Podcasts about creatively

In the 192nd episode of Kitces and Carl, Michael Kitces and client communication expert Carl Richards discuss how advisors can stay creative without losing sight of the business side of things. For full show notes, see kitces.com and thesocietyofadvice.com.

We are in desperate need of good, courageous people. Can you fill that need?

Episode 561: Creatively Involved | Mandalorian and Grogu Review – Dark Wizard and The Boroughs   Episode 561: Mandalorian and Grogu Review – Tyler starts off the episode by discussing the new docu-series The Dark Wizard! Pat shares his thoughts on the new Netflix series The Boroughs. Tyler leads the discussion of the latest "Nerd News"...including the Vought Rising trailer! The Nerds review the new Star Wars film Mandalorian and Grogu! They end the episode with a "Nerd Favorite"...favorite Star Wars alien species?   Timestamps:   What we are Into: 6:45-30:50    Nerd News: 30:50-38:40    Mandalorian and Grogu Review: 38:40-1:04   Nerd Favorite: 1:04

The Portland Fire got their first win in theatrical fashion, Olivia Miles is shining early for the Minnesota Lynx, the Phoenix Mercury has some international flavor, and more with Helen Williams and Richard Cohen.HerHoopStats.com: Unlocking better insight about the women's game.The Her Hoop Stats Newsletter: https://herhoopstats.substack.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What if you don't have to be “good at art” to work creatively as a therapist?In this week's episode of the Good Enough Counsellors podcast, I'm joined by counsellor, developer and all-round creative thinker Yasmin Shaheen-Zaffar to talk about using creativity in therapy sessions, both online and face to face.Yasmin is one of those people who is always creating ideas, tools and resources, and we explore how her neurodivergence, technical background and passion for emotional regulation have shaped the way she works with clients.We talk about:why many therapists don't think of themselves as creativehow creative approaches can help clients express themselves differentlyusing creative tools in online sessions without it feeling clunky or awkwardemotional regulation, rejection sensitivity and neurodivergencethe fear therapists often have around visibility and being judgedhow creativity can make psycho-education feel more accessible and engagingwhy playful doesn't have to mean childishand why some ideas need time to develop and “simmer”Yasmin also shares some of the interactive resources she's developed for therapists and clients, including her “Sandwich of Capacity” tool inspired by the Window of Tolerance.You can find out more about Yasmin and use her resources HEREAnd if you'd like support growing your own private practice, you can find out more about my webinars and training HERESetting up in private practice? Download my free checklist HERENeed ideas for how to get clients? Download my free handout 21 Ways for Counsellors to Attract New Clients HEREYou can also find me here:The Good Enough Counsellors Facebook GroupJosephine Hughes on FacebookJosephine Hughes on YouTubeMy website: josephinehughes.comKeywords: creativity in therapy, neurodivergent counselling techniques, creative tools for therapists, online therapy resources, therapy techniques for neurodivergent clients, integrating creativity in sessions, therapist visibility and marketing, building a creative practice, resources for therapists, psychological tools for emotional regulation, playful therapy activities, using art in counseling, overcoming therapist self-doubtThe information contained in Good Enough Counsellors is provided for information purposes only. The contents of this podcast are not intended to amount to advice and you should not rely on any of the contents of this podcast. Professional advice should be obtained before taking or refraining from taking any action as a result of the contents of this podcast.Josephine Hughes disclaims all liability and responsibility arising from any reliance placed on any of the contents of this podcast.

What would you say makes something satisfying for you? How do you recognise that you're satisfied? It's not always easy to answer those questions. It's something I've explored a lot over the past few years, both personally and in conversations with others who feel caught in a tug-of-war between doing what they feel they ought to do and what actually brings them an intrinsic sense of satisfaction. If you're trying to make creativity part of your life in some way, it can be difficult to balance sustainability and intrinsic satisfaction. We may hand it over to external measures and signals, such as numbers, praise, and money. Because they're easier to measure, we often associate satisfaction with outcomes and goals. But if our actions are only motivated by those kinds of extrinsic metrics, especially when they're personally pretty meaningless, we can end up feeling disconnected from what we're doing. One of the things I've really enjoyed in my work with people is helping peel back the layers of story that can build up like a fog and identifying their own unique signals of satisfaction shining through it. When we recognise these things, we can develop greater confidence in our creative voice and follow a more meaningful pathway through our projects and lives. https://www.youtube.com/watch?v=c6uaYjKFVKU Satisfaction in the process What brings you satisfaction in the process? What brings you glimmers of connection along the way? When you've enjoyed the journey towards an outcome in the past, what made it meaningful for you? Maybe it was working alongside other people and feeling a sense of camaraderie. Perhaps it was figuring things out, solving problems, or seeing things come together that you couldn't have foreseen before you started. Satisfaction with the response What brings you satisfaction in the response? What kinds of responses give you a sense that your effort was worthwhile? Maybe it's when you realise someone gets it. Perhaps it's feeling seen and appreciated for the care you've put into something. Maybe it's when people tell others about it, or it might be receiving some form of reward or recognition. I always remember someone coming up to me after I played a gig to an almost empty room, saying they had almost decided not to come, but were really glad they did. They said, “There's nowhere else in the world I would rather have been this evening.” That stuck with me. Of course, it's nice to play to bigger crowds. But moments like that changed how I think about satisfaction. Some of my favourite memories come from small shows that might look like failures on paper but felt deeply meaningful once I moved beyond judging everything by numbers and vanity metrics. Satisfaction with the impact What brings you satisfaction in the impact? When you see something you've done making ripples in the world around you, what gives you a sense of satisfaction? Maybe it's seeing people follow your example and pay something forward. Perhaps it's seeing someone change in some way because of your effort. Or maybe it's simply knowing that your work brings more curiosity, laughter, appreciation, understanding, or joy into the world. I find it deeply meaningful when I hear from people about how my music has helped them. Knowing that a song has helped someone through a challenging time in their life feels very satisfying. It can’t be forced, though. Part of that satisfaction comes from the surprise of receiving messages from people, which is why I choose to keep the doorways for communication open. Satisfaction with the result When the endeavour is complete, what gives you that feeling of satisfaction? Maybe it's the money. Perhaps it's holding the finished thing in your hand. Maybe it's seeing it out there in the world. Or finally being able to let go and move on. Knowing it's done, it's complete, it exists. How do you know when you're satisfied? What does it feel like in your body? Between The External and Internal Locus of Evaluation The psychologist Carl Rogers drew a distinction between an external locus of evaluation and an internal locus of evaluation. An external locus might mean waiting for applause, approval, or recognition before allowing yourself to feel satisfied. An internal locus is more about trusting your own felt sense of meaning and alignment, even if nobody else fully gets or appreciates it. When we rely exclusively on external evaluation, we can become trapped in the tug-of-war between what we genuinely connect with and what others validate. We end up waiting for permission to feel satisfied. We might also avoid speaking up about things people don’t want to hear, and shrink back from doing things we anticipate will be criticised, even when they are important to our deeper values and principles. An internal locus helps us stay connected to satisfaction on our own terms. It reminds us that even if the ideal response never comes, there may still be good reasons to feel deeply satisfied with what we've done. Internally oriented satisfaction taps into the felt sense that we've done the right thing, even if others disagree. At the start of a project or endeavour, it can help to ask: Why does this matter to me, regardless of how others respond to it? Much of this can't be forced or manipulated. But it helps to become more aware of the small, slow things that give us intrinsic satisfaction, because it then becomes much easier to recognise them when they appear. It also helps us filter opportunities and invitations. We begin to recognise whether something genuinely aligns with what we find satisfying, or whether it's mostly a vanity metric or a hollow signifier of success. And from there, we can start making more informed decisions about what's actually worth saying yes to. Does any of this feel alive for you right now? Drop me a message of book a Pick The Lock call if you would find it useful to explore with someone else.

