Podcasts about models

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"I just want to say one word to you.  One word.  Plastics… There's a great future in plastics." This iconic line from the movie The Graduate is at the top of my mind when I think about where we are heading in healthcare. I've interpreted "plastics" as symbolizing a dystopian, mass-produced future of medicine—where artificiality and inauthenticity dominate in the pursuit of efficiency and profit margins. After listening to today's podcast on the growth of community-based palliative care, I find my perspective shifting on this quote. Perhaps the advice given for a future in plastics reflects the past generation's established worldview, failing to recognize a countercultural revolution seeking transformation and meaningful change, even if it may come across as a little brash. In this thought-provoking episode of the GeriPal podcast, we are joined by Alan Chiu (Chief of Palliative Care at Monogram Health), Mindy Stewart-Coffee (National Vice President of Palliative Care at Optum Home and Community), and Ben Thompson (National Medical Director for Hospice and Palliative Care at Gentiva) to discuss this revolution happening in palliative care. The conversation centers around the rapid growth and investment in community-based palliative care, which has emerged as a key area of innovation and opportunity to meet the largely unmet needs of patients living with serious illnesses. With a focus on expanding access, improving outcomes, and addressing workforce shortages, the guests explore how value-based care models are reshaping palliative care delivery. The discussion highlights the differences between traditional fee-for-service models and newer value-based care approaches, including how they incentivize care. We take a deep dive into the risks and benefits of these models, emphasizing the importance of maintaining high standards of care while fostering innovation. We also delve into the role of for-profit organizations and private equity in driving change, acknowledging concerns about motivations while recognizing that these entities can help spur innovation and improve access when led by clinicians committed to patient-centered care. Ultimately, this podcast serves as a call to action for the palliative care community to help shape not just the "Wild West" of community-based care, but palliative care 3.0 as a whole. Do we sit back and wait for a future dominated by a plastic version of palliative care, or do we help lead this revolution to ensure it maintains the authentic heart of what brought us to this field?  As Diane Meier aptly warns, "if you are not at the table, you're on the menu." Eric Widera Of Note: the views expressed in this podcast are our guests' own opinions and not representative of their organizations.

This episode features one of the most raw, real, and insightful convos we've had on the future of physical therapy.Jimmy sits down with Dave Kittle and Tony Maritato to cover everything clinic owners need to hear right now:Why PTs are still trapped in outdated reimbursement modelsHow to build a cash-based membership that actually worksSliding into DMs to recruit A+ hiresEMRs that suck (and why they still do)The real problem with AI in healthcareWhy some PT leaders still won't talk about what matters mostIf you've ever yelled at your EMR, questioned your payer mix, or thought about quitting insurance cold turkey — this one's for you.

The a16z AI Apps team outlines how they are thinking about the AI application cycle and why they believe it represents the largest and fastest product shift in software to date. The conversation places AI in the context of prior platform waves, from PCs to cloud to mobile, and examines where adoption is already translating into real enterprise usage and revenue. They walk through three core investment themes: existing software categories becoming AI-native, new categories where software directly replaces labor, and applications built around proprietary data and closed-loop workflows. Using portfolio examples, the discussion shows how these models play out in practice and why defensibility, workflow ownership, and data moats matter more than novelty as AI applications scale. Resources:Follow  Alex Rampell on X: https://twitter.com/arampellFollow Jen Kha on X: https://twitter.com/jkhamehlFollow David Haber on X: https://twitter.com/dhaberFollow Anish Acharya on X: https://twitter.com/illscience Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Not an offer or solicitation. None of the information herein should be taken as investment advice; Some of the companies mentioned are portfolio companies of a16z. Please see https://a16z.com/disclosures/ for more information.  A list of investments made by a16z is available at https://a16z.com/portfolio. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

SummaryIn this episode of "Echoes Through Eternity," Dr. Jeffrey D. Skinner delves into the often-overlooked dangers of personality-driven church planting. He highlights how the focus on a pastor's charisma can unintentionally shift Jesus to the background, leading to a church culture that prioritizes metrics and visibility over genuine spiritual growth. Drawing on insights from various thought leaders, including Henri Nouwen and Francis Chan, Dr. Skinner emphasizes the importance of maintaining a Christ-centered approach in worship and ministry, warning against the seductive nature of success that can lead to spiritual complacency.Dr. Skinner also discusses the pressures faced by church planters in today's digital age, where constant notifications and social media can distract from the core mission of discipleship. He encourages listeners to reflect on their own practices and the health of their church communities, urging them to prioritize worship that forms rather than merely inspires. The episode concludes with a call to lead humbly, plant carefully, and keep Jesus at the forefront of ministry efforts, ensuring that the church remains a true reflection of Christ's teachings.Takeaways'The most dangerous churches are not the ones that fail.''Worship does not exist to inspire you. It exists to reorder you.''If the church can't function without you, that is not a compliment.''You cannot rest without checking numbers.''Saying no is a form of faithfulness.'Key Resources from this epsiode.• Eugene PetersonPeterson gives language for longevity over visibility.He names the danger of speed, success, and celebrity in ministry long before social media existed.He reinforces your central warning without sounding reactive.Books to reference (essential)• A Long Obedience in the Same DirectionThis book is a direct antidote to personality-driven planting.It frames discipleship as faithfulness over time, not momentary impact.It fits perfectly with your theme of resisting urgency and re-centering on Christ.• Shawna Songer GainesPrimary voice for the episode's theological frame.Her line—“What is essential is never demanding”—is the backbone.She supplies the foreground vs background image, the Jordan River moment, and Christ-centered worship as re-centering.• Jay Y. KimNames the digital attention problem clearly.Gives language for the inward gaze and how technology disciples us.Helps you connect culture, formation, and ministry drift.church planting, personality-driven ministry, Christ-centered worship, spiritual growth, Henri Nouwen, Francis Chan, digital distractions, church health, discipleship, ministry challenges.Francis ChanServes as the cautionary example.Models humility, confession, and courage to step away.Illustrates how success can still be spiritually dangerous.• Henri NouwenQuoted directly from In the Name of Jesus.You accurately reference his warning about the temptations of relevance, popularity, and power.• Neil Postman-Amusing Ourselves to DeathReferenced for cultural critique.You quote Amusing Ourselves to Death accurately and apply it to digital formation.•

Megan Spencer, better known online as Meg the Creator, is a content creator and mentor who helps introverts and “everyday people” earn real money online without becoming influencers. Through her Anti Influencer Method™, she teaches practical side hustles like Amazon Onsite Commissions (“Amazon reviews”), UGC freelancing, and TikTok Shop so students can build sustainable income streams without relying on follower counts or virality.​ On this episode we talk about: How Megan went from local government and social media management to building a multi–six-figure online business as a creator and mentor.​ The exact early steps of her social media agency: landing first clients on Upwork, charging low retainers, then scaling to $5K/month per client with a niche in holistic doctors.​ How Amazon Onsite Commissions works (horizontal product-review videos on Amazon product pages, no follower minimum) and why it can become “magic money” once you have enough videos live.​ Beginner-friendly UGC platforms (like JoinBrands and Billo), typical starter rates ($50–$80 per video, paid product photos), and how to turn that into recurring brand work.​​ What's inside her Anti Influencer Method™ Skool community: training on Amazon Onsite, UGC, TikTok Shop, freelancing, and a steady stream of brand opportunities for students.​ Top 3 Takeaways You don't need an audience to get paid. Models like Amazon Onsite Commissions and UGC let you piggyback on Amazon's traffic and brand audiences instead of building your own following.​ Start small, then level up. Early UGC jobs might pay $50–$80 per video or $15 for a quick photo set, but they build your portfolio, skills, and confidence—so you can later charge much more.​​ Community and environment matter. Being in a group of people all learning the same skills (and sharing brand deals) accelerates your progress and makes the whole process far less intimidating—especially if you're introverted.​ Notable Quotes “I didn't want to be famous—I just wanted to be paid.”​ “Courses changed my life. That first $997 course led to my first $2,400 client and proved I could make money online.”​ “You have to build what people want, then give them what they need on the back end. That's true for brands and for creators.”​​ Connect with Meg the Creator: Website & resources: megthecreator.com​ Anti Influencer Method™: antiinfluencermethod.com​ Instagram: @megthecreator__​ ✖️✖️✖️✖️

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It's EV News Briefly for Saturday 10 January 2026, everything you need to know in less than 5 minutes if you haven't got time for the full show.Patreon supporters fund this show, get the episodes ad free, as soon as they're ready and are part of the EV News Daily Community. You can be like them by clicking here: https://www.patreon.com/EVNewsDailyFOR AMERICA STELLANTIS DUMPS KEY PLUG‑IN HYBRIDS https://evne.ws/4jA032P BUT IN EUROPE JEEP STACKS UP ITS PHEV CHOICES https://evne.ws/4qRMPks KIA TURNS UP THE VOLTAGE ON GT LINE-UP https://evne.ws/4qQKRkn BMW IX4 COUPE TARGETS STYLE-CONSCIOUS EV BUYERS https://evne.ws/49lMReB POLESTAR GROWS FAST BUT SUPPLY CHAINS STILL LAG https://evne.ws/4bEdo8i RIVIAN'S APP TAKES MOTORTREND TECH HONOURS https://evne.ws/4pyAOiW HO CHI MINH CITY'S ELECTRIC SQUEEZE https://evne.ws/4jDiRyn CARMAKERS ON TRACK TO BLOW 1.5°C CARBON BUDGET https://evne.ws/49zma4X TURKEY DRIVES EV SALES WITH TOGG AND TESLA https://evne.ws/49kn3zw

700: The New Era of Studio Membership Models

AI is already better than most coaches — faster, cheaper, and available 24/7. And yet, there's one line that draws a hard boundary no algorithm can cross: it can't bleed. In this episode, Kellan, Yi, and Ankush dismantle the myths propping up modern coaching, expose why the middle of the industry is being hollowed out, and name the brutal choice facing every coach right now: evolve into embodied, transformational leadership — or disappear.

