Podcasts about Searching

Learn more about Brave Church at https://brave.churchPRAYER: https://brave.churchcenter.com/peopleGIVING: https://brave.church/give​​DECIDE TO FOLLOW JESUS?: https://brave.church/followjesus​​Follow on Instagram:https://www.instagram.com/bravechurch/​​

Hockey internet personality Steve "Dangle" Glynn says that Tyler Hellard's Searching for Terry Punchout picked him. The pair meets for the first time to discuss Tyler's book, which follows a lost sportswriter's journey home to reluctantly rekindle his relationship with his estranged father, a legendary retired NHL enforcer. They'll talk about Canada's relationship to the game, applesauce, and the invisible string that brought them together for Canada Reads.Books discussed on this week's show include:Searching for Terry Punchout by Tyler HellardCheck us out on Instagram @cbcbooks and TikTok @cbcbooks

Fox News senior correspondent and host of the Searching for Heroes podcast, Benjamin Hall breaks down the escalating tensions between the U.S. and Iran, and the strategic role of the Kurds in the region. He also dissects Iranian messaging tactics with the United States and shares his perspective on what the future may hold for this conflict. Plus, Benjamin introduces his debut children's book, Read All About It, a heartfelt story to honor the hedgehog his daughters gifted him to carry while reporting from war zones.  Learn more about your ad choices. Visit podcastchoices.com/adchoices

How close is the school board to selecting a permanent CPS CEO? Will the Aspira Charter network remain open through the school year? How are students reacting to ongoing DEI rollbacks across the University of Illinois system? Host Jacoby Cochran is joined by Chalkbeat Chicago's Reema Amin and Chicago Reader's Devyn-Marshall Brown to answer these questions and more. Plus, have you checked out the Chicago Reader's Best of 2025 winners? Check out the best sober-focused music series and the best new club for queer and trans people getting started with strength training. Good news: DMB & The Etymology, Chicago Printmakers Collaborative, Miyagi Records Yard Sale Want some more City Cast Chicago news? Then make sure to sign up for our daily newsletter. Follow us @citycastchicago You can also text us or leave a voicemail at: 773 780-0246 Learn more about the sponsors of this March 6 episode: Access Contemporary Music - Use promo code PIANO for 20% off Become a member of City Cast Chicago. Interested in advertising with City Cast? Find more info HERE

LISTEN and SUBSCRIBE on:Apple Podcasts: https://podcasts.apple.com/us/podcast/watchdog-on-wall-street-with-chris-markowski/id570687608 Spotify: https://open.spotify.com/show/2PtgPvJvqc2gkpGIkNMR5i WATCH and SUBSCRIBE on:https://www.youtube.com/@WatchdogOnWallstreet/featured  The rhetoric from Washington appears to be shifting from “regime change” to “leadership change,” signaling a possible off-ramp in the Iran conflict. As economic pressure mounts—Gulf states reassessing investments and wealthy elites moving assets abroad—leaders may be looking for a deal that allows both sides to claim victory while avoiding a deeper regional crisis.

Is DJ Moore really the #1 receiver the Bills have been searching for? full 622 Fri, 06 Mar 2026 12:25:02 +0000 iYV3AIXGbYkmpo7Vk3aahMy0Ke2I6jbY nfl,buffalo bills,chicago bears,sports The Big Bad Morning Show nfl,buffalo bills,chicago bears,sports Is DJ Moore really the #1 receiver the Bills have been searching for? 5:30a-10a weekdays on 105.7 The FAN 2024 © 2021 Audacy, Inc. Sports False https://player.amperwav

Jonathan Taylor has quickly grown revenue 40% at his acquisition through digitization, process improvement, and sales.Topics in Jonathan's interview:Searching while working full-timeHis “now or never” moment approaching 40Restricting his search to Los AngelesOver-equitizing the dealStructuring a forgivable seller noteAccepting 60% ownershipFinding long-term hold investorsBuying from a non-retiring sellerChristian stewardship principlesGrowing revenue 40%References and how to contact Jonathan:LinkedInAEK TechnologyPhil Koller on Acquiring Minds: Comfortable Concentration for a $800k SDE BusinessShaun Stimpson on Acquiring Minds: Started Mid-Career, Grew to $38m in 3 YearsLearn more about Walker Deibel's done-with-you buy-side advisory:The Acquisition LabGet complimentary due diligence on your acquisition's insurance & benefits program:Oberle Risk Strategies - Search Fund TeamGet a free review of your books & financial ops from System Six (a $500 value):Book a call with Tim or hello@systemsix.com and mention Acquiring MindsConnect with Acquiring Minds:See past + future interviews on the YouTube channelConnect with host Will Smith on LinkedInFollow Will on TwitterEdited by Anton RohozovProduced by Pam Cameron

Many of us spend our lives chasing success, security, and meaning—yet something still feels missing. In this episode, we explore a surprising conversation Jesus had that speaks directly to the longing behind the words: “I still haven't found what I'm looking for.” John 3 Jesus and Nicodemus.        

The BBC has had exclusive access to the world's largest study scanning pregnant women's brains. The BeMOther project is based in Spain and has found that women's brains change significantly through pregnancy and beyond. We learn more about the changes and ask why Matrescence - and the transformations that can come with pregnancy, birth and raising a child - are only just starting to receive attention as a distinct life-stage. There's even a campaign to get the word in US dictionaries. Nuala McGovern talks to Smitha Mundasad, a BBC health and science reporter who visited the trial in Spain for her documentary, Baby Brain: What's Really Going On? and Lucy Jones, the journalist and author of Matrescence: On the Metamorphosis of Pregnancy, Childbirth and Motherhood. Hester Musson's latest book is The Night Hag. It's a Victorian Gothic novel which takes place in 19th century Scotland. It delves into themes including the budding science of archaeology, spiritualism and folklore legends, but at its heart is the question of the role of women in Victorian society. A major global study says more than a quarter of healthy years lost to breast cancer could be prevented through lifestyle changes like cutting red meat, staying active and not smoking. The Lancet Oncology analysis shows cases worldwide are set to rise by a third, reaching over 3.5 million by 2050. We are joined by Professor Jayant Vaidya, Professor of Surgery and Oncology at University College Hospital, London, Dr Liz O'Riordan, a former breast cancer surgeon who herself has had breast cancer and is currently in remission, and Claire Rowney, Breast Cancer Now's chief executive, who has been recently diagnosed with breast cancer. Last week, news broke of the killing of one of Mexico's most dangerous men - known as El Mencho. He was killed by the Mexican military. He ran one of Mexico's most powerful drug cartels, the Jalisco Cartel New Generation. In response, members of his cartel torched businesses and buses across the country. But among the burnt-out cars, a new wave of posters appeared, with the faces and names of some of Mexico's 130,000 people who are either missing or disappeared – a tactic used by criminal cartels. The people taping their faces to walls are often their mothers, part of groups fighting to find out what happened to their loved ones. They are known as 'madres buscadoras' or searching mothers. Journalist Andalusia Soloff joins us from Mexico City, she has been following stories like these for years.Presenter: Nuala McGovern Producer: Helen Fitzhenry

65% of respondents use free external GenAI in work or pay for the tool themselves, Deloitte's third GenAI pulse has found. Only 35% work for an employer that pays for their external GenAI. Despite this, the number of companies encouraging GenAI use has nearly doubled compared to 2024; nearly half (46%) of respondents work for a company that encourages the use of GenAI. In contrast to 2024, when less than one-quarter (24%) strongly agreed or agreed that their company encouraged its use. The findings come from Deloitte Ireland's third GenAI pulse survey as part of the Digital Consumer Trends report, where 1,000 people between the ages of 18 and 75 were surveyed in Ireland. The number of respondents who said their workplace has policies or guidance about the use of GenAI for work purposes has jumped. In 2025, just 19% of those surveyed said their company does not have a policy or guidance, but in 2024, 90% of employees reported a lack of guidance or policies. Talent remains the biggest challenge for embedding AI, with 84% citing skills gaps as the main barrier, according to additional Deloitte AI research published last week, which gathered views of C-suite leaders and directors in Ireland. Commenting on the report's findings, Lynn Guilbaud, Technology, Media & Telecommunications Leader in Deloitte Ireland, said: "Everyone has heard the expression people won't be replaced by AI, but will be replaced by people using it. This is why it's positive to see a growing number of organisations with policies and guidance around its use. This technology isn't just a tool; it's a game-changer that can revolutionise how we work, boosting efficiency, unlocking new levels of productivity and fundamentally transforming the competitiveness of organisations that embrace it. "But this won't happen overnight. To harness AI's potential, organisations need to invest in ongoing training and support, guiding their teams every step of the way." There is a clear gap between generations' GenAI use, despite awareness being high across age groups. The GenAI pulse survey shows more than 4 in 5 (83%) of Gen Zs and 76% of Millennials use GenAI, but this drops to just over half (57%) in Gen X and only one-in-three (33%) of those aged 60-75 years old. The most common reason to use the technology is for personal purposes (75%), followed by work (42%) and education (36%). The reasons for using GenAI are consistent with those reported in 2024, although there was a 12% increase in people using it to look up information (44% vs 56%). Searching for information, writing and editing emails, and generating ideas are the top three reasons GenAI is used. Since 2023, a consistent number of GenAI users (more than one-third) believe AI always produces factually accurate responses – 35% in 2023, 34% in 2024, and 34% in 2025. This is similar to the number of users who believe the technology's responses are unbiased – 31% in 2023, 28% in 2024, and 32% in 2025. 64% actively use AI tools. In contrast, 4 in 5 passively engage with GenAI, including web search summaries or AI-generated content on social media. Nearly two-thirds (62%) have noticed AI-generated web search summary and 64% AI-generated content on social media. 40% come across AI-generated news articles written by AI. Daily and weekly use of GenAI is nearly doubling year-on-year, while non-usage consistently drops. Daily Weekly Not used GenAI 2025 11% 21% 37% 2024 5% 13% 53% 2023 2% 7% 66% Colm McDonnell, Head of Technology, Media and Telecommunications in Deloitte Ireland, added: "Our Deloitte survey reveals a fascinating trend of young professionals leading the charge in adopting AI, highlighting the need for tailored training that speaks to different generations and skill levels. "While concerns around privacy and data security are valid, one way to manage these risks is by promoting the use of company-approved AI tools. With nearly two-thirds of respondents already using free or personally paid for AI platforms, its...

