Podcasts about distributed

Have you ever found community through your art? In this episode of Identified, Nabil Ayers sits down with musician Ryan Kattner to talk about growing up in an Air Force family, moving every three years, and never quite feeling rooted in one place. Ryan reflects on being mixed race, with a Filipino mother and a white father, and how navigating different cultural spaces shaped his sense of identity. He shares what it was like to feel caught between worlds, passing in some environments while feeling out of place in others. The conversation explores how constant movement shaped his understanding of family, where friends often became family, and how music eventually became a space where he felt understood and connected. Ryan also talks about the realities of life on the road, the bond that forms between musicians, and how creativity can help process loss and major life moments. Guest: Ryan Kattner Host: Nabil Ayers Executive Producer: Kieron Banerji Produced and Distributed by: Palm Tree IslandSee omnystudio.com/listener for privacy information.

Director Helen Cho shares a story that she wrote for SongWriter about learning to appreciate her mother's perspective on caregiving and life. Dr. Komal Patel Murali talks about the burdens and challenges of first generation immigrants, especially in their relationships with their parents. Songwriter Alison Mosshart of The Kills talks about her long friendship with Helen, and how she wrote a rocker about rebellion and joy.SongWriterPodcast.comInstagram.com/SongWriterPodcastFacebook.com/SongWriterPodcastTikTok.com/@SongWriterPodcastYouTube.com/@SongwriterPodcastSongWriter is a music and songwriting podcast that turns stories into songs. Host Ben Arthur invites writers, poets, and musicians to share a story or poem, then pairs it with an original song written in response. Along the way, the show explores the creative process through intimate conversations and performances. Guests have included Questlove, Susan Orlean, David Gilmour, David Sedaris, George Saunders, and many more. Distributed by PRX, SongWriter also appears on the syndicated radio program Acoustic Café and in Paste Magazine. Learn more at SongWriterPodcast.com. Season seven is made possible by a grant from Templeton World Charity Foundation

This is part 1 in our Lent series called, "Winners" with our lead pastor, Mike O'Shea. You can watch the digital service on YouTube: https://youtu.be/6uq4otuXQ34 If you had questions during the message, text them to 567-246-0807 and we will contact you to discuss your thoughts. *Closing Song is "Take My Life And Let It Be" - Norton Hall Band - Lyrics: Frances Ridley Havergal, Henri Abraham Cesar Malan - © Words: Public Domain; Music: Public Domain, The Institute for Biblical Worship **Video clip used in the sermon through the Fair Use act and under the Religious Service Exemption (17 U.S. Code § 110(3)): "A Knight's Tale" - Copyright 2001 - © 2001 Columbia Pictures Industries, Inc., Escape Artists, Finestkind Productions, Distributed by Sony Pictures Releasing **Used with permission under CVLI License #505513061

While many families were celebrating the holiday season — gathering around tables and cherishing time together — the Fisher family was about to receive news so devastating it would forever alter their lives. This is the tragic story of the murders of Genene Fisher and her two-year-old daughter, Karlie Watkins. You can listen to our NEW episode on Spotify, Apple Podcasts, and all other streaming platforms. — Mientras muchas familias celebraban la temporada de los días festivos — reuniéndose alrededor de la mesa y pasando el tiempo juntos — la familia Fisher estaba a punto de recibir una noticia tan devastadora que cambiaría sus vidas para siempre. Esta es la trágica historia de los asesinatos de Genene Fisher y su hija de dos años, Karlie Watkins. Puede escuchar nuestro NUEVO episodio en Spotify, Apple Podcasts y todas las demás plataformas de transmisión. — Buy Us A Coffee: https://buymeacoffee.com/svsm_podcast  — Link + Sources: Click2Houston: https://youtu.be/9J_xy8M7fOc?si=9ZTu2X3c2OpzeHWL FOX 25 Houston: https://www.fox26houston.com/news/houston-stabbing-kendrick-fisher-woman-toddler-update Family of man charged with murdering sister, niece says deaths could have been prevented People: https://people.com/man-accused-killing-sister-2-year-old-found-asleep-same-apartment-8753690 ABC 13 News: https://abc13.com/post/kendrick-fisher-capital-murder-arrest-family-plans-vigil-mother-2-year-old-daughter-stabbed-death-west-houston/15613359/ Click2Houston: https://www.click2houston.com/news/local/2024/11/30/man-arrested-charged-in-deadly-west-houston-stabbing-of-his-sister-and-niece/ — Distributed by Genuina Media — Buy Us A Coffee: https://buymeacoffee.com/svsm_podcast — Follow Us:Instagram: https://www.instagram.com/SVSM_PodcastThreads: https://www.threads.net/@svsm_podcastTwitter/ X: https://www.twitter.com/SVSM_PodcastBlueSky: https://bsky.app/profile/svsmpodcast.bsky.socialFacebook: https://www.facebook.com/SoViolentoSoMacabroPodcastTikTok: https://www.tiktok.com/@svsm_podcastYouTube: https://www.youtube.com/@svsm_podcast Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In honor of the 800th episode, we decided to watch The Simpsons Movie. Directed by David SilvermanScreenplay byJames L. Brooks, Matt Groening, Al Jean, Ian Maxtone-Graham, George Meyer, David Mirkin, Mike Reiss, Mike Scully, Matt Selman, John Swartzwelder, Jon VittiBased on The Simpsons by Matt GroeningProduced by James L. Brooks, Matt Groening, Al Jean, Mike Scully, Richard SakaiStarring Dan Castellaneta, Julie Kavner, Nancy Cartwright, Yeardley Smith, Hank Azaria, Harry Shearer, Pamela Hayden, Tress MacNeille, Albert Brooks, Joe Mantegna, Tom HanksEdited by John CarnochanMusic by Hans ZimmerProduction companies Gracie Films[1] 20th Century Fox Animation[2] Distributed by20th Century FoxRelease dates July 21, 2007 (Springfield)July 27, 2007 (United States)Running time87 minutesBudget $75,000,000 (estimated)Gross US & Canada$183,135,014Opening weekend US & Canada$74,036,787Jul 29, 2007Gross worldwide$536,414,293

Send a text0:20 - Agenda0:55 - WNBA CBA Negotiations Updates8:50 - Broke behavior among owners15:00 - South Carolina beats LSU for the 18th STRAIGHT time46:10 - “Flau'jae didn't lose, LSU did” - Reacting to Flau'jae's mom's commentsDemon(s) of the Week:54:37 - Georgia Bulldog58:20 - Columbia59:37 - Monmouth1:00:10 - Oklahoma State1:00:31 - Texas Tech is heating up1:01:23 - Most Impactful Transfers1:05:15 - Coach Yo calls Cotie McMahon a “generational talent” 1:06:32 - Back to Impactful Transfers1:18:16 - Should you draft a point guard as your last piece in the W?1:36:55 - Minnesota is heating up!1:40:20 - Chelsea Gray is incredible and other Unrivaled updates1:43:50 - Kaitlyn Chen + Old Heads, Athletes Unlimited updates1:44:48 - Unrivaled be begging?1:47:18 - Stewie goes to Fener1:50:52 - Potential upsets, Coach Yo takes the high road & closing agendashttps://linktr.ee/pullup3 | Distributed via SteadyHype Studios

