Podcasts about Berkeley

Today on the program, a trip into the archive and a return to Episode 600, my conversation with National Book Award-winning author Sarah M. Broom from 2019. Broom a writer whose work has appeared in the New Yorker, The New York Times Magazine, The Oxford American, and O, The Oprah Magazine among others. A native New Orleanian, she received her Masters in Journalism from the University of California, Berkeley in 2004. She was awarded a Whiting Foundation Creative Nonfiction Grant in 2016 and was a finalist for the New York Foundation for the Arts Fellowship in Creative Nonfiction in 2011. She has also been awarded fellowships at Djerassi Resident Artists Program and The MacDowell Colony. She lives in New York state. I spoke with Sarah as she was on tour in support of The Yellow House. Air date: September 25, 2019. *** ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Otherppl with Brad Listi⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ is a weekly podcast featuring in-depth interviews with today's leading writers. This episode is sponsored by Ulysses. Go to ⁠⁠⁠⁠⁠ulys.app/writeabook⁠⁠⁠⁠⁠ to download Ulysses, and use the code OTHERPPL at checkout to get 25% off the first year of your yearly subscription. Available where podcasts are available: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, etc. Get ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠How to Write a Novel,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ the debut audio course from DeepDive. 50+ hours of never-before-heard insight, inspiration, and instruction from dozens of today's most celebrated contemporary authors. Subscribe to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Brad's email newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Support the show on Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Merch⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Email the show: letters [at] otherppl [dot] com The podcast is a ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠proud affiliate partner of Bookshop⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, working to support local, independent bookstores. Learn more about your ad choices. Visit megaphone.fm/adchoices

Our guest is Reverend Dr. Masaki Matsubara, who is an eighteenth-generation Zen priest in the Japanese Rinzai tradition. His career is unique and impressive. Following his Zen monastic training in Heirinji Monastery in Japan, he moved to the US in 1999 to study at Cornell University, where he eventually earned a PhD in Asian religions. Since then, he has taught Buddhist studies at prominent institutions, including U.C. Berkeley, Stanford University, Cornell University, Brown University and the University of Tokyo. Also, Rev. Matsubara is the head abbot of Butsumoji Zen Temple in Chiba, Japan Reverend Matsubara joined us in Episode #377 in September 2025 and discussed important ideas underlying Japanese society, such as the true meaning of Zen and the difference between Zen and mindfulness. Now, he is back to talk about food in Zen practice. Generally speaking, in business organizations, the lower level of the hierarchy tends to be in charge of food matters. CEO's would not choose and order lunch items for their employees, for instance. However, in Zen practice, preparing and serving meals is a very important part of training and the cook is called Tenzo. The idea of prioritizing meal preparation, as much as meditation and studying Buddhism, came from the classic book Tenzo Kyokun, written by the Japanese Zen Buddhist master Dogen in 1237. The book is old and sounds aloof from our daily lives, but there are many valuable lessons for living mindfully in our modern lifestyle. In this episode, we will discuss why food is essential in Zen practice, the precious lessons in the book Tenzo Kyokun, how you can practice a mindful approach to food in your daily life, how Japanese vegetarian cuisine Shojin Ryori exemplifies the essence of mindful eating and much, much more!!! The latest information on Reverend Matsubara's meditation sessions is found here on Instagram:@masakimatsubara.zen@the.gallery.nyc@o.d.o_nySee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Commuting from East Bay cities like Berkeley and Oakland into San Francisco can be dismal. So when people learn there used to be an extensive streetcar system that crisscrossed the East Bay they want to know, what happened to it? The Key System, as it was known, could get a person from Berkeley or Oakland into San Francisco in 35-40 minutes and was a popular way to travel in the early part of the 20th century. What happened to it and were there nefarious forces contributing to its demise? Additional Resources: The Rise and Fall of Bay Area Streetcar Transit Systems Read the transcript for this episode Uncovering the Real Story Behind the 'East Bay Mystery Walls' Crows Are Crowding Your Bay Area Skies. Why? Bridge Tolls, Lane Closures and Vanity Plates: Your Bay Area Transit Questions Answered Sign up for our newsletter Got a question you want answered? Ask! Your support makes KQED podcasts possible. You can show your love by going to https://kqed.org/donate/podcasts This story was reported by Dan Brekke. Bay Curious is made by Katrina Schwartz, Christopher Beale and Olivia Allen-Price. Additional support from Jen Chien, Katie Sprenger, Maha Sanad, Ethan Toven-Lindsey and everyone on Team KQED. Learn more about your ad choices. Visit megaphone.fm/adchoices

Dr. Vince Minjares is a Program Manager of the Aspen Institute Sports & Society Program with responsibility for driving Project Play's school sports and coaching portfolios. His current work addresses systemic issues in youth sport development with a focus on coaching, athlete development, and player health. Current projects include the Million Coaches Challenge, National ACL Injury Coalition and coach development consulting with youth sports institutions. Vincent holds a Ph.D. in Coaching & Pedagogy from AUT University (Auckland, NZ), an M.A. in Education from U.C. Berkeley, and a B.A. in Economics from Claremont McKenna College. In our conversation today we take a deep dive into his journey as a coach and coach educator, look at the current programs he is working on, and discuss the importance of creating an environment that helps us retain our best coaches.  Here are links to some of the items we discussed: National Coach Survey (2022) — with Nike, Ohio St. University, Susan Crown Exchange and Aspen Institute  https://www.aspeninstitute.org/wp-content/uploads/2022/11/national-coach-survey-report-preliminary-analysis.pdf   Million Coaches Challenge Call to Action Statement https://www.millioncoaches.org/calls-to-action/ https://www.millioncoaches.org/   BOOK A SPEAKER: Interested in having John or one of our speaking team come to your school, club or coaching event? We are booking November and December 2025 and Winter/Spring 2026 events, please email us to set up an introductory call John@ChangingTheGameProject.com PUT IN YOUR BULK BOOK ORDERS FOR OUR BESTSELLING BOOKS, AND JOIN 2025 CHAMPIONSHIP TEAMS FROM SYRACUSE MENS LAX, UNC AND NAVY WOMENS LAX, AND MCLAREN F1! These are just the most recent championship teams using THE CHAMPION TEAMMATE book with their athletes and support teams. Many of these coaches are also getting THE CHAMPION SPORTS PARENT so their team parents can be part of a successful culture. Schools and clubs are using EVERY MOMENT MATTERS for staff development and book clubs. Are you?  We have been fulfilling numerous bulk orders for some of the top high school and collegiate sports programs in the country, will your team be next? Click here to visit John's author page on Amazon Click here to visit Jerry's author page on Amazon Please email John@ChangingTheGameProject.com if you want discounted pricing on 10 or more books on any of our books. Thanks everyone. This week's podcast is brought to you by our friends at Sprocket Sports.  Sprocket Sports is a new software platform for youth sports clubs.  Yeah, there are a lot of these systems out there, but Sprocket provides the full enchilada. They give you all the cool front-end stuff to make your club look good– like websites and marketing tools – AND all the back-end transactions and services to run your business better so you can focus on what really matters – your players and your teams. Sprocket is built for those clubs looking to thrive, not just survive, in the competitive world of youth sports clubs.  So if you've been looking for a true business partner – not just another app – check them out today at https://sprocketsports.me/CTG. BECOME A PREMIUM MEMBER OF CHANGING THE GAME PROJECT TO SUPPORT THE PODCAST If you or your club/school is looking for all of our best content, from online courses to blog posts to interviews organized for coaches, parents and athletes, then become a premium member of Changing the Game Project today. For over a decade we have been creating materials to help change the game. and it has become a bit overwhelming to find old podcasts, blog posts and more. Now, we have organized it all for you, with areas for coaches, parents and even athletes to find materials to help compete better, and put some more play back in playing ball. Clubs please email John@ChangingTheGameProject.com for pricing.  Become a Podcast Champion! This weeks podcast is also sponsored by our Patreon Podcast Champions. Help Support the Podcast and get FREE access to our Premium Membership, with well over $1000 of courses and materials. If you love the podcast, we would love for you to become a Podcast Champion, (https://www.patreon.com/wayofchampions) for as little as a cup of coffee per month (OK, its a Venti Mocha), to help us up the ante and provide even better interviews, better sound, and an overall enhanced experience. Plus, as a $10 per month Podcast Super-Champion, you will be granted a Premium Changing the Game Project Membership, where you will have access to every course, interview and blog post we have created organized by topic from coaches to parents to athletes. Thank you for all your support these past eight years, and a special big thank you to all of you who become part of our inner circle, our patrons, who will enable us to take our podcast to the next level. https://www.patreon.com/wayofchampions

GeoIP PF FreeBSD, ZFs in production, linuxulator feels like magic, XFCE is great, the scariest boot code, and more... NOTES This episode of BSDNow is brought to you by Tarsnap and the BSDNow Patreon Headlines GeoIP-Aware Firewalling with PF on FreeBSD ZFS in Production: Real-World Deployment Patterns and Pitfalls News Roundup Xfce is great Linuxulator on FreeBSD Feels Like Magic The scariest boot loader code OpenBSD-current now runs as guest under Apple Hypervisor Tarsnap This weeks episode of BSDNow was sponsored by our friends at Tarsnap, the only secure online backup you can trust your data to. Even paranoids need backups. Feedback/Questions Matt - Audio Levels Interviews can be troublesome because there's only so much we can do with multiple guests with multiple feeds, and mulitple audio conditions. We can try to normalize but sometimes it's just not easy to do without editing taking an entire day.. Send questions, comments, show ideas/topics, or stories you want mentioned on the show to feedback@bsdnow.tv Join us and other BSD Fans in our BSD Now Telegram channel

Guest: Jack West In this episode, host Steve Roby welcomes guitarist, composer, and inventor Jack West, whose unique sound NPR once described as "a whole new sub-genre of jazz." After more than two decades away from the recording studio, Jack returns with two major projects: the stunning new album Guitars on Life (a duet collaboration with Walter Strauss) and Essential Curvature, a retrospective compilation of his best work from the 1990s and 2000s. Episode Highlights: Jack discusses his musical roots in rural Alabama and his decision in 1993 to leave rock bands and focus exclusively on acoustic guitarThe story behind his collaboration with Walter Strauss and how they wrote most of Guitars on Life in just one weekJack's innovative "acoustic spank" technique, which allows him to simultaneously play guitar, bass, and percussionHis invention of a specialized thumb pick that enables rapid-fire triplet strikes in both directionsThe eco-friendly PET plastic vinyl alternative used for the Guitars on Life releaseA preview of his upcoming Gliss Guitar - a revolutionary acoustic guitar with motorized pitch control on every string Music Featured: "More Guitar" from Guitars on Life"Double Bounce" from Guitars on LifeAll music featured in this episode was supplied by Jack West and used with his permission. Upcoming Show:Catch Jack West live at the Freight & Salvage in Berkeley on Thursday, February 26th at 8:00 PM for a special double bill featuring: The Jack West Slide Guitar Ensemble (featuring Josh Jones on drums, Gary Brown on bass, and Lalo Crane on marimba)The Walter Strauss & Jack West acoustic guitar duoTickets and more information: https://secure.thefreight.org/15495/15496-jack-west-walter-strauss-260226 Learn More:Visit Jack West's official website: https://www.jackwestguitar.com 

All over the world, masses of people watch, follow, document, and obsess over baseball. Everything remarkable about the impact of baseball derives from the game's history and cultural status as events that draw people together in these ways. Understanding baseball as a cultural phenomenon is therefore less a matter of mastering the vocabulary of the game or merely recollecting its iconic stadiums, players, and stats. While all those details compel insiders and inspire fans, baseball's peculiar and persistent appeal can only be understood by adopting a wider lens. It requires reckoning with the history of structured competition. The classic backyard game of catch between a father and son draws meaning from its associations with the organized sport and its history. The challenge lies less in finding one perfect spot to look, but rather in identifying the many different places where baseball has accumulated significance. Out of the Ballpark: How to Think about Baseball (Oxford University Press, 2026) reconsiders the character, meaning, and delights of the game by exploring both baseball's unusual features and the sport's many resonances with other aspects of modern life. To this end, it abandons several assumptions and mythologies that underlie most approaches to histories of baseball: that it is unique among sports and fundamentally different from other kinds of entertainment; that it is specific to the United States; that it has changed fundamentally in recent years; and that the keys to understanding it lie primarily in examining what happens on the field of play. Instead, David M. Henkin moves across time and space to examine baseball's history since the nineteenth century and beyond US borders. He takes readers inside the structures of clubs and leagues, interprets the sacred scripture of rulebooks, and illuminates some of baseball's rites and rituals that are often associated with honor and manhood. He charts baseball's significance along the routes of American and Japanese imperial expansion and the shifting maps of race and ethnicity in the US. Baseball is found at negotiating tables that pit capital against labor and in pivotal moments in the history of mass media. Here, we are shown how baseball might offer a complex and capacious space for thinking about such things as spectatorship, success, community, order, and contingency in the modern world. David M. Henkin is Professor of History at the University of California, Berkeley, where he has taught courses on society and culture in nineteenth-century America for close to three decades. Caleb Zakarin is CEO and Publisher of the New Books Network. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/american-studies

Lonny Shavelson, M.D. is a national leader in medical aid in dying, reframing it as compassionate end-of-life care rooted in honest conversation, emotional support, and patient choice. He dispels myths equating it with suicide, explains safeguards against coercion, and highlights the importance of multidisciplinary, whole-person care.Lonny Shavelson, M.D is a California physician best known as a national leader in medical aid in dying for terminally ill patients. Dr Shavelson worked for nearly three decades as an emergency department physician in Berkeley, California, and later served as a primary care doctor in a clinic for immigrants and refugees. He's a founder and Board Chair of the Academy of Medical Aid-In-Dying, where he helps develop best practices, clinician education, and policy in this emerging field. He has also consulted widely with hospitals, ethics committees, and state efforts to implement aid-in-dying laws. He is the author of A Chosen Death (Simon & Schuster 1995) and Medical Aid In Dying: A Guide For Patients And Their Supporters (American Clinicians Academy on Medical Aid in Dying, 2022) Interview Date: 12/12/2025. Tags: Lonny Shavelson, Medical-aid-in dying, endoflife care, hospice, terminal illness, patient autonomy, coercion and safeguards, disability rights concerns , death doulas, suicide vs aid in dying, Death & Dying, Health & Healing, Social Change/Politics, Personal Transformation

All over the world, masses of people watch, follow, document, and obsess over baseball. Everything remarkable about the impact of baseball derives from the game's history and cultural status as events that draw people together in these ways. Understanding baseball as a cultural phenomenon is therefore less a matter of mastering the vocabulary of the game or merely recollecting its iconic stadiums, players, and stats. While all those details compel insiders and inspire fans, baseball's peculiar and persistent appeal can only be understood by adopting a wider lens. It requires reckoning with the history of structured competition. The classic backyard game of catch between a father and son draws meaning from its associations with the organized sport and its history. The challenge lies less in finding one perfect spot to look, but rather in identifying the many different places where baseball has accumulated significance. Out of the Ballpark: How to Think about Baseball (Oxford University Press, 2026) reconsiders the character, meaning, and delights of the game by exploring both baseball's unusual features and the sport's many resonances with other aspects of modern life. To this end, it abandons several assumptions and mythologies that underlie most approaches to histories of baseball: that it is unique among sports and fundamentally different from other kinds of entertainment; that it is specific to the United States; that it has changed fundamentally in recent years; and that the keys to understanding it lie primarily in examining what happens on the field of play. Instead, David M. Henkin moves across time and space to examine baseball's history since the nineteenth century and beyond US borders. He takes readers inside the structures of clubs and leagues, interprets the sacred scripture of rulebooks, and illuminates some of baseball's rites and rituals that are often associated with honor and manhood. He charts baseball's significance along the routes of American and Japanese imperial expansion and the shifting maps of race and ethnicity in the US. Baseball is found at negotiating tables that pit capital against labor and in pivotal moments in the history of mass media. Here, we are shown how baseball might offer a complex and capacious space for thinking about such things as spectatorship, success, community, order, and contingency in the modern world. David M. Henkin is Professor of History at the University of California, Berkeley, where he has taught courses on society and culture in nineteenth-century America for close to three decades. Caleb Zakarin is CEO and Publisher of the New Books Network. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

Download the Episode Transcript in .pdf formatIn this episode of the Fund the People Podcast, you'll gain practical insights into how centering workers' perspectives -- and sharing power between employees and management -- can dramatically improve job quality in nonprofit organizations.Host Rusty Stahl sits down with Brianna Rogers and Rob Hope of Rework The Bay to unpack a bold funding experiment supported by the James Irvine Foundation and conducted in partnership with Jobs for the Future. Eight California nonprofits engaged frontline staff as participatory researchers to examine their own working conditions and to co-create improvements with their organizations' top executives.The results challenge assumptions. While compensation is foundational, workers most emphasized voice, transparency, shared leadership, professional growth, and healthier work boundaries as essential components of a quality job. The project surfaced five key lessons: workers can surface what truly matters; leaders grow when they listen; power must be intentionally shared; strategies must be tailored to organizational context; and job quality is an ongoing process—not a one-time fix.Through concrete examples—from four-day workweeks to anonymous feedback systems and participatory decision-making—this conversation offers nonprofit leaders and funders actionable ideas to advance shared leadership, transform funding practices, and elevate collective voice.Part of our ongoing California Voices Series, this episode is a roadmap for anyone committed to building nonprofit workplaces where staff can thrive—and where stronger internal culture leads to stronger community impact.Speaker Bios:ReWork the Bay Initiative Officer Brianna Rogers partners on ReWork's fundraising efforts and leads our systems change projects focused on building worker power, workforce training and advancing job quality. Brianna grew up in Berkeley, attended Berkeley City College where she served as one of two student delegates to the Peralta Community College District, then transferred to UC Berkeley as a first-generation, re-entry student parent, earning her bachelor's degree in Rhetoric Studies. While at UCB, Brianna developed innovative programming for the UC Berkeley's African Student Development Center and the Department of Equity and Inclusion. She went on to receive her master's degree from the McCourt School of Public Policy at Georgetown University, got her start in philanthropy as a National Urban Fellow at the Andrus Family Fund in New York City. In October 2020, she joined the San Francisco Foundation's Partnership for HOPE SF team, where she worked until joining the ReWork team in 2022.ReWork the Bay Director Rob Hope is responsible for leading execution of ReWork the Bay's strategy, as well as fundraising, grantmaking, budget management and partnership building. Rob joined ReWork the Bay in October 2017, after serving as Chief Program Officer at Rubicon Programs. Prior professional experience includes all levels of workforce development direct services, program evaluation and policy analysis, and community building work. Rob has a Bachelor's in Sociology from Vassar College and a Master's in Public Policy from UC Berkeley.For more on Brianna and Rob, visit the staff page of ReWork the Bay.Links to Resources Discussed:Featured Initiative:Rework The BayJob Quality Project Report (June 2025)Project Partners:Jobs for the FutureThe PATH GroupFunding PartnerJames Irvine FoundationHost Organization:San Francisco FoundationParticipating Nonprofits Highlighted in the Episode:Canal AllianceCreating Restorative Opportunities and Programs (CROP)Related Fund the People Resources:Playlist for FTP Podcast's CA Voices SeriesReport on FTP's 2024-25 California ConveningsFTP Podcast Premium on PatreonFund the People - A Podcast with Rusty StahlFund the People WebsiteListen to this episode:This Episode on Apple PodcastsThis Episode on Spotify