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Article III of the Formula of Concord addresses doctrinal errors spread by two 16th-century teachers, Andreas Osiander (1498–1552) and Francesco Stancaro (1501–1574). Osiander taught that the righteousness of Christ's divine nature dwelling in Christians is their righteousness before God, while Stancaro insisted that the righteousness of Christ's human nature is the Christian's righteousness. The article quickly dispenses with the controversy by demonstrating from Scripture (for example, 1 Corinthians 1:30 and Jeremiah 23:6) that the righteousness of the whole, indivisible Christ is what Christians receive by faith, for which God the Father justifies them (that is, declares them righteous before His judgment throne). This article also demonstrates the falsehood of the Roman Catholic teaching that Christians are justified by becoming righteous in themselves rather than trusting solely in the righteousness of Christ. Lest we think this issue is merely part of an arcane debate hundreds of years ago, note what the Catechism of the Roman Catholic Church continues to teach: “Justification is not only the remission of sins, but also the sanctification and renewal of the interior man. … Justification … conforms us to the righteousness of God, who makes us inwardly just by the power of his mercy” (CCC 1989, 1992). The Formula of Concord confesses the comforting truth that our righteousness is a gift from God, which means that it depends completely on Christ, not on us. Rev. Carl Roth, pastor of Grace Lutheran Church in Elgin, TX, joins Andy and Sarah to talk about the “Searching Scripture” feature in the March 2026 issue of the Lutheran Witness titled “Article III: The Righteousness of Faith Before God” on Article III in the Formula of Concord. This year, “Searching Scripture” is themed “Following the Formula” and will walk through the Formula of Concord in the Augsburg Confession. Follow along every month! This year, “Searching Scripture” is walking through the Formula of Concord (FC) from our Lutheran Confessions, exploring the biblical foundations for each topic. Before starting this study, it may be helpful to read FC Ep III on The Righteousness of Faith Before God (p. 479–482 in Concordia: The Lutheran Confessions, CPH 2005). Or follow along with the full Formula of Concord monthly reading plan at witness.lcms.org/reading-plan. Listen to the Coffee Hour episode with Rev. Brady Finnern on Article III at kfuo.org/2025/03/04/coffee-hour-030425-the-righteousness-of-faith-before-god-in-the-formula-of-concord, and find correlating Concord Matters episodes at kfuo.org/formulaofconcord. Find online exclusives of the Lutheran Witness at witness.lcms.org and subscribe to the Lutheran Witness at cph.org/witness.

Send a textChade-Meng Tan when a Google engineer was the company's Jolly Good Fellow (Which nobody can deny)  . Meng decided one day on the then-small Google campus to promote world peace, which led to his successfully working with a team to bring mindfulness to Google's engineers and beyond, through the Search Inside Yourself Leadership Institute (yes, Silly). His book Search Inside Yourself addresses that program and mindfulness itself. Following up on mindfulness is Meng's great Joy on Demand book about mindfulness, peace, joy and compassion. Rounding out his book authoriship is Buddhism for All: The Joyful Path to Enlightenment, with co-author Soryu Forall. . Meng's projects also involve his work with Buddhism.net and Billion Acts of Peace Fairfax criminal lawyer Jonathan Katz sought out Meng as an interviewee not only for Meng's infectious optimism, but also for his engaged action in making this world a better and happier place, his at-once fun and beneficial approach and roadmap with mindfulness, and Meng's frankness about his deep depression that preceded his grabbing a lifetime of mindfulness practice by the horns. All of this -- together with Meng's focus on good-natured and often silly humor -- ties in well with Jon Katz's incorporation of mindfulness and his taijiquan marital art into his criminal defense work and helping clients emerge out of the dark places that many of them experience at times while pursuing their best possible court outcome. Mindfulness is not a spectator sport. Some additional great and quick instructions to get started include Jon Kabat-Zinn's Mindfulness for Beginners and his 2007 talk at Google that introduced me to Meng, who blames Jon for his jollyness. This episode is also available on YouTube at https://www.youtube.com/watch?v=UVYy64AK9RwThis podcast with Fairfax, Virginia criminal / DUI lawyer Jon Katz is playable on all devices at podcast.BeatTheProsecution.com. For more information, visit https://KatzJustice.com or contact us at info@KatzJustice.com, 703-383-1100 (calling), or 571-406-7268 (text). If you like what you hear on our Beat the Prosecution podcast, please take a moment to post a review at our Apple podcasts page (with stars only, or else also with a comment) at https://podcasts.apple.com/us/podcast/beat-the-prosecution/id1721413675

444. What you're really searching for by StriveNinspire

Article III of the Formula of Concord addresses doctrinal errors spread by two 16th-century teachers, Andreas Osiander (1498–1552) and Francesco Stancaro (1501–1574). Osiander taught that the righteousness of Christ's divine nature dwelling in Christians is their righteousness before God, while Stancaro insisted that the righteousness of Christ's human nature is the Christian's righteousness. The article quickly dispenses with the controversy by demonstrating from Scripture (for example, 1 Corinthians 1:30 and Jeremiah 23:6) that the righteousness of the whole, indivisible Christ is what Christians receive by faith, for which God the Father justifies them (that is, declares them righteous before His judgment throne). This article also demonstrates the falsehood of the Roman Catholic teaching that Christians are justified by becoming righteous in themselves rather than trusting solely in the righteousness of Christ. Lest we think this issue is merely part of an arcane debate hundreds of years ago, note what the Catechism of the Roman Catholic Church continues to teach: “Justification is not only the remission of sins, but also the sanctification and renewal of the interior man. … Justification … conforms us to the righteousness of God, who makes us inwardly just by the power of his mercy” (CCC 1989, 1992). The Formula of Concord confesses the comforting truth that our righteousness is a gift from God, which means that it depends completely on Christ, not on us. Rev. Carl Roth, pastor of Grace Lutheran Church in Elgin, TX, joins Andy and Sarah to talk about the “Searching Scripture” feature in the March 2026 issue of the Lutheran Witness titled “Article III: The Righteousness of Faith Before God” on Article III in the Formula of Concord. This year, “Searching Scripture” is themed “Following the Formula” and will walk through the Formula of Concord in the Augsburg Confession. Follow along every month! This year, “Searching Scripture” is walking through the Formula of Concord (FC) from our Lutheran Confessions, exploring the biblical foundations for each topic. Before starting this study, it may be helpful to read FC Ep III on The Righteousness of Faith Before God (p. 479–482 in Concordia: The Lutheran Confessions, CPH 2005). Or follow along with the full Formula of Concord monthly reading plan at witness.lcms.org/reading-plan. Listen to the Coffee Hour episode with Rev. Brady Finnern on Article III at kfuo.org/2025/03/04/coffee-hour-030425-the-righteousness-of-faith-before-god-in-the-formula-of-concord, and find correlating Concord Matters episodes at kfuo.org/formulaofconcord. Find online exclusives of the Lutheran Witness at witness.lcms.org and subscribe to the Lutheran Witness at cph.org/witness. Have a topic you'd like to hear about on The Coffee Hour? Contact us at: listener@kfuo.org.

When societies are in crisis, people tend to seek alternative belief systems to give them comfort, explain a complex world, or fill a space left vacant by discredited ideologies and faiths. Like the embrace of spiritualism after the mass death during the American Civil War. The growth of millenarian movements and cults for fear of the end times. Or even the embrace of conspiracy theories to explain the unimaginable. The Soviet Union was no exception. As the system broke apart and Marxism-Leninism was tossed aside, a questioning of dominant narratives took root. Soviet citizens began to seek new belief systems–astrology, gurus, alternative medicines, sects and cults, and fantastical historical narratives. Joseph Kellner was struck by this explosion of belief seeking and wanted to understand it. Why did Russian citizens gravitate to new forms of belief? What was lost with the collapse of the Soviet system and what opportunities did a new society offer? And what does this all say about the need for humans to believe in, well, something? The Eurasian Knot spoke to Joseph about his book, The Spirit of Socialism: Culture and Belief at the Soviet Collapse, to get a sense of this urge to embrace new beliefs and how they shaped experience during the collapse of the Soviet Union.Guest:Joseph Kellner teaches Russian and Soviet history at the University of Georgia. He's the author of The Spirit of Socialism: Culture and Belief at the Soviet Collapse published by Cornell University Press. Hosted on Acast. See acast.com/privacy for more information.

We often treat faith like a game of hide and seek where we are the ones looking for God. But the Gospel tells a different story: You aren't the seeker; you are the one being sought. Join Celebration Church for a message from Pastor Nate Capshaw as we reflect on the relentless grace of a Shepherd who leaves the ninety-nine to find the one.

Prepare for intense enlightenment, as Rob meets She Heng Yi, the founder of the Shaolin Temple Europe 歐洲少林寺 and author of the book Shaolin Spirit: The Way to Self-Mastery. Together, they explore the complexities of human emotions, identity, and the pursuit of happiness, discussing the notion that suffering and tension are inherent aspects of the human experience, and suggesting that true well-being comes from understanding and navigating these emotions rather than chasing a constant state of happiness. Master She Heng Yi focusses upon the importance of inner work and self-mastery, arguing that many people are trapped in a cycle of identifying with external labels and societal expectations BEST MOMENTS "The reason why in the first place we are aiming for some change... ultimately has always one goal, to make us feel well."  "Searching for that one state called happiness right now is not possible." "The more you hold on to the patterns that are driven... the less freedom of conscious choice you have." Exclusive community & resources:   For more EXCLUSIVE & unfiltered content to make, manage & multiply more money, join our private online education platform: Money.School →⁠ ⁠⁠https://money.school⁠   And if you'd like to meet 7 & 8 figure entrepreneurs, & scale to 6, 7 or 8 figures in your business or personal income, join us at our in-person Money Maker Summit Event (including EXCLUSIVE millionaire guests/masterminds sessions)  →⁠ ⁠⁠https://robmoore.live/mms⁠ 

Three nerds walk into an Episcopal church… and begin to question whether or not science and religion are compatible. Is that how the joke goes? In this episode, we welcome fellow Episcopalian podcaster (and fellow nerd) Rev. Ben Wyatt to help us tackle our questions about science and Christianity. Ben's degrees in physics, religion, and counseling are put to the test as we grill him on dinosaurs, evolution, and Biblical fundamentalism. We ask questions like… Can I believe in dinosaurs and in Jesus? What is "truth", and how do we find it? How have scientific discoveries influenced the church throughout history? And is Eucharistic Prayer C scientifically accurate? If you're like us, you'll leave this episode feeling slightly less certain but certainly more curious. Can't get enough of the Average Episcopalian? Visit our website & shop for merch: theaverageepiscopalian.com Follow us on Instagram: @average.episcopalian Sign up for our monthly Substack newsletter: averageepiscopalian.substack.com More questions? Send us an email: average.episcopalian@gmail.com

