Podcasts about Speaker

Industrial Talk is onsite at PowerGen and talking to Joe Patch IV, Founder of Confio Group about "The need for industry to tell their story - human connection". The conversation revolves around the Industrial Talk podcast, hosted by Scott Mackenzie, and the PowerGen conference in San Antonio. Scott celebrates industry professionals and discusses the importance of authenticity in leadership and communication to attract talent. Joe Patch, a guest, highlights the growing interest in nuclear energy, particularly small modular reactors (SMRs), and the challenges of regulatory approval and workforce shortages, particularly the need for 1 million engineers in the next 5 years. They also discuss the role of AI in enhancing efficiency but stress the importance of maintaining authentic human connection in business. Joe's son, interested in engineering, is also mentioned. Outline PowerGen San Antonio and Conference Highlights Scott introduces the podcast, Industrial Talk, and highlights the importance of the propane Education and Research Council in advancing cleaner, safer, and more efficient energy technology.Scott welcomes listeners to the podcast, celebrating industry professionals and encouraging them to attend PowerGen San Antonio.Scott, Joe Patch, expresses his positive experience at the conference, noting the increased floor plan and buzz compared to the previous year. Gas Market and Nuclear Energy Discussions Joe mentions the high demand for gas turbines and transformers, with lead times extending up to three years.Joe discusses the importance of data centers in driving the current market trends and the role of nuclear energy.Scott and Joe talk about the challenges and opportunities in the nuclear energy sector, including small modular reactors (SMRs) and molten salt technologies.Joe highlights the involvement of companies like Meta in supporting nuclear energy projects. Challenges in Nuclear Energy and Regulatory Hurdles Scott and Joe discuss the regulatory challenges and the need for faster licensing processes for new nuclear projects.Joe explains the differences between traditional large-scale nuclear projects and SMRs, suggesting that SMRs may face fewer regulatory hurdles.Scott and Joe discuss the political and interconnection challenges in the energy sector, emphasizing the complexity of the regulatory environment.Scott highlights the need for modernizing the grid and the challenges of gaining public acceptance for new infrastructure projects. Workforce Shortages and the Importance of Authentic Connection Joe discusses the significant workforce shortages in the energy sector, particularly the need for more engineers and electricians.Scott emphasizes the importance of companies telling their story and creating authentic connections to attract young talent.Joe shares his company's approach to capturing CEO visions in video interviews to attract top talent.Scott and Joe agree on the value of authentic leadership and the competitive advantage it provides in attracting talent. The Role of AI in the Energy Sector Speaker 3 discusses the potential benefits of AI in improving efficiencies and scaling operations for smaller companies.Scott and Speaker 3 agree that AI should not replace the authentic voice and human connection in leadership and communication.Scott shares his concerns about the potential atrophy of critical thinking skills if companies rely too heavily on AI for routine tasks.Speaker 3 emphasizes the importance of maintaining human skills and connections to stay competitive in the energy...

Megan McElroy unpacks a rowdy PMQs with Tim Shipman and Isabel Hardman. Kemi Badenoch made Keir Starmer uncomfortable over student loans but – at a time when trust in the Conservative brand is low – could some of her rhetoric backfire? Plus, what did they make of the revelation that it was the Speaker of the House Lindsay Hoyle that reported Peter Mandelson to police as a flight risk?Produced by Megan McElroy and Patrick Gibbons. Become a Spectator subscriber today to access this podcast without adverts. Go to spectator.co.uk/adfree to find out more.For more Spectator podcasts, go to spectator.co.uk/podcasts.Contact us: podcast@spectator.co.uk Hosted on Acast. See acast.com/privacy for more information.

A new MP3 sermon from Alpha and Omega Ministries is now available on SermonAudio with the following details: Title: Reviewing the Jacob Hansen/Joe Heschmeyer Debate Subtitle: The Dividing Line 2026 Speaker: Dr. James White Broadcaster: Alpha and Omega Ministries Event: Podcast Date: 2/24/2026 Length: 69 min.

The crew at the University of South Florida put on an excellent clinic in Tampa, Fla this past fall of 2025. Speakers included Sammy Dabbs, Erik Jenkins, Vince Anderson, Chris Korfist, and Dwight Phillips.Today we share part 1 of Sammy Dabbs' talk on the high hurdles. Enjoy!Don't forget to join us over on YouTube for the video version of Monday's Gill Connections Podcast as well as Twitch.TV for 24/7 track/field Gill Connections Podcast interviews.

Tom is back. And so is his TV! Rob has fresh insights about the Sofabaton X2 Universal Remote. Tom has thoughts about computer monitors. ... The post AV Rant #999.4: 4 Foot Speaker Stands? appeared first on AV Rant.

If there is one thing I've learned in over 30 years in this business, it's that the speaking industry never stands still. The landscape is constantly shifting, and if you aren't willing to evolve your business model, you're going to find yourself irrelevant pretty quickly. To stay ahead of the curve, you have to be intentional about your growth. That's why I am so thrilled to welcome Arel Moodie back to the show. Arel has his finger on the pulse of where this industry is headed, and today, he's sharing exactly what you need to do to adapt, scale, and ensure your speaking business remains profitable in any climate. Highlights you won't want to miss: Industry trends for 2026 with Arel Moodie 0:00 The origin of Talkadot 3:30 How Talkadot works 7:00 Optimizing in the dark 11:15 Fads vs trends 14:00 Finding a niche 17:00 Qualified leads matter 21:00 Talkacon is coming 24:30 See you next time 30:15 Strategy is everything. If you're looking to scale your business and stay ahead of the industry trends for 2026, you simply can't afford to miss this episode. For access to FULL SHOW NOTES, including video and links, visit: https://www.speakerlauncher.com/category/podcast/

What if the reason you feel disappointed after reaching a goal… isn't failure — but lack of preparation? In this episode of The Millionaire Woman Show, Debra Kasowski explores why so many high achievers experience an emotional letdown after finally accomplishing what they worked so hard for. From income milestones to leadership promotions to personal breakthroughs, success can feel surprisingly empty when we haven't prepared ourselves to sustain it. Debra unpacks the concept known as the “arrival fallacy,” popularized by positive psychology expert Tal Ben-Shahar, the belief that happiness lies at the finish line. You'll discover: Why achievement without identity growth leads to dissatisfaction The three layers of preparation: mental, strategic, and emotional How to build consistency that creates self-trust Practical strategies to prepare for the opportunities you say you want Why celebration and reflection are essential to sustainable success Preparation isn't just about planning logistics. It's about becoming the person who can hold the next level. If you desire greater impact, income, influence, or legacy — this episode will challenge you to stop waiting and start preparing. Because when your opportunity arrives…you don't want to meet it overwhelmed. You want to meet it ready. Debra Kasowski is the charismatic podcast host of The Millionaire Woman Show, 3X Best Selling Author, Speaker, and Certified Executive Coach. She interviews incredible speakers, authors, CEO, Business and Organizational Leaders, and drops solo episodes with tips, strategies, and techniques for your success. GET YOUR GIFT Sign up for our Success Secrets Newsletter and download your FREE 10-page PDF of Reset Your Mindset at www.debrakasowski.com. Book your Complimentary Discovery Session with Debra today! 1. Connect with Debra Kasowski on social media Instagram https://www.instagram.com/debrakasowski YouTube https://www.youtube.com/@UCIg8Qcl0OERGMbT5eOUGkCg Facebook https://www.facebook.com/DebraKasowskiInternational/ 2. SUBSCRIBE to The Millionaire Woman Show podcast on iTunes 3. PURCHASE Debra's books – Amazon, Barnes & Noble,

The conversation explores the journey of unschooling, emphasizing the importance of community and connection, as well as the challenges encountered along the way. It also delves into the upcoming Unschooling Summit and its speakers, highlighting the significance of clarifying the concept of unschooling and of providing a platform for learning and community building. The Unschooling Summit features a diverse range of speakers and topics, including leaders in the Indian unschooling movement, grief and joy, and neurodivergent themes. The summit emphasizes human themes and the importance of relationships, offering a holistic perspective on unschooling and parenting.TakeawaysUnschooling as a journey of discoveryThe importance of community and connection in unschooling Unschooling Summit features a diverse range of speakers and topicsThe summit emphasizes human themes and the importance of relationships.You can find Esther Jones on Instagram and learn more on her website.You can find Melissa Crockett-Joyoue on Instagram and learn more about her Weave ND Community on her site.To learn more about The Unschooling Summit, check out their Instagram or website.Chapters00:00 Introduction and International Connection08:55 Defining Unschooling16:31 Unschooling Summit and Community Building22:49 Speakers and Topics at the Unschooling Summit

Mikaela Kate Schaefer is a Leadership Trainer, Speaker, and Coach.  She has over 15 years of experience in developing men and women leaders from college-age and beyond, and trains teams from 5 to 200, as well as countless one on one coaching experiences.  She is the CEO of her open personal and professional coaching and training business, where she works with the manufacturing and retail industry, the financial and legal secotor, start-up businesses, and with various independent sales teams. Learn more about Mikaela at mikaelakate.com Contact Julie at theveterinarylifecoach.com

