Podcasts about measuring

This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.volts.wtf/subscribeDisinformation about clean energy is showing up everywhere — online after every blackout, at county commission meetings about siting new projects, in regulatory dockets stuffed with fake comments. GoodPower, which combines a C3 education arm with a C4 advocacy arm, is trying to fight back with a network of thousands of content creators, rapid-response campaigns around storms and grid failures, and an AI tool that detects manufactured public comments. I talk with CEO Leah Qusba about what they've tried, what they've measured, and what actually works.Chapters:00:00 – Introduction03:06 – What the disinformation claims, and who spreads it05:57 – From Action for the Climate Emergency to GoodPower08:38 – Building a creator network in non-political verticals14:17 – Competing with talk radio and Fox News18:26 – Winter Storm Fern and the rapid response system23:26 – Measuring whether a deployment actually worked27:24 – Pre-bunking and the 80-county experiment33:18 – Getting people off the couch and into the room38:10 – AI agents and where human judgment sits42:05 – Keeping the C3 and the C4 distinct47:13 – Battery fires, Moss Landing, and talking to fire chiefs50:54 – TrueVoice and manufactured public comment56:13 – Whether AI will overwhelm the comment process58:11 – The best messages that actually land1:04:22 – Super PACs, budgets, and what comes next

Hi there, welcome to episode 822 of Recruiting Future with me, Matt Alder. Employer branding teams are still under sustained pressure. Budgets have shrunk and headcount has been reduced across many organizations, even when the hiring the business needs has become more specific and more critical. Despite all of the cuts, some employer brand leaders are still winning investment and influence. What sets them apart is how closely their work connects to what the business is trying to achieve and how effectively they communicate its impact. So what does it take to make employer branding matter to the business? My guest this week is Stephen Quinn, CEO of Atomic, an insight-led agency working with employer brand leaders at some of the world's largest organizations. In our conversation, Stephen shares what the most effective employer brand leaders do differently, which metrics carry weight with the business, and how to plan employer branding for the long term. In the interview, we discuss: Trends and challenges in Employer Branding What separates the most successful employer brand leaders Attaching Employer Branding to the critical needs of the employer Where should employer branding sit in the organization? Building relationships across the business Measuring and reporting on impact and ROI via the right metrics Long-term strategy thinking rather than short-term campaign thinking What does the future of Employer Branding look like Follow this podcast on Apple Podcasts. Follow this podcast on Spotify.

In this episode of the Pain and Performance Podcast, Dr. Derrick Hines sits down with Dr. Jerry Mixon to explore the science of longevity and what it really takes to extend not just lifespan, but healthspan.They discuss the role of hormones, exercise, mitochondrial health, and biological age testing, along with emerging research on senescent cells and the future of anti-aging medicine. The conversation also covers practical strategies for maintaining muscle, improving metabolic health, and building habits that support healthy aging over the long term.In This Episode-- The difference between lifespan and healthspan-- How hormones influence healthy aging-- Why muscle and exercise are essential for longevity-- Measuring biological age and key health markers-- The science behind senescent cells and aging-- Emerging therapies shaping the future of longevity medicineLinks: DERRICKInstagram:https://www.instagram.com/derrickbhines/Youtube:https://www.youtube.com/@DrDerrickJERRYWebsite: https://www.longevitymedicalclinic.com/Facebook: https://www.facebook.com/LongevityMedicalClinic/

Jim McDonald hosts this Sponsor Spotlight episode of Identity at the Center, made possible with support from Twine Security. Jim is joined by Benny Porat, co-founder and CEO of Twine Security and previously co-founder and CTO of Claroty. Benny shares how his cybersecurity background led him into identity and explains the concept of the "execution gap," the space where identity teams are accountable for outcomes but lack the full business context to act on their own. The conversation explores Twine Security's AI digital employee, Alex, and how it differs from traditional automation and RPA, where AI-driven execution fits best within identity operations today, and the balance between the parts of a task AI can handle easily versus the harder remaining work. Benny and Jim also dig into governance and trust, including why least privilege matters even more for AI agents and non-human identities, how organizations typically start with read-only access before expanding permissions, and how access reviews and recertification could evolve as AI takes on more of the process. They close with reflections on measuring success, how the identity practitioner's role changes as more execution shifts to AI, and a lighter round on what a personal AI digital employee might look like.Connect with Benny: https://www.linkedin.com/in/bennyporat/Learn more about Twine Security: https://www.twinesecurity.com/Connect with us on LinkedIn:Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/Visit the show on the web at idacpodcast.com00:00 - Introduction and welcoming Benny Porat, co-founder and CEO of Twine Security00:52 - How Benny found his way into identity and access management02:21 - The origin of the name Twine03:28 - Defining the IAM execution gap05:53 - AI digital employees versus RPA and automation08:07 - Where AI digital employees are best suited today09:45 - Why AI is strong at eighty percent and what makes the rest difficult14:45 - Where a digital employee like Alex fits within identity operations18:43 - Trust, governance, and giving AI agents the right permissions21:42 - Applying least privilege to AI agents and non-human identities25:19 - How organizations start using Alex, from read-only to full execution30:27 - Rethinking the role of access reviews with AI involved33:14 - Measuring efficiency gains and revocation rate improvements36:00 - Addressing concerns about AI replacing IAM practitioners39:12 - How customers define and measure success44:15 - How the practitioner's day-to-day role changes with AI agents47:12 - Closing thoughts and where to learn more47:37 - Lighter note: imagining a personal AI digital employeeKeywords: IDAC, Identity at the Center, Jeff Steadman, Jim McDonald, Benny Porat, Twine Security, Sponsor Spotlight, AI digital employee, Alex, identity and access management, IAM, execution gap, least privilege, access reviews, recertification, agentic AI, non-human identity, NHI, Claroty, IGA, PAM, governance, human in the loop

It's easy to feel like you don't have enough; it's the message we constantly receive through media and advertisements. It's the message that once you have this thing, or make this much, then you will be happy... all of your dreams will come true! The truth is actually the opposite as this kind of grasping for more is associated with mood problems, anxiety, and stress.  We'll dig into this trap of "having enough" and how we can break free from it and embrace our enoughness.  About: The Joy Lab Podcast is an Ambie-nominated podcast that blends science and soul to help you cope better with stress, anxiety, and depression. It's hosted by integrative psychiatrist Dr. Henry Emmons and holistic mental health researcher Dr. Aimee Prasek. The podcast is best paired with the Joy Lab App.   Bonus: spread some joy and keep this podcast ad-free by donating (Joy Lab is powered by the nonprofit Pathways North and your donations are tax-deductible).   Listen & follow the Joy Lab Podcast on your favorite listening app: Spotify | Apple | YouTube   Full transcript   Sources and Notes for Our Element of Enoughness: Related Joy Lab Episodes:   Ep. 236: The Power of Good Enough Parenting & Calling Out Our Moms Our Grief series starts here: Ep. 252: The Grief of What Should Have Been & The Loss of Not Being Truly Seen (Grief Recovery & Healing Series part 5) More on Savoring:   Ep. 44: Savoring Your Past Without Ruminating or Romanticizing Ep. 45: Mindfulness, Savoring the Present Moment, & Overcoming FOBO (it's kinda like FOMO) Ep. 46: Savoring the Future: A Refreshing Skill to Boost Mood & Help Navigate Depression Ep. 47: Mindsets & Mental Health: How Thoughts About Yourself & The World Impact Your Wellbeing Ep. 197: How Savoring Shifts Your Mood, Mindset, & Behaviors Ep. 198: Unfractured Focus: Mastering the Art of Savoring in a Distracted World Our Authenticity series starts here: Ep. 216: Unmasking Your True Self: Exploring Authenticity and Awe Ep. 268: Humility Can Be Stressful... But Worth It for Mental Health Ep. 273: How to Build Confidence (When You Don't Feel Confident Yet)  Bellam, S., Curran, T., Hill, A. P., & Stoeber, J. (2025). Perfectionism and work performance: A meta-analysis. https://doi.org/10.1111/joop.12570 Carver, C. S., Lawrence, J. W., & Scheier, M. F. (1999). Self-discrepancies and affect: Incorporating the role of feared selves. https://doi.org/10.1177/0146167299025007002  Crocker, J., & Park, L. E. (2004). The costly pursuit of self-esteem. https://doi.org/10.1037/0033-2909.131.3.392  Crocker, J., & Park, L. E. (2004). Reaping the benefits of pursuing self-esteem without the costs? Reply to Schmuck and Sheldon (2004), Sheldon et al. (2004), Pyszczynski et al. (2004), and Kernis (2004). https://doi.org/10.1037/0033-2909.130.3.430 Crocker, J., Karpinski, A., Quinn, D. M., & Chase, S. K. (2003). When grades determine self-worth: Consequences of contingent self-worth for male and female engineering and psychology majors. https://doi.org/10.1037/0022-3514.85.3.507 Crocker, J., & Wolfe, C. T. (2001). Contingencies of self-worth. https://doi.org/10.1037/0033-295X.108.3.593 Deci, E. L., & Ryan, R. M. (2004). Avoiding death or engaging life as accounts of meaning and culture: Comment on Pyszczynski et al. (2004). https://doi.org/10.1037/0033-2909.130.3.473 Freudenberger, H. J. (1974). Staff burn-out. Journal of Social Issues, 30(1), 159–165. https://doi.org/10.1111/j.1540-4560.1974.tb00706.x  Harari, D., Swider, B. W., Bujold Steed, L., & Breidenthal, A. P. (2018). Is perfect good? A meta-analysis of perfectionism in the workplace. https://doi.org/10.1037/apl0000324 Hewitt, P. L., & Flett, G. L. (1991). Perfectionism in the self and social contexts: Conceptualization, assessment, and association with psychopathology. https://doi.org/10.1037/0022-3514.60.3.456 Higgins, E. T. (1987). Self-discrepancy: A theory relating self and affect. https://doi.org/10.1037/0033-295X.94.3.319 Joseph, S., & Linley, P. A. (2005). Positive adjustment to threatening events: An organismic valuing theory of growth through adversity. https://doi.org/10.1037/1089-2680.9.3.262 Kernis, M. H. (2005). Measuring self-esteem in context: The importance of stability of self-esteem in psychological functioning. https://doi.org/10.1111/j.1467-6494.2005.00359.x Kirkpatrick, L. A., & Ellis, B. J. (2001). An evolutionary-psychological approach to self-esteem: Multiple domains and multiple functions. In G. J. O. Fletcher & M. S. Clark (Eds.), Blackwell handbook of social psychology: Interpersonal processes (pp. 411–436). Blackwell. Leary, M. R. (2000). Sociometer theory and the pursuit of relational value: Getting to the root of self-esteem. https://doi.org/10.1080/14792772043000045  Maslach, C. (1981). The measurement of experienced burnout. https://doi.org/10.1002/job.4030020205   Park, L. E., & Crocker, J. (2005). Attachment styles and contingencies of self-worth. https://doi.org/10.1177/0146167205277030 Pyszczynski, T., Greenberg, J., Solomon, S., Arndt, J., & Schimel, J. (2004). Why do people need self-esteem? https://doi.org/10.1037/0033-2909.130.3.435 Schaufeli, W. B., Leiter, M. P., & Maslach, C. (2009). Burnout: 35 years of research and practice. https://doi.org/10.1108/13620430910966406  Lynn Twist's Book: The Soul of Money   Questions this episode was made for: Q: Why do I keep thinking that getting more money, success, or recognition will finally make me feel okay? And why doesn't it ever work? A: This episode explains the psychology of contingent self-worth and the neuroscience of hedonic adaptation: when you stake your value on external things, the bar always moves, the reward always fades faster than expected, and there is never enough; understanding the mechanism is the first step to stepping off the treadmill.   Q: Someone I love seems to measure their worth entirely by what they have or what they've achieved — how do I understand that, and is there a way out? A: Henry's story of his patient and Aimee's story of her father both illuminate how the having-more strategy develops and why it becomes impervious to reason; this episode also names the false-self as the construction that drives the endless proving, and points to the inner compass that is always there underneath it. The good news is that there is a way out and this series explores those paths to enoughness.    Key moments: [00:00] Welcome — Enoughness part 2: having enough [00:30] Having enough isn't really about the amount — it's the belief that acquiring this much will make the bad feelings go away  [01:00] Conditional acceptance and love: growing up having to produce, perform, or prove before being given love — the untended grief that drives the proving [01:30] Francis Weller: what happens when we aren't born into a village with a full, joyous welcome of our gifts  [02:00] Henry's story: a venture capital executive, clearly depressed, sent to therapy against his will  [04:00] CBT couldn't break through — his thinking was so distorted he was impervious to reason; he clung to the belief that he added no value whatsoever  [05:00] The lesson Henry learned viscerally: it is futile to try to fill a hole in self-worth by accumulating money or anything else we value  [05:30] If you believe external achievement proves your worth, there will never, ever be enough — and what a drain on one's energy and vitality  [06:00] Aimee's father: grew up needing to grasp for more, family lived week to week — so grasping for more was genuinely what they needed to survive  [06:30] AImee Prasek "Money can absolutely buy relief from misery, but it doesn't buy happiness or joy with the same predictability."  [07:00] The neuroscience: dopamine tracks more with anticipation of getting the thing than with actually getting it — the reward at arrival is inconsistent and can be short-lived  [07:30] Most things can be taken away — a shaky foundation if you've built your identity or worth on them  [08:00] Aimee's father attached his worth to signs of success — culture pushes this onto us too  [09:00] His business fell apart and everything came crashing down — Aimee believes his contingent self-worth collapsed with it [09:30] Watching strangers take back the repossessed items — cars, boats, pieces of him; everything he'd staked his value on, gone in a day  [10:30] Henry: a prolonged grieving right there — it's the universal human experience [11:30] Hedonic adaptation, or the hedonic treadmill: big life events shift our mood temporarily, then we return to baseline  [12:30] Like Sisyphus: pushing the same rock up the hill, same outcome every time — all that effort does not create lasting change  [13:30] Hedonic wellbeing (drive toward pleasure, avoidance of pain) vs. eudaimonic wellbeing (meaning, authenticity, self-acceptance, personal growth) — it's not one or the other; you don't have to give up pleasure  [14:30] Socially-prescribed perfectionism added to the mix: contingencies of self-worth + hedonic treadmill + belief that others demand your perfection = perfect storm  [15:00] The belief that you can and should live without pain, full of only pleasure, proving it all the time — and it is just not true  [15:30] Henry: where the false-self gets born — when we learn that our worth is conditional on performance, appearance, or achievement, we hide the real self  [16:00] We construct a version of ourselves we believe will be acceptable, lovable, worthy of belonging — and it is exhausting to maintain  [16:30] Constant vigilance: am I saying the right thing, do I look right, am I achieving enough? Always the fear of being exposed as a fraud  [17:00] The paradox: the more we invest in the false-self, the less we're actually being loved for who we are — and deep down, we know this [17:30] Donald Winnicott's work on the false-self — link in show notes; also: the Authenticity series and the episode on feeling enough as a mom  [18:00] The false-self is like holding up a complex lie — cognitively and physically exhausting  [18:30] The inner compass is always there underneath the false-self — that knowing of our worth is never lost; it's never too late to come back to it  [19:00] Head to your Experiment in the Joy Lab Program to work on having enough; head to JoyLab.coach to access the Experiments [19:00] Closing wisdom from Lynne Twist: "Sufficiency isn't an amount at all. It is an experience, a context we generate, a declaration, a knowing that there is enough, and that we are enough."   If you enjoyed this episode, please rate and review us wherever you listen to your favorite podcasts!    Please remember that this content is for informational and educational purposes only. It is not intended to provide medical advice and is not a replacement for advice and treatment from a medical professional. Please consult your doctor or other qualified health professional before beginning any diet change, supplement, or lifestyle program. Please see our terms for more information. If you or someone you know is struggling or in crisis, help is available. Call the NAMI HelpLine: 1-800-950-6264 available Monday through Friday, 10 a.m. – 10 p.m., ET. OR text "HelpLine" to 62640 or email NAMI at helpline@nami.org. Visit NAMI for more. You can also call or text SAMHSA at 988 or chat 988lifeline.org. Find more mental health resources here. 