Liam and Sydnie chat this week about the upheaval the errata and restricted list have really caused. A week after the announcement and Sydnie is still reeling from the implications of these changes. Testing on TCO and scouring DoK has proven enlightening, but has it been fruitful? Giveaway deets pinned: https://discord.gg/jcy3CW7p3If you wish to donate to HFFS here is our Patreon link:  https://www.patreon.com/hffspodcast • Please subscribe if you enjoyed  this episode, leave a review on Apple with your thoughts, and share it on your social channels. We appreciate any and all support. // If you wish to connect with, join our Discord, link below, or email us: hffspodcast@gmail.com. Connect with Sydnie on Discord:  SCSteele // Blake on Discord: blvdblake // Devin on Discord: DevDev // Liam on Discord: .kingofblingJoin our Discord to talk about episodes and help shape future ones! https://discord.gg/w6vbkWF6Xh

Send a textMariko Sato — From Searching to FreedomLong before discovering the Taubman Approach, Mariko Sato was already searching.As an accomplished concert artist and professor, she had built an international career. Yet she continued asking deeper questions:How can I play more efficiently? More expressively? Without fatigue or injury?The turning point came not in her own playing — but in her son's.After developing tendonitis from over-practicing, her son sought help from teachers, doctors, and specialists. Nothing offered lasting recovery. Then he discovered the Taubman Approach at the Golandsky Institute in New York. Under the guidance of Edna Golandsky — and with a pivotal lesson from Dorothea Taubman herself — he fully recovered and completed his master's degree injury-free.For Mariko, this felt miraculous.Curiosity turned into commitment. In the late 1990s, she attended the Taubman Summer Symposium — and everything changed.Over nearly 30 years of study with mentors including Mary Moran, Edna Golandsky, Bob Durso, and John Bloomfield, Mariko refined her understanding of coordinated movement at the piano. She became an Associate Faculty Member and Master Teacher with the Golandsky Institute — one of only three certified Taubman teachers in Canada, and the only one at the master level.In this episode, Mariko shares:How forearm rotation replaced stretching and tensionWhy pressing into the keys creates fatigue and sound distortionHow small hands and physical “limitations” can become strengthsThe transformation that allowed her to perform repertoire she once avoidedWhy comparison — twisted vs. untwisted, pressed vs. released — is the key to learningShe speaks candidly about childhood discouragement — being told her hands were not suited for a professional career — and how understanding coordinated movement allowed her body to “become piano hands.”Through the Taubman Approach, she not only solved technical problems. She gained the ability to analyze and solve them independently.Her story is not about quick fixes. It is about refinement, logic, and lived experience.After three decades of study, she describes the work not as static doctrine, but as a living research community — one that continues to evolve, deepen, and empower pianists to play with freedom and confidence.For anyone navigating tension, injury, doubt, or physical limitation — this conversation offers clarity, hope, and practical direction.About Mariko SatoMariko Sato is a Tokyo-born concert pianist, professor, and Master Teacher of the Taubman Approach based in Montréal. She has performed internationally across three continents and contributed to six CD recordings. A longtime faculty member at Université Laval and the Cégep régional de Lanaudière, she has studied the Taubman Approach since 1995 and has taught it since 2006. She serves as an Associate Faculty Member at the Golandsky Institute and specializes in injury prevention, coordinated movement, and sustainable piano technique.Episode Themes • Injury recovery and tendonitis • Efficient forearm rotation • Twisting vs. coordinated alignment • Small hands and physical myths • The Taubman community and ongoing researchThe Golandsky Institute's mission is to provide cutting-edge instruction to pianists based on the groundbreaking work of Dorothy Taubman. This knowledge can help them overcome technical and musical challenges, cure and prevent playing-related injuries, and lead them to achieve their highest level of artistic excellence.Please visit our website at: www.golandskyinstitute.org.

Self-help culture teaches people to make themselves the center of everything, but Ecclesiastes exposes the emptiness of that idea. Life cannot be fully controlled, predicted, or made safe, and trying to do so only leads to frustration. Ecclesiastes stands alongside Proverbs and Job. Proverbs shows how life usually works, Job shows undeserved suffering, and Ecclesiastes shows that even having everything—wealth, wisdom, pleasure, and power—still leaves a person empty. The author repeats the word hevel (meaning vapor or futility) to show that life without God feels temporary and meaningless. When life is viewed only “under the sun,” everything fades, and nothing lasts. But that emptiness points to something deeper: our longing for meaning is evidence that we were made for more than this world. The final hope is found in God's promise to restore all things. Communion reminds believers that this broken world is not the end, but a preview of the greater reality still to come.

Fabrizio Romano breaks down the latest in football news including Cristiano Ronaldo moving into club ownership with UD Almeria and more to come, Michael Carrick continues to win with Manchester United but the club is continuing its manager search, Marcus Rashford news, and more. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Learn more about Brave Church at https://brave.churchPRAYER: https://brave.churchcenter.com/peopleGIVING: https://brave.church/give​​DECIDE TO FOLLOW JESUS?: https://brave.church/followjesus​​Follow on Instagram:https://www.instagram.com/bravechurch/​​

Is the world upside down — or are we finally starting to see it clearly?In this episode of Nephilim Death Squad, Raven and TopLobsta sit down with journalist and cultural commentator Shane Cashman for a deep conversation about modern media, inverted narratives, cultural manipulation, and the strange psychological moment defining our era.From journalism and storytelling to propaganda, perception, and the growing distrust of institutions, the discussion explores how reality itself can feel inverted in an age of information overload. Shane shares insights from his work covering controversial stories, fringe communities, and the shifting boundaries between mainstream and alternative media.Blending humor, philosophy, and cultural analysis, this episode examines whether society is experiencing confusion — or awakening.

A popular Hulu love story series has sparked a surprising internet obsession — and one small detail from the show is suddenly being searched everywhere.

Send a textMinister at the University Church of Christ in Tampa, Florida, Josh is a guest for our weekend Young Adult weekend at Milwaukee Ave church. The power of the gospel and its ability to change your life for the better is inspirational. Being a Christian isn't about having all the answers. It means you can't continue or make it without help from God. Life with God is better than life without God. The family of God being a reflection of unity despite untold differences. If you are seeking something better than what you have, look toward changing your life to be like Jesus. Are you willing to entertain the thought there is someone who knows you so well, your deepest darkest secrets, yet still wants to be in a loving relationship with you. Jesus says, “I will not forsake you.” He is not far from you now. The choice for a better life is yours.  =====Searching for answers to life's questions? Need help finding a church? Drop us a line. We would love to help you find a congregation that practices the love of Christ. The Extra Mile Podcast is a work of Milwaukee Ave Church of Christ in Lubbock, TX. Assembly times:9:30 AM - Classes for all ages10:30 AM - Sunday Morning Assembly5:00 PM - Sunday Evening Assembly7:00 PM - Wednesday Evening AssemblyEmail us:  the.emile.pod@gmail.comInstagram: @extramilepodcastSpotify: https://open.spotify.com/show/546CHn6Qvdh807yhYC5sHL?si=j6-jHRTiRh6_Non9E9URagApple Podcasts: https://podcasts.apple.com/us/podcast/the-extra-mile-podcast/id1550189689Google Play: https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkcy5idXp6c3Byb3V0LmNvbS8xMjgwNTI1LnJzcwWe would love to hear from you! Email: the.emile.pod@gmail.com Instagram: @extramilepodcast

Full Show Broadcast. Guest Include Sal Capaccio & Andrew Mossbrooks. Amerks & Sabres Talk. KC Concepcions ties to Rochester NY. Searching for new a theme song. Bills News. RIT Hockey. World Baseball Classic. Lacrosse. Chris Berman and much more.

This episode is different. In David's Story, Raven steps away from the usual format of Nephilim Death Squad to begin assembling a deeply personal, chronological account of the strange, supernatural, and life-shaping experiences that have followed him since childhood. From family history and unexplained events to spiritual encounters and moments that changed the trajectory of his life, this episode lays the foundation for a larger story — one that may eventually become a book. The conversation explores memory, trauma, faith, spiritual warfare, and the patterns that only become visible when a lifetime of experiences is viewed as a single narrative. Using storytelling, reflection, and real discussion, the episode begins piecing together how personal history, family lineage, and the unseen world may intersect. This is a raw and personal Nephilim Death Squad episode — less commentary, more testimony.

Is boycotting American products a patriotic duty, or a luxury belief most Canadians can't afford?In this episode of The Missing Middle, Cara Stern and Mike Moffatt unpack the growing generational divide in Canada, and why older Canadians are far more likely to boycott U.S. products, while younger Canadians are stuck navigating a brutal affordability crisis.After a winter storm destroyed his car, Mike shares why he chose a Canadian-assembled vehicle, and how that decision sparked a bigger question: have certain political stances become “luxury beliefs” that only financially secure Canadians can realistically uphold?The conversation digs into the tension between symbolic nationalism and economic reality, especially for Millennials and Gen Z who feel locked out of housing, squeezed by grocery prices, and shut out of opportunity.From grocery store boycotts to the future of Canada's auto sector, this episode explores what it actually means to be a “good Canadian” in a time of rising costs, political strain, and shifting global alliances.Chapters:00:00 Introduction00:43 The Generational Divide on Canada-U.S. Relations02:03 Why Older Canadians View America Differently Than Gen Z03:04 Why Ethical Shopping is a Luxury04:02 Mike's New Car: A Case Study in Buying Canadian06:21  Defining “Luxury Beliefs” in Economics09:23  Social Judgment and the Ethics of Travel10:21 Should Politicians Fight Trump?11:04 On Carney's Speech in Davos12:47 Searching for Transformative Change in the Canadian EconomyResearch/links:Nanos Poll https://nanos.co/wp-content/uploads/2025/03/2025-2950-Bloomberg-Nov-Populated-Report-Tariffs-on-US-goods.pdfResearch Co Pollhttps://researchco.ca/wp-content/uploads/2025/06/Tables_Tariffs_CAN_05Jun2025.pdfLuxury Beliefshttps://en.wikipedia.org/wiki/Luxury_beliefSpecial Address by Mark Carney, Prime Minister of Canada | World Economic Forum Annual Meeting 2026https://youtu.be/flsgJe8mN-A?si=xJs3huF52ABU-SEZHosted by Mike Moffatt & Cara Stern & Sabrina Maddeaux Produced by Meredith Martin This podcast is funded by the Neptis Foundation and brought to you by the Smart Prosperity Institute.