All over the world, masses of people watch, follow, document, and obsess over baseball. Everything remarkable about the impact of baseball derives from the game's history and cultural status as events that draw people together in these ways. Understanding baseball as a cultural phenomenon is therefore less a matter of mastering the vocabulary of the game or merely recollecting its iconic stadiums, players, and stats. While all those details compel insiders and inspire fans, baseball's peculiar and persistent appeal can only be understood by adopting a wider lens. It requires reckoning with the history of structured competition. The classic backyard game of catch between a father and son draws meaning from its associations with the organized sport and its history. The challenge lies less in finding one perfect spot to look, but rather in identifying the many different places where baseball has accumulated significance. Out of the Ballpark: How to Think about Baseball (Oxford University Press, 2026) reconsiders the character, meaning, and delights of the game by exploring both baseball's unusual features and the sport's many resonances with other aspects of modern life. To this end, it abandons several assumptions and mythologies that underlie most approaches to histories of baseball: that it is unique among sports and fundamentally different from other kinds of entertainment; that it is specific to the United States; that it has changed fundamentally in recent years; and that the keys to understanding it lie primarily in examining what happens on the field of play. Instead, David M. Henkin moves across time and space to examine baseball's history since the nineteenth century and beyond US borders. He takes readers inside the structures of clubs and leagues, interprets the sacred scripture of rulebooks, and illuminates some of baseball's rites and rituals that are often associated with honor and manhood. He charts baseball's significance along the routes of American and Japanese imperial expansion and the shifting maps of race and ethnicity in the US. Baseball is found at negotiating tables that pit capital against labor and in pivotal moments in the history of mass media. Here, we are shown how baseball might offer a complex and capacious space for thinking about such things as spectatorship, success, community, order, and contingency in the modern world. David M. Henkin is Professor of History at the University of California, Berkeley, where he has taught courses on society and culture in nineteenth-century America for close to three decades. Caleb Zakarin is CEO and Publisher of the New Books Network. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/history

All over the world, masses of people watch, follow, document, and obsess over baseball. Everything remarkable about the impact of baseball derives from the game's history and cultural status as events that draw people together in these ways. Understanding baseball as a cultural phenomenon is therefore less a matter of mastering the vocabulary of the game or merely recollecting its iconic stadiums, players, and stats. While all those details compel insiders and inspire fans, baseball's peculiar and persistent appeal can only be understood by adopting a wider lens. It requires reckoning with the history of structured competition. The classic backyard game of catch between a father and son draws meaning from its associations with the organized sport and its history. The challenge lies less in finding one perfect spot to look, but rather in identifying the many different places where baseball has accumulated significance. Out of the Ballpark: How to Think about Baseball (Oxford University Press, 2026) reconsiders the character, meaning, and delights of the game by exploring both baseball's unusual features and the sport's many resonances with other aspects of modern life. To this end, it abandons several assumptions and mythologies that underlie most approaches to histories of baseball: that it is unique among sports and fundamentally different from other kinds of entertainment; that it is specific to the United States; that it has changed fundamentally in recent years; and that the keys to understanding it lie primarily in examining what happens on the field of play. Instead, David M. Henkin moves across time and space to examine baseball's history since the nineteenth century and beyond US borders. He takes readers inside the structures of clubs and leagues, interprets the sacred scripture of rulebooks, and illuminates some of baseball's rites and rituals that are often associated with honor and manhood. He charts baseball's significance along the routes of American and Japanese imperial expansion and the shifting maps of race and ethnicity in the US. Baseball is found at negotiating tables that pit capital against labor and in pivotal moments in the history of mass media. Here, we are shown how baseball might offer a complex and capacious space for thinking about such things as spectatorship, success, community, order, and contingency in the modern world. David M. Henkin is Professor of History at the University of California, Berkeley, where he has taught courses on society and culture in nineteenth-century America for close to three decades. Caleb Zakarin is CEO and Publisher of the New Books Network. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/latin-american-studies

All over the world, masses of people watch, follow, document, and obsess over baseball. Everything remarkable about the impact of baseball derives from the game's history and cultural status as events that draw people together in these ways. Understanding baseball as a cultural phenomenon is therefore less a matter of mastering the vocabulary of the game or merely recollecting its iconic stadiums, players, and stats. While all those details compel insiders and inspire fans, baseball's peculiar and persistent appeal can only be understood by adopting a wider lens. It requires reckoning with the history of structured competition. The classic backyard game of catch between a father and son draws meaning from its associations with the organized sport and its history. The challenge lies less in finding one perfect spot to look, but rather in identifying the many different places where baseball has accumulated significance. Out of the Ballpark: How to Think about Baseball (Oxford University Press, 2026) reconsiders the character, meaning, and delights of the game by exploring both baseball's unusual features and the sport's many resonances with other aspects of modern life. To this end, it abandons several assumptions and mythologies that underlie most approaches to histories of baseball: that it is unique among sports and fundamentally different from other kinds of entertainment; that it is specific to the United States; that it has changed fundamentally in recent years; and that the keys to understanding it lie primarily in examining what happens on the field of play. Instead, David M. Henkin moves across time and space to examine baseball's history since the nineteenth century and beyond US borders. He takes readers inside the structures of clubs and leagues, interprets the sacred scripture of rulebooks, and illuminates some of baseball's rites and rituals that are often associated with honor and manhood. He charts baseball's significance along the routes of American and Japanese imperial expansion and the shifting maps of race and ethnicity in the US. Baseball is found at negotiating tables that pit capital against labor and in pivotal moments in the history of mass media. Here, we are shown how baseball might offer a complex and capacious space for thinking about such things as spectatorship, success, community, order, and contingency in the modern world. David M. Henkin is Professor of History at the University of California, Berkeley, where he has taught courses on society and culture in nineteenth-century America for close to three decades. Caleb Zakarin is CEO and Publisher of the New Books Network. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/caribbean-studies

All over the world, masses of people watch, follow, document, and obsess over baseball. Everything remarkable about the impact of baseball derives from the game's history and cultural status as events that draw people together in these ways. Understanding baseball as a cultural phenomenon is therefore less a matter of mastering the vocabulary of the game or merely recollecting its iconic stadiums, players, and stats. While all those details compel insiders and inspire fans, baseball's peculiar and persistent appeal can only be understood by adopting a wider lens. It requires reckoning with the history of structured competition. The classic backyard game of catch between a father and son draws meaning from its associations with the organized sport and its history. The challenge lies less in finding one perfect spot to look, but rather in identifying the many different places where baseball has accumulated significance. Out of the Ballpark: How to Think about Baseball (Oxford University Press, 2026) reconsiders the character, meaning, and delights of the game by exploring both baseball's unusual features and the sport's many resonances with other aspects of modern life. To this end, it abandons several assumptions and mythologies that underlie most approaches to histories of baseball: that it is unique among sports and fundamentally different from other kinds of entertainment; that it is specific to the United States; that it has changed fundamentally in recent years; and that the keys to understanding it lie primarily in examining what happens on the field of play. Instead, David M. Henkin moves across time and space to examine baseball's history since the nineteenth century and beyond US borders. He takes readers inside the structures of clubs and leagues, interprets the sacred scripture of rulebooks, and illuminates some of baseball's rites and rituals that are often associated with honor and manhood. He charts baseball's significance along the routes of American and Japanese imperial expansion and the shifting maps of race and ethnicity in the US. Baseball is found at negotiating tables that pit capital against labor and in pivotal moments in the history of mass media. Here, we are shown how baseball might offer a complex and capacious space for thinking about such things as spectatorship, success, community, order, and contingency in the modern world. David M. Henkin is Professor of History at the University of California, Berkeley, where he has taught courses on society and culture in nineteenth-century America for close to three decades. Caleb Zakarin is CEO and Publisher of the New Books Network. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/sports

In this inspiring conversation, Dr. Laura Scherck Wittcoff welcomes Antonis Politis and Panos Kokmotos, two young Greek entrepreneurs who co-founded Givelink, a donation platform transforming how people give to nonprofits. GiveLink connects donors directly to nonprofits' real needs through in-kind giving, creating transparency, measurable impact, and genuine engagement every step of the way. KEY TOPICS DISCUSSED The Origin Story: How a Controversial Article Sparked an Idea Antonis shares how a Greek nonprofit's Christmas message telling people to "stop giving items" prompted him to reimagine philanthropy. Rather than dismissing the request, he saw a logistics problem waiting to be solved—what if nonprofits listed their actual needs and donors could order products online? From University to Startup: Building Givelink in Greece Starting as a university student with no business experience, Antonis entered a social entrepreneurship competition and realized he could combine profit with purpose. Despite initial struggles, the concept resonated with people who preferred in-kind giving over monetary donations due to trust concerns. The Café Meeting That Changed Everything Panos Kokmotos overheard Antonis's passionate conversation about Givelink's vision in a café and was immediately drawn to the mission. A few days later, they met for coffee, and Panos recognized how his skills and experience could fill critical gaps in the team. He joined the founding team, bringing operational expertise and entrepreneurial background. Building Trust in a Low-Trust Giving Culture Greece presented both a challenge and an opportunity. With only 10% of the population donating money to nonprofits, Givelink had to rebuild trust in philanthropy. This difficult market became a proving ground that made the team stronger and forced them to deeply understand donor psychology and nonprofit needs. The Data-Driven Insight: 60% More Giving One of Givelink's most significant findings: donors using the platform give 60% more throughout the year compared to before. Even in economically struggling Greece, transparency and tangible impact motivate people to give more frequently and more generously. The Problem with Seasonal Giving Antonis and Panos explain why giving peaks at Christmas and Thanksgiving—people lack confidence that their money is used wisely. Givelink solves this by making giving year-round, transparent, and emotionally rewarding through visible impact. How the Platform Works: Four Simple Steps Nonprofits set up real-time product wish lists of items essential to their operations. Donors browse the lists or use Smart Pick, which converts a dollar amount into the products needed most. At checkout, donors see the exact impact story—how many people they're helping and how their lives will change. After delivery, donors receive photo proof and ongoing impact updates. The "Smart Pick" Feature and Personalized Impact Panos demonstrates how donors can either manually select products or use Smart Pick to automate the process. When buying hygiene kits for a nonprofit helping children in Oakland, donors can see exactly how many children they'll impact and what difference those products will make—creating an emotional connection and retention. A Real Crisis: The Wildfire Response When wildfires devastated their Greek city in August, Givelink mobilized immediately. Two nonprofits supporting firefighters and victims added urgent needs to the platform. The response was staggering: over $30,000 in donations and 40,000 products in a single day. The team stopped all other work, gathered supplies in supermarkets, and personally delivered items to firefighters—experiencing firsthand the power of their mission. Scaling from Greece to the United States After proving the model in Greece, Givelink launched a pilot in the Bay Area (Oakland, Berkeley, San Francisco, Palo Alto) and is now expanding across California with plans to cover Los Angeles, smaller cities, and rural areas that often lack philanthropic funding. Legal considerations around tax deductibility vary by state, but the model is ready to scale nationally. Nonprofit Needs: From Food to Furniture In Greece, food dominates nonprofit wishlists, along with cleaning and hygiene products. In the U.S., a standout example is BOSS, a nonprofit helping people transition from homelessness and incarceration back into society. They needed bedsheets, pillows, and furniture—small items that are expensive and transformative when someone is rebuilding their life. Supplier Partnerships: Wholesale to Retail Givelink partners with wholesale suppliers like Group Sales and Dollar Days (30+ years in the nonprofit space), as well as Amazon for retail options. This tiered approach ensures nonprofits get the best prices and donors have flexibility in what they can give. The Role of AI in Storytelling Givelink is launching AI-generated impact stories based on nonprofit data, descriptions, websites, blogs, images, and videos. This allows donors to see personalized stories at checkout—how their specific donation will change lives. The long-term vision is to integrate real stories directly from nonprofit beneficiaries. RESOURCES & LINKS Givelink Website: givelink.app Small & Gutsy Podcast: SmallandGutsy.org Dr. Laura Scherck Wittcoff's Podcast: Small & Gutsy (ranked #8 on Feedspot's Top 30 Social Impact Podcasts and #9 by Million Podcast for youth empowerment episodes)

State Senator Tom Willis, R, Berkeley, 15, and candidate for the U.S. Seanate on his campaign and legislative activity in Charleston. Keith Heasley from the Heasley Homestead about Mountain State Maple Days. State Senator Ben Queen, R, Harrison, 12, on the state budget and cut to the personal inccome tax. 

Cela se passe en 1939 à la prestigieuse université de Berkeley en Californie. Ce jour-là, George Dantzig, un étudiant, arrive en retard en cours de mathématiques. Il s'installe en essayant de se faire remarquer le moins possible. Dans "Ah Ouais ?", Florian Gazan répond en une minute chrono à toutes les questions essentielles, existentielles, parfois complètement absurdes, qui vous traversent la tête. Un podcast RTL Originals.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Dr. Andrew Friedman is an Assistant Research Scientist at the Center for Astrophysics and Space Sciences at the University of California, San Diego (UCSD). He is also a Research Affiliate at the Massachusetts Institute of Technology (MIT). As an astrophysicist and cosmologist, Andy is studying the history of the universe from the Big Bang through present day. Andy and his colleagues use the universe as a laboratory to learn more about how things work. Specifically, Andy uses observations of astronomical objects in other galaxies to learn about fundamental physics and quantum mechanics. When he's not at work, you can find Andy hanging out with his wife and dog, or enjoying good food and good conversation with friends and family. Andy received his bachelor's degree in physics and astrophysics from the University of California, Berkeley and his master's and PhD degrees in Astronomy and Astrophysics from Harvard University. Afterwards, Andy worked as a National Science Foundation Postdoctoral Fellow at MIT, a National Science Foundation funded Research Associate at MIT, and a Visiting Research Scientist at the MIT Center for Theoretical Physics. He joined the Center for Astrophysics and Space Sciences at UCSD in 2017. In our interview, Andy tells us more about his life and science.

I so enjoyed my conversation Andy Hnilo, the man behind Alitura Naturals.Who would have ever thought that coming so close to facing death in 2011 would be the catalyst for creating an amazing and ever-growing skin care line?And the story gets even better when we learn that the mask Andy created to heal his mashed up face was the first ever product he brought to market.Andy has been using amazing ingredients such as colostrum and pearl powder before many even knew what they were. These are 2 ingredients I love keeping stocked in my home, so when I heard about Andy and his products years ago, it got my attention.In this interview, Andy gets into the story of how he got to Alitura. He is so passionate about what he does, and it comes through so authentically when he speaks of it.From a baseball player, to getting a lead role in a movie as a baseball player, to a crushing accident, to skin care formulation, and to more recently overcoming addiction, Andy has many stories to share.And his passion for what he does is undeniable and palpable.Andy gets incredibly vulnerable about his battle with alcohol addiction and how sobriety transformed everything.This is a gem of a conversation that touches on resilience, authenticity, ageing gracefully, addiction, gratitude and more.And I have a discount code for 20% off! Use code TSC20 at www.alitura.comIn today's show:1:00 - Andy's life-changing accident and recovery journey4:09 - How a Berkeley herbal shop changed everything at age 185:30 - Andy's struggles with cystic acne7:56 - From baseball to acting and landing roles without training11:00 - The accident that changed everything in March 20th, 201111:08 - Inspiration as he walked out of the hospital11:50 - Creating his first clay mask during recovery16:00 - Getting back into the entertainment industry post-accident17:51 - How Dave Asprey and Bulletproof helped launch Alitura20:17 - From batches made in his wee apartment to a 25-product skincare line23:57 - Why organic ingredients actually matter for skin absorption27:12 - How Andy was ahead of the curve using copper peptides32:18 - The truth about toxic ingredients in mainstream skincare36:45 - Why Andy uses miron glass for packaging44:00 - The power of microcirculation and clay masks48:45 - Derma rolling, red light therapy, and ageing gracefully56:45 - Why Andy will never use Botox or fillers64:25 - Hitting rock bottom and Andy's path to sobriety67:47 - Moving to Sedona and finding purpose in recovery71:05 - Why Andy wants to help others struggling with addiction73:20 - Essential products: cleanser, gold serum, and night creamand more!If you enjoyed this episode, please share and consider going to www.sovereigncollective.org/shop to check out my offerings and get a deal while supporting the podcast. I'll be adding more great offerings there over time.Use code TSC20 and save 20% here: www.alitura.comFind Andy on the socials:Facebook: https://www.facebook.com/AlituraNaturalsInstagram: https://www.instagram.com/alituranaturals/You Tube: https://www.youtube.com/@AlituraNaturals--------------------------------------------Find me:Facebook: https://www.facebook.com/saschakalivoda/IG: https://www.instagram.com/saschaksays/Website: www.sovereigncollective.orgYou Tube: https://www.youtube.com/@saschasays/videosBitchute: https://www.bitchute.com/channel/Tfl1Zo021FcXEmail: sascha @ sovereigncollective.orgRead less

Long before we know what social status is, we know how it works. There's always a popular crowd from the playground to the office and everyone knows who's in and who is out. Toby Stuart is a Professor of Business Administration at University of California, Berkeley. He argues that instinct about social status never leaves us. It becomes the invisible architecture of adult life directing attention, opportunity, and reward in ways that have little to do with fairness or talent. It shapes what we admire, what we buy, even what we believe is good. But as algorithms increasingly rank, rate, and recommend on our behalf, the old status ladders may be wobbling. His latest book explores how power and prestige really work and what happens when the system starts to shift. It's called Anointed: The Extraordinary Effects of Social Status in a Winner-Take-Most World,

Image Bearers Pastor Lisa 02/15/26

The Dodleston Messages with Paul Rogers Dr Paul Rogers is a freelance researcher and Visiting Research Fellow at the University of Northampton, having previously been a (senior) lecturer in psychology at different British universities. He has published over fifty peer-reviewed papers in social psychology and social cognition, including twenty papers on various aspects of anomalistic psychology such as paranormal believers' proneness to probabilistic reasoning biases. He lives in Portsmouth where he is currently researching The Dodleston Messages. He examines The Dodleston Messages, a deeply puzzling case involving apparent communication across centuries through early 1980s computer technology. Paul outlines the historical, linguistic, and technological evidence that challenges conventional explanations, including poltergeist phenomena and informational time transfer. Rogers explores the broader implications for consciousness, time, and the limits of current scientific models. New Thinking Allowed host, Jeffrey Mishlove, PhD, is author of The Roots of Consciousness, Psi Development Systems, and The PK Man. Between 1986 and 2002 he hosted and co-produced the original Thinking Allowed public television series. He is the recipient of the only doctoral diploma in “parapsychology” ever awarded by an accredited university (University of California, Berkeley, 1980). He is also the Grand Prize winner of the 2021 Bigelow Institute essay competition regarding the best evidence for survival of human consciousness after permanent bodily death. He is Co-Director of Parapsychology Education at the California Institute for Human Science. (Recorded on December 30, 2025) For a short video on How to Get the Most From New Thinking Allowed, go to https://youtu.be/aVbfPFGxv9o For a complete, updated list with links to all of our videos, see https://newthinkingallowed.com/Listings.htm. Check out the New Thinking Allowed Foundation website at http://www.newthinkingallowed.org. There you will find our incredible, searchable database as well as opportunities to shop and to support our video productions – plus, this is where people can subscribe to our FREE, weekly Newsletter and can download a FREE .pdf copy of our quarterly magazine. To order high-quality, printed copies of our quarterly magazine: NTA-Magazine.MagCloud.com Check out New Thinking Allowed’s AI chatbot. You can create a free account at awakin.ai/open/jeffreymishlove. When you enter the space, you will see that our chatbot is one of several you can interact with. While it is still a work in progress, it has been trained on 1,600 NTA transcripts. It can provide intelligent answers about the contents of our interviews. It’s almost like having a conversation with Jeffrey Mishlove. If you would like to join our team of volunteers, helping to promote the New Thinking Allowed YouTube channel on social media, editing and translating videos, creating short video trailers based on our interviews, helping to upgrade our website, or contributing in other ways (we may not even have thought of), please send an email to friends@newthinkingallowed.com. To download and listen to audio versions of the New Thinking Allowed videos, please visit our new podcast at https://itunes.apple.com/us/podcast/new-thinking-allowed-audio-podcast/id1435178031. Download and read Jeffrey Mishlove’s Grand Prize essay in the Bigelow Institute competition, Beyond the Brain: The Survival of Human Consciousness After Permanent Bodily Death, go to https://www.bigelowinstitute.org/docs/1st.pdf. You can help support our video productions while enjoying a good book. To order a copy of New Thinking Allowed Dialogues: Is There Life After Death? click on https://amzn.to/3LzLA7Y (As an Amazon Associate we earn from qualifying purchases.) To order the second book in the New Thinking Allowed Dialogues series, Russell Targ: Ninety Years of ESP, Remote Viewing, and Timeless Awareness, go to https://amzn.to/4aw2iyr To order a copy of New Thinking Allowed Dialogues: UFOs and UAP – Are We Really Alone?, go to https://amzn.to/3Y0VOVh To order a copy of Charles T. Tart: Seventy Years of Exploring Consciousness and Parapsychology, go to https://amzn.to/4oOUJLn

A cancer diagnosis can be devastating. And the chemotherapy that often follows can be particularly rigorous. The American Cancer Society projects that 2.1 million people in the United States will be diagnosed with cancer in 2026—but researchers are making major advances in cancer treatment and patient survival. Ziyang Zhang is a chemist and 2023 Pew-Stewart Scholar for Cancer Research who leads cutting-edge studies on reducing the negative effects of chemotherapy on cancer patients. In his lab at the University of California, Berkeley, he and his team are producing new tools at the chemical level that will help to develop more effective therapies to target cancer mutations and avoid damage to healthy cells.