Hyperscalers are spending, but when will this capex help companies to improve returns? In this episode, Sean Kenney sits down with guests Erica Zieba and John Haddad to delve into the massive capex expansion in 2026, focusing on the underlying funding arrangements and, ultimately, generating returns. They also share examples on how equity and fixed income investors are working together to understand what it means across the capital structure and sectors. Listen in for unique insights to help you identify opportunities as well as warning flags.   Distributed by: U.S. – MFS Institutional Advisors, Inc. 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“You can create a virtual board of directors that will have different expertises and that will come up with ideas that a given person may not come up with.” – Felipe Csaszar About Felipe Csaszar Felipe Csaszar is the Alexander M. Nick Professor and chair of the Strategy Area at the University of Michigan’s Ross School of Business. He has published and held senior editorial roles in top academic journals including Strategy Science, Management Science, and Organization Science, and is co-editor of the upcoming Handbook of AI and Strategy. Webiste: papers.ssrn.com LinkedIn Profile: Felipe Csaszar University Profile: Felipe Csaszar What you will learn How AI transforms the three core cognitive operations in strategic decision making: search, representation, and aggregation. The powerful ways large language models (LLMs) can enhance and speed up strategic search beyond human capabilities. The concept and importance of different types of representations—internal, external, and distributed—in strategy formulation. How AI assists in both visualizing strategists' mental models and expanding the complexity of strategic frameworks. Experimental findings showing AI's ability to generate and evaluate business strategies, often matching or outperforming humans. Emerging best practices and challenges in human-AI collaboration for more effective strategy processes. The anticipated growth in framework complexity as AI removes traditional human memory constraints in strategic planning. Why explainability and prediction quality in AI-driven strategy will become central, shaping the future of strategic foresight and decision-making. Episode Resources Transcript Ross Dawson: Felipe, it’s a delight to have you on the show. Felipe Csaszar: Oh, the pleasure is mine, Ross. Thank you very much for inviting me. Ross Dawson: So many, many interesting things for us to dive into. But one of the themes that you’ve been doing a lot of research and work on recently is the role of AI in strategic decision making. Of course, humans have been traditionally the ones responsible for strategy, and presumably will continue to be for some time. However, AI can play a role. Perhaps set the scene a little bit first in how you see this evolving. Felipe Csaszar: Yeah, yeah. So, as you say, strategic decision making so far has always been a human task. People have been in charge of picking the strategy of a firm, of a startup, of anything, and AI opens a possibility that now you could have humans helped by AI, and maybe at some point, AI is designing the strategies of companies. One way of thinking about why this may be the case is to think about the cognitive operations that are involved in strategic decision making. Before AI, that was my research—how people came up with strategies. There are three main cognitive operations. One is to search: you try different things, you try different ideas, until you find one which is good enough—that is searching. The other is representing: you think about the world from a given perspective, and from that perspective, there’s a clear solution, at least for you. That’s another way of coming up with strategies. And then another one is aggregating: you have different opinions of different people, and you have to combine them. This can be done in different ways, but a typical one is to use the majority rule or unanimity rule sometimes. In reality, the way in which you combine ideas is much more complicated than that—you take parts of ideas, you pick and choose, and you combine something. So there are these three operations: search, representation, and aggregation. And it turns out that AI can change each one of those. Let’s go one by one. So, search: now AIs, the current LLMs, they know much more about any domain than most people. There’s no one who has read as much as an LLM, and they are quite fast, and you can have multiple LLMs doing things at the same time. So LLMs can search faster than humans and farther away, because you can only search things which you are familiar with, while an LLM is familiar with many, many things that we are not familiar with. So they can search faster and farther than humans—a big effect on search. Then, representation: a typical example before AI about the value of representations is the story of Merrill Lynch. The big idea of Merrill Lynch was how good a bank would look if it was like a supermarket. That’s a shift in representations. You know how a bank looks like, but now you’re thinking of the bank from the perspective of a supermarket, and that leads to a number of changes in how you organize the bank, and that was the big idea of Mr. Merrill Lynch, and the rest is history. That’s very difficult for a human—to change representations. People don’t like changing; it’s very difficult for them, while for an AI, it’s automatic, it’s free. You change their prompt, and immediately you will have a problem looked at from a different representation. And then the last one was aggregating. You can aggregate with AI virtual personas. For example, you can create a virtual board of directors that will have different expertises and that will come up with ideas that a given person may not come up with. And now you can aggregate those. Those are just examples, because there are different ways of changing search, representation, and aggregation, but it’s very clear that AI, at least the current version of AI, has the potential to change these three cognitive operations of strategy. Ross Dawson: That’s fantastic. It’s a novel framing—search, representation, aggregation. Many ways of framing strategy and the strategy process, and that is, I think, quite distinctive and very, very insightful, because it goes to the cognitive aspect of strategy. There’s a lot to dig into there, but I’d like to start with the representation. I think of it as the mental models, and you can have implicit mental models and explicit mental models, and also individual mental models and collective mental models, which goes to the aggregation piece. But when you talk about representation, to what degree—I mean, you mentioned a metaphor there, which, of course, is a form of representing a strategic space. There are, of course, classic two by twos. There are also the mental models which were classically used in investment strategy. So what are the ways in which we can think about representation from a human cognitive perspective, before we look at how AI can complement it? Felipe Csaszar: I think it’s important to distinguish—again, it’s three different things. There are three different types of representations. There are the internal representations: how people think in their minds about a given problem, and that usually people learn through experience, by doing things many times, by working at a given company—you start looking at the world from a given perspective. Part of the internal representations you can learn at school, also, like the typical frameworks. Then there are external representations—things that are outside our mind that help us make decisions. In strategy, essentially everything that we teach are external representations. The most famous one is called Porter’s Five Forces, and it’s a way of thinking about what affects the attractiveness of an industry in terms of five different things. This is useful to have as an external representation; it has many benefits, because you can write it down, you can externalize it, and once it’s outside of your mind, you free up space in your mind to think about other things, to consider other dimensions apart from those five. External representations help you to expand the memory, the working memory that you have to think about strategy. Visuals in general, in strategy, are typical external representations. They play a very important role also because strategy usually involves multiple people, so you want everybody to be on the same page. A great way of doing that is by having a visual so that we all see the same. So we have internal—what’s in your mind; external—what you can draw, essentially, in strategy. And then there are distributed representations, where multiple people—and now with AI, artifacts and software—among all of them, they share the whole representation, so they have parts of the representation. Then you need to aggregate those parts—partial representations; some of them can be internal, some of them are external, but they are aggregated in a given way. So representations are really core in strategic decision making. All strategic decisions come from a given set of representations. Ross Dawson: Yeah, that’s fantastic. So looking at—so again, so much to dive into—but thinking about the visual representations, again, this is a core interest of mine. Can you talk a little bit about how AI can assist? There’s an iterative process. Of course, visualization can be quite simple—a simple framework—or visuals can provide metaphors. There are wonderful strategy roadmaps which are laid out visually, and so on. So what are the ways in which you see AI being able to assist in that, both in the two-way process of the human being able to make their mental model explicit in a visualization, and the visualization being able to inform the internal representation of the strategist? Are there any particular ways you’ve seen AI be useful in that context? Felipe Csaszar: So I was very intrigued—as soon as LLMs became popular, were launched—yeah, ChatGPT, that was in November 2022—I started thinking, there are so many ways in which this could be used. So myself and two co-authors, Hyunjin Kim and Harsh Ketkar, we wrote a paper, one of the initial papers on how AI can be used in strategy. It’s published in Strategy Science, and in that paper, we explore many ways in which AI could be used in strategy. Of course, you can ask AI about coming up with answers to questions that you may have. You can also use AI to use any of these frameworks that have been developed in strategy. It was very clear to us that it was usable. Then the question was, how good are those uses? What’s the quality of current AI doing this type of task? So what we did is an experiment where we compared the performance of AI to the performance of humans. In strategy, there are two types of tasks: one is to generate alternatives, and the other is to select alternatives. You have a problem—the first thing you want to do is have possible solutions, and then you want to be able to pick the best out of those. So we had two experiments: one where we measured the ability of AI to generate alternatives, another to select. For generation, what we did is we got data from a business plan competition where people were applying with business plans that all had the same format. The important thing is that the first paragraph of that application had the problem—a problem that they thought was important. So we took all of those applications and removed everything except for the problem, and then we gave that problem to an AI and asked the AI, “Hey, complete the rest of the business plan.” So now we have business plans that are real, and the AI twins of those—business plans created by an AI that try to solve the same problem. Then we put both in a kind of business plan competition, where we had people with experience in investments ranking all of these business plans, and they didn’t know which ones were created by humans and which ones were created by AIs. We looked at their evaluations at the end of the day, and on average, the ones that were generated by the AI were ranked a little bit higher—7% higher—than the ones that were generated by humans. So at least in this very specific context of business plan competitions, there’s potential. We’re saying, hey, AI could generate things at a level that is comparable to the people applying to this type of business plan competition. That has a lot of potential. We could use it in different ways. The other part of this study was to measure the ability of AI to select strategies among strategies. There, what we did is use data from another business plan competition, where all of the business plans had been evaluated by venture capitalists according to 10 dimensions: how strong is the idea, how strong is the team, how strong is the technology, etc. Then we gave an AI the same rubric that the venture capitalists received and asked the AI to rank or grade each one of these startups according to these 10 dimensions. Then we compared how similar the evaluations of the LLM were to the evaluations of the venture capitalists, and we showed that they are quite similar—there’s a correlation of 52%. This, again, tells us that there is potential here. An AI could do things that are quite similar to an experienced human evaluating this type of startup. A very interesting result there is that the correlation between two venture capitalists is lower than that 52%. So if you want to predict what a venture capitalist is going to say about your business, you’re better off asking an LLM than asking another venture capitalist. Ross Dawson: Yes, which perhaps shows the broad distribution of VC opinions. So obviously, LLMs can play valuable roles in many aspects of the strategy process, but this brings us back to the humans plus AI role. There are many—again, a big topic—but rather than looking at them, comparing what humans and AI did, where do you see the primary opportunities for humans and AI to collaborate in the strategy process? Felipe Csaszar: Yeah, yeah. So I think that’s a fascinating question, and my guess is that the study of the strategy process will completely change in the next 10 to 20 years. So far, all of the strategy process has been to study what happens when you have multiple people making strategy decisions. In the past, we studied things like devil’s advocate, or we have studied the role of changing the size of the group of people making decisions, or the consensus level required. But in the future, there will be AIs in this process that will have completely different bounds or capacities than humans. So we will need to learn what’s the best way of collaborating with them and including them into the strategic decision making process. Today, we don’t know much about it. We are beginning to learn things, like the study I mentioned—hey, in this task, it seems to be better—but there’s so much that we need to learn. I am working on some things, but it’s still early. Ross Dawson: Going back to the distributed representation—this is something where, of course, distributed representation can be in multiple people. Arguably, it can include human and AI agents as each having different representations. But this goes, of course, to the aggregation piece, where the aggregation is—you have a board of directors, group of executives, potentially a participative strategy process bringing more people into the organization. What are the specific roles of AI in assisting or facilitating effective aggregation to form a cohesive strategy? Felipe Csaszar: Yeah, so the truth is, we yet don’t know. There’s not enough research. We’re starting to think about it. We can see many uses, and I think what people should be doing now is running experiments to see when those add value and when they don’t. It will be different for different companies in different industries, so probably there’s no one solution that’s the same for everybody. For example, one possible use in strategic decision making is predicting what your competitors would do. If I do this, what would be the most likely reaction of my competitor? That’s one. Another one is predicting consumers: if I launch this product with this set of characteristics, what would be the most likely response of my consumers? In strategy, something that has been very popular for the last 20 years is something called the Blue Ocean Strategy, which is a method to come up with new offerings, with new value propositions, but that requires a lot of creativity. With AI, you can automate part of that. At the end of the day, it’s a search process. You have to think about what would happen if I add this, or if I add this other thing, or if I increase this. Part of that can be automated—that would be another use. Or if you have different proposals—in this other study, we show, hey, AI is good at evaluating, so if you have the right rubric, this can automate the evaluation, or can automate the first part of that evaluation so that you only have to spend your time among the really complicated, more sophisticated decisions or alternatives. There are many, many things that can be done at this point. Ross Dawson: Which goes to, I think, one of the interesting points in your work—representational complexity. Some strategies are arguably simple; other strategies, you can call them more sophisticated, but they are more complex. The representation of complexity is greater. There are two things that are required for that. One is, of course, sophisticated thinking, but also, because strategy in any organization involves multiple people, it requires that there is an ability for a number of people together to hold a hopefully similar or very similar representation of a quite complex topic. What are ways in which AI can be used to enhance that development of more sophisticated or nuanced or complex representations that can support a better strategy? Felipe Csaszar: So that’s a great point. I have a paper from before this new round of AI called exactly that—representation complexity. There has been a long-standing discussion in strategy of when you want to use a simple representation, whether it’s better to use a complex representation, or something in between. We tried to clarify when each one of these applies. But then came this new round of AI, and I think it changes things a lot. I talk a little bit about this in a chapter I uploaded recently—it’s called “Unbounding Rationality.” The key thing there is that humans—we have our own computer here, it’s the brain, and the brain has some constraints. One very important for strategy is the capacity of our working memory. There’s this famous paper from the 1950s called “The Magical Number Seven,” that we can hold in our working memory seven plus or minus two items—so between five and nine things we can keep at the same time in our mind. That’s why, for example, I think all strategy frameworks are very simple. There’s the five forces—fits within our working memory—or these typical two by twos, they have four quadrants—fits within our working memory. But AIs don’t have that bound. They are not constrained by the same working memory constraint that we have. So I would expect that future frameworks will be much more complex, that representational complexity will increase because of AI. Of course, frameworks of the future won’t have a million things, because when you put too many things, you’re overfitting—it works well with things that happened in the past, but not in the future—but they will probably have more than five things. Also, another reason for not having a million things inside a framework is that at the end of the day, you will still need to communicate frameworks. You will need to convince the other people in the organization, the ones that are implementing the strategy, that this is the right strategy. You will need to convince them, so you don’t want to have something that’s extremely complex. But my guess would be that the complexity of frameworks and of strategies will increase with AI. Ross Dawson: So looking forward—you talked about 10 or 20 years. If we see the current pace of capability development of LLMs on a similar trajectory, where do you see the remaining role of humans as a complement to AI in shaping strategy? I think you mentioned this possibility of essentially AI forming strategy, but I think for a wide array of reasons, it will be human plus AI—humans will play a role as final decision maker or other things. So where do you see those fundamental human capabilities still being retained for the foreseeable future, as a complement to AI in strategy? Felipe Csaszar: So I think that for the next 10, 20, maybe 30 years, humans will be really busy coming up with how to use AI—all of these experiments that we mentioned, people will be running all of those things in all different industries, and that takes a while. That will require human ingenuity and trying things and really understanding strategy and understanding the capabilities of AI. So I don’t see AI replacing human strategists in the very short term. On the contrary, because of AI, strategists will be more busy finding what are the best ways of using AI in their businesses. I think 10, 20, or 30 years is very reasonable. If you think about the previous technological revolution, which I could say was the Internet—the technology for the Internet, we could say, existed since around ’94. The World Wide Web is from ’94, browsers are from ’94, bandwidth enough to send email. Essentially all of the technology that supports internet business today was mostly in place in the mid to late ’90s. But the businesses, or people, ended up using all of those things 10 or 20 years after that, because it takes a long time for people, for strategists, to come up with the idea—for someone to come up with the idea of, let’s say, Netflix or eBay or PayPal or Facebook—all of those things, they take time for people to understand this is doable. Then it takes time to implement. Then it takes time for users to say, “Hey, this is useful.” There’s a lot of adaptation, and then there will be regulation. So the whole process takes a long time. I don’t think that businesses will change from one day to the next. It will be a relatively slow process that will take decades. When we look back in 20 years from now, we will see, “Hey, everything changed,” but every year we will see just a little bit of change, like what happened with the Internet. So I imagine that people designing strategies, implementing strategies, they will be very busy in the next 20 years. Ross Dawson: So to round out, I won’t ask you to make predictions, but maybe some hypotheses. What do you think are some interesting hypotheses that will inform your research—not just next year, but in the years beyond? Where do you think are the interesting avenues that we should be not just exploring and researching, but where there is a valid and useful hypothesis? Felipe Csaszar: Yeah, so many things, but one very important—I think that strategy will be more about making the right predictions. The role of foresight. It turns out that when you want to train a machine learning algorithm, you need to have some signal that informs how you train the system. It’s called the gradient, or the objective function. So in strategy, we will need to make that more central, and then think, what are the best ways in which you can use AI to make the right predictions? That requires measuring the quality of predictions. So you change this in the business, and this ends up happening. We want an AI to be able to do that. So coming up with ways in which you can measure the quality of decisions will become more important, so that we can train those AIs. That’s one. And very related to that is, well, the thing that’s generating the predictions are representations, and then it’s coming up with those more complex representations that are better at making decisions or are better at discovering things that are hard for humans to discover. Those are the two main things. I think the future of strategy will be about finding ways of improving foresight and finding ways of improving the thing that creates that foresight, which are the representations. All of that will change what has been called the strategy process—how we make decisions in strategy. Ross Dawson: So I just need to pick up on that point around prediction. One of the challenges with external predictions is that, then, as a strategist, you have to say, either I will build my strategy based on that prediction, or I question that prediction. I think there are alternatives or attribute probabilities to it. So even if a prediction machine gets better, it’s still very challenging, particularly cognitively, in terms of accountability for the strategist to incorporate a prediction where you don’t necessarily have all of the logic behind the prediction as a machine learning model to incorporate. So how can a strategist incorporate what may be a relatively black box prediction into an effective strategy? Felipe Csaszar: Yeah, well, and here we are in the conjecture part of this interview. So my answer is in that spirit. I think there are two ways out of this. One is that we will ask for explainable predictions. There’s a whole area of AI called Explainable AI, which is exactly trying to do this—not just say what’s the best prediction, but why the AI is saying that’s the right prediction. So that could develop, and probably that will develop, because humans will question whatever the AI will predict. That’s one way. The other is, imagine that the AI becomes very, very, very good at making predictions. Then at some point, it doesn’t matter if it can explain it or not—it’s just making very good predictions. It’s like, imagine you want to win at chess and you have this machine that can play chess very well. This machine wins at chess. You don’t need to exactly understand how that machine is making each one of those decisions. But if the machine is very good at it, and it’s consistently good at it, people will use it. In a sense, the market will decide. If this works better than a machine that provides an explanation for each one of the steps, people will just go with the one that’s making the right prediction. Ross Dawson: I think there’s all sorts of other places we can go to from there, but that’s fascinating. So where can people go to find out more about your work? Felipe Csaszar: Well, I upload all of my stuff to SSRN. So if you Google my name and SSRN, you will find all of my papers. In the near future, like in the next three months or so, I’ll have two things coming out. One is a Handbook of AI, written also with my co-editor Nan Jia from USC, that will have 20 chapters that will explore different ways in which AI will be affecting strategies—the Handbook of AI and Strategy, published by Elgar. And then around that same time, there will be a special issue of the Strategy Science journal where I’m one of the co-editors, which will be exactly about the same—about AI and strategic decision making. We already have accepted several of the papers for that special issue. Those papers will be pushing the frontier of what we know about AI and strategic decision making. Ross Dawson: That’s fantastic. I will certainly be following your work—very highly aligned with the humans plus AI movement. And thank you for all of the wonderful research and work you’re doing. Felipe Csaszar: Thank you so much, Ross. It’s been a pleasure. The post Felipe Csaszar on AI in strategy, AI evaluations of startups, improving foresight, and distributed representations of strategy (AC Ep32) appeared first on Humans + AI.

