Podcasts about dual nature

Apple Pie Playground with Valerie Title: Emotions in Motion, The Key to Human Evolution? Is it possible that managing emotion is the key that opens the door to human evolution mind, body, and spirit? Are we managing emotion or is it managing us? Does it really matter? Let's talk. Emotions in Motion: The Gateway to Human Evolution and Spiritual Transcendence Emotions in Motion The Key to Human Evolution & Quantum Spirituality 62 Min Listen #QuantumSpirituality #LimbicSystem #EmotionalIntelligence #SelfCare Core Philosophy "Emotion is energy in motion (emotere). It occurs before thought, informing the body through sensory cues before the brain even interprets the environment." Survival Reptilian Brain Fight, flight, or freeze. Triggered by unmanaged emotional charges in the amygdala. Evolution Prefrontal Cortex Transcendence and regulation. Activated through meditation and mindful awareness. The Cellular Impact Unreleased emotions deposit energy into cells, forming karma and "subtle bodies." Managing this energy is the only way to unlock psychic abilities (the "clairs") and higher consciousness. High EI Checklist ✔Self-Awareness & Regulation ✔Empathy & Social Skills ✔Setting Healthy Boundaries ✔Openness to Feedback ✔Conflict Resolution The 5-Circle Activity 1. Center: Waking emotion. 2. Social: First conversation. 3. Digital: Phone/TV interaction. 4. Present: Emotion right now. 5. Intent: Chosen end-of-day emotion. Source: Apple Pie Playground - Valerie Target: Spiritual Seekers & Self-Care Practitioners In this session of Apple Pie Playground, host Valerie explores the profound duality of human emotions, characterizing them as both a sensory "energy in motion" and a potential barrier to spiritual evolution. The discussion bridges the gap between quantum spirituality and neurobiology, offering a roadmap for managing emotional states to unlock higher consciousness and collective transformation. The Dual Nature of Emotions: Physicality vs. Spirituality Emotions are often described as the "astral field" of our physical experience or energy bodies that persist beyond the spirit's departure. While many spiritual traditions equate the highest state of being with an emotion like love, Valerie suggests that emotions are actually a characteristic of the physical realm of duality and do not necessarily translate to our "source identity". Because emotions like love can encompass a vast spectrum—from divine light to the "dark side" of obsession and possessiveness—relying on them as a sole definition of the divine can be problematic. The Biological Mechanism of Feeling Scientifically, emotions are electrochemical processes triggered by sensory experiences, occurring as electrical impulses in the body rather than mere brain waves. Crucially, emotion occurs before thought; the body picks up cues and shifts energy before the rational brain can define the event. If these energies are not released, they deposit into the cells, creating what some traditions call the "subtle body" or sushruma sarira, which can influence karma and physical health. The Emotional Brain: Survival vs. Transcendence Reptilian Brain (Amygdala) Triggers Fight, Flight, or Freeze. Operates on survival mode and subconscious triggers, often bypassing rational thought. Limbic & Prefrontal System The Pineal & Pituitary glands enable higher awareness. Regulation occurs in the Prefrontal Cortex through reason. Extreme emotions (even joy) can "hypoactivate" the brain, blocking psychic and transcendent functions 16]. The Path to Emotional Competency Unmanaged emotions lead to a "feedback loop" of stress, hormonal imbalances, and even addictions as the brain craves certain chemical stimulations. To evolve, humans must move emotion from the subconscious limbic system to the prefrontal cortex for regulation. This is achieved through intentional practices such as meditation, deep breathing, and prayer, which scientifically recalibrate the brain and activate the "transcendent" functions of the parietal lobe. Evolutionary Potential and Shared Reality Valerie posits that "emotional competency" is the fastest route to human evolution. By stabilizing our emotional bodies, we may unlock latent abilities such as clairvoyance and psychic connection. Furthermore, because emotions are vibrations that affect the quantum field, a collective shift in emotional frequency—preferring joy and compassion over hate and greed—has the power to literally reshape our shared physical reality. Indicators of High Emotional Intelligence (EQ) ✅ Self-Regulation: Pausing before reacting to avoid impulsive decisions. ✅ Empathy: Reading body language and understanding diverse perspectives. ✅ Openness: Viewing constructive criticism as a tool for growth. ✅ Boundaries: The ability to say "no" to maintain healthy limits. ✅ Conflict Resolution: Focusing on diplomacy rather than "winning." Source: Apple Pie Playground Practical Strategies for Daily Management To prevent emotions from settling at a cellular level, individuals should practice "moving" them through the body. Techniques include reframing negative thoughts into neutral or positive ones, practicing gratitude to shake off negativity, and using grounding exercises (focusing on the five senses) to remain present during a "trigger" event. Creating space between a stimulus and a response is vital for bypassing the subconscious "fight-or-flight" mechanism. Key Data & Observations The 5-Minute Rule: Just five minutes of quiet recalibration can significantly reactivate the brain's regulatory centers. Heart Coherence: Elevated emotions like gratitude influence the heart's electromagnetic field, aligning it with higher consciousness. Subconscious Triggers: A "trigger" is a subconscious reaction that completely bypasses the rational thinking brain. To-Do / Next Steps Label your feelings throughout the day to increase conscious awareness of emotional shifts. Practice "The Pause" by breathing and waiting before responding to a triggering event. Perform a daily grounding exercise by identifying what you can see, touch, and hear in the present moment. Conduct the "Five Circles" reflection: Draw five concentric circles representing your emotions from waking up to bedtime to track your emotional evolution. Choose your final emotion of the night intentionally, as it often dictates the emotion you wake up with the next day. Conclusion Emotions are the "Achilles' heel" of humanity, often targeted by social controls and media to keep us in survival mode. However, by treating emotions as informative tools rather than our absolute identity, we can manage their energetic force. This mastery not only heals the individual but serves as the catalyst for a more beautiful, co-created global reality.

As LLM apps evolve from simple chatbots to tool-using agents, the attack surface explodes, and the old security playbooks don't hold. In this episode of Alexa's Input (AI), Alexa Griffith sits down with Ian Webster, co-founder and CEO of PromptFoo, to break down what AI security actually looks like in practice: automated red teaming, prompt injection and jailbreak testing, evaluation workflows that scale, and why “guardrails alone” is not a security strategy.Ian shares how PromptFoo grew from a side project into a widely adopted open-source standard, what it means to raise multi-millions in a fast-moving market, and how enterprises are approaching the full vulnerability lifecycle, from finding issues to triage, remediation, and validation. Ian also discusses the “lethal trifecta” that makes agents fundamentally risky (untrusted input + sensitive data + exfil path), and why MCP security isn't just about users and tools, it's about dangerous tool combinations and rogue servers.Podcast LinksWatch: ⁠⁠⁠⁠⁠https://www.youtube.com/@alexa_griffith⁠⁠⁠⁠⁠Read: ⁠⁠⁠⁠⁠⁠⁠https://alexasinput.substack.com/⁠⁠⁠⁠⁠⁠⁠Listen:⁠⁠⁠ https://creators.spotify.com/pod/profile/alexagriffith/⁠⁠⁠More: ⁠⁠⁠⁠⁠https://linktr.ee/alexagriffith⁠⁠⁠⁠⁠Website: ⁠⁠⁠⁠⁠https://alexagriffith.com/⁠⁠⁠⁠⁠LinkedIn: ⁠⁠⁠⁠⁠https://www.linkedin.com/in/alexa-griffith/⁠⁠⁠⁠Find out more about the guest at:PromptFoo Website: https://www.promptfoo.dev/Github: https://github.com/promptfoo/promptfooIan's LinkedIn: https://www.linkedin.com/in/ianww/Chapters00:00 Introduction to AI Security Challenges02:06 Funding and Growth of PromptFu06:16 The Genesis of PromptFu11:05 Career Journey and Lessons Learned12:53 Understanding AI Red Teaming17:36 Recent AI Security Vulnerabilities19:46 The Dual Nature of AI in Security21:47 Understanding the Lethal Trifecta in AI Security24:22 Exploring Model Context Protocol (MCP) and Its Security Implications26:22 Common Security Issues in MCP Systems28:17 The Role of Identity and Permissions in AI Security30:00 Practical Implications of Using PromptFoo for Developers31:33 Evaluating Language Models: Challenges and Techniques36:34 The Limitations of Guardrails in AI Security38:25 Best Practices for Engineers in AI Development39:58 Future Trends in AI and Security42:28 Everyday Applications of AI and Language Models

2-15-2026Vicar Karl Camp

Keywords Dyslexia, ADHD, entrepreneurship, NeuroSpicy, online business, medical supplies, AI, consulting, innovation, mental health Takeaways 35% of entrepreneurs are dyslexic or ADHD. Dyslexia can lead to innovative thinking. John's first entrepreneurial venture was in environmental education. The insurance industry faced challenges with online brokerage. John developed a website platform for small businesses. The medical supply business operates on an arbitrage model. AI can enhance business operations and decision-making. Cultural differences impact business practices globally. Government policies can hinder or help business growth. NeuroSpicy aims to educate about dyslexia and ADHD. Summary In this episode, Mitch Beinhaker interviews John O'Shea, who shares his journey as an entrepreneur with dyslexia and ADHD. John discusses the challenges and advantages of these conditions in the business world, highlighting the significant percentage of successful entrepreneurs who share similar traits. He recounts his experiences in various industries, including insurance, online brokerage, and medical supplies, and emphasizes the importance of innovation and adaptability. John also introduces his new venture, NeuroSpicy, aimed at educating others about dyslexia and ADHD, and discusses the need for early intervention and support for individuals with these conditions. Titles Unlocking the Dyslexic Mind: A Journey of Innovation From Dyslexia to Entrepreneurship: John's Story   Sound bites "35% of entrepreneurs are dyslexic or ADHD." "Dyslexia can lead to innovative thinking." "NeuroSpicy aims to educate about dyslexia and ADHD." Chapters 00:00 Introduction and Background 03:01 Understanding Dyslexia and ADHD in Entrepreneurship 05:47 John's Entrepreneurial Journey 08:34 Challenges in the Insurance Industry 11:22 Innovations in Online Brokerage 14:07 Transition to Banking and Consulting 17:09 Developing a Website Platform for Small Businesses 20:19 The Evolution of Medical Supply Business 23:05 Navigating the Crypto Lending Landscape 25:49 The Importance of AI in Business 28:20 Cultural Differences in Business Practices 31:23 The Impact of Government Policies on Business 34:11 NeuroSpicy: A New Venture 37:14 The Dual Nature of Dyslexia and ADHD 39:56 Future Plans and Closing Thoughts

