Podcast appearances and mentions of Craig Smith

One in four patients currently being considered for life support withdrawal may actually be fully conscious, they just can't signal it. That single finding, from a landmark New England Journal of Medicine study, is the practical stakes behind one of the most philosophically rich conversations in this series. Dr. Christof Koch - former president of the Allen Institute for Brain Science, 25-year collaborator with Nobel laureate Francis Crick, and founder of the startup Intrinsic Powers - joins Craig Smith to discuss why the hard problem of consciousness remains unsolved, what integrated information theory predicts about which systems can and cannot be conscious, and why his own mystical experience three years ago shifted his view from physicalism toward idealism. The conversation is grounded throughout in empirical work: Koch explains how Intrinsic Powers uses brain complexity measurements - sending magnetic pulses into the brain and measuring the complexity of the electrical response - to detect consciousness in behaviorally unresponsive patients, providing clinical teams and families with one critical bit of information at the most consequential moment of their lives. The episode closes with Koch's most personal revelation: a mystical experience in which the boundary between self and world dissolved and he felt direct acquaintance with the idea that everything is ultimately mental, an experience he is careful to distinguish from supernatural claims, but which shifted his metaphysical view in ways he describes with unusual candor for a scientist of his standing. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

Craig Smith teaches from Luke 19:11-27, the parable of the ten minas, and asks a question that hits close to home: Is the line between a faithful follower of Jesus and a hypocrite thinner than we think? This message breaks down why the king in the story is the most generous character in the Bible, and why your faithfulness with money, not your results, is what unleashes that generosity in your own life.

The AI systems guiding Ukrainian combat drones aren't running on expensive Nvidia chips. They're running on a Raspberry Pi Zero - a $15 hobby computer - and that single detail tells you more about how Ukraine's drone war is actually being fought than any headline about AI weapons. Craig Smith sits down with Alex Liannoy, CTO of NORDA Dynamics, for a technically specific and operationally candid conversation about what autonomous drone guidance looks like from inside the team building it. NORDA builds the avionics and targeting modules that plug into drones made by approximately 40 of Ukraine's hundreds of manufacturers, solving the two problems that make drone warfare hard at range: GPS denial from jamming, and the radio horizon that causes pilots to lose contact with their drone in the final 300 to 400 meters before ground level. NORDA's terminal guidance module takes over at up to one kilometer from the target, completing the approach autonomously while a human pilot's earlier lock defines the destination. The most counterintuitive finding in the episode is about what keeps humans in the loop, and it isn't ethics. Alex's argument is pragmatic: military doctrine requires proof that a drone hit its intended target. If you're monitoring the drone to verify the hit, you have enough connection to control it, which makes full autonomy less necessary than it might appear. That said, he's clear that the technology is "very close", one pilot already controls up to 32 drones simultaneously in some deployed systems, and target detection AI for notifying pilots of candidate targets is already in the field. The episode closes with a hardware finding that should recalibrate anyone's assumptions about AI compute requirements: after engineers mocked NORDA for using Raspberry Pi 4, they moved to the smaller, less powerful Raspberry Pi Zero. Both run real-time computer vision in active combat. The lesson Alex draws is precise: good engineering overcomes chip limitations, bad engineering can overload even a high-end processor. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI. 

Craig Smith admits the 80/20 rule- twenty percent of people doing eighty percent of the work- made him bitter for years before it made him grateful. He and Kelly talk about why comparison is mostly an environmental problem, why he hasn't opened TikTok since summer, and a three-word filter (content, pattern, relationship) for confronting someone without making a mountain out of a molehill. Plus the word Luke actually uses for Martha, which sounds less like distraction and more like a donkey dragging a load.

What if the difficult person in your life is more than the problem you can see? In Luke 10, Martha's frustration with her sister quickly spills over into resentment toward Jesus. But instead of treating Martha like a problem to fix, Jesus looks beyond her behavior and responds to her with both compassion and truth. He shows us that the problems we see in people can sometimes be the product of pain we don't see—and that our own pain can shape how we see others. In this message, Craig Smith explores how to approach difficult relationships without excusing harmful behavior, why our response is our responsibility, and what it looks like to combine compassion with clear boundaries. Jesus sees people to be loved, not problems to be solved. Discover how that truth can change the way you see others—and yourself. Watch or listen, reflect, and consider one relationship where God may be inviting you to respond differently this week.

The first armed drone Ukraine ever fielded wasn't built in a factory or procured from a defense contractor. It was built in four months by a network engineer using a Starlink terminal and a large agricultural quadcopter frame, and the man who built it, Maj Phoenix, co-founder of Lasars Group, joins Craig Smith in Kyiv to explain exactly how it happened and what the battlefield looks like now. The conversation traces the full arc from that first prototype - with its two-person crew of pilot and navigator, operating beyond line of sight using satellite imagery and landmarks - to the layered drone architecture Lasars Group now operates: FPV drones on fiber optic covering 30 kilometers, heavy bombers reaching 65 kilometers, ISR planes surveilling the entire range, and interceptors protecting each crew position. The most unexpected part of this conversation is what drone technology has done to the physical shape of the war. As drone range has expanded - from rifles at 400 meters to FPV at 10 kilometers to heavy bombers at 65 kilometers - the kill zone between the two armies has grown to match, pushing human soldiers further apart and turning the conflict increasingly into drones fighting drones rather than people fighting people. Phoenix frames this explicitly as a reduction in human casualties. The episode also reveals a genuinely surprising institutional innovation: Ukraine's "Army of Drones Bonus" system, a gamified procurement platform where units earn virtual points for destroyed targets and spend them on a drone marketplace, creating competition among manufacturers to build cheaper, more effective systems and directing the best equipment to the highest-performing units. Craig also asks directly about the psychological reality of FPV warfare, following a specific soldier through a camera, watching him try to hide, and killing him, and Phoenix answers with a moral clarity that is both philosophically coherent and quietly unsettling. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

Most of us have a complicated relationship with work — we pray for it, then complain about it. Pastor Craig Smith opens Genesis 1 to make a case that work isn't a curse; it's the first thing God ever called us to. When you see your job as joining God in creating, caring, organizing, and ruling, everything looks different.

Most companies investing in AI visibility are optimizing for the wrong thing. Being cited by an AI response and being recommended by an AI response are completely different outcomes, with click-through rates that differ by a factor of 70. Tim Sanders, Chief Innovation Officer of G2 and executive fellow at Harvard's AI Institute, joins Craig Smith to explain the hidden mechanics behind how ChatGPT and Gemini actually decide which software to recommend, and why the answer has almost nothing to do with what's on your website. When a user asks a commercial intent question, both models enter a "validation layer" process that specifically down-weights vendor content and seeks verified third-party signals: appearance on authoritative lists (41% of the recommendation weight), awards and accreditation (18%), and online reviews (16%). None of these can be manufactured. They must be earned. The conversation covers the structural transformation in how B2B software buyers behave, half now start their search with an AI prompt, up from 29% a year ago, with two-thirds projected within a year, and why most companies' organic search traffic is on a structural path toward zero. Sanders also delivers some of the most specific competitive data on AI model usage available anywhere: ChatGPT does live retrieval 100% of the time on research queries; Claude does it less than 40% of the time. ChatGPT and Gemini account for 81% of G2's AI research citations. And more than one in four enterprise employees bypass corporate AI tools entirely, using their personal ChatGPT because it has their memory and none of the guardrails. The episode closes with Sanders' most forward-looking prediction: within three years, AI agents will write the prompts, locate the software, and purchase it on behalf of businesses - with minimal human checkpoints - making the trust infrastructure G2 has built over more than a decade the most valuable asset in the AI-driven buying cycle. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