Editor's note: CuspAI raised a $100m Series A in September and is rumored to have reached a unicorn valuation. They have all-star advisors from Geoff Hinton to Yann Lecun and team of deep domain experts to tackle this next frontier in AI applications.In this episode, Max Welling traces the thread connecting quantum gravity, equivariant neural networks, diffusion models, and climate-focused materials discovery (yes, there is one!!!).We begin with a provocative framing: experiments as computation. Welling describes the idea of a “physics processing unit”—a world in which digital models and physical experiments work together, with nature itself acting as a kind of processor. It's a grounded but ambitious vision of AI for science: not replacing chemists, but accelerating them.Along the way, we discuss:* Why symmetry and equivariance matter in deep learning* The tradeoff between scale and inductive bias* The deep mathematical links between diffusion models and stochastic thermodynamics* Why materials—not software—may be the real bottleneck for AI and the energy transition* What it actually takes to build an AI-driven materials platformMax reflects on moving from curiosity-driven theoretical physics (including work with Gerard ‘t Hooft) toward impact-driven research in climate and energy. The result is a conversation about convergence: physics and machine learning, digital models and laboratory experiments, long-term ambition and incremental progress.Full Video EpisodeTimestamps* 00:00:00 – The Physics Processing Unit (PPU): Nature as the Ultimate Computer* Max introduces the idea of a Physics Processing Unit — using real-world experiments as computation.* 00:00:44 – From Quantum Gravity to AI for Materials* Brandon frames Max's career arc: VAE pioneer → equivariant GNNs → materials startup founder.* 00:01:34 – Curiosity vs Impact: How His Motivation Evolved* Max explains the shift from pure theoretical curiosity to climate-driven impact.* 00:02:43 – Why CaspAI Exists: Technology as Climate Strategy* Politics struggles; technology scales. Why materials innovation became the focus.* 00:03:39 – The Thread: Physics → Symmetry → Machine Learning* How gauge symmetry, group theory, and relativity informed equivariant neural networks.* 00:06:52 – AI for Science Is Exploding (Not Emerging)* The funding surge and why AI-for-Science feels like a new industrial era.* 00:07:53 – Why Now? The Two Catalysts Behind AI for Science* Protein folding, ML force fields, and the tipping point moment.* 00:10:12 – How Engineers Can Enter AI for Science* Practical pathways: curriculum, workshops, cross-disciplinary training.* 00:11:28 – Why Materials Matter More Than Software* The argument that everything—LLMs included—rests on materials innovation.* 00:13:02 – Materials as a Search Engine* The vision: automated exploration of chemical space like querying Google.* 01:14:48 – Inside CuspAI: The Platform Architecture* Generative models + multi-scale digital twin + experiment loop.* 00:21:17 – Automating Chemistry: Human-in-the-Loop First* Start manual → modular tools → agents → increasing autonomy.* 00:25:04 – Moonshots vs Incremental Wins* Balancing lighthouse materials with paid partnerships.* 00:26:22 – Why Breakthroughs Will Still Require Humans* Automation is vertical-specific and iterative.* 00:29:01 – What Is Equivariance (In Plain English)?* Symmetry in neural networks explained with the bottle example.* 00:30:01 – Why Not Just Use Data Augmentation?* The optimization trade-off between inductive bias and data scale.* 00:31:55 – Generative AI Meets Stochastic Thermodynamics* His upcoming book and the unification of diffusion models and physics.* 00:33:44 – When the Book Drops (ICLR?)TranscriptMax: I want to think of it as what I would call a physics processing unit, like a PPU, right? Which is you have digital processing units and then you have physics processing units. So it's basically nature doing computations for you. It's the fastest computer known, as possible even. It's a bit hard to program because you have to do all these experiments. Those are quite bulky, it's like a very large thing you have to do. But in a way it is a computation and that's the way I want to see it. You can do computations in a data center and then you can ask nature to do some computations. Your interface with nature is a bit more complicated. But then these things will have to seamlessly work together to get to a new material that you're interested in.[01:00:44:14 - 01:01:34:08]Brandon: Yeah, it's a pleasure to have Max Woehling as a guest today. Max has done so much over his career that I've been so excited about. If you're in the deep learning community, you probably know Max for his work on variational autocoders, which has literally stood the test of prime or officially stood the test of prime. If you are a scientist, you probably know him for his like, binary work on graph neural networks on equivariance. And if you're a material science, you probably know him about his new startup, CASPAI. Max has a long history doing lots of cool problems. You started in quantum gravity, which is I think very different than all of these other things you worked on. The first question for AI engineers and for scientists, what is the thread in how you think about problems? What is the thread in the type of things which excite you? And how do you decide what is the next big thing you want to work on?[01:01:34:08 - 01:02:41:13]Max: So it has actually evolved a lot. In my young days, let's breathe, I would just follow what I would find super interesting. I have kind of this sensor. I think many people have, but maybe not really sort of use very much, which is like, you get this feeling about getting very excited about some problem. Like it could be, what's inside of a black hole or what's at the boundary of the universe or what are quantum mechanics actually all about. And so I follow that basically throughout my career. But I have to say that as you get older, this changes a little bit in the sense that there's a new dimension coming to it and there's this impact. Going in two-dimensional quantum gravity, you pretty much guaranteed there's going to be no impact on what you do relative, maybe a few papers, but not in this world, this energy scale. As I get closer to retirement, which is fortunately still 10 years away or so, I do want to kind of make a positive impact in the world. And I got pretty worried about climate change.[01:02:43:15 - 01:03:19:11]Max: I think politics seems to have a hard time solving it, especially these days. And so I thought better work on it from the technology side. And that's why we started CaspAI. But there's also a lot of really interesting science problems in material science. And so it's kind of combining both the impact you can make with it as well as the interesting science. So it's sort of these two dimensions, like working on things which you feel there's like, well, there's something very deep going on here. And on the other hand, trying to build tools that can actually make a real impact in the world.[01:03:19:11 - 01:03:39:23]RJ: So the thread that when I look back, look at the different things that you worked out, some of them seem pretty connected, like the physics to equivariance and, yeah, and, uh, gravitational networks, maybe. And that seems to be somewhat related to Casp. Do you have a thread through there?[01:03:39:23 - 01:06:52:16]Max: Yeah. So physics is the thread. So having done, you know, spent a lot of time in theoretical physics, I think there is first very fundamental and exciting questions, like things that haven't actually been figured out in quantum gravity. So that is really the frontier. There's also a lot of mathematical tools that you can use, right? In, for instance, in particle physics, but also in general relativity, sort of symmetry space to play an enormously important role. And this goes all the way to gauge symmetries as well. And so applying these kinds of symmetries to, uh, machine learning was actually, you know, I thought of it as a very deep and interesting mathematical problem. I did this with Taco Cohen and Taco was the main driver behind this, went all the way from just simple, like rotational symmetries all the way to gauge symmetries on spheres and stuff like that. So, and, uh, Maurice Weiler, who's also here, um, when he was a PhD student, he was a very good student with me, you know, he wrote an entire book, which I can really recommend about the role of symmetries in AI and machine learning. So I find this a very deep and interesting problem. So more recently, so I've taken a sort of different path, which is the relationship between diffusion models and that field called stochastic thermodynamics. This is basically the thermodynamics, which is a theory of equilibrium. So but then formulated for out of equilibrium systems. And it turns out that the mathematics that we use for diffusion models, but even for reinforcement learning for Schrodinger bridges for MCMC sampling has the same mathematics as this theoretical, this physical theory of non-equilibrium systems. And that got me very excited. And actually, uh, when I taught a course in, um, Mauschenberg, uh, it is South Africa, close to Cape Town at the African Institute for Mathematical Sciences Ames. And I turned that into a book site. Two years later, the book was finished. I've sent it to the publisher. And this is about the deep relationship between free energy, diffusion models, basically generative AI and stochastic thermodynamics. So it's always some kind of, I don't know, I find physics very deep. I also think a lot about quantum mechanics and it's, it's, it's a completely weird theory that actually nobody really understands. And there's a very interesting story, which is maybe good to tell to connect sort of my PZ back to where I'm now. So I did my PZ with a Nobel Laureate, Gerard the toft. He says the most brilliant man I've ever met. He was never wrong about anything as long as I've seen him. And now he says quantum mechanics is wrong and he has a new theory of quantum mechanics. Nobody understands what he's saying, even though what he's writing down is not mathematically very complex, but he's trying to address this understandability, let's say of quantum mechanics head on. And I find it very courageous and I'm completely fascinated by it. So I'm also trying to think about, okay, can I actually understand quantum mechanics in a more mundane way? So that, you know, without all the weird multiverses and collapses and stuff like that. So the physics is always been the threat and I'm trying to apply the physics to the machine learning to build better algorithms.[01:06:52:16 - 01:07:05:15]Brandon: You are still very involved in understanding and understanding physics and the worlds. Yeah. And just like applications to machine learning or introducing no formalisms. That's really cool.[01:07:05:15 - 01:07:18:02]Max: Yes, I would say I'm not contributing much to physics, but I'm contributing to the interface between physics and science. And that's called AI for science or science or AI is kind of a super, it's actually a new discipline that's emerging.[01:07:18:02 - 01:07:18:19]Speaker 5: Yeah.[01:07:18:19 - 01:07:45:14]Max: And it's not just emerging, it's exploding, I would say. That's the better term because I know you go from investments into like in the hundreds of millions now in the billions. So there's now actually a startup by Jeff Bezos that is at 6.2 billion sheep round. Right. Insane. I guess it's the largest startup ever, I think. And that's in this field, AI for science. It tells you something that we are creating a new bubble here.[01:07:46:15 - 01:07:53:28]Brandon: So why do you think it is? What has changed that has motivated people to start working on AI for science type problems?[01:07:53:28 - 01:08:49:17]Max: So there's two reasons actually. One is that people have been applying sort of the new tools from AI to the sciences, which is quite natural. And there's of course, I think there's two big examples, protein folding is a big one. And the other one is machine learning forest fields or something called machine learning inter-atomic potentials. Both of them have been actually very successful. Both also had something to do with symmetries, which is a little cool. And sort of people in the AI sciences saw an opportunity to apply the tools that they had developed beyond advertised placement, right, or multimedia applications into something that could actually make a very positive impact in society like health, drug development, materials for the energy transition, carbon capture. These are all really cool, impactful applications.[01:08:50:19 - 01:09:42:14]Max: Despite that, the science and the kind of the is also very interesting. I would say the fact that these sort of these two fields are coming together and that we're now at the point that we can actually model these things effectively and move the needle on some of these sort of science sort of methodologies is also a very unique moment, I would say. People recognize that, okay, now we're at the cusp of something new, where it results whether the company is called after. We're at the cusp of something new. And of course that always creates a lot of energy. It's like, okay, there's something, it's like sort of virgin field. It's like nobody's green field. Nobody's been there. I can rush in and I can sort of start harvesting there, right? And I think that's also what's causing a lot of sort of enthusiasm in the fields.[01:09:42:14 - 01:10:12:18]RJ: If you're an AI engineer, basically if the people that listen to this podcast will be in the field, then you maybe don't have a strong science background. How does, but are excited. Most I would say most AI practitioners, BM engineers or scientists would consider themselves scientists and they have some background, a little bit of physics, a little bit of industry college, maybe even graduate school that have been working or are starting out. How does somebody who is not a scientist on a day-to-day basis, how do they get involved?[01:10:12:18 - 01:10:14:28]Max: Well, they can read my book once it's out.[01:10:16:07 - 01:11:05:24]Max: This is basically saying that there is more, we should create curricula that are on this interface. So I'm not sure there is, also we already have some universities actual courses you can take, maybe online courses you can take. These workshops where we are now are actually very good as well. And we should probably have more tutorials before the workshop starts. Actually we've, I've kind of proposed this at some point. It's like maybe first have an hour of a tutorial so that people can get new into the field. There's a lot out there. Most of it is of course inaccessible, but I would say we will create much more books and other contents that is more accessible, including this podcast I would say. So I think it will come. And these days you can watch videos and things. There's a huge amount of content you can go and see.[01:11:05:24 - 01:11:28:28]Brandon: So maybe a follow-up to that. How do people learn and get involved? But why should they get involved? I mean, we have a lot of people who are of our audience will be interested in AI engineering, but they may be looking for bigger impacts in the world. What opportunities does AI for science provide them to make an impact to change the world? That working in this the world of pure bits would not.[01:11:28:28 - 01:11:40:06]Max: So my view is that underlying almost everything is immaterial. So we are focusing a lot on LLMs now, which is kind of the software layer.[01:11:41:06 - 01:11:56:05]Max: I would say if you think very hard, underlying everything is immaterial. So underlying an LLM is a GPU, and underlying a GPU is a wafer on which we will have to deposit materials. Do we want to wait a little bit?[01:12:02:25 - 01:12:11:06]Max: Underlying everything is immaterial. So I was saying, you know, there's the LLM underlying the LLM is a GPU on which it runs. In order to make that GPU,[01:12:12:08 - 01:12:43:20]Max: you have to put materials down on a wafer and sort of shine on it with sort of EUV light in order to etch kind of the structures in. But that's now an actual material problem, because more or less we've reached the limits of scaling things down. And now we are trying to improve further by new materials. So that's a fundamental materials problem. We need to get through the energy transition fast if we don't want to kind of mess up this world. And so there is, for instance, batteries. That's a complete materials problem. There's fuel cells.[01:12:44:23 - 01:13:01:16]Max: There is solar panels. So that they can now make solar panels with new perovskite layers on top of the silicon layers that can capture, you know, theoretically up to 50% of the light, where now we're at, I don't know, maybe 22 or something. So these are huge changes all by material innovation.[01:13:02:21 - 01:13:47:15]Max: And yeah, I think wherever you go, you know, I can probably dig deep enough and then tell you, well, actually, the very foundation of what you're doing is a material problem. And so I think it's just very nice to work on this very, very foundation. And also because I think this is maybe also something that's happening now is we can start to search through this material space. This has never been the case, right? It's like scientists, the normal way of working is you read papers and then you come up with no hypothesis. You do an experiment and you learn, et cetera. So that's a very slow process. Now we can treat this as a search engine. Like we search the internet, we now search the space of all possible molecules, not just the ones that people have made or that they're in the universe, but all of them.[01:13:48:21 - 01:14:42:01]Max: And we can make this kind of fully automated. That's the hope, right? We can just type, it becomes a tool where you type what you want and something starts spinning and some experiments get going. And then, you know, outcome list of materials and then you look at it and say, maybe not. And then you refine your query a little bit. And you kind of do research with this search engine where a huge amount of computation and experimentation is happening, you know, somewhere far away in some lab or some data center or something like this. I find this a very, very promising view of how we can sort of build a much better sort of materials layer underneath almost everything. And also more sustainable materials. Our plastics are polluting the planet. If you come up with a plastic that kind of destroys itself, you know, after, I don't a few weeks, right? And actually becomes a fertilizer. These are things that are not impossible at all. These things can be done, right? And we should do it.[01:14:42:01 - 01:14:47:23]RJ: Can you tell us a little bit just generally about CUSBI and then I have a ton of questions.[01:14:47:23 - 01:14:48:15]Speaker 5: Yeah.