In this episode, I am joined by Jensen Martin, a scholar-practitioner and PhD student at the Graduate Theological Union in Berkeley, California. Jensen recalls how his childhood experiences playing the World of Warcraft and reading fantasy books awakened a deep longing for real experiences of magick and shamanism, how reading spiritual biographies inspired him become a live-in member of the Self Realisation Fellowship, and how trips in India drew him to the practice of bhakti. Jensen recounts powerful visions of Narasiṃha and Egyptian gods, transformative darśanas with Indian gurus such as Amma the Hugging Saint, and experiments with the power of mantra recitation. Jensen also describes his deep dive into psychedelic use, reveals his extensive experience with ayahuasca, and details his journey to a full-scholarship PhD at the Graduate Theological Union. … Video version: www.guruviking.com Also available on Youtube, iTunes, & Spotify – search ‘Guru Viking Podcast'. … Topics include: 00:00 - Intro 01:07 - Narasiṃha 01:52 - Jensen's childhood 02:50 - Drawn to shamanism through World of Warcraft 04:41 - Reading about shamanism and pagan religion 06:17 - Inspired by fantasy and World of Warcraft 09:48 - Lucid dreaming practice and animal totems 12:42 - Reading “Autobiography of a Yogi” 14:35 - Move to Humboldt county to pursue samadhi in nature 15:45 - Experimenting with substances 16:48 - Living at the Self Realisation Fellowship and time in India 20:55 - Masters degree in Yoga Studies 21:36 - Thirst for magickal experiences 27:50 - Living hand to mouth 29:33 - Jensen's practice regime 32:00 - Hassidic Judaism, Orthodox Christianity, and Amma Sri Mātā Amritānandamayī Devi  35:35 - Academic studies 37:09 - Powerful darśana from Amma Sri Karunamayi 40:38 - Further trips to India and practicing bhakti 42:36 - Encounter with Narasimha 46:38 - Attending the 2019 Kumbh Mela 50:00 - Dream of Egyptian Narasimha connections 54:41 - Extreme sickness and vision of Narasimha 01:02:52 - Meeting Dhruva Gorrick 01:04:37 - Powerful encounter with Amma the hugging saint 01:08:52 - Why not to share significant spiritual experiences 01:10:00 - Going deep with ayahuasca and other psychedelics 01:23:18 - Mantras coming alive 01:24:54 - High frequency of psychedelic trips 01:25:58 - Work as park ranger 01:26:54 - Negative ayahuasca experiences and magickal attack 01:39:47 - Encountering Narasimha on ayahuasca 01:49:37 - A new theme for Jensen's ayahuasca ceremonies 01:57:02 - Lineage spirits commanded Jensen to stop ayahuasca 01:57:38 - Further visions 01:59:05 - Encountering Vishnu and further pleas to stop taking ayahuasca 02:07:27 - Return to Amma and Narasimha initiation 02:08: 42 - Receiving a PhD scholarship to study Narasimha 02:15:41 - Still drinking ayahuasca 02:19:52 - Uniqueness of the human body 02:21:02 - Borrowing psychic power and astral contracts 02:29:46 - Why does Jensen keep using ayahuasca despite warnings? … To find our more about Jensen Martin visit: - https://www.instagram.com/jensen_sudarshan/ For more interviews, videos, and more visit: - https://www.guruviking.com Music ‘Deva Dasi' by Steve James

This week on Everybody in the Pool, another sexy gadget that doubles as a grid asset! We take a field trip to the Berkeley headquarters of Copper, which is reimagining the humble stove as a powerful tool for decarbonization. Their flagship product, Charlie, is a 30-inch induction range with a built-in battery that allows for plug-and-play installation, precise cooking, and the potential to support grid stability.We talk about: How a battery in a stove can reduce the need for electrical infrastructure upgradesThe magic of induction cooking - safety, precision, and efficiencyIncentive programs making electrification more accessibleThe potential for appliances to become grid interactive assetsCopper's vision for scaling electrification across housingBonus: their in-house chef loves it, too.Links:Copper: https://www.copper.com/ All episodes: https://www.everybodyinthepool.com/ Subscribe to the Everybody in the Pool newsletter: https://www.mollywood.co/ Become a member for the ad-free version of the show: https://everybodyinthepool.supercast.com/ Hosted on Acast. See acast.com/privacy for more information.

AT&T's $2000 shell, ZFS Scrubs and Data Integrity, FFS Backups, FreeBSD Home Nas, and more. NOTES This episode of BSDNow is brought to you by Tarsnap and the BSDNow Patreon Headlines One too many words on AT&T's $2,000 Korn shell and other Usenet topics Understanding ZFS Scrubs and Data Integrity News Roundup FFS Backup FreeBSD: Home NAS, part 1 – configuring ZFS mirror (RAID1) 8 more parts! Beastie Bits The BSD Proposal UNIX Magic Poster Haiku OS Pulls In Updated Drivers From FreeBSD 15 FreeBSD 15.0 VNET Jails Call for NetBSD testing Tarsnap This weeks episode of BSDNow was sponsored by our friends at Tarsnap, the only secure online backup you can trust your data to. Even paranoids need backups. Feedback/Questions Gary - Links Send questions, comments, show ideas/topics, or stories you want mentioned on the show to feedback@bsdnow.tv Join us and other BSD Fans in our BSD Now Telegram channel

In this episode of An Examined Education, alumna Jasmine Rupani Gingrich (Class of 2019) reflects on how her years at The Cambridge School shaped not only her academic path, but her understanding of grace, vocation, and faithful presence in the world. From discovering a love of rhetoric that led her to study communications at Gordon College, to working as a barista in Berkeley and later serving in church ministry, Jasmine shares how a classical Christian education formed her confidence, humility, and sense of purpose. With honesty about performance anxiety and gratitude for mentors who pointed her toward God's grace, she explores what it means to apply a rigorous education beyond prestigious titles — into hospitality work, community life, children's ministry, and everyday faithfulness. Jasmine's story is a compelling reminder that the true aim of education is not status, but formation — shaping men and women who love the Lord, serve thoughtfully, and carry wisdom into every sphere of life.

Jeremy Nixon is a prominent AI researcher, entrepreneur, and the co-founder of AGI House, a leading "hacker house" community for artificial intelligence developers in Silicon Valley. He studied Applied Math, Computer Science, and Economics at Harvard and was previously a researcher at Google Brain.This footage was shot for a documentary project, "Dreamers and Doomers," about the SF Bay Area and the dawn of AGI.(00:00) - Dreamers and Doomers: Jeremy Nixon at AGI House – #105 (01:47) - Introduction and Welcome (05:56) - Jeremy Nixon's biography (08:48) - AGI House and collectives (43:59) - AI and Scientific Research (45:52) - Existential Risks and Doom (54:14) - AI and Human Progress (01:26:42) - Job Automation and Society (01:31:35) - Future of AI and Technology –Steve Hsu is Professor of Theoretical Physics and of Computational Mathematics, Science, and Engineering at Michigan State University. Previously, he was Senior Vice President for Research and Innovation at MSU and Director of the Institute of Theoretical Science at the University of Oregon. Hsu is a startup founder (SuperFocus.ai, SafeWeb, Genomic Prediction, Othram) and advisor to venture capital and other investment firms. He was educated at Caltech and Berkeley, was a Harvard Junior Fellow, and has held faculty positions at Yale, the University of Oregon, and MSU. Please send any questions or suggestions to manifold1podcast@gmail.com or Steve on X @hsu_steve.

Send a textThis episode features Ursula Jones Dickson, the current District Attorney of Alameda County, and Emilie Raguso, a journalist who runs The Berkeley Scanner, an independent public safety news outlet covering Berkeley and the DA's office. Both work closely with the criminal justice system from different sides, one inside government and one reporting on it. Ursula talks about leading a large District Attorney's office after a period of instability, rebuilding staff, fixing budget problems, and clearing a major case backlog. Emilie shares her experience covering crime, courts, and prosecutors over many years, including how public attention on the DA's office changed after a high-profile recall. Together, they reflect on how policy shifts, staffing changes, and public trust affect how justice is delivered day to day. The conversation covers how the DA's office works in practice, victims' rights in California, gun and violence related charging decisions, and the challenges of running a major public office under public and political pressure. Emilie also discusses the role of journalists in verifying claims, slowing down reporting, and explaining complex legal systems to the public. Tune in to hear an inside look at how a major prosecutor's office is rebuilt, how journalists track accountability in real time, and what both sides see as the biggest challenges facing criminal justice right now. Plus, they offer a practical view of how law, media, and public trust intersect when decisions affect an entire community. Ursula Jones Dickson for DAhttps://www.ursulajonesdicksonforda.com/ The Berkeley Scanner https://www.berkeleyscanner.com/ Louis Goodman www.louisgoodman.comhttps://www.lovethylawyer.com/510.582.9090Music: Joel Katz, Seaside Recording, MauiTech: Bryan Matheson, Skyline Studios, OaklandAudiograms: Paul Robert louis@lovethylawyer.com