In this episode of the NCS Podcast Currents series, host Lauren Koffman, DO, MS, speaks with Ryan Hakimi, DO, MS, NVS, RPNI, CPB, FNCS, FCCM, FAAN, a neurointensivist at Prisma Health, about his Currents article on billing in neurocritical care. Their conversation explores why billing and documentation education is often absent from medical training, how staffing models and split/shared billing affect physician productivity and key considerations when working with advanced practice providers. Dr. Hakimi also shares practical insights on aligning documentation and billing practices with institutional metrics to support sustainable neurocritical care programs. To read the full article, visit Business of Neurocritical Care: Billing Under the Attending Physician or APP—Which One is Right For You? The views expressed on the NCS Podcast are solely those of the hosts and guests and do not necessarily reflect the opinions or official positions of the Neurocritical Care Society.

In this episode of TechMagic, hosts Cathy Hackl and Lee Kebler return from a holiday break to unpack the most important ideas and innovations from CES 2026. Cathy breaks down how the AI conversation has evolved beyond large language models into embodied AI, agentic systems, world models, and on-device intelligence. The discussion spans standout demos, from attention-aware robots and immersive VR experiences to smart wearables and biodegradable batteries. Cathy and Lee also question whether AI is solving real problems or becoming an innovation theatre. We end with a forward look at 2027 as a critical inflection point for AI devices from Apple, OpenAI, and Meta.Come for the tech, stay for the magic!Cathy Hackl BioCathy Hackl is a globally recognized tech & gaming executive, futurist, and speaker focused on spatial computing, virtual worlds, augmented reality, AI, strategic foresight, and gaming platforms strategy. She's one of the top tech voices on LinkedIn and is the CEO of Spatial Dynamics, a spatial computing and AI solutions company, including gaming. Cathy has worked at Amazon Web Services (AWS), Magic Leap, and HTC VIVE and has advised companies like Nike, Ralph Lauren, Walmart, Louis Vuitton, and Clinique on their emerging tech and gaming journeys. She has spoken at Harvard Business School, MIT, SXSW, Comic-Con, WEF Annual Meeting in Davos 2023, CES, MWC, Vogue's Forces of Fashion, and more. Cathy Hackl on LinkedInSpatial Dynamics on LinkedInLee Kebler BioLee has been at the forefront of blending technology and entertainment since 2003, creating advanced studios for icons like Will.i.am and producing music for Britney Spears and Big & Rich. Pioneering in VR since 2016, he has managed enterprise data at Nike, led VR broadcasting for Intel at the Japan 2020 Olympics, and driven large-scale marketing campaigns for Walmart, Levi's, and Nasdaq. A TEDx speaker on enterprise VR, Lee is currently authoring a book on generative AI and delving into splinternet theory and data privacy as new tech laws unfold across the US.Lee Kebler on LinkedInKey Discussion Topics: 00:00 Intro: Welcome Back to Tech Magic in 202603:27 AI's Evolution: From Language Models to Embodied Intelligence05:30 Glasses Galore: Meta Ray-Ban Displays and Wearable Utility09:26 Robots Everywhere: From Laundry Folders to AI-Powered Lawnmowers12:00 CES 2027 Inflection Point: Q3-Q4 2026 Device Announcements to Watch16:11 Innovation Theater vs. Problem-Solving: Evaluating Real Tech Impact18:21 Trinity Vehicle and Cool Concepts: NVIDIA and Will.i.am's AI-Powered EV20:51 Biodegradable Paper Batteries: Flint's Sustainable Solution23:04 XR Display Glasses and Next-Gen Wearables: X Real and Gaming Integration24:01 Attention Labs: On-Device AI and Data Sovereignty in Robotics27:53 Why On-Device AI Matters: Global Markets and Data Regulations29:30 IXR Podcast Meetup: Felix and Paul's Interstellar Arc VR Experience33:32 LEGO Smart Bricks: The Future of Educational Robotics35:44 Final Thoughts: CES as Geekapalooza and Plans for 2027 Hosted on Acast. See acast.com/privacy for more information.

Prefabrication only reaches its full potential when it's treated as a system, not a shortcut. In this episode of Bridging the Gap, we explore what it really takes to scale prefab beyond one-off projects and into a repeatable delivery model. The discussion dives into how standardization can unlock flexibility, why prefab strategy must be defined early, and how digital tools like BIM, automation, and emerging AI capabilities can enable more predictable outcomes. We also unpack one of the biggest challenges facing industrialized construction today: owning and managing data across the full lifecycle. If you're thinking about prefab as a long-term strategy—not just a construction tactic—this episode offers a grounded, practical perspective. You'll Learn: What “systematizing prefab” means beyond standardizing components Why repeatability is the key to scaling prefab successfully How early decisions shape prefab outcomes downstream Where digital tools truly add value in prefab workflows Why data ownership and lifecycle continuity remain major gaps How standardization can support customization rather than limit it   MEET OUR GUEST Our guest is a leader working at the intersection of healthcare, technology, and industrialized construction. With a background spanning marketing, IT, systems engineering, and modular delivery, he brings a unique perspective on how prefabrication can improve speed, quality, and predictability—especially in highly standardized environments like healthcare. His work focuses on building the process infrastructure required to make prefab repeatable, scalable, and digitally connected. TODD TAKES Prefab Only Scales When You Stop Treating It Like a Project Prefab falls short when it's approached as a one-off solution instead of an operating model. The real breakthroughs happen when organizations step back and think in terms of delivery strategy, repeatability, and long-term systems. When prefab becomes infrastructure rather than an experiment, speed, predictability, and quality follow. Standardization Doesn't Kill Flexibility, It Enables It There's a persistent myth that standardization leads to cookie-cutter outcomes. In reality, a strong standardized foundation creates more flexibility, not less. When the core system is consistent, teams can adapt interiors, workflows, and use cases to real-world needs without reinventing the wheel every time. Digital Tools Matter, But Ownership Matters More Construction has no shortage of powerful digital tools. The real gap is ownership and continuity of data across the lifecycle. Without clear responsibility for the digital thread from design through manufacturing and operations, handoffs break down and value gets lost. Technology enables scale, but systems thinking makes it sustainable.   More Resources  Thanks for listening! Please be sure to leave a rating and/or review and follow up our social accounts. Bridging the Gap Website Bridging the Gap LinkedIn Bridging the Gap Instagram Bridging the Gap YouTube Todd's LinkedIn   Thank you to our sponsors! Graitec North America Graitec North America LinkedIn Autodesk's Website   Other Relevant Links: Grant Geiger's LinkedIn EIR Healthcare Website

In this episode of the Be Wealthy Podcast, Brett Tanner and Katelyn Mitchell break down the real reasons why most real estate professionals never become millionaires — even when they earn great income.Using Warren Buffett's wealth philosophy as a foundation, Brett explains how long-term thinking, compounding, and disciplined decision-making create real wealth over decades — not overnight. Together, Brett and Katelyn unpack common financial traps like overleveraging, emotional decision-making, lifestyle inflation, and constantly “visiting” your capital.This episode dives deep into wealth models, cash flow strategy, debt discipline, and how small financial choices compound into massive outcomes over time. If you've ever felt “behind” financially or confused about why hard work hasn't translated into wealth yet, this conversation brings clarity, structure, and a proven path forward.

With developments in generative AI progressing at such a furious pace, how can investors cut through the noise to identify the companies that will really matter? Baillie Gifford's Kyle McEnery shares his approach to meeting the entrepreneurs building the future – including his encounters with AppLovin, Anthropic, NVIDIA, Roblox and Reddit. Background:Kyle McEnery is an investment manager in our Long Term Global Growth Team (LTGG) and previously led Baillie Gifford's Artificial Intelligence Research Project. In this conversation, he tells host Leo Kelion why AI's ever-increasing capabilities make this one of the most exciting times to be a growth investor, and how leadership and culture act as signals in the noise to help identify companies with the greatest long-term growth potential. In addition to discussing which of the firms enabling and using today's language-based ‘frontier' AI models are leading the pack, he explains how efforts to understand and simulate real-world physics could unlock further progress. Portfolio companies discussed include:Anthropic – developer of the Claude AI models, which excel at coding, among other tasks.NVIDIA – the semiconductors firm whose accelerator chips are powering many of the advances in generative AI.Roblox – the video games platform whose Cube 3D technology allows creators to build objects and environments out of text-based descriptions.AppLovin – the ad-tech company whose AI-first strategy keeps the business lean and nimble.Reddit – the online discussion forum, whose authentic human conversations are gaining in value as a counterpoint to AI-generated output. Resources:AI and the future of everything: a long-term perspectiveAnthropic: why we are backing the AI frontrunnerLong Term Global Growth Strategy (institutional investors only)LTGG philosophy and process (institutional investors only)Private companies: from Anthropic to ZetwerkShort Briefings on Long Term Thinking hub Companies mentioned include:Alphabet/GoogleAmazonAnthropicAppLovinHorizon RoboticsNVIDIARedditRobloxTesla  Timecodes:00:00  Introduction – Dartmouth College's artificial intelligence workshop01:50   From quantum to AI via asset management02:50  Creating and then culling a machine-learning initiative08:05  ChatGPT's wake-up call10:35   Exceptional companies at the dawn of generative AI12:10   Anthropic's appeal to business customers14:55   A winner-takes-all opportunity?17:05   Dario Amodei and the scaling laws19:10   NVIDIA's foundational role in neural networks22:55  Making video game items in Roblox with AI25:00  AppLovin – a company built for the next era26:55  Reddit's valuable conversational communities29:35  World models, spatial AI and the physical world32:35  Staying open-minded and humble33:35  Book choice  Glossary of terms (in order of mention): Generative AI: AI systems that create new content such as text, images or code rather than just analysing data.Machine learning: AI techniques where systems learn patterns from data rather than being explicitly programmed.End-to-end, systematic (investment strategy): Fully automated, with decisions made by predefined rules rather than human judgement.Agentic AI: AI systems that can plan and carry out tasks autonomously rather than just responding to prompts.R&D: Research and development.GPT: OpenAI's models, which power its ChatGPT chatbot.Natural language processing: AI that enables computers to understand and generate human language.Token: A chunk of text, such as a word or part of a word, used by language models.Foundation models: Large AI models that can handle a wide variety of tasks.Know your customer (KYC): Financial checks used by banks to verify customers' identities and risks.Scaling laws: The idea that AI performance improves predictably as models, data and computing power increase.Compute: The processing power required to train and run AI models.Jevons' paradox: The counterintuitive idea that efficiency gains can increase, rather than reduce, overall usage.CUDA: NVIDIA's software platform for programming its chips for high-performance computing.Jensen: Jensen Huang, NVIDIA's co-founder and chief executive.Metaverse: Shared virtual worlds where people interact, create and play online.Large language models (LLMs): AI systems trained on vast amounts of text to understand and generate language.Multimodal models: AI systems that can process multiple types of data, such as text, images and video.World models: AI systems that learn how the physical world works in order to predict and simulate it.Embodied AI: AI that learns through physical interaction with the real world, such as robots or vehicles.Imitation learning: Training AI by having it copy actions demonstrated by humans.