Karl and Erum break down how biology is transforming the production of everything from cosmetics to construction materials. They explore why the petrochemical era is giving way to biological manufacturing, examining both the spectacular failures of early biofuels and the emerging success stories of companies like K18 and Mango Materials. Karl and Erum explain the fundamentals of fermentation, precision fermentation, and cell-free manufacturing, while introducing concepts like distributed biomanufacturing and "dirty biology." Drawing on insights from previous guests including Doug Friedman, Michelle Stansfield, Veronica Breckenridge, and Phil Morle, they reveal why 95% of executives are now pursuing bio-solutions and how three converging forces—falling technology costs, rising consumer expectations, and new infrastructure—are making this the moment for biomanufacturing to finally deliver on its promise.Grow Everything brings the bioeconomy to life. Hosts Karl Schmieder and Erum Azeez Khan share stories and interview the leaders and influencers changing the world by growing everything. Biology is the oldest technology. And it can be engineered. What are we growing?Learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.messaginglab.com/groweverything⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Chapters:(00:00:00) - Why AI might just become our CEO (plus haircuts, Pilates, and gene therapy for hearing loss)(00:02:05) - Eli Lilly's $1B gene therapy deal for hearing loss(00:05:00) - Long Now podcast recommendation and NASA astrobiologist Lynn Rothschild(00:07:00) - Discussion of Apple TV's Scion and Drops of God(00:11:00) - What is biomanufacturing and why does it matter?(00:13:00) - The history of petrochemicals as "green technology"(00:16:00) - The opportunity: removing gigatons of carbon and unlocking trillion-dollar markets(00:19:00) - Types of biomanufacturing: fermentation, precision fermentation, and continuous fermentation(00:22:00) - Cell-free manufacturing and plant cell bioreactors(00:26:00) - Growing products with mycelium and dirty biology approaches(00:29:00) - Why biomanufacturing has been hard: the valley of death(00:30:00) - The biofuels bust and lessons from 60 failed companies(00:34:00) - Infrastructure challenges and the capacity gap(00:36:00) - New solutions: performance over sustainability and the K18 example(00:40:00) - Orchestration beats invention: connecting the entire value chain(00:43:00) - Distributed biomanufacturing and making products from waste(00:48:00) - The bio-better reality: what consumers and CPG companies need(00:51:00) - Three forces converging to make biomanufacturing work now(00:53:00) - Quickfire questions: luxury vs. commodities, funding, and AI's roleLinks and Resources:Links and Resources DOCTopics Covered: biomanufacturing 101, industrial biotechnology, precision fermentation, continuous fermentation, cell-free biomanufacturing, distributed biomanufacturing, dirty biology, bio-based materials, performance vs sustainability, CPG reformulationHave a question or comment? Message us here:Text or Call (804) 505-5553⁠Instagram⁠  / ⁠Twitter⁠ / ⁠LinkedIn⁠ / ⁠Youtube⁠ / ⁠Grow Everything⁠Music by: Nihilore Production by:  Amplafy Media

At ITEXPO / MSP EXPO, Doug Green, Publisher of Technology Reseller News, spoke with Tejas Patel, Software Engineer at Amazon, for a technical deep dive into how one of the world's largest platforms manages scale, reliability, and the growing role of AI in operations. Amazon operates in an environment defined by extreme traffic variability—from daily fluctuations to massive surges during Prime events. Patel explained that the company relies on distributed systems and microservices architecture to scale every layer of the stack, including databases, caching layers, and application servers. “We scale everything at a massive scale,” he noted, adding that AI-driven traffic prediction models help prepare systems for anticipated spikes, ensuring elasticity and resilience under pressure. Even with rigorous lower-environment testing and simulated traffic, real-world production environments introduce unpredictable behaviors. When outages or functional errors occur, the first priority is customer impact mitigation. “The short-term goal is to make our functionalities available for customers as soon as possible,” Patel said. After stabilizing services, engineering teams conduct root cause analysis and implement long-term fixes to prevent recurrence. On-call teams remain a core part of this model, though that may evolve. AI is increasingly part of that evolution. Patel described how AI systems can detect latency drops, identify anomalies, trigger workflows, and begin root cause investigations—sometimes before engineers are alerted. While still in a supervised phase, AI is gradually moving from passive support to more autonomous operational roles. “AI has a lot of protocols built where it can talk to all the systems,” he explained, envisioning a future where AI mitigates issues proactively while engineers oversee the broader architecture. For MSPs and channel professionals looking to understand large-scale technology environments, Patel emphasized the foundational importance of distributed systems. “Distributed system is everywhere,” he said. “It's the backbone of a large-scale product.” As AI models and inference platforms continue to expand globally, scalable distributed infrastructure will remain essential to delivering reliable, uninterrupted user experiences. Visit https://www.amazon.com/

Send a text0:10 - Agenda Rundown1:05 - WNBA CBA Negotiations22:33 - Everybody has an MBA when it comes to the WNBA25:07 - Demon of the Week28:50 - Bill Fennelly defends the Big 1234:35 - Potential Upsets in the Coming Week42:40 - Ranked Matchups Picks44:39 - South Carolina v LSU, Game of the Week preview52:09 - Duke holds on against Louisville1:01:30 - ACC Awards1:25:33 - Big Ten Awards1:42:10 - Unrivaled 1 v 1 Tournament: Round 1 Recap 1:44:15 - Unrivaled 1 v 1 Tournament: Round 2 Picks1:49:10 - Georgia Southern on top of the Sun Belt, Athletes Unlimited Recaps and the banter inbetween.https://linktr.ee/pullup3 | Distributed via SteadyHype Studios

Desiree Grace is the Vice-President of Sales and Customer Care for the Americas for Mersen, and Andrea Olson is an Author and Customer-Centricity Expert.