[01:14:48:15 - 01:17:49:10]Max: So CUSBI started about 20 months ago and it was because I was worried about I'm still worried about climate change. And so I realized that in order to get, you know, to stay within two degrees, let's say, we would not only have to reduce our emissions to zero by 2050, but then, you know, another half century or even a century of removing carbon dioxide from the atmosphere, not by reducing your emissions, but actually removing it at a rate that's about half the rate that we now emit it. And that is a unsolved problem. But if we don't solve it, two degrees is not going to happen, right? It's going to be much more. And I don't think people quite understand how bad that can be, like four degrees, like very bad. So this technology needs to be developed. And so this was my and my co-founder, Chet Edwards, motivation to start this startup. And also because, you know, we saw the technology was ready, which is also very good. So if you're, you know, the time is right to do it. And yeah, so we now in the meanwhile, we've grown to about 40 people. We've kind of collected 130 million investment into the company, which is for a European company is quite a lot. I would say it's interesting that right after that, you know, other startups got even more. So that's kind of tells you how fast this is growing. But yeah, we are we are now at the we've built the platform, of course, but it's for a series of material classes and it needs to be constantly expanded to new material classes. And it can be more automated because, you know, we know putting LLMs in as the whole thing gets more and more automated. And now we're moving to sort of high throughput experimentation. So connecting the actual platform, which is computational, to the experiments so that you can get also get fast feedback from experiments. And I kind of think of experiments as something you do at the end, although that's what we've been doing so far. I want to think of it as what I would call a sort of a physics processing unit, like a PPU, right, which is you have digital processing units and then you have physics processing units. So it's basically nature doing computations for you. It's the fastest computer known as possible, even. It's a bit hard to program because you have to do all these experiments. Those are quite, quite bulky. It's like a very large thing you have to do. But in a way, it is a computation. And that's the way I want to see it. So I want to you can do computations in a data center and then you can ask nature to do some computations. Your interface with nature is a bit more complicated. But then these things will have to seamlessly work together to get to a new material that you're interested in. And that's the vision we have. We don't say super intelligence because I don't quite know what it means and I don't want to oversell it. But I do want to automate this process and give a very powerful tool in the hands of the chemists and the material scientists.[01:17:49:10 - 01:18:01:02]Brandon: That actually brings up a question I wanted to ask you. First of all, can you talk about your platform to like whatever degree, like explain kind of how it works and like what you your thought processes was in developing it?[01:18:01:02 - 01:20:47:22]Max: Yeah, I think it's been surprisingly, it's not rocket science, I would say. It's not rocket science in the sense of the design and basically the design that, you know, I wrote down at the very beginning. It's still more or less the design, although you add things like I wasn't thinking very much about multi-scale models and as the common are rated that actually multi-scale is very important. And the beginning, I wasn't thinking very much about self-driving labs. But now I think, you know, we are now at the stage we should be adding that. And so there is sort of bits and details that we're adding. But more or less, it's what you see in the slide decks here as well, which is there is a generative component that you have to train to generate candidates. And then there is a digital twin, multi-scale, multi-fidelity digital twin, which you walk through the steps of the ladder, you know, they do the cheap things first, you weed out everything that's obviously unuseful, and then you go to more and more expensive things later. And so you narrow things down to a small number. Those go into an experiment, you know, do the experiment, get feedback, etc. Now, things that also have been more recently added is sort of more agentic sort of parts. You know, we have agents that search the literature and come up with, you know, actually the chemical literature and come up with, you know, chemical suggestions for doing experiments. We have agents which sort of autonomously orchestrate all of the computations and the experiments that need to be done. You know, they're in various stages of maturity and they can be continuously improved, I would say. And so that's basically I don't think that part. There's rocket science, but, you know, the design of that thing is not like surprising. What is it's surprising hard to actually build it. Right. So that's that's the thing that is where the moat is in the data that you can get your hands on and the and actually building the platform. And I would say there's two people in particular I want to call out, which is Felix Hunker, who is actually, you know, building the scientific part of the platform and Sandra de Maria, who is building the sort of the skate that is kind of this the MLOps part of the platform. Yeah. And so and recently we also added sort of Aaron Walsh to our team, who is a very accomplished scientist from Imperial College. We're very happy about that. He's going to be a chief science officer. And we also have a partnerships team that sort of seeks out all the customers because I think this is one thing I find very important. In print, it's so complex to do to actually bring a material to the real world that you must do this, you know, in collaboration with sort of the domain experts, which are the companies typically. So we always we only start to invest in the direction if we find a good industrial partner to go on that journey with us.[01:20:47:22 - 01:20:55:12]Brandon: Makes a lot of sense. Over the evolution of the platform, did you find that you that human intervention, human,[01:20:56:18 - 01:21:17:01]Brandon: I guess you could start out with a pure, you could imagine two directions when you start up making everything purely automatic, automated, agentic, so on. And then later on, you like find that you need to have more human input and feedback different steps. Or maybe did you start out with having human feedback? You have lots of steps and then like kind of, yeah, figure out ways to remove, you know,[01:21:17:01 - 01:22:39:18]Max: that is the second one. So you build tools for you. So it's much more modular than you think. But it's like, we need these tools for this application. We need these tools. So you build all these tools, and then you go through a workflow actually in the beginning just manually. So you put them in a first this tool, then run this to them or this with sithery. So you put them in a workflow and then you figure out, oh, actually, you know, this this porous material that we are trying to make actually collapses if you shake it a bit. Okay, then you add a new tool that says test for stability. Right. Yeah. And so there's more and more tools. And then you build the agent, which could be a Bayesian optimizer, or it could be an actual other them, you know, maybe trained to be a good chemist that will then start to use all these tools in the right way in the right order. Yeah. Right. But in the beginning, it's like you as a chemist are putting the workflow together. And then you think about, okay, how am I going to automate this? Right. For one very easy question you can ask yourself is, you know, every time somebody who is not a super expert in DFT, yeah, and he wants to do a calculation has to go to somebody who knows DFT. And so could you start to automate that away, which is like, okay, make it so user friendly, so that you actually do the right DFT for the right problem and for the right length of time, and you can actually assess whether it's a good outcome, etc. So you start to automate smaller small pieces and bigger pieces, etc. And in the end, the whole thing is automated.[01:22:39:18 - 01:22:53:25]Brandon: So your philosophy is you want to provide a set of specific tools that make it so that the scientists making decisions are better informed and less so trying to create an automated process.[01:22:53:25 - 01:23:22:01]Max: I think it's this is sort of the same where you're saying because, yes, we want to automate, yeah, but we don't see something very soon where the chemists and the domain expert is out of the loop. Yeah, but it but it's a retreat, right? It's like, okay, so first, you need an expert to tell you precisely how to set the parameters of the DFT calculation. Okay, maybe we can take that out. We can maybe automate that, right? And so increasingly, more of these things are going to be removed.[01:23:22:01 - 01:23:22:19]Speaker 5: Yeah.[01:23:22:19 - 01:24:33:25]Max: In the end, the vision is it will be a search engine where you where somebody, a chemist will type things and we'll get candidates, but the chemist will still decide what is a good material and what is not a good material out of that list, right? And so the vision of a completely dark lab, where you can close the door and you just say, just, you know, find something interesting and then it will it will just figure out what's interesting and we'll figure out, you know, it's like, oh, I found this new material to blah, blah, blah, blah, right? That's not the vision I have. He's not for, you know, a long time. So for me, it's really empowering the domain experts that are sitting in the companies and in universities to be much faster in developing their materials. And I should say, it's also good to be a little humble at times, because it is very complicated, you know, to bring it to make it and to bring it into the real world. And there are people that are doing this for the entire lives. Yeah. Right. And it's like, I wonder if they scratch their head and say, well, you know, how are you going to completely automate that away, like in the next five years? I don't think that's going to happen at all.[01:24:35:01 - 01:24:39:24]Max: Yeah. So to me, it's an increasingly powerful tool in the hands of the chemists.[01:24:39:24 - 01:25:04:02]RJ: I have a question. You've talked before about getting people interested based on having, you know, sort of a big breakthrough in materials, incremental change. I'm curious what you think about the platform you have now in are sort of stepping towards and how are you chasing the big change or is this like incremental or is there they're not mutually exclusive, obviously, but what do you think about that?[01:25:04:02 - 01:26:04:27]Max: We follow a mixed strategy. So we are definitely going after a big material. Again, we do this with a partner. I'm not going to disclose precisely what it is, but we have our own kind of long term goal. You could call it lighthouse or, you know, sort of moonshot or whatever, but it is going to be a really impactful material that we want to develop as a proof point that it can be done and that it will make it into the into the real world and that AI was essential in actually making it happen. At the same time, we also are quite happy to work with companies that have more modest goals. Like I would say one is a very deep partnership where you go on a journey with a company and that's a long term commitment together. And the other one is like somebody says, I knew I need a force field. Can you help me train this force field and then maybe analyze this particular problem for me? And I'll pay you a bunch of money for that. And then maybe after that we'll see. And that's fine too. Right. But we prefer, you know, the deep partnerships where we can really change something for the good.[01:26:04:27 - 01:26:22:02]RJ: Yeah. And do you feel like from a platform standpoint you're ready for that or what are the things that and again, not asking you to disclose proprietary secret sauce, but what are the things generally speaking that need to happen from where we are to where to get those big breakthroughs?[01:26:22:02 - 01:28:40:01]Max: What I find interesting about this field is that every time you build something, it's actually immediately useful. Right. And so unlike quantum computing, which or nuclear fusion, so you work for 20, 30, 40 years and nothing, nothing, nothing, nothing. And then it has to happen. Right. And when it happens, it's huge. So it's quite different here because every time you introduce, so you go to a customer and you say, so what do you need? Right. So we work, let's say, on a problem like a water filtration. We want to remove PFAS from water. Right. So we do this with a company, Camira. So they are a deep partner for us. Right. So we on a journey together. I think that the breakthrough will happen with a lot of human in the loop because there is the chemists who have a whole lot more knowledge of their field and it's us who will help them with training, having a new message. And in that kind of interface, these interactions, something beautiful will happen and that will have to happen first before this field will really take off, I think. And so in the sense that it's not a bubble, let's put it that way. So that's people see that as actual real what's happening. So in the beginning, it will be very, you know, with a lot of humans in the loop, I would say, and I would I would hope we will have this new sort of breakthrough material before, you know, everything is completely automated because that will take a while. And also it is very vertical specific. So it's like completely automating something for problem A, you know, you can probably achieve it, but then you'll sort of have to start over again for problem B because, you know, your experimental setup looks very different in the machines that you characterize your materials look very different. Even the models in your platform will have to be retrained and fine tuned to the new class. So every time, you know, you have a lot of learnings to transfer, but also, you know, the problems are actually different. And so, yes, I would want that breakthrough material before it's completely automated, which I think is kind of a long term vision. And I would say every time you move to something new, you'll have to start retraining and humans will have to come in again and say, okay, so what does this problem look like? And now sort of, you know, point the the machine again, you know, in the new direction and then and then use it again.[01:28:40:01 - 01:28:47:17]RJ: For the non-scientists among us, me included a bit of a scientist. There's a lot of terminology. You mentioned DFT,[01:28:49:00 - 01:29:01:11]RJ: you equivariance we've talked about. Can you sort of explain in engineering terms or the level of sophistication and engineering? Well, how what is equivariance?[01:29:01:11 - 01:29:55:01]Max: So equivariance is the infusion of symmetry in neural networks. So if I build a neural network, let's say that needs to recognize this bottle, right, and then I rotate the bottle, it will then actually have to completely start again because it has no idea that the rotated bottle. Well, actually, the input that represents a rotated bottle is actually rotated bottle. It just doesn't understand that. Right. If you build equivariance in basically once you've trained it in one orientation, it will understand it in any other orientation. So that means you need a lot less data to train these models. And these are constraints on the weights of the model. So so basically you have to constrain the way such data to understand it. And you can build it in, you can hard code it in. And yeah, this the symmetry groups can be, you know, translations, rotations, but also permutations. I can graph neural network, their permutations and then physics, of course, as many more of these groups.[01:29:55:01 - 01:30:01:08]RJ: To pray devil's advocate, why not just use data augmentation by your bottle is in all the different orientations?[01:30:01:08 - 01:30:58:23]Max: As an option, it's just not exact. It's like, why would you go through the work of doing all that? Where you would really need an infinite number of augmentations to get it completely right. Where you can also hard code it in. Now, I have to say sometimes actually data augmentation works even better than hard coding the equivariance in. And this is something to do with the fact that if you constrain the optimization, the weights before the optimization starts, the optimization surface or objective becomes more complicated. And so it's harder to find good minima. So there is also a complicated interplay, I think, between the optimization process and these constraints you put in your network. And so, yeah, you'll hear kind of contradicting claims in this field. Like some people and for certain applications, it works just better than not doing it. And sometimes you hear other people, if you have a lot of data and you can do data augmentation, then actually it's easier to optimize them and it actually works better than putting the equivariance in.[01:30:58:23 - 01:31:07:16]Brandon: Do you think there's kind of a bitter lesson for mathematically founded models and strategies for doing deep learning?[01:31:07:16 - 01:31:46:06]Max: Yeah, ultimately it's a trade-off between data and inductive bias. So if your inductive bias is not perfectly correct, you have to be careful because you put a ceiling to what you can do. But if you know the symmetry is there, it's hard to imagine there isn't a way to actually leverage it. But yeah, so there is a bitter lesson. And one of the bitter lessons is you should always make sure your architecture is scale, unless you have a tiny data set, in which case it doesn't matter. But if you, you know, the same bitter lessons or lessons that you can draw in LLM space are eventually going to be true in this space as well, I think.[01:31:47:10 - 01:31:55:01]RJ: Can you talk a little bit about your upcoming book and tell the listeners, like, what's exciting about it? Yeah, I should read it.[01:31:55:01 - 01:33:42:20]Max: So this book is about, it's called Generative AI and Stochastic Thermodynamics. It basically lays bare the fact that the mathematics that goes into both generative AI, which is the technology to generate images and videos, and this field of non-equilibrium statistical mechanics, which are systems of molecules that are just moving around and relaxing to the ground state, or that you can control to have certain, you know, be in a certain state, the mathematics of these two is actually identical. And so that's fascinating. And in fact, what's interesting is that Jeff Hinton and Radford Neal already wrote down the variational free energy for machine learning a long time ago. And there's also Carl Friston's work on free energy principle and active entrance. But now we've related it to this very new field in physics, which is called stochastic thermodynamics or non-equilibrium thermodynamics, which has its own very interesting theorems, like fluctuation theorems, which we don't typically talk about, but we can learn a lot from. And I think it's just it can sort of now start to cross fertilize. When we see that these things are actually the same, we can, like we did for symmetries, we can now look at this new theory that's out there, developed by these very smart physicists, and say, okay, what can we take from here that will make our algorithms better? At the same time, we can use our models to now help the scientists do better science. And so it becomes a beautiful cross-fertilization between these two fields. The book is rather technical, I would say. And it takes all sorts of things that have been done as stochastic thermodynamics, and all sorts of models that have been done in the machine learning literature, and it basically equates them to each other. And I think hopefully that sense of unification will be revealing to people.[01:33:42:20 - 01:33:44:05]RJ: Wait, and when is it out?[01:33:44:05 - 01:33:56:09]Max: Well, it depends on the publisher now. But I hope in April, I'm going to give a keynote at ICLR. And it would be very nice if they have this book in my hand. But you know, it's hard to control these kind of timelines.[01:33:56:09 - 01:33:58:19]RJ: Yeah, I'm looking forward to it. Great.[01:33:58:19 - 01:33:59:25]Max: Thank you very much. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe

This week's PMQs was dominated by the extraordinary arrest of Peter Mandelson, who was detained after police were allegedly warned he was preparing to flee the country by no other than the Speaker of the Commons, Lindsay Hoyle.Camilla and Tim react to the explosive exchanges at PMQs, including Kemi Badenoch's attack branding Labour the “paedo defender party”, the Tories' choice to go hard on student debt, and some very obviously planted questions on the Gorton and Denton by-election.And Tim headed to Gorton and Denton ahead of a knife-edge by-election to try (and mostly fail) to track down Zack Polanski, the Greens' leader.We want to hear from you! Email us at thedailyt@telegraph.co.uk or find @dailytpodcast on TikTok, Instagram and X► Sign up to our most popular newsletter, From the Editor. Look forward to receiving free-thinking comment and the day's biggest stories, every morning. telegraph.co.uk/fromtheeditorProducers: Georgia Coan and Lilian FawcettSenior Producer: John CadiganExecutive Producer: Charlotte SeligmanVideo Producer: Will WaltersStudio Operator: Meghan SearleSocial Producer: Nada AggourEditor: Camilla Tominey Hosted on Acast. See acast.com/privacy for more information.

APAC stocks traded higher as the region took impetus from the rebound on Wall Street after Anthropic's presentation helped soothe some AI/software concerns, and with tech also bolstered by the USD 60bln Meta-AMD chip deal; Euro Stoxx 50 futures up 0.2% after the cash market closed flat on Tuesday.US President Trump talked up the economy in his State of the Union Address, saying that the nation is back, bigger, better and stronger than before, while he added that we've seen nothing yet.Regarding tariffs, Trump said the Supreme Court decision on tariffs is very unfortunate but added that tariffs will remain in place and nearly all countries want to keep the trade deals.Trump also commented on Iran, which he claimed is working on missiles that could soon reach the US, and noted Iran wants to make a deal but hasn't yet said that it won't pursue nuclear weapons.Antipodeans were firmer amid the positive risk appetite, and with AUD/USD leading the advances following firmer-than-expected monthly CPI data from Australia.Looking ahead, highlights include German GfK (Mar), GDP Final (Q4), Swiss Sentiment (Feb), EZ HICP Final (Jan). Speakers include RBA's Bullock, Fed's Musalem, Barkin & Schmid. Supply from Germany & US. Earnings from NVIDIA, Salesforce, Snowflake, TJX Companies, Lowe's, Synopsys & Bayer.Read the full report covering Equities, Forex, Fixed Income, Commodites and more on Newsquawk