It's 1965 and at the University of Florida, a team of kidney scientists is working hard on an electrolyte beverage solution to prevent dehydration. It's a hit with the school's football team, the Florida Gators, and so they name it Gatorade. But creating an innovative product only gets you so far. The team has to figure out how they'll get their new beverage off the sidelines and into grocery stores and the hands of millions of everyday consumers. And now that they've created the sports-drink sector, do they have what it takes to stay on top? Audible subscribers can listen to all episodes of Business Wars ad-free right now. Join Audible today by downloading the Audible app.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

During the fall semester of his second year, a 20-year-old student and his lifelong friends wandered off a marked trail with no plan, just curiosity. Deep in the woods, they found something they were never meant to see: a hidden shelter tucked between the trees, a fire pit still warm, ash fresh and gray. They took some of the tools scattered nearby, telling themselves it was abandoned. That was their first mistake. When they returned the following weekend, the shelter was gone. As if someone had come back… and realized something was missing. As dusk settled in, lights began moving through the trees. Searching... And then… coming straight toward them. Follow Be. Busta on Insta: @Be.Busta To listen to the podcast on YouTube: http://bit.ly/BeScaredYT Don't forget to subscribe to the podcast for free wherever you're listening or by using this link: http://bit.ly/BeScaredPod If you want to support the show, and get all the episodes ad-free go to: https://bescared.supercast.com/ If you like the show, telling a friend about it would be amazing! You can text, email, Tweet, or send this link to a friend: http://bit.ly/BeScaredPod. If you would like to submit a story for the chance to have it narrated on this channel, please send your story to the following email: Bish.Busta@gmail.com Music: All music was taken from Myuuji's channel and Incompetech by Kevin Mcleod which can be found here: https://www.youtube.com/user/myuuji http://incompetech.com/. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Editor's note: CuspAI raised a $100m Series A in September and is rumored to have reached a unicorn valuation. They have all-star advisors from Geoff Hinton to Yann Lecun and team of deep domain experts to tackle this next frontier in AI applications.In this episode, Max Welling traces the thread connecting quantum gravity, equivariant neural networks, diffusion models, and climate-focused materials discovery (yes, there is one!!!).We begin with a provocative framing: experiments as computation. Welling describes the idea of a “physics processing unit”—a world in which digital models and physical experiments work together, with nature itself acting as a kind of processor. It's a grounded but ambitious vision of AI for science: not replacing chemists, but accelerating them.Along the way, we discuss:* Why symmetry and equivariance matter in deep learning* The tradeoff between scale and inductive bias* The deep mathematical links between diffusion models and stochastic thermodynamics* Why materials—not software—may be the real bottleneck for AI and the energy transition* What it actually takes to build an AI-driven materials platformMax reflects on moving from curiosity-driven theoretical physics (including work with Gerard ‘t Hooft) toward impact-driven research in climate and energy. The result is a conversation about convergence: physics and machine learning, digital models and laboratory experiments, long-term ambition and incremental progress.Full Video EpisodeTimestamps* 00:00:00 – The Physics Processing Unit (PPU): Nature as the Ultimate Computer* Max introduces the idea of a Physics Processing Unit — using real-world experiments as computation.* 00:00:44 – From Quantum Gravity to AI for Materials* Brandon frames Max's career arc: VAE pioneer → equivariant GNNs → materials startup founder.* 00:01:34 – Curiosity vs Impact: How His Motivation Evolved* Max explains the shift from pure theoretical curiosity to climate-driven impact.* 00:02:43 – Why CaspAI Exists: Technology as Climate Strategy* Politics struggles; technology scales. Why materials innovation became the focus.* 00:03:39 – The Thread: Physics → Symmetry → Machine Learning* How gauge symmetry, group theory, and relativity informed equivariant neural networks.* 00:06:52 – AI for Science Is Exploding (Not Emerging)* The funding surge and why AI-for-Science feels like a new industrial era.* 00:07:53 – Why Now? The Two Catalysts Behind AI for Science* Protein folding, ML force fields, and the tipping point moment.* 00:10:12 – How Engineers Can Enter AI for Science* Practical pathways: curriculum, workshops, cross-disciplinary training.* 00:11:28 – Why Materials Matter More Than Software* The argument that everything—LLMs included—rests on materials innovation.* 00:13:02 – Materials as a Search Engine* The vision: automated exploration of chemical space like querying Google.* 01:14:48 – Inside CuspAI: The Platform Architecture* Generative models + multi-scale digital twin + experiment loop.* 00:21:17 – Automating Chemistry: Human-in-the-Loop First* Start manual → modular tools → agents → increasing autonomy.* 00:25:04 – Moonshots vs Incremental Wins* Balancing lighthouse materials with paid partnerships.* 00:26:22 – Why Breakthroughs Will Still Require Humans* Automation is vertical-specific and iterative.* 00:29:01 – What Is Equivariance (In Plain English)?* Symmetry in neural networks explained with the bottle example.* 00:30:01 – Why Not Just Use Data Augmentation?* The optimization trade-off between inductive bias and data scale.* 00:31:55 – Generative AI Meets Stochastic Thermodynamics* His upcoming book and the unification of diffusion models and physics.* 00:33:44 – When the Book Drops (ICLR?)TranscriptMax: I want to think of it as what I would call a physics processing unit, like a PPU, right? Which is you have digital processing units and then you have physics processing units. So it's basically nature doing computations for you. It's the fastest computer known, as possible even. It's a bit hard to program because you have to do all these experiments. Those are quite bulky, it's like a very large thing you have to do. But in a way it is a computation and that's the way I want to see it. You can do computations in a data center and then you can ask nature to do some computations. Your interface with nature is a bit more complicated. But then these things will have to seamlessly work together to get to a new material that you're interested in.[01:00:44:14 - 01:01:34:08]Brandon: Yeah, it's a pleasure to have Max Woehling as a guest today. Max has done so much over his career that I've been so excited about. If you're in the deep learning community, you probably know Max for his work on variational autocoders, which has literally stood the test of prime or officially stood the test of prime. If you are a scientist, you probably know him for his like, binary work on graph neural networks on equivariance. And if you're a material science, you probably know him about his new startup, CASPAI. Max has a long history doing lots of cool problems. You started in quantum gravity, which is I think very different than all of these other things you worked on. The first question for AI engineers and for scientists, what is the thread in how you think about problems? What is the thread in the type of things which excite you? And how do you decide what is the next big thing you want to work on?[01:01:34:08 - 01:02:41:13]Max: So it has actually evolved a lot. In my young days, let's breathe, I would just follow what I would find super interesting. I have kind of this sensor. I think many people have, but maybe not really sort of use very much, which is like, you get this feeling about getting very excited about some problem. Like it could be, what's inside of a black hole or what's at the boundary of the universe or what are quantum mechanics actually all about. And so I follow that basically throughout my career. But I have to say that as you get older, this changes a little bit in the sense that there's a new dimension coming to it and there's this impact. Going in two-dimensional quantum gravity, you pretty much guaranteed there's going to be no impact on what you do relative, maybe a few papers, but not in this world, this energy scale. As I get closer to retirement, which is fortunately still 10 years away or so, I do want to kind of make a positive impact in the world. And I got pretty worried about climate change.[01:02:43:15 - 01:03:19:11]Max: I think politics seems to have a hard time solving it, especially these days. And so I thought better work on it from the technology side. And that's why we started CaspAI. But there's also a lot of really interesting science problems in material science. And so it's kind of combining both the impact you can make with it as well as the interesting science. So it's sort of these two dimensions, like working on things which you feel there's like, well, there's something very deep going on here. And on the other hand, trying to build tools that can actually make a real impact in the world.[01:03:19:11 - 01:03:39:23]RJ: So the thread that when I look back, look at the different things that you worked out, some of them seem pretty connected, like the physics to equivariance and, yeah, and, uh, gravitational networks, maybe. And that seems to be somewhat related to Casp. Do you have a thread through there?[01:03:39:23 - 01:06:52:16]Max: Yeah. So physics is the thread. So having done, you know, spent a lot of time in theoretical physics, I think there is first very fundamental and exciting questions, like things that haven't actually been figured out in quantum gravity. So that is really the frontier. There's also a lot of mathematical tools that you can use, right? In, for instance, in particle physics, but also in general relativity, sort of symmetry space to play an enormously important role. And this goes all the way to gauge symmetries as well. And so applying these kinds of symmetries to, uh, machine learning was actually, you know, I thought of it as a very deep and interesting mathematical problem. I did this with Taco Cohen and Taco was the main driver behind this, went all the way from just simple, like rotational symmetries all the way to gauge symmetries on spheres and stuff like that. So, and, uh, Maurice Weiler, who's also here, um, when he was a PhD student, he was a very good student with me, you know, he wrote an entire book, which I can really recommend about the role of symmetries in AI and machine learning. So I find this a very deep and interesting problem. So more recently, so I've taken a sort of different path, which is the relationship between diffusion models and that field called stochastic thermodynamics. This is basically the thermodynamics, which is a theory of equilibrium. So but then formulated for out of equilibrium systems. And it turns out that the mathematics that we use for diffusion models, but even for reinforcement learning for Schrodinger bridges for MCMC sampling has the same mathematics as this theoretical, this physical theory of non-equilibrium systems. And that got me very excited. And actually, uh, when I taught a course in, um, Mauschenberg, uh, it is South Africa, close to Cape Town at the African Institute for Mathematical Sciences Ames. And I turned that into a book site. Two years later, the book was finished. I've sent it to the publisher. And this is about the deep relationship between free energy, diffusion models, basically generative AI and stochastic thermodynamics. So it's always some kind of, I don't know, I find physics very deep. I also think a lot about quantum mechanics and it's, it's, it's a completely weird theory that actually nobody really understands. And there's a very interesting story, which is maybe good to tell to connect sort of my PZ back to where I'm now. So I did my PZ with a Nobel Laureate, Gerard the toft. He says the most brilliant man I've ever met. He was never wrong about anything as long as I've seen him. And now he says quantum mechanics is wrong and he has a new theory of quantum mechanics. Nobody understands what he's saying, even though what he's writing down is not mathematically very complex, but he's trying to address this understandability, let's say of quantum mechanics head on. And I find it very courageous and I'm completely fascinated by it. So I'm also trying to think about, okay, can I actually understand quantum mechanics in a more mundane way? So that, you know, without all the weird multiverses and collapses and stuff like that. So the physics is always been the threat and I'm trying to apply the physics to the machine learning to build better algorithms.[01:06:52:16 - 01:07:05:15]Brandon: You are still very involved in understanding and understanding physics and the worlds. Yeah. And just like applications to machine learning or introducing no formalisms. That's really cool.[01:07:05:15 - 01:07:18:02]Max: Yes, I would say I'm not contributing much to physics, but I'm contributing to the interface between physics and science. And that's called AI for science or science or AI is kind of a super, it's actually a new discipline that's emerging.[01:07:18:02 - 01:07:18:19]Speaker 5: Yeah.[01:07:18:19 - 01:07:45:14]Max: And it's not just emerging, it's exploding, I would say. That's the better term because I know you go from investments into like in the hundreds of millions now in the billions. So there's now actually a startup by Jeff Bezos that is at 6.2 billion sheep round. Right. Insane. I guess it's the largest startup ever, I think. And that's in this field, AI for science. It tells you something that we are creating a new bubble here.