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You've seen her hair and nails... now hear about her packs and shoes! We've got Sierra DeGroff on the podcast today chatting about her experiences at looped courses, competing for the 100K national team, and ordering custom gear for her adventures. Sierra shares about her transition from road marathons to trail ultras, her experiences building community, training and racing in Las Vegas, and her upcoming adventures, including Denali. She offers insights into race planning, shoe selection, pacing strategies, and balancing a busy schedule with recovery and health.Sierra moved to Las Vegas years ago, and struggled to find community so she started a run club... and met a fellow runner visiting from Boston the day we recorded. Vegas has perks for runners: no humidity, mild winters, and endless opportunities for adventure. You can even plan your outfits as carefully as your  training runs! If you're curious to hear what it's like to compete in timed events, pace elites at Golden Ticket races, compete for a spot on the 100k national team, how to order your custom vest or where to meet for a run if you find yourself in Vegas midweek... tune in today!#TrailRunning #LasVegasRunning #RunningCommunity #AdventureAwaitsFollow Sierra on Instagram⁠⁠ ⁠Badwater to Whitney FKT Vegas Heat Running GroupExotic Pack CoAravaipa Racing Team 100K National TeamVegas Heat Strava club Timestamps:01:37 - Connecting with local Vegas runners and community02:14 - Sierra's move from Midwest to Vegas03:43 - Living in Vegas, weather, and trail access05:08 - Insights into her running year, recent races, and course records08:42 - Race tactics and gear choices at Jackpot 50 miles10:10 - Race plans for Badwater, Western States, and Denali11:43 - Sierra's custom race gear and packs with Exotic Pacco15:02 - Race outfit coordination for Jackpot and Western States16:17 - Western States preparation and challenges18:33 - Upcoming race plans, permits, and Alaska adventures21:02 - Decision process for Denali versus Badwater and other bucket list races23:32 - Her travel plans post-Denali, including Alaska and in-race logistics26:33 - Maintaining pace and training in mountain versus road ultras28:16 - Race support, pacing, and community crew dynamics31:57 - How crews are chosen and maintaining team chemistry35:42 - Creatively designed gear, custom packs, and their significance43:39 - Strategy behind gear selection and apparel for performance and style45:21 - Footwear preferences, shoe brands, and injury prevention48:27 - Toenail care, race decisions, and recovery tips50:56 - Western States experiences, crew support, and reflections57:07 - The camaraderie and competition in trail and ultra running60:37 - International race ambitions62:00 - Balancing travel, adventure, and race goals in life63:32 - Candid thoughts on multiday ultras65:43 - Recovery process, training smarter, aging, and maintenance routines67:24 - The importance of investing in health, PT, massage, and wellness70:12 - Upcoming race and permit plans72:45 - Advice for runners starting out and stepping into the ultrarunning community

Mike Scanlon of the Axon Group returns to share his personal real estate journey with several insights on how he has reached his success! Mike starts by discussing his background prior to real estate and then jumps into his first property acquisition which was a rent-by-the-room condo house hack! He shares how he got gritty and creative to finance and acquire a pair of distressed properties in University Park. Mike breaks down how he identified value and got a down payment to purchase a prime 3-unit house hack in Lakeview! He explains how he grinded to build his real estate brokerage business and used commissions to fund his portfolio. Mike closes the show with how his investment strategy has shifted and with Chicago neighborhoods that he's extra bullish on! If you enjoy today's episode, please leave us a review and share with someone who may also find value in this content! ============= Connect with Mark and Tom: StraightUpChicagoInvestor.com Email the Show: StraightUpChicagoInvestor@gmail.com Properties for Sale on the North Side?  We want to buy them. Email: StraightUpChicagoInvestor@gmail.com Have a vacancy? We can place your next tenant and give you back 30-40 hours of your time. Learn more: GCRealtyInc.com/tenant-placement Has Property Mgmt become an opportunity cost for you? Let us lower your risk and give you your time back to grow. Learn more: GCRealtyinc.com ============= Guest: Mike Scanlon, The Axon Group Link: Mike's Instagram Link: The Axon Group Instagram Link: SUCI Ep 427 - 2026 Predictions with the Axon Group Link: SUCI Ep 398 - Paul de Luca Link: Never Split the Difference (Book Recommendation) Guest Questions:  01:50 Housing Provider Tip - Consider offering tenants a valuable unit improvement when enforcing large rent increases. 03:23 Intro to our guest, Mike Scanlon! 10:17 Mike's start in real estate. 17:25 How Mike acquired his second deal. 23:45 Buying a prime 3-unit in Lakeview! 32:49 Building a pipeline of leads as a real estate broker. 37:16 A creative 8-unit deal in Melrose Park! 43:27 Mike's shift in investment strategy. 49:01 Up and coming Chicago neighborhoods! 50:25 What is your competitive advantage? 52:15 One piece of advice for new investors. 54:01 What do you do for fun? 55:23 Good book, podcast, or self development activity that you would recommend?  56:38 Local Network Recommendation?  57:33 How can the listeners learn more about you and provide value to you? ----------------- Production House: Flint Stone Media Copyright of Straight Up Chicago Investor 2026.

Have you ever felt stuck or creatively blocked in your business? Or have you been in the middle of launching something and it just felt off but you couldn't figure out why? In today's episode, I'm sharing how that happened to me recently and what you can do to get unstuck if you're feeling stuck! We'll talk about:8 strategies for getting unstuckHow getting outside can be the most powerful thing to doThe beauty of connecting with others to fuel your creativity When to move forward with your plan or scrap it entirelyHow to make things easy & funI'm giving away 2 free spots in my group coaching program, The Dream Biz Playground! Apply here: https://forms.gle/DKJdqhwLzeLXDmGJA

Ever feel like you're just… not creative?Like creativity is something other people have—but not you?In this episode of Magic Made, we're breaking that belief wide open.Because the truth is… creativity isn't something you're born with or without—it's something you remember, reconnect with, and trust.Megan dives into:Why creativity is more than art (it's how you live your life)How trusting the process changes everythingThe real reason you feel stuck creativelyHow play, curiosity, and self-expression unlock your next levelSimple ways to start tapping into your creativity todayThis episode is your reminder that the most creative version of you?She's already in there—just waiting to be uncovered.So if you've been overthinking, playing small, or waiting until you feel “ready”… this is your sign to start now.✨ Let's peel back the layers and let your creativity rip.If this resonated, please subscribe for weekly confidence coaching and creative branding energy (& hit the

He's back! Writer of over 25,000 songs Matt Farley joins the boys today to talk their upcoming New Hampshire gig on Mother's Day, and ponder over larger questions regarding the music biz. Thomas warms up the discussion with an ode to Prefab Sprout. https://moternmedia.com   Thin Lear's new album "Many Disappeared" releases this week! And the LMO boys are back on tour! Dates at https://www.thinlear.com/    https://www.niagaramoonmusic.com/   Bluesky IG Tiktok

creative block • how to get creativity back • creativity and intuition • overthinking and creativity • hypnosis for creativity //  PATREON  + GROUP HYPNOSIS Seer Sessions: Stories & Sessions: https://www.patreon.com/cw/JinaSeerCreativity doesn't disappear. It gets blocked.This episode of Seer Sessions explores creative block, a common experience for people dealing with overthinking, stress, and feeling disconnected from their ideas, intuition, and motivation.In this episode, I cover:• why creativity feels like it “goes away”• how nervous system stress shuts down inspiration• how overthinking and comparison block creative flow• why creativity and intuition are deeply connected• how hypnosis helps restore access to ideas and inspirationThis episode is especially helpful for listeners who feel creatively blocked, or unsure how to reconnect with their inspiration and direction.Also in this episode: a preview of April's guided hypnosis journeys to help you restore creative flow, reconnect with your voice, and access your inner direction again.A little reminder: creativity isn't something you earn or have. It's something you allow.SEER SESSIONS offers guided hypnosis and clarity practices for overthinking, anxiety without a clear cause, emotional exhaustion, and intuitive decision-making.

State of the Bay examines a U.S. Supreme Court case that could reshape how mail-in ballots are counted, continues our series on the race to succeed Nancy Pelosi with candidate Marie Hurabiell, and hears from the artists behind the podcast "Creatively Shaded."

Creatively juiced by the wet-mulleted beefcakes of production team Full Force, Lisa Lisa & Cult Jam continued to pump the coffers of the Freestyle genre they helped create with 1987's Spanish Fly - a solid urban dance album in a genre generally defined by singles.

