Podcasts about programs

What if life itself is just a really sophisticated computer program that wrote itself into existence?In this mind-bending talk, *Blaise Agüera y Arcas* takes us on a journey from random noise to the emergence of life, using nothing but simple code and a whole lot of patience. His artificial life experiment, cheekily named "BFF" (the first two letters stand for "Brainf***"), demonstrates something remarkable: when you let random strings of code interact millions of times, complex self-replicating programs spontaneously emerge from pure chaos.*Key Insights from this Talk:**The "Artificial Kidney" Test for Life* — What makes something alive isn't what it's made of, but what it *does*. A rock broken in half gives you two rocks. A kidney broken in half gives you a broken kidney. Function is what separates the living from the non-living.*Von Neumann Called It* — Before we even knew what DNA looked like, mathematician John von Neumann figured out exactly what life needed to copy itself: instructions, a constructor to follow them, and a way to copy those instructions. He basically predicted molecular biology from pure logic.*The Magic Moment* — Watch as Blaise shows the exact instant when his simulation transitions from random noise to organized, self-replicating code. It's a genuine phase transition, like water freezing into ice, except instead of ice, you get *life*.*Evolution Without Mutation* — Here's the twist that challenges everything you learned in biology class: this complexity emerges even when mutation is set to zero. The secret? Symbiogenesis. Things don't just mutate to get better; they *merge*. Two simple replicators that work well together fuse into something more complex.*We're All Made of Viruses* — This isn't just simulation theory. In the real world, the mammalian placenta came from an ancient virus. A gene essential for forming memories? Also a virus. Life has been merging and absorbing other life forms all the way down.The implications are profound: life isn't just computational, it was computational from the very beginning. And intelligence? That's just what happens when these biological computers start modeling each other.Whether you're into artificial life, evolutionary biology, or just want to understand what makes you *you*, this talk will fundamentally change how you think about the boundary between living and non-living matter.---TIMESTAMPS:00:00:00 Introduction: From Noise to Programs & ALife History00:03:15 Defining Life: Function as the "Spirit"00:05:45 Von Neumann's Insight: Life is Embodied Computation00:09:15 Physics of Computation: Irreversibility & Fallacies00:15:00 The BFF Experiment: Spontaneous Generation of Code00:23:45 The Mystery: Complexity Growth Without Mutation00:27:00 Symbiogenesis: The Engine of Novelty00:33:15 Mathematical Proof: Blocking Symbiosis Stops Life00:40:15 Evolutionary Implications: It's Symbiogenesis All The Way Down00:44:30 Intelligence as Modeling Others00:46:49 Q&A: Levels of Abstraction & Definitions---REFERENCES:Paper:[00:01:16] Open Problems in Artificial Lifehttps://direct.mit.edu/artl/article/6/4/363/2354/Open-Problems-in-Artificial-Life[00:09:30] When does a physical system compute?https://arxiv.org/abs/1309.7979[00:15:00] Computational Lifehttps://arxiv.org/abs/2406.19108[00:27:30] On the Origin of Mitosing Cellshttps://pubmed.ncbi.nlm.nih.gov/11541392/[00:42:00] The Major Evolutionary Transitionshttps://www.nature.com/articles/374227a0[00:44:00] The ARC genehttps://www.nih.gov/news-events/news-releases/memory-gene-goes-viralPerson:[00:05:45] Alan Turinghttps://plato.stanford.edu/entries/turing/[00:07:30] John von Neumannhttps://en.wikipedia.org/wiki/John_von_Neumann[00:11:15] Hector Zenilhttps://hectorzenil.net/[00:12:00] Robert Sapolskyhttps://profiles.stanford.edu/robert-sapolsky---LINKS:RESCRIPT: https://app.rescript.info/public/share/ff7gb6HpezOR3DF-gr9-rCoMFzzEgUjLQK6voV5XVWY

Guest: David Davenport. Davenport discusses FDR and LBJ, who argued government must actively create opportunity through programs like the New Deal and Great Society to ensure fair results.

Cybersecurity Maturity Model Certification (CMMC) compliance is essential in the space industry. We explore space supply chain cybersecurity with Frank Chimenti, Director of Programs at Beyond Gravity, and Regan Edens, CISO at DTC Global. You can connect with Frank and Regan on LinkedIn, and learn more about CMMC compliance for space here. Remember to leave us a 5-star rating and review in your favorite podcast app. Be sure to follow T-Minus on LinkedIn and Instagram. Want to hear your company in the show? You too can reach the most influential leaders and operators in the industry. Here's our media kit. Contact us at space@n2k.com to request more info. Want to join us for an interview? Please send your pitch to space-editor@n2k.com and include your name, affiliation, and topic proposal. T-Minus is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

Affordability in Vancouver has improved by roughly 37% from its 2023 peak. Monthly mortgage payments on an average home have fallen by about $1,500, dropping from roughly $5,600 to $4,100. That's a material shift, bringing affordability back to early-2022 levels. Historically, when affordability sat here, transaction volumes were meaningfully higher. While payments remain well above pre-pandemic norms, the direction of travel matters—and for buyers watching the market closely, this is the most constructive affordability backdrop in years.But beneath that surface improvement, cracks are forming. Developers—arguably the most forward-looking participants in housing—are pulling back sharply. Land sales, an early indicator of future housing supply, have collapsed well below historical norms. When developers stop buying land, it's rarely about today's headlines; it's a judgment call on whether prices, financing, and demand will justify risk years down the road. The implication is uncomfortable: fewer projects today guarantees tighter supply later, particularly as population growth and confidence eventually normalize.Employment data adds another layer of complexity. Canada's labor market is cooling, but not in the way past downturns looked. Job losses are emerging in traditional sectors, yet unemployment hasn't spiked because the workforce itself is shrinking—driven by retirements and slower population growth. That structural shift matters. Slower labor growth caps wage growth, which in turn limits housing demand over the long run. At the same time, uneven job creation across provinces may quietly redirect housing and rental demand to where employment is strongest.On the rental front, the story is finally turning for tenants. Asking rents have fallen for more than a year and recently hit multi-year lows, with Vancouver among the steepest declines. Yet even here, the rate of decline is slowing—hinting that rental markets may be approaching stabilization.Governments, facing slowing activity, are stepping in with incentives. Programs like Nova Scotia's ultra-low down payment initiative underscore a key theme of the episode: these policies are less a sign of strength than a response to economic fragility. They don't solve affordability at its root; they increase leverage in an already indebted system.Add rising home insurance costs—driven by aging housing stock and extreme weather—and the cost pressures on ownership and rental housing continue to build, even as headline prices soften.The takeaway is clear: today's market is defined by contradictions. Affordability is improving, but demand remains hesitant. Supply is being quietly choked off. Costs are shifting rather than disappearing. And interest rates, once the dominant force, may now be the least volatile variable.This episode isn't about calling a top or a bottom. It's about understanding where the next pressure points are forming—and why the decisions being made today may shape Canada's housing landscape for the next decade. _________________________________ Contact Us To Book Your Private Consultation:

In this conversation, Daniel Baker shares his extensive journey in strength conditioning, discussing the evolution of coaching practices, the history of strength conditioning in Australia, and the current challenges faced by coaches. He emphasises the importance of adapting training programs to individual athletes, the lessons learned from working with elite athletes, and the balance between scientific principles and the art of coaching. Baker also provides valuable advice for young coaches entering the field, highlighting the need for strength, fitness, and proper movement in athletic training. Takeaways: - The coaching journey involves evolving programming and coaching methods. - Programs must adapt to the athlete's development and new research. - Coaching is about how programs are executed, not just written. - Strength conditioning in Australia has evolved significantly since the 1970s. - AI presents challenges but cannot replace the human element in coaching. - Athletes must be strong, fit, and able to move well for their sport. - Textbooks are not sufficient for understanding elite athletic training. - Effective training requires making decisions about exercise selection. - Young coaches should focus on strength and fitness in their athletes. - The coaching environment must include both technicians and professionals.

This week, we dig into Peloton's latest earnings call and analyze the numbers and forward-looking statements. We also cover Peloton's recent appearance in an HBO Max trailer and a technical issue affecting how Programs are tracked. In instructor news, we discuss Alex Toussaint's 10-year celebration, Olivia Amato's new partnership with Lululemon, and several other instructor collaborations. Plus, we highlight new fitness content, including Ally Love's (Re)Build program, the second week of Black History Month classes, and a new 10K running program for members in Germany. We round out the episode with listener-recommended classes and our top picks for the week ahead.A recap of Peloton's quarterly earnings call and what it means for the company's fitness strategy.Peloton equipment makes a cameo in the trailer for an upcoming HBO Max show.Our review of Rebecca Kennedy's new HiLit program.A technical glitch is preventing Peloton Programs from being counted as completed classes for some users.The Peloton AI-powered chatbot provided some incorrect information this week.Peloton's former Chief Marketing Officer joins the team at Supergoop.Alex Toussaint celebrates 10 years with Peloton during the NBA All-Star Weekend and releases a Greatest Hits Ride collection.Instructor Olivia Amato announces a new partnership with Lululemon.Jess King is named the new Chief Wellness Ambassador for Culturelle Probiotics.German instructor Benny Adami is featured in a European magazine.Ash Pryor partners with Dove for a new campaign.The Clip Out Top 5: We share listener-recommended fitness classes for you to try.This Week at Peloton: A look at the week's fitness highlights and class releases.The Clip Out Radar: Classes we think you should add to your schedule.Ally Love launches her new (Re)Build strength program.Peloton continues its celebration of Black History Month with new classes and content.A look at Joslyn Thompson Rule's unofficial Strength Split training strategy.Speculation arises about a potential kettlebell program from instructor Jess Sims.Peloton introduces a new 10K running program specifically for members in Germany.We celebrate Peloton instructor Ross Rayburn's birthday on February 19.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In today's episode, I'm sharing a major shift I see happening in the digital space and how it completely changed the way I think about offers, coaching, and scalability. Information alone isn't enough anymore. People want speed, simplicity, and implementation. I walk you through the realizations that led us to overhaul our entire offer suite, why done-for-you is becoming the future, and how this shift can help you grow faster without burning out.