[01:07:46:15 - 01:07:53:28]Brandon: So why do you think it is? What has changed that has motivated people to start working on AI for science type problems?[01:07:53:28 - 01:08:49:17]Max: So there's two reasons actually. One is that people have been applying sort of the new tools from AI to the sciences, which is quite natural. And there's of course, I think there's two big examples, protein folding is a big one. And the other one is machine learning forest fields or something called machine learning inter-atomic potentials. Both of them have been actually very successful. Both also had something to do with symmetries, which is a little cool. And sort of people in the AI sciences saw an opportunity to apply the tools that they had developed beyond advertised placement, right, or multimedia applications into something that could actually make a very positive impact in society like health, drug development, materials for the energy transition, carbon capture. These are all really cool, impactful applications.[01:08:50:19 - 01:09:42:14]Max: Despite that, the science and the kind of the is also very interesting. I would say the fact that these sort of these two fields are coming together and that we're now at the point that we can actually model these things effectively and move the needle on some of these sort of science sort of methodologies is also a very unique moment, I would say. People recognize that, okay, now we're at the cusp of something new, where it results whether the company is called after. We're at the cusp of something new. And of course that always creates a lot of energy. It's like, okay, there's something, it's like sort of virgin field. It's like nobody's green field. Nobody's been there. I can rush in and I can sort of start harvesting there, right? And I think that's also what's causing a lot of sort of enthusiasm in the fields.[01:09:42:14 - 01:10:12:18]RJ: If you're an AI engineer, basically if the people that listen to this podcast will be in the field, then you maybe don't have a strong science background. How does, but are excited. Most I would say most AI practitioners, BM engineers or scientists would consider themselves scientists and they have some background, a little bit of physics, a little bit of industry college, maybe even graduate school that have been working or are starting out. How does somebody who is not a scientist on a day-to-day basis, how do they get involved?[01:10:12:18 - 01:10:14:28]Max: Well, they can read my book once it's out.[01:10:16:07 - 01:11:05:24]Max: This is basically saying that there is more, we should create curricula that are on this interface. So I'm not sure there is, also we already have some universities actual courses you can take, maybe online courses you can take. These workshops where we are now are actually very good as well. And we should probably have more tutorials before the workshop starts. Actually we've, I've kind of proposed this at some point. It's like maybe first have an hour of a tutorial so that people can get new into the field. There's a lot out there. Most of it is of course inaccessible, but I would say we will create much more books and other contents that is more accessible, including this podcast I would say. So I think it will come. And these days you can watch videos and things. There's a huge amount of content you can go and see.[01:11:05:24 - 01:11:28:28]Brandon: So maybe a follow-up to that. How do people learn and get involved? But why should they get involved? I mean, we have a lot of people who are of our audience will be interested in AI engineering, but they may be looking for bigger impacts in the world. What opportunities does AI for science provide them to make an impact to change the world? That working in this the world of pure bits would not.[01:11:28:28 - 01:11:40:06]Max: So my view is that underlying almost everything is immaterial. So we are focusing a lot on LLMs now, which is kind of the software layer.[01:11:41:06 - 01:11:56:05]Max: I would say if you think very hard, underlying everything is immaterial. So underlying an LLM is a GPU, and underlying a GPU is a wafer on which we will have to deposit materials. Do we want to wait a little bit?[01:12:02:25 - 01:12:11:06]Max: Underlying everything is immaterial. So I was saying, you know, there's the LLM underlying the LLM is a GPU on which it runs. In order to make that GPU,[01:12:12:08 - 01:12:43:20]Max: you have to put materials down on a wafer and sort of shine on it with sort of EUV light in order to etch kind of the structures in. But that's now an actual material problem, because more or less we've reached the limits of scaling things down. And now we are trying to improve further by new materials. So that's a fundamental materials problem. We need to get through the energy transition fast if we don't want to kind of mess up this world. And so there is, for instance, batteries. That's a complete materials problem. There's fuel cells.[01:12:44:23 - 01:13:01:16]Max: There is solar panels. So that they can now make solar panels with new perovskite layers on top of the silicon layers that can capture, you know, theoretically up to 50% of the light, where now we're at, I don't know, maybe 22 or something. So these are huge changes all by material innovation.[01:13:02:21 - 01:13:47:15]Max: And yeah, I think wherever you go, you know, I can probably dig deep enough and then tell you, well, actually, the very foundation of what you're doing is a material problem. And so I think it's just very nice to work on this very, very foundation. And also because I think this is maybe also something that's happening now is we can start to search through this material space. This has never been the case, right? It's like scientists, the normal way of working is you read papers and then you come up with no hypothesis. You do an experiment and you learn, et cetera. So that's a very slow process. Now we can treat this as a search engine. Like we search the internet, we now search the space of all possible molecules, not just the ones that people have made or that they're in the universe, but all of them.[01:13:48:21 - 01:14:42:01]Max: And we can make this kind of fully automated. That's the hope, right? We can just type, it becomes a tool where you type what you want and something starts spinning and some experiments get going. And then, you know, outcome list of materials and then you look at it and say, maybe not. And then you refine your query a little bit. And you kind of do research with this search engine where a huge amount of computation and experimentation is happening, you know, somewhere far away in some lab or some data center or something like this. I find this a very, very promising view of how we can sort of build a much better sort of materials layer underneath almost everything. And also more sustainable materials. Our plastics are polluting the planet. If you come up with a plastic that kind of destroys itself, you know, after, I don't a few weeks, right? And actually becomes a fertilizer. These are things that are not impossible at all. These things can be done, right? And we should do it.[01:14:42:01 - 01:14:47:23]RJ: Can you tell us a little bit just generally about CUSBI and then I have a ton of questions.[01:14:47:23 - 01:14:48:15]Speaker 5: Yeah.[01:14:48:15 - 01:17:49:10]Max: So CUSBI started about 20 months ago and it was because I was worried about I'm still worried about climate change. And so I realized that in order to get, you know, to stay within two degrees, let's say, we would not only have to reduce our emissions to zero by 2050, but then, you know, another half century or even a century of removing carbon dioxide from the atmosphere, not by reducing your emissions, but actually removing it at a rate that's about half the rate that we now emit it. And that is a unsolved problem. But if we don't solve it, two degrees is not going to happen, right? It's going to be much more. And I don't think people quite understand how bad that can be, like four degrees, like very bad. So this technology needs to be developed. And so this was my and my co-founder, Chet Edwards, motivation to start this startup. And also because, you know, we saw the technology was ready, which is also very good. So if you're, you know, the time is right to do it. And yeah, so we now in the meanwhile, we've grown to about 40 people. We've kind of collected 130 million investment into the company, which is for a European company is quite a lot. I would say it's interesting that right after that, you know, other startups got even more. So that's kind of tells you how fast this is growing. But yeah, we are we are now at the we've built the platform, of course, but it's for a series of material classes and it needs to be constantly expanded to new material classes. And it can be more automated because, you know, we know putting LLMs in as the whole thing gets more and more automated. And now we're moving to sort of high throughput experimentation. So connecting the actual platform, which is computational, to the experiments so that you can get also get fast feedback from experiments. And I kind of think of experiments as something you do at the end, although that's what we've been doing so far. I want to think of it as what I would call a sort of a physics processing unit, like a PPU, right, which is you have digital processing units and then you have physics processing units. So it's basically nature doing computations for you. It's the fastest computer known as possible, even. It's a bit hard to program because you have to do all these experiments. Those are quite, quite bulky. It's like a very large thing you have to do. But in a way, it is a computation. And that's the way I want to see it. So I want to you can do computations in a data center and then you can ask nature to do some computations. Your interface with nature is a bit more complicated. But then these things will have to seamlessly work together to get to a new material that you're interested in. And that's the vision we have. We don't say super intelligence because I don't quite know what it means and I don't want to oversell it. But I do want to automate this process and give a very powerful tool in the hands of the chemists and the material scientists.[01:17:49:10 - 01:18:01:02]Brandon: That actually brings up a question I wanted to ask you. First of all, can you talk about your platform to like whatever degree, like explain kind of how it works and like what you your thought processes was in developing it?[01:18:01:02 - 01:20:47:22]Max: Yeah, I think it's been surprisingly, it's not rocket science, I would say. It's not rocket science in the sense of the design and basically the design that, you know, I wrote down at the very beginning. It's still more or less the design, although you add things like I wasn't thinking very much about multi-scale models and as the common are rated that actually multi-scale is very important. And the beginning, I wasn't thinking very much about self-driving labs. But now I think, you know, we are now at the stage we should be adding that. And so there is sort of bits and details that we're adding. But more or less, it's what you see in the slide decks here as well, which is there is a generative component that you have to train to generate candidates. And then there is a digital twin, multi-scale, multi-fidelity digital twin, which you walk through the steps of the ladder, you know, they do the cheap things first, you weed out everything that's obviously unuseful, and then you go to more and more expensive things later. And so you narrow things down to a small number. Those go into an experiment, you know, do the experiment, get feedback, etc. Now, things that also have been more recently added is sort of more agentic sort of parts. You know, we have agents that search the literature and come up with, you know, actually the chemical literature and come up with, you know, chemical suggestions for doing experiments. We have agents which sort of autonomously orchestrate all of the computations and the experiments that need to be done. You know, they're in various stages of maturity and they can be continuously improved, I would say. And so that's basically I don't think that part. There's rocket science, but, you know, the design of that thing is not like surprising. What is it's surprising hard to actually build it. Right. So that's that's the thing that is where the moat is in the data that you can get your hands on and the and actually building the platform. And I would say there's two people in particular I want to call out, which is Felix Hunker, who is actually, you know, building the scientific part of the platform and Sandra de Maria, who is building the sort of the skate that is kind of this the MLOps part of the platform. Yeah. And so and recently we also added sort of Aaron Walsh to our team, who is a very accomplished scientist from Imperial College. We're very happy about that. He's going to be a chief science officer. And we also have a partnerships team that sort of seeks out all the customers because I think this is one thing I find very important. In print, it's so complex to do to actually bring a material to the real world that you must do this, you know, in collaboration with sort of the domain experts, which are the companies typically. So we always we only start to invest in the direction if we find a good industrial partner to go on that journey with us.