Every major data breach in the last 30 years shares the same root cause: the data inside the wall was never protected, only the wall. And AI frontier models are now making that wall easier to breach than ever, scanning codebases externally to discover undisclosed vulnerabilities and write exploits before anyone knows the hole exists. Trent Telford, Chairman, CEO & Founder of Qanapi, joins Craig Smith to explain why the entire architecture of conventional cybersecurity is structurally broken, and what a genuinely different approach, built from the opposite assumption, looks like. Rather than trying to build a better wall, Qanapi starts from the baseline that the data will eventually be exposed, and encrypts it at the individual word, paragraph, or database cell level, tying each unique key to a verified identity and a set of conditional policies that must all be met simultaneously before anything can be decrypted. The most commercially urgent application of this architecture is one that unlocks AI adoption for enterprises that have been sitting on the sidelines: Qanapi's gateway service encrypts sensitive fields before data reaches Claude, ChatGPT, or any other frontier model, and the model simply reports it cannot read the encrypted sections, while still reasoning over everything else. Trent discusses how Qanapi's Fathom tool confirmed in testing that Claude could not read the encrypted sections. He describes two major retailers - one using AI heavily, one abstaining entirely because of data security concerns - and asks the question every enterprise leader should be sitting with: how long can you last off the train before you get blitzed? The episode also covers drone security in denied wireless environments, the post-quantum encryption mandate that federal agencies have no practical plan to execute, and why Qanapi's business has exploded in the last six months as the AI gold rush has finally turned its attention from models to infrastructure. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

What happens when someone publicly disagrees with you, criticizes your message, or reacts to your content in a way you don't exactly love? Your first instinct might be to defend yourself, fire back, or let your ego take over. In this episode of The Brad Jensen Show, Craig Smith and I break down a recent situation where someone reacted to one of my videos and strongly disagreed with my message. He wasn't attacking me personally—he was attacking the message and challenging my perspective. I had a choice. I could get defensive and respond from my ego, or I could take the high road. I chose the latter. Instead of firing back, I responded with kindness and even reached out to him personally. I told him there was no love lost, that I respected what he does, and that I think he creates great content—even though we absolutely do not see eye to eye on the carnivore diet. What happened next was pretty damn cool. He made another video about my response that was not only hilarious, but incredibly kind toward me as a person. That opened up a much bigger conversation between Craig and me about something we desperately need more of: the ability to disagree without becoming enemies. Not everyone is going to agree with your message. Not everyone is going to see the world the way you do. And someone challenging your ideas doesn't automatically mean they're attacking you. Sometimes the strongest thing you can do is put your ego aside, stay curious, take the high road, and leave room for respectful disagreement. Because when you stop treating every disagreement like a personal attack, you might actually learn something, build a relationship, or turn a potential enemy into a connection. We need more conversations like that. Key Nutrition Links: Work With a Nutrition Coach - Schedule A Consultation Nutrition Coaching - www.keynutrition.com   Partner Links: Order Supplements From Morphogen - Shop Here Order Supplements From Cured Nutrition - Shop Here   Be Featured on the Show: Apply to be a live calller guest on the show - Submit Application Here Submit Q&A Questions to be read live on the show - Submit Here   Free Guides: Eating Out Guide - Get The Guide High-Protein Fast Food Orders - Get the Guide Macro Food Options Guide - Get The Guide Join Us On Patreon - Join Here   Connect with us on Instagram: Host Brad Jensen – @thesoberbodybuilder Co-Host Craig Smith - @greatestdaymindset Key Nutrition – @keynutritioncoaching

Every AI model in production today has the same hidden tax: doubling the context window quadruples the compute. That's what quadratic compute complexity means in practice, and it's the reason enterprises are spending most of their AI engineering budget on context management rather than on the actual problems they're trying to solve. Alexander Whedon, co-founder and CTO of Subquadratic, joins Craig Smith to explain how SubQ's sparse attention mechanism eliminates that tax, achieving 40 times faster inference and 64 times less compute than standard attention at one million tokens, and what becomes possible when that constraint disappears. The conversation covers striking benchmark findings: 86% of what frontier coding agents do is "read steps," just trying to gather and organize context before the actual problem-solving begins, and frontier models drop well below 50% accuracy on financial document analysis at 500,000 tokens, revealing how asymmetric long context capability actually is across industries. The most commercially important argument in this episode is about enterprise data. Most large organizations are sitting on hundreds of billions of tokens of data they've never been able to put to work in an AI product, told they need a $10 million data transformation project before they can even start building. Alex's core claim is that SubQ's architecture makes that barrier no longer necessary, enabling enterprises to process far more of their data with far less curation, at a fraction of the cost. He closes with what he describes as the most important and underexplored frontier in AI right now: we are still very far from understanding what users actually want from models reasoning over millions of tokens, and the product and alignment work needed to answer that question has barely begun. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

In 2023, General Cherry started making 10 drones a month. Today they're approaching 100,000. Marko Kushnir, communications director of one of Ukraine's top-five drone manufacturers, joins Craig Smith for one of the most operationally specific conversations available about what drone warfare looks like at industrial scale, from the daily feedback loops with front-line units that drive product iteration, to the $2,000 interceptor drone that can destroy a $100,000 Shahed, to the on-device AI targeting model that guides an interceptor to impact at 70% accuracy after the operator activates it and steps back. The conversation's most important insights are structural rather than technical. Marko describes the fundamental asymmetry of the conflict with unusual precision: Ukraine's decentralized, startup-driven ecosystem produces new technologies faster than Russia's command economy, but Russia's vertical industrial structure copies and scales those technologies faster than Ukraine can stay ahead. He also expresses genuine alarm about fully autonomous AI drones, not from an ethical standpoint but from a practical one: any autonomous capability Ukraine deploys will be in Russian hands within weeks, making full autonomy a danger Ukraine would share immediately with its enemy. The episode closes with his most far-reaching argument: just as the internet era created a cybersecurity industry that every organization eventually had to build, the drone era is now beginning, and every government, police force, and major corporation will soon need a drone security department to function safely in a world where drones are as common as smartphones. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

You had the best intentions. You picked your words carefully. So why did it still go sideways? In this episode of Continuing the Conversation, Craig Smith and Colin McFarland dig into one of the most practically useful ideas from Sunday's message in the Proverbs series — the difference between knowing a truth and knowing when and how to speak it. They unpack a framework of three Ms: motive, manner, and moment. Get one wrong and even the most important truth can land like a grenade. Craig shares a real and surprisingly difficult example — what should a pastor's wife say when her husband genuinely isn't a strong preacher? — to show just how layered these situations get in real life. Colin pushes back with a great observation: most of us check one or two boxes and convince ourselves that's enough. It's not. All three have to be in place. This episode also goes behind the scenes of sermon prep — including the rare week Craig had to trash a nearly finished message and start over days before Sunday, and why single-verse preaching makes him more anxious than almost anything else. 