Join us on Tuesday, February 24th from 11:00 AM – 12:00 PM EST on The Kim Jacobs Show for a powerful and transformational conversation with Celisha J., a woman who turned pain into purpose!Author of I Survived – a courageous testimony of overcoming trauma and life's hardest seasons.Founder of Highway 2 Healing with Celisha J – a personal growth platform focused on mindset shifts, accountability, and emotional wellness.Speaker & Healing Advocate – empowering women to reclaim their peace, rebuild with confidence, and grow through what they go through.A true Voice for Resilience & Faith, reminding us that healing is a journey—not a destination.Her story will inspire you.Her transparency will move you.Her message will strengthen you.If you or someone you know is navigating a healing journey, this conversation is for YOU. Tag anyone who needs encouragement and drop a heart in the comments if you'll be watching!Watch us LIVE and be part of the conversation!Subscribe on YouTube: YouTube.com/c/Kimjacobsshow and turn on notifications so you don't miss a moment!Want to launch your own virtual show? Email Kimjacobsshow@gmail.com or call 704-944-3534 to grab your seat in the next training. Show some LOVE to The Kim Jacobs Show and let us know in the comment section during our live broadcast and we will acknowledge your financial support! PayPal: paypal.me/KimjacobsincVenmo: @ThekimjacobsshowZelle or Apple Cash: 704-962-7161#TheKimJacobsShow #ISurvived #Highway2Healing #FaithAndResilience #WomenEmpowerment #HealingJourney #FromPainToPurposeBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-kim-jacobs-show--2878190/support.

Spotify and Liquid Death launched what might be the wildest product of the year: a speaker shaped like a urn. Also, earlier this month, OpenAI launched a new platform called OpenAI Frontier for enterprises to build and manage agents, but OpenAI COO Brad Lightcap said that businesses haven't yet seen AI adoption at scale. Learn more about your ad choices. Visit podcastchoices.com/adchoices

We've learned that nobody that comes on our show is flawless... One of our listeners did a sweet thing for a nice elderly woman, but then the truth eventually came out!See omnystudio.com/listener for privacy information.

In this episode of the CreativePro Podcast, David Blatner and Theresa Jackson pull back the curtain on how the CreativePro Week 2026 agenda came together for this summer's event in Nashville. Recorded in conjunction with the agenda launch, the conversation offers a timely look at the decisions shaping the program. If you've ever attended CreativePro Week and felt like the content spoke directly to your day-to-day work, this episode sheds light on why. David and Theresa talk about how listener feedback, community conversations, and real-world creative challenges influence what makes it onto the agenda. They also discuss how CreativePro Week fits into a larger ecosystem of events, membership, and ongoing education. They reflect on how the needs of creative professionals have evolved over time, why certain topics return year after year, and how particular constraints affect what ultimately makes it onto the schedule. This is a candid conversation about learning, community, and the invisible work that supports meaningful professional development for designers who want more than surface-level inspiration. Episode Highlights Theresa describes agenda planning as solving a difficult puzzle, and the relief of finally locking in the 2026 CreativePro Week schedule David and Theresa share where session topics actually come from, including speaker submissions, focus group surveys, and ideas shaped through conversations with each other and the community David admits that even Adobe designers still have to work in a Microsoft world Theresa shares what matters most when deciding whether to work with a new CreativePro speaker Why switching to Miro changed the entire agenda-building process, from color-coded topics to drag-and-drop scheduling and real-time collaboration Episode Resources CreativePro Week 2026, Nashville, June 29–July 3, 2026: https://creativeproweek.com/ CreativePro Events: https://creativepro.com/events/ Speaker submissions: https://creativepro.com/speak-at-our-events/ Miro online white board https://miro.com/ Save $100 on any CreativePro event in 2026 with the discount code PODCAST: https://creativepro.com/events/ Get $15 off one year of CreativePro membership with the discount code PODCAST: https://creativepro.com/become-a-member/

The Bad Speakers crew returns with another ignorantly intelligent, no-holds-barred episode covering the hottest topics in boxing, hip-hop beef, sports debates, and real-life relationship talk. Episode 217, On My Momma, is packed with headline moments. The guys kick things off reacting to reports that Floyd Mayweather Jr. is coming out of retirement, plus the blockbuster rumor that Mayweather vs. Manny Pacquiao 2 is set for September at the Sphere in Las Vegas. Is this legacy or just another payday? They also break down Ryan Garcia's dominant performance over Mario Barrios and what it means for the future of boxing. Hip-hop drama is at an all-time high as 50 Cent trolls T.I. with a disrespectful post involving Tiny, leading to T.I. firing back with two diss tracks. Things escalate even further when King Harris jumps into the beef, taking shots at 50's late mother. The crew debates who's really winning and whether the feud has gone too far. The conversation shifts into health and technology as the team reacts to reports that scientists have successfully reversed Type 1 and Type 2 diabetes using stem cells — major medical breakthrough or premature celebration? Sports fans get fed too with reactions to Bleacher Report's Top 100 quarterbacks list, plus the crew keeps it barbershop authentic with a fun but serious debate on the best fast food restaurant and everyone's go-to order. To close things out, the guys dive into real relationship talk: When is the right time to introduce your kids to your new significant other — and do you owe your ex that heads-up? Expect real perspectives and unfiltered opinions. If you want raw culture talk, big debates, and real-life conversations, this is an episode you don't want to miss. FOLLOW US⬇️ Ya Boi Shad - https://www.instagram.com/itsyaboishad/ G. Downs - https://www.instagram.com/gdowns1486/ https://www.youtube.com/c/BadSpeakersTV https://www.instagram.com/badspeakerspodcast https://www.tiktok.com/@badspeakerspodcast https://twitter.com/BadSpeakers https://www.facebook.com/badspeakerspodcast

European bourses slip as AI concerns hit European Banks; US equity futures rebound slightly.JPY dragged on reports PM Takaichi raised reservations about rate hikes to BoJ Governor Ueda; DXY slightly firmer.Gilts notch a fresh contract high into the TSC, USTs rangebound heading into heavy speaker docket.WTI and Brent mildly gains; Spot gold retreats from Monday's best while Copper gains as mainland China returns. Looking ahead, highlights include US ADP Weekly, House Prices (Dec), Consumer Confidence (Feb), Dallas/Richmond Fed (Feb), Atlanta Fed GDP, NBH Policy Announcement, Speakers including ECB's Lagarde, BoE's Bailey, Greene, Taylor & Pill, Fed's Goolsbee, Collins, Bostic, Waller, Cook & Barkin, Supply from the US, Earnings from Home Depot & Keurig Dr Pepper.Read the full report covering Equities, Forex, Fixed Income, Commodites and more on Newsquawk

A new MP3 sermon from Grace Baptist Church is now available on SermonAudio with the following details: Title: Love Of THE BRETHREN, Pt.1 Subtitle: Studies In 1st John Speaker: Richard Warmack Broadcaster: Grace Baptist Church Event: Sunday Service Date: 2/22/2026 Bible: 1 John 2:7-8 Length: 39 min.

APAC mostly firmer as China returned, somewhat shrugging off the weak Wall St. finish on AI disruption concerns.DXY marginally firmer, EUR/USD directionless, while USD/JPY edged higher and above 155.00.USTs pulled back from Monday's best, Bunds remained near highs, while JGBs saw choppy action after the long weekend.Crude remained tentative amid ongoing geopolitical uncertainty, XAU faded while copper rallied as China returned.Looking ahead, highlights include US ADP Weekly, House Prices (Dec), Consumer Confidence (Feb), Dallas/Richmond Fed (Feb), Atlanta Fed GDP, NBH Policy Announcement, Speakers including ECB's Lagarde, BoE's Bailey, Lombardelli, Greene, Taylor & Pill, Fed's Goolsbee, Collins, Bostic, Waller, Cook & Barkin, Supply from UK, Italy & US, Earnings from Home Depot & Keurig Dr Pepper.Click for the Newsquawk Week Ahead.Read the full report covering Equities, Forex, Fixed Income, Commodites and more on Newsquawk

Chloe Valdez and Madison Mofley, alongside the Sheologie team, are excited to prepare women for the upcoming Bible study, Ever Spoken, beginning March 3. Through encouragement, community, and intentional spiritual preparation, they are helping ladies ready their hearts to explore God's Word in a deeper and more personal way. This study promises meaningful conversations, renewed faith, and a powerful reminder of the truth God has spoken over every woman. Sheologie – The Art of Being Female The post Chloe Valdez and Madison Mofley appeared first on ABQ Connect.