Liberty Wrestling is entering a new chapter — and Airey Bros Radio is going belly-to-belly with the new Head Wrestling Coach of Liberty University, Chris Williamson.Coach Williamson returns to Lynchburg after six seasons under legendary coach Jesse Castro, during a run that included NCWA team titles, All-Americans, national champs, and elite academic standards. Before coming back, he built Cornerstone University's inaugural wrestling program into a Top-25 NAIA contender, producing 12 NAIA qualifiers and 3 All-Americans.In this episode, we go deep on what recruits, parents, and coaches need to understand right now:Why “D1 or bust” is often the wrong mindset (especially with today's NCAA landscape)How Liberty helped redefine “club wrestling” and why the NCWA is legitWhat fully-funded actually means in the NCWA world (fundraising, support, scholarships)Recruiting education: parents' misconceptions, badges, stigma, and real opportunityFaith-based culture, standards, leadership, and building men beyond wins/lossesCoach's journey: Messiah (NCAA D3) → Liberty → Cornerstone (NAIA) → back to LibertyPostseason outlook + who to watch as Liberty gears up for March

Rob is a sought out speaker and coach. He brings an innovative approach to training, coaching through the lens of systems science and physiology.  His extensive credentials include certifications in Functional Range Strength Coaching, working at Nike, CrossFit, Eleiko Strength, and more. Rob's unique insights on tissue mobilization, joint stabilization, and athletic programming will transform the way you think about performance.   https://www.instagram.com/riggest1/   Rob's Programs   Rob's Linktree The Game Speed Blueprint is available on TrainHeroic! https://trainheroic.co/theblueprintweb Check Out My Game Speed Course and Programs at www.multidirectionalpower.com

Office of Hawaiian Education Director Kauʻi Sang talks about the Kaiapuni placement request process; HPR's Maui Nui reporter Catherine Cluett Pactol reports on a Hawaiian language immersion classroom on Molokaʻi

From the Caribbean to Central Asia and the Pacific, governments keep announcing CBI plans. Few have followed through.View the full article here.Subscribe to the IMI Daily newsletter here. 

Sophia Ha is Canada's leading Face Yoga expert, and the creator of The Holistic Facelift. For the last 8 years she has supported hundreds of women to refine, define, and radiate their natural beauty through holistic techniques that lift your face from the inside out. With a background in journalism, Sophia's interest in exploring the depths of the human experience fuels all that she does. She is deeply aware that every person has a unique story, face, and experience. Sophia's unique gift for making people feel seen has supported her mission to disrupt mainstream beauty ideals, and our cultural fear of aging. Residing in Toronto, she facilitates face yoga workshops and private sessions locally, abroad, and online. instagram/@theholisticfacelift www.theholisticfacelift.com pinterest/theholisticfacelift facebook/theholisticfacelift tiktok/@theholisticfacelift Programs: www.theholisticfacelift.com/online-programs Reset and Renew Retreat https://luxeclubretreats.com/reset-and-renew/   

Chuck Heinz and Chois Woodman in for Jamie Lent talk about Lady Raider basketball at OSU, a VP golf problem, mono, ranking the 4 Tech programs for 2026, and junior college championships.

Randy and Paul talk about the current status of Texas football, 2026 NCAAF national championship odds, Texas baseball, and Longhorn basketball. Baseball is almost here - what does Randy think about the team and the prospects for the Longhorns pitching staff? They also delve into important issues like Looney Tunes, the stress of coaching flag football, and why the Dominican Republic needs a war. The time is now for your new mortgage or refi with Gabe Winslow at 832-557-1095 or MortgagesbyGabe. Then get your financial life in order with advisor David McClellan 312-933-8823 with a free consult: dmcclellan@forumfinancial.com. Read his retirement tax bomb series at Kiplinger! https://www.kiplinger.com/retirement/retirement-planning/605109/is-your-retirement-portfolio-a-tax-bomb Need a great CenTex realtor? Contact Laura Baker at 512-784-0505 or laura@andyallenteam.com.

Munaf Manji and Dave Essler talk betting for Thursday. With the NBA schedule narrowed to three games on the final night before the All Star break, the focus shifts to motivation, roster management and market value as teams navigate the last hurdle before extended rest. Milwaukee travels to Oklahoma City, Portland visits Utah and Dallas heads to Los Angeles to face the Lakers, creating a compact but nuanced betting board. The Bucks and Thunder both enter on the second leg of a back to back after wins. Oklahoma City handled Phoenix comfortably, limiting starter minutes in a 136 to 109 victory, while Milwaukee earned a 116 to 108 road win in Orlando behind a 34 point effort off the bench from Cam Thomas and 11 assists from Kevin Porter Junior. With injury reports pending, including concern around Jalen Williams for the Thunder, depth and pace become central themes. Oklahoma City has thrived even without key contributors, yet the compressed schedule and looming break raise questions about intensity. Milwaukee, meanwhile, has been held under 103 points in five of its last six games and scores nearly nine fewer points per game on the road than at home, reinforcing the case for a lower scoring profile despite Oklahoma City's offensive ceiling. In Utah, the Trail Blazers look to rebound from a 133 to 109 loss in Minnesota, where defensive lapses and inefficient shooting defined the night. Portland has already scored at least 136 points in both prior meetings with the Jazz this season and now faces a Utah team adjusting after news that Jaren Jackson Jr is likely to miss the remainder of the season for knee surgery. The Jazz have been in developmental mode, and while recent defensive metrics have shown improvement compared to their season long ranking near the bottom of the league, personnel uncertainty clouds projections. Utah has covered six straight games and continues to compete in first halves before rotations thin late. Portland's offensive consistency against this opponent and Utah's shifting frontcourt structure make scoring expectations a primary angle. The late game features Dallas at the Lakers, with Los Angeles favored despite ongoing lineup fluidity. Luka is out, while LeBron James and Austin Reaves anchor the Lakers' attack. Dallas has struggled on the road with only five wins away from home, yet underlying defensive effective field goal metrics compare favorably to Los Angeles. The Lakers remain below league average defensively and have not consistently separated from opponents, even at home. Market inflation tied to brand perception contrasts with statistical parity, particularly if Dallas receives solid contributions from secondary scorers in an elevated spotlight environment. Beyond the NBA card, the college basketball futures discussion highlights the importance of two way efficiency. Historical trends emphasize teams ranked inside the top tier in both offensive and defensive efficiency. Programs such as Michigan, Florida, Duke, Arizona, Houston and Connecticut fit that profile, while Vanderbilt presents long shot value given its balanced metrics and conference strength. As the All Star break arrives, the betting landscape demands careful attention to minutes allocation, motivational edges and evolving injury news rather than surface level records. Learn more about your ad choices. Visit megaphone.fm/adchoices

In a podcast recorded at ITEXPO / MSP EXPO, Doug Green, Publisher of Technology Reseller News, spoke with Rick Bekers, CEO of Channel Sales Pro, about how MSPs and technology vendors can design effective channel programs that accelerate growth while avoiding common pitfalls. Bekers brings more than four decades of experience to the conversation, including 35 years as an MSP owner, time leading a Technology Services Distributor (TSD), and years as a consultant helping vendors and service providers enter and scale through the channel. He emphasized that channel programs—whether built by vendors or MSPs evolving into “master MSPs”—require specialized expertise. “Trying to build a channel program on your own can slow you down by 18 months to three years,” Bekers said, noting that missteps and trial-and-error often delay revenue and partner momentum. The discussion focused on how Channel Sales Pro engages with MSPs seeking to expand. Bekers described a structured discovery and gap analysis process designed to align channel strategy with business goals, followed by execution that leverages established industry relationships. Drawing on his own experience running an MSP, he stressed the importance of solid operational foundations—repeatable processes, PSA and RMM tools, and consistent onboarding—to prevent burnout and customer churn as firms scale. “You don't want to try to scale a program on broken processes,” he explained. Bekers also delivered a direct message to MSP founders who feel stuck managing growth alone. By standardizing operations and seeking experienced guidance, MSPs can move from reactive, exhausting growth cycles to predictable, repeatable expansion. His confidence in the model is underscored by a performance guarantee tied to measurable revenue outcomes, reinforcing his belief that disciplined channel strategy can deliver returns within months. Visit https://www.channelsales.pro/