You meant well. So why did that conversation make everything worse? Pastor Craig Smith unpacks Proverbs 27:14 — a proverb about a guy who loudly blesses his neighbor at sunrise and gets cursed for it — to reveal three things that determine whether a hard conversation heals a relationship or damages it: motive, manner, and moment. If you have a conversation you've been dreading, or one you regret, this message is for you.

A Ukrainian entrepreneur who spent 14 years building cameras for pets pivoted to building cameras that down Shaheds, and is now building the autonomy software that could define how wars are fought for the next generation. Yaroslav Azhnyuk, co-founder of Fourth Law, joins Craig Smith in Kyiv to explain why Ukraine has become what he calls the Defense Valley or the Florence of Defense: a dense, fast-moving ecosystem of founders, engineers, and military operators who are building, testing, and iterating on autonomous drone systems in real combat conditions, with a feedback loop that no defense contractor in the West can currently match. The conversation covers Azhnyuk's five-level autonomy framework for drones, the eight-dimensional model for what a fully autonomous battlefield ecosystem requires, and the economic math that he believes makes global rearmament inevitable: a $500 drone that can already destroy a $5 million tank becomes roughly 10,000 times more capable when full autonomy is added for a few hundred dollars more. The competitive landscape is mapped with unusual candor, an "Apple vs. Android" comparison between Eric Schmidt's vertically integrated interceptors and Fourth Law's modular platform approach, alongside two arguments that cut against the mainstream narrative. First, that within 5 to 10 years it may become unethical to use weapons without AI, because non-AI weapons cause more collateral damage, not less. And second, that the real AGI risk isn't Skynet, it's the subtle transfer of power that happens when 100 smarter advisors gradually stop waiting for the President to decide, and nobody notices until the President is no longer the one making decisions. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

The most consequential arms race in the world right now isn't nuclear, it's software. Craig Smith speaks with Alexander Palamarchuk, an engineer in the R&D department of Ukraine's Azov Brigade, calling in from approximately 18 kilometers from the front line in the Pokrovsk region. What emerges is one of the most technically candid accounts available of what drone warfare actually looks like from the inside: how Ukraine went from homemade reconnaissance drones in 2014 to AI-guided systems being developed and tested in real combat today, how the jamming arms race has forced his unit to develop custom frequency systems spanning 100 to 3,000 megahertz in a constant search for clean windows Russia hasn't yet closed, and why the tank - once the defining weapon of land warfare - has been reduced on the modern battlefield to a mobile jamming platform. The most important distinction Alexander draws is one that rarely surfaces in mainstream coverage: AI already exists that can recognize and classify vehicles and people with high accuracy. The unsolved problem isn't recognition, it's discrimination, determining with certainty whether a recognized target is military or civilian. That gap is the only thing standing between today's AI-assisted drones and fully autonomous lethal systems, and Alexander puts the timeline for closing it at approximately two years. The US maintains an official policy of not developing fully autonomous lethal weapons for ethical reasons. On the battlefield 18 kilometers from where Alexander is speaking, that policy is being outpaced in real time, and he is clear that NATO's software advantage positions Western countries to win that race before anyone else gets there. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

You've probably said it before: 'I don't know what came over me.' But what if that's not actually true? In this episode, Pastor Craig Smith unpacks Proverbs 4:23 — 'Above all else, guard your heart, for everything you do flows from it' — and makes the case that the words you say, the choices you make, and the conflict in your relationships all trace back to one place: your heart. The filter you put in place (or don't) shapes your future more than you realize.

It takes a few hours to build an AI agent. It takes six to seven months to get it into production. Manoj Saxena - the executive who commercialized IBM Watson - built TrustWise around one thesis: intelligence without control is not deployable. In this episode, he joins Craig Smith to explain why 95% of enterprise AI agent projects are stalling between pilot and production, and why the answer has nothing to do with the quality of the underlying models. The bottleneck, Saxena argues, is the absence of an entirely new class of infrastructure, something that can evaluate every tool call, every action, every output of every agent at runtime, in milliseconds, against the full stack of alignment requirements that govern what an AI is actually allowed to do inside a real enterprise. TrustWise's AI Control Tower does that across all vendors and agent frameworks simultaneously, operating in live, sidecar, batch, or simulation mode and aligning agent behavior against six layers of requirements - from UN Human Rights frameworks down to individual customer SLA commitments - in 10 to 300 milliseconds per decision. The conversation covers demonstrated results (83% cost reduction, 40% safety improvement), the token consumption paradox that's making agentic AI far more expensive than expected even as token costs fall, and a milestone Saxena compares to the moment data traffic surpassed voice on AT&T's network: last month, for the first time ever, agent traffic on the internet exceeded human traffic. The episode closes with a preview of Genesis agents, TrustWise's next product, designed not just to prevent bad outcomes but to surface beneficial hypotheses by looking 95 moves deep into enterprise data, in domains like fraud detection and revenue leakage, in the way Deep Blue looked 95 moves deep in chess. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

Most humanoid robot companies are still running curated demos in replica environments. Foundation Future Industries is running 150 robots on real automotive production lines in Georgia, and heading to Ukraine this year to deploy on the battlefield. Mike LeBlanc, the co-founder of Foundation Future Industries - currently the only company supplying humanoid robots to the US Department of Defense, with contracts across the Army, Navy, and Air Force, joins Craig Smith to explain why the race is moving faster than almost anyone in the industry believes, and why the companies that are moving cautiously are about to be left behind. His frame is striking: he keeps a framed 1906 New York Times article on his office wall predicting that human flight would take between one million and ten million years. It was published three months before the Wright Brothers flew. He thinks humanoids are in exactly that moment right now. The conversation covers the full operational picture: how Foundation trains robots using video rather than simulation; why the fry-cook robot that couldn't open the bag of fries is a perfect metaphor for everything wrong with how most companies approach go-to-market in this space; why the human form factor isn't a philosophical preference but an empirical fact,  humans are still doing every job in every factory that other robots can't, and that's the proof of concept; and why Mike LeBlanc isn't particularly worried about competing against Boston Dynamics backed by Google DeepMind, because they're still demoing in replica sites while Foundation is deploying on production lines. The episode ends with a bet: LeBlanc tells Craig that in twelve months, he'll be back to report 10,000 robots deployed in the world. Craig says he remains cautious. One of them is going to be right. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

On this episode of The Brad Jensen Show, Brad and cohost Craig Smith put some of the most popular personal development strategies to the test—ranking them from S Tier all the way down to F Tier. From breathwork, therapy, life coaching and journaling to reading, walking, meditation and more, we break down what we believe actually helps you evolve—and what might be overrated. We share our personal experiences with each strategy, where we think they can be incredibly valuable, and why no personal development tool matters much if you're not willing to actually apply what you learn. Some rankings might surprise you. Others might piss you off. If you're serious about becoming a better version of yourself physically, mentally, emotionally and spiritually, this episode is for you.   Key Nutrition Links: Work With a Nutrition Coach - Schedule A Consultation Nutrition Coaching - www.keynutrition.com   Partner Links: Try Thrive Lab Free For One Month - Start Here Order Supplements From Transform - Shop Here Order Supplements From Cured Nutrition - Shop Here Order Supplements From Legion (use code keynutrition for 20% off first order) - Shop Here   Be Featured on the Show: Apply to be a live calller guest on the show - Submit Application Here Submit Q&A Questions to be read live on the show - Submit Here   Free Guides: Eating Out Guide - Get The Guide High-Protein Fast Food Orders - Get the Guide Macro Food Options Guide - Get The Guide Join Us On Patreon - Join Here   Connect with us on Instagram: Host Brad Jensen – @thesoberbodybuilder Next Level Nutrition – @mynextlevelnutrition