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- Counterpoint: iPhone Topped Smartphone Shipments in 2025 - Apple to Base A.I. Models on Google Gemini Models - Cloud Compute and Apple Servers Should Keep User Data Safe from Google - Elon Musk Shocks Planet by Not Liking Apple/Google A.I. Announcement - Wedbush: Apple/Google Announcement Was Top of List of 2026 - Apple Crews Over 2025 Services Performance - Apple Seeds Second Developer Betas of blankOS 26.3 - Minor iOS Update Spotted in the Wings - Sponsored by Squarespace: Get 10% off of your first purchase of a website or domain with offer code MACOSKEN at Squarespace.com/MACOSKEN - Sponsored by Copilot Money: Get a two months free trial with Offer Code MACOSKEN at try.copilot.money/macosken - Catch Ken on Mastodon - @macosken@mastodon.social - Send Ken an email: info@macosken.com - Chat with us on Patreon for as little as $1 a month. Support the show at Patreon.com/macosken

Don't have time to listen to the entire Dave & Chuck the Freak podcast? Check out some of the tastiest bits of the day, including Lisa is back!, friend of viral billboard calls the show, 2 OnlyFans models won't leave first class, and more!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Traditional vulnerability management is simple: find the flaw, patch it, and verify the fix. But what happens when the "asset" is a neural network that has learned something ethically wrong? In this episode, Sapna Paul (Senior Manager at Dayforce) explains why there are no "Patch Tuesdays" for AI models .Sapna breaks down the three critical layers of AI vulnerability management: protecting production models, securing the data layer against poisoning, and monitoring model behavior for technically correct but ethically flawed outcomes . We discuss how to update your risk register to speak the language of business and the essential skills security professionals need to survive in an AI-first world .The conversation also covers practical ways to use AI within your security team to combat alert fatigue , the importance of explainability tools like SHAP and LIME , and how to align with frameworks like the NIST AI RMF and the EU AI Act .Guest Socials - ⁠⁠Sapna's LinkedinPodcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Security, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Security Podcast⁠Questions asked:(00:00) Introduction(02:00) Who is Sapna Paul?(02:40) What is Vulnerability Management in the Age of AI? (05:00) Defining the New Asset: Neural Networks & Models (07:00) The 3 Layers of AI Vulnerability (Production, Data, Behavior) (10:20) Updating the Risk Register for AI Business Risks (13:30) Compliance vs. Innovation: Preventing AI from Going Rogue (18:20) Using AI to Solve Vulnerability Alert Fatigue (23:00) Skills Required for Future VM Professionals (25:40) Measuring AI Adoption in Security Teams (29:20) Key Frameworks: NIST AI RMF & EU AI Act (31:30) Tools for AI Security: Counterfit, SHAP, and LIME (33:30) Where to Start: Learning & Persona-Based Prompts (38:30) Fun Questions: Painting, Mentoring, and Vegan Ramen

Maryknoll Fr. James Kroeger, a longtime missionary and author, speaks with the Paulist Deacon Affiliates in this episode of Deacons Pod. Fr. Kroeger, who was a missionary in Asia for more than five decades, shares details about his life and ministry, and reflects on the 60th anniversary of the Second Vatican Council. Ordained a priest in 1975, he is the author of many articles as well as multiple titles from Faith Alive Books including "A Joyful Journey with Pope Francis: Exploring Twelve Pivotal Documents" and "Exploring Vatican II Treasures: Actors, Events, Insights." His new book is "Living in Joyful Hope: Insights, Models, Challenges." Maryknoll is the Catholic Foreign Mission Society of America

Get My NEW Book: Focus Like a Nobel Prize Winner: https://www.amazon.com/dp/B0FN8DH6SX Andrew Jaffe Book: The Random Universe: https://www.amazon.com/Random-Universe-Models-Probability-Cosmos/dp/0300250509 Is the universe intrinsically random? In this conversation, we dive deep into why the universe may be fundamentally, intrinsically random. Whether inflation on life support, the truth behind the Hubble tension, and whether cosmology is approaching the event horizon, limits beyond which humans can never know. Today we're joined by one of the architects of modern cosmological inference, Professor Andrew Jaffee, author of a new book called The Random Universe that argues that every observation in science is shaped by the models we bring to it, biases and all. KEY TAKEAWAYS 00:00–01:13 — Science and life rely on building models. 01:13–03:35 — Models of people and reality are often wrong and revised. 04:04–06:01 — Observation depends on prior theories. 06:01–07:32 — Models can't be escaped, only improved. 07:32–08:57 — No single scientific method exists. 08:57–11:25 — Science uses induction, not pure proof. 11:25–13:22 — Induction isn't certain, only probabilistic. 13:22–15:36 — Induction works because nature is regular. 17:44–19:08 — Big Bang emerges from well-tested models. 19:08–21:15 — Current cosmology is stressed, not broken. 29:19–30:36 — Probability gives meaning to models. 39:45–41:11 — Randomness often reflects limited knowledge. 43:46–45:00 — Quantum physics is fundamentally probabilistic. 49:09–50:04 — Inflation awaits decisive observational tests. - Additional resources: Get My NEW Book: Focus Like a Nobel Prize Winner: https://www.amazon.com/dp/B0FN8DH6SX?ref_=pe_93986420_775043100 Please join my mailing list here

In today's episode, Tim brings back Dr. Craig Depperschmidt, PT to do a deep dive on their respective running models and how to leverage ‘em to make clients faster and healthier. In this episode they discuss, Tim's model of "Catch -> Fall + Bounce -> Shift + Spiral" and Craig's Model of "Relax your back -> Push the world away ->Quicker, shorter steps”. Listen, subscribe, and tell your friends… Reframe Performance: https://www.reframeperformance.com/ Reframe Performance Free Guide- 6 Biggest Weight Training Mistakes Runners Make: https://www.reframeperformance.com/weight-training-runners-mistakes-guide Contact Michelle: https://www.michelleboland-training.com/ or @dr.michelleboland Contact Tim: ascendrehabandperformance.com or @ascend_rehab_and_performance