From Palantir and Two Sigma to building Goodfire into the poster-child for actionable mechanistic interpretability, Mark Bissell (Member of Technical Staff) and Myra Deng (Head of Product) are trying to turn “peeking inside the model” into a repeatable production workflow by shipping APIs, landing real enterprise deployments, and now scaling the bet with a recent $150M Series B funding round at a $1.25B valuation.In this episode, we go far beyond the usual “SAEs are cool” take. We talk about Goodfire's core bet: that the AI lifecycle is still fundamentally broken because the only reliable control we have is data and we post-train, RLHF, and fine-tune by “slurping supervision through a straw,” hoping the model picks up the right behaviors while quietly absorbing the wrong ones. Goodfire's answer is to build a bi-directional interface between humans and models: read what's happening inside, edit it surgically, and eventually use interpretability during training so customization isn't just brute-force guesswork.Mark and Myra walk through what that looks like when you stop treating interpretability like a lab demo and start treating it like infrastructure: lightweight probes that add near-zero latency, token-level safety filters that can run at inference time, and interpretability workflows that survive messy constraints (multilingual inputs, synthetic→real transfer, regulated domains, no access to sensitive data). We also get a live window into what “frontier-scale interp” means operationally (i.e. steering a trillion-parameter model in real time by targeting internal features) plus why the same tooling generalizes cleanly from language models to genomics, medical imaging, and “pixel-space” world models.We discuss:* Myra + Mark's path: Palantir (health systems, forward-deployed engineering) → Goodfire early team; Two Sigma → Head of Product, translating frontier interpretability research into a platform and real-world deployments* What “interpretability” actually means in practice: not just post-hoc poking, but a broader “science of deep learning” approach across the full AI lifecycle (data curation → post-training → internal representations → model design)* Why post-training is the first big wedge: “surgical edits” for unintended behaviors likereward hacking, sycophancy, noise learned during customization plus the dream of targeted unlearning and bias removal without wrecking capabilities* SAEs vs probes in the real world: why SAE feature spaces sometimes underperform classifiers trained on raw activations for downstream detection tasks (hallucination, harmful intent, PII), and what that implies about “clean concept spaces”* Rakuten in production: deploying interpretability-based token-level PII detection at inference time to prevent routing private data to downstream providers plus the gnarly constraints: no training on real customer PII, synthetic→real transfer, English + Japanese, and tokenization quirks* Why interp can be operationally cheaper than LLM-judge guardrails: probes are lightweight, low-latency, and don't require hosting a second large model in the loop* Real-time steering at frontier scale: a demo of steering Kimi K2 (~1T params) live and finding features via SAE pipelines, auto-labeling via LLMs, and toggling a “Gen-Z slang” feature across multiple layers without breaking tool use* Hallucinations as an internal signal: the case that models have latent uncertainty / “user-pleasing” circuitry you can detect and potentially mitigate more directly than black-box methods* Steering vs prompting: the emerging view that activation steering and in-context learning are more closely connected than people think, including work mapping between the two (even for jailbreak-style behaviors)* Interpretability for science: using the same tooling across domains (genomics, medical imaging, materials) to debug spurious correlations and extract new knowledge up to and including early biomarker discovery work with major partners* World models + “pixel-space” interpretability: why vision/video models make concepts easier to see, how that accelerates the feedback loop, and why robotics/world-model partners are especially interesting design partners* The north star: moving from “data in, weights out” to intentional model design where experts can impart goals and constraints directly, not just via reward signals and brute-force post-training—Goodfire AI* Website: https://goodfire.ai* LinkedIn: https://www.linkedin.com/company/goodfire-ai/* X: https://x.com/GoodfireAIMyra Deng* Website: https://myradeng.com/* LinkedIn: https://www.linkedin.com/in/myra-deng/* X: https://x.com/myra_dengMark Bissell* LinkedIn: https://www.linkedin.com/in/mark-bissell/* X: https://x.com/MarkMBissellFull Video EpisodeTimestamps00:00:00 Introduction00:00:05 Introduction to the Latent Space Podcast and Guests from Goodfire00:00:29 What is Goodfire? Mission and Focus on Interpretability00:01:01 Goodfire's Practical Approach to Interpretability00:01:37 Goodfire's Series B Fundraise Announcement00:02:04 Backgrounds of Mark and Myra from Goodfire00:02:51 Team Structure and Roles at Goodfire00:05:13 What is Interpretability? Definitions and Techniques00:05:30 Understanding Errors00:07:29 Post-training vs. Pre-training Interpretability Applications00:08:51 Using Interpretability to Remove Unwanted Behaviors00:10:09 Grokking, Double Descent, and Generalization in Models00:10:15 404 Not Found Explained00:12:06 Subliminal Learning and Hidden Biases in Models00:14:07 How Goodfire Chooses Research Directions and Projects00:15:00 Troubleshooting Errors00:16:04 Limitations of SAEs and Probes in Interpretability00:18:14 Rakuten Case Study: Production Deployment of Interpretability00:20:45 Conclusion00:21:12 Efficiency Benefits of Interpretability Techniques00:21:26 Live Demo: Real-Time Steering in a Trillion Parameter Model00:25:15 How Steering Features are Identified and Labeled00:26:51 Detecting and Mitigating Hallucinations Using Interpretability00:31:20 Equivalence of Activation Steering and Prompting00:34:06 Comparing Steering with Fine-Tuning and LoRA Techniques00:36:04 Model Design and the Future of Intentional AI Development00:38:09 Getting Started in Mechinterp: Resources, Programs, and Open Problems00:40:51 Industry Applications and the Rise of Mechinterp in Practice00:41:39 Interpretability for Code Models and Real-World Usage00:43:07 Making Steering Useful for More Than Stylistic Edits00:46:17 Applying Interpretability to Healthcare and Scientific Discovery00:49:15 Why Interpretability is Crucial in High-Stakes Domains like Healthcare00:52:03 Call for Design Partners Across Domains00:54:18 Interest in World Models and Visual Interpretability00:57:22 Sci-Fi Inspiration: Ted Chiang and Interpretability01:00:14 Interpretability, Safety, and Alignment Perspectives01:04:27 Weak-to-Strong Generalization and Future Alignment Challenges01:05:38 Final Thoughts and Hiring/Collaboration Opportunities at GoodfireTranscriptShawn Wang [00:00:05]: So welcome to the Latent Space pod. We're back in the studio with our special MechInterp co-host, Vibhu. Welcome. Mochi, Mochi's special co-host. And Mochi, the mechanistic interpretability doggo. We have with us Mark and Myra from Goodfire. Welcome. Thanks for having us on. Maybe we can sort of introduce Goodfire and then introduce you guys. How do you introduce Goodfire today?Myra Deng [00:00:29]: Yeah, it's a great question. So Goodfire, we like to say, is an AI research lab that focuses on using interpretability to understand, learn from, and design AI models. And we really believe that interpretability will unlock the new generation, next frontier of safe and powerful AI models. That's our description right now, and I'm excited to dive more into the work we're doing to make that happen.Shawn Wang [00:00:55]: Yeah. And there's always like the official description. Is there an understatement? Is there an unofficial one that sort of resonates more with a different audience?Mark Bissell [00:01:01]: Well, being an AI research lab that's focused on interpretability, there's obviously a lot of people have a lot that they think about when they think of interpretability. And I think we have a pretty broad definition of what that means and the types of places that can be applied. And in particular, applying it in production scenarios, in high stakes industries, and really taking it sort of from the research world into the real world. Which, you know. It's a new field, so that hasn't been done all that much. And we're excited about actually seeing that sort of put into practice.Shawn Wang [00:01:37]: Yeah, I would say it wasn't too long ago that Anthopic was like still putting out like toy models or superposition and that kind of stuff. And I wouldn't have pegged it to be this far along. When you and I talked at NeurIPS, you were talking a little bit about your production use cases and your customers. And then not to bury the lead, today we're also announcing the fundraise, your Series B. $150 million. $150 million at a 1.25B valuation. Congrats, Unicorn.Mark Bissell [00:02:02]: Thank you. Yeah, no, things move fast.Shawn Wang [00:02:04]: We were talking to you in December and already some big updates since then. Let's dive, I guess, into a bit of your backgrounds as well. Mark, you were at Palantir working on health stuff, which is really interesting because the Goodfire has some interesting like health use cases. I don't know how related they are in practice.Mark Bissell [00:02:22]: Yeah, not super related, but I don't know. It was helpful context to know what it's like. Just to work. Just to work with health systems and generally in that domain. Yeah.Shawn Wang [00:02:32]: And Mara, you were at Two Sigma, which actually I was also at Two Sigma back in the day. Wow, nice.Myra Deng [00:02:37]: Did we overlap at all?Shawn Wang [00:02:38]: No, this is when I was briefly a software engineer before I became a sort of developer relations person. And now you're head of product. What are your sort of respective roles, just to introduce people to like what all gets done in Goodfire?Mark Bissell [00:02:51]: Yeah, prior to Goodfire, I was at Palantir for about three years as a forward deployed engineer, now a hot term. Wasn't always that way. And as a technical lead on the health care team and at Goodfire, I'm a member of the technical staff. And honestly, that I think is about as specific as like as as I could describe myself because I've worked on a range of things. And, you know, it's it's a fun time to be at a team that's still reasonably small. I think when I joined one of the first like ten employees, now we're above 40, but still, it looks like there's always a mix of research and engineering and product and all of the above. That needs to get done. And I think everyone across the team is, you know, pretty, pretty switch hitter in the roles they do. So I think you've seen some of the stuff that I worked on related to image models, which was sort of like a research demo. More recently, I've been working on our scientific discovery team with some of our life sciences partners, but then also building out our core platform for more of like flexing some of the kind of MLE and developer skills as well.Shawn Wang [00:03:53]: Very generalist. And you also had like a very like a founding engineer type role.Myra Deng [00:03:58]: Yeah, yeah.Shawn Wang [00:03:59]: So I also started as I still am a member of technical staff, did a wide range of things from the very beginning, including like finding our office space and all of this, which is we both we both visited when you had that open house thing. It was really nice.Myra Deng [00:04:13]: Thank you. Thank you. Yeah. Plug to come visit our office.Shawn Wang [00:04:15]: It looked like it was like 200 people. It has room for 200 people. But you guys are like 10.Myra Deng [00:04:22]: For a while, it was very empty. But yeah, like like Mark, I spend. A lot of my time as as head of product, I think product is a bit of a weird role these days, but a lot of it is thinking about how do we take our frontier research and really apply it to the most important real world problems and how does that then translate into a platform that's repeatable or a product and working across, you know, the engineering and research teams to make that happen and also communicating to the world? Like, what is interpretability? What is it used for? What is it good for? Why is it so important? All of these things are part of my day-to-day as well.Shawn Wang [00:05:01]: I love like what is things because that's a very crisp like starting point for people like coming to a field. They all do a fun thing. Vibhu, why don't you want to try tackling what is interpretability and then they can correct us.Vibhu Sapra [00:05:13]: Okay, great. So I think like one, just to kick off, it's a very interesting role to be head of product, right? Because you guys, at least as a lab, you're more of an applied interp lab, right? Which is pretty different than just normal interp, like a lot of background research. But yeah. You guys actually ship an API to try these things. You have Ember, you have products around it, which not many do. Okay. What is interp? So basically you're trying to have an understanding of what's going on in model, like in the model, in the internal. So different approaches to do that. You can do probing, SAEs, transcoders, all this stuff. But basically you have an, you have a hypothesis. You have something that you want to learn about what's happening in a model internals. And then you're trying to solve that from there. You can do stuff like you can, you know, you can do activation mapping. You can try to do steering. There's a lot of stuff that you can do, but the key question is, you know, from input to output, we want to have a better understanding of what's happening and, you know, how can we, how can we adjust what's happening on the model internals? How'd I do?Mark Bissell [00:06:12]: That was really good. I think that was great. I think it's also a, it's kind of a minefield of a, if you ask 50 people who quote unquote work in interp, like what is interpretability, you'll probably get 50 different answers. And. Yeah. To some extent also like where, where good fire sits in the space. I think that we're an AI research company above all else. And interpretability is a, is a set of methods that we think are really useful and worth kind of specializing in, in order to accomplish the goals we want to accomplish. But I think we also sort of see some of the goals as even more broader as, as almost like the science of deep learning and just taking a not black box approach to kind of any part of the like AI development life cycle, whether that. That means using interp for like data curation while you're training your model or for understanding what happened during post-training or for the, you know, understanding activations and sort of internal representations, what is in there semantically. And then a lot of sort of exciting updates that were, you know, are sort of also part of the, the fundraise around bringing interpretability to training, which I don't think has been done all that much before. A lot of this stuff is sort of post-talk poking at models as opposed to. To actually using this to intentionally design them.Shawn Wang [00:07:29]: Is this post-training or pre-training or is that not a useful.Myra Deng [00:07:33]: Currently focused on post-training, but there's no reason the techniques wouldn't also work in pre-training.Shawn Wang [00:07:38]: Yeah. It seems like it would be more active, applicable post-training because basically I'm thinking like rollouts or like, you know, having different variations of a model that you can tweak with the, with your steering. Yeah.Myra Deng [00:07:50]: And I think in a lot of the news that you've seen in, in, on like Twitter or whatever, you've seen a lot of unintended. Side effects come out of post-training processes, you know, overly sycophantic models or models that exhibit strange reward hacking behavior. I think these are like extreme examples. There's also, you know, very, uh, mundane, more mundane, like enterprise use cases where, you know, they try to customize or post-train a model to do something and it learns some noise or it doesn't appropriately learn the target task. And a big question that we've always had is like, how do you use your understanding of what the model knows and what it's doing to actually guide the learning process?Shawn Wang [00:08:26]: Yeah, I mean, uh, you know, just to anchor this for people, uh, one of the biggest controversies of last year was 4.0 GlazeGate. I've never heard of GlazeGate. I didn't know that was what it was called. The other one, they called it that on the blog post and I was like, well, how did OpenAI call it? Like officially use that term. And I'm like, that's funny, but like, yeah, I guess it's the pitch that if they had worked a good fire, they wouldn't have avoided it. Like, you know what I'm saying?Myra Deng [00:08:51]: I think so. Yeah. Yeah.Mark Bissell [00:08:53]: I think that's certainly one of the use cases. I think. Yeah. Yeah. I think the reason why post-training is a place where this makes a lot of sense is a lot of what we're talking about is surgical edits. You know, you want to be able to have expert feedback, very surgically change how your model is doing, whether that is, you know, removing a certain behavior that it has. So, you know, one of the things that we've been looking at or is, is another like common area where you would want to make a somewhat surgical edit is some of the models that have say political bias. Like you look at Quen or, um, R1 and they have sort of like this CCP bias.Shawn Wang [00:09:27]: Is there a CCP vector?Mark Bissell [00:09:29]: Well, there's, there are certainly internal, yeah. Parts of the representation space where you can sort of see where that lives. Yeah. Um, and you want to kind of, you know, extract that piece out.Shawn Wang [00:09:40]: Well, I always say, you know, whenever you find a vector, a fun exercise is just like, make it very negative to see what the opposite of CCP is.Mark Bissell [00:09:47]: The super America, bald eagles flying everywhere. But yeah. So in general, like lots of post-training tasks where you'd want to be able to, to do that. Whether it's unlearning a certain behavior or, you know, some of the other kind of cases where this comes up is, are you familiar with like the, the grokking behavior? I mean, I know the machine learning term of grokking.Shawn Wang [00:10:09]: Yeah.Mark Bissell [00:10:09]: Sort of this like double descent idea of, of having a model that is able to learn a generalizing, a generalizing solution, as opposed to even if memorization of some task would suffice, you want it to learn the more general way of doing a thing. And so, you know, another. A way that you can think about having surgical access to a model's internals would be learn from this data, but learn in the right way. If there are many possible, you know, ways to, to do that. Can make interp solve the double descent problem?Shawn Wang [00:10:41]: Depends, I guess, on how you. Okay. So I, I, I viewed that double descent as a problem because then you're like, well, if the loss curves level out, then you're done, but maybe you're not done. Right. Right. But like, if you actually can interpret what is a generalizing or what you're doing. What is, what is still changing, even though the loss is not changing, then maybe you, you can actually not view it as a double descent problem. And actually you're just sort of translating the space in which you view loss and like, and then you have a smooth curve. Yeah.Mark Bissell [00:11:11]: I think that's certainly like the domain of, of problems that we're, that we're looking to get.Shawn Wang [00:11:15]: Yeah. To me, like double descent is like the biggest thing to like ML research where like, if you believe in scaling, then you don't need, you need to know where to scale. And. But if you believe in double descent, then you don't, you don't believe in anything where like anything levels off, like.Vibhu Sapra [00:11:30]: I mean, also tendentially there's like, okay, when you talk about the China vector, right. There's the subliminal learning work. It was from the anthropic fellows program where basically you can have hidden biases in a model. And as you distill down or, you know, as you train on distilled data, those biases always show up, even if like you explicitly try to not train on them. So, you know, it's just like another use case of. Okay. If we can interpret what's happening in post-training, you know, can we clear some of this? Can we even determine what's there? Because yeah, it's just like some worrying research that's out there that shows, you know, we really don't know what's going on.Mark Bissell [00:12:06]: That is. Yeah. I think that's the biggest sentiment that we're sort of hoping to tackle. Nobody knows what's going on. Right. Like subliminal learning is just an insane concept when you think about it. Right. Train a model on not even the logits, literally the output text of a bunch of random numbers. And now your model loves owls. And you see behaviors like that, that are just, they defy, they defy intuition. And, and there are mathematical explanations that you can get into, but. I mean.Shawn Wang [00:12:34]: It feels so early days. Objectively, there are a sequence of numbers that are more owl-like than others. There, there should be.Mark Bissell [00:12:40]: According to, according to certain models. Right. It's interesting. I think it only applies to models that were initialized from the same starting Z. Usually, yes.Shawn Wang [00:12:49]: But I mean, I think that's a, that's a cheat code because there's not enough compute. But like if you believe in like platonic representation, like probably it will transfer across different models as well. Oh, you think so?Mark Bissell [00:13:00]: I think of it more as a statistical artifact of models initialized from the same seed sort of. There's something that is like path dependent from that seed that might cause certain overlaps in the latent space and then sort of doing this distillation. Yeah. Like it pushes it towards having certain other tendencies.Vibhu Sapra [00:13:24]: Got it. I think there's like a bunch of these open-ended questions, right? Like you can't train in new stuff during the RL phase, right? RL only reorganizes weights and you can only do stuff that's somewhat there in your base model. You're not learning new stuff. You're just reordering chains and stuff. But okay. My broader question is when you guys work at an interp lab, how do you decide what to work on and what's kind of the thought process? Right. Because we can ramble for hours. Okay. I want to know this. I want to know that. But like, how do you concretely like, you know, what's the workflow? Okay. There's like approaches towards solving a problem, right? I can try prompting. I can look at chain of thought. I can train probes, SAEs. But how do you determine, you know, like, okay, is this going anywhere? Like, do we have set stuff? Just, you know, if you can help me with all that. Yeah.Myra Deng [00:14:07]: It's a really good question. I feel like we've always at the very beginning of the company thought about like, let's go and try to learn what isn't working in machine learning today. Whether that's talking to customers or talking to researchers at other labs, trying to understand both where the frontier is going and where things are really not falling apart today. And then developing a perspective on how we can push the frontier using interpretability methods. And so, you know, even our chief scientist, Tom, spends a lot of time talking to customers and trying to understand what real world problems are and then taking that back and trying to apply the current state of the art to those problems and then seeing where they fall down basically. And then using those failures or those shortcomings to understand what hills to climb when it comes to interpretability research. So like on the fundamental side, for instance, when we have done some work applying SAEs and probes, we've encountered, you know, some shortcomings in SAEs that we found a little bit surprising. And so have gone back to the drawing board and done work on that. And then, you know, we've done some work on better foundational interpreter models. And a lot of our team's research is focused on what is the next evolution beyond SAEs, for instance. And then when it comes to like control and design of models, you know, we tried steering with our first API and realized that it still fell short of black box techniques like prompting or fine tuning. And so went back to the drawing board and we're like, how do we make that not the case and how do we improve it beyond that? And one of our researchers, Ekdeep, who just joined is actually Ekdeep and Atticus are like steering experts and have spent a lot of time trying to figure out like, what is the research that enables us to actually do this in a much more powerful, robust way? So yeah, the answer is like, look at real world problems, try to translate that into a research agenda and then like hill climb on both of those at the same time.Shawn Wang [00:16:04]: Yeah. Mark has the steering CLI demo queued up, which we're going to go into in a sec. But I always want to double click on when you drop hints, like we found some problems with SAEs. Okay. What are they? You know, and then we can go into the demo. Yeah.Myra Deng [00:16:19]: I mean, I'm curious if you have more thoughts here as well, because you've done it in the healthcare domain. But I think like, for instance, when we do things like trying to detect behaviors within models that are harmful or like behaviors that a user might not want to have in their model. So hallucinations, for instance, harmful intent, PII, all of these things. We first tried using SAE probes for a lot of these tasks. So taking the feature activation space from SAEs and then training classifiers on top of that, and then seeing how well we can detect the properties that we might want to detect in model behavior. And we've seen in many cases that probes just trained on raw activations seem to perform better than SAE probes, which is a bit surprising if you think that SAEs are actually also capturing the concepts that you would want to capture cleanly and more surgically. And so that is an interesting observation. I don't think that is like, I'm not down on SAEs at all. I think there are many, many things they're useful for, but we have definitely run into cases where I think the concept space described by SAEs is not as clean and accurate as we would expect it to be for actual like real world downstream performance metrics.Mark Bissell [00:17:34]: Fair enough. Yeah. It's the blessing and the curse of unsupervised methods where you get to peek into the AI's mind. But sometimes you wish that you saw other things when you walked inside there. Although in the PII instance, I think weren't an SAE based approach actually did prove to be the most generalizable?Myra Deng [00:17:53]: It did work well in the case that we published with Rakuten. And I think a lot of the reasons it worked well was because we had a noisier data set. And so actually the blessing of unsupervised learning is that we actually got to get more meaningful, generalizable signal from SAEs when the data was noisy. But in other cases where we've had like good data sets, it hasn't been the case.Shawn Wang [00:18:14]: And just because you named Rakuten and I don't know if we'll get it another chance, like what is the overall, like what is Rakuten's usage or production usage? Yeah.Myra Deng [00:18:25]: So they are using us to essentially guardrail and inference time monitor their language model usage and their agent usage to detect things like PII so that they don't route private user information.Myra Deng [00:18:41]: And so that's, you know, going through all of their user queries every day. And that's something that we deployed with them a few months ago. And now we are actually exploring very early partnerships, not just with Rakuten, but with other people around how we can help with potentially training and customization use cases as well. Yeah.Shawn Wang [00:19:03]: And for those who don't know, like it's Rakuten is like, I think number one or number two e-commerce store in Japan. Yes. Yeah.Mark Bissell [00:19:10]: And I think that use case actually highlights a lot of like what it looks like to deploy things in practice that you don't always think about when you're doing sort of research tasks. So when you think about some of the stuff that came up there that's more complex than your idealized version of a problem, they were encountering things like synthetic to real transfer of methods. So they couldn't train probes, classifiers, things like that on actual customer data of PII. So what they had to do is use synthetic data sets. And then hope that that transfer is out of domain to real data sets. And so we can evaluate performance on the real data sets, but not train on customer PII. So that right off the bat is like a big challenge. You have multilingual requirements. So this needed to work for both English and Japanese text. Japanese text has all sorts of quirks, including tokenization behaviors that caused lots of bugs that caused us to be pulling our hair out. And then also a lot of tasks you'll see. You might make simplifying assumptions if you're sort of treating it as like the easiest version of the problem to just sort of get like general results where maybe you say you're classifying a sentence to say, does this contain PII? But the need that Rakuten had was token level classification so that you could precisely scrub out the PII. So as we learned more about the problem, you're sort of speaking about what that looks like in practice. Yeah. A lot of assumptions end up breaking. And that was just one instance where you. A problem that seems simple right off the bat ends up being more complex as you keep diving into it.Vibhu Sapra [00:20:41]: Excellent. One of the things that's also interesting with Interp is a lot of these methods are very efficient, right? So where you're just looking at a model's internals itself compared to a separate like guardrail, LLM as a judge, a separate model. One, you have to host it. Two, there's like a whole latency. So if you use like a big model, you have a second call. Some of the work around like self detection of hallucination, it's also deployed for efficiency, right? So if you have someone like Rakuten doing it in production live, you know, that's just another thing people should consider.Mark Bissell [00:21:12]: Yeah. And something like a probe is super lightweight. Yeah. It's no extra latency really. Excellent.Shawn Wang [00:21:17]: You have the steering demos lined up. So we were just kind of see what you got. I don't, I don't actually know if this is like the latest, latest or like alpha thing.Mark Bissell [00:21:26]: No, this is a pretty hacky demo from from a presentation that someone else on the team recently gave. So this will give a sense for, for technology. So you can see the steering and action. Honestly, I think the biggest thing that this highlights is that as we've been growing as a company and taking on kind of more and more ambitious versions of interpretability related problems, a lot of that comes to scaling up in various different forms. And so here you're going to see steering on a 1 trillion parameter model. This is Kimi K2. And so it's sort of fun that in addition to the research challenges, there are engineering challenges that we're now tackling. Cause for any of this to be sort of useful in production, you need to be thinking about what it looks like when you're using these methods on frontier models as opposed to sort of like toy kind of model organisms. So yeah, this was thrown together hastily, pretty fragile behind the scenes, but I think it's quite a fun demo. So screen sharing is on. So I've got two terminal sessions pulled up here. On the left is a forked version that we have of the Kimi CLI that we've got running to point at our custom hosted Kimi model. And then on the right is a set up that will allow us to steer on certain concepts. So I should be able to chat with Kimi over here. Tell it hello. This is running locally. So the CLI is running locally, but the Kimi server is running back to the office. Well, hopefully