What characteristics make bone biopsies unique in both presentation and procedure? In this episode of the BackTable Podcast, Drs. Junjian Huang and Majid Khan join host Dr. Neil Jain to break down the complexities of bone biopsy technique. They discuss key strategies for tackling difficult cases, from understanding referral patterns and pre-procedure planning to selecting the best guidance modality and anticipating complications. --- Get the BackTable apphttps://www.backtable.com/app --- This podcast is supported by Varian OmniBonehttps://cancercare.siemens-healthineers.com/products/interventional-oncology/musculoskeletal/omnibone --- Timestamps 00:00 - Introduction08:06 - Referrals And Pre-Procedure Planning12:35 - Triaging and Managing Difficult Cases17:06 - Measuring and Improving Diagnostic Yield18:58 - Knowing Boundaries Behind Difficult Cases22:37 - Choosing the Best Guidance Modality26:16 - The Future with Augmented Reality28:11 - Tough Case Scenarios and Setup41:27 - Preventing and Managing Complications47:49 - Technical Tips for Future IRs51:40 - Wrap-up and Credits --- More about this episode The conversation covers how to triage complex cases, adjust technique for smaller or hard-to-reach lesions, and benchmark diagnostic success. Drs. Huang and Khan share their preferred imaging guidance, from CT to fluoroscopy, and explore new frontiers like augmented reality. Case scenarios highlight practical problem-solving, and the episode wraps up with technical pearls and complication-prevention tips gained from years of experience in targeted bone biopsy. --- BackTable Vascular & Interventional (VI) is the go-to podcast for interventional radiologists, vascular surgeons, and interventional cardiologists. Download the free BackTable app to get early access to new episodes, cases, and courses curated by physicians in your specialty. ► https://www.backtable.com/app

Experiences with stress, depression, and anxiety are often paired with feelings of not measuring up or that you're not enough. However, feeling that you're lacking in some way is not limited to a mental health diagnosis; these feelings are actually very common and, unfortunately, they make our lives smaller. We're working on our Element of Enoughness in this episode, identifying Enoughness as an inner knowing that you are enough just as you are, with acceptance of where you are at this moment, without giving up on where you're headed. We'll start by identifying some obstacles to that knowing through two powerful research frameworks. The first is Dr. Jennifer Crocker's "contingencies of self-worth." This is the idea that we stake our self-esteem more heavily on certain domains than others, and when we do, our worth rises and falls with our performance in those areas.   The second framework is Drs. Paul Hewitt and Gordon Flett's three typologies of perfectionism: self-oriented (impossible standards for yourself), other-oriented (impossible standards for others), and socially-prescribed (believing others are demanding your perfection). Henry also names the common root for our feelings of not being enough: the fundamental fear of not belonging.  This is the start of our series on Enoughness, so be sure to stick with us for the next episodes as we talk about and gain skills related to having enough, doing enough, knowing enough, and being enough.   About: The Joy Lab Podcast is an Ambie-nominated podcast that blends science and soul to help you cope better with stress, anxiety, and depression. It's hosted by integrative psychiatrist Dr. Henry Emmons and holistic mental health researcher Dr. Aimee Prasek. The podcast is best paired with the Joy Lab App.   Bonus: spread some joy and keep this podcast ad-free by donating (Joy Lab is powered by the nonprofit Pathways North and your donations are tax-deductible).   Full transcript here   Sources and Notes for Our Element of Enoughness: Related Joy Lab Episodes:    Ep. 268: Humility Can Be Stressful... But Worth It for Mental Health  Ep. 273: How to Build Confidence (When You Don't Feel Confident Yet)  Bellam, S., Curran, T., Hill, A. P., & Stoeber, J. (2025). Perfectionism and work performance: A meta-analysis. https://doi.org/10.1111/joop.12570 Carver, C. S., Lawrence, J. W., & Scheier, M. F. (1999). Self-discrepancies and affect: Incorporating the role of feared selves. https://doi.org/10.1177/0146167299025007002  Crocker, J., & Park, L. E. (2004). The costly pursuit of self-esteem. https://doi.org/10.1037/0033-2909.131.3.392  Crocker, J., & Park, L. E. (2004). Reaping the benefits of pursuing self-esteem without the costs? Reply to Schmuck and Sheldon (2004), Sheldon et al. (2004), Pyszczynski et al. (2004), and Kernis (2004). https://doi.org/10.1037/0033-2909.130.3.430 Crocker, J., Karpinski, A., Quinn, D. M., & Chase, S. K. (2003). When grades determine self-worth: Consequences of contingent self-worth for male and female engineering and psychology majors. https://doi.org/10.1037/0022-3514.85.3.507 Crocker, J., & Wolfe, C. T. (2001). Contingencies of self-worth. https://doi.org/10.1037/0033-295X.108.3.593 Deci, E. L., & Ryan, R. M. (2004). Avoiding death or engaging life as accounts of meaning and culture: Comment on Pyszczynski et al. (2004). https://doi.org/10.1037/0033-2909.130.3.473 Freudenberger, H. J. (1974). Staff burn-out. Journal of Social Issues, 30(1), 159–165. https://doi.org/10.1111/j.1540-4560.1974.tb00706.x  Harari, D., Swider, B. W., Bujold Steed, L., & Breidenthal, A. P. (2018). Is perfect good? A meta-analysis of perfectionism in the workplace. https://doi.org/10.1037/apl0000324 Hewitt, P. L., & Flett, G. L. (1991). Perfectionism in the self and social contexts: Conceptualization, assessment, and association with psychopathology. https://doi.org/10.1037/0022-3514.60.3.456 Higgins, E. T. (1987). Self-discrepancy: A theory relating self and affect. https://doi.org/10.1037/0033-295X.94.3.319 Joseph, S., & Linley, P. A. (2005). Positive adjustment to threatening events: An organismic valuing theory of growth through adversity. https://doi.org/10.1037/1089-2680.9.3.262 Kernis, M. H. (2005). Measuring self-esteem in context: The importance of stability of self-esteem in psychological functioning. https://doi.org/10.1111/j.1467-6494.2005.00359.x Kirkpatrick, L. A., & Ellis, B. J. (2001). An evolutionary-psychological approach to self-esteem: Multiple domains and multiple functions. In G. J. O. Fletcher & M. S. Clark (Eds.), Blackwell handbook of social psychology: Interpersonal processes (pp. 411–436). Blackwell. Leary, M. R. (2000). Sociometer theory and the pursuit of relational value: Getting to the root of self-esteem. https://doi.org/10.1080/14792772043000045  Maslach, C. (1981). The measurement of experienced burnout. https://doi.org/10.1002/job.4030020205   Park, L. E., & Crocker, J. (2005). Attachment styles and contingencies of self-worth. https://doi.org/10.1177/0146167205277030 Pyszczynski, T., Greenberg, J., Solomon, S., Arndt, J., & Schimel, J. (2004). Why do people need self-esteem? https://doi.org/10.1037/0033-2909.130.3.435 Schaufeli, W. B., Leiter, M. P., & Maslach, C. (2009). Burnout: 35 years of research and practice. https://doi.org/10.1108/13620430910966406    Questions this episode was made for: Q: What does "you are enough" actually mean? Isn't that just an excuse to stop growing? A: Enoughness, as Joy Lab defines it, is the inner knowing that you are enough just as you are, with acceptance of where you are, without giving up on where you're headed. Enoughness is distinct from self-esteem (which rises and falls with performance) and is closer to unconditional self-worth; this episode explains the distinction and why believing you are enough actually makes you more open to genuine growth, not less.   Q: Why do I feel so driven to prove myself even when I know it's exhausting and not working? A: That's the contingencies of self-worth in action. When we stake our self-esteem on certain domains, we strive or perform not to learn or grow but to prove our worth; this episode explains the mechanism, its real costs, and why loosening those contingencies is not giving up on goals but can help free yourself from letting outcomes dictate your value.    Key moments: [00:00] Welcome to the brand new Element of Enoughness  [00:30] Opening fact: you are enough — and the Zen teaching Henry loves: "You're perfect as you are, and you could use a little improvement"  [01:00] Aimee's working definition: Enoughness is the inner knowing that you are enough just as you are, with acceptance of where you are, without giving up on where you're headed  [01:30] Contentment spiked with hope — Enoughness is not a ceiling, it's a foundation  [02:00] Why Enoughness is hard to define operationally — but viscerally familiar; we know what having it and lacking it feels like  [03:00] Henry: this topic lives in the conversation around scarcity and abundance — how much is enough is a question we don't give enough thought to  [03:30] Most of us carry on as though we don't have or aren't enough — striving, or feeling bad for what we think we lack  [04:00] The rare person who feels comfortable in their own skin: receives praise but doesn't need it — and stands out for it  [04:30] Four dimensions to explore: having enough, doing enough, knowing enough, and being enough  [06:00] Two key frameworks for the month: contingencies of self-worth (Dr. Jennifer Crocker) and typologies of perfectionism (Drs. Hewitt and Flett) [06:30] Contingencies of self-worth: we don't stake self-esteem equally on everything — certain domains carry more of our worth  [07:00] Three key claims: contingencies motivate where we put attention and effort; they influence how we react in those domains; they can lead to fragile self-esteem linked to higher depression and anxiety  [07:30] Contingencies turn "I feel good about myself" into "I feel good about myself if..."  [08:00] Crocker's college student study: students who tied self-worth to academic performance studied more hours — but extra studying did NOT predict a higher GPA  [08:30] They were studying to prove worth, not to learn — and reported more conflict, more academic struggle, more dissatisfaction by end of freshman year  [09:30] Key takeaway: you can be motivated to do well without attaching self-worth to the outcome — that's actually the more effective route  [10:00] Loosening contingencies isn't surrendering goals — it's refusing to let outcomes or others' judgments dictate your value  [10:30] Henry: inadequacy is closer to the truth than insecurity — the belief that we're not enough permeates almost everything  [11:00] Buddhist psychology: grasping — endless grasping — as the manifestation of not-enoughness  [11:30] No matter how much we get of the thing we think will fill us up, it doesn't last — this tragic gap drives anxiety and depression  [12:30] Aimee: feeling inadequate shakes our sense of security and safety — evolutionary roots, we need the group to survive  [13:00] Important distinction: self-esteem (rises and falls with performance), fragile self-esteem (staked on outcomes we grasp onto), and self-worth (intrinsic, not performance-dependent)  [14:00] Baumeister's challenge to the self-esteem movement of the '80s and '90s — hollow self-esteem building is at best unsubstantiated, potentially harmful  [14:30] Baumeister and Vohs, "Narcissism as Addiction to Esteem": chasing self-esteem through reality-detached praise creates a dopamine-like loop — feels good briefly, drops quickly, tolerance builds, need more and more  [15:30] The addiction pattern: constantly chasing the next hollow boost, convinced it'll finally hold — and it never does [16:30] Henry: why do we give our lifeblood chasing what we know deep down won't give us what we want?  [17:00] The fundamental human drive: to belong — to be seen, appreciated, cared about — once basic biological needs are met  [17:30] The tension: deep need to belong vs. the illusion that we are separate and must go it alone  [18:00] Neuroscience of belonging: newly born neurons immediately extend to connect with others — if insufficiently connected, they shrivel and die; same for us  [19:00] Introduction of perfectionism typologies from Drs. Paul Hewitt and Gordon Flett  [19:30] Type 1 — Self-oriented: punishing standards for yourself, intense drive to be perfect and avoid failure  [19:45] Type 2 — Other-oriented: same rigid standards applied to others — hard on relationships, linked to more loneliness  [20:00] Type 3 — Socially-prescribed: believing others are demanding your perfection and will judge you if you fail — most linked to depression, hopelessness, and possibly suicidal ideation  [21:00] Henry: socially-prescribed perfectionism feels like the loneliest of the three — you're playing by rules you didn't design, trapped in a system you didn't agree to  [21:30] All three stem from the same root: the fundamental fear of not being enough, of not belonging  [22:00] Self-oriented: "If I'm not perfect, I'm not worthy of belonging" — attacking yourself to earn your own permission to exist  [22:30] Other-oriented: projecting the fear outward — demanding others meet standards because that's what you believe it takes to matter  [23:00] Socially-prescribed: the loneliest — responding to what you believe the world demands, even though that belief deserves to be questioned  [23:30] Most of us carry all three — when we can name these patterns, we have a choice; we can loosen the grip  [24:00] Aimee: all of these types come from a good place — wanting to matter, wanting others to matter — it's driven by a desire for connection  [25:00] Pushback addressed: will believing you're enough make you lazy, entitled, or narcissistic? No — Enoughness is not the same as self-esteem  [25:30] Enoughness is a neutral, solid ground — you can feel bad about a mistake and still feel like enough as a person  [26:00] When you feel like enough: you can take criticism without your value collapsing; apologize without self-destruction; make mistakes and still belong  [27:00] Joy Lab Program Experiment for Enoughness — head to JoyLab.coach  [27:30] This is a collective experiment — to feel like enough, we have to offer that to others  [28:00] Closing wisdom from Lao-Tzu: "When you are content to be simply yourself and don't compare or compete, everyone will respect you."   If you enjoyed this episode, please rate and review us wherever you listen to your favorite podcasts!    Please remember that this content is for informational and educational purposes only. It is not intended to provide medical advice and is not a replacement for advice and treatment from a medical professional. Please consult your doctor or other qualified health professional before beginning any diet change, supplement, or lifestyle program. Please see our terms for more information. If you or someone you know is struggling or in crisis, help is available. Call the NAMI HelpLine: 1-800-950-6264 available Monday through Friday, 10 a.m. – 10 p.m., ET. OR text "HelpLine" to 62640 or email NAMI at helpline@nami.org. Visit NAMI for more. You can also call or text SAMHSA at 988 or chat 988lifeline.org. Find more mental health resources here. 