Welcome back to the podcast! This week Brent and David continue the series for February. They are sitting down to talk about the importance of longevity in youth ministry as well as the core principles of building trust with students in your ministry.Whether you are a young or old youth pastor, we would love for you to listen in and see what is talked about in today's episode and we would also love to hear from you! What is your tidbit of advice that you would add to the conversation?You can listen to this episode on all your preferred podcast providers. We would also love to have you join the conversation if you would like to be on the show!Shoot us a message on social media (@talkstudentmin) or an email (podcast@studentministryconversations.org) to get a time set for you to be on the show.Connect With SMC⁠⁠⁠www.studentministryconversations.org⁠⁠⁠Instagram – ⁠⁠⁠@talkstudentmin⁠⁠⁠Facebook – ⁠⁠⁠@talkstudentmin⁠⁠⁠Youtube - ⁠⁠⁠"Student Ministry Conversations"⁠⁠⁠Connect With The HostsBrent Aiken – @heybrentaikenDavid Pruitt - @pruacoustic

Super Bowl energy meets real community impact as we crack open prop bets, swap bourbon notes, and rally behind TASC's All-In casino night, our favorite way to turn a rowdy room into real support for teens in Northwest Arkansas. We start with light-hearted Jets nostalgia and a wager sheet that could cost us twenty bucks, then jump straight into why this event works: it's joyful, it's social, and every laugh helps fund counseling, after-school programs, and life skills for kids who need a steady hand.Hannah joins us to map out the night, from a VIP happy hour with first look at silent auction items to a main floor that hums with blackjack, craps, poker, a horse-race game, and a big central bar. We talk tickets, early-bird pricing, and how to proxy-bid if you're out of town. If you're hunting for auction gold, the lineup is stacked: Orphan Barrel age-statement unicorns, a Heaven Hill 17-year, plus an AMP concert package paired with a hotel stay and dinner. It's the rare fundraiser where bourbon lovers, music fans, and first-time bidders all find a lane.Then we dig into the heart of TASC. This local nonprofit delivers sliding-scale mental health counseling, First Steps for pregnant and parenting teens, and hands-on life skills like budgeting, car maintenance, banking, scholarship prep, ACT strategy, and driver permits. Teens often arrive because they have to, then keep coming because they want to. Programs like Bucket List Summer get them off screens and into real adventures that fill up fast, proof that connection still beats the algorithm.If you've ever wished charity nights felt less stiff and more human, this is your night. Come for the blackjack stories and bingo redemption arcs, stay for the knowledge that your chips translate into therapy sessions, service hours, and second chances. Grab your tickets at tascnwa.org, invite a friend, and if you loved this conversation, subscribe, share the episode, and drop us a quick review so more neighbors can discover the cause.

The Small Business Administration had a busy past few weeks in the news and for their communications department. An article reported on the agency's reported record growth in 2025, including nearly $100 billion through the 7(a) and 504 loan programs. U.S. manufacturing gained millions in support from the Working Capital Pilot program. A bill in the U.S. Senate aims at providing free AI training and guidance nationwide, and the agency is implementing a program to provide a workaround for permit delays during federal disaster declarations. Listen to the podcast. Additional Resources Meet Paychex: https://bit.ly/3VtM6bs Funding sources: https://bit.ly/funding-for-businesses DISCLAIMER: The information presented in this podcast, and that is further provided by the presenter, should not be considered legal or accounting advice, and should not substitute for legal, accounting, or other professional advice in which the facts and circumstances may warrant. We encourage you to consult legal counsel as it pertains to your own unique situation(s) and/or with any specific legal questions you may have.

Margo is joined by Ashley Lohr, an artist, educator, and community builder based in Petersburg, Alaska—a small fishing island town where she has taught art for nearly two decades. Working across painting and enamel jewelry, Ashley has built a creative life rooted in place, curiosity, and long-term commitment. From sustaining robust school art programs to teaching workshops far beyond the classroom, her path is a testament to what can unfold when artists design lives that support both their work and their values. Ashley shares how moving to Alaska at 23 shaped her identity as both a teacher and artist, how she continues to grow her own practice alongside full-time teaching, and what she learned from intentionally stepping away during a self-created sabbatical. In this conversation, we discuss: Moving to Petersburg, Alaska for a teaching job—and how place can deeply shape creative alignment Teaching art in ways that feel authentic, expansive, and student-centered How Ashley builds, sustains, and evolves art programs within a school setting Maintaining a personal art practice alongside full-time teaching and family life Taking a self-designed sabbatical and what it revealed about community, creativity, and pace Teaching outside the classroom: workshops, travel, and non-gallery ways to share work Finding and proposing workshop opportunities—locally and farther afield Trusting a slow, steady creative path and allowing your work to change over time Connect with Ashley: Website: https://ashleylohrart.com Instagram: https://instagram.com/ashleylohrart Connect with Margo: Website: www.windowsillchats.com Instagram: @windowsillchats www.patreon.com/inthewindowsill https://www.yourtantaustudio.com/thefoundry

It's Wednesday, February 11th, A.D. 2026. This is The Worldview in 5 Minutes heard on 140 radio stations and at www.TheWorldview.com.  I'm Adam McManus. (Adam@TheWorldview.com) By Jonathan Clark Christians are leaving volatile Middle East The number of Christians in the Middle East is falling as religious freedom deteriorates in the region. Karmella Borashan of the Assyrian International Council addressed the International Religious Freedom Summit in Washington, D.C. last week. She warned, “Christianity is fading from the Middle East and [Christians] are placed in the mercy of the perpetrators. Once we had 1.5 million Christians; now we have only less than 300,000 left.” Assyrian Christians, in particular, face persecution from Muslim Jihadists in Syria and Iraq. Hebrews 13:3 says, “Remember the prisoners as if chained with them—those who are mistreated—since you yourselves are in the body also.” U.S. and Hungary partner to advance religious freedom Speaking of the Middle East, the United States and Hungary  signed an agreement last week to advance religious freedom in the region. The U.S. Department of State noted, “Christians are the most persecuted religious group worldwide, yet atrocities and attacks against them too often go unaddressed. Such persecution presents a threat to American security and undermines the values upon which our nation was built.” Hungary has already been supporting suffering believers for years through its office of Aid for Persecuted Christians. The new agreement is focused on aiding the church in sub-Saharan Africa and the Middle East. More Gen Zers attending church in New Zealand Baptist churches in New Zealand are seeing increased interest from young people.  Gen Z has reportedly been leading a rise in church attendance in the West, known as the “quiet revival.” The 2025 Annual Report for the Baptist Churches of New Zealand noted similar findings for its young people. Youth attendance in these churches increased 24% between 2022 and 2024. And people under the age of 25 accounted for nearly 60% of baptisms reported.  Trump tosses Obama's global warming policy In the United States, the Trump administration is expected to repeal an Obama-era climate change policy this week. The policy is known as the Endangerment Finding. It claimed that greenhouse gases, like carbon dioxide, are a danger to public health. The finding has been the legal basis for regulating greenhouse gas emissions.  The Environmental Protection Agency plans to rescind the rule, making it “the largest act of deregulation in the history of the United States.”  Is social media addictive to kids? Major social media companies are facing landmark trials this year for how their platforms affect children.  A case against Google-owned YouTube and Meta-owned Instagram begins this week. The companies face accusations that their platforms were designed to be addictive for kids.  The platforms TikTok and Snap were initially named in the lawsuit, but settled for undisclosed amounts.  Floridian Christian defended for objecting to pro-abort COVID shot Liberty Counsel recently filed an appeal on behalf of a Christian who lost his job for not getting the COVID-19 shot, reports LifeSiteNews.com. Christian Marin worked for Nemours Children's Hospital in Florida. During the COVID-19 pandemic, he refused to get the shot due to his pro-life beliefs. The hospital fired him in 2021. And the Florida Commission on Human Relations sided with the hospital in 2023. Liberty Counsel Founder and Chairman Mat Staver said, “Nemours [Hospital] violated Marin's religious protections and should be held accountable.” RFK partners with Christian recovery programs for addicts & homeless The Trump administration is welcoming faith-based organizations to participate in a new recovery program for drug addiction and homelessness. U.S. Health and Human Services Secretary Robert F. Kennedy Jr. made the announcement last week at Prevention Day. It's the largest government-sponsored gathering dedicated to advancing the prevention of substance use. Listen to comments from Secretary Kennedy.  KENNEDY: “This is a chronic disease. It's a physical disease. It's a mental disease. It's an emotional disease. But, above all, it's a spiritual disease. And we need to recognize that faith-based organizations play a critical role, helping people re-establish their connections to community.” Grandfather recorded entire Bible on audio for grandkids And finally, a grandfather went viral since December for giving his grandchildren a recording of him reading the entire Bible for Christmas. It took the grandfather over a year to complete. A video of him sharing the gift got more than a million views across social media. The video was originally posted by Tiffany Shabazz. She said, “We shared one video of Grandpa giving us such a personal meaningful gift and now everyone wants a copy. I can't believe how many people this has reached. God is definitely in this story. … We are up to needing 118 copies for people all over the world.” Psalm 78:4 says, “We will not hide them from their children, telling to the generation to come the praises of the LORD, and His strength and His wonderful works that He has done.” Close And that's The Worldview on this Wednesday, February 11th, in the year of our Lord 2026. Follow us on X or subscribe for free by Spotify, Amazon Music, or by iTunes or email to our unique Christian newscast at www.TheWorldview.com.  I'm Adam McManus (Adam@TheWorldview.com). Seize the day for Jesus Christ.

