Podcasts about Solow

Broadway star Hannah Solow joins Emily to discuss her run in Oh, Mary!, the inspiration for her musical sketches, and what performance caused her to get booed by children. Hannah does a performance of one her resumé 'Special Skills,' we discuss why sexy Oklahoma! didn't go over well in Oklahoma, and Hannah reveals the inpiration for her musical comedy numbers. So throw away your leaf blower, try on your leggings, and don't see Cats as you enjoy Chapter 33 of How To Make It.You can watch this full interview on our YouTube channel: @HowToMakeItPodcast Follow us on Instagram: @HowToMakeItPodcast Follow Emily: @emilycappello_ Follow Hannah: @babymcgoo

An der University of Notre Dame hat Rüdiger Bachmann die Vorlesung “Intermediate Macroeconomic Theory” gehalten und wir haben insgesamt 21 Sendungen aufgezeichnet, um diese Vorlesung – so gut es ohne die dazugehörende Folienpräsentation geht – hörbar abzubilden.

An der University of Notre Dame hat Rüdiger Bachmann die Vorlesung “Intermediate Macroeconomic Theory” gehalten und wir haben insgesamt 21 Sendungen aufgezeichnet, um diese Vorlesung – so gut es ohne die dazugehörende Folienpräsentation geht – hörbar abzubilden.

An der University of Notre Dame hat Rüdiger Bachmann die Vorlesung “Intermediate Macroeconomic Theory” gehalten und wir haben insgesamt 21 Sendungen aufgezeichnet, um diese Vorlesung – so gut es ohne die dazugehörende Folienpräsentation geht – hörbar abzubilden.

An der University of Notre Dame hat Rüdiger Bachmann die Vorlesung “Intermediate Macroeconomic Theory” gehalten und wir haben insgesamt 21 Sendungen aufgezeichnet, um diese Vorlesung – so gut es ohne die dazugehörende Folienpräsentation geht – hörbar abzubilden.

On this week's roundup, we cover Bit Digital's WhiteFiber IPO prospectus and public mine executive compensation. Get the headlines that matter, right when they hit the wire: Join our Telegram group for market moving news on top Bitcoin equities like $MSTR, $MARA, $RIOT, $CLSK, and more: https://t.me/blockspacenewsFILL OUT THE SURVEY BY CLICKING HEREWelcome back to The Mining Pod! Today, Colin, Charlie, and Matt talk Bitcoin's surge to $123K and its impact on mining economics, Bit Digital's WhiteFiber IPO prospectus and pivot to an Ethereum treasury strategy, public miner executive compensation, BIT Mining's Ethiopia expansion, and the Mempool.space's "Baja Blast Summer" (i.e., ultra-low transaction fees).Subscribe to our newsletter! **Notes:**• Bitcoin reached $123K all-time high• Hash price at $60 per petahash per day• Exec compensation $14.4M in 2024• Bit Digital raising $67.3M for ETH pivot• WhiteFiber IPO shows $47.6M 2024 HPC revenue• Ethiopia data centers use 30% of country's energy Timestamps:00:00 Start03:17 Difficulty Report by Luxor08:33 Fees are SO LOW!11:12 Bit Digital WhiteFiber S-114:21 Bit Digital ETH treasury22:09 Fractal Bitcoin22:48 VanEck: Executive Pay27:27 BIT Mining Ethiopian data center30:17 Cry Corner: Baja Blast Summer

Get the headlines that matter, right when they hit the wire: Join our Telegram group for market moving news on top Bitcoin equities like $MSTR, $MARA, $RIOT, $CLSK, and more:  https://t.me/blockspacenews FILL OUT THE SURVEY BY CLICKING HERE Welcome back to The Mining Pod! Today, Colin, Charlie, and Matt talk Bitcoin's surge to $123K and its impact on mining economics, Bit Digital's WhiteFiber IPO prospectus and pivot to an Ethereum treasury strategy, public miner executive compensation, BIT Mining's Ethiopia expansion, and the Mempool.space's "Baja Blast Summer" (i.e., ultra-low transaction fees). Subscribe to our newsletter!  **Notes:** • Bitcoin reached $123K all-time high • Hash price at $60 per petahash per day • Exec compensation $14.4M in 2024 • Bit Digital raising $67.3M for ETH pivot • WhiteFiber IPO shows $47.6M 2024 HPC revenue • Ethiopia data centers use 30% of country's energy  Timestamps: 00:00 Start 03:17 Difficulty Report by Luxor 08:33 Fees are SO LOW! 11:12 Bit Digital WhiteFiber S-1 14:21 Bit Digital ETH treasury 22:09 Fractal Bitcoin 22:48 VanEck: Executive Pay 27:27 BIT Mining Ethiopian data center 30:17 Cry Corner: Baja Blast Summer

My fellow pro-growth/progress/abundance Up Wingers,Once-science-fiction advancements like AI, gene editing, and advanced biotechnology have finally arrived, and they're here to stay. These technologies have seemingly set us on a course towards a brand new future for humanity, one we can hardly even picture today. But progress doesn't happen overnight, and it isn't the result of any one breakthrough.As Jamie Metzl explains in his new book, Superconvergence: How the Genetics, Biotech, and AI Revolutions will Transform our Lives, Work, and World, tech innovations work alongside and because of one another, bringing about the future right under our noses.Today on Faster, Please! — The Podcast, I chat with Metzl about how humans have been radically reshaping the world around them since their very beginning, and what the latest and most disruptive technologies mean for the not-too-distant future.Metzl is a senior fellow of the Atlantic Council and a faculty member of NextMed Health. He has previously held a series of positions in the US government, and was appointed to the World Health Organization's advisory committee on human genome editing in 2019. He is the author of several books, including two sci-fi thrillers and his international bestseller, Hacking Darwin.In This Episode* Unstoppable and unpredictable (1:54)* Normalizing the extraordinary (9:46)* Engineering intelligence (13:53)* Distrust of disruption (19:44)* Risk tolerance (24:08)* What is a “newnimal”? (13:11)* Inspired by curiosity (33:42)Below is a lightly edited transcript of our conversation. Unstoppable and unpredictable (1:54)The name of the game for all of this . . . is to ask “What are the things that we can do to increase the odds of a more positive story and decrease the odds of a more negative story?”Pethokoukis: Are you telling a story of unstoppable technological momentum or are you telling a story kind of like A Christmas Carol, of a future that could be if we do X, Y, and Z, but no guarantees?Metzl: The future of technological progress is like the past: It is unstoppable, but that doesn't mean it's predetermined. The path that we have gone over the last 12,000 years, from the domestication of crops to building our civilizations, languages, industrialization — it's a bad metaphor now, but — this train is accelerating. It's moving faster and faster, so that's not up for grabs. It is not up for grabs whether we are going to have the capacities to engineer novel intelligence and re-engineer life — we are doing both of those things now in the early days.What is up for grabs is how these revolutions will play out, and there are better and worse scenarios that we can imagine. The name of the game for all of this, the reason why I do the work that I do, why I write the books that I write, is to ask “What are the things that we can do to increase the odds of a more positive story and decrease the odds of a more negative story?”Progress has been sort of unstoppable for all that time, though, of course, fits and starts and periods of stagnation —— But when you look back at those fits and starts — the size of the Black Plague or World War II, or wiping out Berlin, and Dresden, and Tokyo, and Hiroshima, and Nagasaki — in spite of all of those things, it's one-directional. Our technologies have gotten more powerful. We've developed more capacities, greater ability to manipulate the world around us, so there will be fits and starts but, as I said, this train is moving. That's why these conversations are so important, because there's so much that we can, and I believe must, do now.There's a widely held opinion that progress over the past 50 years has been slower than people might have expected in the late 1960s, but we seem to have some technologies now for which the momentum seems pretty unstoppable.Of course, a lot of people thought, after ChatGPT came out, that superintelligence would happen within six months. That didn't happen. After CRISPR arrived, I'm sure there were lots of people who expected miracle cures right away.What makes you think that these technologies will look a lot different, and our world will look a lot different than they do right now by decade's end?They certainly will look a lot different, but there's also a lot of hype around these technologies. You use the word “superintelligence,” which is probably a good word. I don't like the words “artificial intelligence,” and I have a six-letter framing for what I believe about AGI — artificial general intelligence — and that is: AGI is BS. We have no idea what human intelligence is, if we define our own intelligence so narrowly that it's just this very narrow form of thinking and then we say, “Wow, we have these machines that are mining the entirety of digitized human cultural history, and wow, they're so brilliant, they can write poems — poems in languages that our ancestors have invented based on the work of humans.” So we humans need to be very careful not to belittle ourselves.But we're already seeing, across the board, if you say, “Is CRISPR on its own going to fundamentally transform all of life?” The answer to that is absolutely no. My last book was about genetic engineering. If genetic engineering is a pie, genome editing is a slice and CRISPR is just a tiny little sliver of that slice. But the reason why my new book is called Superconvergence, the entire thesis is that all of these technologies inspire, and influence, and are embedded in each other. We had the agricultural revolution 12,000 years ago, as I mentioned. That's what led to these other innovations like civilization, like writing, and then the ancient writing codes are the foundation of computer codes which underpin our machine learning and AI systems that are allowing us to unlock secrets of the natural world.People are imagining that AI equals ChatGPT, but that's really not the case (AI equals ChatGPT like electricity equals the power station). The story of AI is empowering us to do all of these other things. As a general-purpose technology, already AI is developing the capacity to help us just do basic things faster. Computer coding is the archetypal example of that. Over the last couple of years, the speed of coding has improved by about 50 percent for the most advanced human coders, and as we code, our coding algorithms are learning about the process of coding. We're just laying a foundation for all of these other things.That's what I call “boring AI.” People are imagining exciting AI, like there's a magic AI button and you just press it and AI cures cancer. That's not how it's going to work. Boring AI is going to be embedded in human resource management. It's going to be embedded just giving us a lot of capabilities to do things better, faster than we've done them before. It doesn't mean that AIs are going to replace us. There are a lot of things that humans do that machines can just do better than we are. That's why most of us aren't doing hunting, or gathering, or farming, because we developed machines and other technologies to feed us with much less human labor input, and we have used that reallocation of our time and energy to write books and invent other things. That's going to happen here.The name of the game for us humans, there's two things: One is figuring out what does it mean to be a great human and over-index on that, and two, lay the foundation so that these multiple overlapping revolutions, as they play out in multiple fields, can be governed wisely. That is the name of the game. So when people say, “Is it going to change our lives?” I think people are thinking of it in the wrong way. This shirt that I'm wearing, this same shirt five years from now, you'll say, “Well, is there AI in your shirt?” — because it doesn't look like AI — and what I'm going to say is “Yes, in the manufacturing of this thread, in the management of the supply chain, in figuring out who gets to go on vacation, when, in the company that's making these buttons.” It's all these little things. People will just call it progress. People are imagining magic AI, all of these interwoven technologies will just feel like accelerating progress, and that will just feel like life.Normalizing the extraordinary (9:46)20, 30 years ago we didn't have the internet. I think things get so normalized that this just feels like life.What you're describing is a technology that economists would call a general-purpose technology. It's a technology embedded in everything, it's everywhere in the economy, much as electricity.What you call “boring AI,” the way I think about it is: I was just reading a Wall Street Journal story about Applebee's talking about using AI for more efficient customer loyalty programs, and they would use machine vision to look at their tables to see if they were cleaned well enough between customers. That, to people, probably doesn't seem particularly science-fictional. It doesn't seem world-changing. Of course, faster growth and a more productive economy is built on those little things, but I guess I would still call those “boring AI.”What to me definitely is not boring AI is the sort of combinatorial aspect that you're talking about where you're talking about AI helping the scientific discovery process and then interweaving with other technologies in kind of the classic Paul Romer combinatorial way.I think a lot of people, if they look back at their lives 20 or 30 years ago, they would say, “Okay, more screen time, but probably pretty much the same.”I don't think they would say that. 20, 30 years ago we didn't have the internet. I think things get so normalized that this just feels like life. If you had told ourselves 30 years ago, “You're going to have access to all the world's knowledge in your pocket.” You and I are — based on appearances, although you look so youthful — roughly the same age, so you probably remember, “Hurry, it's long distance! Run down the stairs!”We live in this radical science-fiction world that has been normalized, and even the things that you are mentioning, if you see open up your newsfeed and you see that there's this been incredible innovation in cancer care, and whether it's gene therapy, or autoimmune stuff, or whatever, you're not thinking, “Oh, that was AI that did that,” because you read the thing and it's like “These researchers at University of X,” but it is AI, it is electricity, it is agriculture. It's because our ancestors learned how to plant seeds and grow plants where you're stationed and not have to do hunting and gathering that you have had this innovation that is keeping your grandmother alive for another 10 years.What you're describing is what I call “magical AI,” and that's not how it works. Some of the stuff is magical: the Jetsons stuff, and self-driving cars, these things that are just autopilot airplanes, we live in a world of magical science fiction and then whenever something shows up, we think, “Oh yeah, no big deal.” We had ChatGPT, now ChatGPT, no big deal?If you had taken your grandparents, your parents, and just said, “Hey, I'm going to put you behind a screen. You're going to have a conversation with something, with a voice, and you're going to do it for five hours,” and let's say they'd never heard of computers and it was all this pleasant voice. In the end they said, “You just had a five-hour conversation with a non-human, and it told you about everything and all of human history, and it wrote poems, and it gave you a recipe for kale mush or whatever you're eating,” you'd say, “Wow!” I think that we are living in that sci-fi world. It's going to get faster, but every innovation, we're not going to say, “Oh, AI did that.” We're just going to say, “Oh, that happened.”Engineering intelligence (13:53)I don't like the word “artificial intelligence” because artificial intelligence means “artificial human intelligence.” This is machine intelligence, which is inspired by the products of human intelligence, but it's a different form of intelligence . . .I sometimes feel in my own writing, and as I peruse the media, like I read a lot more about AI, the digital economy, information technology, and I feel like I certainly write much less about genetic engineering, biotechnology, which obviously is a key theme in your book. What am I missing right now that's happening that may seem normal five years from now, 10 years, but if I were to read about it now or understand it now, I'd think, “Well, that is kind of amazing.”My answer to that is kind of everything. As I said before, we are at the very beginning of this new era of life on earth where one species, among the billions that have ever lived, suddenly has the increasing ability to engineer novel intelligence and re-engineer life.We have evolved by the Darwinian processes of random mutation and natural selection, and we are beginning a new phase of life, a new Cambrian Revolution, where we are creating, certainly with this novel intelligence that we are birthing — I don't like the word “artificial intelligence” because artificial intelligence means “artificial human intelligence.” This is machine intelligence, which is inspired by the products of human intelligence, but it's a different form of intelligence, just like dolphin intelligence is a different form of intelligence than human intelligence, although we are related because of our common mammalian route. That's what's happening here, and our brain function is roughly the same as it's been, certainly at least for tens of thousands of years, but the AI machine intelligence is getting smarter, and we're just experiencing it.It's become so normalized that you can even ask that question. We live in a world where we have these AI systems that are just doing more and cooler stuff every day: driving cars, you talked about discoveries, we have self-driving laboratories that are increasingly autonomous. We have machines that are increasingly writing their own code. We live in a world where machine intelligence has been boxed in these kinds of places like computers, but very soon it's coming out into the world. The AI revolution, and machine-learning revolution, and the robotics revolution are going to be intersecting relatively soon in meaningful ways.AI has advanced more quickly than robotics because it hasn't had to navigate the real world like we have. That's why I'm always so mindful of not denigrating who we are and what we stand for. Four billion years of evolution is a long time. We've learned a lot along the way, so it's going to be hard to put the AI and have it out functioning in the world, interacting in this world that we have largely, but not exclusively, created.But that's all what's coming. Some specific things: 30 years from now, my guess is many people who are listening to this podcast will be fornicating regularly with robots, and it'll be totally normal and comfortable.. . . I think some people are going to be put off by that.Yeah, some people will be put off and some people will be turned on. All I'm saying is it's going to be a mix of different —Jamie, what I would like to do is be 90 years old and be able to still take long walks, be sharp, not have my knee screaming at me. That's what I would like. Can I expect that?I think this can help, but you have to decide how to behave with your personalized robot.That's what I want. I'm looking for the achievement of human suffering. Will there be a world of less human suffering?We live in that world of less human suffering! If you just look at any metric of anything, this is the best time to be alive, and it's getting better and better. . . We're living longer, we're living healthier, we're better educated, we're more informed, we have access to more and better food. This is by far the best time to be alive, and if we don't massively screw it up, and frankly, even if we do, to a certain extent, it'll continue to get better.I write about this in Superconvergence, we're moving in healthcare from our world of generalized healthcare based on population averages to precision healthcare, to predictive and preventive. In education, some of us, like myself, you have had access to great education, but not everybody has that. We're going to have access to fantastic education, personalized education everywhere for students based on their own styles of learning, and capacities, and native languages. This is a wonderful, exciting time.We're going to get all of those things that we can hope for and we're going to get a lot of things that we can't even imagine. And there are going to be very real potential dangers, and if we want to have the good story, as I keep saying, and not have the bad story, now is the time where we need to start making the real investments.Distrust of disruption (19:44)Your job is the disruption of this thing that's come before. . . stopping the advance of progress is just not one of our options.I think some people would, when they hear about all these changes, they'd think what you're telling them is “the bad story.”I just talked about fornicating with robots, it's the bad story?Yeah, some people might find that bad story. But listen, we live at an age where people have recoiled against the disruption of trade, for instance. People are very allergic to the idea of economic disruption. I think about all the debate we had over stem cell therapy back in the early 2000s, 2002. There certainly is going to be a certain contingent that, what they're going to hear what you're saying is: you're going to change what it means to be a human. You're going to change what it means to have a job. I don't know if I want all this. I'm not asking for all this.And we've seen where that pushback has greatly changed, for instance, how we trade with other nations. Are you concerned that that pushback could create regulatory or legislative obstacles to the kind of future you're talking about?All of those things, and some of that pushback, frankly, is healthy. These are fundamental changes, but those people who are pushing back are benchmarking their own lives to the world that they were born into and, in most cases, without recognizing how radical those lives already are, if the people you're talking about are hunter-gatherers in some remote place who've not gone through domestication of agriculture, and industrialization, and all of these kinds of things, that's like, wow, you're going from being this little hunter-gatherer tribe in the middle of Atlantis and all of a sudden you're going to be in a world of gene therapy and shifting trading patterns.But the people who are saying, “Well, my job as a computer programmer, as a whatever, is going to get disrupted,” your job is the disruption. Your job is the disruption of this thing that's come before. As I said at the start of our conversation, stopping the advance of progress is just not one of our options.We could do it, and societies have done it before, and they've lost their economies, they've lost their vitality. Just go to Europe, Europe is having this crisis now because for decades they saw their economy and their society, frankly, as a museum to the past where they didn't want to change, they didn't want to think about the implications of new technologies and new trends. It's why I am just back from Italy. It's wonderful, I love visiting these little farms where they're milking the goats like they've done for centuries and making cheese they've made for centuries, but their economies are shrinking with incredible rapidity where ours and the Chinese are growing.Everybody wants to hold onto the thing that they know. It's a very natural thing, and I'm not saying we should disregard those views, but the societies that have clung too tightly to the way things were tend to lose their vitality and, ultimately, their freedom. That's what you see in the war with Russia and Ukraine. Let's just say there are people in Ukraine who said, “Let's not embrace new disruptive technologies.” Their country would disappear.We live in a competitive world where you can opt out like Europe opted out solely because they lived under the US security umbrella. And now that President Trump is threatening the withdrawal of that security umbrella, Europe is being forced to race not into the future, but to race into the present.Risk tolerance (24:08). . . experts, scientists, even governments don't have any more authority to make these decisions about the future of our species than everybody else.I certainly understand that sort of analogy, and compared to Europe, we look like a far more risk-embracing kind of society. Yet I wonder how resilient that attitude — because obviously I would've said the same thing maybe in 1968 about the United States, and yet a decade later we stopped building nuclear reactors — I wonder how resilient we are to anything going wrong, like something going on with an AI system where somebody dies. Or something that looks like a cure that kills someone. Or even, there seems to be this nuclear power revival, how resilient would that be to any kind of accident? How resilient do you think are we right now to the inevitable bumps along the way?It depends on who you mean by “we.” Let's just say “we” means America because a lot of these dawns aren't the first ones. You talked about gene therapy. This is the second dawn of gene therapy. The first dawn came crashing into a halt in 1999 when a young man at the University of Pennsylvania died as a result of an error carried out by the treating physicians using what had seemed like a revolutionary gene therapy. It's the second dawn of AI after there was a lot of disappointment. There will be accidents . . .Let's just say, hypothetically, there's an accident . . . some kind of self-driving car is going to kill somebody or whatever. And let's say there's a political movement, the Luddites that is successful, and let's just say that every self-driving car in America is attacked and destroyed by mobs and that all of the companies that are making these cars are no longer able to produce or deploy those cars. That's going to be bad for self-driving cars in America — it's not going to be bad for self-driving cars. . . They're going to be developed in some other place. There are lots of societies that have lost their vitality. That's the story of every empire that we read about in history books: there was political corruption, sclerosis. That's very much an option.I'm a patriotic American and I hope America leads these revolutions as long as we can maintain our values for many, many centuries to come, but for that to happen, we need to invest in that. Part of that is investing now so that people don't feel that they are powerless victims of these trends they have no influence over.That's why all of my work is about engaging people in the conversation about how do we deploy these technologies? Because experts, scientists, even governments don't have any more authority to make these decisions about the future of our species than everybody else. What we need to do is have broad, inclusive conversations, engage people in all kinds of processes, including governance and political processes. That's why I write the books that I do. That's why I do podcast interviews like this. My Joe Rogan interviews have reached many tens of millions of people — I know you told me before that you're much bigger than Joe Rogan, so I imagine this interview will reach more than that.I'm quite aspirational.Yeah, but that's the name of the game. With my last book tour, in the same week I spoke to the top scientists at Lawrence Livermore National Laboratory and the seventh and eighth graders at the Solomon Schechter Hebrew Academy of New Jersey, and they asked essentially the exact same questions about the future of human genetic engineering. These are basic human questions that everybody can understand and everybody can and should play a role and have a voice in determining the big decisions and the future of our species.To what extent is the future you're talking about dependent on continued AI advances? If this is as good as it gets, does that change the outlook at all?One, there's no conceivable way that this is as good as it gets because even if the LLMs, large language models — it's not the last word on algorithms, there will be many other philosophies of algorithms, but let's just say that LLMs are the end of the road, that we've just figured out this one thing, and that's all we ever have. Just using the technologies that we have in more creative ways is going to unleash incredible progress. But it's certain that we will continue to have innovations across the field of computer science, in energy production, in algorithm development, in the ways that we have to generate and analyze massive data pools. So we don't need any more to have the revolution that's already started, but we will have more.Politics always, ultimately, can trump everything if we get it wrong. But even then, even if . . . let's just say that the United States becomes an authoritarian, totalitarian hellhole. One, there will be technological innovation like we're seeing now even in China, and two, these are decentralized technologies, so free people elsewhere — maybe it'll be Europe, maybe it'll be Africa or whatever — will deploy these technologies and use them. These are agnostic technologies. They don't have, as I said at the start, an inevitable outcome, and that's why the name of the game for us is to weave our best values into this journey.What is a “newnimal”? (30:11). . . we don't live in a state of nature, we live in a world that has been massively bio-engineered by our ancestors, and that's just the thing that we call life.When I was preparing for this interview and my research assistant was preparing, I said, “We have to have a question about bio-engineered new animals.” One, because I couldn't pronounce your name for these . . . newminals? So pronounce that name and tell me why we want these.It's a made up word, so you can pronounce it however you want. “Newnimals” is as good as anything.We already live in a world of bio-engineered animals. Go back 50,000 years, find me a dog, find me a corn that is recognizable, find me rice, find me wheat, find me a cow that looks remotely like the cow in your local dairy. We already live in that world, it's just people assume that our bioengineered world is some kind of state of nature. We already live in a world where the size of a broiler chicken has tripled over the last 70 years. What we have would have been unrecognizable to our grandparents.We are already genetically modifying animals through breeding, and now we're at the beginning of wanting to have whatever those same modifications are, whether it's producing more milk, producing more meat, living in hotter environments and not dying, or whatever it is that we're aiming for in these animals that we have for a very long time seen not as ends in themselves, but means to the alternate end of our consumption.We're now in the early stages xenotransplantation, modifying the hearts, and livers, and kidneys of pigs so they can be used for human transplantation. I met one of the women who has received — and seems to so far to be thriving — a genetically modified pig kidney. We have 110,000 people in the United States on the waiting list for transplant organs. I really want these people not just to survive, but to survive and thrive. That's another area we can grow.Right now . . . in the world, we slaughter about 93 billion land animals per year. We consume 200 million metric tons of fish. That's a lot of murder, that's a lot of risk of disease. It's a lot of deforestation and destruction of the oceans. We can already do this, but if and when we can grow bioidentical animal products at scale without having all of these negative externalities of whether it's climate change, environmental change, cruelty, deforestation, increased pandemic risk, what a wonderful thing to do!So we have these technologies and you mentioned that people are worried about them, but the reason people are worried about them is they're imagining that right now we live in some kind of unfettered state of nature and we're going to ruin it. But that's why I say we don't live in a state of nature, we live in a world that has been massively bio-engineered by our ancestors, and that's just the thing that we call life.Inspired by curiosity (33:42). . . the people who I love and most admire are the people who are just insatiably curious . . .What sort of forward thinkers, or futurists, or strategic thinkers of the past do you model yourself on, do you think are still worth reading, inspired you?Oh my God, so many, and the people who I love and most admire are the people who are just insatiably curious, who are saying, “I'm going to just look at the world, I'm going to collect data, and I know that everybody says X, but it may be true, it may not be true.” That is the entire history of science. That's Galileo, that's Charles Darwin, who just went around and said, “Hey, with an open mind, how am I going to look at the world and come up with theses?” And then he thought, “Oh s**t, this story that I'm coming up with for how life advances is fundamentally different from what everybody in my society believes and organizes their lives around.” Meaning, in my mind, that's the model, and there are so many people, and that's the great thing about being human.That's what's so exciting about this moment is that everybody has access to these super-empowered tools. We have eight billion humans, but about two billion of those people are just kind of locked out because of crappy education, and poor water sanitation, electricity. We're on the verge of having everybody who has a smartphone has the possibility of getting a world-class personalized education in their own language. How many new innovations will we have when little kids who were in slums in India, or in Pakistan, or in Nairobi, or wherever who have promise can educate themselves, and grow up and cure cancers, or invent new machines, or new algorithms. This is pretty exciting.The summary of the people from the past, they're kind of like the people in the present that I admire the most, are the people who are just insatiably curious and just learning, and now we have a real opportunity so that everybody can be their own Darwin.On sale everywhere The Conservative Futurist: How To Create the Sci-Fi World We Were PromisedMicro Reads▶ Economics* AI Hype Is Proving to Be a Solow's Paradox - Bberg Opinion* Trump Considers Naming Next Fed Chair Early in Bid to Undermine Powell - WSJ* Who Needs the G7? - PS* Advances in AI will boost productivity, living standards over time - Dallas Fed* Industrial Policy via Venture Capital - SSRN* Economic Sentiment and the Role of the Labor Market - St. Louis Fed▶ Business* AI valuations are verging on the unhinged - Economist* Nvidia shares hit record high on renewed AI optimism - FT* OpenAI, Microsoft Rift Hinges on How Smart AI Can Get - WSJ* Takeaways From Hard Fork's Interview With OpenAI's Sam Altman - NYT* Thatcher's legacy endures in Labour's industrial strategy - FT* Reddit vows to stay human to emerge a winner from artificial intelligence - FT▶ Policy/Politics* Anthropic destroyed millions of print books to build its AI models - Ars* Don't Let Silicon Valley Move Fast and Break Children's Minds - NYT Opinion* Is DOGE doomed to fail? Some experts are ready to call it. - Ars* The US is failing its green tech ‘Sputnik moment' - FT▶ AI/Digital* Future of Work with AI Agents: Auditing Automation and Augmentation Potential across the U.S. Workforce - Arxiv* Is the Fed Ready for an AI Economy? - WSJ Opinion* How Much Energy Does Your AI Prompt Use? I Went to a Data Center to Find Out. - WSJ* Meta Poaches Three OpenAI Researchers - WSJ* AI Agents Are Getting Better at Writing Code—and Hacking It as Well - Wired* Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research - Arxiv▶ Biotech/Health* Google's new AI will help researchers understand how our genes work - MIT* Does using ChatGPT change your brain activity? Study sparks debate - Nature* We cure cancer with genetic engineering but ban it on the farm. - ImmunoLogic* ChatGPT and OCD are a dangerous combo - Vox▶ Clean Energy/Climate* Is It Too Soon for Ocean-Based Carbon Credits? - Heatmap* The AI Boom Can Give Rooftop Solar a New Pitch - Bberg Opinion▶ Robotics/Drones/AVs* Tesla's Robotaxi Launch Shows Google's Waymo Is Worth More Than $45 Billion - WSJ* OpenExo: An open-source modular exoskeleton to augment human function - Science Robotics▶ Space/Transportation* Bezos and Blue Origin Try to Capitalize on Trump-Musk Split - WSJ* Giant asteroid could crash into moon in 2032, firing debris towards Earth - The Guardian▶ Up Wing/Down Wing* New Yorkers Vote to Make Their Housing Shortage Worse - WSJ* We Need More Millionaires and Billionaires in Latin America - Bberg Opinion▶ Substacks/Newsletters* Student visas are a critical pipeline for high-skilled, highly-paid talent - AgglomerationsState Power Without State Capacity - Breakthrough JournalFaster, Please! is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit fasterplease.substack.com/subscribe

Send us a textPokémon's patent of spherical objects throwing of cartoon creatures threatens Palword's lifeblood, while Tim Sweeney has lifted, at least a percentage point, in total gaming GDP with its injunction success.How does Apple's rent-seeking rate change in the face of this ruling? Should Apple lower its rate to 15%, like it did in subscriptions? Remember, it faced competition primarily from "webstores" too. We premier a new segment: SOLVE that for EQUILIBRIUM.We discuss the marginal *monetization* effects and debate the benefits of personalization opportunities (hint: there are none) with webstores.@Chris is intrigued by Joost's piece on rising game costs, while AI's effects on the industry are measured in the Solow model. @Phil insists rising game costs mean rising revenue and stable margins, while Eric has his own doubts.Eric's on IP Laws: https://substack.com/home/post/p-161276950Joost's On Gaming Costs: https://superjoost.substack.com/p/gamings-billion-dollar-gamble

Пиратская Станция заряжает слушателей позитивными вибрациями новых релизов drumandbass на радио Рекорд. Каскадом сабжанров и энергией танцполов пусть пронесется этот выпуск и найдет свое место в ваших плейлистах.. всем огонь! GVOZD vibez: 1.John B, Wyld Dogz & The Young Punx - Somebody's Watching Me (Dnb Club Mix) 2.S9 - Nothing To Prove 3.The Mind Hackers - High 4.All Fires & KJ Sawka - Ignite VIP (VIP Version) 5.Fox Stevenson - Exile Is A Habit 6.Friction- Set Me Free (T & Sugah Remix) 7.Armin van Buuren, Pendulum & Rob Swire - Sound of You 8.Blooom & Mila Falls - The Way I Roll 9.CHASER/Malstrom/Smoky D - Po Nizam! 10.Fade Black - Pharaoh 11.Dr. Apollo & Jordan Grace - Take Me Away 12.Jon Void & Wolf Pax - Like A Puppet 13.Bad Syntax - Wildfire (Diode Remix) 14.High One - Contusion 15.Mythic Image - Like This 16.Zigi SC/Karpa - Childsplay 17.Den Blacky - Ghost 18.Akov - Fake Blood 19.AURELIAN - Cheat Code 20.AKOV - Catalyst 21.MaLTeS - Memory VIP 22.Den Blacky & Muwa - Saw 23.Canceled Culture - Legacy 24.Chris.su - Time Goes By 25.Arcando - California Dreamin' 26.30Hz - Heavy Metal 27.Hologram - Digital Seagull 28.Emperor - Death Tax 29.NOGE/MadRush MC - Screech (No Joke) 30.Valmer - Like This 31.Mooncat - Kombucha 32.Thematic - Dirty Talker 33.Drelio & Ammon - Cafeina 34.Need For Mirrors, Young Gho$t - Red Alert 35.Oneda - Set It Off (EMCD + Seeka Remix) 36.Replete - Stimulating 37.So-Low, Trafic MC - So On 38.Gouki & G3MC - Dojo (Lexed Remix) 39.Bigm - JACK RUSSEL 40.Atmos - Dutty Gyal 41.Formula/Drz - Hypno Toad 42.Upgrade - Yoi Gi Oh 43.Hexa - Swagga 44.Jam Thieves - Botswana 45.Pruf - Dirty Vibes 46.GGrossy - You're Done 47.Jedi - Next To Me 48.Herbz, Premium, Noir Dnb - CTRL Me 49.Coastill - Do It 50.Gifta - Unhinged 51.Conrad Subs - Fatboi 52.Modulizer - Mad Ting 53.Onside - Jungle City 54.DJ Hybrid - Listen Sweet 55.DJ Remixx/Mr Quest - Ghost 56.Arttu/Richie Culture - Shot One Down (Conrad Subs Remix) 57.Dreadnaught - Back to the village 58.Dj Zent & TherapyDNB - Journey 59.DSP - Voices 60.Glitch City, Blaxx - Babylon 61.Freddy B, So-Low, VEX - Read My Mind (Exile Remix) 62.Kyng of ThievezPhat Bam 63.Blasio Kavuma - Reverie vs Machine_ Chris’ Rotterdam Rerun (Remixed by Chris Inperspective) 64.Taelimb & Molife - Chama 65.Unknown Artist - Electric Relaxin 66.Command Strange & Intelligent Manners - In My Mind 67.Bella Renee - Jaded 68.Linx - Hold You Again 69.Radiata - Locker Lover 70.Rafau Etamski - Good Day 71.Dangeon, Fri3ndship - Tides

1.John B, Wyld Dogz & The Young Punx - Somebody's Watching Me (Dnb Club Mix) 2.S9 - Nothing To Prove 3.The Mind Hackers - High 4.All Fires & KJ Sawka - Ignite VIP (VIP Version) 5.Fox Stevenson - Exile Is A Habit 6.Friction - Set Me Free (T & Sugah Remix) 7.Armin van Buuren, Pendulum & Rob Swire - Sound of You 8.Blooom & Mila Falls - The Way I Roll 9.CHASER/Malstrom/Smoky D - Po Nizam! 10.Fade Black - Pharaoh 11.Dr. Apollo & Jordan Grace - Take Me Away 12.Jon Void & Wolf Pax - Like A Puppet 13.Bad Syntax - Wildfire (Diode Remix) 14.High One - Contusion 15.Mythic Image - Like This 16.Zigi SC/Karpa - Childsplay 17.Den Blacky - Ghost 18.Akov - Fake Blood 19.AURELIAN - Cheat Code 20.AKOV - Catalyst 21.MaLTeS - Memory VIP 22.Den Blacky & Muwa - Saw 23.Canceled Culture - Legacy 24.Chris.su - Time Goes By 25.Arcando - California Dreamin' 26.30Hz - Heavy Metal 27.Hologram - Digital Seagull 28.Emperor - Death Tax 29.NOGE/MadRush MC - Screech (No Joke) 30.Valmer - Like This 31.Mooncat - Kombucha 32.Thematic - Dirty Talker 33.Drelio & Ammon - Cafeina 34.Need For Mirrors, Young Gho$t - Red Alert 35.Oneda - Set It Off (EMCD + Seeka Remix) 36.Replete - Stimulating 37.So-Low, Trafic MC - So On 38.Gouki & G3MC - Dojo (Lexed Remix) 39.Bigm - JACK RUSSEL 40.Atmos - Dutty Gyal 41.Formula/Drz - Hypno Toad 42.Upgrade - Yoi Gi Oh 43.Hexa - Swagga 44.Jam Thieves - Botswana 45.Pruf - Dirty Vibes 46.GGrossy - You're Done 47.Jedi - Next To Me 48.Herbz, Premium, Noir Dnb - CTRL Me 49.Coastill - Do It 50.Gifta - Unhinged 51.Conrad Subs - Fatboi 52.Modulizer - Mad Ting 53.Onside - Jungle City 54.DJ Hybrid - Listen Sweet 55.DJ Remixx/Mr Quest - Ghost 56.Arttu/Richie Culture - Shot One Down (Conrad Subs Remix) 57.Dreadnaught - Back to the village 58.Dj Zent & TherapyDNB - Journey 59.DSP - Voices 60.Glitch City, Blaxx - Babylon 61.Freddy B, So-Low, VEX - Read My Mind (Exile Remix) 62.Kyng of Thievez Phat Bam 63.Blasio Kavuma - Reverie vs Machine_ Chris’ Rotterdam Rerun (Remixed by Chris Inperspective) 64.Taelimb & Molife - Chama 65.Unknown Artist - Electric Relaxin 66.Command Strange & Intelligent Manners - In My Mind 67.Bella Renee - Jaded 68.Linx - Hold You Again 69.Radiata - Locker Lover 70.Rafau Etamski - Good Day 71.Dangeon, Fri3ndship - Tides

1.John B, Wyld Dogz & The Young Punx - Somebody's Watching Me (Dnb Club Mix) 2.S9 - Nothing To Prove 3.The Mind Hackers - High 4.All Fires & KJ Sawka - Ignite VIP (VIP Version) 5.Fox Stevenson - Exile Is A Habit 6.Friction - Set Me Free (T & Sugah Remix) 7.Armin van Buuren, Pendulum & Rob Swire - Sound of You 8.Blooom & Mila Falls - The Way I Roll 9.CHASER/Malstrom/Smoky D - Po Nizam! 10.Fade Black - Pharaoh 11.Dr. Apollo & Jordan Grace - Take Me Away 12.Jon Void & Wolf Pax - Like A Puppet 13.Bad Syntax - Wildfire (Diode Remix) 14.High One - Contusion 15.Mythic Image - Like This 16.Zigi SC/Karpa - Childsplay 17.Den Blacky - Ghost 18.Akov - Fake Blood 19.AURELIAN - Cheat Code 20.AKOV - Catalyst 21.MaLTeS - Memory VIP 22.Den Blacky & Muwa - Saw 23.Canceled Culture - Legacy 24.Chris.su - Time Goes By 25.Arcando - California Dreamin' 26.30Hz - Heavy Metal 27.Hologram - Digital Seagull 28.Emperor - Death Tax 29.NOGE/MadRush MC - Screech (No Joke) 30.Valmer - Like This 31.Mooncat - Kombucha 32.Thematic - Dirty Talker 33.Drelio & Ammon - Cafeina 34.Need For Mirrors, Young Gho$t - Red Alert 35.Oneda - Set It Off (EMCD + Seeka Remix) 36.Replete - Stimulating 37.So-Low, Trafic MC - So On 38.Gouki & G3MC - Dojo (Lexed Remix) 39.Bigm - JACK RUSSEL 40.Atmos - Dutty Gyal 41.Formula/Drz - Hypno Toad 42.Upgrade - Yoi Gi Oh 43.Hexa - Swagga 44.Jam Thieves - Botswana 45.Pruf - Dirty Vibes 46.GGrossy - You're Done 47.Jedi - Next To Me 48.Herbz, Premium, Noir Dnb - CTRL Me 49.Coastill - Do It 50.Gifta - Unhinged 51.Conrad Subs - Fatboi 52.Modulizer - Mad Ting 53.Onside - Jungle City 54.DJ Hybrid - Listen Sweet 55.DJ Remixx/Mr Quest - Ghost 56.Arttu/Richie Culture - Shot One Down (Conrad Subs Remix) 57.Dreadnaught - Back to the village 58.Dj Zent & TherapyDNB - Journey 59.DSP - Voices 60.Glitch City, Blaxx - Babylon 61.Freddy B, So-Low, VEX - Read My Mind (Exile Remix) 62.Kyng of Thievez Phat Bam 63.Blasio Kavuma - Reverie vs Machine_ Chris’ Rotterdam Rerun (Remixed by Chris Inperspective) 64.Taelimb & Molife - Chama 65.Unknown Artist - Electric Relaxin 66.Command Strange & Intelligent Manners - In My Mind 67.Bella Renee - Jaded 68.Linx - Hold You Again 69.Radiata - Locker Lover 70.Rafau Etamski - Good Day 71.Dangeon, Fri3ndship - Tides

It's no secret that we usually disagree with IMDB and think that a movie should be rated much higher. But sometimes, there are movies that are rated SO LOW that we have to step in and say something. On today's brunch, we each give 5 movies that are a 7.0 or lower on IMDB and then tell you what the proper rating should actually be. ****LawnBright- Go to http://getlawnbright.com and use code CONFUSED for 15% off your first order Learn more about your ad choices. Visit megaphone.fm/adchoices

Send me a Text Message here.Life balance? First, we need to find the center of gravity to put the fulcrum.Sharon Neumann Solow shares more about how her new book Powerful Interpreting: Build Your Skills in 5 Steps, can develop the skills we need to strengthen. From students to experienced interpreters can be supported in their practice by just trying to focus on the 5 areas laid out in Sharon's book.But more importantly, she shares her personal story throughout the 60 years of her professional career. Let's take a few lessons from her happy example.LINKS mentioned:IW Community Discount until Dec 31, 11:59:59pm.10-50% OFF workshops, seminars. Earn CEUs, CPD, and professional development hours.And much more.Sharon's new book! (Use promo code IWCurry for 10% Discount.)Give a note to ask for a signed copy!Support the showDon't forget to tell a friend or colleague! Click below! IW Community Buy Me a Coffee Get extras with a subscription! Share the PODCAST Listen & follow on many other platforms. Send me a voicemail! [TRANSCRIPTS ARE HERE] Thanks for listening. I'll see you next week.Take care now.

Send me a Text Message here.WHAT?! I'm gob smacked!There are moments when our whole perspective is changed. We usually remember those moments vividly.Sharon Neumann Solow shares one such moment that stayed with her for a long time as she perfected and developed the concepts she realized at that time. It culminated in the publishing of her latest book, Powerful Interpreting: Build Your Skills in 5 Steps. Learn of that moment and more about the new book in this episode.LINKS mentioned:IW Community Discount until Dec 31, 11:59:59pm.10-50% OFF workshops, seminars. Earn CEUs, CPD, and professional development hours.And much more.Sharon's new book! (Use promo code IWCurry for 10% Discount.)Give a note to ask for a signed copy!Support the showDon't forget to tell a friend or colleague! Click below! IW Community Buy Me a Coffee Get extras with a subscription! Share the PODCAST Listen & follow on many other platforms. Send me a voicemail! [TRANSCRIPTS ARE HERE] Thanks for listening. I'll see you next week.Take care now.

Send me a Text Message here.SHE's BAAaaaack! We had a "crackin'" good time!Sharon Neumann-Solow shares her thoughts as she describes the 2024 CIT conference. We discuss the beginnings of CIT, the major stars of that generation, and some of the impacts CIT has had on the training of signed language interpreters in the U.S. and abroad. [SECRET: Sharon has a new book! Check it out.]LINKS mentioned:IW Community Discount until Dec 31, 11:59:59pm.10-50% OFF workshops, seminars. Earn CEUs, CPD, and professional development hours.And much more.Sharon's new book! (Use promo code IWCurry for 10% Discount.)Give a note to ask for a signed copy!Support the showDon't forget to tell a friend or colleague! Click below! IW Community Buy Me a Coffee Get extras with a subscription! Share the PODCAST Listen & follow on many other platforms. Send me a voicemail! [TRANSCRIPTS ARE HERE] Thanks for listening. I'll see you next week.Take care now.

Many companies strive to automate by using more technology and fewer humans. But does their productivity really improve? Does it keep them agile? In this episode, Jacob Stoller and Andrew Stotz share stories of companies that improve productivity because they focus on processes instead of tech alone. TRANSCRIPT 0:00:02.3 Andrew Stotz: My name is Andrew Stotz, and I'll be your host as we dive deeper into the teachings of Dr. W. Edwards Deming. Today, I continue my conversation with Jacob Stoller, Shingo Prize-winning author of The Lean CEO and Productivity Reimagined, which explores applying Lean and Deming management principles at the enterprise level. The topic for today is myth number five, the Myth of Tech Omnipotence. Jacob, take it away.   0:00:29.8 Jacob Stoller: Great, Andrew. Thanks. Great to be here again. Yeah. Tech omnipotence. Well, it's quite a myth. We sort of worship technology. We have for a long time, and we tend to think it can solve all our problems, and sometimes we get a little too optimistic about it. What I wanna talk about is in the context of companies adopting technology and go through some of the stories about that and how that relates to productivity. Really, the myth of tech omnipotence is kind of like a corollary to the the myth of segmented success. In other words, people have believed that you can take a chunk of a company. Now we'll take Dr. Deming's pyramid, and we take a chunk out of that and say, oh, well, that fits so and so in the org chart, let's automate that.   0:01:28.1 JS: And they don't consider what happens to the rest of the organization. It's just this idea that you can superimpose automation. So this has a long checkered history. And the way technology gets justified in organizations is generally what it's been, is reducing headcount. And I used to work in a tech firm, and we used to do this. We would do these studies, not really a study, but you do a questionnaire and you figure out if we adopt this, if we automate this workflow, let's just say, I don't know, it's accounts payable. So you automate accounts payable and you say, well, you got so many people involved, we think we could cut this by three people or something like that. So that becomes your business case. Now, they had categories in these little questionnaires where you would try to get other benefits from the technology, but they tended to be what they call soft benefits.   0:02:35.4 JS: And you know what that word means. Soft benefits means, well, okay, nice to have, but it's not going to get budget money or it's not gonna get approved. So anyway that's really been the kind of standard way of getting tech projects justified. And that goes through pretty much any industry. So what would happen is people adopt these technologies without looking at the whole system. And guess what? You put the software in, you start to implement it, and you run into problems. Doesn't quite work. Doesn't work the way it was supposed to. And so the tech people tended and still do tend to blame the company. They say, well, they had user problems. Users weren't really adjusting to it. These people are sort of way behind. We're a tech company. We've automated the same process for 50 different companies, we know what's good for them. We have to educate them, but they don't seem to want to be educated. So that was kind of the way it was. And I'll give you an extreme example. I did some freelance work for research firm, and one of the studies I worked on, I'm not making this up, it was called Aligning the Business with IT. So it was trying to get people to smarten up with their business and align it to what the smart people are doing with IT. So that's how extreme that kind of feeling was.   0:04:17.3 AS: As opposed to maybe aligning with the customer or something like that.   0:04:21.1 JS: Well, yeah, wouldn't that be crazy? Or how about aligning IT with the business? Finding out what the business wants. So anyway, that whole way of thinking has had, it's sort of filtered into manufacturing in the same way. And I found this out really researching Productivity Reimagined as I interviewed Ben Armstrong from MIT Industrial Performance Center. And what I learned from him is the whole history of automation and manufacturing in North America. And really, what he told me is that between 1990 and 2010, there were increases in productivity, but those were always from reducing headcount. They never found ways to actually grow the value of the business by using automation. So around 2010 or leading up to 2010, manufacturing started to change, and we started to transition into what they call a high-mix, low-volume type of markets.   0:05:33.3 JS: And I've talked to manufacturers that have said, 10 years ago, I only had to make two or three variations of this part, now I have to make 50 or 60. So you're getting shorter product cycles, larger mix. And the big buzzword now in manufacturing is agility. You've gotta be agile. So there was a study MIT, I think this Performance Center did a study. And they found that when you actually try to grow productivity, and this is really since 2010, you actually lose agility at the same time. You're kind of caught in that situation because you can't... That you lose agility when you let go of people. But that was the only way they could increase productivity. Does that make sense?   0:06:29.1 AS: Yeah. So I'm thinking about that's interesting because agility means being flexible, being able to accommodate. And when you think about the typical automation, it's about repetitive, repetitive, repetitive.   0:06:46.5 JS: Yeah.   0:06:47.3 AS: And so I can kind of get that picture about the agility versus, let's say automation or repetitive processes.   0:06:56.3 JS: Yeah. And I think that people are longing for this golden age. You go from the 1920s to 1960s, and manufacturers made incredible gains in productivity with automation. You put in these huge welding lines where they just weld. You look at the body welding, say in a plant, and it's at lightning speed. There's no question about that. But they basically ran into a plateau with that. And one of the robotics companies told me, he said, we learned decades ago how to automate these mass production processes, but now we're getting into a different kind of age where as somebody put it, we're moving from the industrial mass production age into what they call the process age, where processes are becoming more and more important. So to...   0:07:50.8 AS: And I'm thinking about the automation. I've seen videos on like online about let's say a fulfillment center with all these little robots going around and picking, putting things on them and packaging them, and all of that. So I'm thinking, well, automation has become definitely more maybe, I don't know if the words agile, but it's definitely, it's gone beyond like just automating one little part of the process.   0:08:21.4 JS: Yeah. It's gone away from the let's replace people type scenario. And so what the fastest growing segment right now in robotics is collaborative robots, which can work with people. So to put it very simply, instead of a human replacement, they're becoming tools. But these things are amazing. A worker online on the shop floor can programming these, and they have to be able to because things are changing so fast. So a worker, a welder can actually hold the robotic arm and guide it through a weld and thereby program it so it can learn how to do that weld. So then you can get the robot doing all the dangerous parts. If they're welding something large where they might have to get up on scaffolds or something, they might be able to get the robot to do some of the more dangerous types of positions. So that's when you get the real benefit.   0:09:27.7 AS: Yeah. I would think like in a paint booth, which we had in factories I worked at, now you can seal it off and have a robot in there, and all of a sudden lung problems and other things like that just go away.   0:09:40.8 JS: Interesting. Well, so anyway, we're still in a, I think in a rough spot generally with manufacturing because between 2010 and present day, at least in North America, productivity's gone down. And it's because people haven't been able to... They've depended on those people to keep their agility, but they haven't learned how to add value.   0:10:08.3 AS: Can you discuss that just for a second about productivity going down? That's a little bit of an odd thing because I think most people think that productivity's probably going up. What is the measure you're talking about, and how long and why is that happening?   0:10:23.5 JS: I think it's basically... At least I'd have to look at the study that they have, but it's basically output in proportion to the number of hours. I think that's pretty well accepted. So they're losing ground as the demands for agility are increasing. And their attempts to automate have been, caused problems. You automate and you lose your people, and then you're gonna have a heck of a time getting them back right now because that's really hard in manufacturing. But yeah, I would have to look at the study in detail to understand how they got that number, but I was taking it on faith that this is from Ben Armstrong, who's the director of the Industrial Performance Center.   0:11:11.8 AS: Yeah. You just mentioned something that I was just recently talking with another person about, and that was, one of the downsides of an aging workforce is that you're losing really senior people and you're replacing 'em with people that may not have the skills. Also, US kind of is notorious in America for a declining education. And with education coming down for the last 30 years or so, it's also hard to find, let's say, engineers and people that... There's not a deep market in some of these places where there's need. So that's a real challenge that businesses are facing.   0:11:55.2 JS: It is. Yeah.   0:11:56.3 JS: Yeah. And now what they're doing is they're looking at manufacturing from that standpoint. They're now acknowledging that the scarce resource is the human. And we have to actually build, if we're gonna automate, we have to build those processes around people. And that's... I'm gonna just read you a description here. There's, I think you heard of Technology 4.0, where they talked about putting sensors all over the place and having smart factories and that kind of thing.   0:12:27.7 AS: Yeah.   0:12:28.3 JS: Well, we now have something called Industry 5.0, and I'm just trying to get the wording here 'cause this has been around for a couple years, but it's on the EU website. It says it's "a vision that places the wellbeing of the worker at the center of the production process and uses new technologies to provide prosperity beyond jobs and growth while respecting the production limits of the planet." So they're really trying to center technology around that so you're not doing your sort of environmental and your DEI and all that independently of your production, it's all integrated part of it, which is I think something I'm sure Dr. Deming would have advocated.   0:13:17.8 AS: I'm still kind of fascinated by the productivity, and I just look at here in Asia, productivity is just rising. Education levels are rising. Engineering skills are rising. Competency in certain areas, specialties is just rising. And I oftentimes, I think that one of the things why this... One of the reasons why this is a good discussion that we're having is because in the West, in particular in the US, there's a new challenge. And that is how do you bring business... How do you bring jobs back to the economy when you're facing a very, very different workforce from when, let's say I left Ohio in 1985, roughly. It's a very different workforce nowadays.   0:14:07.1 JS: Well, yeah. And I think a lot of the offshoring arguments were about, well, we'll keep the smart jobs here 'cause we're all well educated and we'll export the low paying, less skilled jobs abroad, and we'll all win. But now, of course, we're finding that people overseas are getting darn well educated, so you can't have a more expensive labor force and have people that maybe aren't even as well educated.   0:14:40.0 AS: Yeah.   0:14:40.2 JS: So it's... Yeah, I think the West is in a very tight spot right now.   0:14:45.3 AS: Yeah. So speaking of automation and technology, I was just typing as you were speaking, and looking at productivity, it says... I was using ChatGPT and that says, US productivity growth average 2.7 annually from 2000 to 2007, but slowed to 1.4% from 2007 to 2019. There was a brief pickup in 2020, and then it's been slow since then. And they talked about this productivity paradox that I think is what you're referencing what Ben is saying.   0:15:21.3 JS: Solow's paradox? Yeah.   0:15:22.6 AS: Yeah. So that's interesting. Yep.   0:15:25.8 JS: Yeah. Solow's paradox, what does it say, that you can see the impact of technology everywhere except in the productivity numbers. I think that's what he said.   0:15:36.8 AS: Yeah, so he said that...   0:15:37.2 JS: He said that by the way in 1987. So anyway, yeah, maybe we're slow learners or something like that. But no, that's really fascinating. But I think that there's a difference between GDP growth and the growth of productivity in manufacturing. I think probably the ones that Ben Armstrong quoted were a little closer to actual manufacturing. But right now, GDP includes financial intermediation, it includes... If you own a home in North America, they include imputed rent, the rent you would have been paying as part of the GDP. So I think there's a bit of inflation, I guess, in the GDP over the years. So I think we have to take that sometimes with a little bit of a grain of salt and look a little more carefully at what the numbers are telling us.   0:16:32.8 AS: Yeah. The main ways that we typically look at it outside of GDP is like non-farm productivity, like non-farm worker, what's the output? And the other one is total factor of productivity. So yeah, GDP can be quite distorted for sure.   0:16:50.4 JS: Yeah, for sure. And anyway, and also just taking GDP per worker can be a very misleading number.   0:17:00.5 AS: Yeah.   0:17:01.3 JS: But anyway, yeah, it's fascinating. But again, the myth is... This myth that technology will solve everything is all over the place. I think with autonomous vehicles, the idea of being able to replace drivers is a just enormous economic cherry, I guess, that everybody wants to pick. You think about it what that would mean if you could... If you bought a car and then you could rent it out as a taxi at night, or what it would do to Uber if they didn't have to have people driving the cars. It's just enormous. But it's been very, very frustrating to get to that point. And when you look at a lot of the forecasts, it's still a long way away. So I think we have to be more conservative about that and talk about more the benefits really of technology and people working together. And I think the automatic driving features they have on cars now are fantastic. You can make a car a lot safer. You can slow down if you're tailgating somebody, it alerts you of just even the simple things that if there's a car to your left passing on the freeway, you get an alert, and that's... This is all really, really good stuff, but I still think that the self-driving part is maybe longer off than people think.   0:18:39.4 AS: Yeah. I think regulators too get panicked and then people want action when there's an accident or something like that. You also mentioned something about the computing power that's required for some of what this is doing, and that's a fascinating topic because it's funny, it's just amazing how much computing power is really going to be required over the next 10, 20 years.   0:19:05.0 JS: Yeah. I think there's a bell curve around some of this stuff, and I'm just gonna talk and I'm gonna jump to regenerative AI, which everybody is talking about. And they're saying, how long before I can have regenerative AI write a document that we could actually be held liable for? It can write documents, but you can't trust it. So they keep trying to improve it, but it's a kind of an exponential problem here where the wider you make your bell curve, the exponentially more power you need to do that. To the point where Microsoft is talking about buying Three Mile Island nuclear plant and rebuilding it to power all this AI stuff. So it's just phenomenal amount of power. I think that's somewhat... I don't know, relying purely on more computer power seems like it might not be a winning strategy.   0:20:13.3 AS: Yeah. It's the regenerative AI and all that's going on is also... I like to say when proponents talk about it and its strengths, which it definitely has strengths, I'm not arguing against that, I use ChatGPT almost every day. And I can say I used to have an editor sit next to me a lot of times and now I don't need that because I can go back and forth. But what I can say is that when a proponent of AI gets accused of murder and they're innocent and they're gonna go before a judge, is that proponent of AI gonna use purely AI to build their defense or would they prefer to have a lawyer who's using AI as a tool. I think I would argue we're far away from the trust level of being able to walk in there and say, I trust AI to get me out of this situation that I've been accused of murder and I'm innocent and it can get me out. There's no way any of the proponents of AI would take on that I would argue.   0:21:23.3 JS: Yeah. Well, it's interesting. I very recently had to write an affidavit and my lawyer was being a little slow on it, so I tried ChatGPT just for the heck of it and I created what I thought was pretty convincing. I gave it the facts and it gave a pretty convincing sounding affidavit, but then the lawyer did it and I saw what she did and it was so much... She had it... It was almost a human touch to it. It almost looked a little less like an affidavit. It was more of a sort of a document that had some meaning to it. That was an eyeopener for me.   0:22:10.8 AS: Yeah. Yeah. Interesting.   0:22:13.6 JS: But anyway, yeah, I'm wondering if we could jump back to automation and manufacturing because there's a story I wanted to share with you about some of the followers here of Toyota and, of course, company that's strongly dedicated to Deming's principles as well. And this is a company called Parker Hannifin. And what they do, and this is in the Lean tradition, is they're very conservative about adopting robots or any kind of automation. And they realize, when you bring in robots, you're bringing in software, you have to upgrade the software, you have to maintain it, you gotta train people, there's a risk of obsolescence or whatever, there's all that risk. So you really wanna be very, very careful. So what they do at Parker is you have to, but if you're gonna present a business case for a robot, you gotta be able to show that that's the only way that you can get the improvements you want.   0:23:22.3 JS: And by the way, you gotta have a target. You don't just say I wanna automate this, you say I wanna make this process better, here's how. So I got an example from Stephen Moore who's... He's retired now, but he was the VP I think of operations. So he was certainly the top person in terms of all the Lean initiatives that they did. But he told me and gave me an example. He said that somebody came to them, they had a cell with three people and they wanted to use the robot, one, so that they could reduce from three to two because they needed another person in another area. And secondly, there was a safety problem with that cell with loading and unloading the machines. So they came to Stephen and Stephen said, okay, let's divide our team into two groups. One group can sort out, plan the robotic implementation, how it's going to be done. The other group is gonna see if they can achieve the same objectives without a robot. So by the end of the week, the team that was without the robot team was able to achieve both objectives. They were able to reduce it down to two people and they solved the safety problem over the loading. So just by thinking it out by really going deeply into the process, they were able to do everything that people expected the automation to do.   0:24:58.3 JS: So that is a philosophy, I think is a lesson I think to anybody that's automating. 'Cause remember, we've got lots of companies that are just thinking about replacing people, whereas Parker Hannifin is talking about increasing the value of processes. They're concerned about safety here as well as headcount. And very often, they're looking at processes to improve the quality. So we've gotta look with a broader lens.   0:25:29.1 AS: That's fascinating. And for those people that don't know Parker Hannifin, I had mentioned before that was one of my father's big accounts when he was working in DuPont in the old days.   0:25:37.4 JS: Oh yeah.   0:25:38.4 AS: He was living in Cleveland. We were living... I grew up near Cleveland. But Parker Hannifin is about a $77 billion company. It's got a net profit margin of 14% versus the industry average of about 11%, which is already pretty high. And that's pretty impressive. But what's really impressive about Parker Hannifin is that it is the 11th most... If you look at all companies in America and you ask them which has been consecutively producing dividends since 1957, so about 66 years, Parker Hannifin has been producing an annual dividend. And in fact, they've been increasing that dividend ever so slightly every single year for 66 years. That is a very, very impressive feat. And very few companies are out there. In fact, only 10 companies are better than that, that are listed in the stock market. So there's some fun information from a finance guy.   0:26:35.4 JS: Well, of course, and the fact they've... We talked about some of the productivity challenges in the last while and the fact that they've sustained this. We're talking post 2010 when the productivity has been slowing down, and they've clearly kept things going, which is... We've seen that with Toyota and a lot of companies that follow these principles. It's a way of sustainable growth.   0:27:03.3 AS: Yeah. One of the things about Toyota is it's so fascinating is that they're not sold on automation, they're sold on improving processes. And if automation can help that, that's impressive. That do it, but otherwise, fix the process before you automate.   0:27:21.5 JS: Absolutely. And that's again I think this isolation of operations is a sort of a black box of the corporation where people sit in the boardroom and they just say to the operations person, well, that's your problem, solve it. We don't wanna know about it. So they see things outside the box in a sort of a financial lens. I think we talked about that in myth two.   0:27:45.2 AS: Yeah.   0:27:45.8 JS: Whereas the things that go on with process actually defy financial logic. We're improving quality and productivity and timeline very often too, delivery at the same time.   0:28:03.3 AS: Yeah.   0:28:04.2 JS: 'Cause it's a better process. It's simpler, it's better and it's a powerful concept. But I think a lot of people that are not inside process or not inside operations, aren't aware of that.   0:28:17.8 AS: Yeah. So how would you sum up what you want people to take away from this discussion?   0:28:25.3 JS: Okay. Well, I think there are a few, I guess, bullet points I would emphasise. First of all, there's no question that technology has potential to help companies get significant productivity gains. But you shouldn't see it as a technology-only solution, I think again like we were saying, you have to look at it as a way of improving processes and that's where the power of it really is. I think it shouldn't be about replacing people, but it should be combining the strengths of people and the strengths of technology. I think that's where a lot of the high potential is right now. But that means you've got to know how to optimize your process. And that's what Dr. Deming, what the Lean folks all work very hard on. And I kind of think this is a time when companies maybe need to think more seriously about that. And finally, last but not least, I think one of the wonderful things about technology is you can use it to remove the dull, dangerous aspects of work and you can make the jobs more, you know, safer and more human, I guess, more friendly for human workers by using technology. So I think that's a big hope there.   0:29:55.5 AS: Well, that's a great discussion of myth number five, The Myth of Tech Omnipotence. Jacob, on behalf of everyone at the Deming Institute, I wanna thank you again for this discussion. And for listeners, remember to go to deming.org to continue your journey. You can find Jacob's book Productivity Reimagined at jacobstoller.com. This is your host, Andrew Stotz, and I'll leave you with one of my favorite quotes from Dr. Deming and I hope you're living it right now. "People are entitled to joy in work."

Tuesday has us in Louisville where we meet singer songwriter and music instructor Shannon Vetter. Songs include Love You Better, So Low and Boundaries Baby

Was kann Technologie bewirken? Dieser Frage gehen Miriam und Léa in der neuesten Episode anhand zwei konkreter Beispiele auf den Grund. Zuerst stellen die beiden unterschiedliche Prognosen über die Zukunft der KI gegenüber und diskutieren im Anschluss, warum sie immer noch glauben, dass KI immenses Potential hat. Dann geht es um die aktuelle Lage im Libanon. Die beiden erklären, wie zivile Technik zweckentfremdet und zu Waffen umfunktioniert werden kann, und wie verwundbar unsere globalen Lieferketten in der Hinsicht sind. Abschließend überrascht Miriam Léa mit einer KI, die ohne Änderungen in der Infrastruktur grüne Wellen produziert und so nicht nur den Verkehrsfluss für Autos erleichtern sondern auch die Umwelt schonen soll.

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Growth theory for EAs - reading list and summary, published by Karthik Tadepalli on September 12, 2024 on The Effective Altruism Forum. Economic growth is a unique field, because it is relevant to both the global development side of EA and the AI side of EA. Global development policy can be informed by models that offer helpful diagnostics into the drivers of growth, while growth models can also inform us about how AI progress will affect society. My friend asked me to create a growth theory reading list for an average EA who is interested in applying growth theory to EA concerns. This is my list. (It's shorter and more balanced between AI/GHD than this list) I hope it helps anyone who wants to dig into growth questions themselves. These papers require a fair amount of mathematical maturity. If you don't feel confident about your math, I encourage you to start with Jones 2016 to get a really strong grounding in the facts of growth, with some explanations in words for how growth economists think about fitting them into theories. Basics of growth These two papers cover the foundations of growth theory. They aren't strictly essential for understanding the other papers, but they're helpful and likely where you should start if you have no background in growth. Jones 2016 Sociologically, growth theory is all about finding facts that beg to be explained. For half a century, growth theory was almost singularly oriented around explaining the "Kaldor facts" of growth. These facts organize what theories are entertained, even though they cannot actually validate a theory - after all, a totally incorrect theory could arrive at the right answer by chance. In this way, growth theorists are engaged in detective work; they try to piece together the stories that make sense given the facts, making leaps when they have to. This places the facts of growth squarely in the center of theorizing, and Jones 2016 is the most comprehensive treatment of those facts, with accessible descriptions of how growth models try to represent those facts. You will notice that I recommend more than a few papers by Chad Jones in this list. That's because he is by far the best writer in the growth literature. His exposition of complex ideas and coverage of the big picture is just not matched by any other growth economist. Jones 2005 While Jones 2016 focuses on the facts of growth, Jones 2005 is an overview of the most common kind of long-run growth model - the idea-based model. Historically, economists used models like the Solow model, in which growth came from accumulating capital. But capital-based models are basically incapable of predicting sustained long-run growth. The now-canonical Romer model made a breakthrough by refocusing growth on ideas. Unlike machines, ideas are infinitely reusable. So if growth comes from creating new ideas, and ideas don't get used up, we can generate sustained long-run growth. This is another demonstration of the aesthetic of growth theory: theories are celebrated if they can match facts that economists think are important. The idea-based growth model is way too canonical to leave off this list. But I personally think it is overrated by EAs and not necessarily applicable to the issues we care about (AI or global development). I include it because working through it will help you understand the mechanics of growth models more generally, including the more complicated ones covered below. Growth theory for AI progress The growth theory that focuses on AI progress builds off the canonical growth work listed above, but with important advances from it. Few papers really apply their framework directly to AI, so it's important to try and extrapolate what the model implies about AI. The three papers below are the ones whose frameworks I think are most applicable to thinking about AI ...

George Jano & The Feels are back with two new singles, "So Low" and "Rocking Horse," offering a taste of their upcoming EP Under the Sun Vol. 2. These tracks, dripping with laid-back charm and expert craftsmanship, showcase a band that's not just riding the wave of good vibes but steering it with intention and heart. --- Support this podcast: https://podcasters.spotify.com/pod/show/wewriteaboutmusic/support

Greg and Jon discuss Greg's career and main contributions to economics. This includes the development and limitations of New Keynesian models in the 1980s and 1990s as a tool for central banks to understand how the macroeconomy works. Jon and Greg also discuss economic growth, growth accounting and the Solow model. They conclude by talking about Greg's time in government, including his time leading the White House Council of Economic Advisors under President George W. Bush as well as Greg's advocacy for carbon taxes. ABOUT THE SPEAKERS: Gregory Mankiw is the Robert M. Beren Professor of Economics at Harvard University. As a student, he studied economics at Princeton University and MIT. As a teacher, he has taught macroeconomics, microeconomics, statistics, and principles of economics. He even spent one summer long ago as a sailing instructor on Long Beach Island. Professor Mankiw is a prolific writer and a regular participant in academic and policy debates. His research includes work on price adjustment, consumer behavior, financial markets, monetary and fiscal policy, and economic growth. His published articles have appeared in academic journals, such as the American Economic Review, Journal of Political Economy, and Quarterly Journal of Economics, and in more widely accessible forums, such as The New York Times, The Washington Post, and The Wall Street Journal. He has written two popular textbooks—the intermediate-level textbook Macroeconomics (Worth Publishers) and the introductory textbook Principles of Economics (Cengage Learning). Principles of Economics has sold over two million copies and has been translated into twenty languages. In addition to his teaching, research, and writing, Professor Mankiw has been a research associate of the National Bureau of Economic Research, an adviser to the Congressional Budget Office and the Federal Reserve Banks of Boston and New York, and a member of the ETS test development committee for the advanced placement exam in economics. From 2003 to 2005 he served as Chairman of the President's Council of Economic Advisers. Professor Mankiw lives in Boston with his wife, Deborah. They have three adult children. Jon Hartley is a Research Associate at the Hoover Institution and an PhD candidate in economics at Stanford University, where he specializes in finance, labor economics, and macroeconomics. He is also currently a research fellow at the Foundation for Research on Equal Opportunity and a senior fellow at the Macdonald-Laurier Institute. Jon is also a member of the Canadian Group of Economists and serves as chair of the Economic Club of Miami. Jon has previously worked at Goldman Sachs Asset Management as well as in various policy roles at the World Bank, the International Monetaty Fund, the Committee on Capital Markets Regulation, the US Congress Joint Economic Committee, the Federal Reserve Bank of New York, the Federal Reserve Bank of Chicago, and the Bank of Canada. Jon has also been a regular economics contributor for National Review Online, Forbes, and the Huffington Post and has contributed to the Wall Street Journal, the  New York Times, USA Today, the Globe and Mail, the National Post, and the Toronto Star among other outlets. Jon has also appeared on CNBC, Fox Business, Fox News, Bloomberg, and NBC and was named to the 2017 Forbes 30 under 30 Law & Policy list and the 2017 Wharton 40 under 40 list, and was previously a World Economic Forum Global Shaper.

Sprawdź ile przepłacasz i odbierz 100 zł pod tym linkiem: ⁠⁠⁠http://mubi.pl/bonus-zurnalista-2

Multifamily sales are at the lowest point in the past four years. We haven't seen transaction levels this low since the start of the pandemic and after the last housing crash. But, for buyers, this could point to some tremendous opportunities. With fewer sales could come higher cap rates, lower prices, and more profit per dollar spent on your next multifamily deal. The question is, how low will prices go, and when WILL be the right time to buy? Xander Snyder, Senior Commercial Real Estate Economist at First American, joins the show to give us the latest update on multifamily sales, prices, cap rates, and even a prediction for 2025. Xander strongly argues that multifamily price declines could be far from over. With buyers patiently waiting for sellers to drop their prices and the cost of capital still so high, motivated sellers must act quickly to get a buyer, which could mean more price cuts. We'll also discuss why cap rates are expanding and how they've already jumped fifty percent in some markets. Plus, what could happen to rents as the “oversupply” of multifamily investments hits the market? An even better question is what happens when all that supply gets used up? We're answering it all in this episode. In This Episode We Cover 2024 multifamily transaction volume updates and why sales are so low Cap rate expansion and why this is great news for buyers (but NOT for sellers) Why multifamily price drops aren't even close to finished Rent price growth predictions and why multifamily investors shouldn't be too sure that they can increase rents How our multifamily “oversupply” could quickly become an undersupply  What to expect from the multifamily market in 2024 and into 2025 (significant changes!) And So Much More! Links from the Show Find an Agent Find a Lender BiggerPockets Forums BiggerPockets Agent BiggerPockets Bootcamps Join BiggerPockets for FREE On The Market Join the Future of Real Estate Investing with Fundrise Connect with Other Investors in the “On The Market” Forums Subscribe to The “On The Market” YouTube Channel Dave's BiggerPockets Profile  Dave's Instagram Property Manager Finder See Dave at BPCON2024 in Cancun! Multifamily Is Likely To Start Recovering in 2024—Here's Why Follow Xander on X Why Apartment Rents are Poised to Decline in Former Pandemic Hot Spots (Graph) Jump to topic: (00:00) Intro (01:03) Multifamily Transactions at Rock-Bottom (04:34) Why Volume is So Low (06:29) Buyers Are Waiting for This (08:38) Cap Rates Expand  (13:53) Investors Will Have to Wait (14:57) Will Prices Keep Declining?  (17:38) Multifamily Rent Forecast (19:36) The "Oversupply" Could Flip (23:26) 2025 Predictions  Check out more resources from this show on BiggerPockets.com and  https://www.biggerpockets.com/blog/on-the-market-226 Interested in learning more about today's sponsors or becoming a BiggerPockets partner yourself? Email advertise@biggerpockets.com. Learn more about your ad choices. Visit megaphone.fm/adchoices

Tim “The Red Hawk” Welch is joined by UFC Middleweight Jared Cannonier and the vet, Joe "Diesel" Riggs. The boys look back at a critical mistake made by Jason Herzog at Jared's fight this past weekend vs Nassourdine Imavov. They also broke down some exciting Middleweight action on the horizon: Whittaker vs Khamzat and Adesanya vs Dricus Du Plessis. Jared shares some health tips, insight on how he beat Sean Strickland, and more!Weekly Newsletter!https://timwelch.substack.com/Confidential Podcast!https://www.patreon.com/redhawkacademyTimestamps:0:00 Welcome Jared and Joe!0:59 Terrible Stoppage in Jared's Fight vs Imavov5:12 Whittaker vs Khamzat Breakdown6:34 Strickland vs Costa/How Jared Beat Strickland7:45 Jared Never Hurts People in Training 8:50 Jake Paul vs Mike Perry Breakdown9:18 Cannonier vs Imavov Breakdown14:42 Naval Ravikant Clip Reaction (What is True Intelligence)17:32 Our Attention Spans are SO Low 18:15 Tim Can't Stop Surfin'19:26 Jared Homeschools His Kids22:52 The Challenges of Homeschooling Your Kids24:53 Why You Need to Take Care of Your Body26:24 Jared Used to Way 300 lbs27:19 The Importance of 8 Hours of Sleep28:49 Joe's Dad Has Purple Feet? 29:53 What was Jared's Childhood Like?30:34 How is Riggs' Diet Coming Along? 31:14 You Will Lose Friends When You Are Successful 31:47 Should You Cut Out Toxic People Form Your Life?33:20 Why You Shouldn't Read Negative Stuff Online34:10 Jared's Crystals 34:41 Jared's Meditation Practices35:52 Tim is Struggling with Surfin' Pt. 236:55 Jared Has 18 Chickens37:45 The Herbs is a Meditation Hack?38:09 Tim's Chicken's Update38:35 It Takes a LONG Time to Be Successful 39:12 Does Jared Still Enjoy Training? 41:23 How to Have a Successful Relationship 43:07 What is True Wealth?43:57 How to Handle Criticism 44:57 How to Determine a Successful Day45:21 Jared and Joe are SWEATY46:11 Apple's INSANE New AI Technology 47:27 Jared is Coaching at the MMA Lab48:16 Joe and Tim's House Flipping Business Update48:51 Jared's Outside of the Cage Investments49:54 Jared's Recovery Routine50:55 Joe is VERY SWEATY on the Pod52:03 Joe's Plan for the Rest of the Day52:30 Izzy vs DDP PREDICTIONS54:34 Tim's Been Watching Film on Merab56:08 Joe Takes a Dip in the Cold PlungeAdvertising Inquiries: https://redcircle.com/brands

En marge des discours sur l'Homme augmenté par l'IA, une autre question se pose : le numérique fait-il de nous des grosses feignasses ?

 I've been in the cleaning business for 17 years. I was a solo cleaner for 15 of those 17 years. As I was first exploring the cleaning groups in 2016, I got the impression that solo was viewed as "so low". We are just trunk slammers that buy our cleaning supplies at Walmart and advertise our services on the laundry mat tack board. We are amateurs without any real knowledge of how to run a business. In fact, we aren't real businesses at all. We have cleaning jobs and yet we say that we own a company. A solo cleaner is thus a lowly title to many. If this is you, you're not alone. There are over 50,000 new cleaning companies entering the industry each year right now. In all likelihood, probably 40,000 or 80% are new solos. There are definitely companies that start with the intention to build teams from the onset as well. My point is that we are an army and for the most part feel like we're alone and the minority. We really feel like we're below the other companies. We are SO LOW cleaners. Do you relate? I know you do because I surveyed over 100 solo cleaners in 2019. I found the top struggles then to be #1 lack of money & time, #2 loneliness, and #3 feeling so low.This was tough for me too. I was a highly educated mechanical engineer and part of the corporate leadership team at one of the biggest companies in the world from 2000-2005. I seemed to have it all from the outside. But I wasn't happy. I felt so low there. This caused mild depression and ultimately lead us to start our first side-gig businesses. A few years later, I was fired from my engineering job and fought each day to put scraps on the table and drops in the gas tank to survive through a new job of cleaning houses for a profession. I was embarrassed. I felt so low and I was. My friends from high school and college were buying houses and I was barely able to afford rent. My friends were becoming managers in their companies and I was cleaning toilets. I even ran into old work colleagues looking for house cleaners. I felt so low. Why would I go through this? Why would I sacrifice the prestige of the corporate life for the so low life?The answer is simple. I wanted freedom. If you're listening to this podcast and you feel like I did. You have a really good job by the world standards. Your family is proud of you, just like my grandparents and parents would brag about their son and grandson working for GE in his big time job. But if you're also like me with all of that status and accomplishment you feel trapped. You don't know what you want to do, but it's not what you're doing now. That was me. I never knew I would ever in a million years end up in the cleaning industry. But I did. I went from an engineer to a solo cleaner. There wasn't a lot of money in the solo cleaning business in the beginning. I tried to go back to my engineering degree a couple times with no success. Even though my income was about half as much as my corporate job, I had something I didn't have before. Choices. My children were young and I didn't have to go to work at 8:00, 5 days a week, bring my laptop home and do more at home. I didn't have to think about the job on nights and weekends. I didn't have to ask for time off. I called the shots. I made my own choices as to when I wanted to work and which jobs I wanted to take. I traded income and status for a small dose of freedom. Was it really so low? Not at all. As I started gaining more choices and freedom and income, I started feeling more hope and excitement on the potential of this solo business that wasn't so low anymore. I stopped caring what others in my family thought of what I was doing for income after nearly completing a masters degree in mechanical engineering.Read the rest of this article at the Smart Cleaning School website

David Henderson is a research fellow at Stanford University's Hoover Institution and the editor of the Concise Encyclopedia of Economics. He is also an emeritus professor of economics with the Naval Postgraduate School. Today, we talk about another famous economist who has recently passed, Robert Solow. Henderson tells us about the Solow model, a still relevant model used in macroeconomics relating to economic growth, and we discuss its origin and its flaws. He talks to us about Solow's career, his reputation, and his attitude (Solow had a career-long grudge against Milton Friedman). Henderson leads us on a multi-media experience, where he reads us quotes from a book containing and interview of Solow about Friedman, and you can listen to it here, on the podcast!Never miss another AdamSmithWorks update.Follow us on Facebook, Twitter, and Instagram.

David Henderson is a research fellow at Stanford University's Hoover Institution and the editor of the Concise Encyclopedia of Economics. He is also an emeritus professor of economics with the Naval Postgraduate School. Today, we talk about another famous economist who has recently passed, Robert Solow. Henderson tells us about the Solow model, a still relevant model used in macroeconomics relating to economic growth, and we discuss its origin and its flaws. He talks to us about Solow's career, his reputation, and his attitude (Solow had a career-long grudge against Milton Friedman). Henderson leads us on a multi-media experience, where he reads us quotes from a book containing and interview of Solow about Friedman, and you can listen to it here, on the podcast!Never miss another AdamSmithWorks update.Follow us on Facebook, Twitter, and Instagram.

Purchasing a home, whether it be your first property, an upgrade to a larger home, or downsizing to a smaller home, can be very stressful. However, working with professionals throughout the process makes it easier and more bearable. There is help along the way in the form of organizers, stagers, photographers, and real estate agents, but what about after the contract is signed and the home is yours? This is when it can be helpful to utilize the services of an interior designer.   This week, I'm joined by Mara Solow of Mara Solow Interiors, a designer known for her meticulous attention to detail and innate sense of scale and proportion, both of which enable her to create casual yet sophisticated timeless interiors. She's here to talk more about the value that working with an interior designer can bring. Find out why the work of an interior designer is so much more than choosing pretty furniture and Mara's advice to anybody hiring a designer for their home.   Get full show notes and more information here: https://harrietlibovhomes.com/43

Hvordan kommer AI til at påvirke webudvikling og programmering? DataSnak har sat Peter Solow i stævne til en snak om fremtiden for IT-arbejdet. Er AI godt eller dårligt for dig som arbejder professionelt med IT? Tiprunder: Adam: Dublin Jeppe: En smal bro over afgrunden  Peter: The Storm Is Upon Us by Mike Rothschild   Praktisk Husk at du kan blive medlem af vores Discord-server på https://discord.gg/QJeXHAQNjF DataSnak har fokus på it-faglige og it-politiske emner, og nørder igennem med alt fra automatisering over sikkerhed til uddannelse i den digitale verden. Podcasten behandler også SAMDATAHKs relevante aktiviteter såsom kurser, faglige initiativer, kommunikation og værktøjer og tilbud, som man kan få, når man er it-medlem i HK. Formål er at gøre lytterne klogere på hvad der sker i deres arbejdsliv her og nu og i fremtiden, og gå i dybden med problemstillinger fra it-professionelles hverdag. Tovholderen på podcasten er it-faglig konsulent Jeppe Engell. Den anden vært er Adam Bindslev. DataSnak udkommer hveranden mandag. Tak fordi du lytter med! Får du lyst til at komme med ris og ros, kan du sende en e-mail til jeppe.engell@hk.dk - og hvis du har tekniske spørgsmål eller kommentarer kan de sendes til adambindslev@gmail.com

Economic giant Robert Solow died in December 2023. He was a Nobel laureate, and four of his PhD students went on to also receive the Nobel. He is known for the growth model named in his honor.  Garett Jones of GMU joins Bob to discuss the work of Solow, focusing on the possible tension between the Solow model's conclusions about capital accumulation vis-à-vis the Austrian School. Join Tom DiLorenzo, Joe Salerno, and Patrick Newman in Tampa on February 17: Mises.org/Tampa2024Use code "Action24" for 15% off admission.   Human Action Podcast listeners can get a free copy of Murray Rothbard's Anatomy of the State: Mises.org/HAPodFree]]>

Economic giant Robert Solow died in December 2023. He was a Nobel laureate, and four of his PhD students went on to also receive the Nobel. He is known for the growth model named in his honor. Garett Jones of GMU joins Bob to discuss the work of Solow, focusing on the possible tension between the Solow model's conclusions about capital accumulation vis-à-vis the Austrian School. Join Tom DiLorenzo, Joe Salerno, and Patrick Newman in Tampa on February 17: Mises.org/Tampa2024Use code "Action24" for 15% off admission. Human Action Podcast listeners can get a free copy of Murray Rothbard's Anatomy of the State: Mises.org/HAPodFree

Economic giant Robert Solow died in December 2023. He was a Nobel laureate, and four of his PhD students went on to also receive the Nobel. He is known for the growth model named in his honor. Garett Jones of GMU joins Bob to discuss the work of Solow, focusing on the possible tension between the Solow model's conclusions about capital accumulation vis-à-vis the Austrian School. Join Tom DiLorenzo, Joe Salerno, and Patrick Newman in Tampa on February 17: Mises.org/Tampa2024Use code "Action24" for 15% off admission. Human Action Podcast listeners can get a free copy of Murray Rothbard's Anatomy of the State: Mises.org/HAPodFree

Economic giant Robert Solow died in December 2023. He was a Nobel laureate, and four of his PhD students went on to also receive the Nobel. He is known for the growth model named in his honor. Garett Jones of GMU joins Bob to discuss the work of Solow, focusing on the possible tension between the Solow model's conclusions about capital accumulation vis-à-vis the Austrian School. Join Tom DiLorenzo, Joe Salerno, and Patrick Newman in Tampa on February 17: Mises.org/Tampa2024Use code "Action24" for 15% off admission. Human Action Podcast listeners can get a free copy of Murray Rothbard's Anatomy of the State: Mises.org/HAPodFree

Economic giant Robert Solow died in December 2023. He was a Nobel laureate, and four of his PhD students went on to also receive the Nobel. He is known for the growth model named in his honor. Garett Jones of GMU joins Bob to discuss the work of Solow, focusing on the possible tension between the Solow model's conclusions about capital accumulation vis-à-vis the Austrian School. Join Tom DiLorenzo, Joe Salerno, and Patrick Newman in Tampa on February 17: Mises.org/Tampa2024Use code "Action24" for 15% off admission. Human Action Podcast listeners can get a free copy of Murray Rothbard's Anatomy of the State: Mises.org/HAPodFree

Economic giant Robert Solow died in December 2023. He was a Nobel laureate, and four of his PhD students went on to also receive the Nobel. He is known for the growth model named in his honor. Garett Jones of GMU joins Bob to discuss the work of Solow, focusing on the possible tension between the Solow model's conclusions about capital accumulation vis-à-vis the Austrian School.

Economic giant Robert Solow died in December 2023. He was a Nobel laureate, and four of his PhD students went on to also receive the Nobel. He is known for the growth model named in his honor. Garett Jones of GMU joins Bob to discuss the work of Solow, focusing on the possible tension between the Solow model's conclusions about capital accumulation vis-à-vis the Austrian School. Join Tom DiLorenzo, Joe Salerno, and Patrick Newman in Tampa on February 17: Mises.org/Tampa2024Use code "Action24" for 15% off admission. Human Action Podcast listeners can get a free copy of Murray Rothbard's Anatomy of the State: Mises.org/HAPodFree

Economic giant Robert Solow died in December 2023. He was a Nobel laureate, and four of his PhD students went on to also receive the Nobel. He is known for the growth model named in his honor. Garett Jones of GMU joins Bob to discuss the work of Solow, focusing on the possible tension between the Solow model's conclusions about capital accumulation vis-à-vis the Austrian School. Join Tom DiLorenzo, Joe Salerno, and Patrick Newman in Tampa on February 17: Mises.org/Tampa2024Use code "Action24" for 15% off admission. Human Action Podcast listeners can get a free copy of Murray Rothbard's Anatomy of the State: Mises.org/HAPodFree

The One About: Curriculum Champions vs. the Teacher Defenders with Kata Solow“Right now, the Curriculum Champions are winning politically. But if they're going to succeed in the classroom, they need to win over teachers on the ground. This piece is about how to do that.” – Kata SolowArticle:Comprehensive Reading Curricula and Teacher Expertise: We Don't Have to ChooseNovember 30, 2023 by Kata Solowhttps://www.shankerinstitute.org/blog/comprehensive-reading-curricula-and-teacher-expertise-we-dont-have-chooseKata Solow Bio:Kata Solow is the Executive Director of the Goyen Foundation where she led its multi-year transformation process and created the Goyen Literacy Fellowship to recognize exceptional reading teachers. She is a former classroom educator, school administrator and field organizer.Goyen Foundation Website:https://www.goyen.io/Support the showThe Literacy View is an engaging and inclusive platform encouraging respectful discussion and debate about current issues in education. Co-hosts Faith Borkowsky and Judy Boksner coach teachers, teach children to read, and hold master's degrees in education.Our goal is to leave listeners thinking about the issues and drawing their own conclusions.Get ready for the most THOUGHT-PROVOKING AND DELICIOUSLY ENTERTAINING education podcast!

This is the sixth and final episode in the special 2023 Symposium Edition Podcast of STLR Conversations. We are sharing the recordings of our Symposium titled “Accountability and Liability in Generative AI: Challenges and Perspectives."   Author: Alicia Solow-Niederman, Associate Professor of Law, The George Washington University Law School Commentator: Shyamkrishna Balganesh, Sol Goldman Professor of Law, Columbia Law School Moderator: Matthew Tracy, Columbia Law School, J.D. '24   A link to slides will be posted here when available.

We had the pleasure of interviewing Will Swinton over Zoom video!Auckland singer-songwriter Will Swinton recently released his new EP, Better Days, via 10K Projects/Capitol Records. Raw and stripped-back, the release is elevated by the 22-year-old's gravelly, soulful delivery as he lays out his thoughts and feelings over lush, rapturous compositions that mix and meld a dizzying array of elements and influences—showcasing a poise and presence well beyond his years. To complement the EP Will Swinton releases a captivating visual to the title-track which finds Will hanging with his friends in New Zealand.On the EP Will Swinton says, “Better Days is a journey through past mistakes, lessons learned, and moving on. I'm really starting to develop my sound, and I'm excited to share this EP and all the upcoming music I've made.” Better Days is started off with “So Low,” a palm-muted crowd-pleaser with a momentum that sneaks up on you. It's followed by “Go Wrong,” a mournful look back at romance gone awry. Showcasing Swinton's mumble rap-inspired delivery, the ethereal anthem is as surprising as it is touching. Also included is “All for You,” a gentle folk-pop that will surely get hearts pitter-pattering at concerts and “Wasted You,” a tender love letter to someone special built around gentle guitar plucking.Other highlights include “Missing You,” and of course the somber title-track “Better Days.” His latest single “Leave in the Morning” is included in the EP too and features a raw visual depicting the essence of love's vulnerability and desire to hold on.The EP arrives amid a flurry of excitement for the up-and-comer, who Rolling Stone is already celebrating. Not long ago, Swinton withdrew his savings and flew to Los Angeles from Auckland to chase a dream. He wound up sticking around. In 2022, his very first independent single “All For You” cracked the Top 10 of the Hot 20 New Zealand Singles Chart, while “Wasted You” and “Leave In The Morning” landed in the Top 15.Thus far, he has tallied north of 100 million views on TikTok. Beyond collaborating with the likes of Claire Rosinkranz and finding a fan in MGK, he has performed everywhere from SXSW in Austin, TX to The Great Escape in Brighton, UK, and Primavera in Barcelona, Spain and a sold out a hometown show in New Zealand. Now, with Better Days, Swinton carves out a special place for himself in the music world, one which will soon be a much-sought-after destination.We want to hear from you! Please email Hello@BringinitBackwards.comwww.BringinitBackwards.com#podcast #interview #bringinbackpod #WillSwinton #BetterDays #NewMusic #ZoomListen & Subscribe to BiBhttps://www.bringinitbackwards.com/followFollow our podcast on Instagram and Twitter! https://www.facebook.com/groups/bringinbackpodThis show is part of the Spreaker Prime Network, if you are interested in advertising on this podcast, contact us at https://www.spreaker.com/show/4972373/advertisement

Today, Hunter is once again joined by two amazing advocates from Partners for Justice. Rebecca Solow, Founder and Co-Executive Director, and Vichal Kumar, Director of Capacity Building, join us today to discuss the amazing progress of their partnerships with state and local public defender offices around the country. The best part of these Partners for Justice programs is the way they build the capacity of Public Defense by responding to the individual needs of each office and jurisdiction. From California, Missouri, Kansas, and Cook County, Partners For Justice is a leader in finding innovative, cost effective ways to create better, more vibrant public defender offices.   Guests: Rebecca Solow, Founder and Co-Executive Director, Partners for Justice Vichal Kumar, Director of Capacity Building, Partners for Justice   Resources: Partners for Justice https://www.partnersforjustice.org/ PFJ Twitter https://twitter.com/PFJ_USA     Contact Hunter Parnell:                                 Publicdefenseless@gmail.com  Instagram @PublicDefenselessPodcast Twitter                                                                 @PDefenselessPod www.publicdefenseless.com  Subscribe to the Patron www.patreon.com/PublicDefenselessPodcast  Donate on PayPal https://www.paypal.com/donate/?hosted_button_id=5KW7WMJWEXTAJ Donate on Stripe https://donate.stripe.com/7sI01tb2v3dwaM8cMN  

Key Insights:* The Chinese Communist Party is very like an aristocracy—or maybe it isn't…* If it is, it will in the long run have the same strong growth-retarding effects on the economy that aristocracies traditionally have…* Or maybe it won't: China today is not Europe in the 1600s…* We probably will not be able to get Noah to read Franklin Ford: Robe & Sword: The Regrouping of the French Nobility After Louis XIV to dive more deeply into analogies & contrasts…* Southeast Asia's future is very bright because of friendshoring…* India's future is likely to be rather bright too—it looks like a much better economic partner for the rest of the world over the next two generations than does China…* You can get pretty far by just massively forcing your society to build lots and lots and lots of capital…* Especially if you have an outside country you can point to and say “give me one—or five—of those!”…* But quantity of investment has a quality of its own only so far…* We think of technology as the hard stuff…* But actually the hard stuff is institutions, property rights, government—people actually doing what they said they would do, rather than exerting their social power to welsh on their commitments…* We are surprised and amazed at China's technological excellence in electric vehicles, in battery and solar technology, in high-speed rail, and so forth…* But those are relatively small slices of what a truly prosperous economy needs…* For everything else, we have reason to fear that the logics of soft budget constraints and authoritarian systems are not things China will be able to evade indefinitely…* Is that a middle-income trap? It certainly functions like one…* Hexapodia!References:* Brad DeLong: DRAFT: What Is Going on wiþ China's Economy?:* Daniel W. Drezner: The End of the Rise of China? * Daniel W. Drezner: The Rising Dangers of a Falling China* Daniel W. Drezner: Can U.S. Domestic Politics Cope With a Falling China?* Arpit Gupta: What's Going on with China's Stagnation? * János Kornai, Eric Maskin, & Gérard Roland: Understanding the Soft Budget Constraint * Adam S. Posen: The End of China's Economic Miracle * Kenneth Rogoff: The Debt Supercycle Comes to China * Noah Smith: Real estate is China's economic Achilles heel* Noah Smith: Why is China smashing its tech industry? * Adam Tooze: Whither China? Part I - Authoritarian impasse? * Adam Tooze: Whither China? Part II - Posen v. Pettis or "authoritarian impasse" v. "structural dead-end” * Adam Tooze: Whither China? Part III: Policy hubris and the end of infallibility * Lingling Wei & Stella Yifan Xie: China's 40-Year Boom Is Over. What Comes Next? +, of course:* Vernor Vinge: A Fire Upon the Deep  Get full access to Brad DeLong's Grasping Reality at braddelong.substack.com/subscribe

More information about Brain Lenses at brainlenses.com.BL supporters receive an additional episode of the show each week. Info about becoming a supporter at the above address, or at Understandary.com.Read the written version of this episode: This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit brainlenses.substack.com/subscribe

The Newbies love their slow Saturday mornings to sip coffee and discuss all things Bach related and much more!  With Zach's season being SO LOW in drama, the Newbies tend to ramble about plenty of adjacent topics. Leane finally learns what raw-doggin' it means; Claire and Phoebe learn which books are in the Top 25 of 2022; the trials of carpet beetles; will the younger generation stop getting married?; and more! On the Bachelor front, the Newbies spend a lot of time talking about Zach's chest hair, the manufactured drama between Kaylee and Anastasia, and who they think will make it to the Final Four and more! Here's to LOVE!!! Rate and review us wherever you listen!! 

 I've been in the cleaning business for 17 years. I was a solo cleaner for 15 of those 17 years. As I was first exploring the cleaning groups in 2016, I got the impression that solo was viewed as "so low". We are just trunk slammers that buy our cleaning supplies at Walmart and advertise our services on the laundry mat tack board. We are amateurs without any real knowledge of how to run a business. In fact, we aren't real businesses at all. We have cleaning jobs and yet we say that we own a company. A solo cleaner is thus a lowly title to many. If this is you, you're not alone. There are over 50,000 new cleaning companies entering the industry each year right now. In all likelihood, probably 40,000 or 80% are new solos. There are definitely companies that start with the intention to build teams from the onset as well. My point is that we are an army and for the most part feel like we're alone and the minority. We really feel like we're below the other companies. We are SO LOW cleaners. Do you relate? I know you do because I surveyed over 100 solo cleaners in 2019. I found the top struggles then to be #1 lack of money & time, #2 loneliness, and #3 feeling so low.  This was tough for me too. I was a highly educated mechanical engineer and part of the corporate leadership team at one of the biggest companies in the world from 2000-2005. I seemed to have it all from the outside. But I wasn't happy. I felt so low there. This caused mild depression and ultimately lead us to start our first side-gig businesses. A few years later, I was fired from my engineering job and fought each day to put scraps on the table and drops in the gas tank to survive through a new job of cleaning houses for a profession. I was embarrassed. I felt so low and I was. My friends from high school and college were buying houses and I was barely able to afford rent. My friends were becoming managers in their companies and I was cleaning toilets. I even ran into old work colleagues looking for house cleaners. I felt so low. Why would I go through this? Why would I sacrifice the prestige of the corporate life for the so low life?The answer is simple. I wanted freedom. If you're listening to this podcast and you feel like I did. You have a really good job by the world standards. Your family is proud of you, just like my grandparents and parents would brag about their son and grandson working for GE in his big time job. But if you're also like me with all of that status and accomplishment you feel trapped. You don't know what you want to do, but it's not what you're doing now. That was me. I never knew I would ever in a million years end up in the cleaning industry. But I did. I went from an engineer to a solo cleaner. There wasn't a lot of money in the solo cleaning business in the beginning. I tried to go back to my engineering degree a couple times with no success. Even though my income was about half as much as my corporate job, I had something I didn't have before. Choices. My children were young and I didn't have to go to work at 8:00, 5 days a week, bring my laptop home and do more at home. I didn't have to think about the job on nights and weekends. I didn't have to ask for time off. I called the shots. I made my own choices as to when I wanted to work and which jobs I wanted to take. I traded income and status for a small dose of freedom. Was it really so low? Not at all. As I started gaining more choices and freedom and income, I started feeling more hope and excitement on the potential of this solo business that wasn't so low anymore. I stopped caring what others in my family thought of what I was doing for income after nearly completing a masters degree in mechanical engineering.Read the rest of this article at the Smart Cleaning School website

Have you ever seen an offer SO LOW in price that you could not pass it up? Welcome to the Black Friday effect. At first you may think you got a great deal, but the truth is that most people don't even open up a Black Friday mini-course, bundle or offer at all. Just the act of buying it seems to be enough to make us feel like we took action. So, are Black Friday offers a good deal or just a distraction? I'm in the business of developing amazing coaches who are empowered to make smart decisions with their investments. And I don't think that spending even a penny for something you'll never use is a good investment. So in this episode I will give you the gift of X-RAY vision so you can look right through other people's Black Friday offers, and you can learn what it takes to create a great offer yourself and also not let yourself be taken for a ride whenever this commercial holiday comes along. And on this episode, our focus will be on: 3 traits of an irresistible Black Friday offer, and 3 things you can do to not get carried away by them.   Episode links: GET CLIENTS FIRST 30 Days : 30 Leads Lead Generation Bundle (DM me the word "bundle" to get it half off!) Master Genuine Conversations Online Access the FULL LENGTH interviews with all your favorite online coaches for FREE by requesting access to The Global Phenomenon Podcast UNCUT VAULT! Get access right now! Go to: theglobalphenomenon.com/uncut   Watch the video version of the podcast on The Global Phenomenon YouTube channel Follow me on Instagram Contact our team at: info@theglobalphenomenon.com Credits: Music by Jared Lebel Photo by Mira Whiting Photography

The boys run solo for the first couple of segments and talk about going So-Low with Stroker Lotion and then Mark Parrish joins for Dual Of The Decades.