should be, um, that's too much to run on that Mac. Yeah. I think it's, uh, it takes a full, like each 100 node. I think it's like, you can. You can run it on eight GPUs, eight 100. So, so yeah, Kimi's running. We can ask it a prompt. It's got a forked version of our, uh, of the SG line code base that we've been working on. So I'm going to tell it, Hey, this SG line code base is slow. I think there's a bug. Can you try to figure it out? There's a big code base, so it'll, it'll spend some time doing this. And then on the right here, I'm going to initialize in real time. Some steering. Let's see here.Mark Bissell [00:23:33]: searching for any. Bugs. Feature ID 43205.Shawn Wang [00:23:38]: Yeah.Mark Bissell [00:23:38]: 20, 30, 40. So let me, uh, this is basically a feature that we found that inside Kimi seems to cause it to speak in Gen Z slang. And so on the left, it's still sort of thinking normally it might take, I don't know, 15 seconds for this to kick in, but then we're going to start hopefully seeing him do this code base is massive for real. So we're going to start. We're going to start seeing Kimi transition as the steering kicks in from normal Kimi to Gen Z Kimi and both in its chain of thought and its actual outputs.Mark Bissell [00:24:19]: And interestingly, you can see, you know, it's still able to call tools, uh, and stuff. It's um, it's purely sort of it's it's demeanor. And there are other features that we found for interesting things like concision. So that's more of a practical one. You can make it more concise. Um, the types of programs, uh, programming languages that uses, but yeah, as we're seeing it come in. Pretty good. Outputs.Shawn Wang [00:24:43]: Scheduler code is actually wild.Vibhu Sapra [00:24:46]: Yo, this code is actually insane, bro.Vibhu Sapra [00:24:53]: What's the process of training in SAE on this, or, you know, how do you label features? I know you guys put out a pretty cool blog post about, um, finding this like autonomous interp. Um, something. Something about how agents for interp is different than like coding agents. I don't know while this is spewing up, but how, how do we find feature 43, two Oh five. Yeah.Mark Bissell [00:25:15]: So in this case, um, we, our platform that we've been building out for a long time now supports all the sort of classic out of the box interp techniques that you might want to have like SAE training, probing things of that kind, I'd say the techniques for like vanilla SAEs are pretty well established now where. You take your model that you're interpreting, run a whole bunch of data through it, gather activations, and then yeah, pretty straightforward pipeline to train an SAE. There are a lot of different varieties. There's top KSAEs, batch top KSAEs, um, normal ReLU SAEs. And then once you have your sparse features to your point, assigning labels to them to actually understand that this is a gen Z feature, that's actually where a lot of the kind of magic happens. Yeah. And the most basic standard technique is look at all of your d input data set examples that cause this feature to fire most highly. And then you can usually pick out a pattern. So for this feature, If I've run a diverse enough data set through my model feature 43, two Oh five. Probably tends to fire on all the tokens that sounds like gen Z slang. You know, that's the, that's the time of year to be like, Oh, I'm in this, I'm in this Um, and, um, so, you know, you could have a human go through all 43,000 concepts andVibhu Sapra [00:26:34]: And I've got to ask the basic question, you know, can we get examples where it hallucinates, pass it through, see what feature activates for hallucinations? Can I just, you know, turn hallucination down?Myra Deng [00:26:51]: Oh, wow. You really predicted a project we're already working on right now, which is detecting hallucinations using interpretability techniques. And this is interesting because hallucinations is something that's very hard to detect. And it's like a kind of a hairy problem and something that black box methods really struggle with. Whereas like Gen Z, you could always train a simple classifier to detect that hallucinations is harder. But we've seen that models internally have some... Awareness of like uncertainty or some sort of like user pleasing behavior that leads to hallucinatory behavior. And so, yeah, we have a project that's trying to detect that accurately. And then also working on mitigating the hallucinatory behavior in the model itself as well.Shawn Wang [00:27:39]: Yeah, I would say most people are still at the level of like, oh, I would just turn temperature to zero and that turns off hallucination. And I'm like, well, that's a fundamental misunderstanding of how this works. Yeah.Mark Bissell [00:27:51]: Although, so part of what I like about that question is you, there are SAE based approaches that might like help you get at that. But oftentimes the beauty of SAEs and like we said, the curse is that they're unsupervised. So when you have a behavior that you deliberately would like to remove, and that's more of like a supervised task, often it is better to use something like probes and specifically target the thing that you're interested in reducing as opposed to sort of like hoping that when you fragment the latent space, one of the vectors that pops out.Vibhu Sapra [00:28:20]: And as much as we're training an autoencoder to be sparse, we're not like for sure certain that, you know, we will get something that just correlates to hallucination. You'll probably split that up into 20 other things and who knows what they'll be.Mark Bissell [00:28:36]: Of course. Right. Yeah. So there's no sort of problems with like feature splitting and feature absorption. And then there's the off target effects, right? Ideally, you would want to be very precise where if you reduce the hallucination feature, suddenly maybe your model can't write. Creatively anymore. And maybe you don't like that, but you want to still stop it from hallucinating facts and figures.Shawn Wang [00:28:55]: Good. So Vibhu has a paper to recommend there that we'll put in the show notes. But yeah, I mean, I guess just because your demo is done, any any other things that you want to highlight or any other interesting features you want to show?Mark Bissell [00:29:07]: I don't think so. Yeah. Like I said, this is a pretty small snippet. I think the main sort of point here that I think is exciting is that there's not a whole lot of inter being applied to models quite at this scale. You know, Anthropic certainly has some some. Research and yeah, other other teams as well. But it's it's nice to see these techniques, you know, being put into practice. I think not that long ago, the idea of real time steering of a trillion parameter model would have sounded.Shawn Wang [00:29:33]: Yeah. The fact that it's real time, like you started the thing and then you edited the steering vector.Vibhu Sapra [00:29:38]: I think it's it's an interesting one TBD of what the actual like production use case would be on that, like the real time editing. It's like that's the fun part of the demo, right? You can kind of see how this could be served behind an API, right? Like, yes, you're you only have so many knobs and you can just tweak it a bit more. And I don't know how it plays in. Like people haven't done that much with like, how does this work with or without prompting? Right. How does this work with fine tuning? Like, there's a whole hype of continual learning, right? So there's just so much to see. Like, is this another parameter? Like, is it like parameter? We just kind of leave it as a default. We don't use it. So I don't know. Maybe someone here wants to put out a guide on like how to use this with prompting when to do what?Mark Bissell [00:30:18]: Oh, well, I have a paper recommendation. I think you would love from Act Deep on our team, who is an amazing researcher, just can't say enough amazing things about Act Deep. But he actually has a paper that as well as some others from the team and elsewhere that go into the essentially equivalence of activation steering and in context learning and how those are from a he thinks of everything in a cognitive neuroscience Bayesian framework, but basically how you can precisely show how. Prompting in context, learning and steering exhibit similar behaviors and even like get quantitative about the like magnitude of steering you would need to do to induce a certain amount of behavior similar to certain prompting, even for things like jailbreaks and stuff. It's a really cool paper. Are you saying steering is less powerful than prompting? More like you can almost write a formula that tells you how to convert between the two of them.Myra Deng [00:31:20]: And so like formally equivalent actually in the in the limit. Right.Mark Bissell [00:31:24]: So like one case study of this is for jailbreaks there. I don't know. Have you seen the stuff where you can do like many shot jailbreaking? You like flood the context with examples of the behavior. And the topic put out that paper.Shawn Wang [00:31:38]: A lot of people were like, yeah, we've been doing this, guys.Mark Bissell [00:31:40]: Like, yeah, what's in this in context learning and activation steering equivalence paper is you can like predict the number. Number of examples that you will need to put in there in order to jailbreak the model. That's cool. By doing steering experiments and using this sort of like equivalence mapping. That's cool. That's really cool. It's very neat. Yeah.Shawn Wang [00:32:02]: I was going to say, like, you know, I can like back rationalize that this makes sense because, you know, what context is, is basically just, you know, it updates the KV cache kind of and like and then every next token inference is still like, you know, the sheer sum of everything all the way. It's plus all the context. It's up to date. And you could, I guess, theoretically steer that with you probably replace that with your steering. The only problem is steering typically is on one layer, maybe three layers like like you did. So it's like not exactly equivalent.Mark Bissell [00:32:33]: Right, right. There's sort of you need to get precise about, yeah, like how you sort of define steering and like what how you're modeling the setup. But yeah, I've got the paper pulled up here. Belief dynamics reveal the dual nature. Yeah. The title is Belief Dynamics Reveal the Dual Nature of Incompetence. And it's an exhibition of the practical context learning and activation steering. So Eric Bigelow, Dan Urgraft on the who are doing fellowships at Goodfire, Ekt Deep's the final author there.Myra Deng [00:32:59]: I think actually to your question of like, what is the production use case of steering? I think maybe if you just think like one level beyond steering as it is today. Like imagine if you could adapt your model to be, you know, an expert legal reasoner. Like in almost real time, like very quickly. efficiently using human feedback or using like your semantic understanding of what the model knows and where it knows that behavior. I think that while it's not clear what the product is at the end of the day, it's clearly very valuable. Thinking about like what's the next interface for model customization and adaptation is a really interesting problem for us. Like we have heard a lot of people actually interested in fine-tuning an RL for open weight models in production. And so people are using things like Tinker or kind of like open source libraries to do that, but it's still very difficult to get models fine-tuned and RL'd for exactly what you want them to do unless you're an expert at model training. And so that's like something we'reShawn Wang [00:34:06]: looking into. Yeah. I never thought so. Tinker from Thinking Machines famously uses rank one LoRa. Is that basically the same as steering? Like, you know, what's the comparison there?Mark Bissell [00:34:19]: Well, so in that case, you are still applying updates to the parameters, right?Shawn Wang [00:34:25]: Yeah. You're not touching a base model. You're touching an adapter. It's kind of, yeah.Mark Bissell [00:34:30]: Right. But I guess it still is like more in parameter space then. I guess it's maybe like, are you modifying the pipes or are you modifying the water flowing through the pipes to get what you're after? Yeah. Just maybe one way.Mark Bissell [00:34:44]: I like that analogy. That's my mental map of it at least, but it gets at this idea of model design and intentional design, which is something that we're, that we're very focused on. And just the fact that like, I hope that we look back at how we're currently training models and post-training models and just think what a primitive way of doing that right now. Like there's no intentionalityShawn Wang [00:35:06]: really in... It's just data, right? The only thing in control is what data we feed in.Mark Bissell [00:35:11]: So, so Dan from Goodfire likes to use this analogy of, you know, he has a couple of young kids and he talks about like, what if I could only teach my kids how to be good people by giving them cookies or like, you know, giving them a slap on the wrist if they do something wrong, like not telling them why it was wrong or like what they should have done differently or something like that. Just figure it out. Right. Exactly. So that's RL. Yeah. Right. And, and, you know, it's sample inefficient. There's, you know, what do they say? It's like slurping feedback. It's like, slurping supervision. Right. And so you'd like to get to the point where you can have experts giving feedback to their models that are, uh, internalized and, and, you know, steering is an inference time way of sort of getting that idea. But ideally you're moving to a world whereVibhu Sapra [00:36:04]: it is much more intentional design in perpetuity for these models. Okay. This is one of the questions we asked Emmanuel from Anthropic on the podcast a few months ago. Basically the question, was you're at a research lab that does model training, foundation models, and you're on an interp team. How does it tie back? Right? Like, does this, do ideas come from the pre-training team? Do they go back? Um, you know, so for those interested, you can, you can watch that. There wasn't too much of a connect there, but it's still something, you know, it's something they want toMark Bissell [00:36:33]: push for down the line. It can be useful for all of the above. Like there are certainly post-hocVibhu Sapra [00:36:39]: use cases where it doesn't need to touch that. I think the other thing a lot of people forget is this stuff isn't too computationally expensive, right? Like I would say, if you're interested in getting into research, MechInterp is one of the most approachable fields, right? A lot of this train an essay, train a probe, this stuff, like the budget for this one, there's already a lot done. There's a lot of open source work. You guys have done some too. Um, you know,Shawn Wang [00:37:04]: There's like notebooks from the Gemini team for Neil Nanda or like, this is how you do it. Just step through the notebook.Vibhu Sapra [00:37:09]: Even if you're like, not even technical with any of this, you can still make like progress. There, you can look at different activations, but, uh, if you do want to get into training, you know, training this stuff, correct me if I'm wrong is like in the thousands of dollars, not even like, it's not that high scale. And then same with like, you know, applying it, doing it for post-training or all this stuff is fairly cheap in scale of, okay. I want to get into like model training. I don't have compute for like, you know, pre-training stuff. So it's, it's a very nice field to get into. And also there's a lot of like open questions, right? Um, some of them have to go with, okay, I want a product. I want to solve this. Like there's also just a lot of open-ended stuff that people could work on. That's interesting. Right. I don't know if you guys have any calls for like, what's open questions, what's open work that you either open collaboration with, or like, you'd just like to see solved or just, you know, for people listening that want to get into McInturk because people always talk about it. What are, what are the things they should check out? Start, of course, you know, join you guys as well. I'm sure you're hiring.Myra Deng [00:38:09]: There's a paper, I think from, was it Lee, uh, Sharky? It's open problems and, uh, it's, it's a bit of interpretability, which I recommend everyone who's interested in the field. Read. I'm just like a really comprehensive overview of what are the things that experts in the field think are the most important problems to be solved. I also think to your point, it's been really, really inspiring to see, I think a lot of young people getting interested in interpretability, actually not just young people also like scientists to have been, you know, experts in physics for many years and in biology or things like this, um, transitioning into interp, because the barrier of, of what's now interp. So it's really cool to see a number to entry is, you know, in some ways low and there's a lot of information out there and ways to get started. There's this anecdote of like professors at universities saying that all of a sudden every incoming PhD student wants to study interpretability, which was not the case a few years ago. So it just goes to show how, I guess, like exciting the field is, how fast it's moving, how quick it is to get started and things like that.Mark Bissell [00:39:10]: And also just a very welcoming community. You know, there's an open source McInturk Slack channel. There are people are always posting questions and just folks in the space are always responsive if you ask things on various forums and stuff. But yeah, the open paper, open problems paper is a really good one.Myra Deng [00:39:28]: For other people who want to get started, I think, you know, MATS is a great program. What's the acronym for? Machine Learning and Alignment Theory Scholars? It's like the...Vibhu Sapra [00:39:40]: Normally summer internship style.Myra Deng [00:39:42]: Yeah, but they've been doing it year round now. And actually a lot of our full-time staff have come through that program or gone through that program. And it's great for anyone who is transitioning into interpretability. There's a couple other fellows programs. We do one as well as Anthropic. And so those are great places to get started if anyone is interested.Mark Bissell [00:40:03]: Also, I think been seen as a research field for a very long time. But I think engineering... I think engineers are sorely wanted for interpretability as well, especially at Goodfire, but elsewhere, as it does scale up.Shawn Wang [00:40:18]: I should mention that Lee actually works with you guys, right? And in the London office and I'm adding our first ever McInturk track at AI Europe because I see this industry applications now emerging. And I'm pretty excited to, you know, help push that along. Yeah, I was looking forward to that. It'll effectively be the first industry McInturk conference. Yeah. I'm so glad you added that. You know, it's still a little bit of a bet. It's not that widespread, but I can definitely see this is the time to really get into it. We want to be early on things.Mark Bissell [00:40:51]: For sure. And I think the field understands this, right? So at ICML, I think the title of the McInturk workshop this year was actionable interpretability. And there was a lot of discussion around bringing it to various domains. Everyone's adding pragmatic, actionable, whatever.Shawn Wang [00:41:10]: It's like, okay, well, we weren't actionable before, I guess. I don't know.Vibhu Sapra [00:41:13]: And I mean, like, just, you know, being in Europe, you see the Interp room. One, like old school conferences, like, I think they had a very tiny room till they got lucky and they got it doubled. But there's definitely a lot of interest, a lot of niche research. So you see a lot of research coming out of universities, students. We covered the paper last week. It's like two unknown authors, not many citations. But, you know, you can make a lot of meaningful work there. Yeah. Yeah. Yeah.Shawn Wang [00:41:39]: Yeah. I think people haven't really mentioned this yet. It's just Interp for code. I think it's like an abnormally important field. We haven't mentioned this yet. The conspiracy theory last two years ago was when the first SAE work came out of Anthropic was they would do like, oh, we just used SAEs to turn the bad code vector down and then turn up the good code. And I think like, isn't that the dream? Like, you know, like, but basically, I guess maybe, why is it funny? Like, it's... If it was realistic, it would not be funny. It would be like, no, actually, we should do this. But it's funny because we know there's like, we feel there's some limitations to what steering can do. And I think a lot of the public image of steering is like the Gen Z stuff. Like, oh, you can make it really love the Golden Gate Bridge, or you can make it speak like Gen Z. To like be a legal reasoner seems like a huge stretch. Yeah. And I don't know if that will get there this way. Yeah.Myra Deng [00:42:36]: I think, um, I will say we are announcing. Something very soon that I will not speak too much about. Um, but I think, yeah, this is like what we've run into again and again is like, we, we don't want to be in the world where steering is only useful for like stylistic things. That's definitely not, not what we're aiming for. But I think the types of interventions that you need to do to get to things like legal reasoning, um, are much more sophisticated and require breakthroughs in, in learning algorithms. And that's, um...Shawn Wang [00:43:07]: And is this an emergent property of scale as well?Myra Deng [00:43:10]: I think so. Yeah. I mean, I think scale definitely helps. I think scale allows you to learn a lot of information and, and reduce noise across, you know, large amounts of data. But I also think we think that there's ways to do things much more effectively, um, even, even at scale. So like actually learning exactly what you want from the data and not learning things that you do that you don't want exhibited in the data. So we're not like anti-scale, but we are also realizing that scale is not going to get us anywhere. It's not going to get us to the type of AI development that we want to be at in, in the future as these models get more powerful and get deployed in all these sorts of like mission critical contexts. Current life cycle of training and deploying and evaluations is, is to us like deeply broken and has opportunities to, to improve. So, um, more to come on that very, very soon.Mark Bissell [00:44:02]: And I think that that's a use basically, or maybe just like a proof point that these concepts do exist. Like if you can manipulate them in the precise best way, you can get the ideal combination of them that you desire. And steering is maybe the most coarse grained sort of peek at what that looks like. But I think it's evocative of what you could do if you had total surgical control over every concept, every parameter. Yeah, exactly.Myra Deng [00:44:30]: There were like bad code features. I've got it pulled up.Vibhu Sapra [00:44:33]: Yeah. Just coincidentally, as you guys are talking.Shawn Wang [00:44:35]: This is like, this is exactly.Vibhu Sapra [00:44:38]: There's like specifically a code error feature that activates and they show, you know, it's not, it's not typo detection. It's like, it's, it's typos in code. It's not typical typos. And, you know, you can, you can see it clearly activates where there's something wrong in code. And they have like malicious code, code error. They have a whole bunch of sub, you know, sub broken down little grain features. Yeah.Shawn Wang [00:45:02]: Yeah. So, so the, the rough intuition for me, the, why I talked about post-training was that, well, you just, you know, have a few different rollouts with all these things turned off and on and whatever. And then, you know, you can, that's, that's synthetic data you can kind of post-train on. Yeah.Vibhu Sapra [00:45:13]: And I think we make it sound easier than it is just saying, you know, they do the real hard work.Myra Deng [00:45:19]: I mean, you guys, you guys have the right idea. Exactly. Yeah. We replicated a lot of these features in, in our Lama models as well. I remember there was like.Vibhu Sapra [00:45:26]: And I think a lot of this stuff is open, right? Like, yeah, you guys opened yours. DeepMind has opened a lot of essays on Gemma. Even Anthropic has opened a lot of this. There's, there's a lot of resources that, you know, we can probably share of people that want to get involved.Shawn Wang [00:45:41]: Yeah. And special shout out to like Neuronpedia as well. Yes. Like, yeah, amazing piece of work to visualize those things.Myra Deng [00:45:49]: Yeah, exactly.Shawn Wang [00:45:50]: I guess I wanted to pivot a little bit on, onto the healthcare side, because I think that's a big use case for you guys. We haven't really talked about it yet. This is a bit of a crossover for me because we are, we are, we do have a separate science pod that we're starting up for AI, for AI for science, just because like, it's such a huge investment category and also I'm like less qualified to do it, but we actually have bio PhDs to cover that, which is great, but I need to just kind of recover, recap your work, maybe on the evil two stuff, but then, and then building forward.Mark Bissell [00:46:17]: Yeah, for sure. And maybe to frame up the conversation, I think another kind of interesting just lens on interpretability in general is a lot of the techniques that were described. are ways to solve the AI human interface problem. And it's sort of like bidirectional communication is the goal there. So what we've been talking about with intentional design of models and, you know, steering, but also more advanced techniques is having humans impart our desires and control into models and over models. And the reverse is also very interesting, especially as you get to superhuman models, whether that's narrow superintelligence, like these scientific models that work on genomics, data, medical imaging, things like that. But down the line, you know, superintelligence of other forms as well. What knowledge can the AIs teach us as sort of that, that the other direction in that? And so some of our life science work to date has been getting at exactly that question, which is, well, some of it does look like debugging these various life sciences models, understanding if they're actually performing well, on tasks, or if they're picking up on spurious correlations, for instance, genomics models, you would like to know whether they are sort of focusing on the biologically relevant things that you care about, or if it's using some simpler correlate, like the ancestry of the person that it's looking at. But then also in the instances where they are superhuman, and maybe they are understanding elements of the human genome that we don't have names for or specific, you know, yeah, discoveries that they've made that that we don't know about, that's, that's a big goal. And so we're already seeing that, right, we are partnered with organizations like Mayo Clinic, leading research health system in the United States, our Institute, as well as a startup called Prima Menta, which focuses on neurodegenerative disease. And in our partnership with them, we've used foundation models, they've been training and applied our interpretability techniques to find novel biomarkers for Alzheimer's disease. So I think this is just the tip of the iceberg. But it's, that's like a flavor of some of the things that we're working on.Shawn Wang [00:48:36]: Yeah, I think that's really fantastic. Obviously, we did the Chad Zuckerberg pod last year as well. And like, there's a plethora of these models coming out, because there's so much potential and research. And it's like, very interesting how it's basically the same as language models, but just with a different underlying data set. But it's like, it's the same exact techniques. Like, there's no change, basically.Mark Bissell [00:48:59]: Yeah. Well, and even in like other domains, right? Like, you know, robotics, I know, like a lot of the companies just use Gemma as like the like backbone, and then they like make it into a VLA that like takes these actions. It's, it's, it's transformers all the way down. So yeah.Vibhu Sapra [00:49:15]: Like we have Med Gemma now, right? Like this week, even there was Med Gemma 1.5. And they're training it on this stuff, like 3d scans, medical domain knowledge, and all that stuff, too. So there's a push from both sides. But I think the thing that, you know, one of the things about McInturpp is like, you're a little bit more cautious in some domains, right? So healthcare, mainly being one, like guardrails, understanding, you know, we're more risk adverse to something going wrong there. So even just from a basic understanding, like, if we're trusting these systems to make claims, we want to know why and what's going on.Myra Deng [00:49:51]: Yeah, I think there's totally a kind of like deployment bottleneck to actually using. foundation models for real patient usage or things like that. Like, say you're using a model for rare disease prediction, you probably want some explanation as to why your model predicted a certain outcome, and an interpretable explanation at that. So that's definitely a use case. But I also think like, being able to extract scientific information that no human knows to accelerate drug discovery and disease treatment and things like that actually is a really, really big unlock for science, like scientific discovery. And you've seen a lot of startups, like say that they're going to accelerate scientific discovery. And I feel like we actually are doing that through our interp techniques. And kind of like, almost by accident, like, I think we got reached out to very, very early on from these healthcare institutions. And none of us had healthcare.Shawn Wang [00:50:49]: How did they even hear of you? A podcast.Myra Deng [00:50:51]: Oh, okay. Yeah, podcast.Vibhu Sapra [00:50:53]: Okay, well, now's that time, you know.Myra Deng [00:50:55]: Everyone can call us.Shawn Wang [00:50:56]: Podcasts are the most important thing. Everyone should listen to podcasts.Myra Deng [00:50:59]: Yeah, they reached out. They were like, you know, we have these really smart models that we've trained, and we want to know what they're doing. And we were like, really early that time, like three months old, and it was a few of us. And we were like, oh, my God, we've never used these models. Let's figure it out. But it's also like, great proof that interp techniques scale pretty well across domains. We didn't really have to learn too much about.Shawn Wang [00:51:21]: Interp is a machine learning technique, machine learning skills everywhere, right? Yeah. And it's obviously, it's just like a general insight. Yeah. Probably to finance too, I think, which would be fun for our history. I don't know if you have anything to say there.Mark Bissell [00:51:34]: Yeah, well, just across the science. Like, we've also done work on material science. Yeah, it really runs the gamut.Vibhu Sapra [00:51:40]: Yeah. Awesome. And, you know, for those that should reach out, like, you're obviously experts in this, but like, is there a call out for people that you're looking to partner with, design partners, people to use your stuff outside of just, you know, the general developer that wants to. Plug and play steering stuff, like on the research side more so, like, are there ideal design partners, customers, stuff like that?Myra Deng [00:52:03]: Yeah, I can talk about maybe non-life sciences, and then I'm curious to hear from you on the life sciences side. But we're looking for design partners across many domains, language, anyone who's customizing language models or trying to push the frontier of code or reasoning models is really interesting to us. And then also interested in the frontier of modeling. There's a lot of models that work in, like, pixel space, as we call it. So if you're doing world models, video models, even robotics, where there's not a very clean natural language interface to interact with, I think we think that Interp can really help and are looking for a few partners in that space.Shawn Wang [00:52:43]: Just because you mentioned the keyword