In this conversation, Molly Shepard, a loan officer trainer and real estate investor, shares her journey in the real estate market, focusing on her experiences with HUD, VASH, and TIP programs, flipping houses, and the importance of financial education. She discusses the dynamics of the St. Louis market, her strategies for making offers, and the role of a loan officer in helping clients achieve financial stability. Molly emphasizes the significance of budgeting and credit repair in the path to homeownership and shares her excitement about upcoming projects in real estate investment management.   Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true 'white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a "mini-mastermind" with Mike and his private clients on an upcoming "Retreat", either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas "Big H Ranch"? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

Robby and Joe start the show on Wednesday discussing some college sports.  Is Vandy AD Candice Storey Lee getting enough credit for the success of the sports department right now?  What about the latest from Knoxville?  Does it feel like fans are losing faith in Vols' AD Danny White?  What do we make of the struggles for the Lady Vols under Kim Caldwell?  We take your phones.

"Meet the Helpers" As Director of Programs, Sarah Goehring supports educators and caregivers learning from the life and work of Fred Rogers. Sarah serves as the Director of the Fred Rogers Scholars Program for undergraduate students at Saint Vincent College, supports communities of learning for children's helpers, and assists with programmatic and event coordination for the Institute. Prior to her current role, Sarah joined the Institute as a Fred Rogers Scholar and work-study student while earning a B.S. in Early Childhood Education from Saint Vincent College. She then earned an M.S. in Curriculum and Instruction from Saint Vincent College while working as a Graduate Assistant at the Institute. In her spare time, Sarah enjoys baking and spending time with her husband and son. Kenzee's role as a program associate allows her to celebrate and convey Fred Rogers' values and long-lasting impact on our neighborhood and beyond. Her involvement in Educators' Neighborhood inspires educators to connect in the spirit of empathy, kindness, and community. Kenzee engages in the study of archival material through various speaking and research opportunities. She also collaborates with undergraduate students in the Fred Rogers Scholars program as they embody Fred's important values through community outreach efforts. Before her role as a program associate, she worked at the Fred Rogers Institute as a work-study while obtaining her B.A. in English with a secondary education certification at Saint Vincent College. She was a Fred Rogers Scholar as well. She acquired her M.S. in Curriculum and Instruction from SVC during the fall of 2025. In her spare time, she loves to spend time with her border collie, Winston, and read.

A broad coalition of agribusinesses and hunger relief groups today urged Wisconsin lawmakers to address an urgent need for $69.2 million in FoodShare funding, in the wake of federal changes to the Supplemental Nutrition Assistance Program (SNAP), which shifted 75 percent of administrative costs to states. Wisconsin must take action now before the end of the legislative session or face the potential for penalties of up to $205 million and put benefits at risk.FoodShare is a critical economic engine for Wisconsin’s food and agricultural sector. Each year, Wisconsin FoodShare participants redeem well over $1 billion in federally funded benefits at grocery retailers across the state.“FoodShare is more than nutrition assistance,” says Rebekah Sweeney, Wisconsin Cheese Makers Association Senior Director of Programs & Policy. “Hundreds of millions of federal FoodShare dollars are used to purchase Wisconsin-grown and Wisconsin-made foods each year, supporting farms, manufacturing businesses, and jobs in every part of our state. Providing stability for FoodShare provides stability for Wisconsin agriculture, as well.”With the final days of the legislative session rapidly approaching, timely action is critical to avoid compliance risks and ensure continuity of essential services for Wisconsin residents, she tells Stephanie Hoff in an interview. Other agriculture organizations that support the funding request include Cooperative Network, Dairy Business Association, Wisconsin Pork Association, and Wisconsin Potato & Vegetable Growers Association. Additionally, 165 organizations signed on to a letter to the Wisconsin State Legislature in support of the funding request.See omnystudio.com/listener for privacy information.

Discover how Nick Martin, Social Media Marketing Manager at Tipalti, scales social influence and employee advocacy at a mid-sized fintech organization.Want to know how your employee advocacy strategy really stacks up? Grab your FREE Employee Advocacy Health Check and see how you compare against your competitors.In this episode, we explore the unique middle ground of employee advocacy, where you have more resources than a startup but less than a mega-enterprise. Nick shares his journey of building repeatable systems at Tipalti, explaining how to drive high-impact engagement without a massive team.You'll learn why catching new hires on day one is the secret to building lasting employee advocacy habits, how to swap spammy gamification for quality-focused incentives, and the best way to stop corporate-speak by encouraging employees to write like they're texting a friend. Nick also reveals a powerful “President's Club” success story: a single shared post revived a “lost whale” account and closed a massive deal. Whether you're a solo marketer or leading a global rollout, Nick's insights on securing executive buy-in and proving sales ROI are essential.Resources:Book a call to discover how employee advocacy can benefit your team.Ready to elevate your employee advocacy? Get a free copy of Bradley Keenan's essential book, ‘Employee Advocacy: 101 Cheat Codes' for deeper insights and actionable strategies.Download the World's Biggest Employee Advocacy Study for free and discover data-backed insights to supercharge your program:Subscribe to The Employee Advocacy & Influence Podcast for more expert insights into social strategy and employee influence!

Discover how washing and closed-loop recycling programs are transforming PPE waste management. From cost savings to environmental impact, we examine the techniques and policies driving a sustainable future for industrial protective equipment. Read more at https://www.librami.com/readyship-glove-and-ppe-recycling Libra City: Jackson Address: 1435 N Blackstone St Website: https://www.librami.com/readyship-glove-and-ppe-recycling

A 1994 bombing of a Jewish community center in Argentina opened the world's eyes to Hezbollah's presence in Latin America. But the Iranian proxy, a US-designated terrorist group, has operated in the region since the 1980s. This started in the Tri-Border Area of Argentina, Brazil, and Paraguay, earning the nickname "the United Nations of crime." The Drug Enforcement Administration (DEA) has said Hezbollah's revenues in Central and South America fund its External Security Organization, which plans their terrorist plots overseas. Wes Tabor, a former DEA agent, knows all about it. He was part of a landmark case that exposed their ties to drug cartels and financial institutions. Wes takes us into the present, describing how the US's removal of Nicolás Maduro in Venezuela impacts Hezbollah's presence in the Western Hemisphere. Subscribe to Sasha's Substack, HUMINT, to get more intelligence stories: https://sashaingber.substack.com/ For more information about the International Spy Museum, visit:  https://www.spymuseum.org/ And if you have feedback or want to hear about a particular topic,  you can reach us by email at spycast@spymuseum.org. This show is brought to you by N2K Networks, Goat Rodeo, and the International Spy Museum in Washington, DC. This episode was produced by Flora Warshaw and the team at Goat Rodeo. At the International Spy Museum, Mike Mincey and Memphis Vaughan III are our video editors. Emily Rens is our graphic designer. Joshua Troemel runs our SPY social media. Amanda Ohlke is our Director of Adult Education and Mira Cohen is the Vice President of Programs.

In this week's mailbag, Heartland College Sports' Pete Mundo answers your TOP Big 12 questions of the week, including a couple of programs getting bad publicity! Plus, Mundo discusses the Big 12 Tournament, it's future, why the BIG 12 needs to stay in Kansas City, and also how many teams could end up in March Madness for the league, and why it won't be more. Get your questions in NOW!

Leave a message & include your contact or I won't know it's you.Many people don't relate to the word abuse—not because nothing happened, but because emotional control often doesn't look dramatic, obvious, or cruel. In emotionally abusive or controlling relationships, the most damaging patterns are often subtle, gradual, and reinforced in ways that are easy to miss while you're in them.In this episode, we explore the subtle signs of emotional control that don't look like abuse, including how conditioning, self-doubt, and relief-based compliance can quietly train you to minimize your needs, question your perception, and adapt in ways you didn't consciously choose. You'll learn why so many people struggle to name emotional abuse, how shame and conditioning keep experiences minimized, and why recognizing these patterns is not about blame—but about clarity and empowerment.This episode is for anyone who has ever thought “It wasn't that bad” while still feeling smaller, more careful, or less like themselves. If you're trying to make sense of lingering confusion after a relationship and want language for what actually happened, this conversation will help you see it clearly—and understand why naming it can be the beginning of real healing.Support the showTo learn more about my Programs visit the websitewww.radiatenrise.com Email: Allison@radiatenrise.comFree 30 Min Root Cause Call Join Radiate and Rise Together - Survivor Healing Community for Women GET YOUR FREE AUDIOTo send a DM, visit Allison's profiles on Instagram and Facebookhttps://www.instagram.com/allisonkdagney/https://www.facebook.com/allisonkdagney/*Formerly (The Emotional Abuse Recovery Podcast)

Chrome Federal Credit Union CEO Bob Flanyak Jr. delivers a masterclass in authentic leadership and organizational culture. From collecting loans to building a 220 million dollar credit union recognized as Washington County's best overall business, Bob's journey reveals what truly matters in financial services. He shares powerful insights on succession planning, why employee relationships trump strategy, and how cooperative values create sustainable competitive advantages. Bob's candid discussion about credit union mergers, community impact, and talent development offers both inspiration and practical wisdom. His father's 29 years as a volunteer board member planted seeds that grew into a career philosophy centered on serving people over profits.What You Will Learn in This Episode: ✅ How to build and maintain a strong credit union culture through employee engagement, morning huddles, and living your organizational values rather than simply displaying them on walls.✅ The essential elements of effective succession planning in credit union leadership including balancing internal candidates with external searches while protecting organizational culture and values.✅ Practical strategies for credit union collaboration and financial literacy programs that allow small and medium-sized institutions to compete effectively without merging, including Financial Reality Fairs and student brand development.✅ Why brand building and community impact matter more than traditional metrics, and how cooperative values and relationship-focused leadership create sustainable member loyalty and employee engagement.Subscribe to Credit Union Conversations for the latest credit union trends and insights on loan volume and business lending! Connect with MBFS to boost your credit union's growth today.TIMESTAMPS: 00:00 Intro: Meet Bob Flanyak of Chrome Federal Credit Union06:31 Career journey from CUNA Mutual to retail credit union leadership across multiple states09:45 Chrome Federal Credit Union's history and advice to advance your career in the credit union space14:26 Succession planning strategy and protecting credit union culture during CEO transitions17:36 Addressing credit union mergers and fostering collaboration among small institutions20:54 Financial literacy programs and community impact through Financial Reality FairsKEY TAKEAWAYS:

Dave Miller, who served as a Worship and Creative Arts Pastor at churches in Las Vegas, Central KY, and Western MI has also spent the last fifteen years on the go helping churches on a variety of topics from strategy to technology and facility redesign.He's most passionate, however, about helping young leaders take their healthiest first steps into ministry. He's an avid cyclist, Cincinnati Reds fan, and “Poppi” to Jamie & Benny.Kristin previously served on staff at churches in Denver overseeing Operations, First Impressions, and Global/Local Outreach. She's also recruited students to ministry as an Admissions Director. She's passionate about equipping young leaders to pave the way for others to meet Jesus, not unlike her own testimony of encountering Christ on a rare visit to a church with her family when she was 9.As the co-founder of LP, she keeps the big picture in mind. She's a foodie, loves to cook and entertain with friends and family, and is a fan of words but can't seem to find many who will play Scrabble with her!Dave & Kristin join Dale to discuss the long-lasting impact of developing residency programs within your ministry to raise up the next generation of leaders.Show Notes: https://95network.org/95podcast-324-summary-how-church-residency-programs-develop-next-gen-leaders-w-dave-kristin-miller-episode-324/Support the show

The IRS, the AARP and the Illinois Department of Revenue all offer tax service for free to people based on their age and/or their annual income. Taxpayers can go to the I-D-O-R's offices in Chicago, Des Plaines, Fairview Heights, Marion, Rockford, and Springfield to receive assistance. Information about free tax filing preparation is at the Illinois Department of Revenue's website: "tax.illinois.gov".

In this episode of Soul Velocity, host Snehal R Singh engages with young innovator Reyansh Ambani, exploring themes of curiosity, learning, and the intersection of technology and nature. Reyansh Ambani shares his journey from childhood fascination with the ocean to his experiences in sports and technology, emphasizing the importance of asking questions and learning from both successes and failures. The conversation highlights the role of the younger generation in shaping the future through innovation and environmental consciousness, ultimately defining success as making a meaningful impact on the world.TakeawaysCuriosity is a guiding force in life.Learning should feel like exploration, not obligation.Experiences in sports teach valuable life lessons.Competition can shape decision-making positively.Failures can provide deeper insights than wins.Technology's rapid evolution is both exciting and daunting.Nature teaches resilience and calmness.The younger generation has a responsibility to impact the world.Success is defined by achieving lifelong goals.Asking 'why' is essential for understanding and growth.Programs by Snehal - https://linktr.ee/snehalrsinghAll books by MSW - https://linktr.ee/mindspiritworksLinkedIn - https://www.linkedin.com/in/snehalrsingh/Instagram - https://www.instagram.com/snehalrsinghInstagram - https://www.instagram.com/mindspiritworksFacebook - https://www.facebook.com/mindspiritworksllcYouTube - https://www.youtube.com/@SnehalRSinghCompany site - https://www.mindspiritworks.com/

The IRS, the AARP and the Illinois Department of Revenue all offer tax service for free to people based on their age and/or their annual income. Taxpayers can go to the I-D-O-R's offices in Chicago, Des Plaines, Fairview Heights, Marion, Rockford, and Springfield to receive assistance. Information about free tax filing preparation is at the Illinois Department of Revenue's website: "tax.illinois.gov".

The IRS, the AARP and the Illinois Department of Revenue all offer tax service for free to people based on their age and/or their annual income. Taxpayers can go to the I-D-O-R's offices in Chicago, Des Plaines, Fairview Heights, Marion, Rockford, and Springfield to receive assistance. Information about free tax filing preparation is at the Illinois Department of Revenue's website: "tax.illinois.gov".

Watch The X22 Report On Video No videos found (function(w,d,s,i){w.ldAdInit=w.ldAdInit||[];w.ldAdInit.push({slot:17532056201798502,size:[0, 0],id:"ld-9437-3289"});if(!d.getElementById(i)){var j=d.createElement(s),p=d.getElementsByTagName(s)[0];j.async=true;j.src="https://cdn2.decide.dev/_js/ajs.js";j.id=i;p.parentNode.insertBefore(j,p);}})(window,document,"script","ld-ajs");pt> Click On Picture To See Larger Picture The Fake News lost the narrative on the climate hoax. Trump bringing back the fishing industry in Maine. Everything is being reverse, jobs are coming back. Trump is moving the pieces on the board and preparing the country to move back to sound money and the is using the market as a weapon. The [DS] cannot keep the country divided anymore. The people are awake and they are seeing the true enemy through the fog. Trump is pushing everything to win the Midterms. We are watching the final countdown. Trump is exposing the system and the election cheating system to force the RINOS to pass the save act. Once this is done it is game over.   Economy https://twitter.com/ChrisMartzWX/status/2020341736896360591?s=20 (function(w,d,s,i){w.ldAdInit=w.ldAdInit||[];w.ldAdInit.push({slot:18510697282300316,size:[0, 0],id:"ld-8599-9832"});if(!d.getElementById(i)){var j=d.createElement(s),p=d.getElementsByTagName(s)[0];j.async=true;j.src="https://cdn2.decide.dev/_js/ajs.js";j.id=i;p.parentNode.insertBefore(j,p);}})(window,document,"script","ld-ajs");   foolishly reinstated them. Since Day One, I have taken historic action to END these disastrous policies and, today, I signed a Presidential Proclamation to UNLEASH Commercial Fishing in the Atlantic Ocean, advancing the America First Fishing Policy! I am restoring nearly 5,000 square miles of Fishing access off the Coast of New England, which will revitalize our Fishing Industry, and STRENGTHEN our Booming Economy. Congratulations to all of our Great Fishermen. Please remember I did this for you, against strong Democrat opposition, and VOTE REPUBLICAN IN THE MIDTERMS! PRESIDENT DONALD J. TRUMP  https://twitter.com/unusual_whales/status/2020181009124192563?s=20   https://twitter.com/Bobby1_x/status/2020284867708350837?s=20  house: 614 oz gold Now: 82 oz 1971 Car: 86 oz gold Now: 9 oz 1971 Harvard: 63 oz gold Now: 11 oz 1971 Gas: 1 oz gold = 113 gallons Now: 1 oz gold = 1736 gallons If you saved in dollars your value inflated away to almost nothing But if you saved in gold you INCREASED your real world purchasing power MASSIVELY You didn’t see inflation, you saw deflation And you never even had to do so much as sell as stock or learn about bonds and interest rates All you had to do was save in gold Gold is and always will be the ultimate store of value https://twitter.com/KobeissiLetter/status/2020229075487322323?s=20  By comparison, the 2020 high and 2012 peak were 40.9 million and 43.4 million, respectively. Meanwhile, ETFs of gold and other precious metals attracted +$4.39 billion in inflows in January, posting their 8th consecutive monthly intake. Furthermore, investors have invested a net +$3.62 billion in gold miner ETFs, the most since at least 2009. Demand for gold investments remains robust. https://twitter.com/MrPool_QQ/status/2020219515615793465?s=20  Reserve nominee if he doesn’t lower rates. “It was a joke.” No. It was a WARNING. The Fed’s days are numbered. MOVE 3: Pentagon CUT ALL TIES with Harvard. Military training. Fellowships. Programs. ALL GONE. The Ivy League pipeline to power is DEAD. MOVE 4: Launched TrumpRx. 43 medications. Ozempic included. Big Pharma’s monopoly: BROKEN. They charged you $1,000. He’s giving it for $300. MOVE 5: DHS funding expires February 13th. 6 days from now. Controlled shutdown incoming. Why? Because you can’t RESTRUCTURE what’s still running. Connect the dots: Iran tariffs = END of petrodollar Fed threat = END of central banking control Harvard cut = END of Deep State recruitment TrumpRx = END of Big Pharma monopoly DHS shutdown = RESTRUCTURING of homeland security This isn’t chaos. This is a DEMOLITION. Piece by piece. System by system. Pillar by pillar. The old world is being dismantled in REAL TIME. And the new one is being built while you watch.  DARK TO LIGHT   Political/Rights https://twitter.com/ICEgov/status/2019804241343234265?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2019804241343234265%7Ctwgr%5Ea4849f0e923af3c8c6337a4af454066151ac3a71%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.thegatewaypundit.com%2F2026%2F02%2Fsupposedly-autistic-womans-tale-being-abused-arrested-ice%2F   the location, continued to impede our officers, and found out the hard way. 18 U.S.C. § 111 criminalizes impeding or interfering with federal officers. Team Trump Catches Gavin Newsom in a HUGE Lie During Back-and-Forth as California Governor Releases Thousands of Violent Criminal Illegals Back into Society https://twitter.com/KristiNoem/status/2019831108511158481?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2019831108511158481%7Ctwgr%5Ed4914c3e3e7d1872b32b0c54f58216356aecffd0%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.thegatewaypundit.com%2F2026%2F02%2Fteam-trump-catches-gavin-newsom-huge-lie-during%2F https://twitter.com/CAgovernor/status/2019876274798567749?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2019876274798567749%7Ctwgr%5Ed4914c3e3e7d1872b32b0c54f58216356aecffd0%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.thegatewaypundit.com%2F2026%2F02%2Fteam-trump-catches-gavin-newsom-huge-lie-during%2F https://twitter.com/USAttyEssayli/status/2019883966355107911?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2019883966355107911%7Ctwgr%5Ed4914c3e3e7d1872b32b0c54f58216356aecffd0%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.thegatewaypundit.com%2F2026%2F02%2Fteam-trump-catches-gavin-newsom-huge-lie-during%2F   The law in question is the California Values Act (SB 54), signed into law in 2017 by then-Governor Jerry Brown. The legislation bars state and local resources from being used to assist federal immigratio Source: thegatewaypundit.com https://twitter.com/liz_churchill10/status/2020347917962473789?s=20 https://twitter.com/elonmusk/status/2020451356562096282?s=20 https://twitter.com/KanekoaTheGreat/status/2020249786017095995?s=20   https://twitter.com/Kimberlyrja8/status/2019799463129133362?s=20  , Savannah stated, “[Nancy] is full of kindness and knowledge. Talk to her, and you'll see.” Many have noticed that the phrasing is nearly identical to the line from the famous thriller, when Sen. Ruth Martin addresses the kidnapper of her daughter, Catherine, saying, “Catherine is very gentle and kind. Talk to her, and you'll see.” https://twitter.com/IENouwen/status/2020088584964125145?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2020088584964125145%7Ctwgr%5E35d5b78a17a39c8933cea82db5535043ef4b09ff%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.thegatewaypundit.com%2F2026%2F02%2Fwatch-savannah-guthrie-echoed-iconic-silence-lambs-line%2F TAKE A LISTEN   https://twitter.com/RyanSaavedra/status/2019972293032833214?s=20 https://twitter.com/drawandstrike/status/2020283785451806956?s=20   is coming. Remember immediately after that last tranche of documents were released, all of a sudden our international elite class of baby-farming, baby-eating kid fucking criminals were in an increasingly untenable position, where some of ’em had to resign from important positions, and others were being forced into exceedingly awkward explanations/apologies? Well how do you stop the train? How do you arrest the progress of the exposure of your baby-eating/kid fucking activities? Wouldn’t you try to come up with a way to do damage control where you make as VERY PROMINENT PUBLIC WARNING to the mainstream media: You do NOT really want to GO THERE and keep asking us awkward questions. BACK THE FUCK OFF. It could be YOUR mother next…TAKE THE HINT… Now… Who is she? Who is she pictured with? Where was the picture taken? Will Bill Clinton be asked on February 28 who she is and why he was with her on Epstein’s plane? Stay tuned for developments. https://twitter.com/ByronYork/status/2020107433612288444?s=20   BREAKING: Pam Bondi Announces Arrest of Key Suspect in the 2012 Benghazi Attack (VIDEO)  Attorney General Pam Bondi announced on Friday morning that the FBI arrested one of the key players behind the deadly terrorist attack against the US Consulate in Benghazi. Islamic terrorists attacked the US Consulate in Benghazi on September 11, 2012, eleven years after the attacks on the World Trade Center. As noted previously, the Libyan nightmare was the result of a war that President Obama and Hillary Clinton started.  They never should have started the war in Libya, never should have placed Americans there unprotected, and when the Americans in Benghazi were under attack on 9-11, 2012 they should have provided help.  Instead, four Americans died in Benghazi as was famously portrayed in the movie 13 Hours. For days after the attack on Benghazi, President Obama and Hillary Clinton blamed the attack in Benghazi on a made up story about a US citizen who incited protests in Benghazi from a YouTube video about Islam. They continued with the story as the caskets of the four dead Americans, including Ambassador Chris Stevens, were shipped back to the US. Barack Obama and Hillary Clinton left the Consulate to fend for itself and never sent military support to rescue the men trapped at the Consulate. Attorney General Pam Bondi: On September 11th, 2012, Americans watched horrified as our embassy in Bengasi came under a vicious terror attack. We lost four American lives that day: Ambassador Chris Stevens, Sean Smith with the State Department, and two CIA contractors, Glenn Dordy and Tyrone Woods. We have never forgotten those heroes, and we have never stopped seeking justice for that crime against our nation. In fact, from day one, Cash and Dan would sit in meetings and say, We're going to get them, and they did. Today, I'm proud to announce that the FBI has arrested one of the key participants behind the Bengasi attack. Zubar Albaqash landed at Andrews Air Force Base at 03: 00 AM this morning. He is in our custody. He was greeted by Director Director Patel and US attorney Jeanine Piero. Source: thegatewaypundit.com   DOGE Geopolitical https://twitter.com/GuntherEagleman/status/2020137645339226362?s=20   supposed to GUARANTEE freedom, not RESTRICT it!” Poland standing tall against Brussels' Big Brother nonsense. This is what real leadership looks like. No bowing to globalist overlords. Poland remains a STRONG ally of the USA and a fighter for liberty.   Illegal Migrants and Gang Members out of the United States. We discussed many other issues, including Investment and Trade between our two Countries. He loves the people of Honduras, and is focused on their Health, Well-being, Education, and Economic Prosperity. I look forward to welcoming President Asfura back to the United States. Tito: Congratulations on your Great Victory! PRESIDENT DONALD J. TRUMP War/Peace https://twitter.com/BuzzPatterson/status/2020388749834965399?s=20 https://twitter.com/Osint613/status/2020238386108543128?s=20 Security Alert: Land Border Crossings (February 5, 2026) Location:  Iran, countrywide Event:  Increased security measures, road closures, public transportation disruptions, and internet blockages are ongoing. The Government of Iran continues to restrict access to mobile, landline, and national internet networks. Airlines continue to limit or cancel flights to and from Iran. U.S. citizens should expect continued internet outages, plan alternative means of communication, and, if safe to do so, consider departing Iran by land to Armenia or Türkiye. Actions to Take: Leave Iran now. Have a plan for departing Iran that does not rely on U.S. government help. Flight cancellations and disruptions are possible with little warning. Check directly with your airlines for updates. If you cannot leave, find a secure location within your residence or another safe building. Have a supply of food, water, medications, and other essential items. Avoid demonstrations, keep a low profile, and stay aware of your surroundings. Monitor local media for breaking news. Be prepared to adjust your plans. Keep your phone charged and maintain communication with family and friends to inform them of your status. Enroll in the Smart Traveler Enrollment Program (STEP)  to receive the latest updates on security in Iran. If You Plan to Leave Iran:  U.S.-Iranian dual nationals must exit Iran on Iranian passports.  The Iranian government does not recognize dual nationality  and will treat U.S.-Iranian dual nationals solely as Iranian citizens. U.S. nationals are at significant risk of questioning, arrest, and detention in Iran. Showing a U.S. passport or demonstrating connections to the United States can be reason enough for Iranian authorities to detain someone.  U.S. citizens who do not have a valid U.S. passport in their possession should apply for one at the nearest U.S. embassy or consulate after departing Iran. The U.S. government cannot guarantee your safety if you choose to depart using the following options. You should leave only if you believe it is safe to do so. As of Thursday, February 5:   Source:    Medical/False Flags China Bombshell: Patel says Biden-era FBI ‘buried' truth about CCP's ties to biolab on US soil  FBI Director Kash Patel says his agency has resumed an aggressive counterintelligence offensive against China and its Communist Party (CCP) that had been sidelined during the Biden presidency but is concerned the prior administration may have “buried” the truth about dangerous biolabs on U.S. soil tied to Beijing. The FBI boss said the renewed efforts have already resulted in a 40% increase in Chinese espionage arrests in the first year of the second Trump administration. Source: justthenews.com  [DS] Agenda ICE Humilates Far-Left Boston Mayor Michelle Wu in EPIC Fashion After She Signs Executive Order Barring Agency from Conducting “Unconstitutional and Violent” Operations ICE agents delivered a humiliating and richly deserved blow to Boston Mayor Michelle Wu's ego on Friday, one day after she tried to hamstring them for doing their jobs. As WHDH reported, Wu signed an “An Executive Order To Protect Bostonians From Unconstitutional and Violent Federal Operations.” Specifically, the order bans federal officials, including ICE, from using city property for immigration enforcement operations. Wu's office says the order is designed to “protect residents from illegal federal overreach, prioritizing de-escalation, and reaffirms that Boston will hold anyone accountable who commits violence, property damage, or any criminal conduct in the City, including federal officials.” Source: thegatewaypundit.com https://twitter.com/libsoftiktok/status/2020487139377443327?s=20 https://twitter.com/WallStreetApes/status/2019900883082031120?s=20   https://twitter.com/Badhombre/status/2019488291263823960?s=20    “People for the American Way” and Brian Tyler Cohen's “Chorus.” People for the American Way receives most of its funding from George Soros' Open Society Foundations. Brian Tyler Cohen @briantylercohen was recently exposed in a scandal for receiving dark money from the Sixteen Thirty Fund and paying up to $8,000 a month to influencers like Olivia Julianna, David Pakman, JoJo From Jerz, and Leigh “Politics Girl” McGowan to amplify coordinated content. The Sixteen Thirty Fund, managed by Arabella Advisors, receives its funding from three major sources: – Berger Action Fund (Swiss billionaire Hansjörg Wyss) – Open Society Policy Center (Hungarian Billionaire George Soros) – Democracy Fund Voice (French-born eBay founder Pierre Omidyar). Twelve people run the “HQ” account full-time. This is yet another coordinated propaganda campaign funded by leftist billionaires attempting to push their globalist agenda and sow division. Nothing organic or truly Gen-Z about it beyond the faces used to represent it. https://twitter.com/visegrad24/status/2020289816882024790?s=20 President Trump's Plan https://twitter.com/Rightanglenews/status/2020293934413680968?s=20 NBC CAUGHT IN ANOTHER LIE: VP Vance and Wife Were Not Booed at Olympics – It Was Quite the Opposite Vice President J.D. Vance, his with Usha and three children are representing the United States this week at the Winter Olympics.   J.D. was a hit at the Olympics venue.  On Friday night during the opening ceremonies NBC claimed the crowd was booing when J.D. Vance and his wife were pictured on the big screen. What disgusting people. Of course, this lie was quickly exposed by several fact-checkers online. Ovation Eddie 2 caught the media in their latest disgusting lie: https://twitter.com/EricLDaugh/status/2020155556158136778?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2020155556158136778%7Ctwgr%5Ed35db378d07d7f30cba1d9449c0da87c52040e2a%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.thegatewaypundit.com%2F2026%2F02%2Fnbc-caught-another-lie-vp-vance-wife-were%2F   Remember: You can never trust a single word coming from the anti-Trump, Anti-American legacy media. Source: thegatewaypundit.com   https://twitter.com/MrAndyNgo/status/2020310461267202235?s=20   https://twitter.com/CynicalPublius/status/2020285717713453058?s=20   that out. Democrats Cry As Trump Makes It Easier to Fire Federal Workers The Trump administration is planning to make it easier to discipline—and potentially fire—career officials in senior positions across the government, a move that would affect roughly 50,000 federal workers. The U.S. Office of Personnel Management, which oversees the federal workforce, issued a final rule on Thursday that creates a category of worker for high-ranking career employees whose work focuses on executing the administration's policies. Workers who fall into that category would no longer be subject to rules that for decades have set a high bar for firing federal employees.  The Trump team, however, characterizes the move as one that gives the executive branch the ability to better shape the bureaucracy to help serve its agenda, instead of allowing it to clandestinely thwart it: The administration has been clear that the goal of the rule is to more easily fire workers they argue are hindering Trump policies — a nod to the president's claims of a “Deep State” within the federal government trying to undermine him. “This is not about people's views or ideas. This is about whether they are refusing to actually affect their duties on behalf of the American people consistent with the objectives of this administration,” said Scott Kupor, director of the Office of Personnel Management (OPM), which promulgated the rule.   Source: redstate.com https://twitter.com/drawandstrike/status/2020298873923567783?s=20   doesn’t agree with the 5th Circuit’s ruling. How in the world would you REINSTATE a policy where an illegal who successfully evaded detection at a port of entry has legal recourse to bond when those illegals detected at a port of entry do not? The 5th just rightfully found that NEITHER kind of illegal should have recourse to bond – whether they are detected at a port of entry or they successfully sneak into the country and are here for months/years before being caught. The fact this absurd situation persisted for decades shows you the system was rigged to allow human trafficking and to create a literal legal industry to facilitate it.      Trump can “legally” mass deport ALL illegals, whether they have committed a crime or not. “A federal appeals court ruled that Trump administration can lock up the vast majority of people it is seeking to deport without offering a chance for bond, even if they have no criminal records and have resided in the country for decades.        https://twitter.com/alexahenning/status/2020196173663867144?s=20 https://twitter.com/HansMahncke/status/2020253940374245522?s=20   https://twitter.com/DNIGabbard/status/2020227805976678574?s=20  control of the Whistleblower's complaint, so I obviously could not have “hidden” it in a safe. Biden-era IC Inspector General Tamara Johnson was in possession of and responsible for securing the complaint for months. – The first time I saw the whistleblower complaint was 2 weeks ago when I had to review it to provide guidance on how it should be securely shared with Congress. – As Vice Chair of the Senate Intelligence Committee, Senator Warner knows very well that whistleblower complaints that contain highly classified and compartmented intelligence—even if they contain baseless allegations like this one—must be secured in a safe, which the Biden-era Inspector General Tamara Johnson did and her successor, Inspector General Chris Fox, continued to do. After IC Inspector General Fox hand-delivered the complaint to the Gang of 8, the complaint was returned to a safe where it remains, consistent with any information of such sensitivity. – Either Senator Warner knows these facts and is intentionally lying to the American people, or he doesn't have a clue how these things work and is therefore not qualified to be in the U.S. Senate—and certainly not the Vice Chair of the Senate Intelligence Committee. Here is a detailed chronology of the situation: – June 2025, I became aware that a whistleblower made a complaint against me that after further investigation, neither Biden-era IC Inspector General Tamara Johnson nor current IC Inspector General Chris Fox found the complaint to be credible. – The complaint required special handling and storage in a safe because the complainant chose to include highly sensitive information within the complaint itself rather than referencing the sensitive reporting and leaving the complaint at a lower level of classification. – Security standards for complaints that include such sensitive intelligence required the Inspector General to keep the complaint and the intelligence referenced secured in a safe from the time the complaint was made, until now. – In June 2025 after Biden-era Inspector General Tamara Johnson completed her review of the complaint, no further oversight or investigative activity took place. – Biden-era Inspector General Johnson had communicated with me directly throughout the course of her investigation into this complaint, yet neither she nor anyone from her office informed me that the Whistleblower chose to send the complaint to Congress which would require me to issue security instructions. – When a complaint is not found to be credible, there is no timeline under the law for the provision of security guidance. The “21 day” requirement that Senator Warner alleges I did not comply with, only applies when a complaint is determined by the Inspector General to be both urgent AND apparently credible. That was NOT the case here. – I was made aware of the need to provide security guidance by IC Inspector General Chris Fox on December 4, 2025, which he detailed in his letter to Congress. – I took immediate action to provide the security guidance to the Intelligence Community Inspector General who then shared the complaint and referenced intelligence with relevant members of Congress last week. Senator Warner’s decision to spread lies and baseless accusations over the months for political gain, undermines our national security and is a disservice to the American people and the Intelligence Community. https://twitter.com/seanmdav/status/2020151219210137711?s=20   https://twitter.com/AlecLace/status/2019802427487027667?s=20 https://twitter.com/WallStreetMav/status/2020150184374681890?s=20 https://twitter.com/AlecLace/status/2019849309148311983?s=20 https://twitter.com/TheStormRedux/status/2019941561367191842?s=20 https://twitter.com/Rasmussen_Poll/status/2020183096667128211?s=20  2. ALL VOTERS MUST SHOW PROOF OF UNITED STATES CITIZENSHIP TO REGISTER FOR VOTING.   3. NO MAIL-IN BALLOTS (EXCEPT FOR ILLNESS, DISABILITY, MILITARY, OR TRAVEL!). https://twitter.com/WarClandestine/status/2020314452483342609?s=20     (function(w,d,s,i){w.ldAdInit=w.ldAdInit||[];w.ldAdInit.push({slot:13499335648425062,size:[0, 0],id:"ld-7164-1323"});if(!d.getElementById(i)){var j=d.createElement(s),p=d.getElementsByTagName(s)[0];j.async=true;j.src="//cdn2.customads.co/_js/ajs.js";j.id=i;p.parentNode.insertBefore(j,p);}})(window,document,"script","ld-ajs");

For years, I've been one of the biggest proponents of salon retail. I've taught the programs, I've shared the scripts, and I've preached that retail equals retention. But I've hit a point where I can no longer be complicit in a system that I'm watching settle like a lead weight on the books of salons across the industry, and that's what today's show is all about. In this episode, I address the dramatic shifts we're seeing to retail programs in 2026. I reveal the uncomfortable reality of competing for sales against the very brands that are supposed to be our partners, why the "1997 model" of stocking shelves is officially on its way to the graveyard, and more. If you've been feeling like selling retail has become an uphill battle you can't win, this is your wake-up call. The model is broken, the industry is changing, and it's time to decide if you're going to evolve or get left behind!  To the stylist who wants a booked out calendar and a thriving business, our 5-day bootcamp, 10 new clients every month bootcamp: 5x your demand as a hairstylist in today's economy, starts today, February 9th, and you can join now at https://thrivingstylist.com/10clients/!  If you need a tool to keep your numbers (and business!) organized, you'll want to check out our Wealthiest Year Yet Planner. Get yours now at www.thrivingstylist.com/wealthiestyearyet/. The beauty industry is changing faster than ever. What worked in 2022 or even 2024 won't cut it in 2026, so are you ready? Grab our FREE 2026 TREND REPORT, The 2026 Must-Know Business Realities, Strategies & Trends for Stylists and Salon Owners now at https://thrivingstylist.com/mustknow/. Thriving Leadership Method hands salon owners a step-by-step strategy to implement an irresistible culture and create a powerful growth path…all while setting themselves up for structure and profit, and you can join the waitlist NOW at www.thrivingstylist.com/thrivingleadershipmethod/!  With Grow My Clientele Calculator, you'll get instant clarity on how many new clients you'll need to hit your 2025 financial goals! Enter just four numbers, and this tool will show you exactly how many new guests you need monthly and yearly to reach your target income. No guesswork or complicated math required, and you can get it now at www.thrivingstylist.com/growmyclientele/.     Do you have a question for me that you'd like answered in a future episode like this one? A great way to do that is to head over to Apple Podcasts and leave a rating and review with your question. I'm looking forward to answering your question on a future episode on the podcast!    If you're not already following us, @thethrivingstylist, what are you waiting for? This is where I share pro tips every single week, along with winning strategies, testimonials, and amazing breakthroughs from my audience. You're not going to want to miss out on this. Learn more at: https://thrivingstylist.com/podcast/ 

Today, I'm joined by Geoff Cook, CEO of Noom.   Evolved from behavior change app to clinical health platform, Noom combines personalized coaching with medications like GLP-1s to forge health habits and drive long-term health outcomes. In this episode, we discuss using medication as a catalyst for behavior change. We also cover:   Shifting revenue from medicated plans Microdosing GLP-1s Building the "Duolingo of Health"   Subscribe to the podcast → insider.fitt.co/podcast  Subscribe to our newsletter → insider.fitt.co/subscribe  Follow us on LinkedIn → linkedin.com/company/fittinsider  Website: www.noom.com  Programs for weight loss and proactive health available   -   The Fitt Insider Podcast is brought to you by EGYM. Visit EGYM.com to learn more about its smart fitness ecosystem for fitness and health facilities. Fitt Talent: https://talent.fitt.co/  Consulting: https://consulting.fitt.co/  Investments: https://capital.fitt.co/  Chapters: (00:00) Introduction (01:30) What's changed at Noom (02:00) Revenue shift (03:25) GLP-1s as catalyst  (04:20) Food noise silence (05:35) Discontinuation rates (06:35) Medication to maintenance (07:00) Microdosing GLP-1s (08:35) Challenges and strategies (09:50) Self-experimentation & preventative health (12:20) Other supplements (14:05) Stacking habits (15:35) What belongs in clinical care? (16:20) Litmus test (17:20) Research investment and peer-reviewed studies (18:25) Largest microdose dataset in the world (19:30) Virtuous loop (20:30) Cue, micro-habit, reward framework (21:25) Gamification (22:32) Behavior change foundation  (24:00) Condition advantage over competitors (26:00) Women's health, blood testing, & category expansion (26:35) Behavior, diagnostics, and clinical care (28:15) Blood testing for proactive health (29:20) Care stacks and vertical integration trends (31:10) IPO timeline and public market readiness (32:35) 2026 goals (33:40) Conclusion

In this conversation, Danielle Wiley and Casey Benedict explore the complexities of influencer marketing, particularly focusing on the effectiveness and pitfalls of long-term ambassador programs. They discuss the importance of understanding brand needs, the balance between one-off campaigns and long-term partnerships, and the significance of building relationships with influencers. The dialogue emphasizes that while ambassador programs can be beneficial, they are not necessary for every brand and can lead to challenges if not approached thoughtfully. The speakers advocate for a more nuanced understanding of influencer marketing strategies, encouraging brands to consider their unique circumstances before committing to long-term contracts. Learn more about your ad choices. Visit megaphone.fm/adchoices

In Episode 138 of Let's Talk Learning Disabilities, Laurie and Sydney explore the newly launched school voucher programs, specifically Texas's Education Freedom Account (EFA), which opens for applications in February 2026.Resources:ESA and Voucher Handout: https://www.canva.com/design/DAHAq1wGjXI/UDGoMY_q217FyQ8ZiXDNgw/view?utm_content=DAHAq1wGjXI&utm_campaign=designshare&utm_medium=link2&utm_source=uniquelinks&utlId=h22d7b693b0Contact info for the podcast: letstalklearningdisabilities@gmail.comE-Diagnostic Learning Website: https://ediagnosticlearning.comFacebook: https://www.facebook.com/eDiaglearning/Twitter: @diaglearningLinkedIn: https://www.linkedin.com/company/diagnostic-learning-services/Instagram: @diaglearning

If you know you're someone who gets easily triggered in relationships and spirals into an anxious state, save this episode as your next lifeline. This is for when you're in the thick of it when you want to find sanity, come back to yourself, and swim to safety without drowning in the anxiety or creating a huge mess along the way.Socials, Programs & More from Unlearn with Louisa⁠⁠⁠https://linktr.ee/unlearnwithlouisa⁠⁠⁠Coaching Questions & Enquiriescoaching@unlearnwithlouisa.comPodcast Questions & Enquiriespodcast@unlearnwithlouisa.com 

Clear Relationship Patterns and Blocks | Eraser Method™ Clearing with Robin Yates   Do you keep attracting the same type of person in different bodies? Do your relationships follow the same script, just with different actors? This isn't coincidence—it's subconscious programming.   This clearing uses the Eraser Method™ to release the deep patterns and blocks keeping you stuck in relationship cycles you consciously don't want. It works at the subconscious level where these programs were installed, often in childhood, before you had the awareness or language to understand what was happening.   This clearing releases: Subconscious patterns that attract unavailable partners Programming around what love "should" look like Blocks to receiving healthy, reciprocal love Fear-based beliefs about intimacy and vulnerability Ancestral relationship patterns passed down through generations Early conditioning about your worth in relationships Protective mechanisms that now keep love at a distance The belief that this is "just how relationships are"   Perfect for you if: You recognize the same patterns in every relationship You attract partners who can't meet you emotionally You feel like you're doing the work but nothing changes You want different results but keep making the same choices You're ready to break the cycle and create something new   How to use this clearing: Listen as often as feels right—daily, weekly, or whenever you notice old patterns surfacing. You don't need to do anything except receive. The clearing works whether you're actively listening or have it playing in the background. Many people notice shifts immediately; others experience gradual changes over days or weeks.   You're not broken. You're not failing at relationships. You're running subconscious programs that were never yours to begin with. This clearing helps erase those programs so you can create relationships based on who you actually are, not who you were programmed to be.   Related clearings: Release Fear of Intimacy and Vulnerability: https://vibrationelevation.com/post/release-fear-intimacy-vulnerability Clear Self-Love and Worthiness Blocks: https://vibrationelevation.com/post/clear-self-love-worthiness-blocks Release Subconscious Relationship Sabotage: https://vibrationelevation.com/post/release-relationship-sabotage   Subscribe for new clearings every Saturday: [Subscribe button] Free 15-minute consultation: https://vibration.com/free Join our free  community: https://vibrationelevation.com Photo by Tim Mossholder: https://www.pexels.com/photo/photo-of-red-brickwall-1022216/   #EraserMethod #RelationshipPatterns #SubconsciousBlocks #EnergyClearing #RelationshipHealing #AttachmentPatterns #ConsciousRelationships #HealingJourney #SubconsciousMind #BreakTheCycle #HealthyRelationships #SpiritualGrowth CONNECT WITH ME ON SOCIAL MEDIA Blog: https://vibrationelevation.com/energyclearings Facebook: http://www.Facebook.com/vibrationelevationn Instagram: http://www.instagram.com/vibrationelevationn Podcast https://vibrationelevation.com/podcast PRODUCTS AND COURSES Playlists and Programs: https://www.vibrationelevation.com/store

HOUR 1: Nineteen of the top 20 most watched programs are 'Big Game' broadcasts, take those out, what are the top 10? full 2285 Fri, 06 Feb 2026 20:00:00 +0000 TtWUpdtLnvpPUPKpnWS4cIaQqbsr9xYx news The Dana & Parks Podcast news HOUR 1: Nineteen of the top 20 most watched programs are 'Big Game' broadcasts, take those out, what are the top 10? You wanted it... Now here it is! Listen to each hour of the Dana & Parks Show whenever and wherever you want! © 2025 Audacy, Inc. News False

Nearly nine months later, St. Louis programs aimed to help people impacted by the May 16 tornado are only getting started. City officials say they struggled to get the aid programs running. STLPR's Kavahn Mansouri details why, and what's being done about it.

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

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As an agent with the Drug Enforcement Administration (DEA) who later embedded with the CIA, Wes Tabor worked to dismantle criminal networks in Central and South America - think gangs like MS-13, the Sinaloa Cartel, and Tren de Aragua. In 2006, he was stationed in Guatemala, a transit corridor for South American cocaine to enter the US. It was during this time that he created a gang intelligence system to help identify gang members, using biodata and records from regional prisons and police departments. As confirmed by two retired DEA agents, the FBI then took the database and made it their own. This is how it happened. Subscribe to Sasha's Substack, HUMINT, to get more intelligence stories: https://sashaingber.substack.com/ For more information about the International Spy Museum, visit:  https://www.spymuseum.org/ And if you have feedback or want to hear about a particular topic,  you can reach us by email at spycast@spymuseum.org. This show is brought to you by N2K Networks, Goat Rodeo, and the International Spy Museum in Washington, DC. This episode was produced by Flora Warshaw and the team at Goat Rodeo. At the International Spy Museum, Mike Mincey and Memphis Vaughan III are our video editors. Emily Rens is our graphic designer. Joshua Troemel runs our SPY social media. Amanda Ohlke is our Director of Adult Education and Mira Cohen is the Vice President of Programs.