Rylee Norman, Operations Coordinator, and Liz Tafoya, Ministry Relations Manager, with Joni and Friends New Mexico share the latest updates on the ministry's outreach and programs, along with ways the community can get involved, participate, and support their ongoing efforts. New Mexico – Joni and Friends The post Rylee Norman and Liz Tafoya appeared first on ABQ Connect.

Max McLean of Fellowship for Performing Arts shares what audiences can expect as The Screwtape Letters comes to Popejoy Hall at University of New Mexico—a powerful stage adaptation of The Screwtape Letters that brings wit, drama, and timeless themes to life. Fellowship for Performing Arts | Producing theatre from a Christian worldview The post Max McLean appeared first on ABQ Connect.

A new MP3 sermon from Answers in Genesis Ministries is now available on SermonAudio with the following details: Title: When Was the Ice Age? Subtitle: Answers with Ken Ham Speaker: Ken Ham Broadcaster: Answers in Genesis Ministries Event: Radio Broadcast Date: 2/24/2026 Length: 1 min.

Become a part of the Progressive Property refer-a-friend scheme and Earn up to £250 when someone attends one of our events – you can enrol here: https://www.progressiveproperty.co.uk/raf/ For property businesses, 2026 is a noisy year – shiny regeneration schemes, hot new coins, “next big thing” strategies are everywhere, so deciding which direction to go in, is very difficult. Today, Mark cuts through that noise by answering the question he gets asked most: If he had to start again from scratch today, what would he actually do?   He breaks down why he'd still buy simple single lets, move quickly into higher‑end HMOs and blocks, avoid the fads, and use development, debt, and daily habits to build a safer, scalable, more profitable portfolio that survives all kinds of regulation, tax, and market cycles. If you want to take the next step and put what you have learned from this podcast into action, you only need to click here - https://www.wealthbuilders.co.uk/progressive-podcast KEY TAKEAWAYS Blend what you already know, what you're good at and what you enjoy - but make sure every strategy and deal is ruthlessly profitable.   Ignore the shiny penny stuff. Buy unloved assets in real demand areas, force the value through refurb, conversions, and better operations, then hold them.   Leverage the efficiency of owning and running larger assets e.g. a block of flats, HMOs, or co-living spaces. Carry on learning, networking, and improving efficiency. Spread your income across different assets, areas, and deal types, so when tax, regulation, or the market changes negatively for one sector, the rest of your portfolio keeps you afloat.  Build your track record first with smaller wins you can document, then use that evidence to raise JV and private capital on better terms.   Take on sensible debt to build up good assets, let inflation erode that debt, but don´t borrow so much that a downturn can wipe you out.  Take full advantage of the impact of compounding interest. BEST MOMENTS  "Lots of people say, Oh, you just need to follow your passion and follow your dreams. Well, I don't think it's quite that simple."  "Ignore all of the shiny Penny regeneration programmes in property."  "Over the long run, it means that you can't fail, and you'll get richer and richer."  "Too many people think that wealth building is all about finding that one thing that will make you rich. The reality is that it is about developing yourself and developing 1000 daily habits."   VALUABLE RESOURCES MSOPI – Multiple Streams of Income: https://www.progressiveproperty.co.uk https://kevinmcdonnell.co.uk ABOUT THE HOST Sean Fitzpatrick is a property investor, educator, and the Face of Progressive Property. With a 6-figure portfolio and expertise in creative strategies, finance, and off-market deals, Sean shares success stories from the Progressive Property community, expert insights, and real-world strategies to help investors succeed. Tune in for practical tips and no-nonsense advice to accelerate your property journey. ABOUT THE HOST Kevin McDonnell is a Speaker, Author, Mentor & Professional Property Investor. He is an expert when it comes to creative property investment strategies. His book No Money Down: Property Invest talks about how to control and cash flow other people's property to create financial freedom.   CONTACT METHOD https://www.facebook.com/kevinMcDonnellProperty https://kevinmcdonnell.co.uk TikTok: https://www.tiktok.com/@progressiveproperty YouTube: https://www.youtube.com/channel/UC0g1KuusONVStjY_XjdXy6g Twitter: https://twitter.com/progperty LinkedIn: https://www.linkedin.com/company/progressiveproperty Instagram: https://www.instagram.com/progressiveproperty Facebook Community: https://www.facebook.com/groups/progressivepropertycommunity Facebook Page: https://www.facebook.com/Progperty This Podcast has been brought to you by Disruptive Media. https://disruptivemedia.co.uk/

We've learned that nobody that comes on our show is flawless... One of our listeners did a sweet thing for a nice elderly woman, but then the truth eventually came out!See omnystudio.com/listener for privacy information.See omnystudio.com/listener for privacy information.

Listen to Full Audio at https://podcasts.apple.com/us/podcast/beyond-the-prompt-openais-jony-ive-speaker-apples/id1684415169?i=1000751119290

The McCullough Report with Dr. Peter McCullough – An international panel of doctors, scientists, and journalists gathers in the Netherlands to question pandemic data, vaccine policy, and institutional power. Speakers examine mortality reporting, psychological conformity, and medical ethics while urging transparency, scientific debate, and renewed respect for patient autonomy in modern healthcare across rapidly changing global...

The McCullough Report with Dr. Peter McCullough – An international panel of doctors, scientists, and journalists gathers in the Netherlands to question pandemic data, vaccine policy, and institutional power. Speakers examine mortality reporting, psychological conformity, and medical ethics while urging transparency, scientific debate, and renewed respect for patient autonomy in modern healthcare across rapidly changing global...

Have you heard of the Katrina Rose? Well if you haven't, you are in for a treat because on the podcast this week, I talk with Mary Rooney Armand about her new book, *Uniquely Made: Understanding and Embracing Your Identity in Christ. She is going to share about the Katrina Rose and I love the lessons that she learned that we can apply to our lives. We are also going to talk about butterflies-- Mary's website is called butterfly living, so she has lots of truth to share about both butterflies and roses. This episode is so full of truth and I know it is going to encourage your heart. We talk about comparison, friendships, walking through storms of life, and also practical ways to pivot our thoughts. I cannot wait for you to listen. Also, I am so excited for someone to win a copy of Mary's book: *Uniquely Made. All the details of the book giveaway are on my website at jodisnowdon.com or you can click this direct link: https://kingsumo.com/g/1knqxn1/uniquely-made-book-giveaway I wrote an article back in 2023 for Mary's blog called 3 Helpful Steps to Living with No Regrets. Here is the Direct Link to check it out! Book Recommendations: *Experiencing God by Henry Blackaby Mary also mentioned the Explorer's Bible Study that she did in community. Mary Rooney Armand writes faith-based stories inspiring others to grow in their intimacy with Christ. She is an Author, Speaker, and Founder of the blog ButterflyLiving.org. Mary is the author of *Uniquely Made: Understanding and Embracing Your Identity in Christ.and the creator of the collaboration Life Changing Stories. *Note: If you are interested in purchasing this book or the books recommended, I would love for you to use the Amazon Affiliate link above to help support the podcast. Thank you!  

Fearless Agent Coach & Founder Bob Loeffler shares his insights on The Best Way to Get a Price Reduction Skillfully and how it's making his Fearless Agent Coaching Students rich! Fearless Agent Coaching is the Highest Results Producing Real Estate Sales Training and Coaching Program in the Industry and we can prove it will work for you if it's a good fit! Call us today at 480-385-8810 to see if it may be  good fit for you! Telephone Prospecting for Realtors means Cold Calling, Door knocking, Calling for Sale By Owners, Calling Expired Listings, Calling your Sphere of Influence, Farming, Holding Open Houses, but Fearless Agent Coaching Students di all of these completely differently and get massively better results! Find out how! Listen in each week as Bob gives an overview and explains the big ideas behind making big money as a Fearless Agent! If you are earning less selling real estate than you wish you were, and you're open to the idea of having some help, We are here for you! You will never again be in a money making situation with a Buyer, Seller or Investor and not have the right words! You will be very confident! You will be a Fearless Agent! Call Bob anytime for more information about Fearless Agent Coaching for Agents, Fearless Agent Recruiting Training for Broker/Owners, or hiring Bob as a Speaker for your next Event! Call today 480-385-8810 - or go to https://fearlessagent.com Telephone Prospecting for Realtors means Cold Calling, Door knocking, Calling for Sale By Owners, Calling Expired Listings, Calling your Sphere of Influence, Farming, Holding Open Houses, Spin Selling, but Fearless Agent Coaching Students do all of these completely differently and get massively better results! Find out how! Are You an Owner of a Real Estate Company - need help Recruiting Producing Agents - Call today! 480-385-8810 and go to FearlessAgentRecruiting.com and watch our Recruiting Video Real Estate Coaching training Real estate training real estate coaching real estate speaker real estate coach real estate sales sales training realtor realtor training realtor coach realtor coaching realtor sales coaching realtor recruiting real estate agent real estate broker realtor prospecting real estate prospecting prospecting for listings calling expired listings calling for sale by owners realtor success Best Realtor Coach Best Real Estate Coach Spin SellingSupport the show: https://fearlessagent.comSee omnystudio.com/listener for privacy information.