I've dealt with a lot of customers with who lately are concerned with the ROI of their teams. Certainly they want a good ROI if they purchase software from Redgate, as do we. Our goal has been to be partners with customers and continue to add value to the products they've purchased on a regular basis. We release every week or two, and our Redgate Monitor and Flyway updates reflect this. New functionality, fixes, and previews. I'm proud of the constant updates we deliver, and I know customers get increased value throughout our partnership. Does our software provide a good ROI? I get asked this question by execs regularly, and I often ask them if they feel they get a good ROI from their staff already. Answers are mixed, especially in the database world where it seems the costs and the value delivered from database dev or ops groups can be nebulous. Databases support application software, and if that software doesn't work well because the database deployment scripts weren't correct, weren't tested, or have performance issues, who is at fault? Read the rest of Measuring Productivity

This episode starts with a celebration of Dolly Parton's extraordinary generosity and cultural impact, then moves into a serious theological conversation about hypocrisy, leadership, and what makes a church spiritually healthy or toxic. Mike, Suzie, and Tim connect Jesus' warnings in Matthew 23 and Luke 12 to modern church culture, power, and the temptation to perform righteousness rather than live it.Why was Dolly Parton so universally loved, from the left to the right? Should Churches have a tax exempt status or does that malform the Church, structuring it like a business? How are we, today, to relate to the Pharisees and Jesus's warnings about their posture?Timestamps00:00 - Dolly Parton as a cultural and moral icon01:00 - Surprising examples of Dolly's generosity03:00 - Why Dolly is beloved across ideological lines05:25 - The question of doctrinal purity and salvation06:53 - Rob Bell versus Mark Driscoll and the “greater heresy” debate08:08 - Measuring a life by fruit, dignity, and consistency12:05 - Benny Johnson, Rome, and the irony of Christian empire language15:07 - Listener question: can 501(c)(3) status shape toxic church culture?16:40 - Suzie on tax status versus church culture18:28 - When tax structure becomes an opportunity for corruption21:37 - Tim on systemic abuse and why the model feels broken24:41 - Why leadership still matters in the New Testament26:08 - Ephesians 4 and leadership for church flourishing27:33 - Hebrews 13, submission, and the danger of abusive authority31:48 - Spiritual leadership modeled by Jesus, not American hierarchy34:29 - Paul's refusal to build status around himself35:51 - Teaching through the first woe in Matthew 2339:40 - Hypocrisy as “judging under” and split identity41:30 - The yeast of the Pharisees as corrupting influence43:49 - Fear, sparrows, and what Jesus says to disciples under pressure47:38 - Three ways truth gets exposed: life, persecution, and final judgment51:23 - Gehenna as a kingdom image, not a simplistic hell map54:17 - The God who judges also knows and loves you55:23 - Public confession, denial, and persecution56:17 - Tim on work, power, and the American dream as a church model58:38 - Why the point is not only identifying Pharisees, but avoiding becoming them61:06 - Suzie on famous failures, confession, and being found out in mercy63:35 - How secrecy and lack of truth-telling deepen corruptionAs always, we encourage and would love discussion as we pursue. Feel free to email in questions to hello@voxpodcast.com, and to engage the conversation on Facebook and Instagram.We're on YouTube (if you're into that kinda thing): VOXOLOGY TV.Our Merch Store! https://www.etsy.com/shop/VOXOLOGY?ref=shop_sugg_marketLearn more about the Voxology PodcastSubscribe on iTunes or SpotifySupport the Voxology Podcast on PatreonThe Voxology Spotify channel can be found here: Voxology RadioFollow us on Instagram: @voxologypodcast and "like" us on FacebookFollow Mike on Twitter: www.twitter.com/mikeerreMusic in this episode by Timothy John StaffordInstagram & Twitter: @GoneTimothy

Why can't most companies show their ROI on GenAI? Because their implementation is backwards.If you're using the same digital transformation playbook that you used for the social media and cloud eras, you're in trouble. On this 'Start Here Series' episode, we break down what your company is doing wrong and the 7 Step process to properly calculate ROI on your AI efforts. Measuring AI ROI: Why you're doing it wrong and the 7 Steps to fix it -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Proving and Measuring AI ROI in CompaniesOpenAI's GDP Benchmark: AI vs ExpertsDebunking MIT's Viral Zero ROI StudyQuantitative AI ROI Data from Business StudiesInvisible Productivity: AI Savings Pocketed by WorkersLimitations of Pre-AI Job Roles and MetricsROI Calculation: Time Saved and Cost ReductionFive Main Reasons AI ROI Isn't MeasuredSeven-Step AI ROI Measurement BlueprintImportance of Ongoing AI Model RetestingAI ROI: Training, Education, and Implementation GapsTimestamps:00:00 "AI ROI: Fixing the Debate"04:50 "AI ROI Debate is Pointless"08:03 AI Implementation Yields Positive ROI12:13 AI Reshaping Work Structures15:08 AI ROI Challenges20:11 "Baseline Assessment Before AI Implementation"23:49 "AI Operating System Discussion"24:35 "Standardized Testing for AI Models"28:26 "Rethink AI ROI Urgency"31:37 "Everyday AI: Subscribe & Explore"Keywords: measuring AI ROI, AI return on investment, generative AI ROI, GenAI ROI measurement, ROI on artificial intelligence, AI productivity, time saved with AI, cost reduction with AI, AI-driven revenue increase, AI risk avoidance, AI implementation, baseline assessment of AI, BASE framework, pre-AI baseline, digital transformation and AI, quality metrics in AI, cost per task AI, error rates AI, throughput AI, AI utilization rate, AI pilot evaluation, AI business impact, AI model benchmarks, Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Do you actually know if your training worked, or are you just hoping it did?In this episode of Learning for Good, I break down the five biggest mistakes nonprofit learning and development professionals make when measuring training impact.Most of us know we should be measuring our training, and we want to measure it, but somewhere between good intentions and actual practice, we get stuck. We settle for data that is easy to collect instead of data that tells us the truth. Good measurement isn't about checking a box, it's about using what you learn to make real decisions and show that the work actually matters.▶️ The Biggest Mistakes We Make When Measuring Learning▶️ Key Points:00:00:00 Why Measuring Training Matters00:03:00 The Kirkpatrick Model of Training Evaluation00:04:23 The 5 Biggest Mistakes L&D Professionals Make When Measuring Learning00:17:17 Turning Your Learning Dashboard into a Strategic ToolResources from this episode:ATD Research: https://www.td.org/content/press-release/atd-research-measuring-learning-program-effectiveness-is-challengingJoin the Nonprofit Learning and Development Collective: https://www.skillmastersmarket.com/nonprofit-learning-and-development-collectiveConnect with HeatherLinkedIn: Heather BurrightWebsite: skillmastersmarket.comBook an interest call with Heather here.⭐Was this episode helpful? If you're listening on Apple Podcasts or Spotify, follow and leave a review!

Text the show! The government sends nonprofits roughly $319 billion in taxpayer money. But what exactly are taxpayers buying?Chad starts with homelessness programs and discovers an accountability problem much larger than any one organization: nonprofits and governments frequently measure activity rather than outcomes—and sometimes the available data can't establish whether programs succeeded at all.But this isn't an attack on nonprofits.Private philanthropy already has a powerful accountability mechanism: the donor can stop giving. Taxpayers can't.That distinction leads to Chad's proposed 50/50 Rule: if more than half of an organization's funding comes from taxpayers, measurable public outcomes should be defined and reported. If private donors provide the majority, government should largely stay out of the way.Along the way: homelessness spending, nonprofit executive compensation, Mackenzie Scott's billions in private philanthropy, the difference between activity and outcomes, AI-powered accountability, and why a rule isn't a rule unless it also protects organizations you disagree with.Then in After Hours, Chad answers listeners challenging him on Mackenzie Scott, who should define nonprofit success, his own church tithing, and what one person can actually do about any of this.

In this episode of Innovation Meets Leadership, host Natalie Born closes out the Set It on Fire: The Art of Innovation series with a practical conversation on how to position and launch a product like a pro. Joined by Moriah Hidden, Natalie explains why a great idea is not enough: leaders must validate demand, build alignment, and create a thoughtful plan for bringing that idea to market.From cross-functional launch teams and go/no-go scorecards to customer roundtables, testimonials, and post-launch marketing, this conversation offers a clear roadmap for turning an innovative idea into a successful launch. Leaders will walk away with practical ways to gather honest feedback, measure what matters, create sustained visibility, and celebrate the people who helped bring the product to life.[00:00 - 04:35] Validate the Idea Before You Invest· What Natalie learned from inheriting a product customers did not want· Why direct conversations with customers can prevent costly missteps· Moving from complexity to clarity by identifying what customers will actually buy[04:36 - 08:44] Build a Cross-Functional Launch Plan· Why product launches should never happen in organizational silos· Creating internal kickoffs, weekly launch cadences, and clear ownership· Using go/no-go scorecards, handoffs, and pre-launch metrics to identify red flags[08:45 - 10:36] Make Customer Feedback Part of the Launch· Using launch parties, preview events, and customer dinners to gather authentic feedback· Inviting key clients into the process early and rewarding their participation· How testimonials and customer stories build credibility around a new product[10:37 - 13:28] Create Honest Leadership Roundtables· Bringing peers and buyer personas together for meaningful conversations· Why smaller roundtables can generate more honest and useful feedback· Choosing people who will tell the truth instead of simply affirming the idea[13:29 - 16:53] Plan Beyond Launch Day· Building a three- to six-month marketing cadence instead of relying on one big announcement· Moving from awareness content to testimonials, case studies, pains, and gains· Measuring engagement and adjusting the content plan as customer response becomes clear[16:54 - 18:30] Launch Loudly and Celebrate the Team· Why leaders should create noise and disruption in the market· Recognizing the team members who carried the product from idea to launch· Thanking customers for their feedback and including them in the celebration[18:31 - End] Closing the Set It on Fire Series· Reflecting on the practical frameworks covered throughout all ten chapters· Where to find the book, study guide, masterclass, and downloadable resources· A final challenge to break the box, set it on fire, and transform somethingQuotes“If nobody wants the product, we've got a real problem.” - Natalie Born“Our first line of defense is our own team.” - Natalie Born“Do not launch silently. Create some noise. Create some disruption in the market.” - Natalie Born“You don't set something on fire quietly. Be noisy. Make it loud.” - Natalie BornGuest LinksNatalie BornLinkedIn: https://www.linkedin.com/in/natalieborn Website: https://innovationmeetsleadership.com Book: Set It on Fire: The Art of InnovationBook & Resources: https://setitonfire.coIf this conversation helped you rethink your launch strategy, share it with a leader or team preparing to bring a new product, service, or idea to market.

In this solo episode of the Tech Leaders Playbook, Avetis Antaplyan explains why the right person in the wrong environment can still become the wrong hire. Avetis breaks down how leaders can evaluate candidates based on the problems they have actually solved, the environments where they perform best, and the stage of growth they have helped companies navigate. He explores common hiring mistakes, better executive interview questions, how to assess recruiting and executive search partners, and where AI belongs in modern talent acquisition. This episode is especially relevant for founders, CEOs, technology leaders, hiring managers, and executives building teams through periods of growth and change.What You'll Learn• Why impressive resumes and prestigious companies can create dangerous hiring bias.• How to match a candidate's experience with your company's current stage and next phase of growth.• What executives should ask to separate personal impact from simply being part of a successful company.• When an executive search partner can improve the quality and speed of a critical hire.• The role AI should play in sourcing and screening without replacing human judgment.Chapters00:00 Hiring for the Right Stage02:21 Start With Business Needs04:39 The Resume and Brand Trap06:53 Measuring a Candidate's Real Impact09:17 Hire for the Next Stage11:38 Be Honest About the Role16:08 Better Executive Interview Questions20:58 Choosing a Search Partner30:13 Protecting Your Employer Brand32:18 AI, Judgment, and Final TakeawaysFollow Avetis AntaplyanInstagram:https://www.instagram.com/avetisantaplyanSpotify:https://open.spotify.com/show/0rOkUXDSQb6SVFE6LttWDeApple Podcasts:https://podcasts.apple.com/us/podcast/the-tech-leaders-playbook/id1690263628HIRECLOUT:https://www.hireclout.comThe Tech Leader's Playbook:https://www.podcast.hireclout.comLinkedIn:https://www.linkedin.com/in/hirefasthirerighthiring strategy, executive recruiting, talent acquisition, executive search, hiring executives, recruiting strategy, leadership hiring, candidate assessment, hiring process, executive interview questions, startup hiring, technology leadership, business growth, company culture, talent strategy, hiring managers, founders, CEOs, CTO hiring, executive leadership, AI recruiting, AI hiring, candidate screening, employer branding, recruiting firms, search partners, Avetis Antaplyan, Tech Leaders Playbook#Hiring #ExecutiveRecruiting #TalentAcquisition #Leadership #ExecutiveSearch #HiringStrategy #TechLeadership #StartupHiring #AIRecruiting #BusinessLeadership #TechLeadersPlaybook

Tim Fitzgerald, Ryan Gilbert, and Jon Grove offer a new edition of the Powercat Podcast as Kansas State's 2026 football season approaches, discussing several topics fans are asking about. The Powercat Podcast is sponsored by Energy Center Manhattan Pool, located at 528 Pillsbury Drive in Manhattan, a proud dealer of Smokin' Brothers grills.CLICK HERE TO GET 75% OFF YOUR ANNUAL SUBSCRIPTION TO GOPOWERCATOur premium message board — Wabash Station — is a fan favorite, as K-State nation joins together with nonstop discussion, debates, and banter. Whether you want to join in on the action and post your thoughts daily or just sit back and see what people are saying, everyone has a place on Wabash Station. With premium scoop from our staff members, along with constant recruiting updates, Wabash Station is the place to be.But gaining access to Wabash Station only scratches the surface. While some articles are free, a good chunk of our written content is available exclusively for VIPs at GoPowercat. Whether it's top-notch breakdowns or unfiltered analysis, our VIP articles offer insight found nowhere else.Longtime publisher Tim Fitzgerald has assembled a one-of-a-kind crew. His right-hand man, Ryan Gilbert, serves as managing editor, overseeing the day-to-day operations on the site. Recruiting editor Cole Carmody not only keeps you in the loop with all things recruiting but also pitches in with cerebral football coverage. Jon Grove and Grant Snowden, both current journalism students at K-State, provide a fresh perspective on the Wildcats. Ethan Fitzgerald is the true jack of all trades, covering everything from women's basketball to soccer. Former offensive lineman Brien Hanley and former defensive back Monte Spiller also proudly contribute to GoPowercat with unmatched football knowledge. On the basketball side, GoPowercat is also blessed to have Clent Stewart on board, as the former K-State guard from 2004-08 is a literal hoops expert.So, what are you waiting for? Sign up to GoPowercat now!CLICK HERE AND TAKE ADVANTAGE OF OUR CURRENT OFFER

Bobby previewed the Saints' final preseason challenge against the Cowboys. David Miller, the President of the Huddle Up Club at Nicholls State, joined Sports Talk to discuss the Colonels' Week 0 opener against Mississippi Valley State.

Marvell (MRVL) will report earnings Thursday evening after Nvidia (NVDA) waved a green flag for the AI trade. Stephen Sopko explains how Marvell serves at a critical juncture of the AI trade and ways it can capitalize on earnings growth as tech evolves. He adds that the company's new partnership with Alphabet (GOOGL) offers a chance to compete with peers like Broadcom (AVGO).