TF | S03 E15 | In this episode of Thinking Faith, Deacon Eric Gurash and Dr. Brett Salkeld respond to student questions about God, Jesus, and the Holy Trinity. Exploring Scripture, Church history, and Christian theology, they unpack how the doctrine of the Trinity developed, the divine and human natures of Christ, and the role of the Holy Spirit in the life of faith. This thoughtful conversation offers clear answers to common questions about Christian belief and helps listeners better understand how God is one yet three persons. 00:00 Introduction and Podcast Overview 00:39 New Season Format and Production Insights 01:18 Engaging with Miller High School Students 03:18 The Nature of God, Jesus, and the Trinity 06:03 Exploring the Doctrine of the Trinity 18:09 Understanding Condescension in the Incarnation 18:46 Scriptural Examples of God's Condescension 19:28 The Mystery of Jesus' Knowledge 20:10 The Dual Nature of Jesus 21:43 The Trinity and the Incarnation 23:52 The Relationship Between God and Creation 28:41 Exploring the Holy Spirit's Role 34:59 The Filioque Controversy 38:03 Concluding Thoughts on the Trinity

Randall Bock discusses the prevalence of misinformation and hierarchical biases in the scientific community, using examples like COVID-19, Zika, and peer review's limitations. He argues that current systems encourage conformity and lack rigorous validation, proposing a new model where scientific claims are evaluated similar to sports, incorporating transparency, prediction markets, and replication bounties. Bock emphasizes the need for open inquiry and structural changes to prevent entrenched scientific gatekeeping and improve overall research quality.00:00 Introduction and Guest Introduction01:03 Critique of Dr. Fauci and Peter Hotez01:44 The Dual Nature of Science02:37 Science and Sports Analogies05:07 The Role of Peer Review in Science05:37 Zika and Misinformation08:20 Scientific Guilds and Their Impact12:26 Proposed Solutions for Scientific Integrity22:43 Historical Examples and Peer Review Critique27:43 Climate Science and Publication Challenges28:57 Payola and Scientific Authority30:21 Peter Hotez and Anti-Science Critique31:14 Fauci 1.0 vs. Fauci 2.032:10 The Soviet Influence on Science33:31 The Tenure Trap in Academia35:23 The Guild System in Science36:07 The Problem with Peer Review40:59 Proposing a New Scientific Framework42:26 The Role of Reputation in Science47:41 Challenges and Solutions in Open Science49:07 Final Thoughts and Future DirectionsPeer Review Is a Guild: https://substack.com/home/post/p-180649436How to Fix Science: https://dailysceptic.org/2025/12/12/how-to-fix-science/The Hidden Cost of Mental Health Parity: https://brownstone.org/articles/the-hidden-cost-of-mental-health-parity/

Welcome to episode #1016 of Thinking With Mitch Joel (formerly Six Pixels of Separation). At a moment when artificial intelligence is reshaping not just how markets operate but how people think, feel, decide and connect, understanding the human consequences of that shift has become essential. Mark Schaefer is a keynote speaker, educator, strategist, and a voice in modern marketing, with more than three decades of experience spanning global sales, public relations and brand strategy. He is a faculty member at Rutgers University. Mark's latest book, How AI Changes Your Customers - The Marketing Guide To Humanity's Next Chapter, extends his body of work by examining how AI is quietly rewiring consumer psychology, trust, agency, empathy, and belonging (be sure to check out his other books). Rather than focusing on algorithms or tools, Mark explores how customers are becoming more machine-assisted, less patient, more dependent on automation, and increasingly hungry for meaning and connection in a world optimized for efficiency. He argues that curiosity, art, and human connection are strategic advantages rather than soft ideals. Grounded in research, lived experience, and cultural observation, his work challenges marketers and leaders to rethink relevance, rethink loyalty, and rethink what it means to serve customers whose decisions are increasingly shaped by machines. At its core, Mark's perspective reframes AI not as a threat to humanity, but as a force that exposes what only humans can still do well…if they choose to lean into it. Enjoy the conversation… Running time: 1:06:07. Hello from beautiful Montreal. Listen and subscribe over at Apple Podcasts. Listen and subscribe over at Spotify. Please visit and leave comments on the blog - Thinking With Mitch Joel. Feel free to connect to me directly on LinkedIn. Check out ThinkersOne. Here is my conversation with Mark Schaefer. Book Mark for your next meeting on ThinkersOne. How AI Changes Your Customers - The Marketing Guide To Humanity's Next Chapter. Check out his other books. Read Mark's Blog. Follow Mark on LinkedIn. Chapters: (00:00) - Introduction to Mark Schaefer and AI's Impact. (03:00) - The Dual Nature of AI: Exciting and Terrifying. (06:09) - Cultural Shifts and AI's Influence on Humanity. (08:53) - Curiosity and Learning in the Age of AI. (12:08) - The Role of AI in Content Creation. (14:57) - Art, Tools, and the Essence of Creativity. (17:54) - The Illusion of Intimacy in AI. (21:05) - Navigating the Attention vs. Intimacy Economy. (23:54) - The Future of AI and Human Connection. (37:13) - Cultural Perspectives on AI and Work. (39:06) - AI Sovereignty and Global Implications. (41:23) - The Human Element in AI and Marketing. (43:42) - The Challenge of Authenticity in AI Content. (45:52) - Navigating Trust in a Digital Age. (49:20) - Generational Differences in Trust and Truth. (53:02) - The Role of Curiosity in the Age of AI. (56:46) - The Future of Trust and AI in Business. (01:01:40) - The Impact of AI on Human Connection. (01:03:59) - Embracing AI for Positive Change.

I sat down with author, speaker, and lawyer Justin Whitmel Earley and walked away reminded that discipline isn't just about doing more—it's about becoming more grounded. He shared how relentless ambition and life as a driven attorney led to panic attacks and burnout, and how he rebuilt through faith and daily spiritual rhythms. The smallest, most intentional habits shape my mind, my peace, and my purpose. Faith isn't just what I claim—it's what I practice every day.CHAPTERS:00:00 Introduction02:25 The Impact of Books and Personal Growth07:42 The Journey to Law and Mental Collapse12:55 Spiritual Habits and Life Changes23:40 Identity and Vocation34:56 The Gospel's Core Message38:30 Identifying and Overcoming False Idols43:02 The Role of the Body in Spirituality48:01 The Call to Serve Others55:20 The Journey of Intentional Fatherhood01:06:55 The Dual Nature of Strength01:13:04 The Role of Sabbath in Modern Life01:31:26 The Cornerstone of a Good Life01:36:47 Final Thoughts and ReflectionsJUSTIN WHITMEL EARLEYWebsite: https://www.justinwhitmelearley.com/Socials: @justinwhitmelearleyBooks: https://www.amazon.com/stores/Justin-Whitmel-Earley/author/B07P62QFW5?ref=ap_rdr&shoppingPortalEnabled=true&ccs_id=69ad8248-6298-4780-a33b-c900a2adfa62ORDER MY BOOK HERE:https://www.amazon.com/Go-One-More-Intentional-Life-Changing/dp/1637746210FOLLOW:Become a BPN member FOR FREE - Unlock 20% off FOR LIFEhttps://bpn.team/memberIG: instagram.com/nickbarefitness/YT: youtube.com/@nickbarefitness

In this episode, we explore the intersection of compassion, honesty, and responsibility in the context of addiction and mental illness. Join us as we discuss personal insights on how to apply boundaries, ethics, and values to help guide us in supporting loved ones on their recovery journey while maintaining our own boundaries. This is an incredibly difficult situation for many people. We use recent Reiner Family tragedy as an example of the pains of addiction and mental illness. Chapters 00:00 Introduction to the Reiner Family Catastrophe 09:37 The Importance of Honesty in Parenting 12:28 Navigating Truth and Compassion in Relationships 15:14 The Role of Accountability in Recovery 18:17 Understanding Addiction: Trauma vs. Reward 21:05 The Complexity of Enabling and Boundaries 23:47 Truth-Telling as a Path to Growth 27:12 The Dual Nature of Addiction 30:00 Setting Boundaries with Love 33:01 The Challenge of Personal Responsibility Original video source: Page Six & New York Post - https://youtu.be/8fGQdtzcvMY?si=bDX9pk9dEdpXwYrD Free 1-month of the Meditation App - Waking Up https://dynamic.wakingup.com/guestpass/SC58BD912 Questions - hello@startswithme.ca  DISCLAIMER: Copyright Disclaimer under section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, education and research. Disclaimer  Professional medical care and psychotherapeutic services are not offered on this Youtube channel. It is for general informational purposes only and does not constitute the practice of medicine, nursing or other professional health care services, including the giving of medical advice, and no doctor/patient relationship is formed. The use of information on this podcast or materials linked from this podcast is at the user's own risk. The content of this podcast is not intended to be a substitute for professional medical advice, diagnosis, or treatment. Users should not disregard or delay in obtaining medical advice for any medical condition they may have and should seek the assistance of their health care professionals for any such condition Seeking professional support is encouraged if you think you have an issue and that you want help.

In this wide-ranging conversation, Mark Moss joins us to unpack the forces reshaping money, technology, and power in the modern world. From his early days as a tech entrepreneur in California to becoming one of Bitcoin's most recognized educators and investors, Mark shares the personal journey that led him into macroeconomics—and ultimately into Bitcoin.We dig into his “cycles” framework, exploring how history moves in pendulum swings between centralization and decentralization roughly every 250 years, powered by recurring political, financial, and technological shifts. Mark explains why Bitcoin and AI sit at the center of today's “decentralized revolution,” and why AI isn't purely centralizing or decentralizing—but both at once.The discussion then turns to the real-world implications of Bitcoin as a tool for reducing the “return on violence” compared to fiat systems, and how that changes the incentives for governments and institutions. We move deeper into the 40-year bond market cycle, the growing crisis in fixed-income markets, and why aging demographics and financial repression are pushing trillions in capital to search for a new foundation.Finally, Mark shares insights from launching a Bitcoin treasury company in the UK—Satsuma—why demand for Bitcoin-backed yield instruments is exploding, and what the future may look like as traditional finance collides with a new Bitcoin-based base layer.If you're interested in macro, Bitcoin adoption, institutional shifts, and what comes next for global finance, this one is packed.Timestamps04:54 Mark Foss: Journey into Bitcoin and Macro Economics10:06 Cycles of Change: Understanding Economic and Technological Shifts15:11 The Dual Nature of AI: Centralization vs Decentralization19:48 The Return on Violence: Bitcoin vs Fiat24:59 The Bond Market Cycle: Implications for the Future30:00 Satsuma: Launching a Bitcoin Treasury in the UK#Bitcoin #MarkMoss #macroeconomics Subscribe to our channel and hit the bell "

https://www.youtube.com/watch?v=c0QCPZip6J0 Clip taken from Harpal Brar's presentation on Lenin's One step forward two steps back which can be read here: https://www.marxists.org/archive/lenin/works/1904/onestep/index.htm See the full video here: https://www.youtube.com/watch?v=YjCSYsAZE1s Subscribe! Donate! Join us in building a bright future for humanity! www.thecommunists.org www.lalkar.org www.redyouth.org Telegram: t.me/thecommunists Twitter: twitter.com/cpgbml Soundcloud: @proletarianradio Rumble: rumble.com/c/theCommunists Odysee: odysee.com/@proletariantv:2 Facebook: www.facebook.com/cpgbml Online Shop: https://shop.thecommunists.org/ Education Program: Each one teach one! www.londonworker.org/education-programme/ Join the struggle www.thecommunists.org/join/ Donate: www.thecommunists.org/donate/

Host Steve Cuss welcomes Dr. Alicia Britt Chole (Dr. ABC) for a profound conversation on faith, doubt, and spiritual transformation. Once a strident atheist, Dr. ABC shares her journey to a deep faith in Jesus, revealing how questioning and belief can coexist beautifully. Together, they explore the art of living in the plural—inviting Jesus into our thoughts, relationships, and even the challenges of parenting a child on the autism spectrum—showing how grace, wisdom, and love shape a resilient life of faith. Episode Resources: Dr. Alicia Britt Chole's The Night Is Normal: A Guide through Spiritual Pain Dr. Alicia Britt Chole's The Sacred Slow: A Holy Departure from Fast Faith Matthew 22:36-40; John 17 (ESV) - The Greatest Commandment Matthew 26:36-46 (ESV) - The Garden of Gethsemane More From Dr. Alicia Britt Chole: Read Dr. Britt Chole's blog HEREFollow Dr. Britt Chole on instagram Sign up for Steve's Newsletter & Podcast Reminders: Capable Life Newsletter Join Steve at an upcoming intensive:  Capable Life Intensives Learn more about your ad choices. Visit podcastchoices.com/adchoices

#thePOZcast is proudly brought to you by Fountain - the leading enterprise platform for workforce management. Our platform enables companies to support their frontline workers from job application to departure. Fountain elevates the hiring, management, and retention of frontline workers at scale.To learn more, please visit: https://www.fountain.com/?utm_source=shrm-2024&utm_medium=event&utm_campaign=shrm-2024-podcast-adam-posner.Thanks for listening, and please follow us on Insta @NHPTalent and www.youtube.com/thePOZcastFor all episodes, please check out www.thePOZcast.com SummaryIn this episode of the #thePOZcast, Adam Posner interviews Alison Baum Gates, an early-stage tech investor and author of 'Breaking Into Venture.' They discuss Alison's journey from the trading floor to venture capital, the importance of a global perspective, and the evolving landscape of entrepreneurship and employee well-being. Alison shares insights on the VC mindset, the challenges of writing a book, and the impact of AI on business and the writing process. The conversation culminates in a discussion about defining success and the importance of creating opportunities for others.Takeaways- Alison's parents' careers were disrupted by technology, influencing her career choices.- She transitioned from finance to venture capital to be on the disrupting side.- The trading floor experience taught her about opportunity spotting and creativity in finance.- Living globally has given her a competitive advantage in evaluating investments.- A VC mindset is essential for navigating today's abundant career opportunities.- Writing her book was a way to save time and share knowledge about venture capital.- Venture capital is not just glamorous; it requires hard work and patience.- Measuring progress in venture capital is crucial to avoid FOMO.- Success is defined by the number of successful people one creates.- AI is changing the landscape of entry-level jobs, making it essential for new graduates to adapt.Chapters00:00 Introduction to Alison Baum Gates and Her Journey01:17 The Impact of Technology on Career Paths02:43 Lessons from the Trading Floor06:34 Global Perspective and Competitive Advantage10:59 The VC Mindset: Thinking for Abundance13:21 Writing 'Breaking Into Venture' and Its Purpose15:14 The Reality of Venture Capital16:50 Self-Discovery Through Writing19:44 AI's Role in Writing and Business21:02 The Dual Nature of Entrepreneurship Today21:53 Navigating the Entrepreneurial Landscape25:08 The Role of Semper Virens29:52 The Impact of AI on Entry-Level Jobs32:34 Evaluating Founders and Building Relationships35:00 FOMO in Venture Capital36:51 Defining Success in Career and Life   

In this episode of 'A Millennial Mind,' I sit down with Dr. Marta Deiros Collado, a clinical psychologist with 20 years of experience and a mother of two. We dive into the hot topic of smartphones and social media, exploring whether they're helpful tools or harmful threats, especially for children and parents. Dr. Marta shares her insights on the fear and misconceptions surrounding technology, and offers evidence-based strategies for finding balance and boundaries in our digital lives. We also discuss the impact of screen time on relationships and mental health, and how parents can build healthier tech habits for themselves and their kids. If you've ever struggled with screen time or are concerned about your children's digital habits, you won't want to miss this enlightening conversation. Please don't forget to like, follow, and subscribe to support more meaningful and impactful discussions like this. ✨ Who This Episode Is For: Anyone who feels anxious, guilty, or overwhelmed by their phone use Parents trying to help children build healthy screen habits Millennials and Gen Z struggling with digital burnout or social media anxiety People who want to create boundaries with technology without a digital detox Anyone curious about the psychology of screen time and mental health

Keywords AI, technology, data exploitation, mental health, Slopaganda, trust, loneliness, data colonialism, environmental impact, education Summary In this conversation, Jericho McClellan discusses his multifaceted career and insights into AI realism, emphasizing the importance of a human-centered approach in navigating the complexities of AI and governance. He explores the dangers of data exploitation, the psychological implications of AI, and the need for critical thinking in interactions with AI systems. Jericho also addresses the societal issues of loneliness exacerbated by technology and the risks of data colonialism, while advocating for proactive education in AI to ensure a balanced relationship between humanity and technology. Takeaways Jericho McClellan has a diverse background in military and technology. AI realism focuses on navigating AI complexities with a human-centered approach. Data is often exploited for profit, raising ethical concerns. AI can manipulate cognitive abilities and influence decision-making. Slopaganda refers to AI-generated content that lacks authenticity. Trust in AI-generated information is a growing concern. Mental health professionals must be cautious when using AI tools. The psychological impact of AI on users is still being studied. Loneliness is a significant issue that AI companionship may exacerbate. Data colonialism poses risks to privacy and societal equity.   Sound bites "Data is the new oil." "AI's impact on mental health is profound." "We have to be mindful of what we value." Chapters 00:00 Introduction to Jericho McClellan's Background 03:11 The Journey from Curiosity to AI Expertise 08:49 The Dual Nature of AI: Tool or Threat? 11:27 Understanding Slopaganda and Its Implications 15:31 Trust and AI: Navigating Misinformation 19:06 The Average Person's Interaction with AI 22:00 The Psychological Impact of AI on Users 26:33 Discerning AI's Role in Our Lives 29:44 Data Colonialism: The Hidden Costs of AI 35:03 AI's Environmental Impact 36:50 Proactive Approaches to AI in Education 41:27 Maintaining Humanity in the Age of AI

Keywords AI, technology, data exploitation, mental health, Slopaganda, trust, loneliness, data colonialism, environmental impact, education Summary In this conversation, Jericho McClellan discusses his multifaceted career and insights into AI realism, emphasizing the importance of a human-centered approach in navigating the complexities of AI and governance. He explores the dangers of data exploitation, the psychological implications of AI, and the need for critical thinking in interactions with AI systems. Jericho also addresses the societal issues of loneliness exacerbated by technology and the risks of data colonialism, while advocating for proactive education in AI to ensure a balanced relationship between humanity and technology. Takeaways Jericho McClellan has a diverse background in military and technology. AI realism focuses on navigating AI complexities with a human-centered approach. Data is often exploited for profit, raising ethical concerns. AI can manipulate cognitive abilities and influence decision-making. Slopaganda refers to AI-generated content that lacks authenticity. Trust in AI-generated information is a growing concern. Mental health professionals must be cautious when using AI tools. The psychological impact of AI on users is still being studied. Loneliness is a significant issue that AI companionship may exacerbate. Data colonialism poses risks to privacy and societal equity.   Sound bites "Data is the new oil." "AI's impact on mental health is profound." "We have to be mindful of what we value." Chapters 00:00 Introduction to Jericho McClellan's Background 03:11 The Journey from Curiosity to AI Expertise 08:49 The Dual Nature of AI: Tool or Threat? 11:27 Understanding Slopaganda and Its Implications 15:31 Trust and AI: Navigating Misinformation 19:06 The Average Person's Interaction with AI 22:00 The Psychological Impact of AI on Users 26:33 Discerning AI's Role in Our Lives 29:44 Data Colonialism: The Hidden Costs of AI 35:03 AI's Environmental Impact 36:50 Proactive Approaches to AI in Education 41:27 Maintaining Humanity in the Age of AI

This week we rented the top 3 maths movies of all time – A Beautiful Mind, The Imitation Game and 3 Men and a Baby – all in order to be mathematically competent enough to share a pod with one of the world's greatest number nibblers, Marcus du Sautoy. So highly acclaimed and awarded, we could have filled the entire podcast by listing out his many achievements, Marcus is perhaps best known as a Professor in Mathematics, Fellow of the Royal Society and Simonyi Professor for the Public Understanding of Science at Oxford University. But, as well as being one of the very smartest people on the planet, he's also one of the most engaging and enlightening speakers on the unexpected stories to be found in numbers, having written for several national newspapers and appeared on a number of mathematically-inclined TV shows including Mind Games, The Story of Maths and The Code (not to be confused with The Cube). By now you've probably run out of fingers to tally up all the brilliant things he's done, so we shall just wrap up by saying he's also the author of a series of superb books examining the relationship between maths, creativity, music, games and more – including Blue Prints, The Music of Primes and The Creativity Code.  (Basically, the fact that it took us all this time to mention he's also an OBE tells you all you need to know. He's an impressive dude.) In an episode where Giles wears his disappointing GCSE results like a hi-vis vest of inadequacy, we ponder the search for meaning in numbers and how the stories behind them can help shape ideas and solve problems.     This episode is proudly dedicated to Mr Baleson.  Follow Marcus on LinkedIn ///// Timestamps 04:17 - The Influence of a Great Teacher  06:03 - Mathematics as a Language and Creative Outlet  08:44 - The Intersection of Mathematics and the Arts  12:08 - Exploring Creativity in Mathematics  15:17 - The Relationship Between Structure and Artistic Expression  21:10 - The Cicada's Prime Number Life Cycle  30:51 - Patterns and Expectations in Art and Comedy  33:09 - The Role of Mathematics in Problem Solving  43:15 - The Importance of Storytelling in Science  46:25 - The Search for Meaning in Numbers  48:13 - The Dual Nature of Scientific Thinking  Marcus' Book recommendations are: A Mathematician's Apology by G.H. Hardy   /////

This episode explores the reality that every employee contributes both positive and toxic elements to the workplace, and teaches leaders how to recognize, balance, and manage both sides effectively.Host: Paul FalavolitoConnect with me on your favorite platform: Facebook, Twitter, Instagram, TikTok, LinkedIn, Substack, BlueSky, Threads, DiscordFree Leadership Resources: www.paulfalavolito.comBooks by Paul FalavolitoThe 7 Minute Leadership Handbook: bit.ly/48J8zFGThe Leadership Academy: https://bit.ly/4lnT1PfThe 7 Minute Leadership Survival Guide: https://bit.ly/4ij0g8yOfficial 7 Minute Leadership MerchGrab exclusive gear and more: linktr.ee/paulfalavolitoPartners & DiscountsFlying Eyes Optics – Best aviator sunglasses on the marketGet 10% off with code: PFAVShop now: flyingeyesoptics.comGatsby Shoes – Dress sneakers built for leaders on the moveUse my affiliate link for 10% off: Gatsby ShoesSubscribe & Listen to My Podcasts:The 7 Minute Leadership Podcast1 PAPA FOXTROT – General Aviation PodcastThe DailyPfav

Welcome to episode #999 of Six Pixels of Separation - The ThinkersOne Podcast. Noah Giansiracusa is an associate professor of mathematics at Bentley University and a visiting scholar at Harvard who has built a reputation for translating the hidden power of algorithms into plain language that empowers individuals. With a PhD in algebraic geometry from Brown, he's always bringing a mathematician's eye to the cultural and social impact of technology. His earlier book, How Algorithms Create and Prevent Fake News, was praised by Nobel Prize–winning economist Paul Romer as “the best guide to the strategies and stakes of this battle for the future.” In his latest book, Robin Hood Math - Take Control Of The Algorithms That Run Your Life, Noah shows how banks, insurers, tech giants and governments use algorithms to make decisions that shape our lives, and how ordinary people can reclaim agency using simple mathematical tools. At a time when our feeds, finances and even friendships are increasingly mediated by code, Noah argues that math can be a democratizing force: a way to cut through the opacity of “black box” systems, understand who benefits from them, and make better choices in daily life. His work emphasizes that algorithms are neither inherently good nor bad, they tilt the balance of power depending on who wields them. By unpacking formulas like the weighted sum that underpins credit scores, college rankings and even TikTok virality, he provides a way to see through the manipulation and complexity. In this episode, Noah discusses the double-edged nature of technology, the transparency gap in digital platforms, the cultural consequences of algorithm-driven media and why math education must evolve to reflect the algorithmic realities students are already living. For anyone curious about reclaiming autonomy in a world increasingly designed by machines, his message is clear: a little math can go a long way in leveling the playing field. Enjoy the conversation... Running time: 1:05:57. Hello from beautiful Montreal. Listen and subscribe over at Apple Podcasts. Listen and subscribe over at Spotify. Please visit and leave comments on the blog - Six Pixels of Separation. Feel free to connect to me directly on Facebook here: Mitch Joel on Facebook. Check out ThinkersOne. or you can connect on LinkedIn. ...or on X. Here is my conversation with Noah Giansiracusa. Robin Hood Math - Take Control Of The Algorithms That Run Your Life. How Algorithms Create and Prevent Fake News. Check out Noah's podcast: AI In Academia: Navigating The Future. Follow Noah on Instagram. Follow Noah on LinkedIn. Chapters: (00:00) - Understanding Algorithms and Their Impact. (03:11) - The Dual Nature of Technology. (06:05) - Agency in an Algorithmic World. (09:00) - The Centralization of Algorithms. (11:53) - The Role of Math in Understanding Algorithms. (15:04) - Practical Applications of Algorithm Understanding. (19:07) - Engagement and Its Consequences. (24:06) - Navigating Social Media Dynamics. (27:54) - The Future of AI and Algorithms. (37:28) - Understanding AI: Generative vs Traditional. (39:59) - The Impact of AI on Social Media. (41:25) - Data as the New Oil: Advertising and Efficacy. (44:51) - Transparency in Technology and Advertising. (48:19) - Bridging the Gap: Understanding Algorithms. (51:56) - The Power Dynamics of Technology. (53:58) - Reclaiming Agency Through Math. (56:49) - Rethinking Math Education for the Modern World. (01:00:42) - Simplicity in Complexity: Understanding Algorithms. (01:03:51) - Finding Relevance in Math.

As a listener of TOE you can get a special 20% off discount to The Economist and all it has to offer! Visit https://www.economist.com/toe In this episode, I speak with Matthieu Pageau, author of The Language of Creation. This is a rare (and almost unbelievable) interview. With a high degree of likelihood, I can say that this interview, if watched all the way until the end, will change your life. Pageau argues that Satan is first a function—the tester and accuser—before a villain. Think Job's auditor or a hired penetration tester. When will-to-power takes over, the function falls. He lays out a symbolic grammar: heaven as plan, earth as materials. Water renews. The feminine crowns and renovates forms. Abraham and Moses act as faithful adversaries. Adam and Eve show what secrecy breaks. Borderline stories like Tamar and Ruth trace exile and redemption. Pageau speaks from his own exile, leaning Orthodox/Catholic, critiquing without grasping for power, and letting reality correct him. Join My New Substack (Personal Writings): https://curtjaimungal.substack.com Listen on Spotify: https://open.spotify.com/show/4gL14b92xAErofYQA7bU4e Timestamps: - 00:00 - Who Are You? (Identity as Relational vs. Self-Defined) - 04:54 - How Matthieu's Project Differs From His Brother's (Jonathan Pageau) - 10:25 - The God-Created Function of Satan vs. The Fallen Entity - 18:34 - Are Internal Critics “Functional Satanists”? - 23:02 - Satan in the Book of Job: The Divine Hacker - 27:50 - The Axioms of Reality: A Computer Scientist's Worldview - 32:08 - Heaven as “The Plan,” Earth as “The Materials” - 36:50 - The Dual Nature of Chaos (Symbolism of Water) - 44:08 - Why Are Women Central to the Resurrection Story? - 49:14 - The Simple Act That Could Have Prevented “The Fall” - 52:18 - Gödel's Incompleteness Theorem as the ‘Feminine' Crown - 59:31 - Redeeming the Exiled: The Pattern of Ruth - 1:05:00 - A Christian in Exile: Matthieu's Spiritual Homelessness - 1:16:15 - How to Escape Metaphysical Exile - 1:21:44 - The Will to Power: When Criticism Becomes Corrupt - 1:26:53 - The Paradox: Why You MUST Believe Yours is ‘The Real Church' - 1:34:25 - What ‘Nature' Truly Means - 1:47:44 - Why Renewal, Updating, and Competition Are ‘Feminine' - 1:55:10 - The Story of Tamar: Deception as Righteous Renewal - 2:01:00 - How to Read the Bible Symbolically - 2:09:51 - Why Symbolism Applies to Stories, Not Raw Data - 2:21:34 - The ‘Dangerous' Vision That Birthed The Book - 2:31:31 - Mind vs. Spirit vs. Outlook (And The Final Paradox) Links Mentioned: - The Language Of Creation [Book]: https://www.amazon.com/Language-Creation-Symbolism-Genesis-Commentary/dp/1981549331/ref=tmm_pap_swatch_0 - Jonathan Pageau [TOE]: https://youtu.be/X3co_AA6yec - Wolfgang Smith [TOE]: https://youtu.be/vp18_L_y_30 - Claudia de Rham [TOE]: https://youtu.be/Ve_Mpd6dGv8 - Leo Gura [TOE]: https://youtu.be/YspFR9JAq3w - The Story Of The Fall: https://www.biblegateway.com/passage/?search=Genesis%203&version=NIV - The Most Abused Theorem In Math [TOE]: https://youtu.be/OH-ybecvuEo SUPPORT: - Become a YouTube Member (Early Access Videos): https://www.youtube.com/channel/UCdWIQh9DGG6uhJk8eyIFl1w/join - Support me on Patreon: https://patreon.com/curtjaimungal - Support me on Crypto: https://commerce.coinbase.com/checkout/de803625-87d3-4300-ab6d-85d4258834a9 - Support me on PayPal: https://www.paypal.com/donate?hosted_button_id=XUBHNMFXUX5S4 SOCIALS: - Twitter: https://twitter.com/TOEwithCurt - Discord Invite: https://discord.com/invite/kBcnfNVwqs Guests do not pay to appear. Theories of Everything receives revenue solely from viewer donations, platform ads, and clearly labelled sponsors; no guest or associated entity has ever given compensation, directly or through intermediaries. #science Learn more about your ad choices. Visit megaphone.fm/adchoices

Matt Slick Live (Live Broadcast of 08/27/2025) is a production of the Christian Apologetics Research Ministry (CARM). Matt answers questions on topics such as: The Bible, Apologetics, Theology, World Religions, Atheism, and other issues! You can also email questions to Matt using: info@carm.org, Put "Radio Show Question" in the Subject line! Answers will be discussed in a future show. Topics Include: Matt Announces The Release of New WebSite Articles—Priesthood Table of The RCC and EO, Levels of Reward in Heaven/The Need to Equip The Saints so We Can Reach The Lost/ Caller Wants to Know if Matt Has a "Go To" Bible Verse to Live By/Which Translation Does He Prefer, and Why there are Currently so Many/ Matt Discusses the Current State of Artificial Intelligence for Websites/Email Question—A "Oneness" Dress Issue/ Can God Destroy a "Spirit?"/Why Eternal "Punishment" Requires Experience/ Matt Discusses Problems with "Soul Sleep" and "Annihilationism"/How this Relates to The Dual Nature of Jesus/A "Oneness" Problem Examined/ 1 Peter 2:8—Does God Appoint Disobedience?/ August 27, 2025

In this episode, I sit down with herbalist and wellness guide Rachelle Robinett. RH(AHG). to talk about her inspiring journey from the fashion industry to the world of herbalism and plant-based healing. We explore what it means to reclaim the divine feminine through rituals, emotional healing, and connection to plant consciousness.We dive into how nature shapes identity, why rituals should be non-negotiable in our self-care routines, and how plants act as emotional and spiritual allies—especially in urban environments like New York City. This conversation touches on themes of embodied feminism, wellness, and the revolutionary act of slowing down and tuning in.

Today on Ascend the Greek Books Podcast, we wrap up our exploration of the Greek plays with a lively roundtable discussion. Our panel of friends delves into the key themes of the tragic plays, including divinity, eros, fate, justice, the cosmos, virtue, and suffering.We explore plays such as the Oresteia, Prometheus Bound, the Theban plays, and the Bacchae, with insights from Homer, Hesiod, and Aristophanes. Don't miss this engaging conversation as we prepare to embark on our next journey with Plato.Visit thegreatbookspodcast.com for our reading schedule!Visit our Patreon page for written guides and a community chat on Plato!SummaryIn this episode of the Great Books Podcast, the hosts and guests engage in a round table discussion about key themes in Greek plays, including divinity, Eros, fate, and free will. They share their favorite plays and insights gained from their readings, exploring how these themes evolve from Homer to later playwrights. The conversation highlights the complexity of Eros as both a binding force and a source of mania, as well as the characters' limited agency in the face of divine intervention.The discussion culminates in a reflection on the implications of these themes for understanding Greek literature and philosophy. The conversation explores the themes of fatalism versus determinism, agency in Greek tragedy, the role of the gods, the evolution of justice, the nature of the cosmos, virtue, and the purpose of suffering. The speakers discuss how these themes are interwoven in the works of Homer and Aeschylus, highlighting the complexity of human actions, moral order, and the divine influence in Greek thought.Chapters00:00 Introduction and Personal Updates06:38 Favorite Plays and Surprising Discoveries12:25 The Maturation of Thought on Divinity19:40 The Splintering and Obsessive Qualities of the Gods23:57 The Tension Between the Divine and Natural Phenomena25:47 Exploring the Concept of Divinity43:00 The Dual Nature of Eros55:54 Debating Fate and Free Will59:39 Plato's Symposium: Eros as Ascent01:01:30 The Interplay of Fate and Human Agency01:14:53 Justice and Retribution in Homer's Epics01:32:13 The Maturation of Justice in Aeschylus' Plays01:39:14 The Challenge of Justice in the Story of Oedipus01:44:40 The Redemptive Power of Suffering01:50:55 The Influence of the Cosmos on Virtue and Piety01:59:58 The Crucifixion: Suffering and Redemption02:09:28 Sharing the Wisdom: Importance of Discussion02:17:07 Insights into Justice, the Cosmos, Virtue, and SufferingKeywords: Greek plays, divinity, Eros, fate, free will, themes, literature, philosophy, podcast, discussion, fatalism, determinism, agency, Greek tragedy, justice, cosmos, virtue, suffering, Homer, AeschylusHashtags: #GreekPlays #Tragedy #Philosophy #GreatBooks

In today's episode, Tom pulls back the curtain on the hard truths that shape our world, diving into the bloody history and cold calculations that drive geopolitics. Using the concept of “realpolitik” as his lens, Tom explores why nations act not according to ideals, but ruthless self-interest, and how this approach accurately predicts the cycles of conflict, power struggles, and shifting borders that have marked human history. From Genghis Khan to today's nuclear standoffs, Tom examines why humanity's dual capacity for both devastating violence and breathtaking kindness continues to shape the fate of nations. You'll learn the nine core tenets of realpolitik, see how power and survival instincts play out on the global stage, and discover why understanding the unvarnished reality of how nations operate is essential—not just for world leaders, but for anyone who wants to protect and thrive in today's chaotic world. But this isn't just a journey through the darkness of history and politics. Tom also shows how culture, empathy, and pragmatism temper our most savage impulses, offering hope even amidst turmoil. By the end, you'll have a clear-eyed framework for understanding global events, decoding market movements, and safeguarding your freedom in uncertain times. Get ready to challenge your assumptions and build a worldview that actually works. This episode will change the way you see the world—and your role in it. 00:00 Intro 05:09 Understanding Realpolitik: Power Over Ideals 08:20 Realism: Survival in Global Anarchy 12:10 Realpolitik and Brutal History 15:54 Realpolitik and Historical Ruthlessness 18:45 "Truth Over Idealism" 22:57 "Group Bias from Random Assignment" 25:16 Dual Nature of Humanity 29:57 "Human Nature and Realpolitik" 30:44 "Burnham's Elite-Mass Division Insight" 34:35 NATO Expansion Provokes Russian Response 38:58 US-Iran Relations: Realist Perspective 40:02 U.S.-Iran Conflict: Power Over Ideology 45:47 Power, Freedom, and Realpolitik 46:46 "Predicting Politics Beyond Morality" CHECK OUT OUR SPONSORS Vital Proteins: Get 20% off by going to https://www.vitalproteins.com and entering promo code IMPACT at check out Allio Capital: Macro investing for people who want to understand the big picture. Download their app in the App Store or at Google Play, or text my name “TOM” to 511511. iTrust Capital: Use code IMPACTGO when you sign up and fund your account to get a $100 bonus at https://www.itrustcapital.com/tombilyeu  SleepMe: Visit https://sleep.me/impact to get your Chilipad and save 20% with code IMPACT. Try it risk-free with their 30-night sleep trial and free shipping. Shopify: Sign up for your one-dollar-per-month trial period at https://shopify.com/impact SKIMS: Shop SKIMS Mens at https://www.skims.com/impact #skimspartner ButcherBox: Ready to level up your meals? Go to https://butcherbox.com/impact to get $20 off your first box and FREE bacon for life with the Bilyeu Box! Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of the Crypto 101 podcast, hosts Bryce and Brendan engage with David Carvalho and David Holtzman, founders of Naoris Protocol, to discuss the critical intersection of cybersecurity and quantum computing. They explore the vulnerabilities of centralized systems, the urgent need for quantum resilience, and how Naoris Protocol aims to secure digital infrastructures against emerging threats. The conversation delves into the implications of quantum technology, the importance of decentralization, and the future of digital security in a rapidly evolving technological landscape.Chapters00:00 Introduction to Crypto 101 Podcast01:05 Meet the Founders of Naoris Protocol02:11 David Carvalho's Background in Cybersecurity03:54 The Threat of Quantum Computing09:19 Decentralization vs Centralization in Cybersecurity14:07 Naoris Protocol: A Solution for Quantum Resilience17:16 The Timeline of Quantum Computing20:14 The Urgency of Quantum Resilience27:23 The Dual Nature of Quantum Technology31:47 The Future of Digital Security with Nara's Protocol35:32 Real-World Applications and Case Studies38:13 The Scalability Dilemma in DecentralizationCheck out Gemini Exchange: https://gemini.com/cardCheck out Plus500: https://plus500.comCheck out CigarBid and use my code CRYPTO101 for a great deal: https://cigarbid.com/Crypto101Get immediate access to my entire crypto portfolio for just $1.00 today! https://www.cryptorevolution.com/cryptnation-directGet your FREE copy of "Crypto Revolution" and start making big profits from buying, selling, and trading cryptocurrency today: https://www.cryptorevolution.com/freeMERCH STOREhttps://cryptorevolutionmerch.com/Subscribe to YouTube for Exclusive Content:https://www.youtube.com/@crypto101podcastFollow us on social media for leading-edge crypto updates and trade alerts:https://twitter.com/Crypto101Podhttps://instagram.com/crypto_101Guest Link:https://www.naorisprotocol.com/https://x.com/NaorisProtocol?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor*This is NOT financial, tax, or legal advice*Boardwalk Flock LLC. All Rights Reserved 2025. ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Fog by DIZARO https://soundcloud.com/dizarofrCreative Commons — Attribution-NoDerivs 3.0 Unported — CC BY-ND 3.0 Free Download / Stream: http://bit.ly/Fog-DIZAROMusic promoted by Audio Library https://youtu.be/lAfbjt_rmE8▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Our Sponsors:* Check out Gemini Exchange: https://gemini.com/card* Check out Plus500: https://plus500.comAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

Want a powerful tool that doesn't cost a fortune? Omnisend has everything you need to scale your store - for a fraction of the price. Click here to start for free: https://your.omnisend.com/codiesanchez30 Codie and Brendan discuss the profound impact AI will continue to have on the business world, including how it will affect day to day business, the workforce, and even interpersonal relationships. They discuss the dual nature of AI as both a potential job creator and destroyer, the role of regulation in technological advancement, and the historical context of technological change. Maintaining human purpose and autonomy in an increasingly automated world is emphasized, alongside the need for community engagement and the cultivation of a new generation of thinkers to navigate the challenges posed by AI.  If you are ready to buy a business, get on a call with my team to learn how we can support you: https://contrarianthinking.typeform.com/to/WBztXXID?typeform-source=www.youtube.com Chapters 00:00 The Dual Nature of AI's Impact on Society 02:55 Navigating Job Displacement and Creation 05:56 The Role of Regulation in Technological Advancement 08:48 The Historical Context of Technological Change 12:02 The Future of Work and Human Purpose 15:04 The Importance of Human Agency in AI 17:48 The Philosophical Implications of AI Relationships 20:46 Building a New Generation of AI Thinkers 24:05 The Role of Community in a Technological World 26:58 The Quest for Autonomy in an AI-Driven Society 01:01:29 Navigating Relationships and AI Dependence 01:03:55 The Ethics of AI and Human Interaction 01:09:12 AI in Healthcare: Risks and Benefits 01:12:35 The Role of AI in Governance and Decision Making 01:17:41 The Future of AI: Autonomy and Labor 01:24:03 Competing in an AI-Driven Economy 01:30:01 Cosmos Institute: Bridging Philosophy and Technology 01:35:22 Lessons from Success: Philosophy and Learning MORE FROM BIGDEAL:

A weekly midrash shiur taught by R. Marcus Rubenstein on Sundays at 10am.

Today, we're picking up with the second part of my conversation with Jodi Berg, the former President & CEO of Vitamix.In Part 1, we explored Jodi's career, the history, evolution, and family legacy of Vitamix, and her leadership journey in growing the company into the global brand it is today.In Part 2, we continue with her reflections on stepping away from the business—and dive deeper into her philosophy of purpose, the DANCE framework she's developing to help others lead more intentional lives, and the wisdom she's distilled from decades of research, teaching, and hands-on leadership and entrepreneurial experience.It's a wide-ranging, deeply thoughtful conversation about what it means to live and lead with purpose—not to mention, a lot of fun. I'm so excited to share it with you.00:00:00 - Reflecting on Leadership and Culture  00:04:25 - Succession Planning in Family Businesses  00:06:56 - Navigating Leadership Transitions  00:13:44 - The Importance of Purpose  00:15:18 - Personal Experiences Shaping Purpose  00:19:34 - Helping Others Find Their Wings  00:26:33 - The Dual Nature of Purpose  00:35:23 - Impact of Personal Purpose on Company Culture  00:41:26 - The Impact of Personal Purpose  00:46:51 - Understanding and Helping Others  00:47:27 - Writing a Purpose-Driven Book  00:48:39 - The DANCE Framework for Decision-Making  00:56:20 - The Importance of Purpose in Decision-Making  01:02:42 - Discovering Superpowers and Purpose  01:03:26 - Innovating the Blender: A New Approach  01:10:05 - Technology and Purpose in Business  01:14:53 - Hidden Gem-----LINKS:https://www.linkedin.com/in/jodilberg/https://www.vitamix.com/us/en_us/Original Vitamix Infomercial: https://www.youtube.com/watch?v=Rm5IzzGPzQA-----SPONSOR:Roundstone InsuranceRoundstone Insurance is proud to sponsor Lay of The Land. Founder and CEO, Michael Schroeder, has committed full-year support for the podcast, recognizing its alignment with the company's passion for entrepreneurship, innovation, and community leadership.Headquartered in Rocky River, Ohio, Roundstone was founded in 2005 with a vision to deliver better healthcare outcomes at a more affordable cost. To bring that vision to life, the company pioneered the group medical captive model — a self-funded health insurance solution that provides small and mid-sized businesses with greater control and significant savings.Over the past two decades, Roundstone has grown rapidly, creating nearly 200 jobs in Northeast Ohio. The company works closely with employers and benefits advisors to navigate the complexities of commercial health insurance and build custom plans that prioritize employee well-being over shareholder returns. By focusing on aligned incentives and better health outcomes, Roundstone is helping businesses save thousands in Per Employee Per Year healthcare costs.Roundstone Insurance — Built for entrepreneurs. Backed by innovation. Committed to Cleveland.-----Stay up to date by signing up for Lay of The Land's weekly newsletter — sign up here.Past guests include Justin Bibb (Mayor of Cleveland), Pat Conway (Great Lakes Brewing), Steve Potash (OverDrive), Umberto P. Fedeli (The Fedeli Group), Lila Mills (Signal Cleveland), Stewart Kohl (The Riverside Company), Mitch Kroll (Findaway — Acquired by Spotify), and over 200 other Cleveland Entrepreneurs.Connect with Jeffrey Stern on LinkedIn — https://www.linkedin.com/in/jeffreypstern/Follow Lay of The Land on X @podlayofthelandhttps://www.jeffreys.page/

Zuby is an independent author, podcast host, and creative entrepreneur with over 2 million followers, known for viral social commentary on society, culture, and personal development. He's a passionate Bitcoin advocate, championing its potential for individual empowerment and economic freedom.› https://x.com/ZubyMusic› https://www.youtube.com/@ZubyMusicPARTNERS

In this episode of the 13 Moons Podcast, Sam and Leila explore the significance of the full moon in Ophiuchus, discussing its relevance to women's empowerment and healing. They delve into the mythology surrounding Ophiuchus and Medusa, examining the dual nature of serpent energy and its implications for the divine feminine. The conversation highlights the need for women to reclaim their power and the importance of understanding the historical context of healing practices. The episode concludes with reflections on the awakening of women and the transformative potential of the full moon.Get your Real Sky Astrology Birth Chart here! Listeners of the 13 Moons Podcast receive $30 discount with this link: https://masteringthezodiac.com/sidereal-report?partner-discount=1055Ophiuchus: https://www.constellation-guide.com/constellation-list/ophiuchus-constellation/Medusa: https://www.discoverwalks.com/blog/world/the-mythical-medusa-10-facts-that-will-surprise-you/TakeawaysThe full moon in Ophiuchus represents a time of healing and transformation.Medusa's story symbolises the power and fear associated with the divine feminine.The serpent energy embodies both healing and destruction, reflecting the duality of nature.Women have historically been marginalised in healing practices, which needs to change.The foundations of the medical system overlooks the unique physiology of women.Awakening to the truth of womanhood is essential for personal and collective healing.Menopause is not a medical condition but a significant spiritual transition for women.The conversation encourages women to support each other and reclaim their power. 00:00 Introduction to the 13 Moons Podcast02:40 The Significance of the Full Moon in Ophiuchus05:47 Understanding the 13th Sign and Its Relevance08:30 The Myth of Ophiuchusand Healing11:30 The Story of Medusa and Its Implications14:24 The Power of the Serpent and Healing17:08 The Intersection of Feminine Power and Healing19:55 The Role of Women in Healing and Society22:45 The Symbolism of Snakes in Healing25:29 Conclusion and Reflections on Healing and Power32:23 The Dual Nature of Healing and Harm35:37 Kundalini Energy and Human Potential37:34 Transformation Through Destruction39:34 Awakening to Our DNA Potential43:35 The Serpent as a Symbol of Transformation46:38 Reptilian Wisdom and Female Empowerment52:06 The Legacy of Patanjali and Serpent Energy54:02 The Power of the Divine FeminineListener Questions57:57 Listener Question: What's with Christianity rejecting anything "witchy"? And the belief that the serpent/snake must be cast out. 01:03:57 Listener Question: Why does the health services industry as a whole seem as so unaware of perimenopause and its varying presentations. Why it's so mis-diagnosed. Missed. Dismissed. And why there is so little information and genuinely helpful help around this.

Dive into the world of artificial intelligence (AI)—a tool that's revolutionizing real estate—but not without spiritual implications. In this timely episode of Garrett Maroon and Bianka Downs unpack this challenging topic.Together, they explore how Christian agents can engage with AI through the lens of faith, wisdom, and purpose. Bianca introduces her Soul Framework—Stewardship, Obedience, Understanding, and Love—as a biblical compass for integrating technology into business while staying anchored in Christ.If you've felt unsure about AI, this conversation will equip you with discernment, strategy, and peace as you explore the intersection of technology and theology.

Dr. Barbara Moscicki discusses the critical role of HPV in women's health, particularly its association with various cancers, including cervical cancer. She explains the dual nature of HPV as both a commensal organism and a pathogen, emphasizing the importance of understanding its oncogenic potential. The conversation also covers the significance of screening methods, such as Pap smears, in detecting precancerous changes and the complexities surrounding the treatment of different cervical intraepithelial neoplasia (CIN) stages. This conversation delves into the complexities of cancer screening methods, particularly focusing on cervical and anal cancer. Dr. Barbara Moscicki discusses the importance of understanding various screening guidelines, the role of HPV vaccination in preventing cancers, and the need for clear communication between clinicians and patients regarding these topics. The discussion highlights the evolving nature of cancer screening practices and the importance of patient education in navigating these changes.About Our Guest:Dr. Moscicki is a Pediatrician, Board Certified in Adolescent Medicine. She is the current Division Chief of Adolescent and Young Adult Medicine with clinical expertise in reproductive health care for menstrual irregularities, sexual health, and sexually transmitted diseases. Dr. Moscicki has expertise in HPV -related disease including diagnosis of cervical dysplasia and treatment. She also offers medical care for women with eating disorders.Resources & Links:This episode was supported by the Patient Centered Outcomes Research Institute (PCORI) and features the PCORI research study here: https://pubmed.ncbi.nlm.nih.gov/33632649/ ‘Effect of 2 Interventions on Cervical Cancer Screening Guideline Adherence'Chapter Codes00:00 Introduction to HPV and Women's Health03:00 Understanding HPV's Role in Cancer06:01 The Dual Nature of HPV: Commensal vs Pathogenic08:57 Oncogenes and Their Impact on Cellular Regulation12:09 The Intersection of HPV and Screening Methods14:58 Cervical Cancer Screening and Pap Smears20:30 Understanding Cancer Screening Methods23:17 Guidelines for Cervical and Anal Cancer Screening31:02 The Importance of HPV Vaccination39:35 Key Messages for Clinicians and PatientsTakeaways- Dr. Moscicki specializes in adolescent and young adult medicine.- HPV is linked to multiple cancers beyond cervical cancer.- The understanding of HPV's role in cancer has evolved significantly.- E6 and E7 proteins from HPV disrupt normal cell regulation.- CIN3 is considered a true pre-cancer that requires treatment.- Liquid cytology has improved the accuracy of Pap smears.- CIN1 is often self-resolving and does not require treatment.- CIN2 presents a diagnostic dilemma due to variability in interpretation.- Women have options regarding the management of CIN2 lesions.Connect with Us:Enjoyed this episode? Make sure to subscribe, rate, and review! Follow us on Instagram, Facebook, or Linkedin @mantacares and visit our website at mantacares.com for more episodes and updates.Listen Elsewhere: Website: https://mantacares.com/pages/podcast?srsltid=AfmBOopEP5GJ-Wd2nL-HYAInrw YouTube: https://www.youtube.com/@mantacares Spotify: https://open.spotify.com/episode/3TR1lFLtf6em5YyKtlWy2L?si=6ma-9g_w Apple: https://podcasts.apple.com/us/podcast/navigating-cervical-cancer-screening-surger Disclaimer:All content and information provided in connection with Manta Cares is solely intended for informational and educational purposes only. This content and information is not intended to be a substitute for medical advice, diagnosis, or treatment. Always seek the advice of your physician or other qualified health provider with any questions you may have regarding a medical condition.This episode was supported by an award from the Patient-Centered Outcomes Research Institute.

In this conversation, Hayley and Stephanie Painter, co-founders of Painterland Sisters, share their journey as fourth-generation organic dairy farmers. They discuss their childhood experiences on the farm, the values instilled in them, and how these experiences shaped their approach to business and agriculture. The sisters emphasize the importance of community, integrity, and creating nutrient-dense products, like their Skyr yogurt. They reflect on the challenges and perceptions faced by farmers and the entrepreneurial spirit that drives their mission to connect consumers with quality food sourced from family farms. In this conversation, Hayley and Stephanie Painter discuss the importance of empowering farmers through education, community connection, and financial incentives. They emphasize the role of mentorship in agriculture, the power of storytelling to connect consumers with their food sources, and the impact of funding on their brand's future. They also share personal insights and advice, culminating in their vision for a better world through sustainable agriculture. Takeaways:Growing up on a farm instills deep-rooted values and work ethic.Childhood experiences on the farm shape adult perspectives and business practices.Traveling broadens horizons and influences business decisions.Farmers are inherently entrepreneurs, learning business from family traditions.Integrity in farming leads to better quality products.The importance of community and relationships in agriculture.Understanding the balance of nature is crucial for sustainable farming.Education can challenge traditional farming practices and perceptions.Creating nutrient-dense products is a priority.The journey of building a business involves learning from failures.Farmers are reacting a lot of times and doing the best they can with the situations that they're in.It's all about the process and spectrum of betterment for the land.There are many programs that provide financial incentives for farmers.Our dream is to get all farmers more financially stable.Mentorship plays a crucial role in agriculture.Storytelling is powerful in connecting consumers to their food.Funding helps us build credibility and stability for our brand.A better world means diversity in agriculture and food supply chains that are thriving for future generations.We need to keep farmers farming to ensure food security.Sound Bites:“Farming is literally our roots and our DNA.""We grew up on hard work and community, love, family, and being connected to nature.”"Farmers are entrepreneurs. We watched our parents and our grandparents run the farm, which is a business. It's was our first education.“"We learned business isn't just transactional."“Our goal is to provide the most nutrient dense product we can. So we choose to keep all those nutrients in there instead of extracting and selling them off as byproducts and replacing them with fillers."We like to give the credit back to the farmers.”“There are a lot of programs with financial incentives out there right now, to help farmers make improvements they  may not be able to financially afford otherwise. These grants have really helped them.”“We can have all the information we want about regenerative organic agriculture and all these big concepts, but if you don't know how to like make that information digestible and fun, it's not going to hit the way it needs to.”“A better world is a world with diversity, equity, and parity across the food supply chain.”"Keep farmers farming first and foremost."Chapters:03:00 - Roots of Farming: A Family Legacy05:59 - Childhood Adventures and Life Lessons on the Farm09:00 - The Dual Nature of Farm Life: Balancing Tradition and Exploration14:59 - Pride in Agriculture: Overcoming Societal Perceptions21:08 - Education and Entrepreneurship: Building a Business from the Ground Up27:00 - Creating Nutrient-Dense Products: The Journey to Skir Yogurt32:51 - The Integrity of Farming: Maintaining Quality in Production39:25 - Empowering Farmers Through Education and Connection42:48 - Financial Incentives and Sustainable Practices46:56 - Mentorship and Community in Agriculture51:02 - The Power of Storytelling in Agriculture53:53 - Funding and Future Vision for the Brand57:56 - Personal Insights and Advice62:59 - A Better World Through Agriculture

Does "flesh" have a nature? Was JESUS a man of flesh before Adam's sin or after? How JESUS worked salvation in and of Himself alone.