In this episode of The Future of Work® Podcast, Frank Cottle sits down with Tony Jamous, founder and Executive Chairman of Oyster, a B Corp-certified global employment platform. With a visionary take on the post-pandemic workplace, Tony explores how distributed workforces, AI, and conscious leadership are transforming not just how we work—but why we work. From removing geographic hiring constraints to rethinking the very purpose of companies, this conversation unveils the profound economic, environmental, and human impact of global employment models. Whether you're a startup leader, HR exec, or policy maker, this episode offers future-forward insights on capital, workforce access, and business sustainability. 

Filmmaker and director Silas Howard reads a story about caring for his mother in the years before her death. Dr. Fayron Epps speaks about her research in caregiving,  and about caregivers who struggle with complicated and often painful family memories. Songwriter and performer Dorian Wood speaks about rejecting  “chrono-normativity,” and shares a song called “Winooski (Time-Shifting Waltz).”Chapters00:05:31Silas Howard reads a piece about his mother's struggle with addiction and dementia00:21:12Dr. Epps speaks about her work in the faith community and with the families struggling with the challenges of caring for people experiencing dementia00:30:05Dorian Wood talks about her work and practiceSongWriterPodcast.comInstagram.com/SongWriterPodcastFacebook.com/SongWriterPodcastTikTok.com/@SongWriterPodcastYouTube.com/@SongwriterPodcastSongWriter is a music and songwriting podcast that turns stories into songs. Host Ben Arthur invites writers, poets, and musicians to share a story or poem, then pairs it with an original song written in response. Along the way, the show explores the creative process through intimate conversations and performances. Guests have included Questlove, Susan Orlean, David Gilmour, David Sedaris, George Saunders, and many more. Distributed by PRX, SongWriter also appears on the syndicated radio program Acoustic Café and in Paste Magazine. Learn more at SongWriterPodcast.com. Season seven is made possible by a grant from Templeton World Charity Foundation

Strength in Systems: Setting Up America's Next 250 YearsEconomists predicted collapse. Tariffs, protectionism, pandemic shocks - the global economy should have broken. It didn't. What we're witnessing isn't fragmentation. It's rebalancing. Nodes within the system - countries, industries - are reasserting their own interests after decades of subordination to global optimization. The network isn't breaking. It's healing. Look at the conflicts that haven't escalated. Those that have resolved. Russia-Ukraine contained. No move on Taiwan. Venezuela intervention precise, limited, wildly successful. The Middle East hasn't exploded into a broader war. Economic and strategic geopolitical ecosystems are exerting stabilizing pressure that few expected possible. Trade flourishes despite biased rhetoric. This is emergent peacekeeping – thoughtful, strategic interconnection that raises the cost of conflict beyond what actors will pay.Season 7 launches as America marks its 250th anniversary. The question: can we design ecosystems robust enough to deliver peace through strength, resilient enough to withstand disruption, and valuable enough to maintain cohesion? Six seasons and 118 episodes revealed the pattern: the future belongsto orchestrated ecosystems, not heroic platforms. Season 7 asks the questions that define the next 250 years.Paradigm Shifts:

In a quiet Rhode Island community, a private dispute inside a family apartment escalated into a devastating act of violence, leaving multiple people dead and one young woman fleeing for help. What unfolded behind closed doors shocked the community and left lasting scars on those left behind. This is the tragic case of Kimberly Pieranunzi and Donald Roderick Jr.You can listen to our NEW episode on Spotify, Apple Podcasts, and all other streaming platforms.—En una tranquila comunidad de Rhode Island, una disputa privada dentro de un apartamento familiar escaló hasta convertirse en un acto devastador de violencia, dejando a varias personas sin vida y a una joven huyendo desesperadamente en busca de ayuda. Lo ocurrido a puertas cerradas conmocionó a la comunidad y dejó cicatrices profundas en quienes quedaron atrás. Este es el trágico caso de Kimberly Pieranunzi y Donald Roderick Jr.Puede escuchar nuestro NUEVO episodio en Spotify, Apple Podcasts y todas las demás plataformas de transmisión.—If you feel inclined to donate toward Kimberly and Donald's funeral expenses and to support Jazmyn during this time of need, their family and friends would greatly appreciate it.GoFundMe: https://www.gofundme.com/f/aid-for-kims-daughter-in-her-time-of-need?lang=en_USGoFundMe: https://www.gofundme.com/f/in-memory-of-kimberly-and-donald-support-jazmyn—-If you or someone you know is experiencing domestic or dating violence, you're not alone — and support is available. The following resources are confidential, free, and here to help.National Domestic Violence Hotline (U.S.) — 24/7 confidential help via call, chat, or text for anyone experiencing abuse.Call: 1-800-799-SAFE (7233)Chat: TheHotline.orgNational Teen Dating Abuse Helpline — specifically for teens (ages ~13–18) experiencing unhealthy or abusive relationships:Call or Text:1-866-331-9474 and live chat/texting available.Love Is Respect — offers education, support, and 24/7 live chat/text for teens about healthy relationships and dating abuse.Web: https://www.loveisrespect.org/Call: 1.866.331.9474.Crisis Text Line - for 24/7 confidential support via text message.Text HELLO to 741741Teen Line — Peer listening for teens by teens (U.S.):Call 1-800-852-8336Text TEEN to 839863 (during evening hours)New Jersey Domestic Violence Hotline - provides confidential access to domestic violence information and services, including crisis intervention, referral, and advocacy.Call: 1-800-572-SAFE (7233) - 24 hours a day/7 days a week —- Link + Sources: People: https://people.com/mom-boyfriend-fatally-shot-after-mother-daughter-demanded-sex-gunpoint-11851029The Valley Breeze: https://www.valleybreeze.com/news/coalition-woonsocket-tragedy-underscores-importance-of-domestic-violence-awareness/article_6cd44330-cbca-443c-b836-d517bb23d143.htmlNBC 10 WJAT News: https://turnto10.com/news/local/woonsocket-police-identify-3-killed-in-shooting-night-apartment-victims-dead-relationship-firearm-flee-shot-stolen-gun-november-4-2025NBC 10 WJAR News: https://turnto10.com/news/local/friend-reflects-on-woonsocket-woman-killed-in-double-murder-suicide-november-4-2025NBC 10 WJAR News: https://turnto10.com/news/local/shots-fired-woonsocket-neighborhood-residential-area-homes-rathbun-street-police-officers-street-blocked-weapons-november-3-2025NBC 10; https://youtu.be/mRYiwPRpUs8?si=o6alHNilbqIhc5-TNBC 10 WJAR: https://youtu.be/WnQGwa4ngoA?si=IXlqqKUv0uLIYFBLNBC 10 WJAR: https://youtu.be/0e0uz7Njd8U?si=cPyEQoP1cOyIFaiMNBC 10 WJAR: https://turnto10.com/news/local/woonsocket-police-identify-3-killed-in-shooting-night-apartment-victims-dead-relationship-firearm-flee-shot-stolen-gun-november-4-2025Boston Globe: https://www.bostonglobe.com/2025/11/04/metro/woonsocket-fatal-shooting/ABC 6 News: https://www.abc6.com/woonsocket-police-identify-3-people-killed-in-shooting/— Distributed by Genuina Media — Buy Us A Coffee: https://buymeacoffee.com/svsm_podcast — Follow Us:Instagram: https://www.instagram.com/SVSM_PodcastThreads: https://www.threads.net/@svsm_podcastTwitter/ X: https://www.twitter.com/SVSM_PodcastBlueSky: https://bsky.app/profile/svsmpodcast.bsky.socialFacebook: https://www.facebook.com/SoViolentoSoMacabroPodcastTikTok: https://www.tiktok.com/@svsm_podcastYouTube: https://www.youtube.com/@svsm_podcast Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send us a text0:13 - Agenda0:41 - Happy Birthday JayTrent!4:20 - Game of the Week: UCLA beats Iowa, bad.9:10 - Iowa as the separator for good or bad teams12:00 - Oklahoma vs Vandy preview.15:36 - Potential upsets this week22:10 - Is UNC fake good? 25:05 - Hannah Hidalgo's Legacy & Notre Dame's woes45:00 - Madison Booker praise45:40 - SEC Award Predictions1:05:50 - Big 12 Award Predictions1:23:17 - Unrivaled 1 v 1 Tournament & Winner Predictions1:43:40 - Athletes Unlimited Beginshttps://linktr.ee/pullup3 | Distributed via SteadyHype Studios

Send us a textEpisode 4 starts with our picks for National Awards including NPOY, NFOY, DPOY & COY. We discuss in detail South Carolina's win over Vanderbilt then hop around the country checking in on which teams are doing well (aka our Demon of the week) and which teams we gonna keep in our prayers. 2:25 - National Play of the Year3:35 - National Freshman of the Year + other freshman showing out21:53 - Defensive Player of the Year32:24 - Which do you value more: On ball pressure vs rim protection39:37 - Coach of the Year42:15 - All Americans (Top 15)46:46 - Game of the Week: South Carolina beats Vanderbilt, bad. 1:14:10 - Demon of the Week1:17:45 - Looking for our next Demon1:25:08 - Next Game of the Week1:26:09 - Which Top 6 Team misses the Final Four?1:39:55 - Audi Crooks praise1:43:05 - BG isn't jealous but she is weird to Aliyah1:48:20 - Shoutout to Georgia Southern & Ohio Statehttps://linktr.ee/pullup3 | Distributed via SteadyHype Studios

Many organizations say they want to invest in people, but their hiring and talent practices often tell a very different story.Degree requirements, limited benefits packages, and poor management practices continue to limit who gets access to opportunity and how teams perform. And the cost shows up everywhere: higher turnover, slower productivity, and missed potential.Fortunately, this week's guest brings clear data and practical strategies that show how companies can do better for both people and performance.Dr. Angela Jackson is a Workplace Futurist and ESG expert, founder of Future Forward Strategies, and a lecturer at Harvard Graduate School of Education. She works with entrepreneurs, F100s, and policymakers on the future of work. Dr. Angela holds a doctorate from Harvard University and serves on several boards, including Needham Bancorp. Her book, The Win-Win Workplace, became a New York Times, USA Today, and Los Angeles Times Best SellerIf you want to build stronger teams, reduce turnover, and boost performance inside your organization, this episode offers a practical roadmap.Get FREE mini-episode guides with the week's episode's big idea delivered to your inbox when you subscribe to my weekly email.Join the conversation now!Conversation Topics(00:00) Why “being your best self at work” is a business imperative(02:52) What is a “zero-sum workplace”?(06:05) What happens when workplaces invest in people(06:57) The 9 pillars of a Win-Win Workplace (overview)(12:26) What managers can do (even without company-wide power)(19:03) Distributed leadership and the Ownership mindset(26:57) A great manager story(29:30) How to connect with Angela(30:45) [Extended Interview] Building a deep talent bench(32:30) [Extended Interview] Hiring for skills, not credentials(36:18) [Extended Interview] How to design a skills-based interview

Transmission is getting a glow up and we want to hear from you what we can improve. Help us by filling in this short survey. https://form.typeform.com/to/kCdj85iK?typeform-source=www.linkedin.comCan energy-only market design deliver both reliability and affordability as electricity grids face unprecedented transformation?In this episode, Alex speaks with Keith Collins, Vice President of Commercial Operations at ERCOT, about managing the unprecedented challenges facing Texas's electricity grid. As data centers and AI facilities flood into the state, ERCOT must balance explosive demand growth with affordability and reliability all within an energy-only market structure that's unique among major US grid operators.Chapters:00:00 ERCOT's role in Texas grid management01:09 Electricity market design and efficiency02:28 Winter Storm Uri and resource adequacy04:40 Texas data center boom explained06:39 Energy-only markets and price signals08:18 Grid resource adequacy challenges12:28 Dispatchable reliability reserve service ECRS18:45 Real-time energy and ancillary services22:15 765kV transmission expansion in Texas26:30 Residential demand response and virtual power plants31:45 Comparing ERCOT to other US markets36:27 Future grid technologies and storage growth40:05 Distributed battery systems and grid integration41:05 ERCOT market design frameworkYou can watch or listen to new episodes every Tuesday and Thursday.Transmission is a Modo Energy production. Your host is Ed Porter, our VP of Insights.Modo Energy helps the owners, operators, builders, and financiers of battery energy storage understand the market — and make the most out of their assets. Want all the latest power market news? Sign up for our free Weekly Dispatch newsletter: https://bit.ly/TheWeeklyDispatch

Transmission is getting a glow up and we want to hear from you what we can improve. Help us by filling in this short survey. https://form.typeform.com/to/kCdj85iK?typeform-source=www.linkedin.comCan energy-only market design deliver both reliability and affordability as electricity grids face unprecedented transformation?In this episode, Alex speaks with Keith Collins, Vice President of Commercial Operations at ERCOT, about managing the unprecedented challenges facing Texas's electricity grid. As data centers and AI facilities flood into the state, ERCOT must balance explosive demand growth with affordability and reliability all within an energy-only market structure that's unique among major US grid operators.Chapters:00:00 ERCOT's role in Texas grid management01:09 Electricity market design and efficiency02:28 Winter Storm Uri and resource adequacy04:40 Texas data center boom explained06:39 Energy-only markets and price signals08:18 Grid resource adequacy challenges12:28 Dispatchable reliability reserve service ECRS18:45 Real-time energy and ancillary services22:15 765kV transmission expansion in Texas26:30 Residential demand response and virtual power plants31:45 Comparing ERCOT to other US markets36:27 Future grid technologies and storage growth40:05 Distributed battery systems and grid integration41:05 ERCOT market design frameworkYou can watch or listen to new episodes every Tuesday and Thursday.Transmission is a Modo Energy production. Your host is Ed Porter, our VP of Insights.Modo Energy helps the owners, operators, builders, and financiers of battery energy storage understand the market — and make the most out of their assets. Want all the latest power market news? Sign up for our free Weekly Dispatch newsletter: https://bit.ly/TheWeeklyDispatch

Desiree Grace is the Vice-President of Sales and Customer Care for the Americas for Mersen, and Andrea Olson is an author and Customer-Centricity Expert. 

Maya Middlemiss is Founder of Remote Work Europe, a Remote Work Strategist, and author of 'Remote Readiness for Jobseekers'. With over two decades of remote work experience, Maya reflects on developing and scaling fully remote teams long before pandemic-related "forced remote" distorted perceptions of flexible work. She highlights the mindsets, autonomy, self-discipline, and trust required for sustainable remote models, along with practical hiring indicators for remote readiness. Maya describes collaboration infrastructure, leadership evolution, and how companies and workers can intentionally position themselves for the future of distributed work.   KEY TAKEAWAYS   [01:12] Maya works abroad before studying psychology to better understand herself and others.   [03:24] An offer to supply research via the internet launches Maya's early remote work.   [04:17] Early remote work requires experimental setups with basic technology at home.   [05:40] Maya hires independent, self-directed people suited to technical and remote autonomy.   [07:33] Entrepreneurship, novel writing, and marathon training clues signal remote readiness.   [11:17] Technologies enabling remote work are solved pre-pandemic while versioning issues remain.   [12:45] Distributed collaboration needs shared repositories and synchronous communication.   [13:42] Video meetings are now basic expectations using seamlessly integrated tools.   [15:46] COVID forces remote adoption without change management.   [16:40] Pandemic burnout experiences from surveillance management and excessive Zoom calls.   [17:44] Despite challenges, people recognise the long-term potential of working remotely.   [18:18] Pause and reflection causes workers to seek guidance to work remotely permanently.   [19:20] Lifestyle redesign becomes central as people relocate and reassess commuting.   [20:23] Return-to-office pressure generates panic for those who had restructured their lives.   [21:24] Remote Work Spain and Europe emerges to systematize advice for job seekers.   [23:15] Media narratives about productivity often mask commercial real estate interests.   [23:50] Personal preference strongly aligns with productivity in distributed settings.   [25:09] Remote work increases self-awareness about lifestyle and motivation.   [26:21] Decoupling work from location unlocks global life design possibilities.   [28:08] Geoarbitrage enables cost-of-living flexibility and portfolio career strategies.   [30:16] Distributed teams need intentional leadership to replace passive office-based osmosis.   [34:28] Remote work's five C's: Console, Culture, Communication, Connection, and Collaboration.   [35:42] Technical self-sufficiency and redundancy are essential remote competencies.   [37:45] Everyone needs to contribute with new broader spectrums of knowledge and expertise.   [38:41] New remote hires should actively observe onboarding to recognise cadence, styles etc.   [42:19] Managers can learn from new remote recruits' views to improve distributed systems.   [44:22] AI is embedded everywhere, requiring critical use and human differentiation.   [46:25] Job seekers must show AI literacy without communication sounding machine-generated.   [47:33] Authenticity and visible individuality help candidates stand out remotely.   [48:46] Cultural fit should add diversity and evolution rather than sameness.   [50:32] Remote work is harder to secure but delivers significant life rewards.   IMMEDIATE ACTION TIP: Remote work is different to previous traditional working norms making it harder to find a remote job or managing a distributed team. However, the rewards are significant and worth the additional effort.     RESOURCES   Maya Middlemiss on LinkedIn Remote Resilience Hub Remote Work Europe 'Remote Readiness for Jobseekers' Maya's new book QUOTES   "The people who've mastered that intentionality of leading distributed teams actually really celebrate what new people could bring."   "To figure out how to lead your team properly in a distributed way, you'll get so much more from them and you'll get so much more from your own life as a leader, as a manager."   "Remote work is here. It has been here for a long time."   "The sheer spectrum of knowledge and expertise is much broader and so everybody can't know everything…We are so much more atomised now. We need to try to be good synthesists and have a good overview."   "Try to find the best job for you in the whole world where you will have the greatest satisfaction and experience and productivity and flow. Of course, that's going to be harder, but just consider the rewards that that can bring and it's worth doing the work. "

Chris Kuehl and Keith Prather are Founders and Managing Partners for Armada Corporate Intelligence.

Distributed batteries are having a big moment. On one hand, companies like Base Power and Tesla have leaned into large residential batteries that export power back to the grid, but need permits and inspections to operate. At the same time, however, a new category has emerged: small, "plug-in" batteries that don't require an electrician or complex installation, let alone a permit.  In this episode, Shayle talks to James McGinniss, co-founder and CEO of David Energy (yes, the biblical reference is intentional). David Energy is deploying these nimble, permissionless systems today for both residential customers and small businesses, and James argues that this approach could usher in a new era of massive scale and affordability for distributed energy resources. Shayle and James cover topics like: Why James prefers the term "plug-in" over "permissionless," and what falls into this bucket, from balcony solar to battery-enabled appliances The murky regulatory landscape around micro-DERs How plug-in systems can effectively drive soft costs (permitting, labor, customer acquisition) down to nearly zero How high energy prices in Germany drove the adoption of 4 million plug-in systems in just a few years The appeal for small businesses: how shaving just a few kilowatts of peak demand can generate significant savings for commercial customers in markets like New York Future form factors, including batteries integrated directly into cooktops, heat pumps, and other household appliances  Resources Catalyst: How Base Power plans to use its fresh $1B Catalyst: The new wave of DERs Catalyst: Is now the time for DERs to scale? Latitude Media: Can VPPs unlock grid capacity for data centers?  Latitude Media: How do we turn small-scale, distributed energy into a multi-trillion dollar sector? Credits: Hosted by Shayle Kann. Produced and edited by Max Savage Levenson. Original music and engineering by Sean Marquand. Stephen Lacey is our executive editor. Catalyst is brought to you by Uplight. Uplight activates energy customers and their connected devices to generate, shift, and save energy—improving grid resilience and energy affordability while accelerating decarbonization. Learn how Uplight is helping utilities unlock flexible load at scale at uplight.com.  Catalyst is brought to you by Antenna Group, the public relations and strategic marketing agency of choice for climate, energy, and infrastructure leaders. If you're a startup, investor, or global corporation that's looking to tell your climate story, demonstrate your impact, or accelerate your growth, Antenna Group's team of industry insiders is ready to help. Learn more at antennagroup.com.

In the era of agentic AI, attention has largely focused on data itself, while metadata has remained a neglected concern. Junping (JP) Du, founder and CEO of Datastrato, argues that this must change as AI fundamentally alters how data and metadata are consumed, governed, and understood. To address this gap, Datastrato created Apache Gravitino, an open source, high-performance, geo-distributed, federated metadata lake designed to act as a neutral control plane for metadata and governance across multi-modal, multi-engine AI workloads. Gravitino achieved major milestones in 2025, including graduation as an Apache Top Level Project, a stable 1.1.0 release, and membership in the new Agentic AI Foundation. Du describes Gravitino as a “catalog of catalogs” that unifies metadata across engines like Spark, Trino, Ray, and PyTorch, eliminating silos and inconsistencies. Built to support both structured and unstructured data, Gravitino enables secure, consistent, and AI-friendly data access across clouds and regions, helping enterprises manage governance, access control, and scalability in increasingly complex AI environments.Learn more from The New Stack about how the latest data and metadata are consumed, governed, and understood: Is Agentic Metadata the Next Infrastructure Layer?Why AI Loves Object StorageThe Real Bottleneck in Enterprise AI Isn't the Model, It's ContextJoin our community of newsletter subscribers to stay on top of the news and at the top of your game.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

There's a significant disconnect playing out in organizations right now. Leaders understand AI is probably the most transformative technology of their lifetimes. They're making bold announcements and setting ambitious targets. Yet they're not providing the structures, ownership, or vision needed to drive real change. The result? Small pilots, incremental efficiency gains, and nowhere near the transformation everyone keeps talking about. The issue isn't the technology. Organizations simply aren't wired for transformative change, particularly when it cuts across departments and functions. Nobody owns it, and there's no clear model for what the future should look like. The implications for talent, skills, and how we think about work are enormous. What does it actually take to rewire an organization for the AI era? My guest this week is Stephen Wunker, co-author of "AI and the Octopus Organization". In our conversation, he shares what's really happening, what's holding companies back, and what this means for talent professionals. In the interview, we discuss: The gap between what CEOs are saying and what is actually happening What is holding AI transformation back Distributed innovation What is an “Octopus Organization”? The role of human judgement and the need for more critical thinking Examples of companies that are succeeding Talent and culture What will happen to the adoption rate? Where will we be in two years' time? Follow this podcast on Apple Podcasts. Follow this podcast on Spotify. A full transcript will appear here shortly.

Brian Rooney is the Principal at Callas-Kingsley Electrical Sales and a tED magazine 30 Under 35 award winner.

What does faithful leadership in theological education look like amid cultural change, secularization, and global realignment? In this insightful conversation, Marvin Oxenham offers a grounded and hopeful perspective on the state of theological education in Europe. Drawing from his leadership with the European Council for Theological Education and his work across multiple global networks, Marvin challenges narratives of decline and highlights growth, innovation, and renewed opportunity for the church and academy across Europe.

Send us a textEpisode 3 starts with WNBA schedule release despite the CBA being incomplete. We switch gears to women's college basketball and end the episode creating a tier list0:42 - The WNBA released the schedule with NO CBA8:40 - Every WNBA Team's Schedule Release 54:19 - Game of the Week: Ohio State v TCU for Corretta Scott King Classic1:03:17 - NC State pissed Jemay off BAD1:12:28 - Demon of the Week1:20:28 - We defended Ole Miss then… 1:21:58 - UCLA breezes through Big Ten play and other non-SEC teams1:28:11 - Iowa State finally wins a game1:30:25 - we don't need to see lowlights to bond1:31:41 - WCBB Team Tiershttps://linktr.ee/pullup3 | Distributed via SteadyHype Studios

Bahamian playwright and teacher Patrice Francis performs a dramatic piece about recovering from Hurricane Dorian, live at the Fuze Art Fair at Bahamar. Patrice wrote the piece based on the research of Dr. Stephanie Hutcheson, who describes what she learned about post-traumatic growth. Songwriter Selah Moonie talks about holding on to her inspiration and artistry in an economic environment that prizes cover songs, and plays a brand new song with her band.SongWriterPodcast.comInstagram.com/SongWriterPodcastFacebook.com/SongWriterPodcastTikTok.com/@SongWriterPodcastYouTube.com/@SongwriterPodcastSongWriter is a music and songwriting podcast that turns stories into songs. Host Ben Arthur invites writers, poets, and musicians to share a story or poem, then pairs it with an original song written in response. Along the way, the show explores the creative process through intimate conversations and performances. Guests have included Questlove, Susan Orlean, David Gilmour, David Sedaris, George Saunders, and many more. Distributed by PRX, SongWriter also appears on the syndicated radio program Acoustic Café and in Paste Magazine. Learn more at SongWriterPodcast.com. Season seven is made possible by a grant from Templeton World Charity Foundation

Episode 5085: 26 Billion In DEI Payments Still Being Distributed By SBA; How Republicans Need To Approach Jack Smith

Welcome back to Snafu with Robin P. Zander. In this episode, I'm doing something a little different: I step into the guest seat for a conversation with one of my good friends, Andrew Bartlow, recorded for the People Leader Accelerator podcast alongside Jessica Yuen. We dive into storytelling, identity, and leadership — exploring how personal experiences shape professional influence. The conversation begins with a reflection on family and culture, from the Moroccan textiles behind me, made by my mother, to the influence of my father's environmental consulting work. These threads of personal history frame my lifelong fascination with storytelling, persuasion, and coalition-building. Andrew and Jessica guide the discussion through how storytelling intersects with professional growth. We cover how early experiences — like watching Lawrence of Arabia at a birthday sleepover — sparked curiosity about adventure, influence, and human connection, and how these interests evolved into a career focused on organizational storytelling and leadership. We explore practical frameworks, including my four-part story model (Setup → Change → Turning → Resolution) and the power of "twists" to create momentum and memorability. The episode also touches on authentic messaging, the role of vulnerability in leadership, and why practicing storytelling in everyday life—outside high-stakes moments—builds confidence and executive presence over time. Listeners will hear lessons from a lifetime of diverse experiences: running a café in the Mission District, collaborating with BJ Fogg on behavioral change, building Zander Media, and applying storytelling to align teams and organizations. We also discuss how authenticity and personal perspective remain a competitive advantage in an age of AI-generated content. If you're curious about how storytelling, practice, and presence intersect with leadership, persuasion, and influence, this episode is for you. And for more insights on human connection, organizational alignment, and the future of work, check out Snafu, my weekly newsletter on sales, persuasion, and storytelling here, and Responsive Conference, where we explore leadership, work, and organizational design here. Start (0:00) Storytelling & Identity Robin introduces Moroccan textiles behind him Made by his mother, longtime practicing artist Connects to Moroccan fiancée → double meaning of personal and cultural Reflection on family influence Father: environmental consulting firm Mother: artist Robin sees himself between their careers Early Fascination with Storytelling Childhood obsession with Morocco and Lawrence of Arabia Watched 4-hour movie at age 6–7 Fascinated by adventure, camels, storytelling, persuasion Early exposure shaped appreciation for coalition-building and influence Identity & Names Jess shares preference for "Jess" → casual familiarity Robin shares professional identity as "Xander" Highlights fluidity between personal and professional selves Childhood Experiences & Social Context Watching Lawrence of Arabia at birthday sleepover Friends uninterested → early social friction Andrew parallels with daughters and screen preferences Childhood experiences influence perception and engagement Professional Background & Storytelling Application Robin's long involvement with PeopleTech and People Leader Accelerator Created PLA website, branding, documented events Mixed pursuits: dance, media, café entrepreneurship Demonstrates applying skills across domains Collaboration with BJ Fogg → behavioral change expertise Storytelling as Connection and Alignment Robin: Storytelling pulls from personal domains and makes it relevant to others Purpose: foster connection → move together in same direction Executive relevance: coalition building, generating momentum, making the case for alignment Andrew: HR focus on connection, relationships, alignment, clarity Helps organizations move faster, "grease the wheels" for collaboration Robin's Credibility and Experience in Storytelling Key principle: practice storytelling more than listening Full-time entrepreneur for 15 years First business at age 5: selling pumpkins Organized neighborhood kids in scarecrow costumes to help sell Earned $500 → early lessons in coalition building and persuasion Gymnastics and acrobatics: love of movement → performance, discipline Café entrepreneurship: Robin's Cafe in Mission District, SF Started with 3 weeks' notice to feed conference attendees Housed within a dance studio → intersection of dance and behavioral change First experience managing full-time employees Learned the importance of storytelling for community building and growth Realized post-sale missed opportunity: storytelling could have amplified success Transition to Professional Storytelling (Zander Media) Lessons from cafe → focus on storytelling, messaging, content creation Founded Zander Media (2018) Distributed small team, specializes in narrative strategy and video production Works with venture-backed companies and HR teams to tell stories internally and externally Provides reps and depth in organizational storytelling Why Storytelling Matters for Organizations Connects people, fosters alignment Enables faster movement toward shared goals Storytelling as a "powerful form of connection" What Makes a Good Story Robin: frameworks exist, but ultimately humans want: Education, entertainment, attention Sustained attention (avoid drift to TikTok, distractions) Framework examples: Hero's Journey (Joseph Campbell) → 17 steps Dan Harmon's 8-part structure → simplified version of Hero's Journey Robin's preferred model: 4-part story structure (details/examples forthcoming) The Power of the Twist, and Organizational Storytelling Robin's Four-Part Story Model Core idea: stories work best when they follow a simple arc Setup → Change → Turning (twist/reveal) → Resolution Goal: not rigid frameworks, but momentum, surprise, payoff The "Turning" (Twist) as the Sticky Moment Pixar example via Steve Jobs and the iPod Nano Setup: Apple's dominance, market context, long build-up Choice point: Option A: just reveal the product Option B (chosen): pause + curiosity Turning: the "tiny jeans pocket" question Reveal: iPod Nano pulled from the pocket Effect: entertainment, disruption, memorability Key insight: The twist creates pause, delight, and attention This moment often determines whether a story is remembered Why Flat Stories Fail Example (uninspiring): "I ran a cafe → wanted more marketing → now I run Xander Media" Improved arc with turning: Ran a cafe → wanted to do more marketing → sold it on Craigslist → built Xander Media Lesson: A reveal or risk creates narrative energy The Four Parts in Practice Setup The world as it is (Bilbo in the Shire) Change Something disrupts the norm (Gandalf arrives) Turning Twist, reveal, or surprise (the One Ring) Resolution Payoff and return (Bilbo back to the Shire) How to Use This as a Leader Don't force stories into frameworks Look at stories you already tell Identify where a disruption, surprise, or reveal could live Coalition-building lens Stories should move people into shared momentum Excitement → flow → aligned action Storytelling Mediums for HR & Organizations Employer brand ≠ separate from company brand Should be co-owned by HR and marketing Brand clarity attracts the right people, repels the wrong ones Strong brands are defined by: Who they are Who they are not Who they're for and not for HR vs Marketing: The Nuance Collaboration works only if: HR leads on audience and truth Marketing supports execution, not control Risk: Marketing optimizes for customers, not employees HR understands attraction, retention, culture fit Storytelling at the Individual Level No one is "naturally" good or bad at storytelling It's reps, not talent Practical advice: Know your ~15 core stories (career, company, turning points) Practice pauses like a comedian Notice when people lean in Opinionated Messaging = Effective Messaging Internal storytelling should: Be clear and opinionated Repel as much as it attracts Avoid: Corporate vanilla Saying a lot without saying anything Truth + Aspirational Truth Marketing and storytelling are a mix of: What is actually true What the organization is becoming Being "30% more honest" builds trust Including flaws and tradeoffs Example: budget brands, Southwest, Apple's office-first culture Why This Works Opinions create personality Personality creates stickiness Stickiness creates memory, alignment, and momentum Authenticity as the last real advantage We're flooded with AI-generated content (video, writing, everything) Humans are extremely good at sensing what feels fake Inauthenticity is easier to spot than ever One of the few remaining advantages: Be true to the real story of the person or organization Not polished truth — actual truth What makes content feel "AI-ish" AI can generate volume fast Books, posts, stories in minutes What it can't replicate: Personal specificity Why a story matters to you What an experience felt like from the inside Lived moments Running a café Growing into leadership What lasts: Personal story lesson learned relevance to this reader relevance to this relationship What content will win long-term Vulnerability Not oversharing, but real experience Personal perspective Why this matters to me Relevance Why it should matter to you Outcome Entertainment Insight Shared direction The risk of vulnerability (it can backfire) Being personal doesn't guarantee buy-in Example: inspirational talk → employee openly disagrees Emotional deflation Self-doubt Early leadership lesson: You can do your best People will still push back Leadership at higher levels gets harder, not easier Bigger teams → higher stakes Better pay Benefits Real expectations First "real" leadership pain points: Bad hires Mismatched expectations Disgruntled exits Realization: Conflict isn't failure It's a sign you've leveled up "Mountains beyond mountains" Every new level comes with new challenges Entrepreneurship Executive leadership Organizational scale Reframe setbacks: Not proof you're failing Proof you're progressing Authenticity at the executive table Especially hard for HR leaders Often younger Often earlier in career Often underrepresented Anxiety is normal The table doesn't feel welcoming Strategy: Name it "This is new for me" "I'm still finding my voice" Own it Ask for feedback Speak anyway Authenticity ≠ no consequences Being honest can carry risk Not every organization wants change Hard truth: You can't change people who don't want to change Sometimes the right move is leaving Guiding advice: Find people who already want what you offer Help them move faster Vulnerability as a competitive advantage Almost any perceived weakness can be reframed New Nervous Different When named clearly: It builds trust It creates permission It signals confidence Getting better at storytelling (practical) It's not talent — it's reps Shyness → confidence through practice Start small Don't test stories when stakes are highest Practice specifics Your core stories Your pitch Energy matters Enthusiasm is underrated Tempo matters Pauses Slowing down Letting moments land Executive presence is built Incrementally Intentionally Practice, Progress, and Learning That Actually Sticks Measure growth against yourself, not "the best" The real comparison isn't to others It's who you were yesterday MrBeast idea: If you're not a little uncomfortable looking at your past work You're probably not improving fast enough Important distinction: Discomfort ≠ shame Shame isn't a useful motivator Progress shows up in hindsight Looking back at past work "I'd write that differently now" Not embarrassment — evidence of growth Example: Weekly newsletter Over time, clearer thinking Better writing Stronger perspective Executive presence is a practice, not a trait Storytelling Selling Persuasion Presence Core question: Are you deliberately practicing? Or just repeating the same behaviors? Practice doesn't have to happen at work Low-stakes environments count Family Friends Everyday conversations Example: Practicing a new language with a dog Safe Repetitive No pressure Life skills = leadership skills One of the hardest lessons: Stop trying to get people to do what they don't want to do Daily practice ground: Family dynamics Respecting boundaries Accepting reality These skills transfer directly to work Influence Communication Leadership Why practice outside of high-stakes moments When pressure is high You default to habits Practicing in everyday life: Builds muscle memory Makes high-stakes moments feel familiar How to learn (without overengineering it) Follow curiosity Pick a thread A name A book An idea Pull on it See where it leads Let it branch Learning isn't linear It's exploratory Learning through unexpected sources Example: Reading a biography Leads to understanding an era Context creates insight The subject matters less than: Genuine interest Sustained attention Career acceleration (simple, not flashy) Always keep learning Find what pulls you in Go deeper Press the gas Where to find Robin Ongoing work lives in: Snafu (weekly newsletter on sales, persuasion, and storytelling) https://joinsnafu.com  Responsive Conference (future of work, leadership, and org design) https://responsiveconference.com   

Tate Hunton is a Learning and Development Specialist at Border States and Carley Camp is a Branch Manager at Elliott Electric Supply. 

Workforce readiness, hands-on learning, and flexible credentialing are no longer peripheral conversations in higher education. They are central to how institutions are being judged on value, relevance, and outcomes. In this episode of Changing Higher Ed podcast, Dr. Drumm McNaughton speaks with Jarred McNeely, Provost and Chief Academic Officer at Sonoran Desert Institute, about how applied, skills-based education can be delivered beyond traditional campuses without sacrificing rigor or quality. McNeely shares how SDI redesigned hands-on instruction for distributed learners by moving labs into students' homes, rethinking assessment around demonstrated competence, and investing heavily in faculty training and support. The conversation explores what these approaches mean not just for trade and technical programs, but for institutions across higher education facing increasing pressure around cost, completion, and workforce alignment. This episode is especially relevant for presidents, provosts, and academic leaders evaluating how applied learning, credential flexibility, and faculty systems can evolve to meet today's student realities. Topics Covered Why hands-on learning does not require centralized labs How lab kits, video-based assessment, and staged progression support skill development What it takes to train and support faculty in distributed, applied programs How simulation and practicum models expand access without lowering standards Why stackable credentials better align with real career movement The role of critical thinking and problem identification in applied education Three Key Takeaways for Presidents and Boards Learning should be assessed by demonstrated competence, not physical presence Faculty training and support systems are the primary drivers of instructional quality Flexible, stackable credentials reduce student risk while supporting long-term engagement Read the transcript or extended show summary: https://changinghighered.com/reduce-student-debt-risk-improve-employability/ #HigherEducation #WorkforceDevelopment #AppliedLearning #HigherEdLeadership #ChangingHigherEd  

Algunas historias son difíciles de contar, pero importan y tenemos que escuchar. Esta es una de ellas: una historia sobre una familia, una ruptura, una adolescente marcada para siempre y una cadena trágica de acontecimientos que terminó en una tragedia. Este es el trágico asesinato de Jessica Rodríguez, Kylie y Jacob.Puede escuchar nuestro NUEVO episodio en Spotify, Apple Podcasts y todas las demás plataformas de transmisión.—Some stories are difficult to tell, but they matter. This is one of them—a story about a family, a breakup, a teenage girl forever changed, and a tragic chain of events that ended in irreversible loss. This is the tragic murder of Jessica Rodriguez, Kylie and Jacob.  You can listen to our NEW episode on Spotify, Apple Podcasts, and all other streaming platforms.—Link + Sources:News West 19: https://www.newswest9.com/article/news/community/vigil-hosted-for-odessa-family-killed-in-triple-homicide/513-c050bedb-761f-405c-82d7-04770c7ed733KCEN 6 News https://youtu.be/1EwxlG5uOio?si=v9LFUJ4kCcxXQ6jdCBS News: https://www.cbsnews.com/news/odessa-west-texas-triple-homicide-arrest/Kris TV: https://www.kristv.com/news/texas-news/15-year-old-male-charged-with-killing-of-ex-girlfriends-mother-two-siblings-in-north-odessaNew York Post: https://nypost.com/2025/12/12/us-news/texas-teen-kills-ex-girlfriends-mother-jennifer-rodriguez-and-two-younger-siblings-in-grizzly-triple-murder/People: https://people.com/teen-allegedly-killed-ex-girlfriend-mom-siblings-capital-murder-11867978— Distributed by Genuina Media — Buy Us A Coffee: https://buymeacoffee.com/svsm_podcast — Follow Us:Instagram: https://www.instagram.com/SVSM_PodcastThreads: https://www.threads.net/@svsm_podcastTwitter/ X: https://www.twitter.com/SVSM_PodcastBlueSky: https://bsky.app/profile/svsmpodcast.bsky.socialFacebook: https://www.facebook.com/SoViolentoSoMacabroPodcastTikTok: https://www.tiktok.com/@svsm_podcastYouTube: https://www.youtube.com/@svsm_podcast Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Marcelo Lebre is the Co-founder and President of Remote, the payroll and international employment company.Remote is one of today's most underrated software companies. We get into why payroll is such a hard problem, why most of the industry still runs on spreadsheets, the edge cases of software meeting government, and a diagnosis of Europe's regulation problem.We also talk through the journey trying 8 different startup ideas before Remote, how COVID changed the business overnight, and what he's learned about building culture and running remote teams.Thanks to Gillian O'Brien, Villi Iltchev, Andreas Klinger, Masha Bucher, and Marcelo's co-founder Job for helping brainstorm topics for this.Try Numeral, the end-to-end platform for sales tax and compliance: ⁠https://www.numeral.com⁠Sign-up for Flex Elite with code TURNER, get $1,000: https://form.typeform.com/to/Rx9rTjFzTimestamps:(3:22) Gaming with kids(6:05) Hundreds of millions in revenue in the most boring market(8:22) Payroll corporate spies(14:54) Why payroll tax is such a hard problem(19:46) Why tax is even more complicated outside the US(23:08) Legacy payroll still runs on manual spreadsheets(29:14) Remote's unfair advantage in AI(31:40) Building the global payroll API that didn't exist(38:06) Meeting his co-founder on a double date(42:04) Seven years of failed products before Remote(49:25) Launching Remote in 2019(52:39) Each year felt like a new apocalypse(59:25) Distributed teams must master async, document everything(1:02:42) Culture is what you tolerate(1:13:05) Europe's regulation problem and why it can't innovate(1:21:18) Why fundraising is so hard in Europe(1:28:23) Deleting spreadsheets to force automation(1:40:25) Burnout, health, fixing the system instead of grinding harder(1:47:57) Writing honestly about the hard parts of building companiesReferencedTry Remote: https://remote.com/Careers at Remote: https://remote.com/careersRemote Handbook: https://remotecom.notion.site/a3439c6ccaac4d5f8c7515c357345c11?v=8bb7f9be662f45da87ef4ab14a42be37The Toyota Way: https://www.amazon.com/Toyota-Way-Management-Principles-Manufacturer/dp/0071392319The Book of Five Rings: https://www.amazon.com/Book-Five-Rings-Miyamoto-Musashi/dp/1590309847Follow MarceloTwitter: https://x.com/marcelolebreLinkedIn: https://www.linkedin.com/in/marcelolebreFollow TurnerTwitter: https://twitter.com/TurnerNovakLinkedIn: https://www.linkedin.com/in/turnernovakSubscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

Send us a texthttps://linktr.ee/pullup3 | Distributed via SteadyHype Studios

Send us a texthttps://linktr.ee/pullup3 | Distributed via SteadyHype Studios

פרק מספר 510 של רברס עם פלטפורמה, שהוקלט ב-6 בינואר 2026. אורי ורן מקליטים בכרכור ומארחים את טל (מאזין ותיק!) מחברת Rhino Federated Computing לשיחה על עולם של חישוב מבוזר, פרטיות רפואית, הצפנות הומומורפיות ונוסטלגיה ל-SETI@home (ולא AI! טוב, גם…).

Nikita Mishra is an Industry Application Engineer, NASCAR Automotive, for ABB, and Mitch Stewart is a Vice President of Sales and Marketing for Minerallac. 

At a live show at Metro in Chicago, bestselling author Kaveh Akbar reads a poem about empathy that he wrote for Jamila Woods. Jamila and Kaveh are old friends, and they discuss empathy in a brutal world, and the echo within questions of theodicy. The University of Chicago's Dr. Eman Abdelhadi speaks about community, empathy, and belonging, and about her speculative fiction novel Everything for Everyone. Jamila Woods finishes the episode with the premiere of a brand new song called "Ordinary As Air." The show was a fundraiser for A Long Walk Home, a local non-profit that provides opportunities for girls and young women.Chapters00:01:34Kaveh Akbar introduces a poem he wrote for Jamila Woods00:05:26Dr. Eman Abdelhadi talks about her research on empathy26:29:39Jamila Woods introduces her new songSongWriterPodcast.comInstagram.com/SongWriterPodcastFacebook.com/SongWriterPodcastTikTok.com/@SongWriterPodcastYouTube.com/@SongwriterPodcastSongWriter is a music and songwriting podcast that turns stories into songs. Host Ben Arthur invites writers, poets, and musicians to share a story or poem, then pairs it with an original song written in response. Along the way, the show explores the creative process through intimate conversations and performances. Guests have included Questlove, Susan Orlean, David Gilmour, David Sedaris, George Saunders, and many more. Distributed by PRX, SongWriter also appears on the syndicated radio program Acoustic Café and in Paste Magazine. Learn more at SongWriterPodcast.com. Season seven is made possible by a grant from Templeton World Charity Foundation

In this episode of the Crazy Wisdom podcast, host Stewart Alsop sits down with Peter Schmidt Nielsen, who is building FPGA-accelerated servers at Saturn Data. The conversation explores why servers need FPGAs, how these field-programmable gate arrays work as "IO expanders" for massive memory bandwidth, and why they're particularly well-suited for vector database and search applications. Peter breaks down the technical realities of FPGAs - including why they "really suck" in many ways compared to GPUs and CPUs - while explaining how his company is leveraging them to provide terabyte-per-second bandwidth to 1.3 petabytes of flash storage. The discussion ranges from distributed systems challenges and the CAP theorem to the hardware-software relationship in modern computing, offering insights into both the philosophical aspects of search technology and the nuts-and-bolts engineering of memory controllers and routing fabrics.For more information about Peter's work, you can reach him on Twitter at @PTRSCHMDTNLSN or find his website at saturndata.com.Timestamps00:00 Introduction to FPGAs and Their Role in Servers02:47 Understanding FPGA Limitations and Use Cases05:55 Exploring Different Types of Servers08:47 The Importance of Memory and Bandwidth11:52 Philosophical Insights on Search and Access Patterns14:50 The Relationship Between Hardware and Search Queries17:45 Challenges of Distributed Systems20:47 The CAP Theorem and Its Implications23:52 The Evolution of Technology and Knowledge Management26:59 FPGAs as IO Expanders29:35 The Trade-offs of FPGAs vs. ASICs and GPUs32:55 The Future of AI Applications with FPGAs35:51 Exciting Developments in Hardware and BusinessKey Insights1. FPGAs are fundamentally "crappy ASICs" with serious limitations - Despite being programmable hardware, FPGAs perform far worse than general-purpose alternatives in most cases. A $100,000 high-end FPGA might only match the memory bandwidth of a $600 gaming GPU. They're only valuable for specific niches like ultra-low latency applications or scenarios requiring massive parallel I/O operations, making them unsuitable for most computational workloads where CPUs and GPUs excel.2. The real value of FPGAs lies in I/O expansion, not computation - Rather than using FPGAs for their processing power, Saturn Data leverages them primarily as cost-effective ways to access massive amounts of DRAM controllers and NVMe interfaces. Their server design puts 200 FPGAs in a 2U enclosure with 1.3 petabytes of flash storage and terabyte-per-second read bandwidth, essentially using FPGAs as sophisticated I/O expanders.3. Access patterns determine hardware performance more than raw specs - The way applications access data fundamentally determines whether specialized hardware will provide benefits. Applications that do sparse reads across massive datasets (like vector databases) benefit from Saturn Data's architecture, while those requiring dense computation or frequent inter-node communication are better served by traditional hardware. Understanding these patterns is crucial for matching workloads to appropriate hardware.4. Distributed systems complexity stems from failure tolerance requirements - The difficulty of distributed systems isn't inherent but depends on what failures you need to tolerate. Simple approaches that restart on any failure are easy but unreliable, while Byzantine fault tolerance (like Bitcoin) is extremely complex. Most practical systems, including banks, find middle ground by accepting occasional unavailability rather than trying to achieve perfect consistency, availability, and partition tolerance simultaneously.5. Hardware specialization follows predictable cycles of generalization and re-specialization - Computing hardware consistently follows "Makimoto's Wave" - specialized hardware becomes more general over time, then gets leapfrogged by new specialized solutions. CPUs became general-purpose, GPUs evolved from fixed graphics pipelines to programmable compute, and now companies like Etched are creating transformer-specific ASICs. This cycle repeats as each generation adds programmability until someone strips it away for performance gains.6. Memory bottlenecks are reshaping the hardware landscape - The AI boom has created severe memory shortages, doubling costs for DRAM components overnight. This affects not just GPU availability but creates opportunities for alternative architectures. When everyone faces higher memory costs, the relative premium for specialized solutions like FPGA-based systems becomes more attractive, potentially shifting the competitive landscape for memory-intensive applications.7. Search applications represent ideal FPGA use cases due to their sparse access patterns - Vector databases and search workloads are particularly well-suited to FPGA acceleration because they involve searching through massive datasets with sparse access patterns rather than dense computation. These applications can effectively utilize the high bandwidth to flash storage and parallel I/O capabilities that FPGAs provide, making them natural early adopters for this type of specialized hardware architecture.

In this Omni Talk Retail episode, recorded live from NRF 2026 in the Vusion podcast studio, Mark Propes from Vusion and Art Miller from Qualcomm reveal how their partnership is enabling "detect and connect" capabilities that transform physical retail into personalized experiences, and why retailers still testing need to operationalize now before the gap becomes permanent. From edge computing that processes 4K video locally instead of streaming to the cloud, to closed-loop attribution tracking customer intent in real-time physical space, Mark and Art break down the multimodal signal taxonomy (RFID, Wi-Fi, Bluetooth, vision) powering connected stores. They share insights on why scanning barcodes continuously creates data-poor environments, how agentic AI creates new doorways into physical stores, and the precision needed for sub-30 minute delivery promises. If you've wondered what detect and connect actually means beyond buzzwords, this conversation delivers the technical foundation and business applications.

In this podcast, InfoQ spoke with Somtochi Onyekwere on recent developments in distributed data systems, how to achieve fast, eventually consistent replication across distributed nodes, and how Conflict-free Replicated Data Type (CRDTs) can help with conflict resolution when managing data. Read a transcript of this interview: https://bit.ly/3Lrq9Zf Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter Upcoming Events: QCon London 2026 (March 16-19, 2026) QCon London equips senior engineers, architects, and technical leaders with trusted, practical insights to lead the change in software development. Get real-world solutions and leadership strategies from senior software practitioners defining current trends and solving today's toughest software challenges. https://qconlondon.com/ QCon AI Boston 2026 (June 1-2, 2026) Learn how real teams are accelerating the entire software lifecycle with AI. https://boston.qcon.ai The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - X: https://x.com/InfoQ?from=@ - LinkedIn: https://www.linkedin.com/company/infoq/ - Facebook: https://www.facebook.com/InfoQdotcom# - Instagram: https://www.instagram.com/infoqdotcom/?hl=en - Youtube: https://www.youtube.com/infoq - Bluesky: https://bsky.app/profile/infoq.com Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of experts. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

Rich Stinson is retiring as President and CEO of Southwire after a 44 year career in the electrical industry. 

In this episode of Best in Fest, host Leslie LaPage sits down with Alan Green, Head of Sales & Acquisitions at 123 Media, to break down how film distribution actually works — and why most indie filmmakers misunderstand it.With decades of experience spanning 20th Century Fox, Pathé, international sales, and producing, Alan offers a brutally honest look at what sells, what doesn't, and how filmmakers can avoid costly mistakes when trying to monetize their films.In this episode, we cover:

In episode 40 of The League, Benoy Thanjan (The Solar Maverick) and David Magid break down why the solar market is undergoing a fundamental repricing of risk. Distributed generation platforms are coming to market as large players recycle capital and reset return expectations. At the same time, land is emerging as a major bottleneck.  Costs are rising, competition is intensifying, and traditional land-option strategies no longer work. Layer in permitting delays and growing uncertainty, and risk is now being priced earlier and more aggressively across solar development. The takeaway: solar fundamentals remain strong, but success in the next phase will depend on securing land early, managing permitting risk, and adapting capital strategies to a changing market. Host Bio: Benoy Thanjan Benoy Thanjan is the Founder and CEO of Reneu Energy, solar developer and consulting firm, and a strategic advisor to multiple cleantech startups. Over his career, Benoy has developed over 100 MWs of solar projects across the U.S., helped launch the first residential solar tax equity funds at Tesla, and brokered $45 million in Renewable Energy Credits (“REC”) transactions. Prior to founding Reneu Energy, Benoy was the Environmental Commodities Trader in Tesla's Project Finance Group, where he managed one of the largest environmental commodities portfolios. He originated REC trades and co-developed a monetization and hedging strategy with senior leadership to enter the East Coast market.  As Vice President at Vanguard Energy Partners, Benoy crafted project finance solutions for commercial-scale solar portfolios. His role at Ridgewood Renewable Power, a private equity fund with 125 MWs of U.S. renewable assets, involved evaluating investment opportunities and maximizing returns. He also played a key role in the sale of the firm's renewable portfolio.  Earlier in his career, Benoy worked in Energy Structured Finance at Deloitte & Touche and Financial Advisory Services at Ernst & Young, following an internship on the trading floor at D.E. Shaw & Co., a multi billion dollar hedge fund. Benoy holds an MBA in Finance from Rutgers University and a BS in Finance and Economics from NYU Stern, where he was an Alumni Scholar. Connect with Benoy on LinkedIn: https://www.linkedin.com/in/benoythanjan/ Learn more: https://reneuenergy.com https://www.solarmaverickpodcast.com   Host Bio: David Magid David Magid is a seasoned renewable energy executive with deep expertise in solar development, financing, and operations. He has worked across the clean energy value chain, leading teams that deliver distributed generation and community solar projects. David is widely recognized for his strategic insights on interconnection, market economics, and policy trends shaping the U.S. solar industry. Connect with David on LinkedIn: https://www.linkedin.com/in/davidmagid/  If you have any questions or comments, you can email us at info@reneuenergy.com.  

2. Future Fleets: Decentralizing Firepower to Counter Chinese Growth. Tom Modly warns that China's shipbuilding capacity vastly outpaces the US, requiring a shift toward distributed forces rather than expensive, concentrated platforms. He advocates for a reinvigorated, independent Department of the Navy to foster the creativity needed to address asymmetric threats like Houthi attacks on high-value assets. 1918 SEVASTOPOL