There comes a point in your creative journey where you start to question everything. You're showing up, you're trying, you're taking steps but it still feels like something isn't quite clicking. I've been there. In fact, as I reflect on ten years of building United ArtSpace, I can see just how many times I felt like I was getting nowhere. And yet, those moments were shaping everything that came next. If you're feeling that nudge, that sense that there's more for you creatively even if you can't fully see it yet, this is your reminder not to ignore it. And if you're ready to explore that next step, I'd love you to join us for Kickstart Your Art!   KICKSTART YOUR ART We have a FREE 3-day LIVE online event to help you start creating work that feels fresh, exciting and truly yours. This event runs from 13th to 15th April. If you're feeling stuck, overwhelmed, unsure where to begin or craving something new in your art, this is for you. Click the link below to save your spot: https://unitedartspace.myflodesk.com/ksya  

Collaboration is often defined as two or more parties successfully working together on professional or artistic projects. It is more than cooperation. It is the developing of each other's ideas. Might we have ideas that are bigger than us? That somehow are incomplete yet crucial to the success of the concept? Are we willing to let go of our ideas and explore the power of collaboration through which God's Spirit can and does ignite passions and ideas never before thought of? Might our dreams be the catalyst for something bigger that can only be accomplished with others? What will God breathe into your spirit today as you listen for His dream for you? Is it to share your dream with another? Is it to trust God to protect what He's given you as you venture to share your passion with another?Daylight Meditations is a daily podcast from CFO North America. Please visit CFONorthAmerica.org to learn more about our retreats, and online courses. If you are encouraged by this podcast, please consider supporting us. Contributors: Michelle DeChant, Nancy Holland, and Adam Maddock

We are back with another episode of Mickey Marvel and More! In this episode, fan favorite  Zack, and Laura and I are going to sit down around the virtual table and have a big discussion all about Disney live action remakes of animated classics. Because it was a hit once, does that mean it will be a hit again? Creatively, is this a great idea for Disney? Grab a seat around the virtual table and join us for the chat, because this is our most heated debate yet! And as always, we have news from in and around the Disneyverse!News Stories:Pixar's HOPPERS Jumps to $88 Million Openinghttps://tinyurl.com/yhuazumaCouple Rents Out Guardians of the Galaxy: Cosmic Rewind for Weddinghttps://tinyurl.com/56f8nw8yFirst Ankole Calf Born at Walt Disney World in Over 20 Yearshttps://tinyurl.com/yfmw3th9About Us:My family and I have been enjoying the Disney theme parks and cruises for over 30 years and have been DVC members since 2013. Not trying to carbon date us, but we have also been around since the creation of the Star Wars universe and the Marvel one as well. What I am saying is that we have been lifelong fans of all things Disney, and we spend a lot of time around our family's table discussing a lot of these topics. Basically, the purpose of this podcast is to continue those discussions here and maybe bring you along for the ride.Email: mickeymarvelandmore@gmail.comFacebook: https://www.facebook.com/profile.php?id=61556208721543Instagram @mickeymarvelandmore: https://www.instagram.com/mickeymarvelandmore/X: https://x.com/Marvel_and_MoreSpotify: https://open.spotify.com/show/4wPOwNwUqOmQOtNiuni6gMApple: https://podcasts.apple.com/us/podcast/mickey-marvel-and-more/id1728888080Amazon Music: https://music.amazon.com/podcasts/e52f614e-2485-47b4-b463-8acaa3c6eadf/mickey-marvel-and-moreiHeartRadio: https://www.iheart.com/podcast/269-mickey-marvel-and-more-147327185/Youtube: https://www.youtube.com/@MickeyMarvelAndMoreCastbox: https://castbox.fm/ch/6015785RSS Feed: https://anchor.fm/s/f19475a4/podcast/rss

Have you ever felt creatively blocked and had no idea why? Lately, I found myself stuck on a project I knew I wanted to complete… and instead of forcing myself to push through it, I decided to ask a different question: Why am I actually blocked?In this solo episode, I share the breakthrough I had when I finally stopped beating myself up about procrastinating and started getting curious about what was really going on underneath the surface.What I discovered completely changed the way I think about creative blocks. Instead of seeing them as failures or signs that something is wrong, I started to realize they can actually be signals pointing us toward something important.In this episode, I walk you through the six most common reasons creatives get blocked and how asking yourself the right questions can help you move forward with more clarity, compassion, and momentum.If you've been putting off a creative project, feeling stuck, or wondering why something that matters so much to you suddenly feels hard to start, this episode is for you.In this episode, you'll learn:• Why creative blocks are often signals rather than failures• The six hidden reasons creatives get stuck• How past experiences can quietly create resistance to new projects• The difference between burnout and a creative block• The one question that can help you get unstuck

In this episode, we sit down with James Taylor to discuss his upcoming book, SuperCreativity: Accelerating Innovation in the Age of Artificial Intelligence, and why the future of success belongs not to lone geniuses, but to those who know how to collaborate creatively with both people and AI…  James is the host of the SuperCreativity podcast and global innovation summits, where he has interviewed more than 750 thought leaders, technologists, and authors shaping the future of creativity and technology. His clients include Fortune Global 500 companies, government policymakers, and leading industry associations across sectors such as technology, finance, healthcare, energy, and manufacturing.  Hit play to discover: Why approaching AI with curiosity is so important. How AI is transforming human creativity. Practical ways to collaborate with artificial intelligence. SuperCreativity is a practical field guide for leaders, professionals, and teams who want to solve complex problems, drive innovation, generate better ideas, and stay relevant in an AI-augmented world. The book is available on Amazon starting March 4, 2026. To follow along with James and his ongoing work, click here!

We talk all things Infernal Hulk, from why this era of Hulk is finally colliding with the wider Marvel Universe to how Johnson has reshaped Bruce Banner's world into a Southern Gothic monster epic rooted in Marvel lore. Along the way, we get into the X-Men crossover, the Living City, Dungeons of Doom, his new Marvel exclusive deal, and the bigger plans quietly building beneath the surface of his Hulk run. If you've been following Incredible Hulk or wondering where this whole infernal saga is heading, this is the conversation you'll want to hear. Visit our Patreon page to see the various tiers you can sign up for today to get in on the ground floor of AIPT Patreon. We hope to see you chatting with us on our Discord soon! NEWS Spider-Man, Hulk, and Punisher collide in Jonathan Hickman's new Marvel event series Bishop scores new solo miniseries starting June 2026 Marvel reveals new ‘Spider-Man/Superman' #1 covers and interior art too Venom Unleashed news! Exclusive: Read the full first issue of 'The Untamed' as Stranger Comics reveals Emerald City Comic Con exclusives Our Top Books of the Week: Dave: Amazing Spider-Man #23 (Joe Kelly, Ed McGuinness) Lands Unknown: The Skinless Man #1 (Ben Stenbeck) Chris:​​ Cult of the Lamb: Last Sacrament Special #1 (Alex Paknadel, Troy Little) Narco #1 (Doug Wagner, Daniel Hillyard) Standout KAPOW moment of the week: Chris: Cult of the Lamb: Last Sacrament Special #1 (Alex Paknadel, Troy Little) Dave: DC K.O. #5 (Scott Snyder, Javier Fernandez) TOP BOOKS FOR NEXT WEEK Chris: Tigress Island #1 (Patrick Kindlon, EPHK) Dave: Assorted Crisis Events #9 (Deniz Camp, Eric Zawadzki) JUDGING BY THE COVER JR. Dave: Absolute Batman #18 (TONS of retailer covers but going with Dexter Soy) Chris: Logan: Black, White & Blood #3 (Chris Campana Variant) Interview: Phillip Kennedy Johnson 1. On Horror as Hulk's Natural State With Infernal Hulk, you've fully repositioned Hulk as a horror icon rather than just a force of destruction. What makes horror such a natural lens for this character, and what aspects of Bruce and Hulk feel newly unlocked for you in that genre? 2. On Marvel Exclusivity & Timing You're now officially Marvel exclusive while also wrapping up Book of El at DC. Creatively, what does this moment represent for you? Does going exclusive feel like narrowing your focus, or opening up the sandbox in a bigger way? 3. On Bruce Without the Monster One of the smartest pivots in this run has been stripping Bruce away from the Hulk and forcing him to watch the consequences. What fascinates you most about Bruce when he's powerless and confronted with what the Hulk becomes without him? 4. On Writing Other Heroes Judging Bruce You've written the wider Marvel Universe reacting to Bruce in a way that feels tense, even cruel at times. Why was it important that the heroes not simply rally around him? 6. On the Living City Concept The Living City feels mythic, grotesque, and operatic all at once. What inspired that setting, and how important is it that Hulk's world now feels almost biblical in scope? 7. On INFERNAL HULK #7 and the X-Men In issue #7, Hulk exerts mysterious control over mutantkind and draws them into the Living City. That's a bold escalation. What makes the X-Men the right foil for this version of Hulk, and how does their connection to identity and mutation complicate what Eldest is doing? 7. You and Ben Percy are both playing in Marvel's darker corners right now, and “Dungeons of Doom” has that same horror-forward energy we're seeing in Infernal Hulk. What's it been like working alongside Ben in shaping that space, and how do you make sure your vision of horror and mythic stakes complements rather than overlaps with what he's building? 8. Fun Silly Question If Eldest decided to build the perfect army out of Marvel characters purely based on vibes, who would absolutely make the cut… and who would Eldest reject immediately for being “bad monster material”? 9. Any other projects you'd like to plug?