Enterprise Knowledge CEO Zach Wahl speaks with Johannes Müller, Senior Director of Knowledge Management at Siemens. With almost 30 years with the company, Johannes systematically establishes and advances Knowledge Management and IT platforms across teams, aiming to initiate and retain a cultural change so that mutual learning and collaboration also works beyond geographical and organizational borders. In this conversation, Zach and Johannes discuss knowledge eaters and feeders, the symbiotic relationship between content quality and technical innovation, and collecting feedback and metrics while combatting survey fatigue. They also touch on how AI significantly supports knowledge exchange, and what this means with regards to measuring and reporting the quantitative business impact of knowledge management.Additional Resources:'Siemens References' – a global knowledge platform with externally visible contributions: https://references.siemens.com/en"Exploring use and benefit of corporate social software – Measuring success in the Siemens case References+:" https://mueller.zone/pub/?id=16sto---Comment below to tell us about your path to KM, or to ask any questions you have for our Knowledge Cast hosts! They may be answered in a future episode.---To learn more about Enterprise Knowledge, visit us at: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠enterprise-knowledge.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.EK's Knowledge Base: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://enterprise-knowledge.com/knowledge-base/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Contact Us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://enterprise-knowledge.com/contact-us/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/company/enterprise-knowledge-llc/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter/X: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/ekconsulting⁠⁠⁠⁠⁠Ad Music License: Upbeat Corporate by JP Bianchini https://jpbianchini.comCreative Commons — Attribution 3.0 Unported — CC BY 3.0Free Download / Stream: https://www.audiolibrary.com.co/jp-bianchini/upbeat-corporateMusic promoted by Audio Library https://youtu.be/Hiq53IyRnGI

Visual collaboration is missing from the AI era. That's the provocation Elaina O'Mahoney, Chief Product Officer at Mural, brings to this episode of The Product Podcast with Carlos (CEO at Product School). We spend all day alone in our tools, typing or talking to an LLM, and when it's time to collaborate we drop words into a doc instead of thinking together visually. Elaina makes the case that AI has quietly turned work into "solo-player mode," and that the teams who win next will be the ones who rebuild shared context and multiplayer collaboration on top of it.Elaina and Carlos get into why ideas are now cheap (you can go from a thought to a working prototype in hours) and why that makes shared context, not idea generation, the real bottleneck. She argues that everyone is a designer at heart, that product leaders should replace the five-page strategy doc with a fast prototype that conveys the North Star, and that "shipping" can mean a workflow or an agent, not just a production release. They also dig into the crowded "where work happens" landscape (Slack, Teams, Jira, Linear, Notion) and the blank-canvas gap around how and why decisions actually get made, how to create safe spaces for people to try AI and fail inside large enterprises, and the pricing tension between legacy seat-based SaaS and AI-native usage models.What you'll learn:- Why Elaina says visual collaboration is "absent" in the AI era, and why that matters- The "solo-player mode" problem: how AI made work lonely, and what multiplayer should look like- Why ideas are now cheap, and how that shifts the bottleneck to shared context and faster decisions- Why the real blank space isn't planning or chat, but how and why decisions get made- The case that everyone is a designer, and how visual thinking speeds up decisions- How a CPO ships to demo a direction (a prototype instead of a strategy doc)- What's still scarce in an AI world: data science, taste, and synthesizing analytics- How to create safe, low-risk spaces for teams to try AI and fail inside big enterprises- Why smaller "champion" teams beat top-down rollouts, and how internal builders spread practices- The pricing dilemma: seat-based SaaS vs. AI-native usage modelsChapters:00:00 Intro00:59 Intro: Elaina O'Mahoney, CPO at Mural01:31 Mural's origin as a collaboration canvas03:01 Multiplayer vs. AI's solo-player mode04:23 Ideas are cheap now: idea to prototype in hours05:44 The competitive landscape and convergence08:31 The blank space nobody owns: how decisions get made09:22 Lowering the bar so everyone can design11:33 Everybody should be shipping now12:25 Shipping to demo, not to production14:04 Creating safe spaces to try AI in the enterprise17:10 Forward-deployed engineers19:14 Building a community around Mural22:11 The pricing dilemma: SaaS vs. AI-native usage24:07 Measuring real AI impact26:19 How Elaina structures her team28:20 The innovator's dilemma30:03 From annual QBRs to monthly loops31:05 Ten years of Mural, and a World Cup sign-offConnect with the Guest:Elaina O'Mahoney, Chief Product Officer, MuralLinkedIn: https://www.linkedin.com/in/eomahoney/Host: Carlos, CEO at Product SchoolLinkedIn: https://www.linkedin.com/in/villaumbrosia/About Mural: Mural is a visual collaboration platform built for teams to brainstorm, converge, and make decisions together on a shared canvas. Originally created by co-founders in Argentina, it scaled rapidly during the shift to remote work.About the Product Podcast: Product School's podcast brings you candid conversations with the founders and product leaders shaping tech.Social Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

Corporate social media is much more than publishing posts, and employee advocacy is much more than giving employees content to share. The systems, governance, enablement and strategy behind the activity are what make it work.Michelle J Raymond is joined by Chris Downey, Head of Social Media & Editorial at Elastic, to unpack what effective corporate social media and LinkedIn employee advocacy look like inside large B2B organisations. From why the tool is only 5% of an advocacy programme to the roles of Company Pages, employees, and opt-in participation, Chris shares what he's learned while building these programmes from the ground up.Key moments in this episode - 00:00 Corporate social media strategy: Pages + people02:00 What businesses misunderstand about social media teams05:00 Can one bad LinkedIn post damage your brand?07:00 Building a corporate social media programme from scratch09:00 Why social media governance matters12:00 Why employee advocacy tools aren't the strategy17:00 Why employee advocacy should be opt-in21:00 LinkedIn Company Page vs employee content25:00 Measuring the real value of employee advocacy27:00 How to keep employee advocacy momentum goingCONNECT WITH MICHELLE J RAYMONDMichelle J Raymond on LinkedInBook a free intro callB2B Growth Co newsletterConnect with Chris Downey on LinkedIn