[01:20:47:22 - 01:20:55:12]Brandon: Makes a lot of sense. Over the evolution of the platform, did you find that you that human intervention, human,[01:20:56:18 - 01:21:17:01]Brandon: I guess you could start out with a pure, you could imagine two directions when you start up making everything purely automatic, automated, agentic, so on. And then later on, you like find that you need to have more human input and feedback different steps. Or maybe did you start out with having human feedback? You have lots of steps and then like kind of, yeah, figure out ways to remove, you know,[01:21:17:01 - 01:22:39:18]Max: that is the second one. So you build tools for you. So it's much more modular than you think. But it's like, we need these tools for this application. We need these tools. So you build all these tools, and then you go through a workflow actually in the beginning just manually. So you put them in a first this tool, then run this to them or this with sithery. So you put them in a workflow and then you figure out, oh, actually, you know, this this porous material that we are trying to make actually collapses if you shake it a bit. Okay, then you add a new tool that says test for stability. Right. Yeah. And so there's more and more tools. And then you build the agent, which could be a Bayesian optimizer, or it could be an actual other them, you know, maybe trained to be a good chemist that will then start to use all these tools in the right way in the right order. Yeah. Right. But in the beginning, it's like you as a chemist are putting the workflow together. And then you think about, okay, how am I going to automate this? Right. For one very easy question you can ask yourself is, you know, every time somebody who is not a super expert in DFT, yeah, and he wants to do a calculation has to go to somebody who knows DFT. And so could you start to automate that away, which is like, okay, make it so user friendly, so that you actually do the right DFT for the right problem and for the right length of time, and you can actually assess whether it's a good outcome, etc. So you start to automate smaller small pieces and bigger pieces, etc. And in the end, the whole thing is automated.[01:22:39:18 - 01:22:53:25]Brandon: So your philosophy is you want to provide a set of specific tools that make it so that the scientists making decisions are better informed and less so trying to create an automated process.[01:22:53:25 - 01:23:22:01]Max: I think it's this is sort of the same where you're saying because, yes, we want to automate, yeah, but we don't see something very soon where the chemists and the domain expert is out of the loop. Yeah, but it but it's a retreat, right? It's like, okay, so first, you need an expert to tell you precisely how to set the parameters of the DFT calculation. Okay, maybe we can take that out. We can maybe automate that, right? And so increasingly, more of these things are going to be removed.[01:23:22:01 - 01:23:22:19]Speaker 5: Yeah.[01:23:22:19 - 01:24:33:25]Max: In the end, the vision is it will be a search engine where you where somebody, a chemist will type things and we'll get candidates, but the chemist will still decide what is a good material and what is not a good material out of that list, right? And so the vision of a completely dark lab, where you can close the door and you just say, just, you know, find something interesting and then it will it will just figure out what's interesting and we'll figure out, you know, it's like, oh, I found this new material to blah, blah, blah, blah, right? That's not the vision I have. He's not for, you know, a long time. So for me, it's really empowering the domain experts that are sitting in the companies and in universities to be much faster in developing their materials. And I should say, it's also good to be a little humble at times, because it is very complicated, you know, to bring it to make it and to bring it into the real world. And there are people that are doing this for the entire lives. Yeah. Right. And it's like, I wonder if they scratch their head and say, well, you know, how are you going to completely automate that away, like in the next five years? I don't think that's going to happen at all.[01:24:35:01 - 01:24:39:24]Max: Yeah. So to me, it's an increasingly powerful tool in the hands of the chemists.[01:24:39:24 - 01:25:04:02]RJ: I have a question. You've talked before about getting people interested based on having, you know, sort of a big breakthrough in materials, incremental change. I'm curious what you think about the platform you have now in are sort of stepping towards and how are you chasing the big change or is this like incremental or is there they're not mutually exclusive, obviously, but what do you think about that?[01:25:04:02 - 01:26:04:27]Max: We follow a mixed strategy. So we are definitely going after a big material. Again, we do this with a partner. I'm not going to disclose precisely what it is, but we have our own kind of long term goal. You could call it lighthouse or, you know, sort of moonshot or whatever, but it is going to be a really impactful material that we want to develop as a proof point that it can be done and that it will make it into the into the real world and that AI was essential in actually making it happen. At the same time, we also are quite happy to work with companies that have more modest goals. Like I would say one is a very deep partnership where you go on a journey with a company and that's a long term commitment together. And the other one is like somebody says, I knew I need a force field. Can you help me train this force field and then maybe analyze this particular problem for me? And I'll pay you a bunch of money for that. And then maybe after that we'll see. And that's fine too. Right. But we prefer, you know, the deep partnerships where we can really change something for the good.[01:26:04:27 - 01:26:22:02]RJ: Yeah. And do you feel like from a platform standpoint you're ready for that or what are the things that and again, not asking you to disclose proprietary secret sauce, but what are the things generally speaking that need to happen from where we are to where to get those big breakthroughs?[01:26:22:02 - 01:28:40:01]Max: What I find interesting about this field is that every time you build something, it's actually immediately useful. Right. And so unlike quantum computing, which or nuclear fusion, so you work for 20, 30, 40 years and nothing, nothing, nothing, nothing. And then it has to happen. Right. And when it happens, it's huge. So it's quite different here because every time you introduce, so you go to a customer and you say, so what do you need? Right. So we work, let's say, on a problem like a water filtration. We want to remove PFAS from water. Right. So we do this with a company, Camira. So they are a deep partner for us. Right. So we on a journey together. I think that the breakthrough will happen with a lot of human in the loop because there is the chemists who have a whole lot more knowledge of their field and it's us who will help them with training, having a new message. And in that kind of interface, these interactions, something beautiful will happen and that will have to happen first before this field will really take off, I think. And so in the sense that it's not a bubble, let's put it that way. So that's people see that as actual real what's happening. So in the beginning, it will be very, you know, with a lot of humans in the loop, I would say, and I would I would hope we will have this new sort of breakthrough material before, you know, everything is completely automated because that will take a while. And also it is very vertical specific. So it's like completely automating something for problem A, you know, you can probably achieve it, but then you'll sort of have to start over again for problem B because, you know, your experimental setup looks very different in the machines that you characterize your materials look very different. Even the models in your platform will have to be retrained and fine tuned to the new class. So every time, you know, you have a lot of learnings to transfer, but also, you know, the problems are actually different. And so, yes, I would want that breakthrough material before it's completely automated, which I think is kind of a long term vision. And I would say every time you move to something new, you'll have to start retraining and humans will have to come in again and say, okay, so what does this problem look like? And now sort of, you know, point the the machine again, you know, in the new direction and then and then use it again.[01:28:40:01 - 01:28:47:17]RJ: For the non-scientists among us, me included a bit of a scientist. There's a lot of terminology. You mentioned DFT,[01:28:49:00 - 01:29:01:11]RJ: you equivariance we've talked about. Can you sort of explain in engineering terms or the level of sophistication and engineering? Well, how what is equivariance?[01:29:01:11 - 01:29:55:01]Max: So equivariance is the infusion of symmetry in neural networks. So if I build a neural network, let's say that needs to recognize this bottle, right, and then I rotate the bottle, it will then actually have to completely start again because it has no idea that the rotated bottle. Well, actually, the input that represents a rotated bottle is actually rotated bottle. It just doesn't understand that. Right. If you build equivariance in basically once you've trained it in one orientation, it will understand it in any other orientation. So that means you need a lot less data to train these models. And these are constraints on the weights of the model. So so basically you have to constrain the way such data to understand it. And you can build it in, you can hard code it in. And yeah, this the symmetry groups can be, you know, translations, rotations, but also permutations. I can graph neural network, their permutations and then physics, of course, as many more of these groups.[01:29:55:01 - 01:30:01:08]RJ: To pray devil's advocate, why not just use data augmentation by your bottle is in all the different orientations?[01:30:01:08 - 01:30:58:23]Max: As an option, it's just not exact. It's like, why would you go through the work of doing all that? Where you would really need an infinite number of augmentations to get it completely right. Where you can also hard code it in. Now, I have to say sometimes actually data augmentation works even better than hard coding the equivariance in. And this is something to do with the fact that if you constrain the optimization, the weights before the optimization starts, the optimization surface or objective becomes more complicated. And so it's harder to find good minima. So there is also a complicated interplay, I think, between the optimization process and these constraints you put in your network. And so, yeah, you'll hear kind of contradicting claims in this field. Like some people and for certain applications, it works just better than not doing it. And sometimes you hear other people, if you have a lot of data and you can do data augmentation, then actually it's easier to optimize them and it actually works better than putting the equivariance in.[01:30:58:23 - 01:31:07:16]Brandon: Do you think there's kind of a bitter lesson for mathematically founded models and strategies for doing deep learning?[01:31:07:16 - 01:31:46:06]Max: Yeah, ultimately it's a trade-off between data and inductive bias. So if your inductive bias is not perfectly correct, you have to be careful because you put a ceiling to what you can do. But if you know the symmetry is there, it's hard to imagine there isn't a way to actually leverage it. But yeah, so there is a bitter lesson. And one of the bitter lessons is you should always make sure your architecture is scale, unless you have a tiny data set, in which case it doesn't matter. But if you, you know, the same bitter lessons or lessons that you can draw in LLM space are eventually going to be true in this space as well, I think.[01:31:47:10 - 01:31:55:01]RJ: Can you talk a little bit about your upcoming book and tell the listeners, like, what's exciting about it? Yeah, I should read it.[01:31:55:01 - 01:33:42:20]Max: So this book is about, it's called Generative AI and Stochastic Thermodynamics. It basically lays bare the fact that the mathematics that goes into both generative AI, which is the technology to generate images and videos, and this field of non-equilibrium statistical mechanics, which are systems of molecules that are just moving around and relaxing to the ground state, or that you can control to have certain, you know, be in a certain state, the mathematics of these two is actually identical. And so that's fascinating. And in fact, what's interesting is that Jeff Hinton and Radford Neal already wrote down the variational free energy for machine learning a long time ago. And there's also Carl Friston's work on free energy principle and active entrance. But now we've related it to this very new field in physics, which is called stochastic thermodynamics or non-equilibrium thermodynamics, which has its own very interesting theorems, like fluctuation theorems, which we don't typically talk about, but we can learn a lot from. And I think it's just it can sort of now start to cross fertilize. When we see that these things are actually the same, we can, like we did for symmetries, we can now look at this new theory that's out there, developed by these very smart physicists, and say, okay, what can we take from here that will make our algorithms better? At the same time, we can use our models to now help the scientists do better science. And so it becomes a beautiful cross-fertilization between these two fields. The book is rather technical, I would say. And it takes all sorts of things that have been done as stochastic thermodynamics, and all sorts of models that have been done in the machine learning literature, and it basically equates them to each other. And I think hopefully that sense of unification will be revealing to people.[01:33:42:20 - 01:33:44:05]RJ: Wait, and when is it out?[01:33:44:05 - 01:33:56:09]Max: Well, it depends on the publisher now. But I hope in April, I'm going to give a keynote at ICLR. And it would be very nice if they have this book in my hand. But you know, it's hard to control these kind of timelines.[01:33:56:09 - 01:33:58:19]RJ: Yeah, I'm looking forward to it. Great.[01:33:58:19 - 01:33:59:25]Max: Thank you very much. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe

President Trump ordered the government to prepare to release files on aliens and unidentified aerial phenomena. We talk with Jillian Scudder, Associate Professor of Physics & Astronomy at Oberlin College and an author of three books on astronomy for the general public, about how scientists look for signs of life on other planets and answer your questions about space in general.

Yes, says Gene Marks in this week's Dashboard, the Supreme Court's tariff decision, while correct, has created a mess. No, you shouldn't make any plans to spend your tariff refund money. And no, there's no telling where the Trump administration might be heading. But he does offer this one shred of certainty: For many businesses that have been paying the so-called reciprocal tariffs, if they plan for a 15-percent tariff rate going forward, they'll probably be in reasonably safe territory.

factormeals.com/unseen50off Code: unseen50off - “It happened so fast” - On Friday, June 9th, at a little league game in Alma, Arkansas, 6-year-old Morgan Nick runs off with her friends to catch fireflies, but when the other children return without her, Morgan's mother, Colleen, knows that something is terribly wrong. As days pass with no sign of her daughter, home footage of the baseball game reveals an unknown person in a red pickup truck stalking the kids. However, with few leads and little to go on, it's up to Colleen to lead the search, and for the next 29 years, Colleen Nick will hunt down Morgan's kidnapper, helping other victims along the way, and getting justice for her daughter. - Please consider supporting the Morgan Nick Foundation, an organization established by Colleen, in memory of Morgan. To find out more, please visit: www.morgannickfoundation.com - If you have any information on the disappearance of Morgan Nick please contact the National Center for Missing & Exploited Children at 1-800-THE-LOST. - Credits: Written, edited and directed by Justin Chalifoux Researched by Tiffany Loxton Voiceover by William Akana Distributed by Kat Gardilcic Produced by Salim Sader - Sources: “5NEWS Vault” - 5News, CBS (YouTube) “30 Years of Searching for Morgan Nick” - 5News, CBS (YouTube) “Morgan Nick's Mother Reflects on 30 Years of Advocacy for Missing Children” -5News, CBS (YouTube) “Billy Jack Lincks - What We Know About the Suspect Named in Morgan Nick Disappearance” - 5News, CBS (YouTube) “Authorities to Announce Development in 1995 Kidnapping of Morgan Nick” -5News, CBS (YouTube) “DNA in 1995 Attempted Abduction Case Could Give Answers to Morgan Nick Kidnapping”- KARK 4 News, NBC (YouTube) “DNA Testing Ties Billy Jack Lincks to Morgan Nick's Disappearance” - Arkansas Democratic Gazette (YouTube) “Full Interview with Colleen Nick & Director About Still Missing Morgan” - 40/29 News, ABC (YouTube) “Mother Marks 21 Years Since Morgan Nick's Kidnapping” - 40/29 News, ABC (YouTube) “Two New Detectives Hired in Morgan Nick Case” - 40/29 News, ABC (YouTube) “A Look Inside the Morgan Nick Foundation” - THV11, CBS (YouTube) “The Disappearance of Morgan Nick” - THV11, CBS (YouTube) “Morgan Nick Case | DNA Evidence Found in Billy Jack Lincks' Truck” - THV11, CBS (YouTube) “Nick Family Forever Fighting for Answers Amidst Grief” - KNWA Fox 24, Fox (YouTube) “Remembering the 1995 Disappearance of 6-Year-Old Morgan Nick” -KATV Channel 7 News, ABC (YouTube) “Still Missing Morgan” NLA Productions, 2022 (ABC) "Murder By Numbers: Grave Secrets", Warner Bros. Discovery, Inc. 2026 (Lusid Media) National Center for Missing and Exploited Children (Vimeo) Learn more about your ad choices. Visit megaphone.fm/adchoices

This one is for all of us perfectionists and overachievers (myself included!)

******Support the channel******Patreon: https://www.patreon.com/thedissenterPayPal: paypal.me/thedissenterPayPal Subscription 1 Dollar: https://tinyurl.com/yb3acuuyPayPal Subscription 3 Dollars: https://tinyurl.com/ybn6bg9lPayPal Subscription 5 Dollars: https://tinyurl.com/ycmr9gpzPayPal Subscription 10 Dollars: https://tinyurl.com/y9r3fc9mPayPal Subscription 20 Dollars: https://tinyurl.com/y95uvkao ******Follow me on******Website: https://www.thedissenter.net/The Dissenter Goodreads list: https://shorturl.at/7BMoBFacebook: https://www.facebook.com/thedissenteryt/Twitter: https://x.com/TheDissenterYT This show is sponsored by Enlites, Learning & Development done differently. Check the website here: http://enlites.com/ Dr. Sami Timimi is a Consultant Child and Adolescent Psychiatrist. He is also an experienced Psychotherapist. He is also an author who writes from a critical psychiatry perspective on topics relating to mental health and he has published over a hundred and fifty articles and tens of chapters on many subjects including childhood, psychotherapy, behavioral disorders and cross-cultural psychiatry. He has authored 7 books including Searching for Normal: A New Approach to Understanding Mental Health, Distress and Neurodiversity. In this episode, we focus on Searching for Normal. We start by discussing what mental health is, when are experiences symptoms, and what “normal” is. We talk about why there are so many more people receiving mental disorder diagnoses. We discuss the impact of neoliberal capitalism and politics on people's lives. Finally, we talk about the future of psychiatry.--A HUGE THANK YOU TO MY PATRONS/SUPPORTERS: PER HELGE LARSEN, BERNARDO SEIXAS, ADAM KESSEL, MATTHEW WHITINGBIRD, ARNAUD WOLFF, TIM HOLLOSY, HENRIK AHLENIUS, ROBERT WINDHAGER, RUI INACIO, ZOOP, MARCO NEVES, COLIN HOLBROOK, PHIL KAVANAGH, SAMUEL ANDREEFF, FRANCIS FORDE, TIAGO NUNES, FERGAL CUSSEN, HAL HERZOG, NUNO MACHADO, JONATHAN LEIBRANT, JOÃO LINHARES, STANTON T, SAMUEL CORREA, ERIK HAINES, MARK SMITH, JOÃO EIRA, TOM HUMMEL, SARDUS FRANCE, DAVID SLOAN WILSON, YACILA DEZA-ARAUJO, ROMAIN ROCH, YANICK PUNTER, CHARLOTTE BLEASE, NICOLE BARBARO, ADAM HUNT, PAWEL OSTASZEWSKI, NELLEKE BAK, GUY MADISON, GARY G HELLMANN, SAIMA AFZAL, ADRIAN JAEGGI, PAULO TOLENTINO, JOÃO BARBOSA, JULIAN PRICE, HEDIN BRØNNER, FRANCA BORTOLOTTI, GABRIEL PONS CORTÈS, URSULA LITZCKE, SCOTT, ZACHARY FISH, TIM DUFFY, SUNNY SMITH, JON WISMAN, WILLIAM BUCKNER, LUKE GLOWACKI, GEORGIOS THEOPHANOUS, CHRIS WILLIAMSON, PETER WOLOSZYN, DAVID WILLIAMS, DIOGO COSTA, ALEX CHAU, CORALIE CHEVALLIER, BANGALORE ATHEISTS, LARRY D. LEE JR., OLD HERRINGBONE, MICHAEL BAILEY, DAN SPERBER, ROBERT GRESSIS, JEFF MCMAHAN, JAKE ZUEHL, MARK CAMPBELL, TOMAS DAUBNER, LUKE NISSEN, KIMBERLY JOHNSON, JESSICA NOWICKI, LINDA BRANDIN, VALENTIN STEINMANN, ALEXANDER HUBBARD, BR, JONAS HERTNER, URSULA GOODENOUGH, DAVID PINSOF, SEAN NELSON, MIKE LAVIGNE, JOS KNECHT, LUCY, MANVIR SINGH, PETRA WEIMANN, CAROLA FEEST, MAURO JÚNIOR, 航 豊川, TONY BARRETT, NIKOLAI VISHNEVSKY, STEVEN GANGESTAD, TED FARRIS, HUGO B., JAMES, JORDAN MANSFIELD, CHARLOTTE ALLEN, PETER STOYKO, DAVID TONNER, LEE BECK, PATRICK DALTON-HOLMES, NICK KRASNEY, RACHEL ZAK, DENNIS XAVIER, CHINMAYA BHAT, AND RHYS!A SPECIAL THANKS TO MY PRODUCERS, YZAR WEHBE, JIM FRANK, ŁUKASZ STAFINIAK, TOM VANEGDOM, BERNARD HUGUENEY, CURTIS DIXON, BENEDIKT MUELLER, THOMAS TRUMBLE, KATHRINE AND PATRICK TOBIN, JONCARLO MONTENEGRO, NICK GOLDEN, CHRISTINE GLASS, IGOR NIKIFOROVSKI, AND PER KRAULIS!AND TO MY EXECUTIVE PRODUCERS, MATTHEW LAVENDER,SERGIU CODREANU, AND GREGORY HASTINGS!