In this episode, we dive deep into the esoteric teachings of Helena Petrovna Blavatsky, co-founder of the Theosophical Society and one of the most influential occult thinkers of the nineteenth century. Focusing on her mature doctrine of reincarnation as outlined in The Secret Doctrine (1888), we explore how Blavatsky moved away from earlier notions of metempsychosis to formulate a complex cosmology in which the soul—or monad—undergoes countless rebirths across vast spans of cosmic time.Drawing on Theosophical anthropology, planetary evolution, and the doctrine of karma, this episode unpacks Blavatsky's concept of the saptaparna, the sevenfold human constitution, and the soul's gradual progression through root races, planetary rounds, and astral realms. We examine how Blavatsky's vision was both impersonal and democratic, placing individual suffering within a broader metaphysical narrative of spiritual evolution and cosmic justice.CONNECT & SUPPORT

Worried about the impact your teen's friends are having on them? You're not alone—and it's not as simple as “good” or “bad” peer pressure. In this episode of Parenting Teens with Dr. Cam, I sit down with peer influence expert Dr. Brett Laursen to unpack how friendships actually shape teen behavior (often for the better!) and how parents can stay influential without being controlling. Dr. Laursen, who has decades of research tracking teen friendships across multiple countries, shares surprising insights that can help you guide your teen through the tricky world of social dynamics, middle school transitions, and online influence. If you've ever wondered, "Am I losing my teen to their friends?" — this conversation is a must-listen. WHAT YOU'LL LEARN IN THIS EPISODE Why peer pressure isn't always a bad thing and can actually drive positive behavior in teens How to stay relevant as a parent even when friends seem to have more influence What to do (and NOT do) if you're worried about your teen's friends How online and real-world friendships impact vulnerable teens differently 5 KEY TAKEAWAYS FOR PARENTS OF TEENS Friendship first, influence second: Teens choose friends who are similar to them, not the other way around. Middle school changes everything: The shift from adult-centered to peer-centered social life demands a new parenting approach. Stay connected, don't compete: Your teen needs a supportive parent, not a rival for attention. Opportunities, not ultimatums: Help your teen find better friendships by fostering their interests, not forcing social changes. Humanize yourself: Teens respect advice more when they see you as a real person, not just an authority figure.

Jeff, Gianna, and Michael explore the challenges and responsibilities of living as a Christian community in today's world. They discuss the importance of embodying the teachings of Jesus, particularly the Sermon on the Mount, and the need to focus on community engagement rather than just individual conversion. They highlight the tension between political power and the cross-shaped life that Jesus exemplified, urging listeners to consider how they can live out their faith collectively in a way that reflects the values of Christ. 00:00 Understanding Exile in the Christian Community03:49 The Dual Nature of Exile15:00 The Exilic Gospel and Community17:05 Jesus and the Subversion of Power29:55 Living Out the Exilic Identity32:51 Building a Christ-Centered Community34:42 The Challenge of Individualism in Faith37:51 Preparing for a Life Together40:52 The Shape of Christian Community42:43 Living as Exiles in a Political World46:45 The Power of the Cross vs. Political Power51:38 Embodying the Teachings of Jesus55:30 Conversion vs. Community Living58:49 Trusting in Christ's Alternative Way of Life

A new MP3 sermon from Alpha and Omega Ministries is now available on SermonAudio with the following details: Title: Road Trip - The Dual Nature of Christ: Fully God, Fully Man Subtitle: Road Trips 2025 Speaker: Dr. James White Broadcaster: Alpha and Omega Ministries Event: Teaching Date: 4/2/2025 Length: 56 min.

In this heartfelt conversation, Heather Straughter shares her profound journey through grief after the loss of her son, Jake. She discusses the pivotal moments that shaped her path, the importance of community support, and the ongoing nature of grief. Heather reflects on the complexities of acknowledging loss, the unexpected triggers that can arise, and her evolving perspective on grief hierarchies. Through her experiences, she emphasizes the significance of finding one's own way to cope and the power of humor in navigating the dark moments of grief. In this conversation, Heather Straughter shares her personal journey through grief after the loss of her son, Jake. She discusses societal expectations surrounding grief, the dual nature of grief as both painful and transformative, and the importance of community support. Heather also talks about the creation of her podcast, 'A Place of Yes,' aimed at sharing stories of families dealing with similar challenges, and her mission to help families navigate the complexities of caring for children with special needs. The conversation emphasizes the need for compassion, understanding, and proactive support for grieving families. Follow: Jake's Help From Heaven A Place Of Yes Podcast on Instagram Chapters 00:00 Introduction and Personal Connection 01:41 The Impact of Grief on Life Choices 02:50 Navigating Grief and Community Support 08:21 The Ongoing Nature of Grief 10:33 The Complexity of Grief and Acknowledgment 12:26 Triggers and Unexpected Moments of Grief 15:59 The Hierarchy of Grief 18:23 Coping Mechanisms and Humor in Grief 22:09 The Dark Side of Grief 24:22 Unspoken Aspects of Grief 26:07 Finding Your Own Path in Grief 29:20 Navigating Grief: Societal Expectations and Personal Experiences 32:43 The Dual Nature of Grief: Pain and Growth 36:47 Creating a Supportive Community: The Birth of a Podcast 42:06 Expanding the Mission: Helping Families Beyond Local Boundaries 54:16 Words of Comfort: Supporting Grieving Families

This week we are going one step deeper into exploring confidence and why it's such an essential component of personal growth and happiness. Throughout the episode, I reflect on my personal experiences with confidence, both as a skill nurtured in my upbringing and as an evolving practice in my adult life. I candidly share how confidence allows for better decision-making and offer insights from my journal.  Imagine what a boost of confidence could change in your life right now? I encourage you to join my upcoming workshop, "Calm, Confident, and Unstoppable," on Thurs March 27th at Noon est. I will be teaching how to trust yourself more deeply and shut down the overthinking. Learn how true confidence not only enhances your own life but also contributes positively to the world. I invite you to examine your own confidence levels and consider what it means to you.  Whether it's taking bold actions or practicing restraint, I suggest that confidence can be the key to living a life that's truly aligned with who you are. 3 Main Takeaways for the Listener: Confidence as an Attractive Force: Confidence is more than swagger or bravado; it's a presence and energy that fosters trust and ease in decision-making. It empowers you to own your choices and face challenges with resilience.The Dual Nature of Confidence: True confidence can manifest as bold action or as quiet restraint. It's not just about taking risks but also about knowing when to hold back and protect your peace.Confidence and Personal Growth: By examining and reshaping our stories, we can uncover new possibilities and increase our confidence. This, in turn, enhances our contribution to the world and strengthens our ability to set boundaries and maintain personal sovereignty. You're ready to dive deeper, so join me for the FREE workshop "Calm, Confident, and Unstoppable" this Thursday at noon EST. Let's kick overthinking to the curb together! Register at RobynIvy.com/confident. MORE ABOUT ROBYN IVY Robyn Ivy sees people for a living. Coach, artist,podcast host and trusted intuitive Robyn is a masterful guide for soulful growth.  She helps you get powerfully unstuck and more deeply connected, as she teaches you how to ride the magic carpet of your life. Having spent over 20 years as a commercial photographer she offers a unique toolkit to shift your internal and external lenses to look at things differently. Inner leadership comes from deep practices in mindfulness, creativity, shifting mindset and connecting deeply with nature. She mentors select clients 1:1, hosts the Robyn Ivy Podcast, offers private intuitive sessions, leads groups, circles and retreats. She has been hosting circles since 1998.  Connect with Robyn Ivy here: https://robynivy.com      https://www.instagram.com/robynivy

In this episode of the "Science of Getting Rich" podcast, host Gerald Peters delves into the complexities of human nature, exploring the duality within each of us. He reflects on his personal struggles with balancing the practical and the imaginative sides of his personality, highlighting the ongoing conflict between fear and infinite possibilities. Gerald shares his insights on wealth-building, emphasizing the importance of valuing financial independence over consumerism. He discusses the necessity of maintaining a sustained desire for wealth accumulation and the benefits of investing in assets that generate cash flow, like real estate and stocks. The episode also touches on societal norms that discourage risk-taking and encourages listeners to embrace the higher self that believes in limitless opportunities. Throughout his discourse, Gerald urges listeners to claim their own blueprints for success, harness the power of community, and focus on personal growth as a pathway to achieving their financial aspirations.

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In this episode, Tara and Stephanie discuss the latest developments in AI, focusing on the emergence of human-like robots, ethical concerns, and the implications of self-learning technology. They explore incidents involving AI aggression, the potential for AI to replace human jobs, and the future of AI in society, including its integration with quantum computing. The conversation also touches on personal experiences with AI and the need for responsible programming to ensure positive outcomes.Want to join the conversation? Connect with Tara and Stephanie on TikTok, X, Rumble, YouTube, Truth Social, Facebook, and IG.⁠https://msha.ke/unapologeticallyoutspoken.com00:00 Creepy Developments in AI03:31 The Rise of Human-Like Robots06:30 Concerns Over Human Replacement09:24 AI Incidents and Aggression12:17 Self-Learning Robots and Their Implications15:06 The Ethics of AI and Human Interaction 18:21 The Simulation Hypothesis and AI's Role28:09Exploring the Matrix: AI and Human Existence29:08 The Majorana Particle: A Quantum Leap30:18 Implications for Quantum Computing 32:17 The Future of Technology and Science34:28AI: The Tool or the Threat?37:47 Personal Experiences with AI43:00 The Dual Nature of AI: Benefits and Risks46:51 The Philosophical Questions of AI52:02 The Future of AI and Human Interaction

This Dharma talk was given by Hogen, Roshi at Heart of Wisdom Zen Temple on January 26th, 2025. In this talk Hogen Roshi discusses the importance of having a direct experience of the fundamental nature of reality, our fixed beliefs and its importance in our spiritual practice. ★ Support this podcast ★

E-commerce & Channel Strategy Expert Kara Babb from High Tide Commerce joins Scott to dissect the e-commerce landscape. From navigating Amazon's vendor system to building brand strategies and launching her consultancy, Kara shares unique perspectives. Learn how viral events impact sales, how to manage brand media, and the challenges of implementing e-commerce strategies in large corporations. She also shares her framework to unlock growth, emphasizing cross-functional collaboration and the importance of focusing on business outcomes. Discover how Amazon influences broader business strategies and gain actionable insights for navigating the complexities of multi-channel sales in today's digital age.   Episode Notes: 00:30 - Kara Babb Introduction 01:55 - Kara's Journey in E-Commerce 03:00 - The Vendor Experience at Amazon 04:28 - Transition to Brand Side 06:55 - Brand Media Management 07:32 - The Role of Viral Events 10:10 - Working with Agencies 10:37 - Organizational Dynamics in Large Corporations 14:28 - Key Insights for Unlocking Growth 18:05 - Streamlining Brand Strategy 19:04 - Importance of Cross-Functional Collaboration 20:25 - Navigating Multiple Channels 23:20 - The Dual Nature of Amazon 25:50 - Why Amazon is Not the Solution for Everything 27:00 - Biggest Barriers and Impacts to Conversion 28:43 - Strategizing and Prioritizing   Website: www.hightidecommerce.com LinkedIn: www.linkedin.com/in/karababb   Related Post: Amazon Marketplace Sellers: A Look at Seller Counts and Revenue Performance

#GoalSetting #PersonalDevelopment #SelfImprovement Author, physicist, YouTube legend, and former professional boxer Ed Latimore  returns to discuss his journey as a professional boxer, author, and social media influencer. He shares insights on the importance of mentorship, the impact of family on personal development, and the nuances of marketing and communication. We get into the significance of storytelling in marketing, the challenges and strategies of content creation on platforms like YouTube, and the value of authenticity in building an online presence. Ed emphasizes the need for aspiring creators to start producing content, learn from their experiences, and adapt their strategies for success.00:00 Welcoming Ed Latimore Back04:53 The Importance of Two-Parent Households07:50 Conspiracy Theories and Family Dynamics11:07 Sales and Marketing: Understanding Human Nature13:58 The Art of Communication in Marketing16:48 The Role of Propaganda in Society20:02 Sales vs. Marketing: Two Sides of the Same Coin23:10 The Value of Sales Skills26:01 The Misunderstanding of Sales and Marketing28:58 The Evolution of Ed Latimore's Online Presence31:54 YouTube as a Platform for Growth39:44 The Journey of Learning and Growth42:05 Understanding YouTube's Algorithm48:42 The Importance of Content Length and Engagement52:27 Creating Quality Content and Consistency57:01 The Value of Starting and Iterating01:01:25 Coaching and Personal Transformation01:05:14 The Role of Experience in Content Creation01:16:00 The Dual Nature of Skills and Habits01:17:29 The Importance of Collaboration and Mentorship01:19:20 Investing in Personal Growth and TrainingNot for the mediocre majority: Learn how I get more done in a quarter than most achieve in a decade in 12 Weeks To Peak™ https://wesschaeffer.com/12wConnect with me:X -- https://X.com/saleswhispererInstagram -- https://instagram.com/saleswhispererLinkedIn -- http://www.linkedin.com/in/thesaleswhisperer/#GoalSetting #PersonalDevelopment #SelfImprovement

SUMMARY In this episode, we're diving into the fashion trends of 2025—from bubble skirts and sheer fabrics to capes, pinstripes, and the ever-debated florals. We explore how these trends reflect cultural shifts, influence personal style, and balance between fleeting fashion and timeless wardrobe choices.We also discuss fashion as both self-expression and a social cue, touching on sustainability, thriftability, and DIY approaches. We explore how to embrace trends in a way that aligns with personal style while considering their long-term impact.CHAPTERS00:00 Exploring 2025 Fashion Trends03:10 The Longevity of Trends in Personal Style06:05 The Dual Nature of Fashion: Individuality vs. Trends09:01 Bubble Skirts: A Nostalgic Trend12:03 The Versatility of Sheer Fashion15:13 Pinstripes: A Timeless Classic17:57 Peep Toes: A Retro Revival24:55 Exploring Color Trends in Fashion30:31 The Rise of Capes and Draping Silhouettes33:35 Florals: A Timeless Yet Controversial Trend37:37 Personalization in Accessories: Bag Charms and More42:17 Hybrid Clothing: The New Norm?Christina's tibi color wheel video https://www.youtube.com/watch?v=EsW3xlX-cT4&t=207sTop trends of 2025https://www.marieclaire.com/fashion/fashion-trends-2025/https://www.vogue.com/article/spring-2025-fashion-trendshttps://www.harpersbazaar.com/fashion/trends/a62302060/spring-2025-fashion-trends/https://www.refinery29.com/en-us/fashion-trends-2025 -----------------CONTACT US: sustainthispodcast@gmail.comJOIN OUR PATREON: https://www.patreon.com/SustainThisPodcast SIGNE HANSENYoutube: https://www.youtube.com/@UseLess_dkWebsite: https://www.uselesswardrobe.dk/IG: https://www.instagram.com/useless_dk/TT: https://www.tiktok.com/@useless_wardrobeCHRISTINA MYCHASYoutube: https://www.youtube.com/@ChristinamychasWebsite: https://www.minimalist-ish.com/IG: https://www.instagram.com/christina.mychas/TT: https://www.tiktok.com/@christina.mychasALYSSA BELTEMPOYoutube: https://www.youtube.com/@AlyssaBeltempoWebsite: https://msbeltempo.com/IG: https://www.instagram.com/msbeltempo/TT: https://www.tiktok.com/@msbeltempo If you loved this episode please share it on your stories and tag us! We love to see which episodes resonate with you and it helps to spread the word more than you know, xo

 AUSTRALIA WEATHER: Climate Watcher Jeremy Zakis reports from NSW on Spring's dual nature - current positive Southern Annular Mode bringing storms and rain, with bushfire risks looming ahead. More next week. 1950 Perth