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss how to stop AI from turning your writing into repetitive slop and replace it with authentic human voice. You will discover why AI drifts into repetitive phrasing and how to stop it. You will learn to measure your unique writing style with simple numbers that lock in your voice. You will apply a structured editing process that transforms machine drafts into polished content. You will gain confidence to command AI tools without wasting hours on endless revisions. 00:00 – Introduction 02:15 – The AI writing frustration 06:30 – Measuring your voice 12:45 – The five performance steps 18:20 – Building your writing blueprint 24:10 – Call to action Take the new course at: https://academy.trustinsights.ai/courses/ai-for-writers Watch this episode to finally break free from generic AI output and start writing with total control. Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-how-ai-writes.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In Ear Insights, let’s talk about AI for writing and for writers. We have seen no shortage of people talking about AI watermarking and all this stuff and how you can tell whether somebody’s using AI for writing or not. And we at Trust Insights have put together a new course, Trust Insights AI for Writers, for how to get AI to write better and not coincidentally, help you as a human also become a better writer. So, Katie, to start off, what are the things that when you are writing with the assistance of AI, what are the things that sort of you wish AI would do better? Katie Robbert: You know, I wish it would listen better. And by that I mean I feel like you can craft a really strong prompt. You can say, here are my writing samples, here are things that I don’t want you to do. And it kind of just like freewheels and does its own thing anyway. And I feel like that is frustrating for a lot of people. So, you know, I really try to write the first draft of things myself as the human and then know, and I’ve talked about this in the newsletter and on pod on our podcast where I bring in AI is to double check with like our ICPs or to use it as an editing tool. But then the editing gets carried away. You know, I’m not an editor and grammar is. I would like to say that the public school system failed me. You know. So I’m like a half decent writer. I have good ideas and I write in a stream of consciousness. And so I need tools or human editors to help me clean things up. And this is where I look to generative AI because the team doesn’t always have time to like fully edit my stuff. But then when I read back what the edits are or what the suggested edits are, I’m like, where did this come from? Or why did you make up a whole anecdote that never happened, but you’re saying it authoritatively? So I feel like the hallucination is the big thing. And the, you know, depending on the large language model, each model has its quirks in terms of the way that it writes or the way that it, you know, quote unquote, articulates thoughts. And so I think one of the things that you’ve shared about Claude, for example, is it likes its, you know, things in threes, like three punchy points. And it’s very much a tell that, like, oh, that’s a Claude thing. And I found that when I have, you know, an AI assistant help edit my stuff, it turns it into a lot of that, like the individual sentences, the three punchy points, like the this and this, then this or this or, you know, those kinds of ways that it writes. And that’s not what I, the human had put in. And I’m just sort of sitting there exhausted, like. But I just, I need this edited and I need it coherent and is it good enough? But did it change too much of my own human writing? So I think that, you know, when I think about using AI for writing, that’s what I’m personally struggling with is, you know, I still want to be the one writing it, but, like, I need someone to help me polish it. And the polish is like subpar. Christopher S. Penn: Why do you think AI does that? Why do you think AI behaves the way it does and turns original writing into something that sounds like slop? Katie Robbert: Oh, gosh, if only there was a course that was going to tell me the answer to this question. Christopher S. Penn: There’s something else that will also tell you the answer to that question. And that happens to be the fifth P. Katie Robbert: I should have guessed that one. Sneaky, sneaky. The framework at Trust Insights is purpose, people, process, platform, performance. Chris, you’re specifically talking about performance. And I think that where a lot of us get caught up in prompting these large language models is we think we’re being clear on the performance, but we’re not as clear as we could be. And that’s where the frustration sets in and that’s where we want to throw up our hands. And so the perfect purpose could be, I need you to edit this, you know, five thousand word essay. I need you to look for spelling and grammar and, you know, a cohesive thread like all those things. People, here’s my audience, here’s my authoritative voice, here’s my samples process. I want you to go through this and just list out the changes. Don’t change it for me, platform. This is going to be published on my blog, which is hosted here, and I’m going to add images in these places. And then performance. We typically think of performance as did we get the polished thing from our purpose? But it sounds like we are missing a lot of opportunity in the performance part of the 5Ps to really spell out what we need. Christopher S. Penn: And that is the premise of the new course. The biggest chunks of the new course that we have are twofold. One, we spend a lot of time on research because good research leads to better outcomes typically. And two, we spend a lot of time on math, which is your average writer is like, But I started with the premise for this course, that writing is code. If I put nonsense words together, you’re like, did you just get hit in the head? Like, what happened? Did you actually put decaf in the coffee maker this morning? If I don’t say words in the right order in a statistically predictable pattern, you have no idea what’s going on. You might say, these tests, coverage, adding branches, empty. Like, what? What does that mean? That’s word salad. Language follows patterns, and those patterns are predictable. And the reason why AI writes the way it does is because it’s choosing the most probable patterns, even when it doesn’t sound like you. So the first thing that we have to do is give AI performance, right? To say, this is what success looks like. And it has to be in a tangible form. The percentage of passive voice that you use in a text when you write as a human, how much passive voice do you use? The number of sentences that begin with a noun or a pronoun. What percentage of your copy is that? Is that the number of EM dashes that you use naturally in your text as a human? What is that? Our friend Anne Hanley says, I use the EM dash because I’m an actual writer, but I don’t use it in every sentence. And where AI typically goes off the rails is when it knows that a construction is probable, like using EM dashes, like using triadic rhythm, like using bicolon or isocolon. And it says, hey, I’m going to use the most probable things. But it has no concept of frequency, so it overuses it. And you get, it’s not this, it’s that in every single sentence or in, you know, Claude in particular loves bicolon. It’s. It sounds like a drum beat. One and two and one and two. And you’re like, could you please vary the beat? Katie Robbert: Right? Christopher S. Penn: When you look at a, like a slide deck Claude generates, everything is bicolon, all the headings, you know, this and this, sharp insight and this. And you’re like, my God, this is so mind numbing to read. If we give AI analysis of how our writing to begin with and say success looks like this set of numbers, now go right, then check your work and compare what you wrote versus what the blueprint is and it will go, oh, I didn’t do this at all. Like, I use 82% passive voice. Yeah, go back and fix it. But the fifth P in the 5P framework by Trust Insights is so important. We have to establish what success looks like for it so that it mathematically can go back and fix its code. Katie Robbert: So let me ask you this question though, because I will give Claude like samples of my writing and say this is what it’s supposed to sound like. Am I doing it wrong? Because I have all of these samples from like literally years and I feel like Claude or a large language model, you know, is trying to evolve my writing so that my writing fits its format, not its editing, to my writing. Like, I feel like that’s where I’m struggling. Christopher S. Penn: You are not doing anything wrong except you are asking it to count and it can’t count. And so even though it will analyze your writing as a language model, it has no clue of how to count. One of the things that’s in this course is probably worth the price of admission alone is a Python script that it has to run on a writing sample you provide that will do that fingerprint mathematically not letting the language model try to count, because language models can’t count. The Python script goes through and it counts in your original sample, this is the percentage of passive voice that you use and it writes it down as a fingerprint, as a file in your language model of choice. It works in ChatGPT, it works in Copilot. It tested in all the systems. It can then rerun that script on its output and say, initial sample, 4% passive voice, my work, 18% passive voice revision loop. I need to go back and keep revising until I hit this number. But it can’t count that by itself. It needs the support of actual code to do it. And that’s what’s in the course is pre baked. Nobody has to be coding, no coding involved. It’s bundled in. But you would drop that into your Copilot or your ChatGPT or your Claude and say, this is how you’re going to measure yourself. Yourself, you’re going to do the fingerprint and you’ll reuse that fingerprint and then you will go back and you will count using this script. And that’s, you know, again, you’re not doing anything wrong. It’s just the average non technical user doesn’t think, hey machine, I remembered you can’t count well. Katie Robbert: And I say, okay, so that’s an interesting distinction because so up until now, you know, I’ve been saying like, hey, this is the sample of my writing. And you’re right, it absolutely, it takes what I give it and it like, is like, oh, you said to do this, let me make sure that I do this. And by making sure that I do this, I’m going to do it 16 times out of the 18 sentences, but I’m also going to do this in 15 of the 18 sentences. And so it’s taking everything it knows about my style of writing and trying to jam it all into one sentence. And I’m like, whoa. Like, yes, grammatically it’s correct, but now it’s garbage because that is not at all what I wrote. And I sort of. I feel, it’s not that I feel like my hands are tied because I can’t fix it myself, but like, the reason I turned to a system for help is because I’m not an expert editor. And so I miss things that an editor would find. And I need that, like, for me, I need that kind of support of like, hey, you started a point over here and then you dropped it halfway through and you made a different point at the end. Like, you gotta pick a story and stick with it. Christopher S. Penn: And this is where these tools, these AI tools simply by themselves cannot do that. Like, they just do not understand. How do I, how do I even count? So I’ll show you an example of one of the things that is bundled in the course. And again, the average user does not need to look at this. The average user is not going to. You will just drop the file and say, machine, off you go. But it will look at thing. There’s functions in this. It says like, look at the rate per word of the this kind of word. For example, it’s often said that good writing relies on relatively few adverbs. Adverbs are words that end in ly, you know, actually, etc. AI loves adverbs, obviously, actually, and stuff like that. Which also sounds condescending. Katie Robbert: Yeah. Christopher S. Penn: And so if your writing style uses almost no adverbs, when you do a fingerprint, it will say, hey, your adverb rate per 1000 words is like 1%. And so when it goes back and counts, it’s revision, it’s edits that you had it make. And it goes, oh, I used 9% adverbs in my revision. But the target, the performance says 1%. I need to go back and fix my work. It’s a diagnostic. And that’s what’s missing from all of our prompts, because it can’t do that. That’s what’s missing from every single AI for Writers course I’ve ever taken or every session I’ve ever sat in. Nobody thinks of writing as a system of measurement, of analytics. And therefore, when AI just follows its own internal process programming the probabilities that it generates, we’re all like, why is this keeps coming out like slop? Why can I not prompt this thing to sound like me? It’s because it can’t count. And so the cornerstone really, of this entire course that we’ve created is let’s give AI the tools it needs to count, let’s give it the measures that it needs to count, and then let’s give it clear guidelines. You know, one of the things that is in the toolkit is a. Again, this is another piece of code the user, you. The user will not use. This is built into a skill that you just install, and there’s instructions on how to install it. But it will say, if you have this cadence, don’t do that. Here’s how you do it instead, right? If you do short, long, short, long cadence over six consecutive sentences, you’re writing us. You’re writing a dead drum beat. Dead. Don’t do that, do this instead. Things like that. So, for example, if you look at AI writing ChatGPT, Claude, Gemini, and you just take a step back and you look at the page, all the paragraphs are about the same length. They’re all. They all kind of look like the same gray rectangles on a page. If you were to step back and stop looking at the letters and just look at the shape. If you look at your human writing, there’s a good chance that it’s. There’s some paragraphs are real short. Maybe it’s even one word, like an emphasis one like, no, don’t do this. Right? And that’s just its own paragraph. That frequency of change in paragraph length is something that you can measure. Machines don’t know to look for that. Machines don’t even think about that. And so if we give them the tools, the counting tools to go. Katie tends to alternate her paragraph length. Sometimes her paragraph length is 11 sentences, other times it’s one. I should replicate that general pattern. Because once you give AI a pattern, it’s like, oh, I know how to do patterns. I can do this. And it goes off and it creates it. Katie Robbert: I mean, I have a lot of thoughts and comments, you know, and so like, the big elephant in the room is, you know, why are we teaching people how to train the models to write when there’s real writers out there? So, I mean, that’s a big question. So I’m just going to like, put that, like, stick it up here for a second. When I think back to like high school and middle school, for example, we generation were taught the five paragraph writing. But for a lot of us, this is like, this is how were taught to write. So the first paragraph is your opening argument. The second, third and fourth paragraph are your supporting reasons for your argument. And the fifth paragraph is your conclusion. And so a lot of us who were, you know, that was like drilled into our heads on our like yellow piece of paper with the green lines, like that’s how you’re supposed to write. And so I think what’s often frustrating for someone who writes their own stuff is because were taught to structure our writing in a certain way. It can come across as well. AI must have written that because of the structure. It’s like, no. My sixth grade middle school English teacher, when slapping rulers on tables was legal, scared the bejesus out of me and told me, this is how you have to write. And so I write the way that AI writes because it was drilled into my brain. This is how you write. And I guess I’m wondering, so when you’re saying like pattern recognition, like it learned these patterns from us. We taught it the patterns it did. Christopher S. Penn: But it is averaged together everything. And that’s why it often comes out so different than the way an individual writes. Because everyone has their own pattern distortions. Everyone has words they like, everyone has words they don’t like. Everyone has words, life experiences that will show up in your writing. AI is averaged all of that together into. And then what it does is it spits out the highest likely probability except for when it’s using watermarking. And so the five paragraph essay and that kind of blocky set. Yeah, it’s going to do that because the majority of writing it has seen on a bell curve is exactly that. If you look at the, you know, an earnings report or a press release, it is exactly that dead metronome of boring writing. The thing about writing to that. And we say this in the beginning of the course and we’ve said this in many different places. Good creative work that’s interesting is low probability. Right. You, the way you write should be surprising and different than what the way that middle school teacher taught you to write. Right? I will. There’s all sorts of expressions I’ve used for this. But if you say, you know, this is a, this works like a Prius and other people the average is this works okay. Right. This works okay. It’s boring. This works like a Prius, has a very specific connotation and A mindset behind it. And so what we want AI to recognize with the tooling in our course is recognize how the. In our individual style looks and replicate that specific pattern, not the general patterns. You’ve been trained on the general patterns that you will generate without these very rigid mathematical guardrails. Katie Robbert: Okay. One of the things that I’ve noticed and I’ve seen, and actually, this is a phrase that you use a lot. And so I guess I’m sort of asking, like, have you adopted this from AI or is it a phrase that people use and AI has adopted it is something that I see a lot in my conversations with a large language model is. And here’s the shape of the thing, and here’s the shape of it, and here’s the shape of the problem, and here’s the shape of the challenge. Well, that’s not the same shape as it was before. And I’m like, why are we talking about shapes? And to be fair, Chris, you say that a lot, but you are not in my instance of a large language model. And so I guess my question is, have you. No, you’re not. Have you brought that from working with large language models? Because that’s not a phrase that you used to say before. But I find that, like, there’s these little ticks and, you know, quirks that these large language models have, and each one has a different one of ways that it phrases things. So you’re talking about, like, the 1, 2, 3, the cadence, but then there’s also these descriptors, and I find that really interesting. And I feel like if a human is not paying attention, that very easily slips into a lot of your work. Christopher S. Penn: It. And it slips into how you think, too. Like, I find myself when I’m writing now, I go, oh, that is negative parallelism. And I will even call that out. Like, in a LinkedIn post I published this morning, I say, and to quote one of Claude’s favorite constructions, it’s not this, it’s that. Because negative parallelism, which is a form of bicolon, is. Is something that the language models use. But writing is a lot like. It’s a lot like nutrition. You become what you eat. So if you are reading AI generated text all the time and. And you start seeing that’s a sharp insight, that’s a sharp angle. It’s going to influence you. And so, yeah, I probably have picked up things because I’ve spent so much time wrestling with these tools and trying to diagnose how they do their constructions that, yeah, some of it is going to influence how I write and speak and even think. And one of the things that linguists, if you read this one, the discourse online, the, one of the things that linguists are very concerned about with AI generally is that it’s sort of a flattening of language, that the language, the English language itself is morphing because of the influence of AI on it. When you, when I saw, I think the stat was two out of three pages on the Internet are now written solely by AI. That is going to have a, a shaping effect on how we read and how. And when you see, you know, I think it was something 10 out of 1, 9 out of 10 new books submitted on Amazon was written solely by AI. That’s going to change your language. That’s going to change how you read and how you write is how you think. Katie Robbert: Yeah, it’s interesting. So let’s say I’m a brand new learner. I want to sign up for the AI writers course. What are some of the big things that I’m going to learn? I believe you’re introducing a new framework which is called craft. Can you speak a little bit about what the craft framework does and if I’m someone who’s trying to help my writing, what that means? Christopher S. Penn: Well, okay, so the CRAFT is a subset of the 5P framework, right? So the whole course is Craft fits in process. It’s a breakdown of process. But fundamentally the whole course itself is actually structured on the 5P framework. I’m the major lessons are literally right out of the 5P framework by Trust Insights because it’s the best framework for pretty much everything. CRAFT is a subset of process, which stands for create. You need to come up with the idea because AI is not going to do a good job. Then you need to do a buttload of research to inform the idea. Then you need to architect the work itself and we’ll talk about process decomposition, which is which we borrow from software development. I basically took the learnings of some software development and turned it into a writing course. Then you have what’s called fabulate, which is basically a machine. Here’s how to go and do this. How you build the. The plan for a tool to go do it. And then the last part, which is the hardest part, is the tuning part where the machine and it’s not hard for you, the user, it’s hard for the machine. You say, hey machine. Remember here’s the fingerprint that we did of how I write. You need to retune your work to match it. And then I as a human editor review and go, you missed this. These constructions are still off. And the machine’s like, okay, I’ll go fix it. You will see that in the course content to watch the tuning process go, oh, I can’t be hands off. I of the human still have a role to play as the editor saying, machine, you missed this. Katie Robbert: And I think that’s an important point because I think there’s a lot of misunderstanding as to where AI for writing fits in to an everyday process and how it can be the most beneficial. And so we’re not teaching you, hey, AI is going to replace your writing. We’re trying to teach you to more smartly and thoughtfully. Clearly I’m not a writer today to more pragmatically use AI in your writing, not just say, hey, AI do my writing. Because that’s where the slop comes from. To your point, these are word prediction machines. And so, you know, you often give examples of like cliche statements. So like, if I say it rains, AI is likely going to say it pours, you know, and so we have to be more creative than that. And that’s really where the human side of this comes in, is being very thoughtful about, you know, how can I break out of that Prius version of writing so that it’s, you know, something more interesting? Like one of my favorite song lyrics that my husband is convinced is just gibberish, which is the comfort of the knowledge of the rise above the sky, but could never parallel a challenge of an acquisition, which is not something that I think AI would necessarily come up with, but it’s a real song lyric. And it’s like that always sticks with me. Not only because when I was a teenager, me and my friends thought it was amazing to be able to recite it on command because we thought were so cool, but because it just strikes me as such an interesting way of saying something very simple. It’s an over complicated statement, but it’s not something that AI would come up with. And so I like, that’s where my brain goes, I’m writing is like, is there a more interesting way to say this other than, well, when it rains, it pours. Christopher S. Penn: And in the course you’ll actually see that in the first two steps of the CRAFT framework. The first is, you know, the creation, you, the human have to come up with the idea. And the second is the research. Because the more better research you do, the more unique the words are going to end up because you will dig deep into Subjects that maybe you didn’t even know about. So in this course I teach about building a short story and I build a 20,000 word short story in there about time travel and the research process for that, for this short sci fi story ended up pulling like five years worth of quantum physics papers and looking at the eight different forms of, you know, how physicists understand the very fabric of space time that works into the story and that creates a much richer story than just winging it. Because the research process digs super deep into low frequency words, things like Cartesian planes and Lorentzian manifolds and all these things. I just read the research outputs and going, wow, I need a PhD just to understand what the research is about. But it creates better writing. And to your point, and you know, kind of the whole point of the course is if we really, if I were to distill it down, this course is about how do you slap better guardrails on AI so that when it’s writing it follows instructions better and it brings to life the things that you want. And so the course will become available on the this coming. Well, by the time you listen to this podcast, it’s out. It will come out yesterday by the date the course is out Exactly. And you can find it at TrustInsights AI for writers. It’s 397 US and with it you get the course. You get the deep research toolkit for doing the research. You also get the writer’s suite which contains a writing planning skill, which by the way is fantastic. It will really force you, the human to think a writing fingerprint skill and a writing QA skill that will take any piece of existing writing and QA it like software against the original requirements document that you wrote for the writing. So Katie, you will see a lot of very strong parallels of the things that you’ve been writing and talking about for years about how do you do great build, great software. If writing is code, we’re going to apply the same practices. Katie Robbert: I think that’s great. And you know, I love more guardrails for AI. So I’m excited to test all of this out. Christopher S. Penn: Exactly. I hope, I hope you do. And if you’ve got some thoughts about how you have been helping AI write better and you want to share and pop by our free Slack group, go to Trust Insights AI analytics for marketers, where you and over 4,700 other marketers are asking answering each other’s questions every single day, including whether pizza sauce should be sweet or not. Katie Robbert: The answer is no. Christopher S. Penn: Wherever does you watch or listen to the show. If there’s a challenge you’d rather have it on, we are probably there. Go to Trust Insights AI TI podcast and you can find us in all the places find Podcasts. Podcasts are served. Thanks for tuning in. We’ll talk to you on the next one. Katie Robbert: Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen and prosperity. Aiming to help organizations make better decisions and achieve measurable results through a data driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence and machine learning to drive measurable marketing ROI. 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Whether you’re a Fortune 500 company, a mid sized business or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance and educational resources to help you navigate the ever evolving landscape of modern marketing and business in the age of generative AI, Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. 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Paul Walsh, Michelle Weaver and Daniel Blake discuss how thematic mapping can help investors separate true beneficiaries from market hype and identify risks hiding beneath the surface.Read more insights from Morgan Stanley.----- Transcript -----Paul Walsh: Welcome everyone to Thoughts on the Market. I'm Paul Walsh, Morgan Stanley's Head of Research in Europe. Michelle Weaver: And I'm Michelle Weaver, U.S. Thematic and Equity Strategist. Daniel Blake: And I'm Daniel Blake, Head of Asia Thematic Strategy. Walsh: And today we're discussing why thematic investing may be entering a new phase – moving from simply identifying big ideas to systematically measuring them.It's Tuesday, the 25th of August at 2pm in London. Weaver: It's 9am in New York. Blake: And it's 9pm in Singapore. Walsh: Daniel, let's kick our discussion off today. Thematic investing has become one of the most important ways for investors to think about long-term opportunities. But your latest work suggests the framework itself is evolving. So, what's changing? Blake: Well, if you look at where we've started. So thematic investing has been narrative-driven, focusing on identifying major structural trends for investors. So, at Morgan Stanley, we've identified core themes of artificial intelligence and tech diffusion, the future of energy, societal shifts, and the transition to a multipolar world. So, what's changing is that investment approaches are becoming much, much faster. So, we're now seeing clients deploy agentic AI to drive trade recommendations. And sure, AI can read a new 100-page thematic report from Morgan Stanley faster than humans. But for the right conclusions, it's important to connect these models with high-quality data sets. And we think that's going to be helpful for human investors as well. So, this is where the third phase of thematic investing comes in. The first phase was identifying secular trends that cut across markets and industries. The second phase was creating investable products around those themes. But this next phase is about measuring that exposure systematically in real time. So, this allows investors and their AI agents to identify whether a theme's importance is broadening or fading and to track individual companies' exposure to that theme over time. Walsh: So, the thematic investing is moving from narrative-driven to a higher velocity data-driven approach. And I guess that's where our thematic mapping exercise really comes in. So, Michelle, when investors hear the term thematic map, they may think it's just another screening tool. But it's much, much more than that, isn't it? Weaver: Absolutely. The easiest way to think about it is it's a research framework that sits on top of traditional sector and regional analysis. Historically, investors organize portfolios by country, sector, or industry group, and those verticals are still very important. But increasingly, the biggest investment forces cut horizontally across those boundaries. AI touches software companies, industrials names, healthcare, financials, and it's even had a huge impact on the utility sector.Thematic mapping helps us identify where those exposures exist across thousands of stocks, and importantly, how significant those exposures are – all with the help of our analyst experts. And the innovation isn't simply identifying if a company's exposed to AI, energy transition, or defense spending. It's determining whether that exposure is central to the investment thesis, just supportive or insignificant. And that's very different from traditional thematic baskets. Walsh: So, we identify the exposure, but the idea of significance seems particularly important because investors constantly hear companies talking about themes on earnings calls for example and in their public communications. But how do you separate genuine exposure from a more marketing-driven language around thematics, Daniel? Blake: This we see as the most valuable and ultimately human-driven part of the framework. So, as an example, we know that many companies are outlining their AI initiatives, and not all of them will end up being AI beneficiaries. So, the key question is how a given theme will impact revenues, margins, competitive positioning, and valuations. And this requires the deep knowledge of both the industry and the company, as well as where things are going. And so that's where our analysts come in. Across all countries, all sectors, mapping the materiality of their entire coverage, that's almost 4,000 companies, to every global theme in real time. Sp. our job in the thematic strategy team is to coordinate the framework, help identify emerging themes, and draw out the insights and recommendations. But the core insights are really coming at the analyst level, company by company. Walsh: And so, to your point, Daniel, it's about the analyst overlay in terms of significance that is really important. So, investors really shouldn't think of thematic exposure as a simple yes or no question… Blake: Exactly. That's really the new innovation in this framework, and most companies will sit somewhere along that spectrum for a given theme. And there's value in tracking how that position is changing over time. Walsh: Yeah, rate of change is clearly critical. And Michelle, one of the things I found particularly interesting is that the framework isn't just about identifying winners. It's also about identifying companies that may be challenged by structural change as well. Why don't you help our listeners understand why that's so important? Weaver: Because every major theme, yes, creates a lot of opportunity, but it also creates disruption. And I think investors naturally focus on beneficiaries. Where are we looking on the long side? But in many cases, understanding who might be negatively exposed can be just as valuable. If you think about AI, there are obvious beneficiaries, whether those are the big enablers or they're companies adopting the technology successfully. But there could also be companies facing pricing pressure, margin pressure, or broader disruption because of that same theme. And that's equally true whether we're thinking about the future of energy, societal shifts and big demographic realignments, or the multipolar world. And a complete thematic framework should help investors understand both parts of that equation. And this is becoming increasingly important as markets move from broad thematic enthusiasm towards more selective stock picking. Walsh: Absolutely. The ability of the thematic mapping to help us understand both sides the equation clearly incredibly important. Let's bring it back to investors' portfolios. Daniel, how should investors think about thematic mapping as part of portfolio construction rather than simply stock selection? Blake: If you're looking at that portfolio construction level, whether you're a retail investor or you're one of the largest asset owners of sovereign funds, one of the biggest benefits is for revealing and managing hidden exposures.So, an investor might believe that their portfolio is diversified with positioning across many sectors and markets. But when you use the thematic map to underline, to explore the underlying thematic exposure, you might find that many of these holdings are tied to the same structural trend. So, the thematic map allows investors to better diversify portfolios while retaining the best expressions of desired themes. And as you mentioned, it's not just a screening tool. But it's pretty useful as a screening tool as well if you want to take exposure to a given theme overlay with valuations and preferences. It's very helpful for that reason as well. Walsh: Yeah, understood Daniel. And Michelle, as we look stock markets right now, how are you seeing the opportunities via the thematic mapping work that we've done? Weaver: Flagging potential rotations is another key part of what this analysis offers. And if we think about your question from a valuation perspective, AI adopters currently look relatively inexpensive, but they still offer strong expected earnings growth. And we're also seeing analyst sentiment beginning to improve. You're seeing a growing number of companies having their earnings estimates revised higher. We're also seeing a similar opportunity across our societal shifts themes. Valuations here are well below their typical levels over the past decade. And at the same time, we're also seeing earnings expectations improve here. Walsh: So, perhaps the biggest takeaways are that thematic investing is becoming more measurable, more transparent, and more integrated into portfolio management. It's no longer just about spotting the next big idea. It's about understanding where that idea exists, how much it matters, and of course, how it's evolving. Michelle, Daniel, thanks so much for taking the time to talk. Weaver: Great speaking with you Paul. Blake: Thanks for having us. Walsh: Thanks for listening. If you enjoy Thoughts on the Market, please leave us a review wherever you listen and share the podcast with a friend or colleague today.

Effective athlete support requires more than delivering technically correct nutrition advice. It depends on understanding the athlete's wider environment, anticipating the pressures that disrupt good intentions, and building flexible routines that remain useful across training, competition, travel and everyday life. This episode explores how practitioners can move beyond rigid prescriptions, use "good, better, best" options, measure meaningful progress, and create environments in which athletes can communicate openly about difficulties. It also examines identity, transitions out of sport, and why sustainable support should develop an athlete's autonomy rather than dependence on the practitioner. To discuss all this is Gemma McGuinness, registered performance nutritionist, former professional footballer and co-founder of Verus Performance. Timestamps: [02:38] Interview start [03:48] Nutrition beyond performance [10:10] Identity and food choices [18:47] Standards versus perfectionism [24:52] Planning that actually works [28:32] Measuring progress in athletes [33:37] Where discipline can cause problems [38:40] Building high performance environments [45:37] Key ideas (Premium-only) Links: Go to episode page Join the Sigma newsletter for free Subscribe to Sigma Nutrition Premium Enroll in the next cohort of our Applied Nutrition Literacy course Instagram: @gemmcguinnness Verus Performance Davey Nutrition Gemma's Substack

AI can write your resume, optimize your LinkedIn profile, and draft your outreach messages, but it can't teach you how to walk into a room and be someone people actually want to work with. Ryan Conceicao is back to break down why soft skills have quietly become the most valuable, and most neglected, skill in the job market right now.Thank you for listening, and as always...enjoy your first sip!————————Interested in breaking into medical sales?Ryan has a free 60-minute training that walks through the system he uses to help people start landing interviews, even without previous sales experience.Watch Ryan's free training here: https://movetomedsales.com/?am_id=dekimbe8228First Sip listeners also receive $100 off if you decide to enroll in one of HireLevel University's paid programs.Click here to watch the full episode on YouTubeTimestamps00:00 Recap: how AI is squeezing entry-level jobs01:23 Be a genuinely good human02:06 AI resumes are garbage in, garbage out03:36 The real first test in any interview06:42 Why generic AI LinkedIn messages get ignored11:06 Do your recon before you reach out11:23 The 80/20 rule of conversation14:40 The scorecard: how first impressions cost you points16:13 Advice to his younger self24:47 Go back and listen to EP152 for the LinkedIn strategy26:22 Subject yourself to failure37:53 Measuring success by the decade, not the week39:18 Ten years to build the skillset, then a student lands $163K in two months40:25 Ryan's own story: $53K to $185K45:48 Why stacking real skills beats faking it with AI47:28 The one tactical thing before you reach out54:15 Don't be the NPC, be the value add54:53 Sales is human psychology56:08 Where to find the course and free training58:24 Sign offWhat did you think about this episode?--------------------------------Get the First Sip Field Notes: A weekly newsletter for curious people building better businesses, careers, and lives. You'll also get a free tool to help you decide if that idea you're sitting on is actually worth building.https://firstsipfieldnotes.beehiiv.com/subscribeCONNECT WITH DEKIMBE: YouTubeInstagram  Facebook LinkedInFOLLOW THE PODCAST:InstagramApple PodcastsSpotifyFor podcast sponsorship & advertising opportunities please contact: firstsippod@gmail.com

What happens when consistency stops serving the mission and starts becoming an obligation? After more than 200 episodes of the Level Up + Live Podcast, I caught myself asking a question I think every entrepreneur and leader eventually needs to ask: Am I doing this because it still matters—or because I've always done it? In this episode, I unpack something I've been wrestling with personally: the difference between meaningful consistency and simply checking the box. I've felt the pressure to always have the next podcast ready. I've held business meetings because that's what we'd always done. I've kept habits long after they stopped serving the person I was trying to become. And eventually I realized: Meaningful consistency beats empty consistency. Consistency matters. Discipline matters. Measuring what matters. But only when it's connected to the mission. In this episode, we unpack: When discipline quietly becomes obligation Why some of our strongest habits eventually need to change How to recognize when you're producing just to produce Why leaders need to continually evaluate meetings, routines, and commitments The hidden cost of saying yes to things that no longer serve the mission Why protecting the mission matters more than protecting the metric Here's the question I want you to leave with: What are you still producing that no longer serves your mission? Your time and energy are two of your greatest resources. Don't spend them simply checking boxes. Protect the mission. Not just the metric. If this episode challenged you, share it with another entrepreneur, business owner, or leader who needs to hear it. And if you're looking for a room where business owners challenge one another to grow—not just in business, but in leadership, health, relationships, and life—we'd love to have you experience the Level Up + Live Mastermind as our guest. Be Our Guest: https://www.levelupandlive.com/lul-mastermind-group

When every AI company starts sounding the same, creativity becomes a competitive advantage. In this episode, Ashley McGovern, Director of Marketing at Nurture Boss, explains how she uses books, print materials, direct mail, and cinematic commercials to make an abstract technology feel more concrete. Ashley shares how NurtureBoss stands out in the crowded PropTech market by speaking its audience's language instead of relying on technical features, generic AI messaging, and predictable B2B campaigns. Ashley also discusses why marketers may need to rewrite the traditional inbound playbook, especially when selling to niche audiences that do not follow a linear buying journey. She explains how Nurture Boss turned its CEO's book into a company-wide sales and thought leadership resource, why she plans distribution before creating a campaign, and how she measures creative brand work when direct attribution is difficult . Key Takeaways: Why creativity is a competitive advantage in the AI era How print makes an abstract product feel more concrete Why niche audiences require a different marketing playbook Timestamps: (00:00) Introduction (01:09) Meet Nurture Boss marketer Ashley McGovern (04:15) From healthcare marketing to PropTech (07:33) Marketing AI to a niche audience (09:19) Why Nurture Boss chose bold campaigns (11:36) Rewriting the traditional inbound playbook (13:52) Why conventional B2B content stopped working (15:43) Convincing a technical CEO to write a book (17:30) Making abstract AI feel concrete (18:42) Turning a book into a company resource (21:19) Building memorable print campaigns (23:43) Measuring creative brand marketing (26:58) Staying human in the age of AI Check out the ebook " Trust Issues: How SaaS and AI-Native Brands Can Beat AI Credibility Fatigue" by PANBlast: https://www.panblastpr.com/resources/trust-issues-ai-credibility-ebook/  

Are marketers getting better at measuring activity while getting worse at understanding value?In this edition of The Barber's Brief, Vassilis and Marc unpack four marketing debates that caught their attention.First, the agency industry's truth-in-pricing problem: agencies teach clients to build premium brands while continuing to sell their own expertise through hours and headcount. As AI changes how quickly work gets done, what should clients actually be paying agencies for?Then, a provocative challenge to Byron Sharp and the Ehrenberg-Bass school of thought: if mental and physical availability are table stakes, what actually allows a brand to break away from the competition and win?The conversation then turns to attribution vs. incrementality, and why creators, affiliates and reviews can appear to generate revenue without necessarily creating incremental demand.Finally, we explore pricing power and the idea that the biggest danger isn't failing to become a premium brand. It's losing the ability to set your own price.And for Ad of the Week, Spotify shows how data, culture and great outdoor creative can create personalization at scale without needing to personalize advertising to individuals.In this episode:Why agency pricing may be fundamentally brokenWhat AI means for the billable-hour modelMental and physical availability vs. competitive strategyRoger Martin's “Where to Play / How to Win”Attribution vs. incrementalityThe changing role of creator and review contentWhy pricing power is really permissionSpotify's hyperlocal OOH campaignWhy creative can be the targeting mechanismChapters:00:00 Welcome to the Barber's Brief01:23 The Marketing Industry's Truth-in-Pricing Problem03:36 What Should Clients Actually Pay Agencies For?06:54 Why the Agency Model Is So Difficult to Change09:14 Will AI Actually Reduce Agency Costs?11:04 The Mental & Physical Availability Trap14:52 What Actually Helps a Brand Win?16:06 Breaking Out When Every Competitor Plays the Same Game18:58 Attribution vs. Incrementality in Creator Marketing21:18 How Creator Content Changes Value Over Time22:49 Do We Have Too Much Attribution Data?24:23 Pricing Power: Permission, Not Intent28:20 Have Discounts Trained Consumers to Wait?31:28 Ad of the Week: Spotify's Hyperlocal Playlists33:56 Why Spotify Gets Personalization Right35:41 What's Coming Next37:12 Stay SharpLinks:The marketing industry's truth-in-pricing problem (and why adland is to blame) Link: https://www.mediaweek.com.au/marketing-industry-truth-in-pricing-problemOff Kilter 232: The Availability Trap.Link: https://offkilter.substack.com/p/off-kilter-232-the-availability-trapHow to measure the true value of creators and review contentLink: https://searchengineland.com/value-creators-review-content-485028Pricing PowerLink: https://www.linkedin.com/posts/mary-kyriakidi-4a5a4a57_when-i-talk-about-pricing-power-the-question-share-7496127277890568192-nzTS/Ad of the Week - SpotifySpotify turns playlist names into hyper-local punchlinesLink: https://www.thedrum.com/news/ad-of-the-day-spotify-turns-playlist-names-into-hyper-local-punchlines

We started with trading cactus pads and ended with barcode price tags, but today we face the final boss of capitalism: an invisible thief called inflation. In the grand finale of our Illusion of Value trilogy, host Marcos Lopez breaks down why your paycheck is on a forced diet, how shrinkflation sells you fancy bags of air, and why the money printer is quietly robbing your 9-to-5 while you sleep. Grab your coffee, lock in, and let's figure out where your purchasing power went before the price of this episode goes up.#Economics #Inflation #Money #Shrinkflation --------------------------------------------------THE ILLUSION OF VALUE TRILOGY:Part 1: Why Money is a Shared Hallucination (OOF 121)Part 2: Why America Stopped Haggling (OOF 122)Part 3: Why Your Dollar is Vanishing (OOF 123)--------------------------------------------------CHAPTERS:(00:00) Introduction to inflation and its effects(01:51) Money supply, demand, and the paper money switch(03:57) Measuring inflation with the consumer price index(05:59) Sneaky store tricks: shrinkflation and quality cuts(06:59) How companies hide price hikes and manipulate perception(09:00) The uneven impact of inflation on different groups(09:51) Asset owners versus wage earners in inflationary times(10:57) The borrower's advantage and hyperinflation risks(11:56) Tools central banks use to control inflation(12:56) Summary and practical advice for listeners--------------------------------------------------☕ SUPPORT THE SHOW:Researching and producing these deep dives takes a frankly unhinged amount of high-grade caffeine. If you want to keep our studio mic hot and support independent, ad-free breakdowns, consider buying me a coffee:

Get the 200+ Page Optimal Living Daily Workbook (PDF) - Free. Want to turn today's episode into an actionable plan? Join the Optimal Living Weekly newsletter and I'll send you our 200-page digital workbook immediately. It's packed with the best takeaways from the show, formatted for easy reading and implementation at home. Get your free PDF workbook here: https://oldpodcast.eo.page/join Discover all of the podcasts in our network, search for specific episodes, get the Optimal Living Daily workbook, and learn more at: OLDPodcast.com Episode 2154: Malia Bradshaw explains how a lifetime of chasing perfect scores and accolades left her feeling worthless the moment each achievement wore off. She shares the four practices that helped her separate self-worth from accomplishment, including redefining success on her own terms and meditating on the part of herself that never changes. The result is a steadier foundation for career success that does not depend on the next line of a resume. Read along with the original article(s) here: https://tinybuddha.com/blog/how-stop-measuring-worth-in-achievements/ Quotes to ponder: "I had to learn that my worth runs so much deeper than what I can prove through achievement." "Success doesn't have to mean money or recognizable accomplishment." "As I was busy chasing some unattainable dream of success, I didn't realize I had it all along." Optimal Work Daily is a daily career advice podcast where we narrate the best articles on productivity, entrepreneurship, and work-life balance, read to you by a professional narrator so you can grow your career a little more every day. Learn more about your ad choices. Visit megaphone.fm/adchoices

Your app or online calculator is likely wrong about calories for fat loss.It can be off by a few hundred calories, and your wearable is even worse. We challenge typical advice by showing how inaccurate maintenance calorie estimates can derail your fat loss before it even starts. I share my 7-week runway that uses consistent tracking to measure your real energy needs so you can execute a calorie deficit with confidence instead of guesswork. Why calculator-based maintenance calories can be off by hundredsHow activity multipliers and wearable calorie burn estimates amplify the errorWhy self-logged intake commonly gets underreportedThe intake-balance method to back-calculate true energy expenditureA 7-week pre-fat loss structureProtein and carb adjustments that support recovery and better training What to do if expenditure trends up, stays flat, or trends downIf you want your next fat loss phase to be the first one you don't have to "guess" your way through, hit play!Join Eat More Lift Heavy, my 26-week coached program for 40+ to build the nutrition and training skills to preserve muscle, lose fat, and manage your physique for life:https://eatmoreliftheavy.comUse code 500CLUB at checkout for $50 off either six-month option through Sunday, September 6Timestamps:0:00 - Why your fat loss calories are wrong before you start 4:32 - 9 weeks of effort with nothing to show for it 6:50 - What a calculator knows about you vs. what it doesn't 8:38 - Why your wearable or watch is terrible at estimating calories 10:01 - What food logging research says about calorie intake 12:24 - Measuring your expenditure from your own body 14:47 - Working through the fear of eating more 17:10 - Weeks 1 and 2, logging without changing anything 20:56 - Weeks 3 and 4, bringing your intake up 22:21 - Weeks 5 through 7, holding it steady 23:29 - Reading your expenditure trend at week 7 29:22 - Bonus: 2-week logging protocol and the weekend gapEpisode Resources:Try MacroFactor - the app I use for expenditure tracking. Use code WITSANDWEIGHTS for two weeks freeTry Fitness Lab - my AI coaching app, now with full meal coaching and 20% off exclusive to podcast listeners

Recovery efforts continue on Hawaiʻi Island after Lala while Moke makes its way across Molokaʻi; recently appointed Honolulu Police Chief David Lazar talks public safety after Lala took out power on Oʻahu.