The people around you are shaping you—whether you realize it or not. In Proverbs 13:20, we're told to "walk with the wise and become wise." But what does wisdom actually look like, and how do you find people who can help you navigate a complicated life? In this message from our It's Complicated series, Craig Smith explores why the relationships we invest in have such a powerful influence on who we become. You'll discover five biblical qualities to look for in wise people and why you need relationships with people who are before you, beside you, and behind you. This week, consider doing a relationship audit: How are your relationships shaping you? Where do you need wisdom, and what will you do to find it? God often provides the wisdom we need through relationships. Watch the message, reflect on who you're doing life with, and consider your next step toward wise community.

The AI chip market looks monolithic from the outside - NVIDIA dominates, and everyone else is fighting for scraps. But d-Matrix's CEO Sid Sheth argues that the market is quietly splitting into two distinct tiers, and the one that's exploding right now is the one NVIDIA's architecture isn't built for. In this episode, Sid joins Craig Smith to explain the "premium token economy": a new class of AI inference where interactivity is the product, users pay ten times more per million tokens for instant responses, and the memory bandwidth limits of GPU-based systems create a structural ceiling that purpose-built architectures don't have. The conversation is unusually candid about what AI actually looks like at the executive level: Sid describes using Claude as a sounding board for M&A strategy, producing full integration plans in 15 minutes that used to require entire banking advisory teams, and watching AI shift from a tool that echoed his ideas back at him to one that genuinely disagrees, flags what he missed, and pushes back with enough confidence to be useful. He also makes the case that we're at the beginning of a shift from individual agents to what he calls "organizational AI" - teams of agents running entire company functions at a high level of abstraction - and that the infrastructure bet d-Matrix is making positions them directly in the path of that wave. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

The same tools that slowed the U.S. military down in Afghanistan (PowerPoint, Excel, email, and Word) are now slowing American businesses down in the AI race. Drew Cukor spent 30 years as a Marine intelligence officer, helped build Project Maven into a battlefield command and control system, served as Chief Data Officer at JP Morgan, and is now leading AI transformation at TWG AI. In this episode, he joins Craig Smith to make a case that most enterprise AI strategies are fundamentally broken, not because the technology isn't there, but because companies are storing their data in Microsoft file folders where it becomes inaccessible to AI, appointing AI officers who block progress rather than enable it, and mistaking chatbot deployments for transformation. Cukor's prescription is specific: take a company's core workflows apart, how it acquires customers, delivers services, handles back office operations, and rebuild them from scratch with AI embedded throughout, protected inside Palantir Foundry, delivered within 36 months, with the CEO owning the outcome rather than delegating it to a CTO or a made-up AI officer role. The stakes, he argues, are not abstract: China is going AI-native from the start without the legacy infrastructure that's slowing American enterprise, token spend is approaching the cost of a human salary making poorly designed AI workflows as expensive as bad hiring decisions, and the window for acting is closing. The most important video he recommends any business leader watch isn't one where the AI wins, it's the footage of Lee Sedol losing to AlphaGo and realizing mid-game that he no longer understands how the game works. That moment, Cukor says, is coming for every legacy business that doesn't move now. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.  

Hundreds of billions of dollars are flowing into AI data centers right now, and Paolo Ardoino, CEO of Tether - the company behind the world's most widely used stablecoin with 573 million users - thinks that investment is going to age very badly. In this episode, he joins Craig Smith to explain QVAC, Tether's open-source platform for running AI on smartphones, laptops, and edge devices, and to make a case that within five years, 90% of what ordinary people use AI for will run entirely on consumer hardware, without touching a data center. The evidence is already there: Tether's team built a 4-billion-parameter medical AI model that outperforms Google's 27-billion-parameter MedGemma, running on a good smartphone, and a 1.7-billion-parameter version that runs on the average $80 smartphone available in Africa. The deeper argument in this conversation is philosophical as much as technical. Ardoino applies the same disintermediation logic that made sending dollars to the world's unbanked free - zero transaction fees, revenue from treasury bill interest - to AI: "not your AI, not your intelligence." If you don't control how your AI runs and your data never leaves your device, the AI is genuinely yours. If it does, someone else is getting smarter with your information. He also makes a pointed economic argument: the AI companies currently charging $200 for subscriptions that cost $1,000 to $5,000 to deliver are subsidizing growth while private, and when they go public, retail investors will absorb the gap. His prescription isn't to stop building, it's to build differently, toward millions of small interacting models rather than trillion-parameter monoliths, toward devices that think locally rather than systems that route everything through Ireland and back. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI. 

Relationships stir up real fear. Rejection, betrayal, getting hurt again. But the fear itself isn't the enemy, it's what we do with it. This week we'll open Proverbs 19:23 to discover a fear that doesn't shrink your life, it leads to it.

In his 3rd year as a pro, Cam Hart finds himself back with Chris O'Leary & in this episode Craig breaks down why this reunion could make him a key piece of the Chargers 2026 defense. Learn more about your ad choices. Visit megaphone.fm/adchoices

The AI chip market looks monolithic from the outside - NVIDIA dominates, and everyone else is fighting for scraps. But d-Matrix's CEO Sid Sheth argues that the market is quietly splitting into two distinct tiers, and the one that's exploding right now is the one NVIDIA's architecture isn't built for. In this episode, Sid joins Craig Smith to explain the "premium token economy": a new class of AI inference where interactivity is the product, users pay ten times more per million tokens for instant responses, and the memory bandwidth limits of GPU-based systems create a structural ceiling that purpose-built architectures don't have. The conversation is unusually candid about what AI actually looks like at the executive level: Sid describes using Claude as a sounding board for M&A strategy, producing full integration plans in 15 minutes that used to require entire banking advisory teams, and watching AI shift from a tool that echoed his ideas back at him to one that genuinely disagrees, flags what he missed, and pushes back with enough confidence to be useful. He also makes the case that we're at the beginning of a shift from individual agents to what he calls "organizational AI" - teams of agents running entire company functions at a high level of abstraction - and that the infrastructure bet d-Matrix is making positions them directly in the path of that wave. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

Most enterprise IT teams spend the majority of their time fighting the same fires repeatedly. BMC Helix is building the AI system that handles those fires automatically, detecting anomalies, tracing root cause through millions of asset relationships, generating remediation plans, and learning from every incident it resolves. Craig Smith sits down with Erhan Giral, VP of AI Strategy and Innovation at BMC Helix, and Ryan Manning, Chief Product Officer at BMC Helix, to explain how agentic AI is transforming IT service management from a reactive, human-driven process into something closer to a self-healing system, and why doing that at enterprise scale requires a fundamentally different architecture than most AI deployments attempt. The most technically interesting part of this conversation is where BMC Helix is headed: building "gyms", synthetic data center environments where AI agents deliberately break things and learn to fix them overnight, 24 hours a day, generating the bespoke operational training data that text-based foundation models can no longer provide. Erhan describes an architecture of specialized sub-agents, anomaly detection, log analysis, root cause analysis, remediation planning, that work in a hierarchy, passing hypotheses between each other until they converge on an answer, fine-tuned to reason the way a specific enterprise's best IT engineer would rather than the way a generic documentation page reads. For customers, the results are measurable: 25 to 50% cost reduction, fewer recurring outages, and IT staff who can finally go home at a predictable time rather than spending their nights firefighting problems that could have been prevented. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