Pre-Order My New Book “Mysterious Things” and Help Us Spread the Word http://invisiblethings.co --- It is VERY easy to get off balance as a creative person because creativity is a delicate balance of many things. In this episode, we will explore 3 areas that require creative tension and how to diagnose where you may be off and need a pivot. SHOW NOTES: Del the Funky Homosapien https://en.wikipedia.org/wiki/Del_the_Funky_Homosapien Producer / Editor: Sophie Miller http://sophiemiller.coAudio Editing / Sound Design: Conner Jones http://pendingbeautiful.coSoundtrack / Theme Song: Yoni Wolf / WHY? http://whywithaquestionmark.comSpotify Playlist of WHY? Songs Used on This Podcast: https://open.spotify.com/playlist/4ZIE7PHG5I1Ddg1BuVGRzj?si=4x_BzDZjQgqSpoaLXdVACg&pi=h4HsIKG0SP6Kg Learn more about your ad choices. Visit megaphone.fm/adchoices

Questioning Everything Was Just the StartThis wasn't a planned episode. This was me hitting record because I couldn't keep carrying everything in my head.Lately, I've been tired. Not just physically. Mentally. Spiritually. Creatively. And it had me asking some uncomfortable questions. About the podcast. About my direction. About whether I'm burned out or just done.Somewhere in all of that, one question kept coming back up:What's my why? And maybe more importantly… is it even mine?In this episode, I talk through burnout, pressure, comparison, and the boxes we put ourselves in trying to be liked, understood, or validated. I don't have a neat answer. I'm not teaching a framework. I'm just being honest about what it feels like to realize the way you've been moving no longer fits.If you've ever felt disconnected from something you once loved, or stuck trying to live up to expectations that aren't really yours, this one's for you.No perfection. No polish. Just a real moment in the middle of a shift.It's About DAMN Time SegmentIt's about damn time I stop moving for everyone else and start defining my why for myself.D.A.M.N. ChallengeTake some time this week to discover or rediscover your why. Not the one that sounds good. Not the one that makes other people comfortable. The one that actually belongs to you.Write it down. Sit with it. Let it change if it needs to.

Narcissism/Living with a Narcissist / How to Get Rid of One With Guest Angie AtkinsonJournalist, author and certified life coach who also blogs and studies the science that is social media (and related focus areas) on an ongoing basis, among a variety of other passions.Creatively charged and organizationally different. Angie goes through the stages of a life with a narcissist.Watch Conversation Herehttps://www.youtube.com/watch?v=xsO9eTTTXQAListen Here on Spotify with B Rad and Angie on Spotifyhttps://open.spotify.com/episode/20bPiZV7Gq9e30YVWKd6NA?si=ix2NYR_xQrOVAuivC1AMow Follow B Rad Celebrity Hairstylist on Instagramhttps://www.instagram.com/bradcelebrityhairstylist

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

It's our Valentine's Day special, and we're not in the mood for any of your bullshit! In this episode: an unexpected love connection before the first break, "novelty" cake pops, really unpleasantly big conversation hearts, limp Pencils, "ladies and gentlemen, Cranberries Can Bounce are taking center stage in five minutes!", Bob Kowchanski presents us with another hilariously unhinged quiz ---------------------- Help us save the multiverse! Join our Discord server today!  https://discord.gg/vb2YAqHjMA  ---------------------- Join the Patreon!  https://www.patreon.com/c/multibuddies  ---------------------- https://tmasm.com YouTube: https://www.youtube.com/@TMAMultiverse   Podbean: https://storytimewithtomandmike.podbean.com   ---------------------- Songs from the Multiverse: https://www.youtube.com/playlist?list=PLQcalQzDVAr1FVJ0uVVMi11XESJpo2RKW   https://music.amazon.com/user-playlists/3e2645637ff4439d8c456a2279b008basune?ref=dm_sh_LxlNtOgSDWefrpg81jBaPakSz    

Episode Notes This week, the crew wraps up their 2025 Game of the Year series by debating a variety of award categories. Stay tuned until the end of the episode for the reveal of the Crossplay Conversations Top 10 Games of 2025! Find Timestamps for this Episode Below: 0:00 - Intro 2:50 - The Luke Lewis Chill Out With a Coffee on a Rainy Weekend Afternoon Award 25:11 - Hooper's Puzzle Paradise Award 41:51 - Claire's Creatively Cozy Award 57:40 - Best Music 1:12:05 - Best Visuals Technical 1:30:52 - Best Visual Art Direction 1:36:59 - Spoilers: The Drifter 1:37:45 - End of Spoilers: The Drifter 1:42:35 - Best Narrative 2:00:15 - Our Top 10 Games of 2025 Reveal Video 2:15:51 - Outro Find us on BlueSky for show updates and more: Podcast: @crossplayconvos.bsky.social Jacob: @jacob.bsky.social Luke: @lukewarmlewis.bsky.social Claire: @clairebearrose.bsky.social Joseph: @th3hoopman.bsky.social CantPause on Instagram Check out our other shows: Player Player Podcast   Left Behind Game Club The LukeWarmGames Podcast   Cutscenes: A Video Game Movie Podcast Video Game Trivia **

On the latest edition of This is Wrestling, Lee Versage and Zach McGibbon look at TNA's debut on AMC. The guys go through all the segments on the show including the main event of Frankie Kazarian and Mike Santana for the TNA Championship. Also discussed is the recently recirculating Top 20 WWE Wrestlers list from Sports Illustrated, and more! This is another edition of the show you do not want to miss!Questions for the show? Make sure to reach out at our social media or send in your question via email at ⁠⁠⁠versagelee@gmail.com⁠⁠⁠. Follow on social media:Twitter: @TIW_AudioFollow Zach on Twitter: @RawIsGibbyInstagram: @TIW_Audio Facebook: ⁠⁠⁠https://www.facebook.com/thisiswrestlingaudio Threads: @TIW_Audio

All Hail Unicron: Episode 109: Creatively Bankrupt with an extra Nipple INTRODUCTION Anybody Get Anything? Movie/Show News New Transformers Animated comic coming! https://news.tfw2005.com/2025/12/29/transformers-animated-mirror-mirror-comic-miniseries-first-look-553728 Third Party CT Toys Bayverse MP scale Prime https://news.tfw2005.com/2025/12/31/ct-toys-ct-10-super-leader-masterpiece-scale-bayverse-trilogy-optimus-prime-color-prototype-553771 What, you want MORE Bayverse MP scale Primes? Fine, Magnificent Mecha has you covered with their RoTF and DotM Primes https://news.tfw2005.com/2026/01/01/magnificent-mecha-mm-02a-2007-rotf-mm02b-dotm-optimus-prime-color-prototipes-553802 Dr Repaint hits us with some Sideswipe repaints and Deluxe Insecticons https://news.tfw2005.com/2026/01/02/dr-wu-dw-e68-gansters-dw-e69-rambo-micromaster-scale-early-draft-sweep-g2-sideswipe-color-sketches-553820 Dr Repaint is doing the Datsun brothers and regular Insecticons too (2 links) https://news.tfw2005.com/2026/01/04/dr-wu-dw-e47-smoke-dust-dw-e48-beetle-horn-micromaster-scale-smokescreen-bombshell-color-prototypes-554052 https://news.tfw2005.com/2026/01/04/dr-wu-dw-e45-silver-lightning-dw-e48-claw-worm-micromaster-scale-bluestreak-sharpnel-color-prototypes-554055 https://showzstore.com/drwu-dw-e43-patrolman-prowl-dw-e44-grasshopper-kickback-set-of-2_p6501.html Dr It's My News Week Battletrap reveal https://news.tfw2005.com/2026/01/07/dr-wu-dw-es02-trap-maker-micromaster-scale-battletrap-color-prototype-554273 Rising Force joins the retro WFC/FoC video game releases with their take on Fall of Cybertron Bruticus https://news.tfw2005.com/2026/01/02/rising-force-war-for-cybertron-combaticons-bruticus-prototypes-553826   Unique Toys is going back to the Bayverse with their take on an MP Age of Extinction Bumblebee https://news.tfw2005.com/2026/01/05/unique-toys-r-11-buzz-guardian-masterpiece-scale-aoe-bumblebee-color-prototype-554097 AotP Superion getting a little more super https://news.tfw2005.com/2026/01/06/dna-design-dk-77-upgrade-kit-for-age-of-the-primes-superion-554199 Big ol' sword add-on https://news.tfw2005.com/2026/01/09/dna-design-dk-69r-max-sword-upgrade-kit-554390 Official: Yolopark Stepper coming to BotCon https://news.tfw2005.com/2025/12/29/yolopark-amk-mini-autobot-ricochet-images-553738 Yolopark week continues with reformatting Megatron https://news.tfw2005.com/2025/12/30/yolopark-amk-mini-g1-transformers-wave-3-g1-megatron-clear-purple-version-official-promotional-video-553749 TRA(sh) Core Tiny Turbo Changers first look https://news.tfw2005.com/2026/01/03/tra-core-tiny-turbo-changers-first-look-553947 Transforming Autobot and Decepticon symbols coming? https://news.tfw2005.com/2026/01/04/transformers-autobot-decepticon-symbols-coming-554074 Missing Link Grimlock, MPG Hot Rod, and more coming from Takara (2 links) https://news.tfw2005.com/2026/01/05/new-takara-teasers-mpmn-sideswipes-ml-grimlock-mpg-hot-rod-more-554124 https://news.tfw2005.com/2026/01/09/takara-mpmn-sideswipes-missing-link-grimlock-mpg-hot-rod-new-legends-green-lio-convoy-full-images-554414 40th TF The Movie Anniversary Hot Rod preorders up and gone in a blink! But more preorders coming? (2 links) https://news.tfw2005.com/2026/01/06/transformers-more-than-meets-the-eye-collection-hot-rod-official-images-554168 https://news.tfw2005.com/2026/01/07/new-transformers-more-than-meets-the-eye-collection-pre-orders-coming-in-january-554255 Studio Series TF One Orion Pax https://news.tfw2005.com/2026/01/06/transformers-studio-series-a-level-deluxe-transformers-one-orion-pax-in-hand-images-554216 Bought the five pack just for Hound did ya? GOT 'EM! https://news.tfw2005.com/2026/01/08/studio-series-86-mtmte-collection-hound-first-look-554343 Human Centipede Dino edition 5-pack coming! https://news.tfw2005.comwd/2026/01/07/transformers-swapticons-dino-mission-5-pack-official-images-554261 Questions? Discussion: Email your questions to: Hailunicroncast@gmail.com    Special Shoutouts: Dustmightz for providing the beats for the theme song! Check the Realm of Collectors on Facebook! https://www.facebook.com/groups/realmofcollectors   Everyone who followed us from Shattered Cast Uncut, we are grateful to each and everyone of you for joining us on this journey!   Hosts: T2RX6 http://www.youtube.com/user/T2rx6 Rich “Preordered” H. Oscar Alonso https://www.youtube.com/user/oscarnjboy Robert Duyjuy-sabado-gigante

For Woven client, Abby, the experience of cycle charting provided far more insight than simple family planning. It opened up a whole new world of discovery as she recognized the role her reproductive hormones played in her emotional state and creative potential. After charting her cycles with the Creighton Model System, she began working with these natural rhythms instead of against them and her creative and personal endeavors came alive. As a professional dancer and athlete, she used to berate herself for having needs and strengths that morphed throughout her cycle. Now, she changed her perspective to honor them. I'm excited for you to hear more from Abby herself in this episode. Enjoy!NOTE: This episode is appropriate for all audiences.GUEST BIO: Abby is a Jesus follower and professional dancer. She serves as the Artistic Director of a Christian ballet company in Kansas City, Dramatic Truth Ballet Theatre. OTHER HELPFUL EPISODES:Ep. 28: When your body feels brokenEp. 134: Realistic Cycle Syncing for Every Woman, with Megan FallerSend us a textSupport the showOther great ways to connect with Woven Natural Fertility Care: Learn the Creighton Model System with us! Register here! Get our monthly newsletter: Get the updates! Chat about issues of fertility + faith: Substack Follow us on Instagram: @wovenfertility Watch our episodes on YouTube: @wovenfertility Love the content? The biggest gift you could give is to click a 5 star review and write why it was so meaningful! This podcast is provided for educational and informational purposes only and does not constitute providing medical advice or professional services. The information provided should not be used for diagnosing or treating a health problem or disease, and those seeking personal medical advice should consult with a licensed physician. Always seek the advice of your doctor or other qualified health provider regarding a medical condition. If you think you may have a medical emergency, call 911 or go to the nearest emergency room immediately. Neither Woven nor its staff, nor any contributor to this podcast, makes any represe...

Send us a text"Perhaps I must pick me up/ Perhaps I must carry me home gently." How do artists survive in a world gone mad? How can we find ways to hold space for ourselves and for others? Can our art really be a safe space for us to both fall apart and piece ourselves back together?In the first Journey of an Artist of 2026, Emmeline tackles these questions and more with one of DFW's most beloved poets, River. River shares how various art forms have served as coping mechanisms for her over the years--from her poetry to her visual art--and how creation is not only a response to, but an antidote to destruction. She also shares two poems from her beautiful book of poetry, Still River.To learn more about River, or to follow River's artistic journey, find her on Instagram. You can also grab any of her books at her next live show!For behind-the-scenes information and more about Journey of an Artist, visit the Journey of Series official webpage, or follow Emmeline on social media at @EmmelineMusic.

Ready to Work Creatively Whether Our Organization Likes It Or Not | Dare to Be Ready Live at #IMSH2026 Chris Roussin reacts to Tania Katan Keynote Lecture at #IMSH2026 on The Dare to Be Ready Podcast “You need to be different from the status quo to make change.” What does it mean to be called to innovate and work creatively in an organization that is ready and asking for it, versus in an organization that isn't? Some organizations have leadership that is passionate about quickly squashing creativity. How do we help people to create change and create readiness in a new way without it feeling like we're launching it at them from a consultant helicopter as we fly away? Some advice from the talk that verged away from rah-rah and into the practical that we really liked: 1) Think about a limitation that you have at work, and consider how that limitation could actually be an opportunity for you; 2) Say what your job title is and then imagine a job title more accurate and appropriate to what you do. More live reactions from Jenny Rudolph, Roxane Gardner, and Grace Ng coming in the next few days! #daretobeready #healthcaresimulation #medicine #nursing

As we step into a new year, this episode of The Happy Menopause explores what it really means to age creatively – and how we can rediscover joy, confidence and adventure as we grow older.I'm delighted to welcome back Jo Moseley, six years after she first shared her story of breaking down in a Tesco biscuit aisle during perimenopause - a moment that became the catalyst for a powerful midlife transformation. Since then, Jo has become the first woman to paddleboard coast-to-coast across England, written award-winning books, made short films and championed joyful, adventurous ageing.In this warm and inspiring conversation, we talk about the healing power of nature, the confidence that comes from gentle challenges, and why being a beginner can be one of the most liberating things we do in mid and later life. Jo also shares how the outdoors has supported her through grief, heartbreak and major life changes, and why small, consistent steps matter far more than big resolutions.If you're feeling overwhelmed, tired or stuck at the start of the year, this episode offers reassurance, perspective and practical inspiration. You don't need to be fearless or fit -just willing to begin, exactly where you are. If you're a fan of The Happy Menopause, please tell your friends and family about it, and make sure you click the follow or subscribe button on whichever platform you listen on to make sure you never miss an episode. It really does make a huge difference to the algorithms which influence the visibility of the podcast, so that more women can find the show. After all, every woman deserves to have a happy menopause. Check out the full Show Notes for this episode on my website www.well-well-well.co.uk/podcast, where you'll find all the relevant links and references for each guest. Learn how to build your own menopause diet to manage your symptoms with my book The Happy Menopause: Smart Nutrition to Help You Flourish. And if you're tired of feeling tired and grappling with brain fog, check out my new book: The Happy Menopause Guide to Energy; Nutrition to Rejuvenate Your Brain & Body. It's available in all the usual places.

If you've ever felt mentally exhausted, emotionally overwhelmed, or physically unwell despite doing everything “right,” this conversation will change how you understand burnout, productivity, and the signals your body is sending. In this episode, we explore the moment when high performance turns into self-abandonment—and why burnout isn't about weakness or laziness, but long-term misalignment. Burnout isn't just about working too much. It's about the beliefs underneath the work. My guest, Haley Scruggs, shares her breaking point—from severe burnout and panic to questioning her own sanity—and how her body ultimately forced her to listen. What looked like dysfunction was actually a signal calling her back into alignment. We talk about how ADHD, chronic stress, and the pressure to prove worth through productivity quietly rewire the nervous system—until the body speaks through anxiety, insomnia, migraines, digestive issues, and shutdown. This isn't a conversation about hacks or routines. It's about asking the question most people avoid: What do I actually need?

Antonio Sanchez has become one of the most sought-after drummers in the international jazz scene. Following 18 years and 9 albums as one of the most revered collaborators with guitarist/composer Pat Metheny, he also has recorded and performed with many other most prominent artists like Chick Corea, Gary Burton, Michael Brecker, Charlie Haden and Toots Thielemans. In 2014 Sanchez popularity soared when he scored Alejandro González Iñárritu's Birdman which ended up winning 4 Academy awards (including best picture) and for which Antonio won a Grammy award. He currently has many recordings as a leader and solo artist. Some recent recordings include Beatrio w/ Bela Fleck, Edmar Castaneda as well as his own group Migration. You can hear Anotino's masterful compositions and drumming on the award winning show The Studio on Apple TV In this episode, Antonio talks about  Why he calls Barcelona, Spain his home Creating a strong reputation The realities a seasoned pro has to contend with Antonio's journey into jazz and notoriety  Staying artistically and creatively curious  Using your own voice when making music Composing for the movie Birdman & the TV series The Studio Creating a counter culture to social media ⁠⁠⁠Here's our Patreon⁠⁠⁠ ⁠⁠⁠Here's our Youtube⁠⁠⁠ ⁠⁠⁠Here's our Homepage

For many client-facing financial advisors the word "retirement" stirs up strong, negative feelings. Rather than seeing retirement as an opportunity for creativity and to author a new, satisfying chapter of life many advisors find it difficult to think about retirement at all. In this fast paced conversation, Ken explores the origins of these feelings with Cara Grey founder of Third Act Consulting and considers how advisors can think (and act) differently about their own retirement. Also in this episode, the AllianceBernstein Digital Coach – see practice management solutions for advisor success: abfunds.com/go/digitalcoach DISCLAIMER Note to All Readers: The information contained here reflects the views of AllianceBernstein L.P. or its affiliates and sources it believes are reliable as of the date of this podcast. AllianceBernstein L.P. makes no representations or warranties concerning the accuracy of any data. There is no guarantee that any projection, forecast or opinion in this material will be realized. Past performance does not guarantee future results. The views expressed here may change at any time after the date of this podcast. This podcast is for informational purposes only and does not constitute investment advice. AllianceBernstein L.P. does not provide tax, legal or accounting advice. It does not take an investor's personal investment objectives or financial situation into account; investors should discuss their individual circumstances with appropriate professionals before making any decisions. This information should not be construed as sales or marketing material or an offer or solicitation for the purchase or sale of any financial instrument, product or service sponsored by AllianceBernstein or its affiliates.

Interview Date: July 14th, 2025Episode Summary:Eden Shabtai shares how a kid from a tiny Israeli kibbutz—obsessed with MTV and training in ballet and modern—willed her way into New York's scene and eventually L.A.'s major stages. She opens up about the unglamorous decade of artist development, underpaid gigs, and nonstop outreach that built the foundation for her “overnight” break assisting on Chris Brown's Loyal, leading to major award shows and TV. A six-month backpacking trip through India reshaped her idea of success, while the O-1 visa process taught ruthless persistence. Eden also speaks candidly about receiving an aggressive breast-cancer diagnosis while five months pregnant, undergoing chemo with cold-cap treatments, and protecting her peace by avoiding toxic workrooms.Creatively, Eden explains why she builds choreography live in the studio—feeding off dancers and music—and why energy, individuality, and attitude matter more than stacked résumés. Listeners will gain insight into using social media strategically, differences between NYC training and L.A. work volume, how to stand out in auditions (presence, styling, quick adjustments), and the mindset that sustains a career: humility, resilience, and community.Shownotes:(0:00) – Welcome and guest introduction(8:20) – Early roots: ballet, modern, MTV influence(13:53) – India trip reframes success and happiness(15:24) – Visa grind: persistence, evidence, good lawyer(18:53) – Moving to L.A.: training vs. booking realities(21:08) – Breakthrough: assisting on “Loyal”(26:44) – Favorite projects: BET 2014, Fleur East(29:31) – Cancer while pregnant: resilience and boundaries(42:05) – Creative process: energy-first choreography(51:19) – What makes dancers stand outBiography:Originally from a kibbutz in northern Israel, Eden began training in ballet and modern at age 7. With no formal hip-hop classes available at the time, she learned by watching MTV. Determined to pursue dance professionally, she left home at 16 to study at a specialized dance school. After serving in the IDF, she spent six transformative months traveling India before moving to New York City to chase her dream.In NYC, Eden trained at Broadway Dance Center and quickly became a sought-after teacher for over 150 young students while choreographing for up-and-coming artists. Realizing her long-term goals required a move west, she relocated to Los Angeles in 2010.Since then, Eden has worked across NBC, ABC, BET, FOX, CBS, VH1, CW, and MTV. Her credits include the VMAs, Grammys, Billboard Awards, Dancing with the Stars, iHeart Radio Awards, BET Awards, Soul Train Awards, X Factor, The Ellen Show, James Corden, American Idol, Jimmy Kimmel, Jimmy Fallon, and more. She has choreographed campaigns for Hasbro, Office Max, Office Depot, HEB, and Clark's.Eden has worked with artists including Chris Brown, Ariana Grande, Demi Lovato, Pitbull, Ava Max, Jason Derulo, Enrique Iglesias, Jamie Foxx, Ne-Yo, Lil Wayne, Marc Anthony, Flo-Rida, Brandy, Omarion, Miguel, Pia Mia, Little Mix, Sevyn Streeter, No Doubt, Snoop Dogg, Kehlani, Janelle Monáe, Fleur East, Priyanka Chopra, Machine Gun Kelly, Tinashe, WizKid, Serayah, DJ Snake, Hardwell, YungBlud, Jack & Jack, and many more.In 2017 Eden served as a Judge/Mentor on a new Israeli dance competition series, where she became the winning mentor. Today she works as a choreographer, artistic director, artist developer, and consultant—living by her belief that with hard work, mental strength, and determination, anything is possible.Connect:Instagram – https://www.instagram.com/theedengarden/Website – https://edenshabtai.com/

Behind every successful property turnaround is a set of choices that shape the outcome. In this solo episode of the Real Estate Investor Podcast, Gary Lipsky walks listeners through a detailed case study of Icon on Spanish Trail, the 256-unit Tucson property he acquired in December 2023. He explains why the deal stood out (an institutional-quality asset purchased at a discount during a period of low transaction volume) and how his team crafted a business plan centered on water savings, staff optimization, and cost-effective upgrades. Gary breaks down the improvements that delivered the biggest impact, from high-efficiency plumbing fixtures and privacy fences to selective painting and smart amenity additions. He also shares the early challenges, including occupancy dips and renovation difficulties, and how focusing on controllables helped stabilize the asset and lift NOI (Net Operating Income) by 36% in the first year. Tune in for a transparent look at the wins, struggles, and strategic pivots behind this value-add execution!Key Points From This Episode:Why Gary chose to spotlight Icon on Spanish Trail as a case study.How limited deal flow in Tucson in 2023 created a rare buying opportunity.What was appealing about the deal: scale, quality, and discounted pricing.An overview of the business plan's focus on water savings and operational efficiencies.Targeted upgrades, including low-flow fixtures and privacy fences.Selective repainting and amenity improvements to enhance the property.How cost controls and efficiencies lifted NOI by more than 36% in year one.Navigating early struggles with occupancy and constraints on pushing rents.Capital-raising challenges due to tight liquidity and investor uncertainty.Washer-dryer additions as a controllable income-generating upgrade.Refinancing the property to lower-rate debt and greater savings.Community-building as a driver of retention and resident satisfaction.Gary's key lessons for focusing on controllables, efficiency, and stability.Current investment opportunities, from Class A and C options to Icon on Headley.Links Mentioned in Today's Episode:Icon on Spanish TrailIcon on HeadleyEmail Andy Huang, Investor Relations ManagerAndy Huang on LinkedInAsset Management Mastery Facebook GroupInvest SmartBreak of Day CapitalBreak of Day Capital InstagramBreak of Day Capital YouTubeGary Lipsky on LinkedIn

Unlock the secrets to powerful storytelling and effective leadership with bestselling author and book coach Stacy Ennis! In this inspiring conversation, Stacy shares her journey from a young lover of books to ghostwriting for a Nobel Prize winner and empowering global leaders to harness the power of their stories.Discover why storytelling isn't just a tool for writers but a crucial skill for every leader, how to balance vulnerability with professionalism, and why EVERYONE has a story worth telling. Stacy also explores practical tips for building creativity, overcoming self-doubt, and using books as sustainable business tools.If you're an aspiring author, leader, or anyone passionate about personal growth and communication, this episode is packed with wisdom and actionable tips to help you share your story with the world!

End of year. Time to reinvent yourself. Sometimes tweaking what you've got just doesn't cut it. Sometimes you need to blow it up and start fresh. I call it creative destruction. This episode digs into why waiting for perfect alignment keeps you stuck. You're tired because you're not inspired. And why your current activity might be completely incompatible with your future self. Ready to stop patching and start building? This conversation gives you permission to make radical changes. No apologies needed. Featured Story I was sitting with a client who looked defeated. Completely stuck. He kept saying he was trying to figure out how to become his future self. But everything he was doing today just wouldn't get him there. He thought he could figure it out. I gave him the shortcut. Ditch it. Do something else. The relief on his face was instant. He didn't need my solution. He needed permission to walk away from what obviously wasn't working so he could figure out what would. That's creative destruction. Not giving up. Clearing space for what's next. Important Points Your current activity might be completely incompatible with your future self, and that's okay. Waiting for stars to align before making a move is exhausting and impossible. Sometimes you can't upgrade what you've got—you have to tear it down first. Memorable Quotes "The reason you're tired is because you're not inspired." "Sometimes you can't go over. Sometimes you can't go around. Sometimes you can't go under. Sometimes you're completely trapped. The only thing you do is blow it up." "Don't worry about what anybody else thinks. You know why? Because as soon as you do it, they're going to say, what took you so long?" Scott's Three-Step Approach Give yourself permission that everything might need to change—not just minor adjustments, but radical shifts in direction. Stop trying to upgrade what's fundamentally broken or incompatible with where you want to go. Embrace the scary moment of decision, then act—everything changes the second you commit to blowing it up. Chapter Notes 0:00 - New theme song and big YouTube announcement coming 1:01 - When your current self can't become your future self 2:55 - How creative destruction actually works in real life 4:39 - Give yourself grace to make radical changes this year 6:15 - Stop patching and painting what needs replacing 7:12 - The obstacle is the way: sometimes you blow it up Connect With Me Search for the Daily Boost on YouTube, Apple Podcasts, and Spotify Email: support@motivationtomove.com Main Website: motivationtomove.com YouTube: youtube.com/dailyboostpodcast Instagram: @heyscottsmith Facebook Page: facebook.com/motivationtomove Facebook Group: Join the Daily Boost Community Learn more about your ad choices. Visit megaphone.fm/adchoices

Justin Bieber BioSnap a weekly updated Biography.In the rapidly shifting world of pop culture Justin Bieber has surfaced in headlines this week more for his personal life than traditional music drama. Us Weekly and AOL report that Justin is currently “happier than he's been in a long time” and looking comfortable and lowkey while spotted at spas in New York City and out on public outings with his wife Hailey Bieber. The two attended a Knicks game, dined at The Corner Store, and grabbed popcorn at the IPIC movie theater—all in plain sight of fans and paparazzi. Any public speculation about marriage woes is being forcefully rebuffed by those close to the couple insiders tell People that Justin and Hailey are focused on their marriage and “very much in it together,” with friends noting their mutual support and maturity.GQ published a new interview with Hailey in which she candidly described their marriage as something they take “one day at a time,” opening up about existing under intense public scrutiny. Despite skipping the 2025 Grammys for the second year running—fueling the usual internet chatter that maybe he's retreating from the limelight—a recent source shared with People that Hailey loves seeing Justin get back into his “creative process,” especially in the studio creating with friends.Grammys chatter is always intense at this time of year, but the spotlight is on nominations and no confirmed Bieber wins or performances are making waves right now with final voting for 2026 not wrapping up until January according to the Times of India.On the cultural tribute front Justin's impact is still being felt—a Candlelight Tribute concert dedicated to Justin Bieber music is scheduled for November 22 in Los Angeles, confirming his music's continuing influence among fans. Social media has picked up on clips from a YouTube event called “DAY 11” featuring Justin with Hailey and WETHEBAND on November 11 but there's nothing to indicate a secret album drop or surprise music project based on available footage so far.Business-wise there is zero movement on new ventures apart from earlier reported news that Justin exited his streetwear brand Drew House recently as summarized on the Spreaker audio biography series. No new deals or partnerships have surfaced this week according to official channels.The upshot Justin Bieber remains a cultural mainstay with his personal life and relationship still commanding major headlines but no confirmed headline-grabbing music or business bombshells in recent days. Any speculations about a retreat or comeback remain just that—unconfirmed and mostly fan-fueled at this stage.Get the best deals https://amzn.to/3ODvOtaThis content was created in partnership and with the help of Artificial Intelligence AI

Click here to send me a quick message :) What does it mean to connect with your inner wild woman (or wild womb)? And how can you more fully embody this innate creative, sensual, generative, wisdom-keeping part of yourself in ways that feel inspiring and unique to you?It can be easy to look online at social media accounts painting with menstrual blood or embodying some fierce quality of themselves with animal hides and think... "that's what the wild woman looks like"...But really, as wild woman photographer Vanessa Wingerath shares, it's not about looking outside of us for what others wild womb expressions are, but tuning into the unique ways YOUR being expresses that archetype that matters.If you're curious to hear about Vanessa's journey to her "wild woman era" and how you can begin to engage with these parts of yourself too - through photography, circles, retreats etc - as well as HOW transformational this kind of practice can be, this week's episode is perfect for you.Resources:Today's shownotes: Grab links to any of Vanessa's offeringsFree Womb connection and Clearing Guided Practice (22 mins)Episode 65: Grief & pleasure postpartum & beyond w Stacey RamsowerIf you loved this episode, share it with a friend, or take a screenshot and share on social media and tag me @herbalwombwisdom.  And if you love this podcast, leave a rating & write a review! It's really helpful to get the show to more amazing humans like you.  ❤️DISCLAIMER: This podcast is for educational purposes only, I am not providing any medical advice, I am not a medical practitioner, I'm an herbalist and in the US, there is no path to licensure for herbalists, so my role is as an herbal educator. Please do your own research and consult your healthcare provider for any personal health concerns.Support the show

Live from IMEX America in Las Vegas, Bart sits down with Kevin Brown — Senior Manager of Go-to-Market and Editorial Strategies at Alliants. From an unexpected encounter with a hotel CEO to building a career on creativity, Kevin shares how gut checks, human connection, and breaking norms have shaped his professional journey and his philosophy on hospitality.Major Takeaways /LearningsGut Checks Lead to Growth: Kevin's career pivots from music industry to hospitality were guided bylistening to instinct and embracing change, not rigid plans.Creativity Is a Muscle: His early years experimenting with acting, painting, writing, and failingforward built resilience and problem-solving skills.No One Succeeds in Isolation: Great ideas emerge through collaboration and challenging conventional thinking.Redefining Roles: At Alliants, Kevin's hybrid position was created around his strengths and passions a model for modern organizations.Connection Through Better Questions: Asking meaningful questions like “What makes you come alive?” creates deeper, faster rapport.Technology as an Enabler: Alliants builds tools that reduce admin tasks and increase time for real guestconnection blending context with hospitality.Trust as ROI: Hospitality success is built on human trust more than on loyalty points or amenities.Happiness as a Metric: Kevin champions measuring “Happiness Per Employee” as a driver of service excellence.Competitive Socialization: Shared experiences (like F1 racing simulators) can teach workplace lessons oncollaboration, patience, and communication. Memorable Quotes“Failure's only a failure if you don't learn anything fromit.” — Kevin Brown“It's not about your idea. It's about the best idea — andthat comes from collaboration.”“Most people don't put people first… but they should.”“Technology should give time back to humans, not take itaway.” “Ask better questions, and you'll build betterconnections.” Why It Matters / How to Use It For Leaders: Create roles around people's passions, not just job descriptions.For Teams: Lead conversations with curiosity and connection not titles or logos.For Hospitality Pros: Use tech to build context, not walls. Every second saved on admin is a secondgained for real service.For Event & Sales Teams: Break formalities, ask meaningful questions, and connect on a human level.For Organizations: Measure and prioritize employee happiness to elevate guest experience.For Culture Builders: Gamified experiences (like F1 Arcade) can double as learning labs for communication and teamwork.Resources and Links:Bart Berkey: MostPeopleDont.com | LinkedIn

In this week's Flagship Flashback episode of the Wade Keller Pro Wrestling Podcast from ten years ago (10-20-2015), PWTorch editor Wade Keller was joined by Jason Powell from ProWrestling.net and the Pro Wrestling Boom podcast. They discussed the Steve Austin interview with Brock Lesnar, plus reaction to last night's Raw and the breaking news of Raw's rating. They also field phone calls from live listeners on a variety of WWE-related topics.Then, in the previously VIP-exclusive Aftershow, they follow up on the Livecast to absorb the ratings news, plus answer a wide range of email topics including Global Force Wrestling, a Kane-Seth Rollins PPV prediction, a bold declaration from Keller regarding Seth, TNA in India, and more.Become a supporter of this podcast: https://www.spreaker.com/podcast/wade-keller-pro-wrestling-podcast--3076978/support.

Fredrik Haren, a 'creativity explorer,' shares insights from his extensive global journey covering 75 countries, explaining how different cultures perceive and harness creativity. He highlights the importance of understanding one's personal creative process and environment, debunking the myth that creativity is facilitated solely through structured processes and techniques. Instead, he emphasises the role of inspiration and the need to balance it with actual creative production. Frederick also discusses his upcoming book 'The World of Creativity,' which explores diverse perspectives on creativity across different cultures and professions. 00:00 Introduction01:07 Meet Fredrik Haren: The Creativity Explorer02:37 Defining Creativity: Perspectives and Insights06:59 Global Exploration of Creativity14:05 The Role of Environment in Creativity16:47 Exploring Your Creative Process with AI17:48 Creating a Culture of Innovation in Teams18:36 Understanding Group Creative Processes20:23 The Myth of Brainstorming21:26 Unique Creative Journeys22:30 Fredrik's Speaking Insights25:15 The World of Creativity Book26:28 The Essence of Curiosity28:58 Connecting with Fredrik30:22 Conclusion and FarewellLinkedIn* Connect with Fredrik Haren⚡️ In each episode, Paddy Dhanda deep dives into a new human Superpower to help you thrive in the age of AI.Host: Paddy DhandaPaddy works at the largest Tech training organisation in the UK and is passionate about helping tech professionals build human skills to thrive in the age of AI.Contact Paddy: paddy@superpowers.schoolSubscribe to my newsletter:

Aside From Dating Apps, How Have You Creatively Looked for Dates by Maine's Coast 93.1

Wrestlepalooza Fallout: Is ESPN Regretting the WWE Deal? The dust has settled on Wrestlepalooza 2025, but the debates are just getting started! We're going live to break down the shocking results and ask the most important question facing the company right now: Is WWE creatively bankrupt? This event was a defining moment for the company's new era, but many fans are already questioning the direction. We'll discuss the controversial Brock Lesnar vs. John Cena squash match and what it says about WWE's booking philosophy. What was the point of a dominant Lesnar win on Cena's retirement tour? Plus, we'll dive into the mixed reactions to the highly anticipated return of AJ Lee and what it means for the WWE Women's Division. On top of the in-ring action, we'll explore the mounting public backlash against ESPN. With Wrestlepalooza being the first major WWE event on the new streaming service, we'll analyze the massive confusion, high pricing, and technical issues that plagued the broadcast. Is it a sign that ESPN regrets its deal with a creatively bankrupt WWE? Did the company make a mistake by not going with Netflix? We'll dissect the fallout and what it means for the future of wrestling on television. Don't miss this crucial debate! Share your thoughts on Wrestlepalooza, WWE's creative direction, and the ESPN deal in the live chat! Keywords: WWE, Wrestlepalooza 2025, Wrestlepalooza fallout, ESPN WWE deal, creatively bankrupt, WWE creative, John Cena, Brock Lesnar, AJ Lee, wrestling news, live stream, wrestling, WWE booking, ESPN, streaming service, fan backlash. Socials X: https://x.com/AGeekpodcast Instagram: Matt- IG @AbsoluteGeekPodcast Dom-IG@Domtober_oldman_fett Styx-IG @styxboy73 Twitch: http://www.twitch.tv/absolutegeekpod... TikTok: / absolutegeekpodcast Off The Mat on ALL Major Audio Platforms! -Apple Podcast: https://podcasts.apple.com/us/podcast... -Spotify Podcast: https://tr.ee/iK5rClfkEZ -Link Tree: https://linktr.ee/absolutegeekpodcast...

Join us in this episode as we explore the world of complex problem-solving across industries with Hunter S. Gaylor, an executive partner, financial expert, and author. Hunter is a highly accomplished business leader with a diverse range of expertise spanning mobile banking, corporate strategy, private aviation, and international relations. He holds a Bachelor of Liberal Arts degree from Harvard University, is the Founder of Spencer Pruitt, and is the author of Planes Plants and Politics: A Mental Framework To Help Overcome Challenges in Any Industry. Click play to find out: The one thing that kills more strategies more than anything else. The importance of being able to accurately articulate what you're doing and why you're doing it. The driving force behind discipline and action. Why identifying the motivating factors behind specific goals. Discover the strategies behind Hunter S. Gaylor's guidance that drives worldwide business success – join the conversation now! You can follow along with Hunter on X @HunterGaylor and LinkedIn. Episode also available on Apple Podcasts: http://apple.co/30PvU9

In this episode, Joe Sanok speaks with NYT bestselling author Lawrence Armstrong about Layered Leadership and the role of creativity in effective leadership. Lawrence shares how drawing inspiration from the world around you, staying curious, and thinking in “synthesized layers” can lead to innovative strategies and solutions. He introduces the concept of “whole-brain thinking,” encouraging leaders to strengthen not only their natural abilities but also areas where they're less skilled—engaging in continuous learning to become more adaptable. Lawrence stresses the importance of creating collaborative environments where ideas can be freely shared, built upon, and refined, and advises hiring people with expertise beyond your own to strengthen the team's collective problem-solving power. For private practitioners and business owners, his key message is simple: you're already a leader—so keep learning, embrace creativity, and apply whole-brain thinking to drive growth and inspire others. The post Layered Leadership: How to lead Creatively with NYT Bestselling Author Lawrence Armstrong | POP 1246 appeared first on How to Start, Grow, and Scale a Private Practice | Practice of the Practice.

To be honest, I am feeling overwhelmed. On the outside, I am discouraged by endless news of our warmongering and dysfunctioning government. On the inside, I am still processing the years of intense social isolation during the pandemic, with no work prospects, after a vibrant pre-pandemic career and social life. I am hyper-vigilant and jumpy. Creatively, I feel uninspired. I find it difficult and awkward to socialize, sleep, or even rest. During periods of overwhelm, the best thing I can do for myself is to let my parasympathetic nervous system take over. This is the part of our nervous systems responsible for our 'rest and reset'. In today's meditation, we calm our nervous system. This podcast is made possible with great thanks to our subscribers on Patreon. Join our community at Patreon (dot) com (slash) theMeditationPodcast