How can better measurement of MCS and chemical intolerance help reduce misunderstanding, missed cases, and misdiagnosis?In this episode of The Chemical Sensitivity Podcast, Aaron Goodman speaks with Raymond F. Palmer, PhD, a biostatistician and research professor at the University of Texas Health Science Center at San Antonio who has studied chemical intolerance for more than a decade.You'll hear:Why better recognition may help address misunderstanding and misdiagnosisHow the QEESI can help identify and measure MCS and chemical intoleranceThe TILT model and the potential role of environmental exposuresResearch into genetics, mast-cell activation, and biomarkersWhy listening to patients and improving recognition matterA conversation about how researchers are working to better measure and understand MCS and chemical intolerance — and why doing so could help change how people with the illness are recognized and treated.Links:The QEESI (Quick Environmental Exposure and Sensitivity Inventory)Raymond Palmer, PhDSupport the showThank you very much to the Marilyn Brachman Hoffman Foundation generously supporting the podcast!If you find the podcast helpful, please consider becoming a monthly or one-time supporter:https://www.chemicalsensitivitypodcast.org/1970633/supporters/newhttps://buymeacoffee.com/mcspodcast  Follow the podcast on YouTube!  Captions available in any language. Please follow the podcast on social media:FacebookInstagramXBlueSkyTikTok

In this episode of BioTalk with Rich Bendis, Matt Adams, Chief Executive Officer of BrainScope, joins the conversation to discuss how the Rockville-based company is working to bring objective brain function measurement into real-world clinical care.   Matt shares how BrainScope is using EEG-based technology and artificial intelligence to help decode brain electrical activity and provide clinicians, patients, and care teams with simple, actionable information. He explains why objective data is especially important in brain health, where many assessments can still be subjective, difficult to scale, or dependent on more expensive infrastructure.   The conversation also looks at BrainScope's evolution since winning the BioHealth Capital Region Crab Trap Competition in 2020. Matt discusses how the company has moved from a point-of-care EEG technology focused on traumatic brain injury into a broader AI-enabled brain health platform with potential applications across concussion, brain bleeds, dementia, Alzheimer's disease, and other neurological conditions.   Rich and Matt also discuss BrainScope's FDA-cleared technology, its growing clinical and regulatory foundation, and how the company is using machine learning, deep learning, and a large EEG database to expand what can be measured in brain health. Matt highlights the company's work in Alzheimer's prediction, including data suggesting the potential to identify risk years before typical clinical diagnosis, as well as the opportunity to support longitudinal monitoring and improved CNS trial design.   The episode also looks ahead to BrainScope's next phase, including expanded disease applications, partnerships with clinicians and sports medicine organizations, potential use in clinical trials, global market opportunities, and the company's continued growth in the BioHealth Capital Region.   Editing and post-production work for this episode was provided by The Podcast Consultant.   Matt Adams brings more than 25 years of global healthcare leadership experience developing, commercializing, and scaling medical device, biotechnology, diagnostic product, and service businesses. He currently serves as Chief Executive Officer of BrainScope, a tech-enabled AI software platform focused on brain health. Before joining BrainScope, Matt was President of Invio Automation, a global life science-focused process automation provider. He previously served as Vice President and General Manager of Cerevention, a neuro startup that developed and commercialized platforms to diagnose and treat hemorrhagic stroke and other diseases of the central nervous system. He has also held executive roles at Rebiotix, Cirle, and American Medical Systems. Matt received his eMBA from the University of Minnesota, a Master of Science in Biomedical Engineering from the University of Minnesota, and a Bachelor of Science in Mechanical Engineering from the University of Alaska.

What separates thriving medical practices from those that struggle to grow?It isn't better credentials.It isn't working longer hours.And it certainly isn't spending more money on marketing.In this episode of Limitless MD, Dr. Vikram Raya sits down with Limitless MD's Director of Marketing, Rohan Saxena, to unpack the marketing strategies that are helping physicians attract more patients, build authority, and grow sustainable businesses in the age of AI.Together, they discuss why many doctors unknowingly waste time and resources on ineffective marketing tactics, how artificial intelligence is transforming the industry, and why the future belongs to physicians who educate rather than advertise.From building referral networks and personal brands to understanding marketing funnels, data, and AI tools, this episode delivers a practical blueprint that physicians can begin implementing immediately—whether they're launching a new cash-pay practice or scaling an established business."The best marketing doesn't feel like marketing—it feels like education." — Rohan SaxenaIn This EpisodeWhy AI is making marketing more valuable—not lessThe biggest marketing mistakes physicians makeHow to identify your ideal patientWhy positioning matters more than advertisingBuilding authority through educational contentCreating a physician referral network that compounds over timeUnderstanding marketing funnels and conversion metricsHow to use data to make smarter business decisionsThe role of Google, AI search, and social media in patient acquisitionEssential technology every modern practice should haveHiring the right marketing agency or teamThe biggest constraints preventing practices from growingKey TakeawaysAI Is Changing Marketing—Not Replacing ItArtificial intelligence allows physicians and marketers to create better content, websites, presentations, and campaigns faster than ever before. The competitive advantage now comes from strategy, positioning, and execution—not simply creating content.Focus Creates GrowthMany physicians try to market every service to every patient. Instead, identify your highest-value services and build your marketing around the patients who benefit most from them.Education Builds TrustThe most effective marketing doesn't pressure patients—it educates them. Teaching prospective patients about their problems and available solutions naturally builds authority and credibility.Referral Networks CompoundOne patient referral is valuable.One referring physician can generate patients for years.Building relationships with other physicians creates one of the most powerful long-term growth engines for any medical practice.Data Should Drive Every Marketing DecisionWithout tracking your numbers, marketing becomes guesswork. Measuring every stage of your funnel—from leads to appointments to conversions—helps identify bottlenecks and dramatically improve growth.About Rohan SaxenaRohan Saxena is the Director of Marketing at Limitless MD and specializes in AI, marketing strategy, content creation, paid advertising, and business growth systems.Throughout his career, Rohan has built more than 1 million organic followers, managed over $400,000 in profitable advertising spend, and helped grow Limitless MD's annual revenue from approximately $700,000 to more than $2 million within his first year.He works with physicians and entrepreneurs to build scalable marketing systems that generate long-term growth through strategic positioning, AI implementation, and educational content.Connect with Vikram:

This is an Impact Pricing Blog published on June 8, 2026, turned into an audio podcast so you can listen on the go. Read Full Article Here: https://impactpricing.com/blog/stop-measuring-wtp-start-shaping-it/ If you have any feedback, definitely send it. You can reach us at mark@impactpricing.com.  Now, go make an impact.   Connect with Mark Stiving: Email: mark@impactpricing.com LinkedIn: https://www.linkedin.com/in/stiving/  

Your highest-impact employee may not have the biggest title, loudest voice, or most visible role. So why do traditional performance systems keep overlooking them? Nikki sits down with Jacob Chase, founder and CEO of The INFIN, to explore a new way to measure human contribution. Jacob explains how decentralized feedback, collective intelligence, and real-time performance data can reveal who is truly creating value across an organization. They unpack the limitations of traditional reviews, the growing impact of AI on employee performance, and why real meritocracy begins when people are rewarded for the value they create. This conversation challenges people-first leaders to move beyond rigid scorecards, recognize invisible contributions, and build workplaces where serving others drives individual and organizational success.   Additional Resources: Connect with Jacob on LinkedIn Reach out for a free pilot implementation at https://www.theinfin.com/ Watch Gut + Science (and more) on YouTube! Connect with Nikki on LinkedIn Follow PeopleForward Network on LinkedIn Learn more about PeopleForward Network   Nikki's Key Takeaways: Visibility does not equal value. Collective feedback uncovers hidden impact. AI is widening performance gaps. Serving others increases workplace value. Real-time insights personalize development.

For 21 August 2026, Memorial of Saint Pius X, Pope, based on Matthew 22:34-40, sent in from Croton-on-Hudson, NY, USA.

But how many actually know what those kernels are worth? In this episode of What's Working in Ag, Shianne from BranValt explains how the SmartPan harvest loss system helps farmers move beyond visual estimates and accurately measure the grain leaving the back of the combine. The discussion covers how the magnetic SmartPan captures real-time grain samples, how the accompanying app converts those samples into bushels, percentages, and dollars, and why calibrating your combine's loss sensors is critical for making informed adjustments during harvest. Using real-world examples, the Farm4Profit crew walks through soybean and corn scenarios showing how relatively small harvest losses can quickly become thousands of dollars across an operation. The conversation also explores balancing grain quality with harvest speed, automation, and why "you can't manage what you don't measure." Topics include: Combine harvest loss SmartPan technology Grain loss monitoring Harvest efficiency Combine calibration Soybean harvest Corn harvest Precision agriculture John Deere automation Yield preservation Harvest ROI Farm profitability Grain loss calculations Precision harvesting If you're looking for one of the fastest ways to improve profitability without buying another acre, this episode demonstrates why measuring harvest loss should be part of every harvest routine. Want Farm4Profit Merch? Custom order your favorite items today!https://farmfocused.com/farm-4profit/ Don't forget to like the podcast on all platforms and leave a review where ever you listen! Website: www.Farm4Profit.comShareable episode link: https://intro-to-farm4profit.simplecast.comEmail address: Farm4profitllc@gmail.comCall/Text: 515.207.9640Subscribe to YouTube: https://www.youtube.com/channel/UCSR8c1BrCjNDDI_Acku5XqwFollow us on TikTok: https://www.tiktok.com/@farm4profitllc Connect with us on Facebook: https://www.facebook.com/Farm4ProfitLLC/Farm4Profit Media is not a financial, legal, or tax advisor. Content is provided for informational purposes only, and we serve solely as a platform for third-party opinions. Any actions taken based on this content are at your own risk. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

#SecurityConfidential #DarkRhiinoSecurity Dr. Blake Curtis is a cybersecurity governance leader, research scientist, author, and adviser specializing in AI governance, risk management, auditing, and workforce development. He is the author of ISACA's CISM 17th Edition. Through his work across government, healthcare, commercial, and international organizations, Dr. Curtis helps organizations strengthen governance while developing more effective ways to identify and build cybersecurity talent.00:00 Intro02:10 Our Guest07:03 Is Personal Development or a Title in a company more meaningful?09:59 Managing cultural differences and soft skills14:44 Understanding AI governance and its challenges17:44 Using AI agents in customer support and data access32:16 Educating people about psychological manipulation and AI35:05 The fallacy of experience and certifications48:47 More about Blake----------------------------------------------------------------------To learn more about Blake visit https://www.linkedin.com/in/reginaldblakecurtis/To learn more about Dark Rhiino Security visit https://www.darkrhiinosecurity.com

In this episode Tara answers common questions about sustainable weight loss, including calorie deficits, protein, menopause, holiday weight gain, weight-loss medications, and overcoming a fitness rut. She emphasises keeping things simple, focusing on one habit at a time, and building lasting progress through education, accountability, and consistent action. What You Will Learn In This Episode: Learn the fundamentals of calorie control Fat loss can become more difficult near the end Holiday weight gain is not always fat gain Measuring pasta and understanding protein Menopause does not make weight loss impossible How to get out of a rut And More   How To Contact Tara Hammett: tarahammett.com Facebook  

In today's episode, I sit down with Blaine Bartlett to discuss the danger of measuring the wrong things in business and leadership. We break down why revenue, quarterly performance, and dashboards only tell part of the story, while trust, engagement, loyalty, culture, and communication shape long-term success. Blaine explains the difference between leading and lagging indicators, the value of measuring fulfillment, and why strong relationships remain one of an organization's greatest invisible assets. We also discuss how the right metrics influence behavior, build customer loyalty, strengthen employee retention, and help leaders develop great people before chasing better numbers or sacrificing the future for short-term results.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What happens when you stop chasing finish lines and start chasing experiences? In this episode of Run the Riot, I sit down with Josh Sprague, founder of Orange Mud, for a conversation about ultrarunning, adventure racing, hydration, fueling, gear, strength, and why our relationship with endurance sports can change over time. Josh started Orange Mud after getting frustrated with the hydration options available to endurance athletes. His philosophy was simple: innovation from frustration. If he couldn't find the gear he wanted to use, he'd build it himself. That same willingness to experiment has followed Josh through hundreds of endurance events, including ultramarathons, adventure races, triathlons, mountain bike races, gravel events, and multi-day adventures. We get into some practical stuff every ultrarunner can use. Josh shares why he developed a habit of drinking every 15 minutes, how he measures exactly how much fluid he's getting from a hydration bladder, why he tests different flavors of the same nutrition product, and why he'll intentionally train with warm fluids before a hot race. We also talk about training your gut for ultra racing. Josh has learned the hard way that race day isn't the time to suddenly start eating everything that looks good at an aid station. If you plan to eat quesadillas, pizza, pickles, or other real food during your ultramarathon, you'd better find out during training how your stomach handles it. Of course, Josh also tells one of my favorite fueling stories I've heard in a while: carrying a Meat Lovers pizza around during an adventure race and eventually using it to fuel a charge up and over a mountain. But my favorite part of our conversation may be what happens when we move beyond training and racing. After years of chasing bigger distances and checking races off his list, Josh has found himself wanting something different. He wants to experience the adventure. We talk about the pressure of Strava, skipping time with friends because the training plan says you need to do intervals, stopping to look for arrowheads, and learning that not every run needs to produce an impressive number. Josh even tells the story of running right beside the Queen Mary during a race without ever noticing the enormous ship. There's probably a lesson in there for all of us. Don't get so focused on the finish line that you miss where you are. We also talk about Josh's simple challenge of completing at least 500 push-ups every week. What started as a small goal has now lasted more than a year, and Josh believes the added strength has made a noticeable difference in his running, cycling, paddling, and overall health. And somewhere along the way, we manage to talk about copperheads, Taco Bell, gas-station food, pickles, a 100-mile bike ride that was supposed to be 30 miles, and an incredible experience Josh had with his late golden retriever, Lady, during a 720-mile bike race. It's a fun conversation with a guy who understands that sometimes the best adventures are the ones that don't go according to plan. In This Episode How Josh started Orange Mud Innovation from frustration Adventure racing and ultrarunning Drinking every 15 minutes during endurance events Measuring your hydration rate Sodium and electrolytes for long races Training your gut for race-day nutrition Liquid calories versus real food Pizza as adventure-race fuel Why pickles can be so good during an ultra Josh's favorite trail race His incredible experience with Lady during a 720-mile bike race Competing versus experiencing The Strava trap Staying adventurous as we get older Josh's 500-pushup-per-week streak Why ultrarunners need strength training Connect with Josh Orange Mud:https://www.orangemud.com/ Run the Riot Coaching Have a big ultrarunning goal but aren't sure how to put all the pieces together? I coach runners preparing for their first or furthest ultramarathon with individualized training, accountability, race strategy, and guidance along the way. Learn more:http://www.theriot.run/coaching Thanks to Mount to Coast for supporting the Run the Riot Podcast. I've been training in the R1 road shoe and T1 trail shoe and have been impressed with their comfort and durability over the miles. Use code RIOT10 to save 10% on your order. If you enjoyed the conversation, follow the podcast and share this episode with another runner who needs to hear it. #runtheriot #ultrarunning #ultrarunner #trailrunning #trailrunner

Measuring what matters with AI-driven monitoring and processing tools is becoming fertile ground for legal risks in the workplace. In this We Get AI episode, co-hosts Eric Felsberg and Joe Lazzarotti examine how AI-driven productivity tools can trigger New York City's Automated Employment Decision Tool law and other privacy requirements. 