In this episode, I'm joined by Mandy Mooney — author, corporate communicator, and performer — for a wide-ranging conversation about mentorship, career growth, and how to show up authentically in both work and life.   We talk about her path from performing arts to corporate communications, and how those early experiences shaped the way she approaches relationships, leadership, and personal authenticity. That foundation carries through to her current role as VP of Internal Communications, where she focuses on building connections and fostering resilience across teams.   We explore the three pillars of career success Mandy highlights in her book Corporating: Three Ways to Win at Work — relationships, reputation, and resilience — and how they guide her approach to scaling mentorship and helping others grow. Mandy shares practical strategies for balancing professional responsibilities with personal passions, and why embracing technology thoughtfully can enhance, not replace, human connection.   The conversation also touches on parenting, building independence in children, and the lessons she's learned about optimism, preparation, and persistence — both in the workplace and at home.   If you're interested in scaling mentorship, developing your career with intention, or navigating work with authenticity, this episode is for you. And if you want to hear more on these topics, catch Mandy speaking at Snafu Conference 2026 on March 5th. 00:00 Start 02:26 Teaching Self-Belief and Independence Robin notes Mandy has young kids and a diverse career (performing arts → VP of a name-brand company → writing books). Robin asks: "What are the skills that you want your children to develop, to stay resilient in the world and the world of work that they're gonna grow up in?" Emphasis on meta-skills. Mandy's response: Core skills She loves the question, didn't expect it, finds it a "thrilling ride." Observes Robin tends to "put things out there before they exist" (e.g., talking about having children before actually having them). Skill 1: Envisioning possibilities "Envision the end, believe that it will happen and it is much more likely to happen." Teaching children to see limitless possibilities if they believe in them. Skill 2: Independence Examples: brushing their own hair, putting on clothes, asking strangers questions. One daughter in Girl Scouts: learning sales skills by approaching strangers to sell cookies. Independence builds confidence and problem-solving abilities for small and big life challenges. Skill 3: Self-belief / Self-worth Tied to independence. Helps children navigate life and career successfully. Robin asks about teaching self-belief Context: Mandy's kids are 6 and 9 years old (two girls). Mandy's approach to teaching self-belief Combination of: Words Mandy uses when speaking to them. Words encouraged for the children to use about themselves. Example of shifting praise from appearance to effort/creativity: Instead of "You look so pretty today" → "Wow, I love the creativity that you put into your outfit." Reason: "The voice that I use, the words that I choose, they're gonna receive that and internalize it." Corrective, supportive language when children doubt themselves: Example: Child says, "I'm so stupid, I can't figure out this math problem." Mandy responds: "Oh wow. That's something that we can figure out together. And the good news is I know that you are so smart and that you can figure this out, so let's work together to figure it out." Asking reflective questions to understand their inner thoughts: Example: "What's it like to be you? What's it like to be inside your head?" Child's response: "Well, you worry a lot," which Mandy found telling and insightful. Emphasizes coming from a place of curiosity to check in on a child's self-worth and self-identity journey. 04:30 Professional Journey and Role of VP of Internal Comms Robin sets up the question about professional development Notes Mandy has mentored lots of people. Wants to understand: Mandy's role as VP of Internal Communications (what that means). How she supports others professionally. How her own professional growth has been supported. Context: Robin just finished a workshop for professionals on selling themselves, asking for promotions, and stepping forward in their careers. Emphasizes that she doesn't consider herself an expert but learns from conversations with experienced people like Mandy. Mandy explains her role and path Career path has been "a winding road." Did not study internal communications; discovered it later. Finds her job fun, though sometimes stressful: "I often think I might have the most fun job in the world. I mean, it, it can be stressful and it can't, you know, there are days where you wanna bang your head against the wall, but by and large, I love my job. It is so fun." Internal communications responsibility: Translate company strategy into something employees understand and are excited about. Example: Translate business plan for 2026 to 2,800 employees. Team's work includes: Internal emails. PowerPoints for global town halls. Speaking points for leaders. Infusing fun into company culture via intranet stories (culture, customers, innovation). Quick turnaround on timely stories (example: employee running seven marathons on seven continents; story created within 24 hours). Storytelling and theater skills are key: Coaching leaders for presentations: hand gestures, voice projection, camera presence. Mandy notes shared theater background with Robin: "You and I are both thespian, so we come from theater backgrounds." Robin summarizes role Sounds like a mix of HR and sales: supporting employee development while "selling" them on the company. Mandy elaborates on impact and mentorship Loves making a difference in employees' lives by giving information and support. Works closely with HR (Human Resources) to: Provide learning and development opportunities. Give feedback. Help managers improve. Wrote a book to guide navigating internal careers and relationships. Mentorship importance: Mentors help accelerate careers in any organization. Mandy's career journey Started studying apparel merchandising at Indiana University (with Kelley School of Business minor). Shifted from pre-med → theater → journalism → apparel merchandising. Took full advantage of career fairs and recruiter networking at Kelley School of Business. "The way that I've gotten jobs is not through applying online, it's through knowing somebody, through having a relationship." First role at Gap Inc.: rotational Retail Management Training Program (RMP). Some roles enjoyable, some less so; realized she loved the company even if some jobs weren't ideal. Mentor influence: Met Bobby Stillton, president of Gap Foundation, who inspired her with work empowering women and girls. Took a 15-minute conversation with Bobby and got an entry-level communications role. Career growth happened through mentorship, internal networking, and alignment with company she loved. Advice for her daughters (Robin's question) Flash-forward perspective: post-college or early career. How to start a career in corporate / large organizations: Increase "luck surface area" (exposure to opportunities). Network in a savvy way. Ask at the right times. Build influence to get ahead. Mentorship and internal relationships are key, not just applying for jobs online. 12:15 Career Advice and Building Relationships Initial advice: "Well first I would say always call your mom. Ask for advice. I'm right here, honey, anytime." Three keys to success: Relationships Expand your network. "You say yes to everything, especially early in your career." Examples: sit in on meetings, observe special projects, help behind the scenes. Benefits: Increases credibility. Shows people you can do anything. Reputation Build a reputation as confident, qualified, and capable. Online presence: Example: LinkedIn profile—professional, up-to-date, connected to network. Be a sponsor/advocate for your company (school, office, etc.). Monthly posts suggested: team photos, events, showing responsibility and trust. Offline reputation: Deliver results better than expected. "Deliver on the things that you said you were gonna do and do a better job than people expected of you." Resilience Not taught from books—learned through experience. Build resilience through preparation, not "fake it till you make it." Preparation includes: practicing presentations, thinking through narratives, blocking time before/after to collect thoughts and connect with people. "Preparation is my headline … that's part of what creates resilience." Mandy turns the question to Robin: "I wanna ask you too, I mean, Robin, you, you live and breathe this every day too. What do you think are the keys to success?" Robin agrees with preparation as key. Value of service work: Suggests working in service (food, hospitality) teaches humility. "I've never met somebody I think even ever in my life who is super entitled and profoundly ungrateful, who has worked a service job for any length of time." Robin's personal experience with service work: First business: selling pumpkins at Robin's Pumpkin Patch (age 5). Key formative experience: running Robin's Cafe (2016, opened with no restaurant experience, on three weeks' notice). Ran the cafe for 3 years, sold it on Craigslist. Served multiple stakeholders: nonprofit, staff (~15 employees), investors ($40,000 raised from family/friends). Trial by fire: unprepared first days—no full menu, no recipes, huge rush events. Concept of MI Plus: "Everything in its place" as preparation principle. Connecting service experience to corporate storytelling: Current business: Zandr Media (videos, corporate storytelling). Preparation is critical: Know who's where, what will be captured, and what the final asset looks like. Limited fixes in post-production, even with AI tools. Reinforces importance of preparation through repeated experience. Advice for future children / young people: Robin would encourage service jobs for kids for months or a year. Teaches: Sleep management, personal presentation, confidence, energy. "Deciding that I'm going to show up professionally … well … energetically." Emphasizes relentless optimism: positivity is a superpower. Experience shows contrast between being prepared and unprepared—learning from both is crucial. 16:36 The Importance of Service Jobs and Resilience Service jobs as formative experience: Worked as a waitress early in her career (teenager). Describes it as "the hardest job of my life". Challenges included: Remembering orders (memory). Constant multitasking. Dealing with different personalities and attitudes. Maintaining positivity and optimism through long shifts (e.g., nine-hour shifts). Fully agrees with Robin: service jobs teach humility and preparation. Optimism as a superpower: "I totally agree too that optimism is a superpower. I think optimism is my superpower." Writes about this concept in her book. Believes everyone has at least one superpower, and successful careers involve identifying and leaning into that superpower. Robin asks about the book Why did Mandy write the book? Inspiration behind the book? Also wants a deep dive into the writing process for her own interest. Mandy's inspiration and purpose of the book Title: "Corporating: Three Ways to Win At Work" Primary goal: Scale mentorship. Realized as she reached VP level, people wanted career advice. Increased visibility through: Position as VP. Connection with alma mater (Indiana University). Active presence on LinkedIn. Result: Many young professionals seeking mentorship. Challenge: Not sustainable to mentor individually. Solution: Writing a book allows her to scale mentorship without minimizing impact. Secondary goals / personal motivations: Acts as a form of "corporate therapy": Reflects on first 10 years of her career. Acknowledges both successes and stumbles. Helps process trials and tribulations. Provides perspective and gratitude for lessons learned. Fun aspect: as a writer, enjoyed formatting and condensing experiences into a digestible form for readers. Legacy and contribution: "I had something that I could contribute meaningfully to the world … as part of my own legacy … I do wanna leave this world feeling like I contributed something positive. So this is one of my marks."   21:37 Writing a Book and Creative Pursuits Robin asks Mandy about the writing process: "What's writing been like for you? Just the, the process of distilling your thinking into something permanent." Mandy: Writing process and finding the "25th hour" Loves writing: "I love writing, so the writing has been first and foremost fun." Where she wrote the book: Mostly from the passenger seat of her car. She's a working mom and didn't have traditional writing time. Advice from mentor Gary Magenta: "Mandy, you're gonna have to find the 25th hour." She found that "25th hour" in her car. Practical examples: During birthday party drop-offs: "Oh good. It's a drop off party. Bye. Bye, honey. See you in two hours. I'll be in the driveway. In my car. If you need anything, please don't need anything." Would write for 1.5–2 hours. During Girl Scouts, swim, any activity. On airplanes: Finished the book on an eight-hour flight back from Germany. It was her 40th birthday (June 28). "Okay, I did it." Realization moment: "You chip away at it enough that you realize, oh, I have a book." Robin: On parents and prioritization Parents told him: "When you have kids, you just find a way." Children create: Stricter prioritization. A necessary forcing function. Mandy's self-reflection: "I believe that I am an inherently lazy person, to be totally honest with you." But she's driven by deadlines and deliverables. Kids eliminate "lazy days": No more slow Saturdays watching Netflix. "They get up. You get up, you have to feed these people like there's a human relying on you." Motherhood forces motivation: "My inherent laziness has been completely wiped away the past nine years." Writing happened in small windows of time. Importance of creative outlet: Having something for yourself fuels the rest of life. Examples: writing, crocheting, quilting, music. Creativity energizes other areas of life. Robin mentions The 4-Hour Workweek by Tim Ferriss. Advice from that book: Have something outside your day job that fuels you. For Robin: Physical practice (gym, handstands, gymnastics, ballet, capoeira, surfing). It's a place to: Celebrate. Feel progress. Win, even if work is struggling. Example: If tickets aren't selling. If newsletter flops. If client relationships are hard. Physical training becomes the "anchor win." Mandy's writing took over two years. Why? She got distracted writing a musical version of the book. There is now: "Corporating: The Book" "Corporating: The Musical" Three songs produced online. Collaboration with composer Eric Chaney. Inspiration from book: Time, Talent, Energy (recommended by former boss Sarah Miran). Concept: we have limited time, talent, and energy. Advice: Follow your energy when possible. If you're flowing creatively, go with it (unless there's an urgent deadline). You'll produce better work. She believes: The book is better because she created the musical. Musical helps during speaking engagements. Sometimes she sings during talks. Why music? Attention spans are short. Not just Gen Z — everyone is distracted. Music keeps people engaged. "I'm not just gonna tell you about the three ways to win at work. I'm gonna sing it for you too." Robin on capturing attention If you can hold attention of: Five-year-olds. Thirteen-year-olds. You can hold anyone's attention. Shares story: In Alabama filming for Department of Education. Interviewed Alabama Teacher of the Year (Katie). She has taught for 20 years (kindergarten through older students). Observed: High enthusiasm. High energy. Willingness to be ridiculous to capture attention. Key insight: Engagement requires energy and presence. 28:37 The Power of Music in Capturing Attention Mandy's part of a group called Mic Drop Workshop. Led by Lindsay (last name unclear in transcript) and Jess Tro. They meet once a month. Each session focuses on improving a different performance skill. The session she describes focused on facial expressions. Exercise they did: Tell a story with monotone voice and no facial expressions. Tell the story "over the top clown like, go really big, something that feels so ridiculous." Tell it the way you normally would. Result: Her group had four people. "Every single one of us liked number two better than one or three." Why version two worked best: When people are emotive and expressive: It's more fun to watch. It's more entertaining. It's more engaging. Connection to kids and storytelling: Think of how you tell stories to five-year-olds: Whisper. Get loud. Get soft. Use dynamic shifts. The same applies on stage. Musical integration: Music is another tool for keeping attention. Helps maintain engagement in a distracted world. Robin: Hiring for energy and presence Talks about hiring his colleague Zach Fish. Technical producer for: Responsive Conference. Snafu Conference. Freelancer Robin works with often. Why Robin hires Zach: Yes, he's technically excellent. But more importantly: "He's a ball of positive energy and delight and super capable and confident, but also just pleasant to be with." Robin's hiring insight: If he has a choice, he chooses Zach. Why? "I feel better." Energy and presence influence hiring decisions. Zach's background: Teaches weekly acrobatics classes for kids in Berkeley. He's used to engaging audiences. That translates into professional presence. Robin: Energy is learnable When thinking about: Who to hire. Who to promote. Who to give opportunities to. Traits that matter: Enthusiasm. Positivity. Big energy. Being "over the top" when needed. Important insight: This isn't necessarily a God-given gift. It can be learned. Like music or performance. Like anything else. 31:00 The Importance of Positive Work Relationships Mandy reflects on: The tension between loud voices and quiet voices. "Oftentimes the person who is the loudest is the one who gets to talk the most, but the person who's the quietest is the one who maybe has the best ideas." Core question: How do you exist in a world where both of those things are true? Parenting lens: One daughter is quieter than the other. Important to: Encourage authenticity. Teach the skill of using your voice loudly when needed. It's not about changing personality. It's about equipping someone to advocate for themselves when necessary Book is targeted at: Students about to enter the corporate world. Early-career professionals. Intentional writing decision: Exactly 100 pages. Purpose: "To the point, practical advice." Holds attention. Digestible. Designed for distracted readers. Emotional honesty: Excited but nervous to reconnect with students. Acknowledges: The world has changed. It's been a while since she was in college. Advice she's trying to live: Know your audience Core principle: "Get to know your audience. Like really get in there and figure out who they are." Pre-book launch tour purpose: Visiting universities (including her alma mater). Observing students. Understanding: Their learning environment. Their day-to-day experiences. The world they're stepping into. Communication principle: Knowing your audience is essential in communications. Also essential in career-building. If you have a vision of where you want to go: "Try to find a way to get there before you're there." Tactics: Meet people in those roles. Shake their hands. Have coffee. Sit in those seats. Walk those halls. See how it feels. Idea: Test the future before committing to it. Reduce uncertainty through proximity. What if you don't have a vision? Robin pushes back thoughtfully: What about people who: Don't know what they want to do? Aren't sure about staying at a company? Aren't sure about career vs. business vs. stay-at-home parent? Acknowledges: There's abundance in the world. Attention is fragmented. Implied tension: How do you move forward without clarity? 35:13 Mentorship and Career Guidance How to help someone figure out what's next Start with questions, not answers A mentor's primary job: ask questions from a place of curiosity Especially when someone is struggling with what they want to do or their career direction Key questions: What brings you joy? What gives you energy? What's the dream? Imagine retirement — what does that look like? Example: A financial advisor made Mandy and her husband define retirement vision; then work backwards (condo in New Zealand, annual family vacations) Clarify what actually matters Distinguish life priorities: Security → corporate job; Teamwork → corporate environment; Variety and daily interaction → specific roles Mentoring becomes a checklist: Joy, strengths, lifestyle, financial expectations, work environment preferences Then make connections: Introduce them to people in relevant environments, encourage informational interviews You don't know what you don't know Trial and error is inevitable Build network intentionally: Shadow people, observe, talk to parents' friends, friends of friends Even experienced professionals have untapped opportunities Stay curious and do the legwork Mixing personal and professional identity Confidence to bring personal interests into corporate work comes from strategy plus luck Example: Prologis 2021, senior leaders joked about forming a band; Mandy spoke up, became lead singer CEO took interest after first performance, supported book launch She didn't always feel this way Early corporate years: Feel like a "corporate robot," worrying about jargon, meetings, email etiquette, blending in Book explores blending in while standing out Advice for bringing full self to work Don't hide it, but don't force it; weave into casual conversation Find advocates: Amazing bosses vs terrible ones, learn from both Mentorship shaped her framework: Relationships, reputation, and resilience Resilience and rejection Theater as rejection bootcamp: Auditions, constant rejection Foundations of resilience: Surround yourself with supportive people, develop intrinsic self-worth, know you are worthy Creating conditions for success Age 11 audition story: Last-minute opportunity, director asked her to sing, she sang and got the part Why it worked: Connections (aunt in play), parent support, director willing to take a chance, she showed up Resilience is not just toughing it out: Have support systems, build self-worth, seek opportunity, create favorable conditions, step forward when luck opens a door 44:18 Overcoming Rejection and Building Resilience First show experiences Robin's first stage production is uncertain; she had to think carefully At 17, walked into a gymnastics gym after being a cross country runner for ten years, burnt out from running Cold-called gyms from the Yellow Pages; most rejected her for adult classes, one offered adult classes twice a week That led to juggling, circus, fencing, capa, rock climbing — a "Cambrian explosion" of movement opportunities About a year and a half later, walked into a ballet studio in corduroy and a button-up, no ballet shoes; first ballet teacher was Eric Skinner at Reed College, surrounded by former professional ballerinas First internal college production was his first show; ten years later performed as an acrobat with the San Francisco Opera in 2013, six acrobats among 200 people on stage, four-hour shows with multiple costume changes and backflips Relationship to AI and the evolving world of work Mandy never asks her daughters "What do you want to be?" because jobs today may not exist in the future Focus on interests: plants, how things are built, areas of curiosity for future generations Coaching her team: Highly capable, competent, invested in tools and technology for digital signage, webinars, emails, data-driven insights, videos Approach AI with cautious optimism: Adopt early, embrace technology, use it to enhance work rather than replace it Example: Uses a bot for scheduling efficiency, brainstorming; enhances job performance by integrating AI from day one Advice: Approach AI with curiosity, not fear; embrace tools to be smarter and more efficient, stay ahead in careers 53:05 Where to Find Mandy Mandy will be speaking at Snafu Conference on March 5, discussing rejection and overcoming it. Author and speaking information: mandymooney.com LinkedIn: Mandy Mooney Music available under her real name, Mandy Mooney, on streaming platforms.  

Staatsschulden sind nicht per se schlecht – entscheidend ist, wofür sie eingesetzt werden. Aber wofür darf der Staat Schulden machen und wofür nicht? Ist das Ende von Sparzwang und schwarzer Null ein Freibrief für Staatsschulden? Können Staatsschulden nicht positiv wirken? Kann der Staat überhaupt ohne Schulden auskommen? Darüber hat Daniel Stelter im April 2022 in Folge 132 mit dem Titel Gefährlicher (Aus)Weg mit dem amerikanischen Wirtschaftswissenschaftler Barry Eichengreen von der University of California in Berkeley gesprochen. Eichengreen ist einer der Autoren des Buches “In Defense of Public Debt” (dt. “Zur Verteidigung von Staatsschulden”). Der Ökonom ordnete historisch ein, wann und warum Staatsschulden Wachstum und Stabilität fördern können – und wo ihre Grenzen liegen. Er erklärte, weshalb Schulden in der Vergangenheit oft produktiv eingesetzt wurden, warum dies heute zunehmend schwieriger wird und welche Risiken entstehen, wenn steigende Verschuldung nicht mit Investitionen in Produktivität und Zukunftsfähigkeit einhergeht. In Zeiten explodierender Defizite und nachlassender Zukunftsinvestitionen gewinnt dieses Gespräch neue Aktualität. Zeit für ein bto REFRESH!Hörerservicebeyond the obviousNeue Analysen, Kommentare und Einschätzungen zur Wirtschafts- und Finanzlage finden Sie unter think-bto.com.NewsletterDen monatlichen bto-Newsletter abonnieren Sie hier.RedaktionskontaktWir freuen uns über Ihre Meinungen, Anregungen und Kritik unter podcast@think-bto.com.Handelsblatt – 2026 beginnt rasant. Umso wichtiger ist fundiertes Wissen. Wenn Sie das ganze Jahr über gut informiert sein wollen, haben wir ein besonderes Angebot für Sie: 40 Prozent Rabatt auf ein Handelsblatt-Jahresabo – gedruckt oder digital. Ab 4,79 € pro Woche erhalten Sie klare Fakten, exklusive Hintergründe, starke Meinungen und wertvolle Impulse – damit Sie wirtschaftliche Entwicklungen noch besser einordnen können.Sichern Sie sich den Rabatt bis zum 23.2.2026 unter ⁠handelsblatt.com/wissen2026.WerbepartnerInformationen zu den Angeboten unserer aktuellen Werbepartner finden Sie hier. Hosted on Acast. See acast.com/privacy for more information.

A Traditionalist Perspective on Gnosticism with Charles Upton Charles Upton’s first books of poetry were published in 1968 and 1969 by Lawrence Ferlinghetti of City Light Books in San Francisco. He was then considered the youngest member of the “beat generation” as he was still in high school. He has subsequently written many books associated with the traditionalist school of spirituality including What Poets Used to Know, The Science of the Greater Jihad, Folk Metaphysics, Alien Disclosure Deception: The Metaphysics of Social Engineering, Day and Night on the Sufi Path, Dugin Against Dugin: A Traditionalist Critique of the Fourth Political Theory, The System of the Antichrist, and Vectors of the Counter-Initiation. His most recent book of poetry is The Wars of Love and Other Poems. Charles Upton offers a traditionalist critique of Gnosticism, examining its metaphysical assumptions about evil, transcendence, and the nature of the cosmos. Charles explores why Gnostic ideas resonate so strongly in modern culture, particularly feelings of alienation, simulation, and entrapment in an unjust world. From a traditionalist standpoint, Upton reframes Gnosticism as a symbolic diagnosis of ego and spiritual imbalance rather than a literal account of reality. 00:00:01 Introduction: a traditionalist view of Gnosticism 00:04:38 What traditionalism means and where it came from 00:07:58 The primordial tradition and unity of religions 00:15:30 Why Gnosticism is considered heresy 00:17:44 The Gnostic idea of a false universe 00:20:39 The Demiurge reinterpreted as the ego 00:22:31 Four Archons as spiritual distortions 00:30:18 Law, selfhood, chaos, and fate explained 00:39:28 How the Archons reinforce each other 00:59:06 Conclusion New Thinking Allowed host, Jeffrey Mishlove, PhD, is author of The Roots of Consciousness, Psi Development Systems, and The PK Man. Between 1986 and 2002 he hosted and co-produced the original Thinking Allowed public television series. He is the recipient of the only doctoral diploma in “parapsychology” ever awarded by an accredited university (University of California, Berkeley, 1980). He is also the Grand Prize winner of the 2021 Bigelow Institute essay competition regarding the best evidence for survival of human consciousness after permanent bodily death. He is Co-Director of Parapsychology Education at the California Institute for Human Science. (Recorded on January 29, 2025) For a short video on How to Get the Most From New Thinking Allowed, go to https://youtu.be/aVbfPFGxv9o For a complete, updated list with links to all of our videos, see https://newthinkingallowed.com/Listings.htm. Check out the New Thinking Allowed Foundation website at http://www.newthinkingallowed.org. There you will find our incredible, searchable database as well as opportunities to shop and to support our video productions – plus, this is where people can subscribe to our FREE, weekly Newsletter and can download a FREE .pdf copy of our quarterly magazine. To order high-quality, printed copies of our quarterly magazine: NTA-Magazine.MagCloud.com Check out New Thinking Allowed’s AI chatbot. You can create a free account at awakin.ai/open/jeffreymishlove. When you enter the space, you will see that our chatbot is one of several you can interact with. While it is still a work in progress, it has been trained on 1,600 NTA transcripts. It can provide intelligent answers about the contents of our interviews. It’s almost like having a conversation with Jeffrey Mishlove. His website is https://glennaparicioparry.com/ If you would like to join our team of volunteers, helping to promote the New Thinking Allowed YouTube channel on social media, editing and translating videos, creating short video trailers based on our interviews, helping to upgrade our website, or contributing in other ways (we may not even have thought of), please send an email to friends@newthinkingallowed.com. To join the NTA Psi Experience Community on Facebook, see https://www.facebook.com/groups/1953031791426543/ To download and listen to audio versions of the New Thinking Allowed videos, please visit our new podcast at https://itunes.apple.com/us/podcast/new-thinking-allowed-audio-podcast/id1435178031. Download and read Jeffrey Mishlove’s Grand Prize essay in the Bigelow Institute competition, Beyond the Brain: The Survival of Human Consciousness After Permanent Bodily Death, go to https://www.bigelowinstitute.org/docs/1st.pdf. You can help support our video productions while enjoying a good book. To order a copy of New Thinking Allowed Dialogues: Is There Life After Death? click on https://amzn.to/3LzLA7Y (As an Amazon Associate we earn from qualifying purchases.) To order Russell Targ: Ninety Years of ESP, Remote Viewing, and Timeless Awareness, go to https://amzn.to/4aw2iyr To order a copy of New Thinking Allowed Dialogues: UFOs and UAP – Are We Really Alone?, go to https://amzn.to/3Y0VOVh

Today we hear instruments from all over the world from a little shop in Berkeley. Then, why Oakland's police remain under federal oversight after more than two decades. And, a man in prison shares how he found refuge in a church.

If you have ever walked into Lark in the Morning you might have heard the Sound of Danboo... The store is a combination museum for rare, international instruments, a repair shop, and a brick and mortar retail store. It also serves as a hub for lessons in everything from banjo to the sitar to the hurdygurdy.After working in tech, the current owner bought Lark in the Morning, and continues the legacy of a beloved world music instrument store. KALW's Rachel Longan has this profile.

durée : 00:41:07 - L'Invité(e) des Matins - par : Guillaume Erner, Yoann Duval - Au-delà du scandale politique, l'affaire Epstein révèle les structures du pouvoir patriarcal. Sur les réseaux sociaux, l'antisémitisme explose. Comment expliquer ce basculement ? Pourquoi les victimes restent-elles invisibilisées ? La philosophe américaine Judith Butler nous livre son analyse. - réalisation : Félicie Faugère - invités : Judith Butler Philosophe et professeure à la Graduate School de l'Université de Californie, Berkeley

This Monday February 9th on KPFA Radio's Women's Magazine Kate Raphael talks with Arlene Eisen about her new memoir In the Worldwide Family of Militant Women. Arlene has been a militant in the struggle against imperialism and white supremacy since the 1960s—first as a protester facing tear gas and later as a teacher and writer. She edited the newspaper called The Movement, and was a leading voice in the anti-imperialist women's movement of the 1970s. At various times as she raised her two sons mostly as a single parent, she was a lecturer in sociology and women's studies, a machinist, a journalist and public health expert. During the first ten years of her children's lives, she was on welfare. In 2012 Arlene Eisen authored the groundbreaking study, Operation Ghetto Storm, published by the Malcolm X Grassroots Movement, which revealed that an unarmed Black person is killed by an agent of the state every 28 hours in the united states. In the Worldwide Family of Militant Women traces Arlene's journey from New York to Berkeley to Vietnam, China, Cuba, and back to San Francisco. She narrates her deep involvement in the Black Freedom struggle, the sixties counterculture, the movements to stop the Vietnam War, to support anti-imperialist struggles from Iran to Puerto Rico people, and the growing importance of feminism in helping her make sense of her own life. In the Worldwide Family of Militant Women is available from Iskra Books. And in the second half of the show Lisa Dettmer talks to composer and Musician Adrienne Torf. Adrienne Torf and her collaborator Raymond O Caldwell have produced an intimate portrait of well known local legendary black feminist and activist scholar, teacher and poet June Jordan by combining her words of fierce commitment to justice and self determination for all people with music and movement. The show, “Poetry for the People: The June Jordan Experience” is being performed in Berkeley for one night only on February 24th at the Freight and Salvage. This show is performed by six actors from the Fountain Theatre, Los Angeles production and Jordan's collaborator and partner, composer/pianist Adrienne Torf. the show features Jordan's poetry, interviews, and other writing, along with her work set to music by Torf, John Adams, and Bernice Johnson Reagon. “Poetry for the People: The June Jordan Experience” was honored with the Theater Washington Helen Hayes Charles MacArthur Award for Outstanding New Play in 2023. This performance on Tuesday February 24th at the Freight and Salvage will be the only one outside of Los Angeles this year. *Premium tickets include admission to a post-show reception with the cast and sponsors. The post Arlene Eisen memoir on Militant Women and Adrienne Torf on June Jordan show appeared first on KPFA.