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 [CB] could not stop Trump’s economic system. The foundation is now set and the economy is about to take off. Lower interest rates, higher GDP, low inflation, housing market getting a push. In the end this will allow Trump to remove [CB] system. Trump is now shutting down the [DS] WW. The money flow is coming to an end and they can’t pay their terrorist organizations, he is doing this so these terrorists countries can not do us harm. DHS has now countered the left and they need to make an appointment to visit the ICE facility. Trump team sent out a message to the people. Hold the line, trust the plan and that the patriots are in control. Economy (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"); https://twitter.com/RealEJAntoni/status/2010001125358088511?s=20  ABSOLUTE FORTUNE — and has $200 BILLION DOLLARS IN CASH. Because of this, I am instructing my Representatives to BUY $200 BILLION DOLLARS IN MORTGAGE BONDS. This will drive Mortgage Rates DOWN, monthly payments DOWN, and make the cost of owning a home more affordable. It is one of my many steps in restoring Affordability, something that the Biden Administration absolutely destroyed. We are bringing back the AMERICAN DREAM that was destroyed by the last Administration. MAKE AMERICA GREAT AGAIN!     these Historic, Country saving achievements prior to the issuance of their most important (ever!) Decision. Thank you for your attention to this matter! PRESIDENT DONALD J. TRUMP https://twitter.com/WhiteHouse/status/2010062619403809183?s=20 Tariff authority decision still awaited from Supreme Court A group of states and small businesses challenged Trump’s tariffs under the 1977 law, winning in two lower courts before the administration appealed to the Supreme Court. Tariff authority by second-term Republican President Donald Trump was not decided by the U.S. Supreme Court on Friday, meaning the federal government can continue to collect the revenue for now. Source: justthenews.com Political/Rights  https://twitter.com/libsoftiktok/status/2010374266106085458?s=20 https://twitter.com/ScottJenningsKY/status/2009615236031205397?s=20 https://twitter.com/EndWokeness/status/2010196295118655688?s=20 https://twitter.com/kyledcheney/status/2010164530375184643?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2010164530375184643%7Ctwgr%5E86d6cd806b4b479cdf3cf46922840ff768925d5d%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fredstate.com%2Fterichristoph%2F2026%2F01%2F11%2Fkristi-noem-just-quietly-put-a-boot-on-the-necks-of-democrats-who-want-to-cause-chaos-at-ice-facilities-n2198003 DOGE https://twitter.com/Cernovich/status/2010170780500537562?s=20 Geopolitical https://twitter.com/nettermike/status/2009843044028428714?s=20  suddenly all our radar systems shut down without any explanation. The next thing we saw were drones, a lot of drones, flying over our positions. We didn’t know how to react. Interviewer: So what happened next? How was the main attack? Security Guard: After those drones appeared, some helicopters arrived, but there were very few. I think barely eight helicopters. From those helicopters, soldiers came down, but a very small number. Maybe twenty men. But those men were technologically very advanced. They didn’t look like anything we’ve fought against before. Interviewer: And then the battle began? Security Guard: Yes, but it was a massacre. We were hundreds, but we had no chance. They were shooting with such precision and speed… it seemed like each soldier was firing 300 rounds per minute. We couldn’t do anything. Interviewer: And your own weapons? Didn’t they help? Security Guard: No help at all. Because it wasn’t just the weapons. At one point, they launched something—I don’t know how to describe it… it was like a very intense sound wave. Suddenly I felt like my head was exploding from the inside. We all started bleeding from the nose. Some were vomiting blood. We fell to the ground, unable to move. Interviewer: And your comrades? Did they manage to resist? Security Guard: No, not at all. Those twenty men, without a single casualty, killed hundreds of us. We had no way to compete with their technology, with their weapons. I swear, I’ve never seen anything like it. We couldn’t even stand up after that sonic weapon or whatever it was. Interviewer: So do you think the rest of the region should think twice before confronting the Americans? Security Guard: Without a doubt. I’m sending a warning to anyone who thinks they can fight the United States. They have no idea what they’re capable of. After what I saw, I never want to be on the other side of that again. They’re not to be messed with. Interviewer: And now that Trump has said Mexico is on the list, do you think the situation will change in Latin America? Security Guard: Definitely. Everyone is already talking about this. No one wants to go through what we went through. Now everyone thinks twice. What happened here is going to change a lot of things, not just in Venezuela but throughout the region. https://twitter.com/WarClandestine/status/2010081288804499739?s=20  Trump To Meet Venezuelan Opposition Leader María Corina Machado Next Week President Trump plans to meet with Venezuelan opposition leader María Corina Machado next week during her planned visit to the United States. This development comes despite his earlier reluctance to back her for the country’s top leadership role. Trump told Fox News host Sean Hannity in a taped interview that aired Thursday night that he understands Machado is “coming in next week sometime” and looks forward to saying hello to her.  Source: zerohedge.com https://twitter.com/ElectionWiz/status/2010085234415714622?s=20 https://twitter.com/jk_rowling/status/2010189173937058174?s=20 https://twitter.com/AutistDivision/status/2009937092608983066?s=20  https://twitter.com/disclosetv/status/2010217195415236641?s=20 https://twitter.com/DataRepublican/status/2009953358581485759?s=20 while still buying Russian oil; sermonizing about democracy while condemning Maduro's ouster; ignoring protests in Iran while fretting over the return of a king… all contradictions that conveniently sustain NGO growth and EU rent-seeking. Like it or not, Trump is dismantling your grift and rewriting the world order. You don’t have any logical reason to oppose it, except you hate that your era of dependence on US taxpayers is finally ending. So all you can do is appeal to emotions and invent a war out of thin cloth. War/Peace Russia Strikes Back Using Hypersonic Missiles Against Kiev Following Drone Attack on Putin's Residence Someone launched the drones from Ukraine and targeted them at Putin's residence to send a message.  There is considerable debate online about it, but if President Trump and Volodymyr Zelenskyy are speaking truthfully, the most likely suspect who launched the drones was British intelligence inside Ukraine.  Then again, if the CIA was factually involved, everyone would have to deny it. In retaliation for the December 29th attack, yesterday Russia fired a hypersonic Oreshnik missile and counterattack drones directly into the heart of Kiev, Ukraine. The use of the Oreshnik missile comes just hours after Russian President Putin asserted publicly that Ukraine, Europe and NATO have no defenses against the hypersonics. President Zelenskyy said the Russian attack involved 242 drones, 13 ballistic missiles, one Oreshnik missile and 22 cruise missiles. However, as with all things Zelenskyy, this dramatic claim seems to be slightly exaggerated. Russia claims they targeted key electricity infrastructure as well as the production facilities for building drones in Kiev which are collocated in residential areas. Source: theconservativetreehouse.com https://twitter.com/disclosetv/status/2010095248115110236?s=20 https://twitter.com/WarClandestine/status/2010049768551264499?s=20 My first thought was that they know some form of terrorist attack or riots in the Jewish community are coming, and they are trying to disassociate before the violence. Or maybe it's just polling related. Or maybe related to Iran. I have no idea. But they are up to something. https://twitter.com/PSPreparedness/status/2010100027234951486?s=20   and all the panic and angst has worn off by Monday morning, so the MSM can't fully capitalize on the emotions of the public. It's genius actually. If you have to do something that might be considered controversial, just do it right before the NFL slate, and the public barely even notice. https://twitter.com/JoeLang51440671/status/2010374728012255474?s=20   Thiel has been a huge Trump supporter from the beginning and is playing a key role in this WAR. His “trilogy” strategy is a purposeful plan, to remove the cabal control over our national security, by investing in new companies that are focused on advanced technologies for our military. The military industrial complex is being FORCED to compete with these new companies aligned with Trump. Which companies? 1) Palantir > expertise in data intelligence. 2) Anduril > autonomous weapons systems. 3) General Matter > next generation energy infrastructure. These three companies are the tip of the spear, when it comes to future warfare. Trump is funding their technological advancements and they are playing critical roles in our defense and the country's future. It's not a coincidence that Trump has recently criticized the big defense contractors. “Ah, the military industrial complex (MIC), that great behemoth blob that eats your tax dollars as a fat kid eats fried foods. Trump announced Wednesday that he plans to trim some of its fat and crack down on a notorious practice among defense companies: stock buybacks.” “Trump on the defense contractors focusing on Wall Street instead of production: “Defense contractors are currently issuing dividends and massive stock buybacks, at the expense of investing in plants and equipment. This will no longer be allowed or tolerated!” “All United State Defense Contractors, and the Defense Industry as a whole, BEWARE: While we make the best Military Equipment in the World (No other Country is even close!), Defense Contractors are currently issuing massive Dividends to their Shareholders and massive Stock Buybacks, at the expense and detriment of investing in Plants and Equipment,” Trump said. “From this moment forward, these Executives must build NEW and MODERN Production Plants, both for delivering and maintaining this important Equipment, and for building the latest Models of future Military Equipment,” the president went on. “Until they do so, no Executive should be allowed to make in excess of $5 Million Dollars which, as high as it sounds, is a mere fraction of what they are making now.” A stock buyback is when a company uses its own cash to buy its own shares on the public market to reduce the total number of shares and juice the shares' value.” https://dailycaller.com/2026/01/09/donald-trump-defense-contractors-military-stock-buybacks-dividends-tax-dollars-ceo-salaries/ This has been a huge scam on Wall Street for a long time. A company uses their cash or debt in order to buy back their own companies stock, which drives up the price. Their bonus and salary are based on that stock price, not their company's performance or whether or not they are fulfilling their contracts. That crooked scam is ending. They will build plants, hire more workers and complete their obligations on time and on budget or lose government contracts. Trump has the ability as Commander in Chief, to take over these defense contractors because of “national security.” And that leverage will be applied. The Commander in Chief has extraordinary power during WAR and national emergencies. The military industrial complex is now being dismantled. But have you heard what else, Thiel is deeply involved in? Thiel is also helping to transform our financial system too. This transformation is focused on “stablecoins.” It's another trilogy strategy. Thiel is building a comprehensive ecosystem, based on “compliance,” infrastructure, and financial control. Have you heard of these companies? 1) Bullish Exchange > front end trading platform for a “stablecoin” ecosystem. 2) Erebor Digital Bank > backend infrastructure for “stablecoin” transactions. 3) Ubyx > “stablecoin” clearing protocol. Trump is pushing “stablecoins” because of NATIONAL SECURITY. Medical/False Flags [DS] Agenda https://twitter.com/amuse/status/2010342980796690483?s=20 https://twitter.com/iAnonPatriot/status/2009681913359810771?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2009681913359810771%7Ctwgr%5Eccea6570c033b6b5bee351e0f564d3e416a9cf4b%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.thegatewaypundit.com%2F2026%2F01%2Fwatch-zohran-mamdanis-crazy-tenant-advocate-explain-how%2F   paying 30% of that.” Insanity. https://twitter.com/elonmusk/status/2010259767172968606?s=20 https://twitter.com/C_3C_3/status/2010175725727596607?s=20 https://twitter.com/amuse/status/2010375277784817698?s=20  without dispersion or integration created incentives for closed networks to govern access to benefits, and state officials then ran cover when those networks were exploited criminally as they benefited from the fraud… BREAKING: Biden Judge Blocks President Trump's $10 Billion Welfare Funding Freeze in Five Blue States  A federal judge on Friday blocked President Trump's $10 billion welfare funding freeze in five blue states. US District Judge Arun Subramanian, a Biden appointee, issued a Temporary Restraining Order (TRO) and blocked Trump's halt on funding for childcare and social services. On Tuesday, President Trump sent letters to California, Colorado, New York, Minnesota and Illinois to inform them of the federal cuts. Trump made the cuts to the welfare programs due to widespread fraud in the state's programs. Politico reported: Source: thegatewaypundit.com https://twitter.com/amuse/status/2010065814444228955?s=20 https://twitter.com/LauraPowellEsq/status/2009751394224660594?s=20  put their bodies” between agents and arrestees. They do warn that there are “legal risks,” but apparently they don't realize illegally interfering with law enforcement carries an inherent risk of being physically harmed. https://twitter.com/nypost/status/2009382634174996728?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2009382634174996728%7Ctwgr%5E2f0d8426f34a59a7d74ee8d9f4b3e1f8b235f1af%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fredstate.com%2Fterichristoph%2F2026%2F01%2F08%2Fthe-truth-comes-out-about-renee-nicole-good-n2197928 https://twitter.com/AlphaNews/status/2009679932289626385?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2009679932289626385%7Ctwgr%5E941ba16dee719e06e4a6e020baea59d5b6f5f8fc%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fredstate.com%2Fnick-arama%2F2026%2F01%2F09%2Fdems-breathtakingly-despicable-gaslighting-on-new-footage-in-ice-shooting-n2197970  Curt Broomfield This was written by someone, not me. I am a father not a mom. But sums it up pretty well, what was she thinking?I'm a mother, so I'm going to comment right now. I will say this exactly the way a mother thinks it, raw, direct, and without pretending this is complicated.A 37-year-old woman. Three kids. Middle of a work week. The father of those children is dead. She is the parent left. The one job she has above every cause, every protest, every headline, is getting home to her kids.And what is she doing instead?She's out of state (other reports claim she lives there), in the street, in her car, blocking federal agents who are doing their job. Not alone! Her partner is right there filming her like this is some brave little documentary moment. Around them: sirens blaring, people yelling, pure chaos, manufactured chaos, so agents can't do their lawful duty.Her window is down. She hears the orders. She understands the orders. She ignores the orders.Then she puts the car in reverse.Still doesn't comply.Then she puts it in drive, NOT park! She moves forward into the agent.That's not “confusion.”That's not “panic.”That's decision after decision after decision.Now put yourself in the agent's shoes for half a second. A driver is already in an unlawful act! refusing commands in a hostile, chaotic scene, and now that driver uses a vehicle to move toward you. You get a split second. You don't get the luxury of “Maybe she's just stressed.” You have to assume the worst, you have to think of protecting other people like the partner at the window, because if you assume the best and you're wrong, you don't go home or someone else.So the agent fires after she makes an intentional and aggressive move toward him, because he has no idea what her intentions are, and she just demonstrated she's willing to escalate.Now… imagine her three kids. At school. Sitting there like any other day. Not knowing their mother is out playing street-hero games for criminals in the middle of a work week, with the two adults responsible for them!She didn't think about them.She didn't think, “If I get arrested, who picks my babies up?”She didn't think, “If I get hurt, who raises them?”She didn't think, “If I die, they have nobody.”She thought about protecting criminals.She thought about interfering with federal agents.She thought about the camera.She thought about the crowd.She thought about the moment.There is no amount of evidence, money, tears on TV, or news spin that can make this make sense.As a mother: NOTHING about this makes sense.At minimum, she knew her actions could get her arrested. At minimum. And she still chose it. She chose strangers. She chose chaos. She chose lawlessness.Make it make sense, because the only thing I see is three kids who just got abandoned by the only parent they had left, not by accident… but by a series of deliberate choices.  https://twitter.com/mattvanswol/status/2010336379721425112?s=20  me. One month. Again, the only reason they don't want you dead yet is because they don't know your name. https://twitter.com/AwakenedOutlaw/status/2010106701459128396?s=20  . All their nutbaggery will be dealt with in short order. https://twitter.com/AndrewKolvet/status/2009740735449358474?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E2009740735449358474%7Ctwgr%5E13f340292b82005d5b6478d71551e8979c328155%7Ctwcon%5Es1_c10&ref_url=https%3A%2F%2Fwww.thegatewaypundit.com%2F2026%2F01%2Finfamous-former-j6-capitol-police-officer-sparks-fury%2F   lawless agency that's killing Americans.” Fanone is trying to incite the murder of federal law enforcement for doing their jobs. Arrest this man. https://twitter.com/CynicalPublius/status/2010045509776576779?s=20   nice effort in their eyes, but not good enough because we all saw the video. They need SOMETHING where the dead protestors are blameless. They are DESPERATELY seeking an image like the one below. Keep this in mind in the days and weeks ahead. Chicago Police Superintendent Reminds the Public ICE Is Law Enforcement and Has Authority Over Citizens Instagram and other social media posts have spread false claims that ICE agents are not law enforcement, have no authority over citizens, and that citizens or even illegal aliens should resist them. These posts also falsely claim that people are not required to comply with ICE orders, that ICE lacks arrest power without a warrant, or that ICE cannot arrest a citizen. All of this is untrue. These misconceptions are fueling resistance to ICE, including escalating violence and chaos. Chicago Police Superintendent Larry Snelling said during a press conference the day after an ICE agent shot and killed Renee Nicole Good in self-defense that ICE personnel are sworn law enforcement officers and must be treated as such. Snelling said that when federal agents are boxed in by vehicles, it is reasonable for them to believe they are being ambushed and that the situation could quickly become deadly. “If you box them in with vehicles, it is reasonable for them to believe that they are being ambushed,” he said, adding that officers are justified in using force in self-defense under those conditions. He warned the public not to interfere with law enforcement operations, stressing that boxing in any officer is illegal and dangerous. “You are breaking the law when you do that, and you are putting yourself in danger,” Snelling said. He added that officers are justified in viewing individuals who persistently follow them as potential threats. Source: thegatewaypundit.com President Trump's Plan https://twitter.com/GuntherEagleman/status/2009964353471295520?s=20  https://twitter.com/Notwokenow/status/2010148771066245157?s=20 https://twitter.com/BasedMikeLee/status/2010176946127417389?s=20 https://twitter.com/USDOL/status/2010094428208472352?s=20 https://twitter.com/USDOL/status/2009391453181759637?s=20 https://twitter.com/USDOL/status/2007933111729021305?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");

Champions of Faith: Models of Maturity with Pastor Jason Eddy

Can you help me make more podcasts? Consider supporting me on Patreon as the service is 100% funded by you: https://EVne.ws/patreon You can read all the latest news on the blog here: https://EVne.ws/blog Subscribe for free and listen to the podcast on audio platforms:➤ Apple: https://EVne.ws/apple➤ YouTube Music: https://EVne.ws/youtubemusic➤ Spotify: https://EVne.ws/spotify➤ TuneIn: https://EVne.ws/tunein➤ iHeart: https://EVne.ws/iheart SAIC IS EXPORTING THE (EV) REVOLUTION https://evne.ws/4qE03RI 2025 ENDS WITH NEV MARKET DRIVEN BY HANDOUTS https://evne.ws/4jp7byZ SMART #6 SHOWS IT'S NO LONGER THE BIG SHORT https://evne.ws/4aH5dYD ZEEKR HOPES 8X WILL MARK THE SPOT https://evne.ws/4qNSpod XPENG LAUNCHES P7+ TRIAL PRODUCTION https://evne.ws/4puiIyC CHANGAN EXPANDS IN EUROPE WITH 8 MODELS, PHEVS https://evne.ws/4spXV1B XIAOMI PUTS THE PIECES BACK TOGETHER AGAIN https://evne.ws/3LmRwUf CATL EXPANDS SWAP NETWORK TO 1,325 STATIONS https://evne.ws/4sH4cq6

Shoot us a Text.Episode #1239:  Ford earns top honors as America's most iconic company, Stellantis drops every PHEV from its 2026 lineup, and McKinsey's CEO reminds us there are still a few things humans do better than AI. A day of big shifts, bold moves, and even bolder expectations.Show Notes with links: https://www.foxbusiness.com/retail/ford-named-no-1-most-iconic-american-company-nationwide-survey-making-peoples-lives-betterFord just topped Time and Statista's list of the 250 most iconic American companies, beating household giants like Apple, Coca-Cola and Amazon. The ranking highlights not just commercial success, but each company's impact on U.S. culture and society.Time's nationwide survey put Ford at No. 1 for its cultural influence and long-standing role in shaping American life.Bill Ford pointed back to the company's founding mission, emphasizing innovation tied to improving people's lives—not just tech for tech's sake.Ford underscored its status as the largest hourly auto employer in the U.S., reinforcing its commitment to American workers.Time credited Ford's assembly-line legacy for transforming modern manufacturing and reshaping cities and suburbs.“Innovation is not just about building batteries or technology for its own sake; it is about making people's lives better,” said Bill Ford.https://www.jalopnik.com/2071397/stellantis-canceling-all-plug-in-hybrids-2026-model-year/Stellantis is pulling the plug—literally—on every PHEV in its North American lineup starting with the 2026 model year. Once top sellers like the Wrangler 4xe,  Grand Cherokee 4xe, and Chrysler Pacifica PHEV are being discontinued as the company shifts its electrification strategy.Stellantis says every brandwide PHEV program in North America will be phased out beginning in 2026.The automaker plans to pivot toward traditional hybrids and range-extended EVs, where it says customer demand is stronger.Models like the Alfa Romeo Tonale and Dodge Hornet R/T will also lose their plug-in variants.Stellantis says it will “focus on more competitive electrified solutions, including hybrid and range-extended vehicles where they best meet customer needs.”https://www.businessinsider.com/mckinsey-boss-shares-human-skills-ai-models-cant-do-2026-1As AI reshapes knowledge work, McKinsey's top executive says there are three capabilities machines still can't touch—and they're exactly what young professionals should double down on. The comments came as the firm shared how AI has already saved millions of employee work hours.McKinsey's 25,000 AI agents handled 1.5 million hours of search and synthesis last year and produced 2.5 million charts in six months.With routine tasks offloaded, consultants are now tackling higher-order, more complex problem-solving.CEO Bob Sternfels says graduates should focus on the three skills AI cannot replicate: aspiration, judgment, and true creativity.He also says AI will shift hiring away from pedigree and toward demonstrated work—like engineers' GitHub portfolios.“What can the models not do? Aspire… That's a uniquely human capability,” Sternfels said.Join Paul J Daly and Kyle Mountsier every morning for the Automotive State of the Union podcast as they connect the dots across car dealerships, retail trends, emerging tech like AI, and cultural shifts—bringing clarity, speed, and people-first insight to automotive leaders navigating a rapidly changing industry.Get the Daily Push Back email at https://www.asotu.com/ JOIN the conversation on LinkedIn at: https://www.linkedin.com/company/asotu/

The Futurists starts 2026 with a stimulating conversation with serial entrepreneur Matt Miesnieks, a true pioneer of AR/XR and spatial computing. In his new startup venture, Primate AI, Matt is focused on a novel approach to artificial intelligence. He intends to construct spatial and dimensional concepts that replicate the way humans develop a mental model of the real world. Topics in this episode: how the limitations of LLMs create opportunities for new approaches, such as Yann LeCun's JEPA (Joint Embedding Predictive Architecture); the distinction between trying to understand the real world and trying to generate new worlds; why it is so hard to get a robot to cross a busy street safely; why 3D world models are needed; what happens when the real world is machine-readable.

???? Physical therapy clinics don't need another EMR — they need a new business model. In this episode, TONY, DAVE and JIMMY unpack the “PT Lite” model, how insurance can be your Costco hot dog, and why premium upsells aren't dirty — they're how you grow.???? Whether you're a clinic owner, staff PT, or rehab entrepreneur, this conversation shows you how to repackage your value, attract better-fit clients, and build something scalable.⏱️ CHAPTERS / TIMESTAMPS:00:00 - Intro02:13 - How "PT Lite" unlocks new patients09:22 - The barrier to short visits: PT psychology13:40 - Using ChatGPT as a triage funnel17:55 - Smart marketing with AI tools21:45 - Insurance as a loss-leader: like Costco's hot dog25:30 - Upselling ethically in physical therapy28:20 - The Gold's Gym clinic model33:40 - Pricing mindset: why PTs undercharge39:00 - The gym-to-premium pipeline strategy

Even if ChatGPT never existed, the tech giant NVIDIA would still be winning. The end of Moore's Law—says NVIDIA President, Founder, and CEO Jensen Huang—makes the shift to accelerated computing inevitable, regardless of any talk of an AI “bubble.” Sarah Guo and Elad Gil are joined by Jensen Huang for a wide-ranging discussion on the state of artificial intelligence as we begin 2026. Jensen reflects on the biggest surprises of 2025, including the rapid improvements in reasoning, as well as the profitability of inference tokens. He also talks about why AI will increase productivity without necessarily taking away jobs, and how physical AI and robotics can help to solve labor shortages. Finally, Jensen shares his 2026 outlook, including why he's optimistic about US-China relations, why open source remains essential for keeping the US competitive, and which sectors are due for their “ChatGPT moment.”  Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @nvidia Chapters: 00:00 – Jensen Huang Introduction 00:17 – Biggest AI Surprises of 2025 04:12 – AI and Jobs: New Infrastructure and Demand for Skilled Labor 09:03 – Task vs. Purpose Framework in Labor 12:31 – Solving Labor Shortages with Robotics 15:14 – The Layer Cake of AI Technology 18:39 – The Importance of Open Source 21:52 – The Myth of “God AI” and Monolithic Models 23:54 – Addressing the “Doomer” Narrative and Regulation 29:25 – The Plummeting Cost of Compute and Tokenomics 35:09 – The Return to Research 37:49 – Future of Coding and Software Engineering 43:20 – The Industries Due For Their “ChatGPT” Moments 46:00 – The Evolution of Self-Driving Cars and Robotics 54:06 – Energy Demand and Growth for AI 58:49 – 2026 Outlook: US-China Relations and Geopolitics 1:04:43 – Is There An AI Bubble? 1:16:20 – Conclusion

“If you don’t take advice and get the right people next to you, you can lose your money as easily as you make it.”

How we understand disability influences every decision we make as providers. In this episode, Cari and Jim unpack four models of disability and discuss how they show up in practice. You'll walk away with a clearer lens for reflecting on your values and how they align with your work. If you're a parent or caregiver, this conversation is for you too. Understanding these models can help you make sense of the advice you're given and advocate more confidently for your child.

AI has mastered language, sort of. But the real world is way messier.In this episode of TechFirst, John Koetsier sits down with Kirin Sinha, founder and CEO of Illumix, to explore what comes after large language models: world models, spatial intelligence, and physical AI.They unpack why LLMs alone won't get us to human-level intelligence, what it actually takes for machines to understand physical space, and how technologies born in augmented reality are now powering robotics, wearables, and real-world AI systems.This conversation goes deep on: • What “world models” really are — and why everyone from Fei-Fei Li to Jeff Bezos is betting on them • Why continuous video and outward-facing cameras are so hard for AI • The perception stack behind robots and smart glasses • Edge vs cloud compute — and why latency and privacy matter more than ever • How AR laid the groundwork for the next generation of physical intelligenceIf you're building or betting on robotics, smart wearables, AR, or physical AI, this episode explains the infrastructure shift that's already underway.GuestKirin SinhaFounder & CEO, Illumixhttps://www.illumix.com

In this episode of Tech Talks, Julian Dibbell is joined by partner Brian Nolan and associate Megan Fitzgerald to unpack how companies can protect AI assets and outputs using IP strategies. The conversation maps the key protectable components of AI—algorithms and code, trained models and parameters, proprietary datasets, and outputs—and evaluates the strengths and limits of trade secrets, copyrights, patents, and contracts. They highlight why trade secrets are particularly powerful for AI while probing emerging "improper means" issues like scraping, prompt injection, and ToS violations. They also survey evolving copyright law on human authorship and fair use in training, and discuss patent inventorship guidance and eligibility trends, before closing with practical contracting approaches to allocate data rights, output ownership, and IP strategy. Show Notes: 00:02 Introduction to Protecting AI Assets and Outputs 02:00 Protectable AI Assets: Algorithms, Models, Data, Outputs 06:07 IP Toolkit: Trade Secrets, Copyright, Patents, Contracts 09:55 "Improper means" in AI: Scraping, Prompts, ToS 12:44 Using Copyright to Protect AI 16:21 Copyright: Human Authorship, Code Protection, Fair Use 21:27 Patents: Inventorship Guidance, Eligibility, Open Issues 29:58 Contracts: Data Rights, Output Ownership, Strategy

This week Ivy Slater, host of Her Success Story, chats with her guest, Peg Wright. Peg Wright's inspiring journey from the corporate world to launching a nonprofit, the evolution of CGE's trauma-informed approach to supporting homeless pregnant women and adolescents struggling with addiction, and how building a dedicated team has allowed the organization to serve over 600 people each year.  In this episode, we discuss: How Peg Wright founded the Center for Great Expectations in 1998 to serve homeless pregnant women and adolescents battling cycles of homelessness, abuse, and addiction, building the organization from the ground up with mentorship and collaboration. What Peg has learned about treating trauma and substance use simultaneously, integrating expert research and evolving best practices into long-term residential and outpatient programs tailored for women's unique needs. When and why Peg expanded services to include supportive housing and holistic care addressing social determinants of health, recognizing that stable housing, infant mental health, and comprehensive support are critical for sustained recovery. Why Peg emphasizes listening and presence as key support for individuals in crisis, encouraging community members to be informed and compassionate allies to those facing hardship. How Peg encourages nonprofit newcomers to follow their passion and start where they are, underscoring that even small contributions, volunteer efforts, or advocacy can create ripple effects in addressing systemic challenges.   Peg Wright has served as President and CEO of The Center for Great Expectations since 1998, when she founded The Center to assist homeless, pregnant women and adolescents in "breaking the cycle" of homelessness, abuse and addiction. The program began in a donated house in Somerville, serving twelve women per year. Under Peg's leadership, CGE now provides an uncompromised continuum of care across prevention and treatment of substance use and mental health disorders, for individuals who have experienced trauma, with relationally-based programs including Residential Treatment Centers for women and adolescents and their children; Katy's Place, an on-site child development center; the Roots to Recovery outpatient center in New Brunswick; 28 units of Permanent Supportive Housing; and START, a free one-of-a-kind in-home and telehealth program for pregnant or parenting clients and their infants. The Institute of CGE trains and consults clients and partners in our client-centered, evidence-based approaches. Peg leads a team of 115 full- and part-time employees, countless volunteers, and a dedicated Board of Trustees. Her commitment to providing the most impactful programming has supported an innovative clinical approach, resulting in programs that address underlying traumas and focus on building self-esteem, life skills and the critical relationship between mother and child. Informed by CGE's foundational Trauma C.A.R.E.© model and evidence-based approaches, The Center provides client-centered treatment for the best possible outcomes for both parent and child, including early relational health, to break the cycle of intergenerational trauma, substance use and homelessness. During her first career in sales and sales management of diagnostic imaging equipment, Peg developed the dynamic skills she uses today to partner with the public, private, and academic sectors to bring the highest level of care to the clients of The Center. She is passionate in collaborating with dedicated behavioral health clinicians, specializing in trauma-informed care and early relational health, to advance the individualized, compassionate mental health and substance use treatment CGE provides to marginalized women and men from all counties of New Jersey. On September 23, 2021, Peg received Somerset County Business Partnership's 70th Citizen of the Year Award. In 2018, Peg was recognized for her service to the community, receiving the New Jersey State Governor's Award for Public Service, by the State of New Jersey, the Jefferson Awards Foundation. She was also named Citizen of the Year by the New Jersey Psychology Association, an award given to a non-psychologist who has made significant contributions to the ideals of mental health or social welfare. That same year, Wright was named in the "Top 25 Leading Women Entrepreneurs and Intrapraneurs" by New Jersey monthly magazine, in the categories of Innovation, Community Involvement, and Advocacy for Women. In 2015, Peg was selected as an NJBIZ "Top 50 Women in Business," an affirmation of her outstanding contribution in the nonprofit sector. and was honored to be named a "New Jersey Hero," by the NJ Heroes Foundation. Governor Chris and First Lady Mary Pat Christie and leaders of the Foundation visited The Center for Great Expectations to tour the facilities, meet clients and staff, and deliver Peg's award, along with a foundation grant. In 2025, Peg received a Russ Berrie, Making a Difference Award, honoring NJ changemakers. Peg is asked to share her expertise in the field of behavioral health: She is an affiliate member of Dr. Denise Hien's multidisciplinary team of external research collaborators and addiction education instructors at Rutgers University's Center of Alcohol & Substance Use Studies (CAS), as well as a founding community advisory board member of CAS's new Wellness in Recovery (WinR) Addiction Advocacy Research Program, directed by Dr. Margaret Swarbrick and co-directed by Dr. Hien. Peg is also a founding member of the Addiction and Behavioral Health Alliance, launched in 2018, by Dr. Bob Lynn. Year-round Peg is invited to showcase the work of CGE and share her experience with friends and colleagues throughout New Jersey. Most recently, in January 2022, Peg convened with 60 participants from around the world to share the work of The Institute of CGE at the virtual learning event "Models of Community-Centered Maternal Mental Health and Substance Use Disorder Programs," organized by The Community Health Acceleration Partnership (CHAP). To mark International Women's Day, Peg was asked to keynote a special meeting of The College Woman's Club of Westfield, founded in 1917 "to further the higher education of women and serve the general interests of the community" in the awarding of scholarships.        

In this ep Brent, Chandler, and Derek talk about the mech that is named after the ancient greek warriors, the Spartan. [0:00] - Introduction [7:34] - Models [45:00] - Pilot Profiles [54:05] - Data Dive: Martinson Armaments [57:44] - Sources Edited by: Brent Patreon https://linktr.ee/uroboros_of_old Email: ontheoriginofbattlemechs@gmail.com Student Patrons: Harris Hoffman, Squared, Andrew B, Mario, Paladin58, and Phaz Ace Pilots: John Keith III

This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents.  Visit https://agntcy.org/ and add your support. Most large language models today generate text one token at a time. That design choice creates a hard limit on speed, cost, and scalability. In this episode of Eye on AI, Stefano Ermon breaks down diffusion language models and why a parallel, inference-first approach could define the next generation of LLMs. We explore how diffusion models differ from autoregressive systems, why inference efficiency matters more than training scale, and what this shift means for real-time AI applications like code generation, agents, and voice systems. This conversation goes deep into AI architecture, model controllability, latency, cost trade-offs, and the future of generative intelligence as AI moves from demos to production-scale systems. Stay Updated: Craig Smith on X: https://x.com/craigssEye on A.I. on X: https://x.com/EyeOn_AI (00:00) Autoregressive vs Diffusion LLMs (02:12) Why Build Diffusion LLMs (05:51) Context Window Limits (08:39) How Diffusion Works (11:58) Global vs Token Prediction (17:19) Model Control and Safety (19:48) Training and RLHF (22:35) Evaluating Diffusion Models (24:18) Diffusion LLM Competition (30:09) Why Start With Code (32:04) Enterprise Fine-Tuning (33:16) Speed vs Accuracy Tradeoffs (35:34) Diffusion vs Autoregressive Future (38:18) Coding Workflows in Practice (43:07) Voice and Real-Time Agents (44:59) Reasoning Diffusion Models (46:39) Multimodal AI Direction (50:10) Handling Hallucinations

On this week's episode of the Beyond Kicks Podcast, Charley & Seth catch up on all the recent sneaker news and pick-ups from the past week while also diving into Complex's list of the top NEW MODELS of 2025. _________________________

A good year in modeling doesn't happen by accident. It grows out of small bench wins, a few brave skill pushes, and the friends who show up at the right time. We wrap 2025 with a clear-eyed look at what worked, what changed, and how to carry that energy into 2026—plus a rich conversation with Australia's own Paul Gloster on moving his entire modeling life across states without losing momentum.We start with holiday check-ins, realistic bench talk, and the simple joy of a new tool that actually solves a problem. From there, we dig into the skills that moved the needle this year: sharper re-engraving, cleaner canopies, tighter scratchbuilding, and just enough 3D printing to expand what's possible. Then we head into travel and community. Four days at the IPMS National Convention changes your modeling in ways a two-day show can't—deeper seminars, patient conversations, and the kind of learning that sticks. It's where “model friends” become friends, and where you can see a kit built before it lands in your shop.Paul's segment is a masterclass in keeping mojo alive during a move. He shows how to triage a stash, protect finished builds with foam and tubs, and assemble a small, reachable “twelve-kit shortlist” that keeps you building while the new bench comes together. He catalogs tools by role, keeps a “desert-island” core set handy, and ensures references are within reach so progress doesn't stall. If you're searching for how to move built models, how to store unbuilt kits long-term, or how to set up a temporary modeling bench, you'll leave with a proven plan.We also riff on the kit news that made 2025 pop: Fine Molds' Zeros and F-104s, Tamiya's 1/72 F-14, Rye Field's JS-2, and Arma's incoming 1/72 Me 262. More than eye candy, these releases give modelers fresh canvases—better engineering, great markings, and subjects that reward both clean builds and heavy weathering.If you're plotting your own 2026, here's our take: set one or two honest goals, pick a some that stretch you, and build the bench you want to return to. The rest follows. Enjoy the episode, share it with a modeling friend, and help someone new find their groove.If you had a favorite kit reveal or a skill breakthrough in 2025, tell us about it. And if this resonated, please follow, rate, and leave a short review—it helps more modelers find the show.Model Paint SolutionsYour source for Harder & Steenbeck Airbrushes and David Union Power ToolsSQUADRON Adding to the stash since 1968Model PodcastsPlease check out the other pods in the modelsphere!Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Give us your Feedback!Rate the Show!Support the Show!PatreonBuy Me a BeerPaypalBump Riffs Graciously Provided by Ed BarothAd Reads Generously Provided by Bob "The Voice of Bob" BairMike and Kentucky Dave thank each and everyone of you for participating on this journey with us.

Part 2 of this two-part dive into the recent batch of released Epstein files kicks off by naming more of the men photographed in the Epstein files who seemingly enjoyed the spoils of supporting his network, from magician David Copperfield, to disgraced movie director Brett Ratner, to named co-conspirator, and infamous predator disguised as a model scout, Jean-Luc Brunel. With more released documentation of what victims were reporting over the years, and who could have taken action, the number of people who chose to look the other way is astounding. A startling FBI Tip from an alleged victim regarding Epstein and Trump's involvement in crimes against her at 13-years old on Lake Michigan takes us on a historical dive into forced business connections with that area that span decades. Several victim statements and allegations are reviewed, and throughout, we see the impact of Virginia Giuffre's bravery to pursue legal action against Ghislaine Maxwell and speak publicly. All opinions are personal and not representative of any outside company, person, or agenda. This podcast is hosted by a United States citizen, born and raised in a military family that is proud of this country's commitment to free speech. Information shared via published articles, legal documents, press releases, government websites, executive orders, public videos, news reports, and/or direct quotes and statements, and all may be paraphrased for brevity and presented in layman's terms.Check your voter registration, find your polling location, or contact your representatives via USA.GOV, VOTE.GOV, and/or the "5 Calls" app. “I love America more than any other country in the world and, exactly for this reason, I insist on the right to criticize her perpetually.” - James BaldwinWanna support this independent pod? Links below:BuyMeACoffee - https://www.buymeacoffee.com/BBDBVenmo @TYBBDB Hosted on Acast. See acast.com/privacy for more information.

Eric Bradlow, Shane Jensen, and Adi Wyner examine how AI-driven metrics, model calibration, and Bayesian approaches inform quarterback evaluation, team upsets, and the evolving limits of sports analytics. Hosted on Acast. See acast.com/privacy for more information.

This episode is a special replay from The Generalist Podcast, featuring a conversation with a16z General Partner Martin Casado. Martin has lived through multiple tech waves as a founder, researcher, and investor, and in this discussion he shares how he thinks about the AI boom, why he believes we're still early in the cycle, and how a market-first lens shapes his approach to investing.They also dig into the mechanics behind the scenes: why AI coding could become a multi-trillion-dollar market, how a16z evolved from a small generalist firm into a specialized organization, the growing role of open-source models, and why Martin believes AGI debates often obscure more meaningful questions about how technology actually creates value. Resources:Follow Mario GabrieleX: https://x.com/mariogabrielehttps://www.generalist.com/Follow Martin Casado:LinkedIn: https://www.linkedin.com/in/martincasado/X: https://x.com/martin_casadoThe Generalist Substack: https://www.generalist.com/The Generalist on YouTube: https://www.youtube.com/@TheGeneralistPodcastSpotify: https://open.spotify.com/show/6mHuHe0Tj6XVxpgaw4WsJVApple: https://podcasts.apple.com/us/podcast/the-generalist/id1805868710 Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this Brand Highlight, we talk with Michael Roytman, CTO of Empirical Security, about a problem many security teams quietly struggle with: using general purpose AI tools for decisions that demand precision, forecasting, and accountability.Michael explains why large language models are often misapplied in security programs. LLMs excel at summarization, classification, and pattern extraction, but they are not designed to predict future outcomes like exploitation likelihood or operational risk. Treating them as universal problem solvers creates confidence gaps, not clarity.At Empirical, the focus is on preventative security through purpose built modeling. That means probabilistic forecasting, enterprise specific risk models, and continuous retraining using real telemetry from security operations. Instead of relying on a single model or generic scoring system, Empirical applies ensembles of models tuned to specific tasks, from vulnerability exploitation probability to identifying malicious code patterns.Michael also highlights why retraining matters as much as training. Threat conditions, environments, and attacker behavior change constantly. Models that are not continuously updated lose relevance quickly. Building that feedback loop across hundreds of customers is as much an engineering and operations challenge as it is a data science one.The conversation reinforces a simple but often ignored idea: better security outcomes come from using the right tools for the right questions, not from chasing whatever AI technique happens to be popular. This episode offers a grounded perspective for leaders trying to separate signal from noise in AI driven security decision making.Note: This story contains promotional content. Learn more.GUESTMichael Roytman, CTO of Empirical Security | On LinkedIn: https://www.linkedin.com/in/michael-roytman/RESOURCESLearn more about Empirical Security: https://www.empiricalsecurity.com/LinkedIn Post: https://www.linkedin.com/posts/bellis_a-lot-of-people-are-talking-about-generative-activity-7394418706388402178-uZjB/Are you interested in telling your story?▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlightKeywords: sean martin, michael roytman, ed beis, empirical security, cybersecurity, ai, machinelearning, vulnerability, risk, forecasting, brand story, brand marketing, marketing podcast, brand story podcast, brand spotlight Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

From Berkeley robotics and OpenAI's 2017 Dota-era internship to shipping RL breakthroughs on GPT-4o, o1, and o3, and now leading model development at Cursor, Ashvin Nair has done it all. We caught up with Ashvin at NeurIPS 2025 to dig into the inside story of OpenAI's reasoning team (spoiler: it went from a dozen people to 300+), why IOI Gold felt reachable in 2022 but somehow didn't change the world when o1 actually achieved it, how RL doesn't generalize beyond the training distribution (and why that means you need to bring economically useful tasks into distribution by co-designing products and models), the deeper lessons from the RL research era (2017–2022) and why most of it didn't pan out because the community overfitted to benchmarks, how Cursor is uniquely positioned to do continual learning at scale with policy updates every two hours and product-model co-design that keeps engineers in the loop instead of context-switching into ADHD hell, and his bet that the next paradigm shift is continual learning with infinite memory—where models experience something once (a bug, a mistake, a user pattern) and never forget it, storing millions of deployment tokens in weights without overloading capacity. We discuss: Ashvin's path: Berkeley robotics PhD → OpenAI 2017 intern (Dota era) → o1/o3 reasoning team → Cursor ML lead in three months Why robotics people are the most grounded at NeurIPS (they work with the real world) and simulation people are the most unhinged (Lex Fridman's take) The IOI Gold paradox: "If you told me we'd achieve IOI Gold in 2022, I'd assume we could all go on vacation—AI solved, no point working anymore. But life is still the same." The RL research era (2017–2022) and why most of it didn't pan out: overfitting to benchmarks, too many implicit knobs to tune, and the community rewarding complex ideas over simple ones that generalize Inside the o1 origin story: a dozen people, conviction from Ilya and Jakob Pachocki that RL would work, small-scale prototypes producing "surprisingly accurate reasoning traces" on math, and first-principles belief that scaled The reasoning team grew from ~12 to 300+ people as o1 became a product and safety, tooling, and deployment scaled up Why Cursor is uniquely positioned for continual learning: policy updates every two hours (online RL on tab), product and ML sitting next to each other, and the entire software engineering workflow (code, logs, debugging, DataDog) living in the product Composer as the start of product-model co-design: smart enough to use, fast enough to stay in the loop, and built by a 20–25 person ML team with high-taste co-founders who code daily The next paradigm shift: continual learning with infinite memory—models that experience something once (a bug, a user mistake) and store it in weights forever, learning from millions of deployment tokens without overloading capacity (trillions of pretraining tokens = plenty of room) Why off-policy RL is unstable (Ashvin's favorite interview question) and why Cursor does two-day work trials instead of whiteboard interviews The vision: automate software engineering as a process (not just answering prompts), co-design products so the entire workflow (write code, check logs, debug, iterate) is in-distribution for RL, and make models that never make the same mistake twice — Ashvin Nair Cursor: https://cursor.com X: https://x.com/ashvinnair_ Chapters 00:00:00 Introduction: From Robotics to Cursor via OpenAI 00:01:58 The Robotics to LLM Agent Transition: Why Code Won 00:09:11 RL Research Winter and Academic Overfitting 00:11:45 The Scaling Era and Moving Goalposts: IOI Gold Doesn't Mean AGI 00:21:30 OpenAI's Reasoning Journey: From Codex to O1 00:20:03 The Blip: Thanksgiving 2023 and OpenAI Governance 00:22:39 RL for Reasoning: The O-Series Conviction and Scaling 00:25:47 O1 to O3: Smooth Internal Progress vs External Hype Cycles 00:33:07 Why Cursor: Co-Designing Products and Models for Real Work 00:34:14 Composer and the Future: Online Learning Every Two Hours 00:35:15 Continual Learning: The Missing Paradigm Shift 00:44:00 Hiring at Cursor and Why Off-Policy RL is Unstable

This podcast, a presentation at the Collaborative Family Healthcare Association 2025 conference in Raleigh, North Carolina, explores the intersection of behavioral healthcare in primary care settings through two Integrated Care models: the collaborative care model (CoCM) and the primary care behavioral health model (PCBH). CoCM utilizes a structured interdisciplinary approach to deliver evidence based behavioral interventions alongside medication recommendation and management. PCBH adopts an integrated care approach, embedding behavioral health consultants within the primary care setting, making it easier for patients to receive holistic treatment. We will discuss key components, patient outcomes, collaboration, techniques, and lessons learned in an academic family medicine clinic.

Paul highlights Timothy and Epaphroditus as examples of faithful disciples—men who lived out the gospel with integrity, sacrifice, and genuine concern for others. Their lives model what it means to be an obedient follower and a gracious friend. Who are you learning from? And who are you modeling this for?

Wes and Scott revisit their 2025 web development predictions, grading hits and misses across AI, browsers, frameworks, CSS, and tooling. From Temporal and AI coding agents to React, Vite, and vanilla CSS, they reflect on what actually changed, what stalled, and what it all means heading into 2026. Show Notes 00:00 Welcome to Syntax! 866: 2025 Web Development Predictions 01:26 Temporal API will ship in the browser 03:33 On-device AI becomes common 06:14 WebGPU unlocks fast local machine learning TypeGPU 07:10 Models will plateau 10:32 Is there an actual use case for video and photo gen AI? 13:27 Text to UI tools get really good 16:25 Framework choice will matter less 18:53 Web components in Standard Stack, Web Awesome takes off 21:37 AI browsers and Copilot Workspace-style tools will become normal 22:56 AI browsera will become inevitable, OpenAI will launch a browser 27:51 Relative color will feel fully “safe to use” 29:02 Vanilla CSS will make a comeback 30:33 Brought to you by Sentry.io 30:58 CSS mixins and functions spec solidifies CSS Custom Functions and Mixins Module Level 1 33:25 Container style queries will ship everywhere CSS if statements 35:40 Vertical centering jokes will stubbornly persist 36:20 VS Code will reach feature parity with Cursor 38:47 More VS Code forks will appear 39:46 React Compiler drops Babel 40:34 React server components will pop 42:17 Remix re-emerges as something new 43:17 React Native will have its time 44:21 TanStack Start and Tanstack will pop 45:46 SvelteKit gets more granular data loading 46:06 Local first apps will take off 46:43 Bun keeps doing “wild but loved” non-standard features, Bun will launch a platform-as-a-service 48:22 Vite stays king 51:07 Laravel will release a CMS 52:44 Sick Picks + Shameless Plugs Sick Picks Scott: DARKBEAM Flashlight UV Black Light Wes: WOOZOO Fan Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

*Get Shaan's 4 money rules that took him from broke to $25M by 30:* https://clickhubspot.com/wrg Episode 777: Shaan Puri ( ⁠https://x.com/ShaanVP⁠ ) talks to Chris Camillo ( https://x.com/ChrisCamillo ) about how he turned $20K into $60M using social arbitrage investing.  — Show Notes: (0:00) Intro (1:00) Turning $20K to $60M (5:30) Garage sale arbitrage (12:36) Observational investing (14:33) Bet: Beacon Roof (19:03) Bet: E.l.f (22:04) Trending on Twitter (29:00) Ticker Tags (31:55) Bet: Sphere in Las Vegas (36:48) Chris's first million (40:34) My biggest mistake (43:42) Bet: Palantir (46:58) Drawing down 40% of my net worth (51:49) $30M in one year (57:39) 2026 picks: Bloom Energy, Palantir, NVIDIA (1:02:06) Should regular people do this? (1:13:45) Bet: Private airfaire — Links: • Ticker Tags - https://ticker-tags.com/  • Dumb Money Live - https://www.youtube.com/@DumbMoneyLive  • Unknown Market Wizards - https://www.amazon.com/Market-Wizards-traders-youve-never/dp/0857198696  • Bloom -  https://www.bloomenergy.com/  — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com  • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Need a bank for your company? Go check out Mercury (mercury.com). Shaan uses it for all of his companies! Mercury is a financial technology company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., and Evolve Bank & Trust, Members FDIC — Check Out Sam's Stuff: • Hampton - https://www.joinhampton.com/ • Ideation Bootcamp - https://www.ideationbootcamp.co/ • Copy That - https://copythat.com • Hampton Wealth Survey - https://joinhampton.com/wealth • Sam's List - http://samslist.co/ My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano //

Tots TURNT: We have an update on the final push for Tots TURNT. Shout outs to everyone that has donated. Corey's Angels Live: We must continue our watch of the best show on the Internet, Corey's Angels Live. This is a complete disaster. Special Guests: Fred Durst is in the building and Gerard McMahon, all the celebs! THE BEAR!, FUCK YOU, WATCH THIS!, THE KINKS!, FATHER CHRISTMAS!, SENTIENT NECK PUSSY!, AI!, ROAST!, TOTS TURNT!, DONATIONS!, SUPPORT!, COREY'S ANGELS LIVE!, COMMENTS!, CHAT!, SCROLLING!, DAISY DE LA HOYA!, HATERS!, TROLLS!, MODELS!, MERCH!, MONOLOGUE!, HOWARD STERN!, ROAST!, MICHAEL JACKSON!, SURGERY!, PHILIP SEYMOUR HOFFMAN!, LOVE OR POOP!, VOTES!, GRAPH!, GUY ON THE BOARDS!, TRYOUTS!, HATERS!, FRED DURST!, CRY LITTLE SISTER!, GERARD MCMAHON!, MICHAEL SCOTT!, SCUMBAG JOSH!, SUPERCHATS!, JAMESONANDJACK!, JUSTIN BIEBER!, PHILIP SEYMOUR HOFFMAN!, OVERDOSE!, BILL SHYTE!, FASHION SHOW!, ROCK OF LOVE!, DAISY OF LOVE!, SCIENCE!, BEANIE!, FISHERMAN HAT!, COOCOO!, AMERICA'S GOT TALENT!, BOOGIE DOWN!, PERFECT ENDING!  You can find the videos from this episode at our Discord RIGHT HERE!

PREVIEW: General Blaine Holt warns that military war games frequently escalate toward nuclear conflict, a tendency that integrating artificial intelligence might accelerate rather than mitigate. He argues that current models often lead to "civilization consequences," necessitating new simulation constructs focused on de-escalation despite aggressive geopolitical rhetoric.