Most companies think they're transforming with AI. They're not, and the gap between what they believe and what's actually happening on the ground is costing them far more than they realize. In this episode, Craig Smith sits down with Chris Blackburn, founder and CEO of Liatrio, a consultancy that has spent a decade embedding directly inside large enterprises to help them actually change how they work, not just what tools they use. The conversation opens with a striking data point: the average enterprise Blackburn works with operates at just 5 to 6% efficiency, meaning employees spend only three to three-and-a-half hours per week on work that genuinely creates value, compared to Toyota's benchmark of 70%. The core argument is that AI is being applied to the wrong part of the problem: individual productivity gains don't flow through to the bottom line if the organizational system around the individual - the approvals, handoffs, bureaucracy, and middle management layers - stays exactly the same. Blackburn introduces a concept he calls "strangling the enterprise": rather than trying to transform a 5,500-person organization all at once, build a small, low-bureaucracy unit inside it that operates with radical autonomy, proves the model works, and expands outward.  The episode closes with a frank conversation about what real transformation actually costs: roughly half of total compensation spend across the organization, sustained for two years, a number Blackburn describes as "absolutely insane" and one he believes most CFOs aren't yet prepared to confront. Key Topics Covered: ●     Why the average enterprise operates at 5-6% efficiency, and what Toyota's 70% benchmark reveals about the scale of the opportunity AI could unlock ●     The critical distinction between individual productivity gains and system-level improvement, and why saving an hour doesn't automatically improve the bottom line ●     "Strangle the enterprise": how to build a small, autonomous AI-native unit inside a large organization rather than trying to transform the whole thing at once ●     Why most CEOs are dangerously disconnected from the actual work being done, and what McKinsey says about how much time they should be spending on transformation ●     What AI transformation actually costs: roughly half of total compensation spend, sustained over two years, and why most CFOs aren't ready for that number ●     Why AI isn't just changing jobs but changing life - from shorter work weeks to longer health spans - and what the farming analogy reveals about how slowly societies absorb new productivity As enterprises pour money into AI tools while reporting little bottom-line impact, this conversation offers the most operationally honest account available of why that gap exists, and what organizations that actually want to close it need to be willing to do differently. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI. Craig Smith on X: https://x.com/craigss EYE On A.I. on X: https://x.com/EyeOn_AI   Connect with Chris Blackburn LinkedIn: https://www.linkedin.com/in/chrisblackburn 

Nobody has ever built a cell from scratch - assembled entirely from purified molecules on a shelf - that can feed itself, grow, and split into daughter cells through its own genetic activity. Until now. Dr. Kate Adamala, a synthetic biologist and a professor of genetics at the University of Minnesota, whose lab just published a landmark paper on what she calls "spud cells," joins Craig Smith to explain what her team built, why it matters, and what it will take to go from proof of concept to a platform that could eventually replace every molecule civilization currently extracts from petrochemicals. The conversation is as philosophically rich as it is technically specific: Adamala argues that life has no magic ingredient, and that the universe itself is predisposed to give rise to it. She describes the spud cell not as a mic drop but as biology's Sputnik moment: proof that you can escape the gravity well of evolution and build lifelike systems from the ground up. The episode also covers the most alarming biosecurity question in synthetic biology right now: mirror life - cells built from mirror-image molecules that would be invisible to every immune system on earth and potentially capable of replicating uncontrollably in the environment. Adamala led the global call to pause all mirror life research in 2024, and she explains both why that research was so dangerous and why the spud cell doesn't move the field any closer to that red line. Craig also asks the question nobody else thought to ask: could AI now simulate the billions of years of molecular evolution that a primordial sea would need millions of years to complete - running a few trillion iterations computationally to find what emerges? Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

Every company is creating content that nobody reads, nobody watches, and nobody remembers, and the CEO of the AI platform that 90% of Fortune 100 companies use to fix that just explained what comes next. In this episode, Craig Smith sits down with Victor Riparbelli, co-founder and CEO of Synthesia, to discuss the $4 billion company that is now redefining what video communication means for the enterprise. The conversation opens with the founding insight that still drives the company: AI is going to drive the marginal cost of creating video to zero, which changes not just how content is produced but who can produce it and for whom. Victor describes how Synthesia found its first real market not in Hollywood - which rejected the technology as too low quality - but in corporate trainers and educators who were comparing it not to a film but to a 10-page PDF no one was reading. The most forward-looking section of the conversation covers Synthesia's next product: moving video from a one-way broadcast into a two-way interactive conversation, where an AI avatar can conduct a real-time sales demo, simulate a customer for sales training, draw graphs on screen to explain pricing, and score whether the person on the other side actually understood the content. Victor also makes a sharp prediction about where AI entertainment will actually emerge, not in cinemas or on Netflix, but from film students with laptops posting 17-minute short films on Instagram, the same way synthesizers didn't replace pianos but created entirely new genres of music. Key Topics Covered: ●     How Synthesia found its first real market: corporate trainers creating content nobody was reading, who compared AI video not to Hollywood but to a PDF, and found it vastly superior ●     The transition from one-way video broadcast to two-way interactive avatar conversations, and what that means for sales demos, corporate training, and education ●     Why Hollywood will be the last industry to adopt AI video, and why the first AI-generated entertainment will come from broke film students on Instagram, not studios ●     Why AI content won't replace real video, it will become its own genre, the same way synthesizers didn't replace guitars but created electronic music ●     How the CEO uses Claude daily for strategic thinking, playing devil's advocate, and replacing the long memo with a voice note As AI video tools proliferate, this conversation offers one of the clearest frameworks for understanding where the technology is actually headed, not toward Hollywood, but toward transforming the way every company communicates internally and externally, with interactive AI avatars replacing the static website as the primary interface between a business and its customers. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI. Craig Smith on X: https://x.com/craigss EYE On A.I. on X: https://x.com/EyeOn_AI   Connect with Victor Riparbelli LinkedIn: https://uk.linkedin.com/in/victorriparbelli

Companies are spending billions building AI factories, but most of them can't tell you why their AI workloads are failing, whether their GPUs are actually being used, or what their infrastructure is going to cost them when agents start running at scale. Paul Appleby, CEO of Virtana, joins Craig Smith to discuss the findings of their AI Factory Reality Check study, a research report that reveals a striking and underappreciated gap between the pace of AI infrastructure investment and the governance needed to run it safely and efficiently. Six in ten enterprises, the study found, cannot automatically identify root cause when an AI workload fails, a problem that compounds fast once you're running critical services on AI infrastructure at scale. The conversation covers the mechanics of Virtana's observability platform, capturing 20,000 metrics per second across the entire AI stack, correlating them in real time, and increasingly using agentic capabilities to remediate failures automatically, but its most important insights are structural. Appleby makes a sharp observation that cuts through a lot of AI optimism: token costs are falling, but token consumption is exploding, meaning the total cost of running agentic AI systems is still going up even as the per-unit price drops. He also tracks a cultural shift inside enterprises - IT resilience reporting that used to happen annually now happens weekly - as evidence that technology risk has become a board-level conversation in a way it simply wasn't before. The result is a conversation that's less about the promise of AI and more about what it actually takes to make it work at production scale. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

