy the podcast, would you please consider leaving a short review on Apple Podcasts? It only takes about 60 seconds and it really helps convince some of the hard-to-get guests to sit down and have a chat (simply scroll to the bottom of your Apple Podcast app and click “Write Review"). Enjoy the show!

Welcome to Creative Principles! In this special episode, we're sharing the audiobook version of Ink by the Barrel - Secrets From Prolific Writers by author Brock Swinson, which is based on interviews from this very podcast. It's our mission to give away 100,000 copies of the book in 2023! We've given away thousands of copies already. To help our cause, please share these episodes and you can also get the PDF version of the book here: www.brockswinson.com/ink Inside this book, you'll learn groundbreaking secrets, such as… - Annihilate Writer's Block by Embracing Elizabeth Gilbert's "Playful Trickster" Mentality - Learn to Weaponize Your Anxiety with Kevin Kelly's "Different is Better" Approach - Defend Your Time with Ryan Holiday's "Calendar Anorexia" Mindset ​ - Create Ruthless Prioritization with Stephen Covey's "Urgent Versus Important" System ​ - Uncover the Truth About "Magic" with Raymond Teller's Steps to Avoid Self-Sabotage If you enjoy the podcast, would you please consider leaving a short review on Apple Podcasts? It only takes about 60 seconds and it really helps convince some of the hard-to-get guests to sit down and have a chat (simply scroll to the bottom of your Apple Podcast app and click “Write Review"). Enjoy the show!

Kevin Kelly is the voice of AEW Collision, and shares the story of how that came to be! He recounts his first conversation with Tony Khan, his first experience at AEW Collision, and building chemistry and flow with Nigel McGuinness. He breaks down his announcing influences and style, how he developed his voice, and the differences between calling taped matches verses a live television show! He speaks to his announcing careers with New Japan Pro Wrestling and ROH, how that storytelling differs from AEW, and what it was like to work with Kenny Omega and The Young Bucks then. Plus, Kevin reveals the role that Billy Gunn played in his wrestling career, some of the special matches he's called through the years, and he makes a prediction about MJF vs Jay White coming up at AEW Full Gear!   Thank you for supporting our sponsors! FitBod: Get 25% off your subscription or try the app FREE at https://FitBod.me/AEW Factor: Go to https://FactorMeals.com/AEW50 and use promo code AEW50 to get 50% offSee omnystudio.com/listener for privacy information.

Nouvelle FAQ sur le podcast MOUVERS. Au programme, quels sont les mouvements fondamentaux à maintenir tout au long de sa vie, comment quitter le salariat et atteindre une indépendance financière et une liberté géographique, peut-on démarrer sur YouTube en 2023 et combattre son syndrome de l'imposteur, la sortie de mes nouvelles formations pour réhabiliter les hanches, guérir de ses pathologies, et développer un corps à l'épreuve des douleurs et des blessures. Chapitres : 00:00 Introduction10:07 (JDBM) La citation de Kevin Kelly 17:21 (JDBM) Les News MOUVERS et la sortie des nouvelles formations sur l'Académie MOUVERS26:47 (JDBM) Mises à jour sur ma santé, mes entrainements, mon alimentation37:28 (JDBM) L'outil que je recommande : Chat GPT41:19 (JDBM) La ressource que j'ai envie de partager : théorie sur One Piece et conférence de Pierre Etchart sur Vérisme TV44:51 (JDBM) Mes intentions pour les prochaines semaines48:55 Passage à la FAQ50:50 Q1 : En appliquant la loi de Pareto, quels sont les mouvements les plus importants pour la traction ? (Rudy)01:08:58 Q2 : Je suis passionné par la santé holistique, mais j'ai peur de ne pas être légitime quand je vois le niveau où vous en êtes. Crois-tu qu'il est possible de démarrer Youtube en tant que débutant ? (Quentin)01:22:51 Q3 : Combien d'argent il me faut pour vivre ? A partir de quand je peux arrêter le salariat pour me lancer dans mon projet entrepreneurial ? (Mike)01:38:58 Q4 : Comment assouplir mes hanches pour pouvoir tenir la position accroupie et renforcer mes chevilles pour des déplacements en boxe plus rapide et plus fluide ? (Hayate)01:52:52 Q5 : Est-ce qu'il y a des coaches MOUVERS en France ? (Tony)Très bonne écoute les mouvers !Je mentionne dans cette FAQ :- Le MENTORAT HOLISTIQUE™ pour créer son projet entrepreneurial, développer sa pratique du mouvement, créer des habitudes positives dans sa vie- La formation RETABLIR LA POMPE™, RETABLIR LA TRACTION™, JAMAIS MAL AUX GENOUX™, JAMAIS MAL AUX HANCHES™, JAMAIS MAL AUX CHEVILLES™- Les fiches récapitulatives des FAQLes notes, les liens, les ressources de cet épisode :➡️ https://nomadslim.com/podcast/faq/30-10-2023-nomad-slim/Connecter avec MOUVERSApprends à bouger ton corps librement avec les FORMATIONS™ et le DOJO™Forme-toi au Mouvement et à la Mobilité avec les CERTIFICATIONS™Rejoins notre Réseau Social Privé : COMMUNAUTÉ™Reçois ta Dose de Mouvement Matinale dans mes Support the show

Kevin Kelly described a Six-transmembrane epithelial antigen of the prostate 1 (STEAP1) bispecific T cell engager showing activity in a phase 1 trial in prostate cancer.

Support our sponsor by using the link below for the special Solomonster offer!BETTERHELP - Get 10 PERCENT OFF your first month and give online therapy a try at http://www.betterhelp.com/solomonster to start being your best self. Thanks to BetterHelp for sponsoring this week's episode!In a surprising turn of events, Impact Wrestling has announced that starting in 2024, it will be reverting back to TNA Wrestling. Solomonster has the latest on what's changing, why the move is happening and why it won't do a single thing to help grow their brand without some important actions being taken. He also discusses a Survivor Series sellout in Chicago... why a possible BRAND WARFARE edition of War Games would be a terrible idea... LA Knight challenging Roman Reigns for the Undisputed Championship at Crown Jewel... the return of Bianca Belair and why a heel turn against Charlotte Flair could be a repeat of what we saw in 2018. Then, he discusses the announcement that STING will be retiring at next year's AEW Revolution event, the parallels between Sting and the Ultimate Warrior as champion, the times he ALMOST signed with WWE and the disappointment that resulted when he finally did, Tony Khan's booking of Sting in AEW and who his final opponent(s) might be, plus he ranks the TEN BEST MATCHES of Sting's career... Kenny Omega challenging MJF for the AEW World Championship on COLLISION next week?... AEW announces OKADA for a match on Dynamite this week and what it could mean for the Tokyo Dome... Tony Schiavone replaces Kevin Kelly as the lead announce voice on Collision and why it happened... Jerry Lawler gives his first interview since his massive stroke... the NWA's new television home REVEALED with more details on the deal... and TONS of your questions answered on topics including Karrion Kross taking a page out of the Sean O'Haire playbook, the push of Nia Jax, one underrated feud from the Attitude Era, booking a Finn Balor vs. GUNTHER match, why DDP should've been the guy to end Goldberg's streak, and who fills the Mount Rushmores of WWE eras?***Follow Solomonster on Twitter for news and opinion:http://www.twitter.com/solomonsterSubscribe to the Solomonster Sounds Off on YouTube:https://www.youtube.com/user/TheSolomonster?sub_confirmation=1Become a Solomonster Sounds Off Channel Member:https://www.youtube.com/channel/UC9jcg7mk93fGNqWPMfl_Aig/joinThis show is part of the Spreaker Prime Network, if you are interested in advertising on this podcast, contact us at https://www.spreaker.com/show/5582990/advertisement

A creative-writing professor discusses Icelandic mythology, as told in the Viking-inspired sagas — and how a summer backpacking trek around the island nation helped him understand the role these tales play in Iceland's modern-day culture. Then futurist and Wired founder Kevin Kelly looks back on his journeys to document, over nearly 50 years, many of the traditions and features now quickly vanishing across Asia. And experts share advice for fall travels to England's gardens and stone circles, and for understanding British slang. For more information on Travel with Rick Steves - including episode descriptions, program archives and related details - visit www.ricksteves.com.

Thanks to the over 11,000 people who joined us for the first AI Engineer Summit! A full recap is coming, but you can 1) catch up on the fun and videos on Twitter and YouTube, 2) help us reach 1000 people for the first comprehensive State of AI Engineering survey and 3) submit projects for the new AI Engineer Foundation.See our Community page for upcoming meetups in SF, Paris, NYC, and Singapore. This episode had good interest on Twitter.Last month, Imbue was crowned as AI's newest unicorn foundation model lab, raising a $200m Series B at a >$1 billion valuation. As “stealth” foundation model companies go, Imbue (f.k.a. Generally Intelligent) has stood as an enigmatic group given they have no publicly released models to try out. However, ever since their $20m Series A last year their goal has been to “develop generally capable AI agents with human-like intelligence in order to solve problems in the real world”.From RL to Reasoning LLMsAlong with their Series A, they announced Avalon, “A Benchmark for RL Generalization Using Procedurally Generated Worlds”. Avalon is built on top of the open source Godot game engine, and is ~100x faster than Minecraft to enable fast RL benchmarking and a clear reward with adjustable game difficulty.After a while, they realized that pure RL isn't a good path to teach reasoning and planning. The agents were able to learn mechanical things like opening complex doors, climbing, but couldn't go to higher level tasks. A pure RL world also doesn't include a language explanation of the agent reasoning, which made it hard to understand why it made certain decisions. That pushed the team more towards the “models for reasoning” path:“The second thing we learned is that pure reinforcement learning is not a good vehicle for planning and reasoning. So these agents were able to learn all sorts of crazy things: They could learn to climb like hand over hand in VR climbing, they could learn to open doors like very complicated, like multiple switches and a lever open the door, but they couldn't do any higher level things. And they couldn't do those lower level things consistently necessarily. And as a user, I do not want to interact with a pure reinforcement learning end to end RL agent. As a user, like I need much more control over what that agent is doing.”Inspired by Chelsea Finn's work on SayCan at Stanford, the team pivoted to have their agents do the reasoning in natural language instead. This development parallels the large leaps in reasoning that humans have developed as the scientific method:“We are better at reasoning now than we were 3000 years ago. An example of a reasoning strategy is noticing you're confused. Then when I notice I'm confused, I should ask:* What was the original claim that was made? * What evidence is there for this claim? * Does the evidence support the claim? * Is the claim correct? This is like a reasoning strategy that was developed in like the 1600s, you know, with like the advent of science. So that's an example of a reasoning strategy. There are tons of them. We employ all the time, lots of heuristics that help us be better at reasoning. And we can generate data that's much more specific to them.“The Full Stack Model LabOne year later, it would seem that the pivot to reasoning has had tremendous success, and Imbue has now reached a >$1B valuation, with participation from Astera Institute, NVIDIA, Cruise CEO Kyle Vogt, Notion co-founder Simon Last, and others. Imbue tackles their work with a “full stack” approach:* Models. Pretraining very large (>100B parameter) models, optimized to perform well on internal reasoning benchmarks, with a ~10,000 Nvidia H100 GPU cluster lets us iterate rapidly on everything from training data to architecture and reasoning mechanisms.* Tools and Agents. Building internal productivity tools from coding agents for fixing type checking and linting errors, to sophisticated systems like CARBS (for hyperparameter tuning and network architecture search).* Interface Invention. Solving agent trust and collaboration (not merely communication) with humans by creating better abstractions and interfaces — IDEs for users to program computers in natural language.* Theory. Publishing research about the theoretical underpinnings of self-supervised learning, as well as scaling laws for machine learning research.Kanjun believes we are still in the “bare metal phase” of agent development, and they want to take a holistic approach to building the “operating system for agents”. We loved diving deep into the Imbue approach toward solving the AI Holy Grail of reliable agents, and are excited to share our conversation with you today!Timestamps* [00:00:00] Introductions* [00:06:07] The origin story of Imbue* [00:09:39] Imbue's approach to training large foundation models optimized for reasoning* [00:12:18] Imbue's goals to build an "operating system" for reliable, inspectable AI agents* [00:15:37] Imbue's process of developing internal tools and interfaces to collaborate with AI agents* [00:17:27] Imbue's focus on improving reasoning capabilities in models, using code and other data* [00:19:50] The value of using both public benchmarks and internal metrics to evaluate progress* [00:21:43] Lessons learned from developing the Avalon research environment* [00:23:31] The limitations of pure reinforcement learning for general intelligence* [00:28:36] Imbue's vision for building better abstractions and interfaces for reliable agents* [00:31:36] Interface design for collaborating with, rather than just communicating with, AI agents* [00:37:40] The future potential of an agent-to-agent protocol* [00:39:29] Leveraging approaches like critiquing between models and chain of thought* [00:45:49] Kanjun's philosophy on enabling team members as creative agents at Imbue* [00:53:51] Kanjun's experience co-founding the communal co-living space The Archive* [01:00:22] Lightning RoundShow Notes* Imbue* Avalon* CARBS (hyperparameter optimizer)* Series B announcement* Kanjun/Imbue's Podcast* MIT Media Lab* Research mentioned:* Momentum Contrast* SimClr* Chelsea Finn - SayCan* Agent Protocol - part of the AI Engineer Foundation* Xerox PARC* Michael Nielsen* Jason Benn* Outset Capital* Scenius - Kevin Kelly* South Park Commons* The Archive* Thursday Nights in AITranscriptAlessio: 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. [00:00:19]Swyx: Hey, and today in the studio we have Kanjun from Imbue. Welcome. So you and I have, I guess, crossed paths a number of times. You're formerly named Generally Intelligent and you've just announced your rename, rebrand in huge, humongous ways. So congrats on all of that. And we're here to dive in into deeper detail on Imbue. We like to introduce you on a high level basis, but then have you go into a little bit more of your personal side. So you graduated your BS at MIT and you also spent some time at the MIT Media Lab, one of the most famous, I guess, computer hacking labs in the world. Then you graduated MIT and you went straight into BizOps at Dropbox, where you're eventually chief of staff, which is a pretty interesting role we can dive into later. And then it seems like the founder bug hit you. You were basically a three times founder at Ember, Sorceress, and now at Generally Intelligent slash Imbue. What should people know about you on the personal side that's not on your LinkedIn? That's something you're very passionate about outside of work. [00:01:12]Kanjun: Yeah. I think if you ask any of my friends, they would tell you that I'm obsessed with agency, like human agency and human potential. [00:01:19]Swyx: That's work. Come on.Kanjun: It's not work. What are you talking about?Swyx: So what's an example of human agency that you try to promote? [00:01:27]Kanjun: With all of my friends, I have a lot of conversations with them that's kind of helping figure out what's blocking them. I guess I do this with a team kind of automatically too. And I think about it for myself often, like building systems. I have a lot of systems to help myself be more effective. At Dropbox, I used to give this onboarding talk called How to Be Effective, which people liked. I think like a thousand people heard this onboarding talk, and I think maybe Dropbox was more effective. I think I just really believe that as humans, we can be a lot more than we are. And it's what drives everything. I guess completely outside of work, I do dance. I do partner dance. [00:02:03]Swyx: Yeah. Lots of interest in that stuff, especially in the sort of group living houses in San Francisco, which I've been a little bit part of, and you've also run one of those. [00:02:12]Kanjun: That's right. Yeah. I started the archive with two friends, with Josh, my co-founder, and a couple of other folks in 2015. That's right. And GPT-3, our housemates built. [00:02:22]Swyx: Was that the, I guess, the precursor to Generally Intelligent, that you started doing more things with Josh? Is that how that relationship started? Yeah. [00:02:30]Kanjun: This is our third company together. Our first company, Josh poached me from Dropbox for Ember. And there we built a really interesting technology, laser raster projector, VR headset. And then we were like, VR is not the thing we're most passionate about. And actually it was kind of early days when we both realized we really do believe that in our lifetimes, like computers that are intelligent are going to be able to allow us to do much more than we can do today as people and be much more as people than we can be today. And at that time, we actually, after Ember, we were like, work on AI research or start an AI lab. A bunch of our housemates were joining OpenAI, and we actually decided to do something more pragmatic to apply AI to recruiting and to try to understand like, okay, if we are actually trying to deploy these systems in the real world, what's required? And that was Sorceress. That taught us so much about maybe an AI agent in a lot of ways, like what does it actually take to make a product that people can trust and rely on? I think we never really fully got there. And it's taught me a lot about what's required. And it's kind of like, I think informed some of our approach and some of the way that we think about how these systems will actually get used by people in the real world. [00:03:42]Swyx: Just to go one step deeper on that, you're building AI agents in 2016 before it was cool. You got some muscle and you raised $30 million. Something was working. What do you think you succeeded in doing and then what did you try to do that did not pan out? [00:03:56]Kanjun: Yeah. So the product worked quite well. So Sorceress was an AI system that basically looked for candidates that could be a good fit and then helped you reach out to them. And this was a little bit early. We didn't have language models to help you reach out. So we actually had a team of writers that like, you know, customized emails and we automated a lot of the customization. But the product was pretty magical. Like candidates would just be interested and land in your inbox and then you can talk to them. As a hiring manager, that's such a good experience. I think there were a lot of learnings, both on the product and market side. On the market side, recruiting is a market that is endogenously high churn, which means because people start hiring and then we hire the role for them and they stop hiring. So the more we succeed, the more they... [00:04:39]Swyx: It's like the whole dating business. [00:04:40]Kanjun: It's the dating business. Exactly. Exactly. And I think that's the same problem as the dating business. And I was really passionate about like, can we help people find work that is more exciting for them? A lot of people are not excited about their jobs and a lot of companies are doing exciting things and the matching could be a lot better. But the dating business phenomenon like put a damper on that, like it's actually a pretty good business. But as with any business with like relatively high churn, the bigger it gets, the more revenue we have, the slower growth becomes because if 30% of that revenue you lose year over year, then it becomes a worse business. So that was the dynamic we noticed quite early on after our Series A. I think the other really interesting thing about it is we realized what was required for people to trust that these candidates were like well vetted and had been selected for a reason. And it's what actually led us, you know, a lot of what we do at Imbue is working on interfaces to figure out how do we get to a situation where when you're building and using agents, these agents are trustworthy to the end user. That's actually one of the biggest issues with agents that, you know, go off and do longer range goals is that I have to trust, like, did they actually think through this situation? And that really informed a lot of our work today. [00:05:52]Alessio: Let's jump into GI now, Imbue. When did you decide recruiting was done for you and you were ready for the next challenge? And how did you pick the agent space? I feel like in 2021, it wasn't as mainstream. Yeah. [00:06:07]Kanjun: So the LinkedIn says that it started in 2021, but actually we started thinking very seriously about it in early 2020, late 2019, early 2020. So what we were seeing is that scale is starting to work and language models probably will actually get to a point where like with hacks, they're actually going to be quite powerful. And it was hard to see that at the time, actually, because GPT-3, the early versions of it, there are all sorts of issues. We're like, oh, that's not that useful, but we could kind of see like, okay, you keep improving it in all of these different ways and it'll get better. What Josh and I were really interested in is how can we get computers that help us do bigger things? Like, you know, there's this kind of future where I think a lot about, you know, if I were born in 1900 as a woman, like my life would not be that fun. I'd spend most of my time like carrying water and literally like getting wood to put in the stove to cook food and like cleaning and scrubbing the dishes and, you know, getting food every day because there's no refrigerator, like all of these things, very physical labor. And what's happened over the last 150 years since the industrial revolution is we've kind of gotten free energy, like energy is way more free than it was 150 years ago. And so as a result, we've built all these technologies like the stove and the dishwasher and the refrigerator, and we have electricity and we have infrastructure, running water, all of these things that have totally freed me up to do what I can do now. And I think the same thing is true for intellectual energy. We don't really see it today, but because we're so in it, but our computers have to be micromanaged. You know, part of why people are like, oh, you're stuck to your screen all day. Well, we're stuck to our screen all day because literally nothing happens unless I'm doing something in front of my screen. I don't, you know, I can't send my computer off to do a bunch of stuff for me. And there is a future where that's not the case, where, you know, I can actually go off and do stuff and trust that my computer will pay my bills and figure out my travel plans and do the detailed work that I am not that excited to do so that I can like be much more creative and able to do things that I as a human, I'm very excited about and collaborate with other people. And there are things that people are uniquely suited for. So that's kind of always been the thing that has been really exciting to me. Like Josh and I have known for a long time, I think that, you know, whatever AI is, it would happen in our lifetimes. And the personal computer kind of started giving us a bit of free intellectual energy. And this is like really the explosion of free intellectual energy. So in early 2020, we were thinking about this and what happened was self-supervised learning basically started working across everything. So worked in language, SimClear came out, I think MoCo had come out, Momentum Contrast had come out earlier in 2019, SimClear came out in early 2020. And we're like, okay, for the first time, self-supervised learning is working really well across images and text and suspect that like, okay, actually it's the case that machines can learn things the way that humans do. And if that's true, if they can learn things in a fully self-supervised way, because like as people, we are not supervised. We like go Google things and try to figure things out. So if that's true, then like what the computer could be is much bigger than what it is today. And so we started exploring ideas around like, how do we actually go? We didn't think about the fact that we could actually just build a research lab. So we were like, okay, what kind of startup could we build to like leverage self-supervised learning? So that eventually becomes something that allows computers to become much more able to do bigger things for us. But that became General Intelligence, which started as a research lab. [00:09:39]Alessio: So your mission is you aim to rekindle the dream of the personal computer. So when did it go wrong and what are like your first products and user facing things that you're building to rekindle it? [00:09:53]Kanjun: Yeah. So what we do at Imbue is we train large foundation models optimized for reasoning. And the reason for that is because reasoning is actually, we believe the biggest blocker to agents or systems that can do these larger goals. If we think about something that writes an essay, like when we write an essay, we like write it. We put it and then we're done. We like write it and then we look at it and we're like, oh, I need to do more research on that area. I'm going to go do some research and figure it out and come back and, oh, actually it's not quite right. The structure of the outline. So I'm going to rearrange the outline, rewrite it. It's this very iterative process and it requires thinking through like, okay, what am I trying to do? Is the goal correct? Also like, has the goal changed as I've learned more? So as a tool, like when should I ask the user questions? I shouldn't ask them questions all the time, but I should ask them questions in higher risk situations. How certain am I about the like flight I'm about to book? There are all of these notions of like risk certainty, playing out scenarios, figuring out how to make a plan that makes sense, how to change the plan, what the goal should be. That are things that we lump under the bucket of reasoning and models today, they're not optimized for reasoning. It turns out that there's not actually that much explicit reasoning data on the internet as you would expect. And so we get a lot of mileage out of optimizing our models for reasoning in pre-training. And then on top of that, we build agents ourselves and we, I can get into, we really believe in serious use, like really seriously using the systems and trying to get to an agent that we can use every single day, tons of agents that we can use every single day. And then we experiment with interfaces that help us better interact with the agents. So those are some set of things that we do on the kind of model training and agent side. And then the initial agents that we build, a lot of them are trying to help us write code better because code is most of what we do every day. And then on the infrastructure and theory side, we actually do a fair amount of theory work to understand like, how do these systems learn? And then also like, what are the right abstractions for us to build good agents with, which we can get more into. And if you look at our website, we build a lot of tools internally. We have a like really nice automated hyperparameter optimizer. We have a lot of really nice infrastructure and it's all part of the belief of like, okay, let's try to make it so that the humans are doing the things humans are good at as much as possible. So out of our very small team, we get a lot of leverage. [00:12:18]Swyx: And so would you still categorize yourself as a research lab now, or are you now in startup mode? Is that a transition that is conscious at all? [00:12:26]Kanjun: That's a really interesting question. I think we've always intended to build, you know, to try to build the next version of the computer, enable the next version of the computer. The way I think about it is there's a right time to bring a technology to market. So Apple does this really well. Actually, iPhone was under development for 10 years, AirPods for five years. And Apple has a story where iPhone, the first multi-touch screen was created. They actually were like, oh wow, this is cool. Let's like productionize iPhone. They actually brought, they like did some work trying to productionize it and realized this is not good enough. And they put it back into research to try to figure out like, how do we make it better? What are the interface pieces that are needed? And then they brought it back into production. So I think of production and research as kind of like these two separate phases. And internally we have that concept as well, where like things need to be done in order to get to something that's usable. And then when it's usable, like eventually we figure out how to productize it. [00:13:20]Alessio: What's the culture like to make that happen, to have both like kind of like product oriented, research oriented. And as you think about building the team, I mean, you just raised 200 million. I'm sure you want to hire more people. What are like the right archetypes of people that work at Imbue? [00:13:35]Kanjun: I would say we have a very unique culture in a lot of ways. I think a lot about social process design. So how do you design social processes that enable people to be effective? I like to think about team members as creative agents, because most companies, they think of their people as assets and they're very proud of this. And I think about like, okay, what is an asset? It's something you own that provides you value that you can discard at any time. This is a very low bar for people. This is not what people are. And so we try to enable everyone to be a creative agent and to really unlock their superpowers. So a lot of the work I do, you know, I was mentioning earlier, I'm like obsessed with agency. A lot of the work I do with team members is try to figure out like, you know, what are you really good at? What really gives you energy and where can we put you such that, how can I help you unlock that and grow that? So much of our work, you know, in terms of team structure, like much of our work actually comes from people. Carbs, our hyperparameter optimizer came from Abe trying to automate his own research process doing hyperparameter optimization. And he actually pulled some ideas from plasma physics. He's a plasma physicist to make the local search work. A lot of our work on evaluations comes from a couple of members of our team who are like obsessed with evaluations. We do a lot of work trying to figure out like, how do you actually evaluate if the model is getting better? Is the model making better agents? Is the agent actually reliable? A lot of things kind of like, I think of people as making the like them shaped blob inside imbue and I think, you know, yeah, that's the kind of person that we're, we're hiring for. We're hiring product engineers and data engineers and research engineers and all these roles. We have projects, not teams. We have a project around data, data collection and data engineering. That's actually one of the key things that improve the model performance. We have a pre-training kind of project with some fine tuning as part of that. And then we have an agent's project that's like trying to build on top of our models as well as use other models in the outside world to try to make agents then we actually use as programmers every day. So all sorts of different, different projects. [00:15:37]Swyx: As a founder, you're now sort of a capital allocator among all of these different investments effectively at different projects. And I was interested in how you mentioned that you were optimizing for improving reasoning and specifically inside of your pre-training, which I assume is just a lot of data collection. [00:15:55]Kanjun: We are optimizing reasoning inside of our pre-trained models. And a lot of that is about data. And I can talk more about like what, you know, what exactly does it involve? But actually big, maybe 50% plus of the work is figuring out even if you do have models that reason well, like the models are still stochastic. The way you prompt them still makes, is kind of random, like makes them do random things. And so how do we get to something that is actually robust and reliable as a user? How can I, as a user, trust it? We have all sorts of cool things on the, like, you know, I was mentioning earlier when I talked to other people building agents, they have to do so much work, like to try to get to something that they can actually productize and it takes a long time and agents haven't been productized yet for, partly for this reason is that like the abstractions are very leaky. We can get like 80% of the way there, but like self-driving cars, like the remaining 20% is actually really difficult. We believe that, and we have internally, I think some things that like an interface, for example, that lets me really easily like see what the agent execution is, fork it, try out different things, modify the prompt, modify like the plan that it is making. This type of interface, it makes it so that I feel more like I'm collaborating with the agent as it's executing, as opposed to it's just like doing something as a black box. That's an example of a type of thing that's like beyond just the model pre-training, but on the model pre-training side, like reasoning is a thing that we optimize for. And a lot of that is about what data do we put in. [00:17:27]Swyx: It's interesting just because I always think like, you know, out of the levers that you have, the resources that you have, I think a lot of people think that running foundation model company or a research lab is going to be primarily compute. And I think the share of compute has gone down a lot over the past three years. It used to be the main story, like the main way you scale is you just throw more compute at it. And now it's like, Flops is not all you need. You need better data, you need better algorithms. And I wonder where that shift has gone. This is a very vague question, but is it like 30-30-30 now? Is it like maybe even higher? So one way I'll put this is people estimate that Llama2 maybe took about three to $4 million of compute, but probably 20 to $25 million worth of labeling data. And I'm like, okay, well that's a very different story than all these other foundation model labs raising hundreds of millions of dollars and spending it on GPUs. [00:18:20]Kanjun: Data is really expensive. We generate a lot of data. And so that does help. The generated data is close to actually good, as good as human labeled data. [00:18:34]Swyx: So generated data from other models? [00:18:36]Kanjun: From our own models. From your own models. Or other models, yeah. [00:18:39]Swyx: Do you feel like there's certain variations of this? There's the sort of the constitutional AI approach from Anthropic and basically models sampling training on data from other models. I feel like there's a little bit of like contamination in there, or to put it in a statistical form, you're resampling a distribution that you already have that you already know doesn't match human distributions. How do you feel about that basically, just philosophically? [00:19:04]Kanjun: So when we're optimizing models for reasoning, we are actually trying to like make a part of the distribution really spiky. So in a sense, like that's actually what we want. We want to, because the internet is a sample of the human distribution that's also skewed in all sorts of ways. That is not the data that we necessarily want these models to be trained on. And so when we're generating data, we're not really randomly generating data. We generate very specific things that are like reasoning traces and that help optimize reasoning. Code also is a big piece of improving reasoning. So generated code is not that much worse than like regular human written code. You might even say it can be better in a lot of ways. So yeah. So we are trying to already do that. [00:19:50]Alessio: What are some of the tools that you thought were not a good fit? So you built Avalon, which is your own simulated world. And when you first started, the metagame was like using games to simulate things using, you know, Minecraft and then OpenAI is like the gym thing and all these things. And I think in one of your other podcasts, you mentioned like Minecraft is like way too slow to actually do any serious work. Is that true? Yeah. I didn't say it. [00:20:17]Swyx: I don't know. [00:20:18]Alessio: That's above my pay grade. But Avalon is like a hundred times faster than Minecraft for simulation. When did you figure that out that you needed to just like build your own thing? Was it kind of like your engineering team was like, Hey, this is too slow. Was it more a long-term investment? [00:20:34]Kanjun: Yeah. At that time we built Avalon as a research environment to help us learn particular things. And one thing we were trying to learn is like, how do you get an agent that is able to do many different tasks? Like RL agents at that time and environments at that time. What we heard from other RL researchers was the like biggest thing keeping holding the field back is lack of benchmarks that let us explore things like planning and curiosity and things like that and have the agent actually perform better if the agent has curiosity. And so we were trying to figure out in a situation where, how can we have agents that are able to handle lots of different types of tasks without the reward being pretty handcrafted? That's a lot of what we had seen is that like these very handcrafted rewards. And so Avalon has like a single reward it's across all tasks. And it also allowed us to create a curriculum so we could make the level more or less difficult. And it taught us a lot, maybe two primary things. One is with no curriculum, RL algorithms don't work at all. So that's actually really interesting. [00:21:43]Swyx: For the non RL specialists, what is a curriculum in your terminology? [00:21:46]Kanjun: So a curriculum in this particular case is basically the environment Avalon lets us generate simpler environments and harder environments for a given tasks. What's interesting is that the simpler environments, what you'd expect is the agent succeeds more often. So it gets more reward. And so, you know, kind of my intuitive way of thinking about it is, okay, the reason why it learns much faster with a curriculum is it's just getting a lot more signal. And that's actually an interesting general intuition to have about training these things as like, what kind of signal are they getting? And like, how can you help it get a lot more signal? The second thing we learned is that reinforcement learning is not a good vehicle, like pure reinforcement learning is not a good vehicle for planning and reasoning. So these agents were not able to, they were able to learn all sorts of crazy things. They could learn to climb like hand over hand in VR climbing, they could learn to open doors like very complicated, like multiple switches and a lever open the door, but they couldn't do any higher level things. And they couldn't do those lower level things consistently necessarily. And as a user, I do not want to interact with a pure reinforcement learning end to end RL agent. As a user, like I need much more control over what that agent is doing. And so that actually started to get us on the track of thinking about, okay, how do we do the reasoning part in language? And we were pretty inspired by our friend Chelsea Finn at Stanford was I think working on SACAN at the time where it's basically an experiment where they have robots kind of trying to do different tasks and actually do the reasoning for the robot in natural language. And it worked quite well. And that led us to start experimenting very seriously with reasoning. [00:23:31]Alessio: How important is the language part for the agent versus for you to inspect the agent? You know, like is it the interface to kind of the human on the loop really important or? [00:23:43]Kanjun: Yeah, I personally think of it as it's much more important for us, the human user. So I think you probably could get end to end agents that work and are fairly general at some point in the future. But I think you don't want that. Like we actually want agents that we can like perturb while they're trying to figure out what to do. Because, you know, even a very simple example, internally we have like a type error fixing agent and we have like a test generation agent. Test generation agent goes off rails all the time. I want to know, like, why did it generate this particular test? [00:24:19]Swyx: What was it thinking? [00:24:20]Kanjun: Did it consider, you know, the fact that this is calling out to this other function? And the formatter agent, if it ever comes up with anything weird, I want to be able to debug like what happened with RL end to end stuff. Like we couldn't do that. Yeah. [00:24:36]Swyx: It sounds like you have a bunch of agents operating internally within the company. What's your most, I guess, successful agent and what's your least successful one? [00:24:44]Kanjun: The agents don't work. All of them? I think the only successful agents are the ones that do really small things. So very specific, small things like fix the color of this button on the website or like change the color of this button. [00:24:57]Swyx: Which is now sweep.dev is doing that. Exactly. [00:25:00]Kanjun: Perfect. Okay. [00:25:02]Swyx: Well, we should just use sweep.dev. Well, I mean, okay. I don't know how often you have to fix the color of a button, right? Because all of them raise money on the idea that they can go further. And my fear when encountering something like that is that there's some kind of unknown asymptote ceiling that's going to prevent them, that they're going to run head on into that you've already run into. [00:25:21]Kanjun: We've definitely run into such a ceiling. But what is the ceiling? [00:25:24]Swyx: Is there a name for it? Like what? [00:25:26]Kanjun: I mean, for us, we think of it as reasoning plus these tools. So reasoning plus abstractions, basically. I think actually you can get really far with current models and that's why it's so compelling. Like we can pile debugging tools on top of these current models, have them critique each other and critique themselves and do all of these, like spend more computer inference time, context hack, retrieve augmented generation, et cetera, et cetera, et cetera. Like the pile of hacks actually does get us really far. And a way to think about it is like the underlying language model is kind of like a noisy channel. Actually I don't want to use this analogy. It's actually a really bad analogy, but you kind of like trying to get more signal out of the channel. We don't like to think about it that way. It's what the default approach is, is like trying to get more signal out of this noising channel. But the issue with agents is as a user, I want it to be mostly reliable. It's kind of like self-driving in that way. Like it's not as bad as self-driving, like in self-driving, you know, you're like hurtling at 70 miles an hour. It's like the hardest agent problem. But one thing we learned from Sorceress and one thing we learned by using these things internally is we actually have a pretty high bar for these agents to work. You know, it's actually really annoying if they only work 50% of the time and we can make interfaces to make it slightly less annoying. But yeah, there's a ceiling that we've encountered so far and we need to make the models better. We also need to make the kind of like interface to the user better. And also a lot of the like critiquing. I hope what we can do is help people who are building agents actually like be able to deploy them. I think, you know, that's the gap that we see a lot of today is everyone who's trying to build agents to get to the point where it's robust enough to be deployable. It just, it's like an unknown amount of time. Okay. [00:27:12]Swyx: So this goes back into what Embu is going to offer as a product or a platform. How are you going to actually help people deploy those agents? Yeah. [00:27:21]Kanjun: So our current hypothesis, I don't know if this is actually going to end up being the case. We've built a lot of tools for ourselves internally around like debugging, around abstractions or techniques after the model generation happens. Like after the language model generates the text and like interfaces for the user and the underlying model itself, like models talking to each other, maybe some set of those things kind of like an operating system. Some set of those things will be helpful for other people. And we'll figure out what set of those things is helpful for us to make our agents. Like what we want to do is get to a point where we can like start making an agent, deploy it, it's reliable, like very quickly. And there's a similar analog to software engineering, like in the early days, in the seventies and the sixties, like to program a computer, like you have to go all the way down to the registers and write things and eventually we had assembly. That was like an improvement. But then we wrote programming languages with these higher levels of abstraction and that allowed a lot more people to do this and much faster. And the software created is much less expensive. And I think it's basically a similar route here where we're like in the like bare metal phase of agent building. And we will eventually get to something with much nicer abstractions. [00:28:36]Alessio: We had this conversation with George Hotz and we were like, there's not a lot of reasoning data out there. And can the models really understand? And his take was like, look, with enough compute, you're not that complicated as a human. Like the model can figure out eventually why certain decisions are made. What's been your experience? Like as you think about reasoning data, like do you have to do a lot of like manual work or like is there a way to prompt models to extract the reasoning from actions that they [00:29:03]Swyx: see? [00:29:03]Kanjun: So we don't think of it as, oh, throw enough data at it and then it will figure out what the plan should be. I think we're much more explicit. You know, a way to think about it is as humans, we've learned a lot of reasoning strategies over time. We are better at reasoning now than we were 3000 years ago. An example of a reasoning strategy is noticing you're confused. Then when I notice I'm confused, I should ask like, huh, what was the original claim that was made? What evidence is there for this claim? Does the evidence support the claim? Is the claim correct? This is like a reasoning strategy that was developed in like the 1600s, you know, with like the advent of science. So that's an example of a reasoning strategy. There are tons of them. We employ all the time, lots of heuristics that help us be better at reasoning. And we didn't always have them. And because they're invented, like we can generate data that's much more specific to them. So I think internally, yeah, we have a lot of thoughts on what reasoning is and we generate a lot more specific data. We're not just like, oh, it'll figure out reasoning from this black box or like it'll figure out reasoning from the data that exists. Yeah. [00:30:04]Alessio: I mean, the scientific method is like a good example. If you think about hallucination, right, people are thinking, how do we use these models to do net new, like scientific research? And if you go back in time and the model is like, well, the earth revolves around the sun and people are like, man, this model is crap. It's like, what are you talking about? Like the sun revolves around the earth. It's like, how do you see the future? Like if the models are actually good enough, but we don't believe them, it's like, how do we make the two live together? So you're like, you use Inbu as a scientist to do a lot of your research and Inbu tells you, hey, I think this is like a serious path you should go down. And you're like, no, that sounds impossible. Like how is that trust going to be built? And like, what are some of the tools that maybe are going to be there to inspect it? [00:30:51]Kanjun: Really there are two answers to this. One element of it is as a person, like I need to basically get information out of the model such that I can try to understand what's going on with the model. Then the second question is like, okay, how do you do that? And that's kind of some of our debugging tools, they're not necessarily just for debugging. They're also for like interfacing with and interacting with the model. So like if I go back in this reasoning trace and like change a bunch of things, what's going to happen? Like, what does it conclude instead? So that kind of helps me understand like, what are its assumptions? And, you know, we think of these things as tools. And so it's really about like, as a user, how do I use this tool effectively? I need to be willing to be convinced as well. It's like, how do I use this tool effectively? And what can it help me with? [00:31:36]Swyx: And what can it tell me? There's a lot of mention of code in your process. And I was hoping to dive in even deeper. I think we might run the risk of giving people the impression that you view code or you use code just as like a tool within InView just for coding assistance. But I think you actually train code models. And I think there's a lot of informal understanding about how adding code to language models improves their reasoning capabilities. I wonder if there's any research or findings that you have to share that talks about the intersection of code and reasoning. Hmm. Yeah. [00:32:08]Kanjun: So the way I think about it intuitively is like code is the most explicit example of reasoning data on the internet. [00:32:15]Swyx: Yeah. [00:32:15]Kanjun: And it's not only structured, it's actually very explicit, which is nice. You know, it says this variable means this, and then it uses this variable. And then the function does this. As people, when we talk in language, it takes a lot more to extract that explicit structure out of our language. And so that's one thing that's really nice about code is I see it as almost like a curriculum for reasoning. I think we use code in all sorts of ways. The coding agents are really helpful for us to understand what are the limitations of the agents. The code is really helpful for the reasoning itself. But also code is a way for models to act. So by generating code, it can act on my computer. And, you know, when we talk about rekindling the dream of the personal computer, kind of where I see computers going is, you know, like computers will eventually become these much more malleable things where I, as a user today, I have to know how to write software code, like in order to make my computer do exactly what I want it to do. But in the future, if the computer is able to generate its own code, then I can actually interface with it in natural language. And so one way we think about agents is kind of like a natural language programming language. It's a way to program my computer in natural language that's much more intuitive to me as a user. And these interfaces that we're building are essentially IDEs for users to program our computers in natural language. Maybe I should say what we're doing that way. Maybe it's clearer. [00:33:47]Swyx: I don't know. [00:33:47]Alessio: That's a good pitch. What do you think about the different approaches people have, kind of like text first, browser first, like multi-on? What do you think the best interface will be? Or like, what is your, you know, thinking today? [00:33:59]Kanjun: In a lot of ways, like chat as an interface, I think Linus, Linus Lee, you had on this. I really like how he put it. Chat as an interface is skeuomorphic. So in the early days, when we made word processors on our computers, they had notepad lines because that's what we understood these like objects to be. Chat, like texting someone is something we understand. So texting our AI is something that we understand. But today's word documents don't have notepad lines. And similarly, the way we want to interact with agents, like chat is a very primitive way of interacting with agents. What we want is to be able to inspect their state and to be able to modify them and fork them and all of these other things. And we internally have, think about what are the right representations for that? Like architecturally, like what are the right representations? What kind of abstractions do we need to build? And how do we build abstractions that are not leaky? Because if the abstractions are leaky, which they are today, like, you know, this stochastic generation of text is like a leaky abstraction. I cannot depend on it. And that means it's actually really hard to build on top of. But our experience and belief is actually by building better abstractions and better tooling, we can actually make these things non-leaky. And now you can build like whole things on top of them. So these other interfaces, because of where we are, we don't think that much about them. [00:35:17]Swyx: Yeah. [00:35:17]Alessio: I mean, you mentioned, this is kind of like the Xerox Spark moment for AI. And we had a lot of stuff come out of Parc, like the, what you see is what you got editors and like MVC and all this stuff. But yeah, but then we didn't have the iPhone at Parc. We didn't have all these like higher things. What do you think it's reasonable to expect in like this era of AI, you know, call it like five years or so? Like what are like the things we'll build today and what are things that maybe we'll see in kind of like the second wave of products? [00:35:46]Kanjun: That's interesting. I think the waves will be much faster than before. Like what we're seeing right now is basically like a continuous wave. Let me zoom a little bit earlier. So people like the Xerox Parc analogy I give, but I think there are many different analogies. Like one is the like analog to digital computer is kind of an example, like another analogy to where we are today. The analog computer Vannevar Bush built in the 1930s, I think, and it's like a system of pulleys and it can only calculate one function. Like it can calculate like an integral. And that was so magical at the time because you actually did need to calculate this integral bunch, but it had a bunch of issues like in analog errors compound. And so there was actually a set of breakthroughs necessary in order to get to the digital computer, like Turing's decidability, Shannon. I think the like whole like relay circuits can be thought of as can be mapped to Boolean operators and a set of other like theoretical breakthroughs, which essentially were abstractions. They were like creating abstractions for these like very like lossy circuits. They were creating abstractions for these like very analog circuits and digital had this nice property of like being error correcting. And so when I talk about like less leaky abstractions, that's what I mean. That's what I'm kind of pointing a little bit to. It's not going to look exactly the same way. And then the Xerox PARC piece, a lot of that is about like, how do we get to computers that as a person, I can actually use well. And the interface actually helps it unlock so much more power. So the sets of things we're working on, like the sets of abstractions and the interfaces, like hopefully that like help us unlock a lot more power in these systems. Like hopefully that'll come not too far in the future. I could see a next version, maybe a little bit farther out. It's like an agent protocol. So a way for different agents to talk to each other and call each other. Kind of like HTTP. [00:37:40]Swyx: Do you know it exists already? [00:37:41]Kanjun: Yeah, there is a nonprofit that's working on one. I think it's a bit early, but it's interesting to think about right now. Part of why I think it's early is because the issue with agents, it's not quite like the internet where you could like make a website and the website would appear. The issue with agents is that they don't work. And so it may be a bit early to figure out what the protocol is before we really understand how these agents get constructed. But, you know, I think that's, I think it's a really interesting question. [00:38:09]Swyx: While we're talking on this agent to agent thing, there's been a bit of research recently on some of these approaches. I tend to just call them extremely complicated chain of thoughting, but any perspectives on kind of meta-GPT, I think it's the name of the paper. I don't know if you care about at the level of individual papers coming out, but I did read that recently and TLDR, it beat GPT-4 and human eval by role-playing software agent development agency, instead of having sort of single shot or single role, you have multiple roles and how having all of them criticize each other as agents communicating with other agents. [00:38:45]Kanjun: Yeah, I think this is an example of an interesting abstraction of like, okay, can I just plop in this like multi-role critiquing and see how it improves my agent? And can I just plop in chain of thought, tree of thought, plop in these other things and see how they improve my agent? One issue with this kind of prompting is that it's still not very reliable. It's like, there's one lens, which is like, okay, if you do enough of these techniques, you'll get to high reliability. And I think actually that's a pretty reasonable lens. We take that lens often. And then there's another lens that's like, okay, but it's starting to get really messy what's in the prompt and like, how do we deal with that messiness? And so maybe you need like cleaner ways of thinking about and constructing these systems. And we also take that lens. So yeah, I think both are necessary. Yeah. [00:39:29]Swyx: Side question, because I feel like this also brought up another question I had for you. I noticed that you work a lot with your own benchmarks, your own evaluations of what is valuable. I would say I would contrast your approach with OpenAI as OpenAI tends to just lean on, hey, we played StarCraft or hey, we ran it on the SAT or the, you know, the AP bio test and that did results. Basically, is benchmark culture ruining AI? [00:39:55]Swyx: Or is that actually a good thing? Because everyone knows what an SAT is and that's fine. [00:40:04]Kanjun: I think it's important to use both public and internal benchmarks. Part of why we build our own benchmarks is that there are not very many good benchmarks for agents, actually. And to evaluate these things, you actually need to think about it in a slightly different way. But we also do use a lot of public benchmarks for like, is the reasoning capability in this particular way improving? So yeah, it's good to use both. [00:40:26]Swyx: So for example, the Voyager paper coming out of NVIDIA played Minecraft and set their own benchmarks on getting the Diamond X or whatever and exploring as much of the territory as possible. And I don't know how that's received. That's obviously fun and novel for the rest of the engineer, the people who are new to the scene. But for people like yourselves, you build Avalon just because you already found deficiencies with using Minecraft. Is that valuable as an approach? Oh, yeah. I love Voyager. [00:40:57]Kanjun: I mean, Jim, I think is awesome. And I really like the Voyager paper and I think it has a lot of really interesting ideas, which is like the agent can create tools for itself and then use those tools. [00:41:06]Swyx: He had the idea of the curriculum as well, which is something that we talked about earlier. Exactly. [00:41:09]Kanjun: And that's like a lot of what we do. We built Avalon mostly because we couldn't use Minecraft very well to like learn the things we wanted. And so it's like not that much work to build our own. [00:41:19]Swyx: It took us, I don't know. [00:41:22]Kanjun: We had like eight engineers at the time, took about eight weeks. So six weeks. [00:41:27]Swyx: And OpenAI built their own as well, right? Yeah, exactly. [00:41:30]Kanjun: It's just nice to have control over our environment. But if you're doing our own sandbox to really trying to inspect our own research questions. But if you're doing something like experimenting with agents and trying to get them to do things like Minecraft is a really interesting environment. And so Voyager has a lot of really interesting ideas in it. [00:41:47]Swyx: Yeah. Cool. One more element that we had on this list, which is context and memory. I think that's kind of like the foundational, quote unquote, RAM of our era. I think Andrej Karpathy has already made this comparison. So there's nothing new here. And that's just the amount of working knowledge that we can fit into one of these agents. And it's not a lot, right? Especially if you need to get them to do long running tasks. If they need to self-correct from errors that they observe while operating in their environment. Do you see this as a problem? Do you think we're going to just trend to infinite context and that'll go away? Or how do you think we're going to deal with it? [00:42:22]Kanjun: I think when you talked about what's going to happen in the first wave and then in the second wave, I think what we'll see is we'll get like relatively simplistic agents pretty soon. And they will get more and more complex. And there's like a future wave in which they are able to do these like really difficult, really long running tasks. And the blocker to that future, one of the blockers is memory. And that was true of computers too. You know, I think when von Neumann made the von Neumann architecture, he was like, the biggest blocker will be like, we need this amount of memory, which is like, I don't remember exactly like 32 kilobytes or something to store programs. And that will allow us to write software. He didn't say it this way because he didn't have these terms, but that only really was like happened in the seventies with the microchip revolution. It may be the case that we're waiting for some research breakthroughs or some other breakthroughs in order for us to have like really good long running memory. And then in the meantime, agents will be able to do all sorts of things that are a little bit smaller than that. I do think with the pace of the field, we'll probably come up with all sorts of interesting things like, you know, RAG is already very helpful. [00:43:26]Swyx: Good enough, you think? [00:43:27]Kanjun: Maybe good enough for some things. [00:43:29]Swyx: How is it not good enough? I don't know. [00:43:31]Kanjun: I just think about a situation where you want something that's like an AI scientist. As a scientist, I have learned so much about my fields and a lot of that data is maybe hard to fine tune or on, or maybe hard to like put into pre-training. Like a lot of that data, I don't have a lot of like repeats of the data that I'm seeing. You know, like if I'm a scientist, I've like accumulated so many little data points. And ideally I'd want to store those somehow, or like use those to fine tune myself as a model somehow, or like have better memory somehow. I don't think RAG is enough for that kind of thing. But RAG is certainly enough for like user preferences and things like that. Like what should I do in this situation? What should I do in that situation? That's a lot of tasks. We don't have to be a scientist right away. Awesome. [00:44:21]Swyx: I have a hard question, if you don't mind me being bold. Yeah. I think the most comparable lab to InView is Adept. You know, a research lab with like some amount of product situation on the horizon, but not just yet, right? Why should people work for InView over Adept? And we can cut this if it's too like... Yeah. [00:44:40]Kanjun: The way I think about it is I believe in our approach. The type of thing that we're doing is we're trying to like build something that enables other people to build agents and build something that really can be maybe something like an operating system for agents. I know that that's what we're doing. I don't really know what everyone else is doing. You know, I can kind of like talk to people and have some sense of what they're doing. And I think it's a mistake to focus too much on what other people are doing, because extremely focused execution on the right thing is what matters. To the question of like, why us? I think like strong focus on reasoning, which we believe is the biggest blocker, on inspectability, which we believe is really important for user experience and also for the power and capability of these systems. Building non-leaky, good abstractions, which we believe is solving the core issue of agents, which is around reliability and being able to make them deployable. And then really seriously trying to use these things ourselves, like every single day, and getting to something that we can actually ship to other people that becomes something that is a platform. Like, it feels like it could be Mac or Windows. I love the dogfooding approach. [00:45:49]Swyx: That's extremely important. And you will not be surprised how many agent companies I talk to that don't use their own agent. Oh no, that's not good. That's a big surprise. [00:45:59]Kanjun: Yeah, I think if we didn't use our own agents, then we would have all of these beliefs about how good they are. Wait, did you have any other hard questions you wanted to ask? [00:46:08]Swyx: Yeah, mine was just the only other follow-up that you had based on the answer you just gave was, do you see yourself releasing models or do you see yourself, what is the artifacts that you want to produce that lead up to the general operating system that you want to have people use, right? And so a lot of people just as a byproduct of their work, just to say like, hey, I'm still shipping, is like, here's a model along the way. Adept took, I don't know, three years, but they released Persimmon recently, right? Like, do you think that kind of approach is something on your horizon? Or do you think there's something else that you can release that can show people, here's kind of the idea, not the end products, but here's the byproducts of what we're doing? [00:46:51]Kanjun: Yeah, I don't really believe in releasing things to show people like, oh, here's what we're doing that much. I think as a philosophy, we believe in releasing things that will be helpful to other people. [00:47:02]Swyx: Yeah. [00:47:02]Kanjun: And so I think we may release models or we may release tools that we think will help agent builders. Ideally, we would be able to do something like that, but I'm not sure exactly what they look like yet. [00:47:14]Swyx: I think more companies should get into the releasing evals and benchmarks game. Yeah. [00:47:20]Kanjun: Something that we have been talking to agent builders about is co-building evals. So we build a lot of our own evals and every agent builder tells me, basically evals are their biggest issue. And so, yeah, we're exploring right now. And if you are building agents, please reach out to me because I would love to, like, figure out how we can be helpful based on what we've seen. Cool. [00:47:40]Swyx: That's a good call to action. I know a bunch of people that I can send your way. Cool. Great. [00:47:43]Kanjun: Awesome. [00:47:44]Swyx: Yeah. We can zoom out to other interests now. [00:47:46]Alessio: We got a lot of stuff. So we have Sherif from Lexicon, the podcast. He had a lot of interesting questions on his website. You similarly have a lot of them. Yeah. [00:47:55]Swyx: I need to do this. I'm very jealous of people with personal websites right there. Like, here's the high level questions of goals of humanity that I want to set people on. And I don't have that. [00:48:04]Alessio: It's never too late, Sean. [00:48:05]Swyx: Yeah. [00:48:05]Alessio: It's never too late. [00:48:06]Kanjun: Exactly. [00:48:07]Alessio: There were a few that stuck out as related to your work that maybe you're kind of learning [00:48:12]Swyx: more about it. [00:48:12]Alessio: So one is why are curiosity and goal orientation often at odds? And from a human perspective, I get it. It's like, you know, would you want to like go explore things or kind of like focus on your career? How do you think about that from like an agent perspective? Where it's like, should you just stick to the task and try and solve it as in the guardrails as possible? Or like, should you look for alternative solutions? [00:48:34]Swyx: Yeah. [00:48:34]Kanjun: I think one thing that's really interesting about agents actually is that they can be forked. Like, you know, we can take an agent that's executed to a certain place and said, okay, here, like fork this and do a bunch of different things. I try a bunch of different things. Some of those agents can be goal oriented and some of them can be like more curiosity driven. You can prompt them in slightly different ways. And something I'm really curious about, like what would happen if in the future, you know, we were able to actually go down both paths. As a person, why I have this question on my website is I really find that like I really can only take one mode at a time and I don't understand why. And like, is it inherent in like the kind of context that needs to be held? That's why I think from an agent perspective, like forking it is really interesting. Like I can't fork myself to do both, but I maybe could fork an agent to like add a certain point in a task. [00:49:26]Swyx: Yeah. Explore both. Yeah. [00:49:28]Alessio: How has the thinking changed for you as the funding of the company changed? That's one thing that I think a lot of people in the space think is like, oh, should I raise venture capital? Like, how should I get money? How do you feel your options to be curious versus like goal oriented has changed as you raise more money and kind of like the company has grown? [00:49:50]Kanjun: Oh, that's really funny. Actually, things have not changed that much. So we raised our Series A $20 million in late 2021. And our entire philosophy at that time was, and still kind of is, is like, how do we figure out the stepping stones, like collect stepping stones that eventually let us build agents, kind of these new computers that help us do bigger things. And there was a lot of curiosity in that. And there was a lot of goal orientation in that. Like the curiosity led us to build CARBS, for example, this hyperparameter optimizer. Great name, by the way. [00:50:28]Swyx: Thank you. [00:50:29]Kanjun: Is there a story behind that name? [00:50:30]Swyx: Yeah. [00:50:31]Kanjun: Abe loves CARBS. It's also cost aware. So as soon as he came up with cost aware, he was like, I need to figure out how to make this work. But the cost awareness of it was really important. So that curiosity led us to this really cool hyperparameter optimizer. That's actually a big part of how we do our research. It lets us experiment on smaller models. And for those experiment results to carry to larger ones. [00:50:56]Swyx: Which you also published a scaling laws, which is great. I think the scaling laws paper from OpenAI was like the biggest. And from Google, I think, was the greatest public service to machine learning that any research lab can do. Yeah, totally. [00:51:10]Kanjun: What was nice about CARBS is it gave us scaling laws for all sorts of hyperparameters. So yeah, that's cool. It basically hasn't changed very much. So there's some curiosity. And then there's some goal oriented parts. Like Avalon, it was like a six to eight week sprint for all of us. And we got this thing out. And then now different projects do like more curiosity or more goal orientation at different times. Cool. [00:51:36]Swyx: Another one of your questions that we highlighted was, how can we enable artificial agents to permanently learn new abstractions and processes? I think this is might be called online learning. [00:51:45]Kanjun: Yeah. So I struggle with this because, you know, that scientist example I gave. As a scientist, I've like permanently learned a lot of new things. And I've updated and created new abstractions and learned them pretty reliably. And you were talking about like, okay, we have this RAM that we can store learnings in. But how well does online learning actually work? And the answer right now seems to be like, as models get bigger, they fine tune faster. So they're more sample efficient as they get bigger. [00

Patrick Donley (@JPatrickDonley) sits down with The Wedding Venue Guy, Alex Nelson, to talk about how he got started in the wedding venue business. You'll learn what the process of starting the business was like, how he selected the site, what the finances of the project look like, how he markets the space, how Twitter has jumpstarted his consulting business, and much more!Alex goes by the Wedding Venue Guy on Twitter and has built a $3M venue. He also consults with investors looking to enter the space and is looking to partner with others on more venues across the country. IN THIS EPISODE, YOU'LL LEARN:00:00 - Intro.01:45 - How Alex first got started in the wedding venue industry.06:52 - What other real estate asset classes he considered.07:36 - Why planning his own wedding provided inspiration for his new venture.09:21 - How they figured out what to do as they went along with the project.10:18 - What the finances of the project looked like.11:42 - What the process of starting the venue was like.12:19 - How Alex went about finding the land for the venue.15:00 - What some of the challenges were that delayed the project.18:17 - What kind of early marketing they did.27:42 - How Alex managed the process while having a young family and two remote jobs.29:03 - Why he is hoping to create a wedding venue holding company.30:46 - What some of the features are that make the venue stand out.33:50 - How much alcohol sales add to the bottom line.39:17 - How Alex and his wife are managing the business.44:41 - How he got involved in the venue advisory business.50:28 - Why he's looking to acquire a golf course for more event space.49:12 - What an average day looks like for Alex.54:04 - How Twitter has fueled interest and growth for the consulting business.55:01 - What some of the downsides of running a wedding event space are.*Disclaimer: Slight timestamp discrepancies may occur due to podcast platform differences.BOOKS AND RESOURCESThe Everything Guide to House Hacking by Robert Leonard.Related episode: Listen to REI192: Building an Empire w/ Nick Huber or watch the video.Related episode: Listen to MI288: Experiencing Unique Stays w/ Ben Wolff or watch the video.Related episode: Listen to MI285: The Art of Tax Optimization w/ Mitchell Baldridge or watch the video.Kevin Kelly on 1000 True Fans.NEW TO THE SHOW?Check out our Millennial Investing Starter Packs.Browse through all our episodes (complete with transcripts) here.Try Robert's favorite tool for picking stock winners and managing our portfolios: TIP Finance.Enjoy exclusive perks from our favorite Apps and Services.Stay up-to-date on financial markets and investing strategies through our daily newsletter, We Study Markets.Learn how to better start, manage, and grow your business with the best business podcasts.Help us understand our audience better so we can create a more intentional user experience by answering this survey!P.S The Investor's Podcast Network is excited to launch a subreddit devoted to our fans in discussing financial markets, stock picks, questions for our hosts, and much more! Join our subreddit r/TheInvestorsPodcast today!SPONSORSGet a FREE audiobook from Audible.Learn how Principal Financial can help you find the right benefits and retirement plan for your team today.Get a customized solution for all of your KPIs in one efficient system with one source of truth. Download NetSuite's popular KPI Checklist, designed to give you consistently excellent performance for free.Invest in the same paintings available to billionaires, at a more accessible price point with Masterworks.Be confident that you'll be small businessing at your best with support designed to help you reach your goals. Book an appointment with a TD Small Business Specialist today.Shape and flex your home loans how you want with Athena. Join the thousands of Aussies taking control of their mortgage today.Enjoy an all-in-one personal finance app that gives you a comprehensive view of all your accounts, investments, transactions, cash flow, net worth, and more, with Monarch Money. Get an extended thirty-day free trial today.Learn from the world's best minds - anytime, anywhere, and at your own pace with Masterclass. Get 15% off an annual membership today.Your home might be worth more than you think. Earn extra money today with Airbnb.Support our free podcast by supporting our sponsors.Connect with Patrick: Twitter Connect with Alex: Twitter | Website See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

 Come see me and JL in Pittsburgh on Weds Oct 11   Buy Kevin's Honey!  Stand Up is a daily podcast. I book,host,edit, post and promote new episodes with brilliant guests every day. Please subscribe now for as little as 5$ and gain access to a community of over 700 awesome, curious, kind, funny, brilliant, generous souls Check out StandUpwithPete.com to learn more 16 mins Virginia Heffernan is a journalist, critic and author, most recently, of MAGIC AND LOSS: The Internet as Art (Simon & Schuster, 2016). She is a contributing editor at WIRED, a cohost of Slate's Trumpcast podcast, and a columnist at the Los Angeles Times. WIRED: What If the Robots Were Very Nice While They Took Over the World? Heather Cox Richardson on Democracy in Agony Heffernan has been called "America's preeminent cultural critic," "a public intellectual for the 21st century," and among the "finest living writers of English prose." Edward Mendelson in The New York Review of Books called MAGIC AND LOSS, "surprisingly moving...an ecstatic narrative of submission." Kevin Kelly, the co-founder of WIRED, writes, "Heffernan is a new species of wizard. It is a joy and a revelation to be under her spell." Follow her on twitter and subscribe to her Substack Pete on YouTube Check out all things Jon Carroll Follow and Support Pete Coe Pete on Twitter Pete On Instagram Pete Personal FB page Stand Up with Pete FB page

JCB & Brett are back with a full slate of puroresu and joshi action, highlighted by yet another star making performance from the legend Yota Tsuji against HIM, William Ospreay. Speaking of Ospreay, he finally got his long awaited dream match with Naomichi Marufuji and it sure did not disappoint. Meanwhile, Jake Lee is NOAH, while Katsuhiko Nakajima will not be for much longer. Brett is finally coming around on Stardom again after their highly entertaining Dream Tag Festival and the 5Star Grand Prix nearing the finish line. Lastly, they wrap up with a little DDT Who's Gonna Top? and throw Kevin Kelly his much deserved flowers as his time in New Japan is coming to an end. Follow @PhxSplashPod on Twitter & The Phoenix Splash Podcast on YouTube.

Ciaran and Matt are back on Fightful Overbooked to guide you through the world of New Japan Pro Wrestling. On this episode we finally have some wrestling to talk about as the Road to Destruction has begun with 3 shows over the past few days. We discuss the unfortunate injuries that effected the show, praise Zack Sabre Jr, especially his match with Kojima. Another young lion makes a debut, and... The post Bread Club: Zack Sabre Jr. Praise, Kevin Kelly Leaving NJPW, WrestleDream, More appeared first on Shining Wizards Network.

PWTorch editor Wade Keller is joined by Patrick Moynahan from the PWTorch Dailycast's "PWTorch '90s Pastcast" to discuss AEW Collision beginning with analysis of the bloody main event between Ricky Starks and Bryan Danielson. They also discuss the Miro-C.J. interaction, the follow-up on the Sammy Guevara turn and a six-man match scheduled, and other WrestleDream developments. They discuss various ways AEW could clean up some sloppy or illogical aspects of the show and improve upon the character development of wrestlers who get starting to get more TV time but aren't well known as the majority of AEW viewers. They talk with callers and answer email topics, also.This show is part of the Spreaker Prime Network, if you are interested in advertising on this podcast, contact us at https://www.spreaker.com/show/3275545/advertisement

Nothing says friendship like permission to dabble in heresies together. In this episode, a group of friends who happen to be scholars of philosophy, psychology, science, and religion try to make each other uncomfortable by sharing a heresy. This podcast format was inspired by Kevin Kelly, who got Tim Ferris to try it on his… Read more about Dabbling in Heresy!

Digital visionary, bestselling author, founder of the popular Cool Tools website, and Co-Founder and Senior Maverick of Wired magazine––Kevin Kelly joins to talk about his career, his new book, and his radical optimism about the future of our world and humanity.

PWTorch editor Wade Keller is joined by Chris Maitland from the PWTorch Dailycast to discuss AEW Collision beginning with analysis of the Kris Statlander title defense against Britt Baker, including the match itself, what the finish says about AEW's belief in Statlander now, and the disappointing build for the match. Then they talk about just about every other segment on the show and respond to a number of emails including how disappointing Kevin Kelly has been, the stale bit where Matt Jackson gives Brandon Cutler a hard time for his camera work, the mysterious "Take 22" thing before the Keith Lee promo, Grand Slam hype, the strengths and weaknesses of Eddie Kingston's promo, and so much more. They also have an on-site report with details on the crowd size, crowd chants, off-air happenings, and more.This show is part of the Spreaker Prime Network, if you are interested in advertising on this podcast, contact us at https://www.spreaker.com/show/3275545/advertisement

Patrick Donley (@JPatrickDonley) sits down with Kevin Dahlstrom to chat about how to create your ideal life. They do a deep dive into Kevin's 17 point Twitter thread that went viral on how to lead the life you dream of. You'll also learn more about the importance of minimalism and keeping a low burn rate to give optionality to your life, how much money you'll need for this lifestyle, what smart money moves the wealthy make, three behaviors that will put you ahead of 99% of people, plus much, much more!Kevin is well known on Twitter for good reason and cranks out content that will improve your life. He was the founder of several start-ups, the CMO of two public companies, and has invested in over 70 private equity and real estate deals.Kevin is married with two children and lives in Boulder, Colorado. In his free time, he is an avid rock climber.IN THIS EPISODE, YOU'LL LEARN:00:00 - Intro.02:51 - What the inspiration was for Kevin to write his Twitter thread on leading a great life?03:58 - How to avoid becoming one-dimensional and build a multi-faceted life.05:33 - What the elderly talk about that was most important to them.08:12 - How to go about determining and creating your ideal life.12:02 - What it was like for Kevin to reboot his life and walk away from traditional notions of “success”.15:43 - How Kevin found minimalism and how it has benefitted his life.21:29 - How to calculate how much money you'll need to lead your ideal life.28:47 - What are the smart money moves that the wealthy make?31:37 - Why investing in real estate is an important part of wealth building.35:43 - How an illness during college forced Kevin to focus on health and fitness.41:08 - Why writing is a superpower.45:14 - How 1000 true fans can change your life.47:58 - Why it is so important to avoid dumb mistakes.54:52 - How to find your place and your tribe.58:50 - Why it is important to give back.62:43 - The importance of learning to say no.63:46 - The importance of compounding.66:18 - What the 3 behaviors are that will elevate you above 95% of all people.67:53 - Why the search for truth is vital for a great life.72:03 - How to avoid the dangers of comparison.*Disclaimer: Slight timestamp discrepancies may occur due to podcast platform differences.BOOKS AND RESOURCESThe Everything Guide to House Hacking by Robert Leonard.Kevin's thread on leading a great life.Compounding podcast- Mr. Money Mustache.Your Money or Your Life by Vicki Robin.Outlive by Dr. Peter Attila.1000 True Fans by Kevin Kelly.The Artist's Way by Julia Cameron.Atomic Habits by James Clear.NEW TO THE SHOW?Check out our Millennial Investing Starter Packs.Browse through all our episodes (complete with transcripts) here.Try Robert's favorite tool for picking stock winners and managing our portfolios: TIP Finance.Enjoy exclusive perks from our favorite Apps and Services.Stay up-to-date on financial markets and investing strategies through our daily newsletter, We Study Markets.Learn how to better start, manage, and grow your business with the best business podcasts.P.S The Investor's Podcast Network is excited to launch a subreddit devoted to our fans in discussing financial markets, stock picks, questions for our hosts, and much more! Join our subreddit r/TheInvestorsPodcast today!SPONSORSGet a FREE audiobook from Audible.Learn how Principal Financial can help you find the right benefits and retirement plan for your team today.Learn from the world's best minds - anytime, anywhere, and at your own pace with Masterclass. Get 15% off an annual membership today.Your home might be worth more than you think. Earn extra money today with Airbnb.Get a customized solution for all of your KPIs in one efficient system with one source of truth. Download NetSuite's popular KPI Checklist, designed to give you consistently excellent performance for free.Shape and flex your home loans how you want with Athena. Join the thousands of Aussies taking control of their mortgage today.Be confident that you'll be small businessing at your best with support designed to help you reach your goals. Book an appointment with a TD Small Business Specialist today.Enjoy an all-in-one personal finance app that gives you a comprehensive view of all your accounts, investments, transactions, cash flow, net worth, and more, with Monarch Money. Get an extended thirty-day free trial today.Support our free podcast by supporting our sponsors.Connect with Patrick: TwitterConnect with Kevin: TwitterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week we welcome back return guest Preet Banerjee, a renowned speaker, personal finance expert, consultant, and author of Stop Overthinking Your Money. Listeners may remember Preet from his previous appearance on the show back in 2019 when he was first embarking on his doctoral journey. Several years and one pandemic later, Preet has finally made it through the monumental task of completing his dissertation! We spend today's conversation with Preet getting into the fascinating details of his research which interrogates the value of financial advice within households and explores the pressing question of whether it's worth getting it. Preet provides a comprehensive overview of the current state of financial planning and shares his most intriguing findings before unpacking the policy and regulatory recommendations that emerge from his research. The latter part of the show includes our Mark to Market segment with Mark McGrath, where this week, he delivers key insights on retirement savings plans (RSPs) and why he believes RSPs are actually tax-free. You'll also hear our reflection on our past conversation with Colonel Chris Hadfield, paired with a book review of Kevin Kelly's Excellent Advice for Living: Wisdom I Wish I'd Known Earlier. Join us for an expansive episode on the value of financial advice along with timely insights on what truly matters in life! Key Points From This Episode:   (0:03:34) Background on today's guest, Preet Banerjee, and the focus of his research: the value of financial advice to households and whether it's worth getting it.  (0:06:29) Key problems with past research attempting to demonstrate the value of financial advice (including the portfolio-centric advice model).  (0:10:47) A review of the existing literature on the value of financial advice; the gap in the literature that his research is addressing.   (0:16:27) How Preet measured holistic wealth scores and comprehensive financial confidence in his research and the dataset he based his research on. (0:21:26) What Preet took into account to determine who were DIY investors within his sample and which advice channels they use.  (0:28:27) The study of financial planning, shortcomings within the field, and some of the positive developments in recent years.  (0:30:00) Informative takeaways regarding advice channels, investable assets, and having a financial plan.  (0:36:30) How Preet approached his data, the progressive regression model he developed, and what it demonstrates about key topics in his research.  (0:47:36) How wealth allows you to access better financial advice versus the options available to you if you're in the mass market.  (0:49:48) Learn about the policy and regulatory recommendations that emerge from Preet's research.  (0:56:04) Preet's advice to listeners and DIY investors and what's next for his research.  (01:05:17) Our Mark to Market segment with Mark McGrath and his insights of everything you need to know about retirement savings plans (RSPs). (01:18:02) A recap and review of Episode 266 where we talk with Colonel Chris Hadfield and why it's worth the listen.  (01:20:39) Hear our review of the book, Excellent Advice for Living: Wisdom I Wish I'd Known Earlier by Kevin Kelly.  (01:25:34) Our after-show section; Find out what we have coming up and how to attend our upcoming meet and greet.    Join our live event “Finding and Funding a Good Life”: https://us06web.zoom.us/webinar/register/8516942588679/WN_gv6EVyCCRpaXCrnWAZUrLA   Links From Today's Episode: Preet Banerjee — https://www.preetbanerjee.com/ Preet Banerjee on LinkedIn — https://www.linkedin.com/in/preetbanerjee/ Preet Banerjee on X — https://twitter.com/preetbanerjee Preet Banerjee on YouTube — https://www.youtube.com/c/preetbanerjee Preet Banerjee at The Globe and Mail — https://www.theglobeandmail.com/authors/preet-banerjee/ Episode 53: Preet Banerjee — https://rationalreminder.ca/podcast/53 Episode 226: Colonel Chris Hadfield — https://rationalreminder.ca/podcast/226 Excellent Advice for Living: Wisdom I Wish I'd Known Earlier — https://www.amazon.com/Excellent-Advice-Living-Wisdom-Earlier/dp/0593654528 Episode 232: Dr. Annamaria Lusardi — https://rationalreminder.ca/podcast/232 Episode 188: Prof. Ayelet Fishbach — https://rationalreminder.ca/podcast/188 Episode 224: Prof. Scott Cederburg — https://rationalreminder.ca/podcast/224 Rational Reminder Continuing Education — learn.rationalreminder.ca Rational Reminder on iTunes — https://itunes.apple.com/ca/podcast/the-rational-reminder-podcast/id1426530582. Rational Reminder on Spotify — https://open.spotify.com/show/6RHWTH9iW7hdnA7eAg7ukO Rational Reminder Website — https://rationalreminder.ca/  Rational Reminder on Instagram — https://www.instagram.com/rationalreminder/ Rational Reminder on X — https://twitter.com/RationalRemind Rational Reminder on YouTube — https://www.youtube.com/channel/ Rational Reminder Email — info@rationalreminder.caBenjamin Felix — https://www.pwlcapital.com/author/benjamin-felix/  Benjamin on X — https://twitter.com/benjaminwfelix Benjamin on LinkedIn — https://www.linkedin.com/in/benjaminwfelix/ Cameron Passmore — https://www.pwlcapital.com/profile/cameron-passmore/ Cameron on X — https://twitter.com/CameronPassmore Cameron on LinkedIn — https://www.linkedin.com/in/cameronpassmore/