What's something you want to see from the Niners this week in a joint scrimmage with the LA Chargers this week?

Enterprise leaders are facing a massive dilemma: AI bills are exploding, yet finance leaders are struggling to see where any of that money is coming back to the business. But are companies making a fundamental mistake by treating AI like just another IT project chasing quick savings? This week on the podcast, Cody Stack (VP, Data & Analytics) is joined by Geraint John (VP, Research & Advisory) and Justin Gillebo (Senior Director, Research & Advisory) to unpack why it's time rethink the true value of AI. Drawing from real-world examples – from Walmart's autonomous tail-spend agents to multi-hundred-million-dollar commodity cost intelligence – they challenge the trap of chasing isolated 90-day ROI and simple headcount cuts. Instead, they outline how mature operators are managing token costs, metrics like decision latency, and end-to-end workflow orchestration to move past quick-win science fairs and build true, lasting enterprise value.

Aptos Labs CEO and co-founder Avery Ching joins David Sencil to unpack how regulation, AI, and blockchain infrastructure are shaping the next phase of crypto and global finance.Ching explains why regulatory clarity in the U.S. matters for developers, how the Clarity Act could influence America's competitiveness in blockchain and AI, and why clearer protections are needed to distinguish software builders from financial intermediaries.The conversation also dives into the growing role of AI in blockchain security. Ching breaks down how Aptos uses the Move programming language, layered defenses, human researchers, and AI agents to review code, uncover vulnerabilities, and reduce attack surfaces.They also explore what meaningful on-chain economic activity actually looks like, the difference between productive TVL and incentive-driven growth, and why institutional adoption and tokenization could become major drivers of blockchain's next chapter.Topics include: Why crypto regulation matters for blockchain innovation Developer protections under emerging U.S. regulation How AI is changing blockchain security Aptos, Move, and layered security defenses Human researchers working alongside AI agents Measuring real on-chain economic activity Productive TVL vs. incentive-driven activity Institutional blockchain adoption Tokenization and the future of financial markets Aptos Labs' next priorities Whether you're interested in crypto regulation, AI security, blockchain infrastructure, or the future of finance moving on chain, this conversation offers a look at how Aptos is preparing for what comes next.

Big Brothers Big Sisters has been collecting data for 120 years. When an economist finally studied it, the case for support changed completely: young people who were mentored are 20% more likely to attend college and earn 15% more.Ginneh Baugh, Chief Impact Officer at Big Brothers Big Sisters of America, has spent two decades helping nonprofit leaders measure what actually matters. Her system is three steps — know your data, show it as a story, grow the movement around it.

Send us Fan MailWhat if one of the most important things we assess in healthcare is also one of the things we measure least objectively?This week on Leave Your Mark, I sit down with Dr. Ryan Comeau, chiropractor, former NCAA Division I hockey goaltender, founder of Kinetisense, and creator of the NeuroPlanar Method.Ryan's journey begins in sport, where years in the crease taught him about grit, adaptability, and the difference between quitting and pivoting. Injuries eventually changed the direction of his athletic career. Still, they also led him toward healthcare and a question that would ultimately shape his professional life: Why are we still assessing human movement primarily with our eyes and tools that have existed for centuries?That question led Ryan to build Kinetisense, a clinical-grade 3D markerless motion-capture platform designed to give practitioners objective movement data while augmenting, rather than replacing, clinical expertise.Our conversation explores Ryan's evolution from athlete to clinician to entrepreneur; the challenges of bringing new technology into healthcare; the NeuroPlanar Method; planar plasticity; early sport specialization; and what three-dimensional movement data can reveal that our eyes may miss.We also get into something I find particularly interesting: how objective technology might help us validate, challenge, and ultimately sharpen the clinical observations experienced practitioners have developed over decades.A fascinating conversation about movement, measurement, entrepreneurship, and the willingness to keep asking better questions.EnjoyIf you liked this EP, please take the time to rate and comment, share with a friend, and connect with us on social channels IG @Kingopain, TW @BuiltbyScott, LI+FB Scott Livingston. You can find all things LYM at www.LYMLab.com, download your free Life Lab Starter Kit today and get busy living https://lymlab.com/free-lym-lab-starter/Please take the time to visit and connect with our sponsors, they are an essential part of our success:www.ReconditioningHQ.comwww.FreePainGuide.com 

Episode # 314 Pool Nation Podcast. What if one pool deck job could put $10,000 in profit into your business in less than three days? In this episode of the Pool Nation Podcast, Edgar De Jesus and John “JJ Flawless” sit down with Jeff Morrow Jr. of Encore Brands and The Cool Pool Deck Coating to uncover one of the biggest overlooked revenue opportunities in the swimming pool industry: pool deck renovation. Pool service professionals walk through backyards every single day looking at pumps, filters, heaters, automation, water chemistry, and repairs. But what if one of the most profitable opportunities is something you're already walking across? Jeff explains how pool service companies can add pool deck resurfacing and renovation without becoming a full-scale construction company, buying expensive grinding equipment, or building an entirely new crew. The opportunity is simple: generate more revenue from customers you already have. Instead of adding more pool accounts, more trucks, more technicians, and more overhead, pool professionals can identify the right existing customers and offer a high-margin service that solves a real homeowner problem. Jeff shares how the Cool Pool Deck Coating was developed as a cement-based coating system that can be installed using standard brushes and rollers. He explains the difference between traditional knockdown pool deck systems, ordinary concrete paint, and a system designed specifically for pool deck environments. You'll also hear the incredible story of a 9,000-square-foot HOA pool deck project Jeff completed while his business was still struggling. Without his own crew or specialized equipment, he hired local help, completed the project in four days, and walked away with a $36,000 check. Today, Jeff teaches pool professionals how to recognize these same opportunities in their own businesses. In this episode, you'll learn: • Why pool deck renovation may be one of the most overlooked profit opportunities for pool service companies • How to generate more revenue from customers you already have • Why you don't necessarily need specialized equipment or a large construction crew • The difference between traditional knockdown coatings, ordinary paint, and cement-based pool deck coatings • How Jeff turned a 9,000-square-foot HOA project into a $36,000 job • How a pool deck project can potentially generate thousands of dollars in profit in just a few days • How to identify the “cherry” pool decks that may be ideal renovation opportunities • The warning signs that should make you walk away from a pool deck project • How to check bare concrete for efflorescence and potential moisture issues • Why older knockdown pool decks can represent a major resurfacing opportunity • How pool professionals can become the project manager instead of doing every part of the job themselves • The simple three-step process: Clean It. Coat It. Seal It. • How custom colors can completely transform a customer's backyard • Why commercial pools, HOAs, hotels, resorts, and residential pools can all represent opportunities • How adding just two or three pool deck projects per year could dramatically impact your company's profitability If you're a pool service professional, pool repair company, pool builder, pool contractor, swimming pool technician, or pool business owner looking for ways to increase revenue, improve margins, and grow without simply adding more weekly service accounts, this episode is for you. The next opportunity for your pool company may not be inside the equipment room. It may be the surface you're walking across every single day. ⏱️ EPISODE TIMESTAMPS 00:00 Welcome to the Pool Nation Podcast 01:00 The opportunity hiding in your existing pool customers 03:00 Special midweek episode with Jeff Morrow Jr. 07:00 Pool Nation announcements and what's coming next 09:00 Upcoming Pool Nation and Hayward training 14:00 Meet Jeff Morrow Jr. and Encore Coatings 17:00 Starting a business during the recession 19:00 The challenge of introducing a new product to contractors 21:00 How YouTube and online sales changed the business 23:00 Why Encore moved from wood decks to pool decks 25:00 The “turbocharger” opportunity for pool service companies 28:00 Why pool pros often avoid pool deck renovations 31:00 Why John changed his mind about pool deck coatings 35:00 What makes the Cool Pool Deck Coating different from paint 37:00 The cement-based technology behind the coating 38:00 When pool pros should walk away from a deck 39:00 Growing revenue without adding more pool accounts 41:00 How to learn more about the Cool Pool Deck Coating 43:00 Sponsor break 48:00 Pool deck heat and the commercial market opportunity 50:00 Testing the coating at a major resort 51:00 The incredible barefoot pool deck reaction 53:00 How the heat-reduction technology works 54:00 Custom colors and matching a homeowner's backyard 57:00 The pool deck job that changed Jeff's financial situation 58:00 Taking on a 9,000-square-foot HOA pool deck 1:00:00 Completing the job in four days and collecting $36,000 1:01:00 How to subcontract the work and become the project manager 1:02:00 The economics behind a $10,000-profit pool deck job 1:03:00 How the same HOA deck held up years later 1:05:00 The “Knockdown Dilemma” 1:08:00 Millions of aging pool decks and a massive opportunity 1:09:00 The picture-perfect profitable pool deck 1:10:00 How to identify the best pool decks on your existing route 1:11:00 Red flags pool professionals need to recognize 1:12:00 Efflorescence and concrete problems explained 1:13:00 How to test a pool deck for moisture issues 1:16:00 The three-step system: Clean It, Coat It, Seal It 1:17:00 Tools and installation process 1:18:00 Measuring pool decks remotely and estimating materials 1:20:00 Sponsor break 1:25:00 Why pool deck renovation can be a high-margin add-on 1:27:00 Contractor pricing and potential margins 1:29:00 Start getting your share of pool deck renovation revenue 1:30:00 John's message to pool service professionals 1:32:00 Pool Nation proposes a real-world hands-on pool deck class 1:34:00 Commercial pool renovation season and final thoughts 1:35:00 Closing THANK YOU TO OUR VISIONARY PARTNERS The Pool Nation Podcast is made possible by the incredible companies that continue to support Pool Nation and the swimming pool industry: SPPA BlueRay XL AquaStar Pool Products Natural Chemistry Raypak OnCore Filtration Heritage Pool Supply Hayward Pool Products Poolside Tech Pool Brain Nidec / U.S. Motors The Cool Pool Deck Coating / Encore Brands Thank you to every one of our partners for investing in the education, growth, and success of pool professionals. ABOUT POOL NATION Pool Nation is dedicated to helping swimming pool professionals Master the Business and Perfect the Craft. From pool service and repair to water chemistry, construction, leadership, business growth, profitability, training, and the latest pool industry products and technology, Pool Nation is committed to elevating the swimming pool industry and helping pool pros build stronger, more profitable businesses. Subscribe to the Pool Nation Podcast and share this episode with another pool professional who needs to stop leaving money in the backyard.

John Martinis won the 2025 Nobel Prize in Physics for proving macroscopic quantum tunneling is real. Less than a year later he's telling why he left Google's quantum computing team to start over. Subscribe if you want the physics and the politics of building the impossible. Martinis is the co-founder of Colab and one of the physicists who proved ordinary quantum rules apply to macroscopic systems. He built his career on the same Josephson-junction hardware his Nobel is built on, then led Google's superconducting-qubit effort, the same team behind Google's 2019 quantum supremacy claim, before an internal reorg pushed him out. We go into Anthony Leggett's challenge to Schrödinger's cat, what decoherence in quantum mechanics really means, and whether quantum computing is the first technology ever born from pure theory rather than experiment. We also cover the internal Google reorg that pushed Martinis out and what he learned about building something new inside a large institution. Whether quantum mechanics applies to the macroscopic world and what it took to prove it Why Martinis thinks quantum computing may be the first technology born from pure theory, not experiment What negative authority means and why it matters for anyone building something new inside a large institution Whether the US can win the quantum computing race against China How Martinis thinks about quantum mechanics interpretations after spending a career inside the math “Always be on the lookout for the impossible, right?” John Martinis CHAPTERS 00:00  The Nobel call that almost wasn't 01:01  How his wife found out before he did 03:32  Anthony Leggett's challenge to Schrödinger's cat 05:53  Why a Josephson junction, not a quantum dot or trapped ion 07:45  Quantized oscillations: the “smoking gun” and Balmer's ghost 08:18  Measuring the system: the resonance experiment 11:21  Systematic effects: what separates a good scientist from a lucky one 13:42  The Ed Ohm story: the man who found the CMB and doubted it 15:01  Wigner's “unreasonably effective” math and the weirdest thing about QM 16:54  The transistor myth: chewing gum, coat hangers, and germanium 17:34  Microwave engineering meets quantum mechanics 19:26  Decoherence: the friction you can't live without 24:06  The heretical claim: does theory ever precede technology? 28:22  The “paper qubit” problem 29:34  What quantum computers are actually good for 32:27  Should quantum computing be regulated like AI? 33:35  US vs. China: the quantum computing race 35:44  Collapse, Copenhagen, or many worlds? Martinis's answer 37:43  Leaving Google: “essentially demoted” 40:48  Why Colab exists and what “negative authority” means 42:50  The real bottleneck: funding, not physics 43:31  Final advice: always be on the lookout for the impossible Qolab: https://qolab.ai/ Get the transcript, fascinating bonus content, and my Monday M.A.G.I.C. Message: https://briankeating.com/yt Have a .edu email and live in the USA? You automatically win a meteorite: https://BrianKeating.com/edu Subscribe: https://www.youtube.com/DrBrianKeating?sub_confirmation=1 Support Into the Impossible on Patreon, get my weekly M.A.G.I.C. Message, unfiltered bonus content, and live monthly Office Hours with me: https://www.patreon.com/drbriankeating Join this channel for perks, monthly Office Hours, and your name in the Member Roster at the end of every episode: https://www.youtube.com/channel/UCmXH_moPhfkqCk6S3b9RWuw/join My books: Losing the Nobel Prize (memoir): http://amzn.to/2sa5UpA Think Like a Nobel Prize Winner: https://a.co/d/03ezQFu Focus Like a Nobel Prize Winner: https://a.co/d/hi50U9U Galileo's Dialogue (first-ever audiobook): https://a.co/d/iZPi9Un Twitter/X: https://x.com/BrianKeating Substack: https://briankeating.substack.com Blog: https://briankeating.com/blog Audio-only: https://briankeating.com/podcast Landing page: https://awake-mill-k25t.here.now #intotheimpossible #briankeating #JohnMartinis #NobelPrize #quantumcomputing #physics #podcast Learn more about your ad choices. Visit megaphone.fm/adchoices