Can God use your brokenness to become your greatest blessing? In this message from our Bad Blood series, Pastor Craig Smith walks through Genesis 32 and Jacob's unforgettable wrestling match with God. It's a story about fear, faith, surrender, and discovering that God doesn't always remove our struggles—sometimes He uses them to transform us. Jacob spent his life fighting for blessings from other people. But after one night wrestling with God, everything changed. He received a new name, a new identity, and a deeper understanding that the greatest blessing isn't what God gives—it's God Himself. If you're walking through disappointment, uncertainty, or a season that feels broken, this message offers hope that God may be doing more than you can see. In this message, you'll discover: Why fear isn't the opposite of faith How to fight fear with God's promises Why God redirected Jacob's strength instead of removing it What it means to wrestle with God How brokenness can become the pathway to blessing No matter where you are today, God hasn't let go of you.

AI is moving faster than enterprise security systems were designed to handle. In this episode of Eye on A.I., Craig Smith speaks with Bradon Rogers, Chief Customer Officer at Island, Island about how companies are struggling to govern the rise of AI agents, browser-based workflows, and unsanctioned AI tools inside the workplace. The conversation explores why traditional "block-and-control" security models are breaking down and how a new approach, embedding policy directly into the browser and user workflows, may offer a path forward. It also dives into emerging risks like prompt injection and autonomous agent behavior, and why enterprises are increasingly becoming multi-AI environments by default. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

Most AI is built for people sitting at desks. Kriti Sharma builds it for the people who work in refineries, aircraft hangars, and utility networks responding to wildfires at 4 a.m. and she spends weekends on-site with them to make sure what she builds actually holds up. In this episode, Kriti joins Craig Smith to discuss what industrial AI really looks like when failure genuinely isn't an option, and why the gap between an impressive AI pilot and a production-grade AI system is so much wider in the physical world than most technology companies appreciate. The conversation is grounded in three specific products from Nexus Black, the elite AI unit Kriti leads inside IFS. The first is Resolve, a predictive maintenance platform built in close collaboration with William Grant's - the distillery behind Glenfiddich and Hendricks Gin - that is projected to save £8.4 million per year at a single factory by reading complex engineering schematics, identifying failure patterns before they occur, and giving frontline technicians step-by-step guidance on their phones without requiring them to remove a safety glove to type. The second is an airworthiness compliance tool for commercial airlines that automates a process currently consuming weeks of human engineering time, where a single mistake carries regulatory fines of up to $20 million and grounding a fleet costs $140 million per day. The third is a disaster response coordination system for utilities, built in partnership with Anthropic, designed to help field crews coordinate during wildfires, hurricanes, and grid outages in ways that, as a California disaster responder told Kriti directly after the most recent wildfire season, will get communities back online and hospitals lit up faster than ever before. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

Pat welcomes Craig Smith and Megan Stemm of the "SamePageCast" back to the show to discuss the 10th Anniversary release of The Monkees "Good Times!" album. We cover the Deluxe Edition with all the bonus tracks!! See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What is an AI agent, really? Strip away the hype, and it's a model with access - to tools, APIs, databases, email, anything that lets it take real action instead of just generating text. That access is exactly where the risk lives, and Devvret Rishi, GM of AI at Rubrik, and former co-founder & CEO of Predibase, joins Craig Smith with a string of real-world incidents that make the case concrete: AWS reporting four major outages in 90 days after deploying coding agents, a Meta-related agent that deleted someone's emails while they were actively asking it to stop, and Rubrik's own internal pilot catching incidents that, without governance in place, would have gone unnoticed. The conversation lays out the impossible choice most enterprises are facing right now - block AI agents and forfeit the ROI boards are demanding, or grant access and hope nothing breaks - and walks through how Rubrik's approach uses small, fine-tuned AI models to enforce plain-English security policies on every single agent action in real time. It closes on one of the most underexamined risks ahead: as agents increasingly talk to other agents to get work done, a layer of activity is forming that no human is watching, and the question of who's accountable when something goes wrong in that layer is only getting more urgent. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

Have you ever felt stuck, in a job, a relationship, or a pattern you just can't shake? This weekend, we're opening Genesis 31 to learn what it means to leave what limits you and step into what God has next.

It costs up to $2 billion and fifteen years to develop a drug, and big pharma still fails half the time at the final stage. BullFrog AI founder, Chairman, and CEO Vin Singh joins Craig Smith with a clear diagnosis of why: the industry keeps picking the wrong drug target from the beginning, and no amount of downstream optimization fixes a fundamentally wrong starting point. Built on AI technology originally developed at Johns Hopkins' Applied Physics Lab, BullFrog has assembled a three-stage platform that cleans messy clinical data, runs causal analysis to map disease pathways, and then ranks competing drug targets using a competitive framework that removes the subjectivity most pharmaceutical decision-making still relies on. The most striking results in this conversation come from two case studies: work with the Lieber Institute for Brain Development - analyzing thousands of post-mortem brains - that led to the identification of potential driver genes for depression, bipolar disorder, and schizophrenia in months from data that researchers had spent fifteen years studying, and a pancreatic cancer trial where BullFrog's platform identified a patient subgroup with survival rates three times higher than the study average. Vin also delivers a candid assessment of the broader AI-pharma landscape: more than 90% of AI deals in the space are missing their milestones, most companies are wrapping open-source tools rather than building genuine technology, and the shakeout between players and pretenders is already well underway. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

After two years of AI pilots, enterprises are finally diagnosing what went wrong, and the answer keeps coming back to data. Alberto Pan, CTO of Denodo, joins Craig Smith to walk through the findings of the company's AI Trust Gap Report: a survey of 850 enterprise data leaders that reveals the dominant failure modes of enterprise AI agents are almost never the model's fault. They're caused by stale data, missing context, and inconsistent semantics across the hundreds of data sources agents need to access to do real work. Pan explains why traditional data warehouse and lake house architectures - built for analytics, not real-time decision-making - are creating an invisible ceiling on AI performance, and how Denodo's logical data management approach lets agents query data where it lives without centralizing it first, while enforcing consistent governance across every source in one place. The conversation also identifies two specific traps most organizations fall into as they try to scale AI - over-centralizing data into a single system, or building custom ad hoc data layers for every agent - and why both approaches collapse in a multi-agent world where agents need to cooperate, share context, and work from a common semantic foundation. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI. 

Sometimes the greatest blessing doesn't come from escaping a difficult situation—it comes from changing how you respond to it. In this episode of Continuing the Conversation, Craig Smith and Colin McFarland dive deeper into one of the most unusual stories in Genesis and unpack the sermon, "The Fastest Road to Blessing." Craig shares what it was like preparing one of the hardest passages he's ever preached, why Bible translation often involves interpretation, and how a fresh understanding of Jacob and Laban completely changed the message. Along the way, they explore practical questions we all wrestle with: How do you become a blessing in difficult relationships? When should you stay in a hard situation—and when is it time to leave? Why do we keep fighting for control instead of trusting God's faithfulness? How can wise community help us hear God's direction more clearly? Whether you're navigating conflict at work, tension in your family, or simply trying to trust God with what's next, this conversation offers practical wisdom you can apply today. If Sunday's message challenged you, this episode takes the conversation even further.

Discover entrepreneurship, innovation, business growth, scaling, and intellectual property strategies from successful founders and industry leaders. Richard Gearhart and Elizabeth Gearhart, co-hosts of the Passage to Profit Show have this discussion with Professional Speaker and Multimedia Retail Consultant Craig Smith, Chris Ryan from Chris Ryan Fitness and Jeff Sibel from Wealth Agent.  What makes people buy in an age of AI, algorithms, and endless marketing automation? Craig Smith, professional speaker, brand messaging expert, and veteran QVC host who has helped sell more than $1 billion in products across 4,500 live television broadcasts, reveals why storytelling and human connection still outperform technology. Craig shares the simple framework behind memorable brands—being clear, real, and repeatable—and explains how businesses can build loyal communities instead of chasing one-time sales. He also shares lessons from a major product launch failure, why authentic communication matters more than ever, and how entrepreneurs can create messages that customers actually remember.Read more at: https://www.craigsmithspeaks.com/ What does it really take to build lifelong health and fitness habits? Chris Ryan, Founder of Chris Ryan Fitness and one of America's Top 10 Trainers, shares why consistency matters more than motivation, how beginners can successfully start working out from home, and the mindset shifts that lead to lasting results. Chris discusses his journey from fitness modeling and national media appearances to becoming a founding trainer for Mirror, the fitness platform later acquired by Lululemon for $500 million. He also reveals practical advice on exercise, nutrition, habit formation, weight loss, and creating a supportive fitness community that helps people become healthier, stronger, and more confident at any age. Whether you're an entrepreneur, busy professional, parent, or someone looking to improve your health, this conversation delivers actionable strategies for building a better life through fitness. Read more at: http://chrisryanfitness.com/ What does it really take to retire comfortably without worrying about running out of money? Jeff Seibel, Founder of WealthAgent.com and creator of the Wealth Agent Institute, shares why he believes traditional retirement planning often falls short and how income-producing real estate can help create lasting financial security. Jeff discusses the importance of starting early, investing consistently, building retirement income instead of simply accumulating savings, and using real estate as a tool for long-term wealth creation. He also explains strategies involving rental properties, self-directed IRAs, 1031 exchanges, and retirement income planning that entrepreneurs, real estate professionals, and everyday investors can use to build a more predictable financial future. Read more at: https://www.wealthagent.com/ Whether you're a seasoned entrepreneur, startup founder, inventor, or small business owner, the Passage to Profit Show is a leading podcast for insights on entrepreneurship, innovation, intellectual property and business strategy. Hosted by Richard Gearhart and Elizabeth Gearhart, the show features industry leaders, investors, and founders who share real-world lessons on scaling companies, protecting ideas, building generational wealth, and navigating today's evolving business landscape. Visit https://passagetoprofitshow.com/ for the latest episodes, expert interviews, and resources designed to help you grow, protect, and profit from your ideas. Chapters (00:00:00) - What separates entrepreneurs who succeed and those who stall(00:00:17) - The San Antonio Spurs Throw Down the Knicks Fan(00:01:41) - Are Commencement Speakers Getting Booed?(00:02:59) - Dunkin Donuts Barbie Donut(00:03:54) - What's The Weirdest Food Trend?(00:04:37) - Caviar On Everything(00:06:18) - Fooled by Money(00:07:17) - The One Decision That Changed My Career(00:08:36) - What Decision Changed the Trajectory of Your Business?(00:12:56) - Craig Smith: Human Connection Is the Ultimate Competitive Advantage(00:17:28) - In the Elevator With QVC's Amy Holmes(00:18:24) - On Training QVC Hosts(00:22:42) - Car Shield(00:23:49) - Better Health Insurance for You(00:24:49) - Passage to Profit: Your Brand Message(00:28:34) - Craig Smith: Brand Messages that weren't Clear(00:33:12) - Craig Smith on ChatGPT(00:33:39) - AI Use Cases(00:34:58) - How to Use AI in Real Estate(00:38:56) - Real AI Use Cases Business Owners Roundtable(00:39:25) - Debt Relief Hotline(00:41:48) - The World Cup: What to Do About Intellectual Property(00:47:22) - Chris Ryan Fitness(00:50:38) - What do you tell people who hate Working Out?(00:53:01) - Trainers at Lululemon(00:54:21) - Chris Farrell on Contending With the Insane(00:57:03) - How to Eat Healthly While Exercising(00:59:14) - Chris Ryan on Helping People Through the Pain of Working Out(01:01:49) - 3 Foods That Are Destroying People's Health(01:04:24) - How to Retire Comfortable?(01:06:24) - Should Real Estate Agents Advise People to Buy Real Estate?(01:11:49) - Retirement Wealth: Real Estate vs. Stocks(01:13:52) - How to Plan for Retirement (Entreprene(01:15:28) - How to Pass Your 401k and Real Estate on to Your Agents(01:18:55) - Craig Smith: Secrets of the Entrepreneurial Mind(01:19:39) - Chris Ryan on How to Keep Your Success Secret(01:20:37) - How to Get Out There in the Real Estate World(01:21:20) - Be Prepared to Change Your Job

What if consciousness isn't a byproduct of complex brains, but a fundamental feature of reality itself, present, in some rudimentary form, all the way down to electrons and quarks? Philip Goff, a philosopher at Durham University and one of panpsychism's leading contemporary advocates, joins Craig Smith to make that case, arguing that modern science's founding move - separating the mathematical world physics studies from the subjective experience we know only from the inside - solved one problem while quietly creating another we've never resolved. The conversation inevitably turns to AI: could a large language model ever be conscious? Goff's answer is a careful, well-reasoned no, not because he thinks consciousness is magical, but because his framework treats it as something closer to the physical substance of reality than an abstract computation, making him skeptical that anything resembling current AI architecture could cross that threshold. Along the way, he tackles one of the genuine open mysteries in his field: if natural selection only cares about behavior, why did evolution bother making us conscious at all, and what would it even mean to find experimental evidence for an answer. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.v

What if the fastest road to blessing isn't about grabbing more, it's about giving more? This week, we dig into Genesis 30 and discover why the people God blesses most are the ones most focused on being a blessing to others.

In this episode, Craig Smith and special guest co-host Grant Dziak join me for a rapid-fire round of overrated and underrated topics across fitness, nutrition, supplementation, personal development, business, and more. From popular diet trends and training methods to mindset strategies, recovery tools, and everyday habits, we break down what we think deserves more attention—and what might be getting a little too much hype. This one is fast-paced, opinionated, and a lot of fun. Grant brought a unique perspective to the conversation, which made for some great discussion, debate, and laughs along the way. Whether you're looking to improve your health, grow your business, or simply challenge some of your current beliefs, this episode will give you plenty to think about.   Next Level Links: Work With a Nutrition Coach - Schedule A Consultation Nutrition Coaching - www.becomenextlevel.com   Partner Links: Try Thrive Lab Free For One Month - Start Here Order Supplements From Transform - Shop Here Order Supplements From Cured Nutrition - Shop Here Order Supplements From Legion (use code keynutrition for 20% off first order) - Shop Here   Be Featured on the Show: Apply to be a live calller guest on the show - Submit Application Here Submit Q&A Questions to be read live on the show - Submit Here   Free Guides: Eating Out Guide - Get The Guide High-Protein Fast Food Orders - Get the Guide Macro Food Options Guide - Get The Guide Join Us On Patreon - Join Here   Connect with us on Instagram: Host Brad Jensen – @thesoberbodybuilder Co-Host Craig Smith - @greatestdaymindset Guest Grant Dziak - @grantdziak Next Level Nutrition – @mynextlevelnutrition

Real love doesn't sit on the sidelines and hope things work out — it steps in, speaks up, and leads. This Father's Day message from Genesis 29-30 is a challenge to every husband and father who's been coasting.

Eighty percent of lung cancer cases are diagnosed too late, not because the signals aren't there, but because nobody was looking at the right moment. Prashant Warier, co-founder and CEO of Qure.ai, joins Craig Smith to explain how his company is changing that using a tool most people already encounter: the routine chest X-ray. Cure's Lung Nodule Malignancy Risk Score - validated in the CREATE study - analyzes X-rays people get for unrelated reasons, identifies high-risk nodules, and flags which patients need follow-up CT scans. The result is a detection rate of 54 positive patients out of 100 flagged as high-risk, compared to the 2 out of 100 found by standard CT screening programs. That's not a marginal improvement. That's a different category of outcome. The conversation covers the full landscape of where AI diagnostics actually stands today: the 15 million TB screening X-rays that Cure reads autonomously every year across 70 countries with no radiologist in the loop, because in many of those countries there are only two radiologists for the entire nation; the 26 FDA clearances and 200-plus published studies that underpin the company's clinical credibility; and the regulatory barriers that currently prevent patients from uploading their own scans and getting an AI read directly. Warier also makes his sharpest prediction: within 5 to 10 years, primary care will be AI-first, the first conversation you have when something feels wrong won't be with a doctor, it will be with an AI. Based on what Cure is already doing at scale today, that timeline is harder to dismiss than it might sound. Subscribe to Eye on A.I. for weekly conversations with the people building and deploying the future of AI.

In this episode of The Brad Jensen Show, I'm joined by Craig Smith and Grant Dziak for a free-flowing conversation that took us in a direction I didn't expect—but one that I think will resonate with a lot of people. We dive deep into the topic of identity and the role labels play in our lives. We talk about how some labels can be incredibly damaging, keeping us stuck in patterns and beliefs that no longer serve us, while others can be empowering and help us become the person we want to be. We also discuss some of the biggest mistakes people make when trying to figure out who they are. Too often, we attach our identity to what we do, our accomplishments, our failures, or what other people think of us. But true growth happens when we start understanding who we are at our core—not just what we do. This conversation goes beyond fitness and gets into personal development, self-awareness, and the process of building an identity that supports the life you want to create. If you've ever felt limited by a label, struggled with self-doubt, or wondered how to become the person you're capable of being, I think you'll get a lot out of this episode.   Next Level Links: Work With a Nutrition Coach - Schedule A Consultation Nutrition Coaching - www.becomenextlevel.com   Partner Links: Try Thrive Lab Free For One Month - Start Here Order Supplements From Transform - Shop Here Order Supplements From Cured Nutrition - Shop Here Order Supplements From Legion (use code keynutrition for 20% off first order) - Shop Here   Be Featured on the Show: Apply to be a live calller guest on the show - Submit Application Here Submit Q&A Questions to be read live on the show - Submit Here   Free Guides: Eating Out Guide - Get The Guide High-Protein Fast Food Orders - Get the Guide Macro Food Options Guide - Get The Guide Join Us On Patreon - Join Here   Connect with us on Instagram: Host Brad Jensen – @thesoberbodybuilder Co-Host Craig Smith - @greatestdaymindset Guest Grant Dziak - @grantdziak Next Level Nutrition – @mynextlevelnutrition

In this episode of The Brad Jensen Show, Craig Smith and I sit down for a candid conversation about life, growth, and the importance of taking risks. We discuss Craig's decision to step into a new career opportunity, the fear and uncertainty that come with major life changes, and why so many people never give themselves the chance to see what's possible because they're unwilling to bet on themselves. This wasn't a structured episode with one main topic. Just two friends talking shop, sharing lessons, and exploring what it means to pursue growth even when it's uncomfortable. If you've ever felt stuck, scared to make a move, or needed a reminder to trust yourself, you'll enjoy this conversation.   Next Level Links: Work With a Nutrition Coach - Schedule A Consultation Nutrition Coaching - www.becomenextlevel.com   Partner Links: Try Thrive Lab Free For One Month - Start Here Order Supplements From Transform - Shop Here Order Supplements From Cured Nutrition - Shop Here Order Supplements From Legion (use code keynutrition for 20% off first order) - Shop Here   Be Featured on the Show: Apply to be a live calller guest on the show - Submit Application Here Submit Q&A Questions to be read live on the show - Submit Here   Free Guides: Eating Out Guide - Get The Guide High-Protein Fast Food Orders - Get the Guide Macro Food Options Guide - Get The Guide Join Us On Patreon - Join Here   Connect with us on Instagram: Host Brad Jensen – @thesoberbodybuilder Co-Host Craig Smith - @greatestdaymindset Next Level Nutrition – @mynextlevelnutrition

Economists and politicians have turned him into a mascot for free-market ideology. Some on the left say the right has badly misread him. In this updated replay of a 2022 episode, we hold a very Smithy tug of war.   SOURCES: Eamonn Butler, co-founder and director of the Adam Smith Institute. Glory Liu, a political scientist and Adam Smith scholar at Georgetown University. Mariana Mazzucato, professor in the economics of innovation and public value at University College London. Dennis Rasmussen, a professor of political science at Syracuse University. Russ Roberts, president of Shalem College in in Jerusalem; host of the EconTalk podcast; and author. Craig Smith, Adam Smith Senior Lecturer in the Scottish Enlightenment at the University of Glasgow.   RESOURCES: Adam Smith's America: How a Scottish Philosopher Became an Icon of American Capitalism, by Gloria Liu (2022). "Henry and Adam: A Deep and Special Friendship," by Benny Higgins (Adam Smith Panmure House Perspective, 2020). "Rescuing Adam Smith From Myth and Misrepresentation," (The Economist, 2018). The Infidel and the Professor: David Hume, Adam Smith, and the Friendship That Shaped Modern Thought, by Dennis C. Rasmussen (2017). How Adam Smith Can Change Your Life: An Unexpected Guide to Human Nature and Happiness, by Russ Roberts (2014). "British Privatization — Taking Capitalism to the People," by John Moore (Harvard Business Review, 1992). Free to Choose: A Personal Statement, by Milton Friedman and Rose Friedman (1990). The Essential Adam Smith, edited by Robert L. Heilbroner (1986). An Inquiry into the Nature and Causes of the Wealth of Nations, by Adam Smith (1776). The Theory of Moral Sentiments, by Adam Smith (1759).   EXTRAS: "In Search of the Real Adam Smith," series by Freakonomics Radio (2022). Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.