John LeBaron is the CRO at Pattern, the leading e-commerce accelerator that helps brands scale profitably across marketplaces worldwide. John runs the SaaS and Services business units for Pattern and oversees all global go-to-market activities for the company and its partners. Prior to joining Pattern, John ran marketing for the Google Cloud business at Rackspace and has held a variety of global marketing roles with leading tech companies including Apple, Cisco, and Ciena. He holds an MBA from the Kellogg School of Management, an MSW from Columbia University, and a B.A. in Communications from Brigham Young University.Highlight Bullets> Here's a glimpse of what you would learn…. Challenges faced by e-commerce brands, particularly on Amazon, including competition and pricing pressures.The importance of inventory management and maintaining stock levels to avoid losing market share.Strategies for optimizing conversion rates, focusing on product imagery and continuous testing.The role of data-driven approaches in improving traffic, conversion, price, and availability.The significance of strategic pay-per-click (PPC) advertising and its relationship with organic rankings.Insights on leveraging AI and technology for product listing optimization and advertising efficiency.The impact of overseas competitors on the e-commerce landscape and brand profitability.The concept of the "e-commerce equation" and its components: traffic, conversion, price, and availability.Best practices for managing logistics and shipping to enhance operational efficiency.The importance of continuous improvement and adapting to changes in the e-commerce environment.In this episode of the Ecomm Breakthrough Podcast, host Josh Hadley interviews John LeBaron, CRO at Pattern. They discuss how e-commerce brands can profitably scale on Amazon amid rising competition, pricing pressures, and operational challenges. John shares Pattern's data-driven strategies—optimizing inventory, pricing, traffic, and conversion—using advanced AI tools and logistics solutions. Key takeaways include the importance of inventory availability, rigorous conversion rate optimization, and strategic PPC management to build organic rankings. The episode offers actionable advice for brands seeking sustainable growth and highlights Pattern's role as a partner in navigating today's complex e-commerce landscape.Here are the 3 action items that Josh identified from this episode:Protect Your Availability or Lose the GameForecast demand aggressively, fix your inbound bottlenecks, and partner with fast-moving 3PLs—because every stockout destroys ranking, momentum, and profit.Obsess Over Conversion, Starting With the Main ImageRun continuous A/B tests on your hero image, audit your live content weekly, and optimize every element (titles, bullets, A+, coupons, bundles) to lift conversion without increasing ad spend.Use PPC to Own Keywords, Not Rent Them ForeverShift ad spend toward keywords that improve organic rank, monitor Buy Box and conversion signals, and prioritize long-tail opportunities to build profitable, compounding visibility.Resources mentioned in this episode:Josh Hadley on LinkedIneComm Breakthrough ConsultingeComm Breakthrough PodcastEmail Josh Hadley: Josh@eCommBreakthrough.comTmallTikTokWalmartPickFuLovable AIPatternLinkedInThe E-MythAtomic HabitsAll In PodcastSpecial Mention(s):Adam “Heist” Runquist on LinkedInKevin King on LinkedInMichael E. Gerber on LinkedInRelated Episode(s):“Cracking the Amazon Code: Learn From Adam Heist's Brand Scaling Secrets” on the eComm Breakthrough Podcast“Kevin King's Wicked-Smart Tips for Building an Audience of Raving Fans” on the eComm Breakthrough Podcast“Unlocking Entrepreneurial Greatness | Insider Secrets With E-myth Author Michael Gerber” on the eComm Breakthrough PodcastEpisode SponsorSponsor for this episode...This episode is brought to you by eComm Breakthrough Consulting where I help seven-figure e-commerce owners grow to eight figures. I started Hadley Designs in 2015 and grew it to an eight-figure brand in seven years.I made mistakes along the way that made the path to eight figures longer. At times I doubted whether our business could even survive and become a real brand. I wish I would have had a guide to help me grow faster and avoid the stumbling blocks.If you've hit a plateau and want to know the next steps to take your business to the next level, then go to www.EcommBreakthrough.com (that's Ecomm with two M's) to learn more.Transcript AreaJohn Lebaron 00:00:00  We're absolute zealots around something we call the e-commerce equation, which is revenue as a function of traffic times, conversion times, price times, availability. And I think that's very much the way that we think about accelerating brands is just isolating those specific variables of the equation and really going to work on okay for traffic, for example, there's paid traffic. There's, you know, organic traffic, there's off platform traffic. And what are all the hundreds of different kind of atomic levers that we want to pull and automate increasingly via AI for the brands that we represent. And and then helping them set an expectation, helping them forecast appropriately, helping them understand what is their ops upside.Speaker 2 00:00:47  Welcome to the E-comm Breakthrough Podcast. Are you ready to unlock the full potential and growth in your business? You've already crossed seven figures in sales, but the challenge is knowing how to take your business to the next level.Josh Hadley 00:01:00  Are you tired of getting squeezed by Amazon, watching your sales fall? Watching more overseas competitors come in to overtake your market share? Watching the race to the bottom pricing.Josh Hadley 00:01:12  Well, today's guest has the answer for you of how to di...

On Episode 147 of the Guest Speaker Series, we are joined by rising hip-hop artist KSAP! Currently a senior at Medford High School, KSAP is the youngest guest we have ever had on the show, as well as the youngest artist to be nominated for a Boston Music Award this past December for his music video “100 Miles”. Despite not taking home the award, KSAP reflects on what he still feels like is a win and a huge achievement, especially as he got accepted to Berklee College of Music shortly after. KSAP discusses what he hopes to learn there, as well as his goals for his future in music. KSAP also shares the deep connections he's made in Medford, particularly within the high school community, and talks at length about the support he's received throughout his young music career. He also praises his mother & grandparents for their encouragement and credits them for helping him become the young man and artist he is today. KSAP & Mike also reflect on the Boston music scene as whole, discussing what KSAP believes is a lack of mutual support amongst creatives, and how to potentially navigate the landscape and create positive change within the culture. KSAP brings a fresh perspective not only to the genre of hip-hop, but how to effectively create a brand and a movement that impacts his peers. KSAP is a bright and innovative mind that has all of the aspects necessary to be a musical mainstay in Boston and beyond for years to come. Follow KSAP on Instagram: https://www.instagram.com/ksapmusic/ Stream 'Didn't Ask To Feel This Much' on Apple Music: https://music.apple.com/ca/album/didnt-ask-to-feel-this-much/1816919497 Stream 'Didn't Ask To Feel This Much' on Spotify: https://open.spotify.com/album/59hX5pIDsWoAHUPWDMCaHu?si=gJT3I4aBQe6HI6yg_APigQ Check out our studio, AOA Studios, and book a session or service with us: https://www.aoastudios.org Follow our social media and blogs Instagram - https://www.instagram.com/turntableteachers/?hl=en Tik Tok - https://www.tiktok.com/@turntableteachers Blog - https://www.turntableteachers.com/blog Shop - https://www.turntableteachers.com/shop Subscribe to our streaming services Apple - https://podcasts.apple.com/us/podcast/the-turntable-teachers/id1448694925 Google Play - https://playmusic.app.goo.gl/?ibi=com.google.PlayMusic&isi=691797987&ius=googleplaymusic&apn=com.google.android.music&link=https://play.google.com/music/m/Icujt6fhi2je7zzfxjkr7glcowe?t%3DThe_Turntable_Teachers%26pcampaignid%3DMKT-na-all-co-pr-mu-pod-16 Soundcloud - https://soundcloud.com/user-538618877 Spotify - https://open.spotify.com/show/4UJh499meoTP5wV2b2jrb0?si=EMaTjq9CR2-_zA6orKQNEQ

In this Episode Dr Diane interviews Dr Fred Cho, Travel Optometrist, Speaker and Blogger, as well as co-host of the 20/Happy Podcast. Dr Cho shares his experience of quiet burnout and what he did to redesign his life and work to make space for more creativity, flexibility and passion projects.    Read more about Dr Cho's work here: https://www.fredhcho.com/  Join the Pivot Crash Course and start building your career with clarity and confidence

Oftentimes, the church views “no” as a negative response from God—but when it comes from a loving Father, “no” can have a powerful impact…

In this episode, I sit down with Kenneth Shek from Animoca during Consensus Week in Hong Kong.We talk about what it really takes to drive mass adoption in Web3. Not hype. Not narratives. Real users.Kenneth shares how Moca Network is building the identity layer for the future of programmable money. We go deep into AI-native infrastructure, stablecoins, loyalty systems, and why distribution is the real moat.We also discuss why most Web3 projects struggle with adoption, what Web2 got right, and how AI agents will reshape commerce by 2026.If you care about identity, payments, AI, or building the next killer app in crypto, this episode is for you.Key LearningsKenneth's journey from startups, AI, and Accenture to AnimocaWhy identity is the missing layer for stablecoins and AI agentsWhy blockchain hasn't hit mass adoption yetThe biggest lesson from talking to enterprise customersAIR: Account, Identity, Reputation explainedWhy one-click UX matters more than decentralizationAI agents replacing front-ends and changing product designRegulatory fragmentation and global crypto challengesWhy distribution beats building another “killer app”Stablecoins, RWA, and the future of programmable loansIf starting today: build AI-agent native from day oneHiring engineers, fintech builders & strategic partnersConnect with Mocahttps://moca.network/enhttps://x.com/Moca_Networkhttps://t.me/MocaverseCommunityhttps://www.linkedin.com/in/ks20/ DisclaimerNothing mentioned in this podcast is investment advice and please do your own research.It would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.Be a guest on the podcast or contact us - https://www.web3pod.xyz/