Wise Men Build Pastor Lisa 02/08/26

Take Our FREE Quiz To Create A Relationship Where You Feel Safe, Chosen & Cherished Without Loneliness, Hot-And-Cold Men Or Ending Up Alone Click: http://MagnetizeYourMan.com/PDSUBSCRIBE FOR GOOD LUCK IN LOVE!Follow Us On Instagram: https://Instagram.com/MagnetizeYourManFollow Us On TikTok: https://TikTok.com/@MagnetizeYourMan Subscribe To Our Podcast: https://MagnetizeYourMan.buzzsprout.com/shareFollow Us On Facebook: https://Facebook.com/MagnetizeYourManFollow Us On X: https://Twitter.com/MagnetizeMenFollow Us On Threads: https://Threads.net/@MagnetizeYourManCheck Out Our Blog: https://MagnetizeYourMan.com/Blog~ Your Expert Love Coaches, Brody & Antia Boyd ~Husband and wife team Antia & Brody Boyd have been helping thousands of successful women all over the world for over 20 years combined to magnetize their man to share their life with & have a loving, long-term & committed relationship ASAP without loneliness, trust-issues or emotionally unavailable men.Antia studied Attachment Styles & Personality Psychology at U.C. Berkeley, Brody has a degree in Communications & Interpersonal Relationships and they have been keynote speakers on hundreds of stages, radio & TV shows all over the world including Google, the Harvard University Faculty Club and Good Morning San Diego.They have also been featured on ABC Radio, Brides Magazine & The Great Love Debate and for over a decade studied EVERYTHING they could get their hands on in the areas of male psychology, feminine communication & creating an incredible relationship fast without low-confidence, anxiety or rejection.They look forward to helping YOU to attract your man for a happy, healthy and supportive relationship the easy way and becoming one of their newest success stories soon as well! Check Out Antia's Full Love Story: https://MagnetizeYourMan.com/AboutAntia~ Incredible Client Love Stories & Reviews! ~“My man and I are very happy as we are exploring and enjoy our new life together. Our coaching together was very helpful in my ability to stay centered in the reality of a true intimate loving relationship unfolding. It has also helped me in nurturing it too. Thanks so much for your support!” -A. G.“One year since the day my fiancé and I met is just around the corner, and we are now married! We are in love and don't want to live life without one another. I have lived with him for 6 months and have been the happiest I have ever been in my life. Thank you so much for the coaching… I will check in very soon. Lots of love!” -L. W."My guy is so easy to love and be with. It's a treat to share time with him. He now makes me feel so special in his ways. He isn't afraid to be himself with me... the best compliment. LOVE the program, and now I'm learning how to be in a healthy relationship!" ~F. W."I just wanted to let you know that I met a really great guy.  He has done a lot of personal work and we are enjoying really good communication. I just wanted to thank you for the help and suggestions that you gave me. I am optimistic!!" -D. K.More Love Stories & Reviews: https://MagnetizeYourMan.com/Reviews#Relationships #Dating #RelationshipAdvice #DatingTips #RelationshipTips #DatingAdviceSupport the show

Part of the Festival of Sacred Music Series at Commonweal New School Michelle's music weaves the sacred and the soulful, drawing from traditions, rhythms, and ancestral memory of the African diaspora. Her love of the music connects her to something much larger than herself—community, history, and spirituality—which allows her to channel that energy into spaces of joy. Expect a powerful, heart-opening experience filled with hope and a deep sense of connection that stays with you long after the final note. Join us for the next in our series of sacred music celebrations at Commonweal, presented in collaboration with long-time Commonweal friend Toby Symington, executive director of the Lloyd Symington Foundation and transpersonal astrologer. Held at the solstice and equinox, the concerts—and gatherings afterward—are designed to bring people together in a convivial setting around music which delights, inspires, and elevates the soul. Come for the music—stay for the food and community. *** Find out more about Commonweal New School on our website: tns.commonweal.org. And like/follow our Soundcloud channel for more great podcasts.

From Palantir and Two Sigma to building Goodfire into the poster-child for actionable mechanistic interpretability, Mark Bissell (Member of Technical Staff) and Myra Deng (Head of Product) are trying to turn “peeking inside the model” into a repeatable production workflow by shipping APIs, landing real enterprise deployments, and now scaling the bet with a recent $150M Series B funding round at a $1.25B valuation.In this episode, we go far beyond the usual “SAEs are cool” take. We talk about Goodfire's core bet: that the AI lifecycle is still fundamentally broken because the only reliable control we have is data and we post-train, RLHF, and fine-tune by “slurping supervision through a straw,” hoping the model picks up the right behaviors while quietly absorbing the wrong ones. Goodfire's answer is to build a bi-directional interface between humans and models: read what's happening inside, edit it surgically, and eventually use interpretability during training so customization isn't just brute-force guesswork.Mark and Myra walk through what that looks like when you stop treating interpretability like a lab demo and start treating it like infrastructure: lightweight probes that add near-zero latency, token-level safety filters that can run at inference time, and interpretability workflows that survive messy constraints (multilingual inputs, synthetic→real transfer, regulated domains, no access to sensitive data). We also get a live window into what “frontier-scale interp” means operationally (i.e. steering a trillion-parameter model in real time by targeting internal features) plus why the same tooling generalizes cleanly from language models to genomics, medical imaging, and “pixel-space” world models.We discuss:* Myra + Mark's path: Palantir (health systems, forward-deployed engineering) → Goodfire early team; Two Sigma → Head of Product, translating frontier interpretability research into a platform and real-world deployments* What “interpretability” actually means in practice: not just post-hoc poking, but a broader “science of deep learning” approach across the full AI lifecycle (data curation → post-training → internal representations → model design)* Why post-training is the first big wedge: “surgical edits” for unintended behaviors likereward hacking, sycophancy, noise learned during customization plus the dream of targeted unlearning and bias removal without wrecking capabilities* SAEs vs probes in the real world: why SAE feature spaces sometimes underperform classifiers trained on raw activations for downstream detection tasks (hallucination, harmful intent, PII), and what that implies about “clean concept spaces”* Rakuten in production: deploying interpretability-based token-level PII detection at inference time to prevent routing private data to downstream providers plus the gnarly constraints: no training on real customer PII, synthetic→real transfer, English + Japanese, and tokenization quirks* Why interp can be operationally cheaper than LLM-judge guardrails: probes are lightweight, low-latency, and don't require hosting a second large model in the loop* Real-time steering at frontier scale: a demo of steering Kimi K2 (~1T params) live and finding features via SAE pipelines, auto-labeling via LLMs, and toggling a “Gen-Z slang” feature across multiple layers without breaking tool use* Hallucinations as an internal signal: the case that models have latent uncertainty / “user-pleasing” circuitry you can detect and potentially mitigate more directly than black-box methods* Steering vs prompting: the emerging view that activation steering and in-context learning are more closely connected than people think, including work mapping between the two (even for jailbreak-style behaviors)* Interpretability for science: using the same tooling across domains (genomics, medical imaging, materials) to debug spurious correlations and extract new knowledge up to and including early biomarker discovery work with major partners* World models + “pixel-space” interpretability: why vision/video models make concepts easier to see, how that accelerates the feedback loop, and why robotics/world-model partners are especially interesting design partners* The north star: moving from “data in, weights out” to intentional model design where experts can impart goals and constraints directly, not just via reward signals and brute-force post-training—Goodfire AI* Website: https://goodfire.ai* LinkedIn: https://www.linkedin.com/company/goodfire-ai/* X: https://x.com/GoodfireAIMyra Deng* Website: https://myradeng.com/* LinkedIn: https://www.linkedin.com/in/myra-deng/* X: https://x.com/myra_dengMark Bissell* LinkedIn: https://www.linkedin.com/in/mark-bissell/* X: https://x.com/MarkMBissellFull Video EpisodeTimestamps00:00:00 Introduction00:00:05 Introduction to the Latent Space Podcast and Guests from Goodfire00:00:29 What is Goodfire? Mission and Focus on Interpretability00:01:01 Goodfire's Practical Approach to Interpretability00:01:37 Goodfire's Series B Fundraise Announcement00:02:04 Backgrounds of Mark and Myra from Goodfire00:02:51 Team Structure and Roles at Goodfire00:05:13 What is Interpretability? Definitions and Techniques00:05:30 Understanding Errors00:07:29 Post-training vs. Pre-training Interpretability Applications00:08:51 Using Interpretability to Remove Unwanted Behaviors00:10:09 Grokking, Double Descent, and Generalization in Models00:10:15 404 Not Found Explained00:12:06 Subliminal Learning and Hidden Biases in Models00:14:07 How Goodfire Chooses Research Directions and Projects00:15:00 Troubleshooting Errors00:16:04 Limitations of SAEs and Probes in Interpretability00:18:14 Rakuten Case Study: Production Deployment of Interpretability00:20:45 Conclusion00:21:12 Efficiency Benefits of Interpretability Techniques00:21:26 Live Demo: Real-Time Steering in a Trillion Parameter Model00:25:15 How Steering Features are Identified and Labeled00:26:51 Detecting and Mitigating Hallucinations Using Interpretability00:31:20 Equivalence of Activation Steering and Prompting00:34:06 Comparing Steering with Fine-Tuning and LoRA Techniques00:36:04 Model Design and the Future of Intentional AI Development00:38:09 Getting Started in Mechinterp: Resources, Programs, and Open Problems00:40:51 Industry Applications and the Rise of Mechinterp in Practice00:41:39 Interpretability for Code Models and Real-World Usage00:43:07 Making Steering Useful for More Than Stylistic Edits00:46:17 Applying Interpretability to Healthcare and Scientific Discovery00:49:15 Why Interpretability is Crucial in High-Stakes Domains like Healthcare00:52:03 Call for Design Partners Across Domains00:54:18 Interest in World Models and Visual Interpretability00:57:22 Sci-Fi Inspiration: Ted Chiang and Interpretability01:00:14 Interpretability, Safety, and Alignment Perspectives01:04:27 Weak-to-Strong Generalization and Future Alignment Challenges01:05:38 Final Thoughts and Hiring/Collaboration Opportunities at GoodfireTranscriptShawn Wang [00:00:05]: So welcome to the Latent Space pod. We're back in the studio with our special MechInterp co-host, Vibhu. Welcome. Mochi, Mochi's special co-host. And Mochi, the mechanistic interpretability doggo. We have with us Mark and Myra from Goodfire. Welcome. Thanks for having us on. Maybe we can sort of introduce Goodfire and then introduce you guys. How do you introduce Goodfire today?Myra Deng [00:00:29]: Yeah, it's a great question. So Goodfire, we like to say, is an AI research lab that focuses on using interpretability to understand, learn from, and design AI models. And we really believe that interpretability will unlock the new generation, next frontier of safe and powerful AI models. That's our description right now, and I'm excited to dive more into the work we're doing to make that happen.Shawn Wang [00:00:55]: Yeah. And there's always like the official description. Is there an understatement? Is there an unofficial one that sort of resonates more with a different audience?Mark Bissell [00:01:01]: Well, being an AI research lab that's focused on interpretability, there's obviously a lot of people have a lot that they think about when they think of interpretability. And I think we have a pretty broad definition of what that means and the types of places that can be applied. And in particular, applying it in production scenarios, in high stakes industries, and really taking it sort of from the research world into the real world. Which, you know. It's a new field, so that hasn't been done all that much. And we're excited about actually seeing that sort of put into practice.Shawn Wang [00:01:37]: Yeah, I would say it wasn't too long ago that Anthopic was like still putting out like toy models or superposition and that kind of stuff. And I wouldn't have pegged it to be this far along. When you and I talked at NeurIPS, you were talking a little bit about your production use cases and your customers. And then not to bury the lead, today we're also announcing the fundraise, your Series B. $150 million. $150 million at a 1.25B valuation. Congrats, Unicorn.Mark Bissell [00:02:02]: Thank you. Yeah, no, things move fast.Shawn Wang [00:02:04]: We were talking to you in December and already some big updates since then. Let's dive, I guess, into a bit of your backgrounds as well. Mark, you were at Palantir working on health stuff, which is really interesting because the Goodfire has some interesting like health use cases. I don't know how related they are in practice.Mark Bissell [00:02:22]: Yeah, not super related, but I don't know. It was helpful context to know what it's like. Just to work. Just to work with health systems and generally in that domain. Yeah.Shawn Wang [00:02:32]: And Mara, you were at Two Sigma, which actually I was also at Two Sigma back in the day. Wow, nice.Myra Deng [00:02:37]: Did we overlap at all?Shawn Wang [00:02:38]: No, this is when I was briefly a software engineer before I became a sort of developer relations person. And now you're head of product. What are your sort of respective roles, just to introduce people to like what all gets done in Goodfire?Mark Bissell [00:02:51]: Yeah, prior to Goodfire, I was at Palantir for about three years as a forward deployed engineer, now a hot term. Wasn't always that way. And as a technical lead on the health care team and at Goodfire, I'm a member of the technical staff. And honestly, that I think is about as specific as like as as I could describe myself because I've worked on a range of things. And, you know, it's it's a fun time to be at a team that's still reasonably small. I think when I joined one of the first like ten employees, now we're above 40, but still, it looks like there's always a mix of research and engineering and product and all of the above. That needs to get done. And I think everyone across the team is, you know, pretty, pretty switch hitter in the roles they do. So I think you've seen some of the stuff that I worked on related to image models, which was sort of like a research demo. More recently, I've been working on our scientific discovery team with some of our life sciences partners, but then also building out our core platform for more of like flexing some of the kind of MLE and developer skills as well.Shawn Wang [00:03:53]: Very generalist. And you also had like a very like a founding engineer type role.Myra Deng [00:03:58]: Yeah, yeah.Shawn Wang [00:03:59]: So I also started as I still am a member of technical staff, did a wide range of things from the very beginning, including like finding our office space and all of this, which is we both we both visited when you had that open house thing. It was really nice.Myra Deng [00:04:13]: Thank you. Thank you. Yeah. Plug to come visit our office.Shawn Wang [00:04:15]: It looked like it was like 200 people. It has room for 200 people. But you guys are like 10.Myra Deng [00:04:22]: For a while, it was very empty. But yeah, like like Mark, I spend. A lot of my time as as head of product, I think product is a bit of a weird role these days, but a lot of it is thinking about how do we take our frontier research and really apply it to the most important real world problems and how does that then translate into a platform that's repeatable or a product and working across, you know, the engineering and research teams to make that happen and also communicating to the world? Like, what is interpretability? What is it used for? What is it good for? Why is it so important? All of these things are part of my day-to-day as well.Shawn Wang [00:05:01]: I love like what is things because that's a very crisp like starting point for people like coming to a field. They all do a fun thing. Vibhu, why don't you want to try tackling what is interpretability and then they can correct us.Vibhu Sapra [00:05:13]: Okay, great. So I think like one, just to kick off, it's a very interesting role to be head of product, right? Because you guys, at least as a lab, you're more of an applied interp lab, right? Which is pretty different than just normal interp, like a lot of background research. But yeah. You guys actually ship an API to try these things. You have Ember, you have products around it, which not many do. Okay. What is interp? So basically you're trying to have an understanding of what's going on in model, like in the model, in the internal. So different approaches to do that. You can do probing, SAEs, transcoders, all this stuff. But basically you have an, you have a hypothesis. You have something that you want to learn about what's happening in a model internals. And then you're trying to solve that from there. You can do stuff like you can, you know, you can do activation mapping. You can try to do steering. There's a lot of stuff that you can do, but the key question is, you know, from input to output, we want to have a better understanding of what's happening and, you know, how can we, how can we adjust what's happening on the model internals? How'd I do?Mark Bissell [00:06:12]: That was really good. I think that was great. I think it's also a, it's kind of a minefield of a, if you ask 50 people who quote unquote work in interp, like what is interpretability, you'll probably get 50 different answers. And. Yeah. To some extent also like where, where good fire sits in the space. I think that we're an AI research company above all else. And interpretability is a, is a set of methods that we think are really useful and worth kind of specializing in, in order to accomplish the goals we want to accomplish. But I think we also sort of see some of the goals as even more broader as, as almost like the science of deep learning and just taking a not black box approach to kind of any part of the like AI development life cycle, whether that. That means using interp for like data curation while you're training your model or for understanding what happened during post-training or for the, you know, understanding activations and sort of internal representations, what is in there semantically. And then a lot of sort of exciting updates that were, you know, are sort of also part of the, the fundraise around bringing interpretability to training, which I don't think has been done all that much before. A lot of this stuff is sort of post-talk poking at models as opposed to. To actually using this to intentionally design them.Shawn Wang [00:07:29]: Is this post-training or pre-training or is that not a useful.Myra Deng [00:07:33]: Currently focused on post-training, but there's no reason the techniques wouldn't also work in pre-training.Shawn Wang [00:07:38]: Yeah. It seems like it would be more active, applicable post-training because basically I'm thinking like rollouts or like, you know, having different variations of a model that you can tweak with the, with your steering. Yeah.Myra Deng [00:07:50]: And I think in a lot of the news that you've seen in, in, on like Twitter or whatever, you've seen a lot of unintended. Side effects come out of post-training processes, you know, overly sycophantic models or models that exhibit strange reward hacking behavior. I think these are like extreme examples. There's also, you know, very, uh, mundane, more mundane, like enterprise use cases where, you know, they try to customize or post-train a model to do something and it learns some noise or it doesn't appropriately learn the target task. And a big question that we've always had is like, how do you use your understanding of what the model knows and what it's doing to actually guide the learning process?Shawn Wang [00:08:26]: Yeah, I mean, uh, you know, just to anchor this for people, uh, one of the biggest controversies of last year was 4.0 GlazeGate. I've never heard of GlazeGate. I didn't know that was what it was called. The other one, they called it that on the blog post and I was like, well, how did OpenAI call it? Like officially use that term. And I'm like, that's funny, but like, yeah, I guess it's the pitch that if they had worked a good fire, they wouldn't have avoided it. Like, you know what I'm saying?Myra Deng [00:08:51]: I think so. Yeah. Yeah.Mark Bissell [00:08:53]: I think that's certainly one of the use cases. I think. Yeah. Yeah. I think the reason why post-training is a place where this makes a lot of sense is a lot of what we're talking about is surgical edits. You know, you want to be able to have expert feedback, very surgically change how your model is doing, whether that is, you know, removing a certain behavior that it has. So, you know, one of the things that we've been looking at or is, is another like common area where you would want to make a somewhat surgical edit is some of the models that have say political bias. Like you look at Quen or, um, R1 and they have sort of like this CCP bias.Shawn Wang [00:09:27]: Is there a CCP vector?Mark Bissell [00:09:29]: Well, there's, there are certainly internal, yeah. Parts of the representation space where you can sort of see where that lives. Yeah. Um, and you want to kind of, you know, extract that piece out.Shawn Wang [00:09:40]: Well, I always say, you know, whenever you find a vector, a fun exercise is just like, make it very negative to see what the opposite of CCP is.Mark Bissell [00:09:47]: The super America, bald eagles flying everywhere. But yeah. So in general, like lots of post-training tasks where you'd want to be able to, to do that. Whether it's unlearning a certain behavior or, you know, some of the other kind of cases where this comes up is, are you familiar with like the, the grokking behavior? I mean, I know the machine learning term of grokking.Shawn Wang [00:10:09]: Yeah.Mark Bissell [00:10:09]: Sort of this like double descent idea of, of having a model that is able to learn a generalizing, a generalizing solution, as opposed to even if memorization of some task would suffice, you want it to learn the more general way of doing a thing. And so, you know, another. A way that you can think about having surgical access to a model's internals would be learn from this data, but learn in the right way. If there are many possible, you know, ways to, to do that. Can make interp solve the double descent problem?Shawn Wang [00:10:41]: Depends, I guess, on how you. Okay. So I, I, I viewed that double descent as a problem because then you're like, well, if the loss curves level out, then you're done, but maybe you're not done. Right. Right. But like, if you actually can interpret what is a generalizing or what you're doing. What is, what is still changing, even though the loss is not changing, then maybe you, you can actually not view it as a double descent problem. And actually you're just sort of translating the space in which you view loss and like, and then you have a smooth curve. Yeah.Mark Bissell [00:11:11]: I think that's certainly like the domain of, of problems that we're, that we're looking to get.Shawn Wang [00:11:15]: Yeah. To me, like double descent is like the biggest thing to like ML research where like, if you believe in scaling, then you don't need, you need to know where to scale. And. But if you believe in double descent, then you don't, you don't believe in anything where like anything levels off, like.Vibhu Sapra [00:11:30]: I mean, also tendentially there's like, okay, when you talk about the China vector, right. There's the subliminal learning work. It was from the anthropic fellows program where basically you can have hidden biases in a model. And as you distill down or, you know, as you train on distilled data, those biases always show up, even if like you explicitly try to not train on them. So, you know, it's just like another use case of. Okay. If we can interpret what's happening in post-training, you know, can we clear some of this? Can we even determine what's there? Because yeah, it's just like some worrying research that's out there that shows, you know, we really don't know what's going on.Mark Bissell [00:12:06]: That is. Yeah. I think that's the biggest sentiment that we're sort of hoping to tackle. Nobody knows what's going on. Right. Like subliminal learning is just an insane concept when you think about it. Right. Train a model on not even the logits, literally the output text of a bunch of random numbers. And now your model loves owls. And you see behaviors like that, that are just, they defy, they defy intuition. And, and there are mathematical explanations that you can get into, but. I mean.Shawn Wang [00:12:34]: It feels so early days. Objectively, there are a sequence of numbers that are more owl-like than others. There, there should be.Mark Bissell [00:12:40]: According to, according to certain models. Right. It's interesting. I think it only applies to models that were initialized from the same starting Z. Usually, yes.Shawn Wang [00:12:49]: But I mean, I think that's a, that's a cheat code because there's not enough compute. But like if you believe in like platonic representation, like probably it will transfer across different models as well. Oh, you think so?Mark Bissell [00:13:00]: I think of it more as a statistical artifact of models initialized from the same seed sort of. There's something that is like path dependent from that seed that might cause certain overlaps in the latent space and then sort of doing this distillation. Yeah. Like it pushes it towards having certain other tendencies.Vibhu Sapra [00:13:24]: Got it. I think there's like a bunch of these open-ended questions, right? Like you can't train in new stuff during the RL phase, right? RL only reorganizes weights and you can only do stuff that's somewhat there in your base model. You're not learning new stuff. You're just reordering chains and stuff. But okay. My broader question is when you guys work at an interp lab, how do you decide what to work on and what's kind of the thought process? Right. Because we can ramble for hours. Okay. I want to know this. I want to know that. But like, how do you concretely like, you know, what's the workflow? Okay. There's like approaches towards solving a problem, right? I can try prompting. I can look at chain of thought. I can train probes, SAEs. But how do you determine, you know, like, okay, is this going anywhere? Like, do we have set stuff? Just, you know, if you can help me with all that. Yeah.Myra Deng [00:14:07]: It's a really good question. I feel like we've always at the very beginning of the company thought about like, let's go and try to learn what isn't working in machine learning today. Whether that's talking to customers or talking to researchers at other labs, trying to understand both where the frontier is going and where things are really not falling apart today. And then developing a perspective on how we can push the frontier using interpretability methods. And so, you know, even our chief scientist, Tom, spends a lot of time talking to customers and trying to understand what real world problems are and then taking that back and trying to apply the current state of the art to those problems and then seeing where they fall down basically. And then using those failures or those shortcomings to understand what hills to climb when it comes to interpretability research. So like on the fundamental side, for instance, when we have done some work applying SAEs and probes, we've encountered, you know, some shortcomings in SAEs that we found a little bit surprising. And so have gone back to the drawing board and done work on that. And then, you know, we've done some work on better foundational interpreter models. And a lot of our team's research is focused on what is the next evolution beyond SAEs, for instance. And then when it comes to like control and design of models, you know, we tried steering with our first API and realized that it still fell short of black box techniques like prompting or fine tuning. And so went back to the drawing board and we're like, how do we make that not the case and how do we improve it beyond that? And one of our researchers, Ekdeep, who just joined is actually Ekdeep and Atticus are like steering experts and have spent a lot of time trying to figure out like, what is the research that enables us to actually do this in a much more powerful, robust way? So yeah, the answer is like, look at real world problems, try to translate that into a research agenda and then like hill climb on both of those at the same time.Shawn Wang [00:16:04]: Yeah. Mark has the steering CLI demo queued up, which we're going to go into in a sec. But I always want to double click on when you drop hints, like we found some problems with SAEs. Okay. What are they? You know, and then we can go into the demo. Yeah.Myra Deng [00:16:19]: I mean, I'm curious if you have more thoughts here as well, because you've done it in the healthcare domain. But I think like, for instance, when we do things like trying to detect behaviors within models that are harmful or like behaviors that a user might not want to have in their model. So hallucinations, for instance, harmful intent, PII, all of these things. We first tried using SAE probes for a lot of these tasks. So taking the feature activation space from SAEs and then training classifiers on top of that, and then seeing how well we can detect the properties that we might want to detect in model behavior. And we've seen in many cases that probes just trained on raw activations seem to perform better than SAE probes, which is a bit surprising if you think that SAEs are actually also capturing the concepts that you would want to capture cleanly and more surgically. And so that is an interesting observation. I don't think that is like, I'm not down on SAEs at all. I think there are many, many things they're useful for, but we have definitely run into cases where I think the concept space described by SAEs is not as clean and accurate as we would expect it to be for actual like real world downstream performance metrics.Mark Bissell [00:17:34]: Fair enough. Yeah. It's the blessing and the curse of unsupervised methods where you get to peek into the AI's mind. But sometimes you wish that you saw other things when you walked inside there. Although in the PII instance, I think weren't an SAE based approach actually did prove to be the most generalizable?Myra Deng [00:17:53]: It did work well in the case that we published with Rakuten. And I think a lot of the reasons it worked well was because we had a noisier data set. And so actually the blessing of unsupervised learning is that we actually got to get more meaningful, generalizable signal from SAEs when the data was noisy. But in other cases where we've had like good data sets, it hasn't been the case.Shawn Wang [00:18:14]: And just because you named Rakuten and I don't know if we'll get it another chance, like what is the overall, like what is Rakuten's usage or production usage? Yeah.Myra Deng [00:18:25]: So they are using us to essentially guardrail and inference time monitor their language model usage and their agent usage to detect things like PII so that they don't route private user information.Myra Deng [00:18:41]: And so that's, you know, going through all of their user queries every day. And that's something that we deployed with them a few months ago. And now we are actually exploring very early partnerships, not just with Rakuten, but with other people around how we can help with potentially training and customization use cases as well. Yeah.Shawn Wang [00:19:03]: And for those who don't know, like it's Rakuten is like, I think number one or number two e-commerce store in Japan. Yes. Yeah.Mark Bissell [00:19:10]: And I think that use case actually highlights a lot of like what it looks like to deploy things in practice that you don't always think about when you're doing sort of research tasks. So when you think about some of the stuff that came up there that's more complex than your idealized version of a problem, they were encountering things like synthetic to real transfer of methods. So they couldn't train probes, classifiers, things like that on actual customer data of PII. So what they had to do is use synthetic data sets. And then hope that that transfer is out of domain to real data sets. And so we can evaluate performance on the real data sets, but not train on customer PII. So that right off the bat is like a big challenge. You have multilingual requirements. So this needed to work for both English and Japanese text. Japanese text has all sorts of quirks, including tokenization behaviors that caused lots of bugs that caused us to be pulling our hair out. And then also a lot of tasks you'll see. You might make simplifying assumptions if you're sort of treating it as like the easiest version of the problem to just sort of get like general results where maybe you say you're classifying a sentence to say, does this contain PII? But the need that Rakuten had was token level classification so that you could precisely scrub out the PII. So as we learned more about the problem, you're sort of speaking about what that looks like in practice. Yeah. A lot of assumptions end up breaking. And that was just one instance where you. A problem that seems simple right off the bat ends up being more complex as you keep diving into it.Vibhu Sapra [00:20:41]: Excellent. One of the things that's also interesting with Interp is a lot of these methods are very efficient, right? So where you're just looking at a model's internals itself compared to a separate like guardrail, LLM as a judge, a separate model. One, you have to host it. Two, there's like a whole latency. So if you use like a big model, you have a second call. Some of the work around like self detection of hallucination, it's also deployed for efficiency, right? So if you have someone like Rakuten doing it in production live, you know, that's just another thing people should consider.Mark Bissell [00:21:12]: Yeah. And something like a probe is super lightweight. Yeah. It's no extra latency really. Excellent.Shawn Wang [00:21:17]: You have the steering demos lined up. So we were just kind of see what you got. I don't, I don't actually know if this is like the latest, latest or like alpha thing.Mark Bissell [00:21:26]: No, this is a pretty hacky demo from from a presentation that someone else on the team recently gave. So this will give a sense for, for technology. So you can see the steering and action. Honestly, I think the biggest thing that this highlights is that as we've been growing as a company and taking on kind of more and more ambitious versions of interpretability related problems, a lot of that comes to scaling up in various different forms. And so here you're going to see steering on a 1 trillion parameter model. This is Kimi K2. And so it's sort of fun that in addition to the research challenges, there are engineering challenges that we're now tackling. Cause for any of this to be sort of useful in production, you need to be thinking about what it looks like when you're using these methods on frontier models as opposed to sort of like toy kind of model organisms. So yeah, this was thrown together hastily, pretty fragile behind the scenes, but I think it's quite a fun demo. So screen sharing is on. So I've got two terminal sessions pulled up here. On the left is a forked version that we have of the Kimi CLI that we've got running to point at our custom hosted Kimi model. And then on the right is a set up that will allow us to steer on certain concepts. So I should be able to chat with Kimi over here. Tell it hello. This is running locally. So the CLI is running locally, but the Kimi server is running back to the office. Well, hopefully should be, um, that's too much to run on that Mac. Yeah. I think it's, uh, it takes a full, like each 100 node. I think it's like, you can. You can run it on eight GPUs, eight 100. So, so yeah, Kimi's running. We can ask it a prompt. It's got a forked version of our, uh, of the SG line code base that we've been working on. So I'm going to tell it, Hey, this SG line code base is slow. I think there's a bug. Can you try to figure it out? There's a big code base, so it'll, it'll spend some time doing this. And then on the right here, I'm going to initialize in real time. Some steering. Let's see here.Mark Bissell [00:23:33]: searching for any. Bugs. Feature ID 43205.Shawn Wang [00:23:38]: Yeah.Mark Bissell [00:23:38]: 20, 30, 40. So let me, uh, this is basically a feature that we found that inside Kimi seems to cause it to speak in Gen Z slang. And so on the left, it's still sort of thinking normally it might take, I don't know, 15 seconds for this to kick in, but then we're going to start hopefully seeing him do this code base is massive for real. So we're going to start. We're going to start seeing Kimi transition as the steering kicks in from normal Kimi to Gen Z Kimi and both in its chain of thought and its actual outputs.Mark Bissell [00:24:19]: And interestingly, you can see, you know, it's still able to call tools, uh, and stuff. It's um, it's purely sort of it's it's demeanor. And there are other features that we found for interesting things like concision. So that's more of a practical one. You can make it more concise. Um, the types of programs, uh, programming languages that uses, but yeah, as we're seeing it come in. Pretty good. Outputs.Shawn Wang [00:24:43]: Scheduler code is actually wild.Vibhu Sapra [00:24:46]: Yo, this code is actually insane, bro.Vibhu Sapra [00:24:53]: What's the process of training in SAE on this, or, you know, how do you label features? I know you guys put out a pretty cool blog post about, um, finding this like autonomous interp. Um, something. Something about how agents for interp is different than like coding agents. I don't know while this is spewing up, but how, how do we find feature 43, two Oh five. Yeah.Mark Bissell [00:25:15]: So in this case, um, we, our platform that we've been building out for a long time now supports all the sort of classic out of the box interp techniques that you might want to have like SAE training, probing things of that kind, I'd say the techniques for like vanilla SAEs are pretty well established now where. You take your model that you're interpreting, run a whole bunch of data through it, gather activations, and then yeah, pretty straightforward pipeline to train an SAE. There are a lot of different varieties. There's top KSAEs, batch top KSAEs, um, normal ReLU SAEs. And then once you have your sparse features to your point, assigning labels to them to actually understand that this is a gen Z feature, that's actually where a lot of the kind of magic happens. Yeah. And the most basic standard technique is look at all of your d input data set examples that cause this feature to fire most highly. And then you can usually pick out a pattern. So for this feature, If I've run a diverse enough data set through my model feature 43, two Oh five. Probably tends to fire on all the tokens that sounds like gen Z slang. You know, that's the, that's the time of year to be like, Oh, I'm in this, I'm in this Um, and, um, so, you know, you could have a human go through all 43,000 concepts andVibhu Sapra [00:26:34]: And I've got to ask the basic question, you know, can we get examples where it hallucinates, pass it through, see what feature activates for hallucinations? Can I just, you know, turn hallucination down?Myra Deng [00:26:51]: Oh, wow. You really predicted a project we're already working on right now, which is detecting hallucinations using interpretability techniques. And this is interesting because hallucinations is something that's very hard to detect. And it's like a kind of a hairy problem and something that black box methods really struggle with. Whereas like Gen Z, you could always train a simple classifier to detect that hallucinations is harder. But we've seen that models internally have some... Awareness of like uncertainty or some sort of like user pleasing behavior that leads to hallucinatory behavior. And so, yeah, we have a project that's trying to detect that accurately. And then also working on mitigating the hallucinatory behavior in the model itself as well.Shawn Wang [00:27:39]: Yeah, I would say most people are still at the level of like, oh, I would just turn temperature to zero and that turns off hallucination. And I'm like, well, that's a fundamental misunderstanding of how this works. Yeah.Mark Bissell [00:27:51]: Although, so part of what I like about that question is you, there are SAE based approaches that might like help you get at that. But oftentimes the beauty of SAEs and like we said, the curse is that they're unsupervised. So when you have a behavior that you deliberately would like to remove, and that's more of like a supervised task, often it is better to use something like probes and specifically target the thing that you're interested in reducing as opposed to sort of like hoping that when you fragment the latent space, one of the vectors that pops out.Vibhu Sapra [00:28:20]: And as much as we're training an autoencoder to be sparse, we're not like for sure certain that, you know, we will get something that just correlates to hallucination. You'll probably split that up into 20 other things and who knows what they'll be.Mark Bissell [00:28:36]: Of course. Right. Yeah. So there's no sort of problems with like feature splitting and feature absorption. And then there's the off target effects, right? Ideally, you would want to be very precise where if you reduce the hallucination feature, suddenly maybe your model can't write. Creatively anymore. And maybe you don't like that, but you want to still stop it from hallucinating facts and figures.Shawn Wang [00:28:55]: Good. So Vibhu has a paper to recommend there that we'll put in the show notes. But yeah, I mean, I guess just because your demo is done, any any other things that you want to highlight or any other interesting features you want to show?Mark Bissell [00:29:07]: I don't think so. Yeah. Like I said, this is a pretty small snippet. I think the main sort of point here that I think is exciting is that there's not a whole lot of inter being applied to models quite at this scale. You know, Anthropic certainly has some some. Research and yeah, other other teams as well. But it's it's nice to see these techniques, you know, being put into practice. I think not that long ago, the idea of real time steering of a trillion parameter model would have sounded.Shawn Wang [00:29:33]: Yeah. The fact that it's real time, like you started the thing and then you edited the steering vector.Vibhu Sapra [00:29:38]: I think it's it's an interesting one TBD of what the actual like production use case would be on that, like the real time editing. It's like that's the fun part of the demo, right? You can kind of see how this could be served behind an API, right? Like, yes, you're you only have so many knobs and you can just tweak it a bit more. And I don't know how it plays in. Like people haven't done that much with like, how does this work with or without prompting? Right. How does this work with fine tuning? Like, there's a whole hype of continual learning, right? So there's just so much to see. Like, is this another parameter? Like, is it like parameter? We just kind of leave it as a default. We don't use it. So I don't know. Maybe someone here wants to put out a guide on like how to use this with prompting when to do what?Mark Bissell [00:30:18]: Oh, well, I have a paper recommendation. I think you would love from Act Deep on our team, who is an amazing researcher, just can't say enough amazing things about Act Deep. But he actually has a paper that as well as some others from the team and elsewhere that go into the essentially equivalence of activation steering and in context learning and how those are from a he thinks of everything in a cognitive neuroscience Bayesian framework, but basically how you can precisely show how. Prompting in context, learning and steering exhibit similar behaviors and even like get quantitative about the like magnitude of steering you would need to do to induce a certain amount of behavior similar to certain prompting, even for things like jailbreaks and stuff. It's a really cool paper. Are you saying steering is less powerful than prompting? More like you can almost write a formula that tells you how to convert between the two of them.Myra Deng [00:31:20]: And so like formally equivalent actually in the in the limit. Right.Mark Bissell [00:31:24]: So like one case study of this is for jailbreaks there. I don't know. Have you seen the stuff where you can do like many shot jailbreaking? You like flood the context with examples of the behavior. And the topic put out that paper.Shawn Wang [00:31:38]: A lot of people were like, yeah, we've been doing this, guys.Mark Bissell [00:31:40]: Like, yeah, what's in this in context learning and activation steering equivalence paper is you can like predict the number. Number of examples that you will need to put in there in order to jailbreak the model. That's cool. By doing steering experiments and using this sort of like equivalence mapping. That's cool. That's really cool. It's very neat. Yeah.Shawn Wang [00:32:02]: I was going to say, like, you know, I can like back rationalize that this makes sense because, you know, what context is, is basically just, you know, it updates the KV cache kind of and like and then every next token inference is still like, you know, the sheer sum of everything all the way. It's plus all the context. It's up to date. And you could, I guess, theoretically steer that with you probably replace that with your steering. The only problem is steering typically is on one layer, maybe three layers like like you did. So it's like not exactly equivalent.Mark Bissell [00:32:33]: Right, right. There's sort of you need to get precise about, yeah, like how you sort of define steering and like what how you're modeling the setup. But yeah, I've got the paper pulled up here. Belief dynamics reveal the dual nature. Yeah. The title is Belief Dynamics Reveal the Dual Nature of Incompetence. And it's an exhibition of the practical context learning and activation steering. So Eric Bigelow, Dan Urgraft on the who are doing fellowships at Goodfire, Ekt Deep's the final author there.Myra Deng [00:32:59]: I think actually to your question of like, what is the production use case of steering? I think maybe if you just think like one level beyond steering as it is today. Like imagine if you could adapt your model to be, you know, an expert legal reasoner. Like in almost real time, like very quickly. efficiently using human feedback or using like your semantic understanding of what the model knows and where it knows that behavior. I think that while it's not clear what the product is at the end of the day, it's clearly very valuable. Thinking about like what's the next interface for model customization and adaptation is a really interesting problem for us. Like we have heard a lot of people actually interested in fine-tuning an RL for open weight models in production. And so people are using things like Tinker or kind of like open source libraries to do that, but it's still very difficult to get models fine-tuned and RL'd for exactly what you want them to do unless you're an expert at model training. And so that's like something we'reShawn Wang [00:34:06]: looking into. Yeah. I never thought so. Tinker from Thinking Machines famously uses rank one LoRa. Is that basically the same as steering? Like, you know, what's the comparison there?Mark Bissell [00:34:19]: Well, so in that case, you are still applying updates to the parameters, right?Shawn Wang [00:34:25]: Yeah. You're not touching a base model. You're touching an adapter. It's kind of, yeah.Mark Bissell [00:34:30]: Right. But I guess it still is like more in parameter space then. I guess it's maybe like, are you modifying the pipes or are you modifying the water flowing through the pipes to get what you're after? Yeah. Just maybe one way.Mark Bissell [00:34:44]: I like that analogy. That's my mental map of it at least, but it gets at this idea of model design and intentional design, which is something that we're, that we're very focused on. And just the fact that like, I hope that we look back at how we're currently training models and post-training models and just think what a primitive way of doing that right now. Like there's no intentionalityShawn Wang [00:35:06]: really in... It's just data, right? The only thing in control is what data we feed in.Mark Bissell [00:35:11]: So, so Dan from Goodfire likes to use this analogy of, you know, he has a couple of young kids and he talks about like, what if I could only teach my kids how to be good people by giving them cookies or like, you know, giving them a slap on the wrist if they do something wrong, like not telling them why it was wrong or like what they should have done differently or something like that. Just figure it out. Right. Exactly. So that's RL. Yeah. Right. And, and, you know, it's sample inefficient. There's, you know, what do they say? It's like slurping feedback. It's like, slurping supervision. Right. And so you'd like to get to the point where you can have experts giving feedback to their models that are, uh, internalized and, and, you know, steering is an inference time way of sort of getting that idea. But ideally you're moving to a world whereVibhu Sapra [00:36:04]: it is much more intentional design in perpetuity for these models. Okay. This is one of the questions we asked Emmanuel from Anthropic on the podcast a few months ago. Basically the question, was you're at a research lab that does model training, foundation models, and you're on an interp team. How does it tie back? Right? Like, does this, do ideas come from the pre-training team? Do they go back? Um, you know, so for those interested, you can, you can watch that. There wasn't too much of a connect there, but it's still something, you know, it's something they want toMark Bissell [00:36:33]: push for down the line. It can be useful for all of the above. Like there are certainly post-hocVibhu Sapra [00:36:39]: use cases where it doesn't need to touch that. I think the other thing a lot of people forget is this stuff isn't too computationally expensive, right? Like I would say, if you're interested in getting into research, MechInterp is one of the most approachable fields, right? A lot of this train an essay, train a probe, this stuff, like the budget for this one, there's already a lot done. There's a lot of open source work. You guys have done some too. Um, you know,Shawn Wang [00:37:04]: There's like notebooks from the Gemini team for Neil Nanda or like, this is how you do it. Just step through the notebook.Vibhu Sapra [00:37:09]: Even if you're like, not even technical with any of this, you can still make like progress. There, you can look at different activations, but, uh, if you do want to get into training, you know, training this stuff, correct me if I'm wrong is like in the thousands of dollars, not even like, it's not that high scale. And then same with like, you know, applying it, doing it for post-training or all this stuff is fairly cheap in scale of, okay. I want to get into like model training. I don't have compute for like, you know, pre-training stuff. So it's, it's a very nice field to get into. And also there's a lot of like open questions, right? Um, some of them have to go with, okay, I want a product. I want to solve this. Like there's also just a lot of open-ended stuff that people could work on. That's interesting. Right. I don't know if you guys have any calls for like, what's open questions, what's open work that you either open collaboration with, or like, you'd just like to see solved or just, you know, for people listening that want to get into McInturk because people always talk about it. What are, what are the things they should check out? Start, of course, you know, join you guys as well. I'm sure you're hiring.Myra Deng [00:38:09]: There's a paper, I think from, was it Lee, uh, Sharky? It's open problems and, uh, it's, it's a bit of interpretability, which I recommend everyone who's interested in the field. Read. I'm just like a really comprehensive overview of what are the things that experts in the field think are the most important problems to be solved. I also think to your point, it's been really, really inspiring to see, I think a lot of young people getting interested in interpretability, actually not just young people also like scientists to have been, you know, experts in physics for many years and in biology or things like this, um, transitioning into interp, because the barrier of, of what's now interp. So it's really cool to see a number to entry is, you know, in some ways low and there's a lot of information out there and ways to get started. There's this anecdote of like professors at universities saying that all of a sudden every incoming PhD student wants to study interpretability, which was not the case a few years ago. So it just goes to show how, I guess, like exciting the field is, how fast it's moving, how quick it is to get started and things like that.Mark Bissell [00:39:10]: And also just a very welcoming community. You know, there's an open source McInturk Slack channel. There are people are always posting questions and just folks in the space are always responsive if you ask things on various forums and stuff. But yeah, the open paper, open problems paper is a really good one.Myra Deng [00:39:28]: For other people who want to get started, I think, you know, MATS is a great program. What's the acronym for? Machine Learning and Alignment Theory Scholars? It's like the...Vibhu Sapra [00:39:40]: Normally summer internship style.Myra Deng [00:39:42]: Yeah, but they've been doing it year round now. And actually a lot of our full-time staff have come through that program or gone through that program. And it's great for anyone who is transitioning into interpretability. There's a couple other fellows programs. We do one as well as Anthropic. And so those are great places to get started if anyone is interested.Mark Bissell [00:40:03]: Also, I think been seen as a research field for a very long time. But I think engineering... I think engineers are sorely wanted for interpretability as well, especially at Goodfire, but elsewhere, as it does scale up.Shawn Wang [00:40:18]: I should mention that Lee actually works with you guys, right? And in the London office and I'm adding our first ever McInturk track at AI Europe because I see this industry applications now emerging. And I'm pretty excited to, you know, help push that along. Yeah, I was looking forward to that. It'll effectively be the first industry McInturk conference. Yeah. I'm so glad you added that. You know, it's still a little bit of a bet. It's not that widespread, but I can definitely see this is the time to really get into it. We want to be early on things.Mark Bissell [00:40:51]: For sure. And I think the field understands this, right? So at ICML, I think the title of the McInturk workshop this year was actionable interpretability. And there was a lot of discussion around bringing it to various domains. Everyone's adding pragmatic, actionable, whatever.Shawn Wang [00:41:10]: It's like, okay, well, we weren't actionable before, I guess. I don't know.Vibhu Sapra [00:41:13]: And I mean, like, just, you know, being in Europe, you see the Interp room. One, like old school conferences, like, I think they had a very tiny room till they got lucky and they got it doubled. But there's definitely a lot of interest, a lot of niche research. So you see a lot of research coming out of universities, students. We covered the paper last week. It's like two unknown authors, not many citations. But, you know, you can make a lot of meaningful work there. Yeah. Yeah. Yeah.Shawn Wang [00:41:39]: Yeah. I think people haven't really mentioned this yet. It's just Interp for code. I think it's like an abnormally important field. We haven't mentioned this yet. The conspiracy theory last two years ago was when the first SAE work came out of Anthropic was they would do like, oh, we just used SAEs to turn the bad code vector down and then turn up the good code. And I think like, isn't that the dream? Like, you know, like, but basically, I guess maybe, why is it funny? Like, it's... If it was realistic, it would not be funny. It would be like, no, actually, we should do this. But it's funny because we know there's like, we feel there's some limitations to what steering can do. And I think a lot of the public image of steering is like the Gen Z stuff. Like, oh, you can make it really love the Golden Gate Bridge, or you can make it speak like Gen Z. To like be a legal reasoner seems like a huge stretch. Yeah. And I don't know if that will get there this way. Yeah.Myra Deng [00:42:36]: I think, um, I will say we are announcing. Something very soon that I will not speak too much about. Um, but I think, yeah, this is like what we've run into again and again is like, we, we don't want to be in the world where steering is only useful for like stylistic things. That's definitely not, not what we're aiming for. But I think the types of interventions that you need to do to get to things like legal reasoning, um, are much more sophisticated and require breakthroughs in, in learning algorithms. And that's, um...Shawn Wang [00:43:07]: And is this an emergent property of scale as well?Myra Deng [00:43:10]: I think so. Yeah. I mean, I think scale definitely helps. I think scale allows you to learn a lot of information and, and reduce noise across, you know, large amounts of data. But I also think we think that there's ways to do things much more effectively, um, even, even at scale. So like actually learning exactly what you want from the data and not learning things that you do that you don't want exhibited in the data. So we're not like anti-scale, but we are also realizing that scale is not going to get us anywhere. It's not going to get us to the type of AI development that we want to be at in, in the future as these models get more powerful and get deployed in all these sorts of like mission critical contexts. Current life cycle of training and deploying and evaluations is, is to us like deeply broken and has opportunities to, to improve. So, um, more to come on that very, very soon.Mark Bissell [00:44:02]: And I think that that's a use basically, or maybe just like a proof point that these concepts do exist. Like if you can manipulate them in the precise best way, you can get the ideal combination of them that you desire. And steering is maybe the most coarse grained sort of peek at what that looks like. But I think it's evocative of what you could do if you had total surgical control over every concept, every parameter. Yeah, exactly.Myra Deng [00:44:30]: There were like bad code features. I've got it pulled up.Vibhu Sapra [00:44:33]: Yeah. Just coincidentally, as you guys are talking.Shawn Wang [00:44:35]: This is like, this is exactly.Vibhu Sapra [00:44:38]: There's like specifically a code error feature that activates and they show, you know, it's not, it's not typo detection. It's like, it's, it's typos in code. It's not typical typos. And, you know, you can, you can see it clearly activates where there's something wrong in code. And they have like malicious code, code error. They have a whole bunch of sub, you know, sub broken down little grain features. Yeah.Shawn Wang [00:45:02]: Yeah. So, so the, the rough intuition for me, the, why I talked about post-training was that, well, you just, you know, have a few different rollouts with all these things turned off and on and whatever. And then, you know, you can, that's, that's synthetic data you can kind of post-train on. Yeah.Vibhu Sapra [00:45:13]: And I think we make it sound easier than it is just saying, you know, they do the real hard work.Myra Deng [00:45:19]: I mean, you guys, you guys have the right idea. Exactly. Yeah. We replicated a lot of these features in, in our Lama models as well. I remember there was like.Vibhu Sapra [00:45:26]: And I think a lot of this stuff is open, right? Like, yeah, you guys opened yours. DeepMind has opened a lot of essays on Gemma. Even Anthropic has opened a lot of this. There's, there's a lot of resources that, you know, we can probably share of people that want to get involved.Shawn Wang [00:45:41]: Yeah. And special shout out to like Neuronpedia as well. Yes. Like, yeah, amazing piece of work to visualize those things.Myra Deng [00:45:49]: Yeah, exactly.Shawn Wang [00:45:50]: I guess I wanted to pivot a little bit on, onto the healthcare side, because I think that's a big use case for you guys. We haven't really talked about it yet. This is a bit of a crossover for me because we are, we are, we do have a separate science pod that we're starting up for AI, for AI for science, just because like, it's such a huge investment category and also I'm like less qualified to do it, but we actually have bio PhDs to cover that, which is great, but I need to just kind of recover, recap your work, maybe on the evil two stuff, but then, and then building forward.Mark Bissell [00:46:17]: Yeah, for sure. And maybe to frame up the conversation, I think another kind of interesting just lens on interpretability in general is a lot of the techniques that were described. are ways to solve the AI human interface problem. And it's sort of like bidirectional communication is the goal there. So what we've been talking about with intentional design of models and, you know, steering, but also more advanced techniques is having humans impart our desires and control into models and over models. And the reverse is also very interesting, especially as you get to superhuman models, whether that's narrow superintelligence, like these scientific models that work on genomics, data, medical imaging, things like that. But down the line, you know, superintelligence of other forms as well. What knowledge can the AIs teach us as sort of that, that the other direction in that? And so some of our life science work to date has been getting at exactly that question, which is, well, some of it does look like debugging these various life sciences models, understanding if they're actually performing well, on tasks, or if they're picking up on spurious correlations, for instance, genomics models, you would like to know whether they are sort of focusing on the biologically relevant things that you care about, or if it's using some simpler correlate, like the ancestry of the person that it's looking at. But then also in the instances where they are superhuman, and maybe they are understanding elements of the human genome that we don't have names for or specific, you know, yeah, discoveries that they've made that that we don't know about, that's, that's a big goal. And so we're already seeing that, right, we are partnered with organizations like Mayo Clinic, leading research health system in the United States, our Institute, as well as a startup called Prima Menta, which focuses on neurodegenerative disease. And in our partnership with them, we've used foundation models, they've been training and applied our interpretability techniques to find novel biomarkers for Alzheimer's disease. So I think this is just the tip of the iceberg. But it's, that's like a flavor of some of the things that we're working on.Shawn Wang [00:48:36]: Yeah, I think that's really fantastic. Obviously, we did the Chad Zuckerberg pod last year as well. And like, there's a plethora of these models coming out, because there's so much potential and research. And it's like, very interesting how it's basically the same as language models, but just with a different underlying data set. But it's like, it's the same exact techniques. Like, there's no change, basically.Mark Bissell [00:48:59]: Yeah. Well, and even in like other domains, right? Like, you know, robotics, I know, like a lot of the companies just use Gemma as like the like backbone, and then they like make it into a VLA that like takes these actions. It's, it's, it's transformers all the way down. So yeah.Vibhu Sapra [00:49:15]: Like we have Med Gemma now, right? Like this week, even there was Med Gemma 1.5. And they're training it on this stuff, like 3d scans, medical domain knowledge, and all that stuff, too. So there's a push from both sides. But I think the thing that, you know, one of the things about McInturpp is like, you're a little bit more cautious in some domains, right? So healthcare, mainly being one, like guardrails, understanding, you know, we're more risk adverse to something going wrong there. So even just from a basic understanding, like, if we're trusting these systems to make claims, we want to know why and what's going on.Myra Deng [00:49:51]: Yeah, I think there's totally a kind of like deployment bottleneck to actually using. foundation models for real patient usage or things like that. Like, say you're using a model for rare disease prediction, you probably want some explanation as to why your model predicted a certain outcome, and an interpretable explanation at that. So that's definitely a use case. But I also think like, being able to extract scientific information that no human knows to accelerate drug discovery and disease treatment and things like that actually is a really, really big unlock for science, like scientific discovery. And you've seen a lot of startups, like say that they're going to accelerate scientific discovery. And I feel like we actually are doing that through our interp techniques. And kind of like, almost by accident, like, I think we got reached out to very, very early on from these healthcare institutions. And none of us had healthcare.Shawn Wang [00:50:49]: How did they even hear of you? A podcast.Myra Deng [00:50:51]: Oh, okay. Yeah, podcast.Vibhu Sapra [00:50:53]: Okay, well, now's that time, you know.Myra Deng [00:50:55]: Everyone can call us.Shawn Wang [00:50:56]: Podcasts are the most important thing. Everyone should listen to podcasts.Myra Deng [00:50:59]: Yeah, they reached out. They were like, you know, we have these really smart models that we've trained, and we want to know what they're doing. And we were like, really early that time, like three months old, and it was a few of us. And we were like, oh, my God, we've never used these models. Let's figure it out. But it's also like, great proof that interp techniques scale pretty well across domains. We didn't really have to learn too much about.Shawn Wang [00:51:21]: Interp is a machine learning technique, machine learning skills everywhere, right? Yeah. And it's obviously, it's just like a general insight. Yeah. Probably to finance too, I think, which would be fun for our history. I don't know if you have anything to say there.Mark Bissell [00:51:34]: Yeah, well, just across the science. Like, we've also done work on material science. Yeah, it really runs the gamut.Vibhu Sapra [00:51:40]: Yeah. Awesome. And, you know, for those that should reach out, like, you're obviously experts in this, but like, is there a call out for people that you're looking to partner with, design partners, people to use your stuff outside of just, you know, the general developer that wants to. Plug and play steering stuff, like on the research side more so, like, are there ideal design partners, customers, stuff like that?Myra Deng [00:52:03]: Yeah, I can talk about maybe non-life sciences, and then I'm curious to hear from you on the life sciences side. But we're looking for design partners across many domains, language, anyone who's customizing language models or trying to push the frontier of code or reasoning models is really interesting to us. And then also interested in the frontier of modeling. There's a lot of models that work in, like, pixel space, as we call it. So if you're doing world models, video models, even robotics, where there's not a very clean natural language interface to interact with, I think we think that Interp can really help and are looking for a few partners in that space.Shawn Wang [00:52:43]: Just because you mentioned the keyword

ZFS Scrubs and Data integrity, Propolice, FreeBSD vs Slackware and more. NOTES This episode of BSDNow is brought to you by Tarsnap and the BSDNow Patreon Headlines Understanding ZFS Scrubs and Data Integrity The story of Propolice Desk reviews describe comment ask questions No reponses, no justications. [Tj's Desk](media/bsdnow649-tjs-desk.jpg) [Ruben's Desk](media/bsdnow649-rubens-desk.jpg) News Roundup FreeBSD vs. Slackware: Which super stable OS is right for you? Prometheus, Let's Encrypt, and making sure all our TLS certificates are monitored Wait, a repairable ThinkPad!? Tarsnap This weeks episode of BSDNow was sponsored by our friends at Tarsnap, the only secure online backup you can trust your data to. Even paranoids need backups. Feedback/Questions Send questions, comments, show ideas/topics, or stories you want mentioned on the show to feedback@bsdnow.tv Join us and other BSD Fans in our BSD Now Telegram channel

In your later decades, how can strength training reverse muscle loss? In this episode, I spoke with Dr. William Evans, the scientist who first described sarcopenia, to unpack why muscle loss—not aging itself—is the biggest threat to metabolism, independence, and long-term health. We explored why muscle is far more adaptable than most women realize, even into advanced age, and why traditional measurements like scale weight and lean mass miss the real picture. Dr. William Evans is a muscle researcher, former pharma scientist, and a professor at the University of California, Berkeley, whose work has been cited over 80,000 times. If you've ever heard that muscle loss drives aging, chances are it traces back to his research. What you'll learn: (04:33) How losing muscle directly lowers metabolic rate and increases disease risk. (06:49) Why common body composition tests fail to measure true muscle mass. (07:31) How a new non-invasive muscle test predicts strength, disability, and longevity. (13:32) Why muscle percentage is more predictive than body weight or BMI. (20:55) How neurological changes and inactivity contribute to muscle loss after 30. (23:37) Why strength and power training are essential for preserving fast-twitch fibers. (30:49) How protein intake and resistance training protect muscle during weight loss. Love the podcast? Here's what to do: Subscribe to the podcast. Leave a review. Text a screenshot to me at 813-565-2627 and wait for a personal reply because your voice is so important to me. Want to listen to the show completely ad-free? Go to http://subscribetojj.com Click “TRY FREE” and start your ad-free journey today! When you're ready, enjoy the VIP experience for just $4.99 per month or $49.99 per year (save 17%!) Full show notes (including all links mentioned): https://jjvirgin.com/drevans Learn more about your ad choices. Visit megaphone.fm/adchoices

On September 21st, 1327, King Edward II of England was officially murdered at Berkeley Castle in one of the most infamous executions in medieval history.But there's a problem.No one ever saw his face at the funeral.His own brother believed he was still alive—and was executed for trying to rescue him. Senior nobles and clergy believed the same. And a letter from an Italian bishop claims Edward escaped and lived for years as a hermit in Europe.So what really happened?In this investigation, we examine the evidence behind one of medieval England's greatest conspiracies—and why the official story may have been staged to protect power, legitimacy, and control.More importantly, we trace the *playbook*:• Remove the threat • Control the narrative • Prevent independent verification • Eliminate anyone who questions it • Lock the story in place This isn't ancient history.It's a system that still works.Same playbook. Different century.

On December 21, 2025, activist and trailblazer Betty Reid Soskin passed away in Richmond, California. She was 104. Over the years we've chronicled Betty's remarkable story and want to share it today in honor of Betty and Black History Month.In 2011, at age 89, Betty became America's oldest national park service ranger, a position she held until she retired at 100. Her bold and forthright tours and talks at the Rosie the Riveter WWII Home Front Museum were legendary. As a Black woman who worked in the segregated war effort, she spoke from her personal experience revealing a fuller, richer understanding of the World War II years experienced by women and people of color on the home front.Betty's Creole/Cajun family was from New Orleans and her great grandmother had been born into slavery in 1846. Displaced by the Great Mississippi Flood of 1927, Betty moved with her family to Oakland, where she grew up in the late 20s and 30s. During WWII she worked as a file clerk for Boilermakers Union A-36, a Jim Crow all Black union auxiliary, where she witnessed firsthand the discrimination faced by Black workers in the wartime industry.Betty raised four children in the highly segregated Diablo Valley area where the family was subject to death threats. She and her first husband, Mel Reid, owned one of the first Black record shops west of the Mississippi located in Berkeley. She also worked as a Field Representative for California State Assembly women Dion Aroner and Lonnie Hancock. In 2016, at age 94, Betty survived a violent home invasion and returned to work at the Rosie the Riveter Museum just weeks later.A singer, songwriter, poet and musician, Betty chronicled her life and work in a memoir, "Sign My Name to Freedom," which inspired both a stage play and a documentary film. Betty received numerous awards and honors throughout her life, including a presidential coin from Barack Obama in 2015 after she lit the national Christmas tree at the White House.Special thanks to: The San Francisco Public Library and Shawna Sherman of the African American Center of the San Francisco Main Library; This is Love Podcast and creators Phoebe Judge and Lauren Spohrer; and A Lifetime of Being Betty, a Little Village Foundation recording release produced by Mike Kappus. Thanks also to Betty's son, musician and songwriter Bob Reid  http://www.bobreidmusic.com/The Kitchen Sisters Present is produced by The Kitchen Sisters (Nikki Silva & Davia Nelson) with Nathan Dalton and Brandi Howell. We are part of the Radiotopia network from PRX.

Notes and Links to Carolina Ixta's Work   Carolina Ixta is a writer from Oakland, California. A daughter of Mexican immigrants, she received her BA in creative writing and Spanish language and literature at the University of California, Santa Cruz, and obtained her master's degree in education at the University of California, Berkeley. Her debut novel, Shut Up, This Is Serious, was a Morris Award finalist, an LA Times Book Prize finalist, and the winner of the Pura Belpré Award. Few Blue Skies is out now. Buy Few Blue Skies   Carolina Ixta's Website   Kirkus Review on Few Blue Skies At about 1:50, Carolina responds to Pete's question about how she feels with her book at Pub Day At about 3:35, Carolina shouts out Mrs. Dalloway's and other bookstores to buy Few Blue Skies At about 4:25, Carolina talks about her language and reading background  At about 6:00, Pete and Carolina reminisce on taking the challenging Spanish linguistics class At about 8:25, The two reflect on the unceasing reading list At about 9:15, Carolina shouts out Pam Munoz Ryan and Esperanza Rising-a transformative book and wonderful person At about 10:45, Carolina highlights the wonderful evolution of young adult fiction At about 12:45, The two fanboy and -girl over Jason Reynolds At about 14:55-RILKE! At about 16:30, Aria Aber is cited as a great fan and proponent of Rilke At about 18:10, Carolina gives an intricate and wise explanation of how writing and teaching elementary school and her own schooling have come together in a balance in writing for young people  At about 24:30, Carolina gives information on seeds for Few Blue Skies-an urban education class and references to drinking water in Oakland Public Schools is cited At about 27:05, Pete compliments the universality and specificity of the book in asking Carolina about the area in which she writes and connections to real-life companies At about 28:30, The two set the book's exposition  At about 32:40, Carolina expands on familial connections to the Bracero Program and cites Alejandra Oliva's Rivermouth as a great source for information about the shocking (or not) racism associated with the program At about 36:20, Carolina likes to  At about 38:00, Carolina makes interesting points about the “invisible” work done by Paloma's mother and many women At about 42:00, The two discuss the strike undertaken in the book and ideas of practicality and idealism At about 42:40, AQA days are discussed in connection to air quality issues that happen in the book and in real life At about 44:00, The two discuss grief, and Pete compliments the realism shown by the character in the book after Julio's father's death At about 45:20, Carolina responds to Pete's question about the significance of a garden envisioned by Julio in the book At about 47:40, Carolina expands on Julio as a “wholesome character” and drawing his dimensions and his future and romantic life At about 49:00, Carolina talks about stretching her Bay Area loyalties in writing realistically about the IE and their sports loyalties; she talks about wanting/needing to write something that shows her "range"  At about 51:15, Carolina responds to Pete's question about the provenance of the book's Mayor Warner At about 55:45, Pete and Carolina talk about ideas of ignorance with regard to Paloma, and real-life versions of naivete and idealism   At about 59:00, Carolina talks about anxieties around proving that she can write fiction rooted in nonfiction, and how she so wants kids to go to Wikipedia and do deeper research in enjoying reading  At about 1:01:55, Pete cites the “good and fun awkwardness” in some of the romantic scenes in the book, and Carolina talks about struggling to write those scenes    You can now subscribe to the podcast on Apple Podcasts, and leave me a five-star review. You can also ask for the podcast by name using Alexa, and find the pod on Stitcher, Spotify, and on Amazon Music. Follow Pete on IG, where he is @chillsatwillpodcast, or on Twitter, where he is @chillsatwillpo1. You can watch other episodes on YouTube-watch and subscribe to The Chills at Will Podcast Channel. Please subscribe to both the YouTube Channel and the podcast while you're checking out this episode.       Pete is very excited to have one or two podcast episodes per month featured on the website of Chicago Review of Books. The audio will be posted, along with a written interview culled from the audio. His conversation with Jeff Pearlman, a recent guest, is up soon at Chicago Review.     Sign up now for The Chills at Will Podcast Patreon: it can be found at patreon.com/chillsatwillpodcastpeterriehl      Check out the page that describes the benefits of a Patreon membership, including cool swag and bonus episodes. Thanks in advance for supporting Pete's one-man show, DIY podcast and extensive reading, research, editing, and promoting to keep this independent podcast pumping out high-quality content! This month's Patreon bonus episode features an exploration of formative and transformative writing for children, as Pete surveys wonderful writers on their own influences. Pete has added a $1 a month tier for “Well-Wishers” and Cheerleaders of the Show.     This is a passion project, a DIY operation, and Pete would love for your help in promoting what he's convinced is a unique and spirited look at an often-ignored art form.    The intro song for The Chills at Will Podcast is “Wind Down” (Instrumental Version), and the other song played on this episode was “Hoops” (Instrumental)” by Matt Weidauer, and both songs are used through ArchesAudio.com.     Please tune in for Episode 322 with Peter Orner, the author of eight books, most recently the novel, The Gossip Columnist's Daughter, named one of the best books of 2025 by the New Yorker and the Chicago Tribune, as well as the essay collections, Still No Word from You, a finalist for the PEN Award for the Art of the Essay, and Am I Alone Here?, a finalist for the National Book Critics Circle Award for Criticism.  The episode airs February 3, later in the day. Please go to ceasefiretoday.org, and/or https://act.uscpr.org/a/letaidin to call your congresspeople and demand an end to the forced famine and destruction of Gaza and the Gazan people.  

Hotel Mars Dr. Paul Kalas for Weds, Jan. Jn. 28, 2026, #4495Quick SummaryJohn Batchelor and I presented Professor Paul Kalas of the University of California at Berkeley, who discussed his groundbreaking observations of the Fomalhaut star system using the Hubble Space Telescope. Kalas explained how he discovered evidence of asteroid collisions creating massive dust clouds, which occur approximately every 100,000 years and last only 5-10 years. The discussion explored how planetary systems form through collisions between smaller objects, with Fomalhaut serving as a “time machine” to Earth's early history when similar collisions shaped our own solar system. The conversation concluded with a broader discussion about the uniqueness of our solar system and the ongoing search for Earth-like planets around other stars, with David Livingston and Dr. Space highlighting their show's focus on both space science and commercial space development.Detailed SummaryProfessor Paul Kalas from the University of California at Berkeley discussed his recent discovery using the Hubble Space Telescope of a star system called Fomalhut Dr. Pau, which is 25 light years away. He explained how they used techniques to cancel out the star's bright light and revealed the presence of dust belts and a planet with a ring system, initially thought to be similar to Saturn. However, a new point of light appeared in 2023, challenging their previous understanding of the system, as planets are not supposed to suddenly appear.Dr. Kalas discussed the formation of Earth and the moon, explaining that a collision with a Mars-sized object created the moon and that Earth was subject to frequent impacts during the Great Bombardment. He mentioned ongoing research into a debris belt around a star 25 million light years away, suggesting a planet might be responsible for the belt's structure. Our guest said his colleagues have imaged the star with the James Webb Space Telescope but have not yet detected any planets as large as Jupiter. He noted that smaller planets, like Uranus and Neptune, might exist but are beyond current detection limits.This was a one segment Hotel Mars program but after Dr. Kalas spoke, John talked with me about The Space Show, Hotel Mars and more. Continue listening for this short discussion.Special thanks to our sponsors:American Institute of Aeronautics and Astronautics, Helix Space in Luxembourg, Celestis Memorial Spaceflights, Astrox Corporation, Dr. Haym Benaroya of Rutgers University, The Space Settlement Progress Blog by John Jossy, The Atlantis Project, and Artless EntertainmentOur Toll Free Line for Live Broadcasts: 1-866-687-7223 (Not in service at this time)For real time program participation, email Dr. Space at: drspace@thespaceshow.com for instructions and access.The Space Show is a non-profit 501C3 through its parent, One Giant Leap Foundation, Inc. To donate via Pay Pal, use:To donate with Zelle, use the email address: david@onegiantleapfoundation.org.If you prefer donating with a check, please make the check payable to One Giant Leap Foundation and mail to:One Giant Leap Foundation, 11035 Lavender Hill Drive Ste. 160-306 Las Vegas, NV 89135Upcoming Programs:Broadcast 4498: Zoom Dr. Greg Autry | Tuesday 03 Feb 2026 700PM PTGuests: Dr. Greg AutryZoom: Dr. Autry on policy, economics, commercial and space missions/projectsBroadcast 4499 Hotel Mars TBD | Wednesday 04 Feb 2026 930AM PTGuests: John Batchelor, Dr. David LivingstonHotel Mars TBDBroadcast 4500: Zoom Overview Energy with Dr. Paul Jaffe | Friday 06 Feb 2026 930AM PTGuests: Dr. Paul JaffeZoom: Dr. Jaffe with others talks about Overview EnergyBroadcast 4501 Zoom Dr. Scott Solomon | Sunday 08 Feb 2026 1200PM PTGuests: Dr. Scott SolomonZoom: Settlement, humans in space, reproduction and more Get full access to The Space Show-One Giant Leap Foundation at doctorspace.substack.com/subscribe

Dr. Dave Jackson is Professor of Plant Genetics at Cold Spring Harbor Laboratory. Dave is driven to understand what makes plants grow and why various types of plants look different from each other. His research examines how genes control plant shapes, including investigations into the role of genetics and stem cells. The long-term goal is to turn this foundational knowledge into tools that can improve agriculture. Outside the lab, Dave works to keep a healthy balance by getting outdoors to go hiking, backpacking, and camping. He also dedicates time to art and music, which are abundant in New York City. Dave loves supporting emerging artists and musicians, particularly bio-art and jazz music. Artistic creativity is a lot like the creative process in science. He's especially excited by how artists can translate scientific ideas into forms that feel more accessible and inviting to the public. He obtained his bachelor's degree in biotechnology from the University of Leeds and was awarded his PhD from the John Innes Institute. Afterwards, Dave conducted research as a NATO and USDA Postdoctoral Fellow at the Plant Gene Expression Center in Berkeley, CA, before joining the faculty at Cold Spring Harbor Laboratory in 1997. He was elected as a Fellow of the American Association for the Advancement of Science (AAAS) in 2018. In our interview, Dave shares more about his life and science.

Dr. Kari Johnstone joins Dr. Sandie Morgan as they discuss how traffickers adapt fast, moving money, victims, and exploitation through digital systems most of us interact with every day, examining whether our institutions are adapting fast enough to protect victims without them risking everything to testify.Dr. Kari JohnstoneDr. Kari Johnstone is the OSCE Special Representative and Co-ordinator for Combating Trafficking in Human Beings, representing the Organization for Security and Co-operation in Europe at the political level on human trafficking issues and coordinating anti-trafficking efforts across the OSCE region. Before joining the OSCE, Dr. Johnstone spent nearly a decade (2014-2023) as Senior Official, Acting Director, and Principal Deputy Director of the U.S. Department of State's Office to Monitor and Combat Trafficking in Persons (J/TIP), where she advised senior leadership on global trafficking policy and programming and oversaw the annual Trafficking in Persons Report. Her extensive U.S. government service also includes senior roles in the Bureau of Democracy, Human Rights, and Labor. Dr. Johnstone holds a B.A. from the University of Michigan and a Ph.D. in Political Science from the University of California, Berkeley.Key PointsThe OSCE survey revealed a 17-fold increase in forced criminality cases over five years across the 57 member states, making it the fastest growing form of human trafficking globally.Forced scamming, which originated in Southeast Asia, is now being exported to other regions as criminals adopt this lucrative business model that exploits victims with brutal tactics to defraud others.Technology and artificial intelligence present both challenges and opportunities in combating trafficking, allowing law enforcement to process data more quickly to find victims and perpetrators while also being misused by traffickers for recruitment and exploitation.Financial intelligence and following the money can supplement or even replace victim testimony in prosecutions, reducing the burden on survivors and providing effective pathways to convict traffickers.The non-punishment principle remains woefully inadequate in practice worldwide, with victims often arrested, prosecuted, and convicted for crimes directly related to their trafficking experience, creating lifelong consequences that prevent access to housing, employment, and stability.The United States leads globally on criminal record relief for trafficking survivors, with 48-49 states having vacature or expungement laws and new federal legislation (Trafficking Survivor Relief Act) awaiting presidential signature, though much work remains worldwide.Victim assistance must be unlinked from the criminal justice process, allowing survivors to receive care and services first before deciding whether to cooperate with law enforcement, which actually increases the likelihood they will come forward and participate.The demographics of trafficking victims are shifting beyond stereotypes, with forced scamming targeting educated individuals with IT and language skills, while forced criminality increasingly exploits younger children, including those under age 10, for drug-related crimes and violence.ResourcesOrganization for Security and Co-operation in Europe (OSCE)OSCE Office of the Special Representative and Co-ordinator for Combating Trafficking in Human BeingsProtocol to Prevent, Suppress and Punish Trafficking in Persons (UN Palermo Protocol)UN Global Plan of Action to Combat Trafficking in PersonsU.S. State Department Office to Monitor and Combat Trafficking in PersonsTrafficking in Persons ReportTrafficking Survivors Relief ActEnding Human Trafficking PodcastTranscriptTranscript will be here when available.

Stickers are everywhere. They label our groceries, cover our car bumpers, and decorate our notebooks. But how do they stick? We’ll zoom in on a sticker to see how a special glue helps a sticker cling to a surface. Plus, we’ll hear about stickers that can help people heal from surgeries. We’ll also find out what kind of stickers Bob collects, and guess a new Mystery Sound. Guest: Phillip Messersmith, professor of material science and engineering at the University of California, Berkeley. Want to support Brains On and all of the shows in the Brains On Universe? Sign up for Smarty Pass. You'll get ad-free episodes of all our shows, bonus content, virtual hangouts, discounts on merch and more! Click here for a transcript of this episode.See omnystudio.com/listener for privacy information.

What if the real key to scaling your business isn't a revolutionary product, but your ability to build a culture where “weirdness” is an asset and radical respect transforms politics into partnership? In this electric episode, Cameron Herold sits down with John McDonald, Chief Operating Officer at Poshmark, to unpack how one of the world's most beloved marketplaces keeps growing in spite of Goliath competitors and shifting markets.Together, they reveal why most leaders get core values wrong, how Poshmark keeps small sellers winning (not just the giants), and what it truly takes to expand internationally without derailing your DNA. John's stories are real, the lessons are battle-tested, and you won't find a paint-by-numbers playbook here—only hard-won insights and rare candor from inside the trenches.Don't wait. Listen now to avoid building a company that stalls at “good enough,” or tears itself apart scaling fast. This episode unveils systems, strategies, and human truths you won't hear anywhere else.Timestamped Highlights[00:00] – Why this “fan favorite” episode is back and the lesson it delivers for every second-in-command[02:20] – What Harvard Business School actually teaches about decision-making in chaos[05:28] – Unmasking Poshmark's origin: Why the human touch, not tech, is their unfair advantage[09:00] – The $1,000 sneaker flip… and how Poshmark makes money (no nickel-and-diming)[13:24] – What really changes when you grow from 35 to 400+ people (and where companies go wrong)[19:41] – How they killed company politics and the “respect” system that keeps silos from forming[23:04] – Are your “core values” just words? The surprising reason Poshmark's work (and most don't)[28:37] – How Poshmark protects small sellers—and why giving back unlocks explosive growth[33:57] – The dangerous moment for org charts: when matrix thinking becomes non-negotiable[40:55] – Why learning to listen is the hardest (and most critical) leadership skill for COOsAbout the GuestJohn McDonald is the Chief Operating Officer of Poshmark, a leading social commerce platform revolutionizing how the next generation shops and sells. With a deep background in marketplace management (including eight years at eBay), John's powered Poshmark's exponential growth and built culture-first teams that thrive. He's a Harvard MBA, an operations architect, and a fierce advocate for scaling with love and discipline.