What if building a career in coaching did not require you to run your own business at all? In this episode, we open up a conversation that we realise we have not explored nearly enough. We often talk about creating a coaching business or becoming a coaching leader, yet there is a growing and exciting landscape of coaching jobs inside organisations that deserves real attention. This discussion was sparked by the noticeable rise in coaching roles appearing across LinkedIn and within our own community. As we began to explore them more closely, we reflect on our own experience of returning to an in-house role where coaching formed the heart of my work. It brought together everything we loved about developing people, with the stability of a regular income and without the constant need to generate clients. That combination created a deep sense of alignment and ease. We share the wide range of ways coaching now shows up in organisations. Some roles are fully dedicated internal coach positions. Others sit within learning and development, people development, leadership, apprenticeships or culture transformation. In many cases, coaching becomes the differentiating skill that allows someone to move from one profession into another and close the experience gap that once felt like a barrier. What becomes clear in this conversation is that there is no single pathway. For some people, the idea of running a business and stepping into a CEO identity is energising. For others, it is not where their passion lies. There is equal value in a role where you are paid to do the work you love every day, making a tangible difference to individuals and teams, without needing to manage marketing, sales and operations. We also reflect on the increasing recognition within organisations that coaching improves performance, supports wellbeing and helps retain talented people. As executive coaching has proven its impact, companies are now asking how to create that same level of support at scale. This is where internal coaching capability and coaching cultures are being built, and it is opening doors to roles that simply did not exist a decade ago. One of the most important themes running through this episode is possibility. Coaching training is not only about becoming a coach in private practice. It is a powerful, transferable professional development that allows you to reshape your current role, step into a new one or design a portfolio career that blends stability with independence. We also talk about timeframes, because the journey is often far more achievable than people imagine. Within a year to eighteen months, it is entirely possible to gain a qualification, apply your existing experience and position yourself as the ideal candidate for roles that previously felt out of reach. At its core, this episode is about contribution. It is about being paid to make a meaningful difference, to work with people in a way that feels purposeful, and to build a career that reflects how you truly want to spend your time.   Timestamps: 00:00 Introduction to coaching jobs in organisations 00:26 Jo's in-house coaching role and the value of income stability 01:48 Searching for coaching roles and surprising results 03:17 Using coaching to bring strengths and passions together 04:17 A success story of moving into an internal coaching role 05:11 New and emerging coaching career pathways 06:05 Coaching qualifications as a bridge into people roles 07:02 The scope and creativity within L&D and development roles 08:27 Portfolio careers and university coaching work 09:24 The rise of in-house coaching in global organisations 10:23 Building coaching capability at scale 11:21 Organisational support for coaching development 12:13 Coaching roles shaped by culture and organisational need 13:10 Business owner versus employed coach pathways 14:04 Part-time roles and blended career models 15:00 Being paid to make a meaningful difference 15:56 How quickly career change can happen through coaching 16:52 Transferable skills from other industries 17:22 First steps to explore coaching opportunities   Key Lessons Learned: A coaching career can exist fully inside an organisation without running a business. Coaching qualifications create powerful bridges into people development and L&D roles. Internal coaching is growing as organisations seek performance, wellbeing and retention at scale. Portfolio careers allow a blend of stability, flexibility and independence. Transferable skills from many industries align naturally with coaching. It is possible to reposition your career within one to eighteen months. Being paid to make a meaningful contribution is a valid and achievable goal.   Keywords: coaching jobs in organisations, internal coach roles UK, learning and development coaching careers coaching qualification career change, people development roles coaching, portfolio coaching career coaching culture in organisations, executive coaching internal capability, transferable skills into coaching, coaching career pathways,   Links & Resources: IG Company website: https://www.igcompany.com Coaching course quiz: https://www.mycoachingcourse.com

Did the Olympics get you in the hockey spirit? If not, here's a book that certainly will. Searching for Terry Punchout by Tyler Hellard is a novel about small town life and Canada's favourite pastime … and it's also one of this year's Canada Reads picks. The story follows Adam, a failing sportswriter who goes back to his hometown to interview a notorious retired hockey goon. It's the opportunity of a lifetime, with one catch. The goon is actually Adam's estranged father … and he can't run away from his past forever. This week, Tyler joins Mattea to talk about who inspired the titular Terry Punchout, why growing up is so complicated and the warmth of small town Nova Scotia. Liked this conversation? Keep listening:For Indigenous players, ice hockey is a ceremony of its own Here's what you have wrong about teen moms Check us out on Instagram @cbcbooks and TikTok @cbcbooks

Learn more about Brave Church at https://brave.churchPRAYER: https://brave.churchcenter.com/peopleGIVING: https://brave.church/give​​DECIDE TO FOLLOW JESUS?: https://brave.church/followjesus​​Follow on Instagram:https://www.instagram.com/bravechurch/​​

Matt Spiegel and Laurence Holmes listened and reacted to Illinois Gov. JB Pritzker's latest comments on stadium negotiations with the Bears.

BYU basketball welcomes Iowa State to the Marriott Center on February 21, 2026, in a Big 12 after dark matchup. KSL Sports BYU Insider Mitch Harper broke down the matchup. He was joined by Jake Brend of CycloneFanatic.com to get the lowdown on the Cyclones. Then, Mitch dove into the matchup and gave some of his keys for BYU to pull off the upset and earn a signature victory to boost their NCAA Tournament resume. Subscribe to the Cougar Tracks Podcast to stay up-to-date with all the daily episodes. Cougar Tracks is on YouTube and X every weekday at Noon (MT), and KSL NewsRadio at 6:30 p.m. (MT). Apple: https://podcasts.apple.com/us/podcast/cougar-tracks/id1146971609 YouTube Podcast: https://kslsports.com/category/podcast_results/?sid=2035&n=Cougar%20Tracks Spotify: https://open.spotify.com/show/2NCF1KecDsE2rB1zMuHhUh Download the KSL Sports app Google: https://play.google.com/store/apps/details?id=com.bonneville.kslsports&hl=en_US  iOS: https://apps.apple.com/us/app/ksl-sports/id143593 Mitch Harper is a BYU Insider for KSLsports.com and hosts the Cougar Tracks Podcast daily on KSL Sports YouTube and KSL NewsRadio (SUBSCRIBE). Harper also co-hosts Cougar Sports Saturday (12–3 p.m.) on KSL NewsRadio. Follow Mitch’s coverage of BYU athletics in the Big 12 Conference on X (formerly Twitter) and Instagram: @Mitch_Harper. Want more coverage of BYU sports? Take us with you wherever you go. Download the new and improved KSL Sports app from Utah’s sports leader. Allows you to stream live radio and video, keeping you up-to-date on all your favorite teams.

It's the inaugural episode of Wait a Second…, and we're covering the one who's always watching: Big Brother. Bill Simmons joins Jason and Tyler to talk about the disappearance of Savannah Guthrie's mother, Ring's disastrous Super Bowl commercial, and the history of surveillance in pop culture, from 1984 to seemingly innocent viral apps that may be harvesting your biometrics. Jump down this rabbit hole with us, but make sure to put tape over your webcam.In this episode:00:00: Remember FaceApp? About that …04:25: Searching for Nancy Guthrie with doorbell footage.06:03: Ring's disastrous Super Bowl ad.14:40: How do young people feel about surveillance?16:36: A mostly completely pop culture timeline of surveillance.30:05: Can you actually opt out of the surveillance state?43:30: AI and human nature.47:32: The LUSID Score54:17: The Doomscroll: Frog poison, Obama's alien theories, and KD's possible burner account.01:12:37: A half-baked Conspiracy Bill theory.Hosts: Jason Concecpion, Tyler ParkerGuest: Bill SimmonsProducers: Cory McConnell, Donnie Beacham, Justin SaylesArt direction: David ShoemakerMotion graphics and animations: Chris CalletonEngineering: Donald LoBiancoSet design: Hannah Leiken, Jonathan Ratliff Learn more about your ad choices. Visit podcastchoices.com/adchoices

THIS IS A REAL GHOST STORIES CLASSIC EPISODE!Kay had a habit in her twenties — visiting places where tragedy had happened, just to see what could be felt.One night, while cutting through a dark bike path in Ottawa, she heard the unmistakable sound of high heels pacing behind her. A woman-shaped figure stood near the tree where a murder had taken place months earlier.The woman asked for help. She said she had lost her wedding ring.Kay offered what little light she had, but the ring was never found. The woman insisted it would be discovered that night.The next morning, Kay's boyfriend — a police officer — told her that when investigators confronted the accused killer with a bag containing the victim's wedding rings, he confessed immediately. Kay still avoids that path.  Because she cannot shake the feeling that the woman she met in the dark wasn't lost at all — just waiting.#GhostEncounter #MurderMystery #HauntedPath #WeddingRing #ParanormalExperience #RealGhostStories #UnfinishedBusiness #SpiritEncounter #TrueGhostStory #HauntingLove real ghost stories? Want even more?Become a supporter and unlock exclusive extras, ad-free episodes, and advanced access:

Sara Seager is an astrophysicist and planetary scientist whose research focuses on exoplanets—planets outside our solar system orbiting other stars. In this episode, Adam and Sara investigate the possibility of finding alien lifeforms in other solar systems or even on planets or moons closer to home, and Sara breaks down how scientists detect exoplanets and why this kind of science is so important for advancing discoveries here on Earth. They debate the likelihood of discovering intelligent alien life in our lifetime, and Sara reflects on the unique childhood circumstances that led to her groundbreaking work.Host & GuestAdam Grant (Instagram: @adamgrant | LinkedIn: @adammgrant | Website: https://adamgrant.net/)Sara Seager (Instagram: | Website: https://www.saraseager.com/)For the full text transcript, visit ted.com/podcasts/worklife/worklife-with-adam-grant-transcriptsLearn more about our flagship conference happening this April at attend.ted.com/podcast Hosted on Acast. See acast.com/privacy for more information.

7.  Guest: Hampton Sides. Cook maps the North American coast, stopping at Nootka Sound for repairs before charting Alaska. Searching for the Northwest Passage, they enter the Bering Sea. There, they encounter the "Ice Blink" and an impenetrable ice wall, disproving theories of an open polar sea and forcing a dangerous retreat.