Is there something you've experienced that was so painful, you haven't been able to fully forgive?Living on this earth opens us up to ample opportunities tobe hurt, betrayed and even victimized. We all have had varying degrees of emotional, physical, sexual and spiritual pain, with the damage ranging from mild to life-altering, and devastating. The bigger the nightmare event in our lives, the harder it can be to forgive the perpetrators. We by nature maywant revenge, or to make our offenders "pay" and can hold onto anger, rage and bitterness knowingly or even unknowingly. We can't fully forgive in and of ourselves, without God.Fortunately, we serve a God that is well aware of our earthly struggles with forgiveness. God is not standing off in a corner of the room, judging us for our frail, and fragile hearts that war with what feels like letting someone off the hook. God, in His perfect love, has provided ways to walk through the forgiveness journey. Listen in today as Tiffany Jo Bakerspeaks with Mark Sowersby, the author of Forgiving the Nightmare which discusses the hidden hell that God brought him out of, and how he was able to forgive his abuser and the incredible freedom that was waiting for him on the other side.Listen in for:Why unforgiveness opens the door to satan's attacksHow God is waiting to walk you through the forgiveness journeyWays you can discover that you are truly forgiving and healingFavorite Quotes:"I didn't start this story or testimony by seeking forgiveness, I started it by seeking the Lord, and the Lord would bring me toforgiveness." - Mark Sowersby"It was God's words that became sweeter, and louder than my abuser's words." - Mark Sowersby"Forgiveness comes in waves, and seasons." - Mark SowersbyFavorite Scripture:"If you forgive others when they sin against you, your Heavenly Father will also forgive you, but if you do not forgive them, your sins will not be forgiven." - Matthew 6:14-15To learn more about Mark Sowersby, his ministry and all ofhis resources, please visit http://www.forgivingthenightmare.com. *Want timely words, resources, and episodes delivered rightto your inbox to help you fuel and fulfill your faith journey? Simply subscribe today to never miss an episode at https://www.tiffanyjobaker.com/subscribe (don'tworry, you won't get spam or excessive emails)*If you're looking for perfectly polished people or podcast,this isn't for you.. We're real people, with real good information, and a really great God. Don't miss the next Tiffany Jo Baker Podcast episode as wecontinue to help you GET FREE, LIVE FULL & THANK GOD! You can watch on YouTube and https://www.tiffanyjobaker.com/tiffany-jo-baker-podcast or listen in on Apple Podcasts, Spotify, or your favorite podcast player. Ratings and reviews are like high-fives and “go-girl's” on podcasts. Helping you refresh and refocus so you can do all the thingsyou are called and created to do, my 31 Day Devotional “Soul-Care for Go-Getters” is available on Amazon and my website shop here. ( https://www.tiffanyjobaker.com/go-getters-devo ) As a 3x Surrogate, Speaker, Soul-Care and Success Coach andHoly Spirit-led Strategist, I uplift the soul and success of women like you who are walking out your WHY, so you can birth your God-given dreams at home, online, and in the real world. Find me, @TiffanyJoBaker, on Instagram, Facebookand https://www.tiffanyjobaker.com. I would love to connect with you there!

A new MP3 sermon from Albert Mohler | The Briefing is now available on SermonAudio with the following details: Title: Monday, February 23, 2026 Subtitle: Cultural Commentaries Speaker: Dr. R. Albert Mohler, Jr. Broadcaster: Albert Mohler | The Briefing Event: Current Events Date: 2/23/2026 Length: 25 min.

In this conversation, Justin Merrill explores the profound themes of grace, identity, and the nature of God through the lens of the parable of the Prodigal Son. He emphasizes that the parables of the lost sheep, lost coin, and lost son collectively reveal God's relentless pursuit of humanity and His desire for restoration. The discussion highlights the contrasting perspectives of the younger and elder sons, illustrating how both can misunderstand the Father's heart. Ultimately, the message centers on the unconditional love and acceptance that God offers to all, regardless of their past or performance, inviting listeners to embrace their identity as beloved children of God.

A new MP3 sermon from Covenant Baptist Church is now available on SermonAudio with the following details: Title: The Desperate Need For Discernment Speaker: Pastor Charles Swann Broadcaster: Covenant Baptist Church Event: Sunday Service Date: 2/22/2026 Bible: Ephesians 4:11-14 Length: 63 min.

Unser heutiger Gast hat früh lernen müssen, was es heißt, mit Rückschlägen zu leben und daran zu wachsen. Er verlor früh beide Eltern, überlebte im Alter von 13 Jahren einen Starkstromunfall nur knapp und lebt seitdem ohne Beine und ohne rechten Arm. Später folgte die Diagnose eines unheilbaren Lymphdrüsenkrebses. Doch auch diese Herausforderung hat er überlebt. Heute ist er Unternehmer, Speaker und einer der bekanntesten Inklusionsgestalter Deutschlands. Mit den Potenzial Pionieren und dem Inklusionsfit Institut begleitet er Unternehmen, Kommunen und Organisationen, die Inklusion nicht nur als Haltung verstehen wollen, sondern als strategisches und wirtschaftliches Handlungsfeld. Sein Weg führte vom internationalen Rollstuhlbasketball bis an die Spitze der Rhine River Rhinos, die er heute als Geschäftsführer leitet. Seine Botschaft ist klar: Inklusion funktioniert, wenn wir bereit sind, uns ehrlich zu begegnen: ohne Zwang, ohne Mitleid, sondern mit gegenseitigem Respekt und der Bereitschaft, Verantwortung zu übernehmen. MT Seit mehr als acht Jahren beschäftigen wir uns in diesem Podcast mit der Frage, wie Arbeit den Menschen stärkt, statt ihn zu schwächen. In über 500 Episoden mit fast 700 Persönlichkeiten haben wir darüber gesprochen, was sich verändert hat und was sich weiter ändern muss. Was können wir von Menschen lernen, die durch extreme Erfahrungen eine ganz andere Perspektive auf Leistung, Gesundheit und Sinn im Berufsleben mitbringen? Wie gelingt echte Inklusion, jenseits von Symbolik, mit klaren Konzepten und betriebswirtschaftlicher Relevanz? Und was braucht es, damit Unternehmen Inklusion nicht als Pflichtaufgabe sehen, sondern als Chance? Fest steht: Für die Lösung unserer aktuellen Herausforderungen brauchen wir neue Impulse. Wir suchen weiter nach Methoden, Vorbildern, Erfahrungen, Tools und Ideen, die uns dem Kern von New Work näher bringen. Darüber hinaus beschäftigt uns von Anfang an die Frage, ob wirklich alle Menschen das finden und leben können, was sie im Innersten wirklich wirklich wollen. Ihr seid bei On the Way to New Work: heute mit Mirko Korder. Und ein besonderer Dank geht an David Hillmer vom Podcast Unboxing New Work, der uns zusammengebracht hat. [Hier](https://linktr.ee/onthewaytonewwork) findet ihr alle Links zum Podcast und unseren aktuellen Werbepartnern **Mirkos Projekte & Angebote** [Potenzial Pioniere](https://potenzial-pioniere.de/) – Deine Anlaufstelle für Purpose-Prozesse, Workshops und inspirierende Keynote Speaker. [Rhine River Rhinos](https://www.rhine-river-rhinos.de/) – Unterstütze Mirkos sportlichen Traum von der Deutschen Meisterschaft oder erlebe ein Rollstuhlbasketball-Spiel live! [Inklusionsfit Institut](https://inklusionsfit.de/) – Beratung, Programme und Zertifizierungen, um Inklusion in deiner Organisation messbar und wirksam zu machen. Mirko und Olli Dürr arbeiten an einem gemeinsamen Doku-Filmprojekt, das bisher komplett eigenfinanziert ist. Du willst das Projekt unterstützen oder mehr erfahren? Geh direkt in den Austausch: [Olli Dürr auf LinkedIn kontaktieren](https://de.linkedin.com/in/olli-duerr-b91944212?trk=public_post-text)

The following sermon was chosen as a 'staff-pick' on SermonAudio: Title: Thermometer or Thermostat? Subtitle: 3-Year Bible Reading Plan Speaker: Dr. Jeff Meyers Broadcaster: Jeff Meyers Crossroads Ministries Event: Sunday - AM Date: 10/7/2018 Bible: Acts 13:44-52 Length: 29 min.

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Have you ever wondered how introverts excel in fields that require putting themselves in the spotlight—like acting and performing? In this episode of the Quiet And Strong Podcast, host David Hall sits down with guest Dr. Albert Bramante, a seasoned talent agent and performance psychologist, to explore the surprising strengths introverts bring to the stage and the creative world.Listeners will learn why self-doubt and self-sabotage often stand in the way of success—and how introverts can reframe challenges as stepping stones, not setbacks. Dr. Albert Bramante shares actionable strategies to build self-esteem, boost self-efficacy, and overcome common roadblocks like the fear of rejection, perfectionism, and the often-overlooked fear of success. Discover the truth behind the myth that actors must be extroverts, and hear stories of how introverts harness their creativity, depth, and imagination to thrive in performing arts and beyond.Whether you're an introvert looking to embrace your strengths, or someone curious about the psychology of high performers, this episode offers real-world advice and inspiration to help you confront self-doubt, master your mindset, and be strong.Episode Link: QuietandStrong.com/264Dr. Albert Bramante is a talent agent, performance psychologist, and mindset expert who has spent over 20 years helping high performers—both in the entertainment industry and beyond—conquer their mental roadblocks. With a Ph.D. in Psychology and certifications in hypnosis and NLP, he bridges the gap between talent, business success, and the psychology of peak performanceConnect with Albert:Website | Instagram | LinkedInGet Dr. Bramante's book Rise Above the ScriptSend a textSupport the show- - -Contact the Host of the Quiet and Strong Podcast:David Hall Author, Speaker, Educator, Podcaster quietandstrong.comGobio.link/quietandstrongdavid [at] quietandstrong.com NOTE: This post may contain affiliate links. I may earn a commission if you make a purchase, at no extra cost to you. Take the FREE Personality Assessment: Typefinder Personality Assessment Follow David on your favorite social platform:Twitter | Facebook | Instagram | LinkedIn | Youtube Get David's book:Minding Your Time: Time Management, Productivity, and Success, Especially for Introverts Get Quiet & Strong Merchandise

MeidasTouch host Ben Meiselas reports on Donald Trump crashing the Republican Party and almost certainly ending MAGA Mike's time as Speaker and Meiselas interviews Saikat Chakrabarti about his race in California's 11th Congressional District. Visit https://meidasplus.com for more! Remember to subscribe to ALL the MeidasTouch Network Podcasts: MeidasTouch: https://www.meidastouch.com/tag/meidastouch-podcast Legal AF: https://www.meidastouch.com/tag/legal-af MissTrial: https://meidasnews.com/tag/miss-trial The PoliticsGirl Podcast: https://www.meidastouch.com/tag/the-politicsgirl-podcast The Influence Continuum: https://www.meidastouch.com/tag/the-influence-continuum-with-dr-steven-hassan Mea Culpa with Michael Cohen: https://www.meidastouch.com/tag/mea-culpa-with-michael-cohen The Weekend Show: https://www.meidastouch.com/tag/the-weekend-show Burn the Boats: https://www.meidastouch.com/tag/burn-the-boats Majority 54: https://www.meidastouch.com/tag/majority-54 Political Beatdown: https://www.meidastouch.com/tag/political-beatdown On Democracy with FP Wellman: https://www.meidastouch.com/tag/on-democracy-with-fpwellman Uncovered: https://www.meidastouch.com/tag/maga-uncovered Coalition of the Sane: https://meidasnews.com/tag/coalition-of-the-sane Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices