Podcasts about Azeem

At the peak of his movie stardom and in the wake of having just won several Oscars for Best Picture-winner Dances With Wolves which he both starred in and directed, Kevin Costner (Yellowstone, Bull Durham, JFK) took on the iconic role of Robin of Locksley for his next major project.  He partnered with long-time friend and director Kevin Reynolds (Waterworld, The Count of Monte Cristo) to spearhead this this new adaptation of an iconic story, while also filling key roles with several prominent stars of the time including Oscar-winner Morgan Freeman as Azeem, Christian Slater as Will Scarlett, Mary Elizabeth Mastrantonio as Marian, and most importantly at the time.....Alan Rickman (Die Hard) as the Sheriff of Nottingham.  What resulted was a very rushed, messy production where several roles ended up being miscast (including California-native Costner as the British Robin) and where the villain pretty much stole the show.  And yet when released in June of 1991, this film was a MASSIVE hit (much of that due to Costner's stardom) with several iconic scenes and a best-selling soundtrack.  In fact, this would go to be the ONLY genuinely successful on-screen adaptation of the Robin Legend since then.....so did it actually work, does it hold up?  Well only one way to find out....and remember that before you embark on this review: No blades! No bows! Leave your weapons here! Host & Editor: Geoff GershonProducer: Marlene Gershon Send us Fan MailSupport the showhttps://livingforthecinema.com/Facebook:https://www.facebook.com/Living-for-the-Cinema-Podcast-101167838847578Instagram:https://www.instagram.com/livingforthecinema/Letterboxd:https://letterboxd.com/Living4Cinema/ 

“Locksley! I'm going to cut your heart out with a spoon!” Join Ian, Liam, Kev & Debbie for our 335th episode as we celebrate the 35th anniversary of Robin Hood: Prince of Thieves (1991). Grab your bow, avoid the Sheriff's dinner invitations, and prepare for a film packed with accents of varying legality, spoon-based violence, and enough Alan Rickman scenery-chewing to feed Nottingham for a winter. Megs isn't with us this week — she was scheduled to record, but unfortunately entered an archery tournament disguised as a peasant and is currently hiding from the Sheriff's tax collectors. This week we discuss: Kevin Costner's Robin Hood — movie star charisma, questionable accent, and whether audiences have ever really cared. Alan Rickman's Sheriff of Nottingham — one of cinema's great villains. Does he completely hijack the film from everyone around him? Morgan Freeman's Azeem — wisdom, dignity, and why he often feels like the smartest person in every scene. The 1991 blockbuster formula — action, romance, comedy, spectacle. Is this the perfect example of a film designed to entertain first and ask questions later? Ian explores the film's historical accuracy — or more accurately, the complete lack of concern anyone involved seems to have had about it. Liam questions whether the film is secretly two films at once — a sincere Robin Hood adventure and a dark comedy starring Alan Rickman. Kev dives into the action sequences — archery, sword fights, castle assaults, and how well they hold up three and a half decades later. Debbie weighs in on the romance — does Robin and Marian's relationship actually work, or is it simply required by law in a Robin Hood movie? The supporting cast — Michael Wincott, Mary Elizabeth Mastrantonio, Christian Slater, and one very famous cameo that audiences still cheer for. The accent debate — does Costner's performance improve if you simply accept that nobody in this film comes from the same county, let alone country? The “show vs tell” balance — does the film earn its emotional moments, or rely on Bryan Adams to do the heavy lifting? The ending — triumphant, excessive, and unapologetically crowd-pleasing. Is this blockbuster filmmaking at its purest? And finally, whether Robin Hood: Prince of Thieves is the Best Film Ever — or simply one of the most entertaining adventure films of the 1990s. Become a Patron of this podcast and support the BFE at https://www.patreon.com/BFE We are very thankful to the following Patreon backers for their generous support: Juleen from It Goes Down In The PM Hermes Auslander James DeGuzman Synthia Shai Bergerfroind Ariannah Who Loves BFE The Most Paul Komoroski Duane Smith (Duane Smith!) Andy Dickson Aashrey Chris Pedersen Randal Silva Nate The Great Rev Bruce Richard Ryan Kuketz Dirk Diggler Stew from the Stew World Order podcast NorfolkDomus John Humphrey's Right Foot Timmy Tim Tim Youth Hosteling with Chris Eubank Buy some BFE merch at https://my-store-b4e4d4.creator-spring.com/. Massive thanks to Lex Van Den Berghe for the use of Mistake by Luckydog. Catch more from Lex's new band, The Maids of Honor, at https://soundcloud.com/themaidsofhonor Also, massive thanks to Moonlight Social for our age game theme song. You can catch more from them at https://www.moonlightsocialmusic.com/

00:00 Welcome to Boys Club Live 00:34 On the Ground at ETHConf 05:00 Today's Guest Lineup 05:49 Amanda Cassatt (Serotonin) 06:57 Ethereum's Big Mission 10:03 Institutions vs Exit Money 12:12 Talent Drain to AI and Beyond 15:44 Marketing and What Sells Now 17:03 What Excites Amanda Next 18:22 Scott Dykstra (Space and Time) 19:40 Virtual Vaults Explained 22:27 CLARITY Act and Tokenization 26:43 Quantum Threat and ETH Outlook 28:41 Buy The Dip Banter 29:23 Azeem Khan (Miden) 33:28 Privacy Versus Compliance 35:38 Digital Assets Rebrand 36:52 Crypto Maturity Optimism 40:09 Chris Yin (Plume) 40:27 Plume RWA Vaults 42:15 Looping Yield Strategies 45:07 TradFi Culture Clash 47:25 EthCC Closing Thoughts

Today's episode is a Father's Day roundtable. Jon sits down with three Front Row Dads, Mike Chu, Scott Seymour, and Austin Distel, for an honest conversation about what it actually means to be a great dad. Before we get into it, we have a quick favor. We're working on making the podcast better for you and we'd love your feedback. If you have 2 minutes, please fill out our podcast survey here: forms.gle/JnJQUZR9Pt7d7fvG7 Now to the episode. This one isn't tactical. It's not about parenting hacks or systems. It's four men getting real about what Father's Day brings up, why self-love is the foundation of being a great dad, and the inner work most men never talk about out loud. Mike opens up about going from a man who hated himself to one who is finally proud of who he's becoming. Scott shares his journey from being suicidal to seeing himself as divine. Austin reflects on what it means to consciously prepare for fatherhood with his wife now pregnant with their first child. And Jon brings the framework he learned recently from a father whose son was murdered by a 14-year-old, and what it taught him about restorative versus punitive energy, both with others and with himself. If you've ever wondered why being a great dad feels harder than it should, this one will land. The hardest part of fatherhood isn't your kids. It's the relationship you have with yourself. What you'll hear in this conversation: → Why Father's Day brings up grief, guilt, pressure, and complexity for most dads  → The punitive vs restorative framework and how it changes how you treat yourself  → Why self-love is one of the strongest things a man can practice  → How Mike's relationship with his dad shaped a decade of self-punishment  → Scott on why your kids only do what they see  → Austin's unplanned solo trip to Panama and why play might be the highest form of self-love → The Azeem story and what restorative energy actually looks like  → What each man hopes his kids will know about themselves above everything else  → Why even lone wolves need to recharge by the pack If this conversation moves you to want to dig deeper into the books that have shaped how Front Row Dads think about fatherhood, marriage, business, and brotherhood, our community-curated book list is here: frontrowdads.com/books   Connect with the guests: Jon Vroman: instagram.com/jonvroman  Mike Chu: instagram.com/mike__chu  Scott Seymour: instagram.com/journey_of_man  Austin Distel: instagram.com/austindistel

Welcome to Exponential View, the show where I explore how exponential technologies such as AI are reshaping our future. I've been studying AI and exponential technologies at the frontier for over ten years. Each week, I share some of my analysis or speak with an expert guest to make light of a particular topic. To keep up with the Exponential transition, subscribe to this channel or to my newsletter:  https://www.exponentialview.co/ ---- Greg Williams has joined EV as Executive Editor — two years in the search. He was editor-in-chief of WIRED UK, recognized as Editor of the Year (Technology) three times, and is a five-time novelist. Introducing him to our community in this week's episode became an opportunity to redefine what EV is: why we make maps instead of stories, and where I think AI is taking institutional media. We covered: (00:10) Why Greg joined EV (04:16) The four horsemen of the media apocalypse (05:42) Google Zero (06:47) AI: collaborator or adversary? (08:48) Tools, not information (11:09) We make maps, not stories (14:18) Building for AI to consume (17:52) AI can't summarize The New Yorker Read more about why we hired Greg here: https://www.exponentialview.co/p/exponential-view-greg-williams ---- Where to find me: Exponential View newsletter: https://www.exponentialview.co/ Website: https://www.azeemazhar.com/ LinkedIn: https://www.linkedin.com/in/azeem/ Twitter/X: https://x.com/azeem Where to find Greg: https://www.uk.linkedin.com/in/greg-williams-0977a05 Production by EPIIPLUS1. Production and research: Baba Films, Chantal Smith, Marija Gavrilov. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Amardeep Parmar from Bae HQ welcomes Dr. Azeem Alam BEM, Cofounder of BiteWorld and Head of Product.Amardeep Parmar:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/amardeepsparmar⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Azeem Alam: https://www.linkedin.com/in/azeemalam/BiteWorld: https://www.biteworld.io/

“The technology we’re working with today really makes a lot of those best practices and mental models and the whole toolkit more accessible than ever to more people.” –Marshall Kirkpatrick About Marshall Kirkpatrick Marshall Kirkpatrick is founder of sustainabilty consultancy Earth Catalyst and AI thinking tool What's Up With That. His many previous roles include founder of influence network analysis tool Little Bird, which was acquired by Sprinklr, where he was last Vice President Market Research. Website: whatsupwiththat.app LinkedIn Profile: Marshall Kirkpatrick What you will learn How generative AI transforms cognitive tools and lowers barriers to advanced thinking Techniques to combine human and AI-powered sensemaking for richer insights Practical strategies for filtering and extracting value from infinite information The importance and application of diverse mental models in modern decision-making Methods to balance manual cognitive work with AI assistance for optimal outcomes The role of adaptive interfaces in enhancing individual cognitive capacity Metacognitive approaches to networks and how AI can foster organizational awareness Ethical and societal implications of democratizing access to AI-powered cognitive enhancements Episode Resources Transcript Ross Dawson: Marshall, it is awesome to have you back on the show. Marshall Kirkpatrick: Oh, thank you, Ross. It’s such a pleasure to be reconnecting with you here. Thanks for having me on. Ross Dawson: So back you were very, very early on in the podcast when it was Thriving on Overload, and it was interviews with the book, and you got incorporated—some of the wonderful things you were doing in Thriving on Overload. So I think today, in this world of generative AI, which has transformed everything, including the way in which we think, the Thriving on Overload themes are still super, super relevant, and in a way, we need to be talking about them more. That theme at the time was finite cognition, infinite information. How do we work well with it? I don’t know if our cognition has become more finite, but the information has become more infinite, and there’s just more and more. But also, it cuts two ways, as in, what is the source of all the information? AI is also a tool. So anyway, let’s segue from some of your cognitive thinking tools, technology-enabled cognitive thinking tools and so on, which we looked at. So how do you—where are we? 2026, what do you think about human cognition in our current universe? Marshall Kirkpatrick: Well, especially when you frame it up in Thriving on Overload terms. I mean, those were four, five long years ago that we last spoke, and the book that came out of it was just fantastic. I think it has some timeless qualities, and I think that the technology we’re working with today really makes a lot of those best practices and mental models and the whole toolkit more accessible than ever to more people. That’s what I hope. I think that, yeah, between individuals and organizations, there’s so much that, historically, someone like you or me or the people closest in our networks were willing and able to do and excited to do, that many other people said, “That sounds like a lot of work.” The bar is lower now, because a lot of just the raw cognitive processing can be outsourced into a technology that serves as a lever. Ross Dawson: Well, I mean, that idea of levers for these cognitive tools is interesting. I guess, the very crude way of saying it is, we’ve got inputs into our human brain, and then we are processing information. I’m just thinking out loud a bit here, but it’s like, okay, we have tools to be able to filter, to present, to find what is most relevant, to present it to us in the ways which are most useful—very obvious, like summarization, visualization. Then as we are processing it ourselves, we have dialog, or we can have interlocutors who we can engage with and be able to refine and help our thinking. Does that sort of make sense, or how would you flesh that out? Marshall Kirkpatrick: Yeah, I mean, when you put it that way, it makes me think about Harold Jarche and his Seek, Sense, Share model, right? I think that AI, especially when connected to things like search and syndication and other traditional technologies, can impact all three of those stages. It can hypercharge our search. I think the archetypal example of that, on some level, feels like the combinatorial drug research being done, where just an otherwise cognitively uncontainable quantity of combinatorial possibilities between molecules can be sought out and experimented with for a desirable reaction. And then that sensing, or the pattern recognition that AI is so good at, is something that we do as humans—some of us better than others—and it’s a lifelong muscle to build and what have you. But the AI is really, really good at it, and so it’s a ladder to climb up in some of that sensing. And then the sharing component becomes so much easier with the rewriting capabilities—turn A into B, reformat something into a summary or a set of bullet points, or ideas and words into code. AI is just so excellent for that translation that makes new levels of sharing possible. Ross Dawson: That’s fantastic. Yeah, I had Harold on the show again in the Thriving on Overload days. But you’re right, that’s extremely relevant. Let’s dig into that. I love that you brought up that combinatorial search, which is so important. As opposed to going into Perplexity to do a search, it’s far more interesting to find the uncovered connections between things, which are relevant to what you’re doing. And that’s— Marshall Kirkpatrick: Absolutely. I remember reading, years ago, Dan Pink’s book “A Whole New Mind,” which preceded the generative AI era. But he said, if your kind of work is something that’s easily reproducible by computers, good luck to you. You really are going to need uniquely human practices in the future, and what exactly those are, I’m not sure, because the one that he identified, I don’t think has proven to be uniquely human. But I really appreciated learning about it from him, and that was what he called symphonic thinking, or the ability to draw connections between seemingly unconnected phenomena. So for many years, I have been doing a personal exercise with pen and paper that I call triangle thinking, where I’ll take three different phenomena—maybe that’s the owl outside my window, one of the notes that I’ve taken on paper, and something I come upon on the internet, or maybe it’s three very deliberately related things. I label them A, B, and C, and I ask, what might A have to say about B? What might B offer to A, and vice versa? I write out the six unidirectional connections between those things. And without fail, one, two, or three of those end up being real keepers, where I say, “Aha, that’s a really interesting idea. I’m going to take action on that.” And now, by the time I’ve got the letter B written out, an AI has done that ten times over. I like to do it both ways—still both AI and with my naked brain—but that combinatorial ideation, the generative combinatorial ideation, is, yeah. I’m curious what your thoughts and experience and hope for that might be. Ross Dawson: Well, there’s a prompt I use called “Apply Diverse Thinking,” where it generates extremely diverse perspectives on a topic—who might those very unusual people to think about something be, and then what would they think about this particular situation? Of course, there are a whole array of different thinking tools. There’s Marshall McLuhan’s tetrad, which is a little bit similar to your thing where, again, you can and should do it—well, not manually. What’s the manual equivalent of brain? Marshall Kirkpatrick: Thoughtfully, perhaps. Yeah, good one—deliberately, manually. I mean, Azeem Azhar over at Exponential View uses a fountain pen and paper and will sometimes have his team come online and they’ll do two-hour thinking sessions with no AI allowed. They just get on, I believe, Zoom, and just think through things with pen and paper, individually and together. And then they’ll kick off OpenAI or what have you, and use all the tools afterwards. Ross Dawson: Yeah, well, a couple of things. Actually, research has shown that in brainstorming, it is better for everyone to ideate individually before doing it collectively. And of course, that’s unaided. I think there are analogs there where—actually, one of the frameworks I just released last week was basically to say, think it through for yourself before you ask the AI, because then you have a reference point. If not, you don’t have a reference point to say, “Well, what am I expecting it to do? Let me think it through for myself,” even if it’s just a little bit, as opposed to just going in blank—”All right, give me an answer.” Just that simple thing of thinking through for yourself first is enormous. What it does is, obviously, give you a reference point for that. And I’m going on a lot about appropriate trust at the moment—as in, trust the AI enough, but not too much, which I think is absolutely critical capability. And part of it is being able to say, “Well, this is what I think it should be giving me.” Now you have a reference point for what it gives you. Marshall Kirkpatrick: Yeah, that sounds great in many cases. I do think that’s the right tool for the job in a lot of places, but not necessarily all. I’m thinking of the Iron Triangle of product management—fast, cheap, good, pick two. On some level, just handing the AI the keys for certain decisions is uniquely fast and cheap, right? And maybe it’s good enough. Ross Dawson: Oh yeah. Well, you’ve got to choose your battles, because if you’re now doing ten times what you were doing last week, then maybe for a tenth of those you can do some thinking before you delegate it to the AI. Marshall Kirkpatrick: Yeah, a strategy for how to do that. I think, well, that sounds important—some checkpoints along the way, some random selection of testing things. Ross Dawson: Well, that’s interesting. One of the critical things people talk about with AI model oversight is sampling. As they say, “Okay, I’ve got 1,000 outputs—I’m going to take 20 of them and check how good they are.” You’re not checking every output, but you’re doing some kind of ongoing sampling. Marshall Kirkpatrick: Are you checking with your own deliberate brain, or are you checking with another AI? Ross Dawson: It could be either, depends on the case—how critical it is. This comes back, of course, to the fact that accountability is only human, and so the human who is accountable has to make that decision: “All right, I’m happy for another AI to check it,” or, “Actually, I want to go in myself to see.” And that’s a judgment call. Marshall Kirkpatrick: Totally. And it feels like a process design issue and a personal accountability matter. I mean, “The AI made me do it” is not a viable excuse. Ross Dawson: Let’s hope it remains that way. So, good for those Seek, Sense, Share stages. Sense is one of your superpowers, both in the way you think and also the way you use the tools. It’s probably worth introducing—now you’ve just released this wonderful product called What’s Up With That. So just tell us about the product, but also, I want to go to the bigger context of sense—sensemaking, how we use it generally, how AI can use that, and your role with the tool in that. Marshall Kirkpatrick: Yeah, you know, I think there are so many different ways that sense can be made of anything, so many different ways that anything you read or think about or do can be put into context. It’s just overwhelming. I think we all have our favorite—not all of us, but those of us who are into this have our favorite tools, our favorite ways to—you know, a lot of people will think about something in terms of its past, its present, and its future, or they will break it down in analysis into parts, or they’ll synthesize it together with other phenomena and see how to understand. I think sometimes of the famous Donella Meadows quote, the mother of systems thinking, who said, “Systems thinking isn’t any better than analytical linear thinking than a telescope is better than a microscope.” So there’s just a superabundance of fascinating, powerful tools that all provide different views on anything we’re trying to make sense of. One of the things that I’ve always found a lot of joy and usefulness and power in is learning about new lenses and processes and tools. Now that generative AI has put the ability to develop software into my hands—instead of having to go and hire someone else to build that software—I have built a system that takes as many of those different models and lenses and processes for making sense of something as I can. I mean, it would be trivial to pull up a list of 200 mental models. I might go visit Shane Parrish’s website and The Knowledge Project. I think of ones that would be particularly useful, like, “Tell me who the intellectual predecessors are of this thing I’m reading,” or one of the other capabilities inside of What’s Up With That—my favorite, probably, is a combinatorial one called Fertile Edges. That says, “Take what I’m reading right now, identify the topic that it is a constituent of, and then find other adjacent topics where innovative people have built bridges between those adjacent topics and what I’m reading about, and tell me who those people are.” And that’s really fun. So I have built this sensemaking system, and that’s a part of What’s Up With That. There are really three parts to it. The first is, it analyzes whatever you’re reading or watching, and it pulls out the net new, truly novel, most notable elements. Yesterday, I was telling you, it was a little bit inspired by the US military intelligence guideline that says, when you’re writing up a report about something, focus on what’s new in that situation—tell us what we don’t already know. That’s the first thing that What’s Up With That does. It says, “All right, here’s what’s new in this document relative to its field,” because we just drew a real-time map of the state of the art, and we say, “Okay, here’s what’s really novel there.” The second thing that it does is that toolbox full of all the different mental models and lenses, and it recommends a sequence. One of my favorite books I ever read was “On Grand Strategy,” about strategic thinkers throughout history, who talks about the significance of thinking in terms of sequences of actions. So now, What’s Up With That will say, “Here’s a sequence of analytical lenses we recommend that you subject this document to,” and with a click, it’ll go and do that for you—it’ll do that cognition for you and then just give you a report. The third thing that it does is probably—it, the shorthand for it is compound learning. You don’t have to remember all the things that you read anymore, because our system extracts the causal claims from everything you read, archives them, and then compares everything you read in the future that you analyze with our system to your library of causal connections in the past, to say, “Whoa, we just found a chain of claims that could surface a multi-step risk or opportunity that’s relevant to your work.” We do that both for your data exhaust—your history of things you’ve analyzed—and we do persistent monitoring of the web to detect anything that could be relevant to a project or chain by that same kind of symphonic synthesis and connection. So those are the categories that it has. Ross Dawson: Yeah, I think you’re only scratching the surface of what your tool actually does, and obviously, more generally, these are just pointing in wonderful ways to how you can go beyond saying, “Tell me about this, ChatGPT,” to some far more nuanced ways of getting AI to do it. Marshall Kirkpatrick: People have had the same challenge with Google, historically. Google has struggled with that, to figure out—”I’m feeling lucky” was probably the first intervention in a novice, beginner’s mind, coming to a hyper-complex opportunity space. Even still, now, 20 years since Google launched, I feel like you can tell people that they can search for “site:domain keyword” to find instances of that keyword not in the web at large, just inside that specific domain, and most people don’t know that. It’s a simple power, and there’s a bunch of things like that. So figuring out how to unlock—and I don’t know how much they’ve even worried about it, because they’ve got that cash cow of advertising—but people don’t even recognize, sometimes, whether they’re clicking on an ad or a search result. In polls, when people are asked, they say, “No,” even if they put the ads at the top or mark them as ads, or a bunch of stuff they do do, but nobody notices. So that interface of complexity and accessibility and scale—we’re in it again here now, in this generative AI era. There’s so much more that could be done than is immediately obvious. It’s a real challenge. So I’ve taken the approach that I have, which is to roll up a bunch of that and turn them into buttons and recommend them automatically and try to recommend them just in time, and stuff like that. But I’m sure lots of different people are going to try to respond to that gap of simplicity and complexity in different ways. Ross Dawson: Yeah, that’s—which comes back, I think, a little bit to, you know, I firmly believe that the heart of the future is interfaces. We have these extraordinary capabilities—against finite cognition and infinite capabilities, let’s call them. That’s very much to the individual. The adaptive interface, I think, is going to be absolutely critical. All right, well, it’s after lunch and I’m not feeling so—the interface adapts to you. Marshall Kirkpatrick: So I heard you say that. Ross Dawson: The interface adapts again. Marshall Kirkpatrick: Right? I heard you say that in a conversation with Ramez Naam some time ago. I was listening to that interview that the two of you did together while I was playing hacky sack out in front of my house. I grabbed my hacky sack and I said, “I’ve got to go inside and do something about this idea of Ross—yes, interface variability.” In that case, I did a little experiment that I didn’t implement because I decided not to, but the general idea I want to pursue further, and I’ll tell you what that experiment was. One of the capabilities inside of What’s Up With That is that you can get a reading review synthesized, so that instead of just a list of links, you can get a narrative document exploring the themes, weaving together the last ten articles that you’ve read, and it’s easier to remember and to think about. I decided to hit the Nanonets API and have an image put up at the top that illustrated the themes. Now, maybe it’s just because I read a lot of dystopian AI, authoritarian politics type of stuff, but the images were terrifying, and they’re kind of expensive and slow, and they also look kind of repetitive. I was like, “All right, Ross, I haven’t cracked that nut quite yet in the variable interface, but I think you’re really on to something there.” Ross Dawson: I’ll try to work on that too, a little bit. So coming back to this wonderful thing we laid out, alluding to some of the wonderful ways we can use for really rich investigation of ideas and how to think. It comes back to this frame of mental models. All of us get our mental models from the moment we’re born—we get this understanding of the world, which is hopefully useful. Sometimes, some people’s mental models are not very effective in guiding them in how they work. Our role is to continue evolving, getting better. I call it enriching mental models. Back in my first book, I talked about that, and of course, that’s in the context of the world changing, so mental models can’t be static anyway. In a way, what you’re pointing to is the many, many ways in which we can, at one point, improve our mental models. All right, I understand this linear lineage of thinking, and I can see the strands between that, and these neurons are connecting in my brain in some form. But how can we pull to that bigger picture of all of this lattice of things to be able to say, “All right, I am actually thinking better through these interactions”? Marshall Kirkpatrick: You know, I think that there is a visceral sense—a sense of safety that can come sometimes when a new mental model illuminates a risk that you hadn’t considered before, and you breathe a sigh of relief and say, “Oh, thank goodness, I can now account for that.” And there’s an excitement with opportunity. There is something about a collective greater-than-individual opportunity here, because it’s tempting to—I’m not sure what that looks like, but I feel like there’s some social and interpersonal and network-based. One of the other things I do is build systems for network self-awareness, to build metacognitive network monitoring kinds of systems. I feel like there are mental models on that level as well. Ross Dawson: So I’ve got to dig into that—metacognitive network monitoring. Explain Marshall Kirkpatrick: Yeah. So every one of us, and our organizations, exists in a network of customers, suppliers, competitors, regulators, thought leaders, with orbits that extend out. The signals are strongest in the closest ones, and perhaps they are weaker and harder to hear, but really significant coming from outer orbits—even from other industries or other topics. It is overwhelming. It is cognitively uncontainable for any of us to keep up with all the work being done, all the thoughts being shared, all the new developments and opportunities from all the different entities that we’re interconnected with. One of the other offerings that I build for organizations is a system where I go out and map as many of those as possible with people. Those might be your target accounts you’re wanting to sell to, or your peers in a community of practice. Then I set up systems, basically using RSS, email newsletters, web page change notification—the technical underpinnings—to say, especially when organizations are—there are some forms of communication that organizations do naturally by default, and those tend to be speaking to their own customers. If you can listen to what organizations are saying to their own customers at scale, you can pull in a large quantity of signal, and then the challenge is to winnow that down into just the filtered signals that are most relevant to your priorities. I’ve got a system that uses AI to do that. Then there are combinatorial possibilities as well. I’ve started merging that in with What’s Up With That now, for example, where when we’re watching your broader network and a signal gets picked up on the back end, we’re generating hundreds of possible scenarios for that signal to intersect with your work and projects and priorities, and then we’re filtering to say, “Yeah, but tell me just the subset of these that are most significant and imminent and actionable and interesting.” If there’s something, then we will alert you and tell you what’s going on. Otherwise, you never hear from us, and you just go about your business. But a couple times a day, I get alerts. Yesterday I got an alert that said, “Hey, one of the founders of Manus, the AI platform that Meta just acquired for $2 billion, just got detained in China trying to go back to Singapore. Given your interests in AI and anti-authoritarian politics and the infrastructure battles around AI, we thought you might want to know about this.” I said, “Thanks, What’s Up With That, I really appreciate it.” That’s an example of the sort of thing—so that’s how I do it. Other customers will take that and use it to populate a podcast or a newsletter, and do both an intake and an output as a conduit of that kind of network self-awareness. Ross Dawson: Yeah, well, as you know, my kind of—my metacognition is my mantra. I think one of the key points is this simple question: How can AI assist me in getting to a point of metacognition? I would argue, if we use AI even vaguely well, it’s already doing that, because you’re saying, “Okay, well, let me think about what I can do and what the AI can do,” and you’re starting to think of that system. The only thing that enables this humans plus AI is metacognition, because you can actually see above and see your role and the AI’s role. I think this broader question of saying, many of the things you’ve been talking about are how AI is helping us to get to a point in metacognition. Marshall Kirkpatrick: Ross, can I ask you a question adjacent to that? I think I am not the only one who wants to know, perhaps—and maybe this is a trade secret, I don’t know—but how you think about your analysis and sharing of scientific research papers online? You’re so good at that, and you do a lot of it, and it’s really valuable. It comes to my mind when you talk about metacognition—what role does that function, what are you doing there, what role do you see that playing in this bigger conversation? Ross Dawson: Well, I’ll just tell you the mechanics of it, which might partly answer your question. I go into, often, three or four of the AI engines, including Grok, actually, because it’s very good at search. I say, “Tell me the most interesting research papers in the last few weeks,” whatever—on, I might say, human-AI collaboration or AI and strategy, whatever it might be, just different frames. Then I go and look at them. To be frank, I probably should do some more filtering with AI and tell them, “Only from reputable authors,” etc., because I have to just look at a lot of stuff, but that’s useful in its own right. Then I start to see, okay, this is a paper which is not only interesting, but actually would be useful to summarize for other people. I do a lot of surfacing—a lot. I’m very quick at scanning, so that’s just a mental process. At that point, when I found the paper, I’ve got a Gemini gem and an OpenAI GPT, both of which I call Insight Distiller. Basically, I stick the paper in there, it comes out, and I always rewrite it. I will either prompt the AI to improve it in various ways, and then always just rewrite or choose which of the points I put in, and so on. So there’s actually a fairly manual process, but very, very AI-assisted. To your point, there’s so much extraordinary research going on, and people don’t look at it. The function, I think, is what you’re alluding to—it’s just like saying, “This is the essence of a paper, and you can read it in a few minutes and get some really good insights, and hopefully that will inspire you to go have a proper look at the paper, because there’s a lot more in there.” To myself, of course, going through all that is enormous and valuable to me, but it’s useful to others too. Marshall Kirkpatrick: Absolutely, wow. That is a high-touch. That’s great. I bet you really have a lot of compounding learning as a result of it. Ross Dawson: Yeah, it’s kind of this thing where, just the nature of how my brain works and my immersion in stuff, I think it somehow gets me to some decent understanding of what’s going on. So to round out, what’s the next phase? I think this is an extraordinary time, but in the frame of what we’re talking about—AI and cognition—from your perspective, or just the world’s perspective, where do we go from here? Marshall Kirkpatrick: Well, I think that it comes down, in part, to values. I can’t help but think about this K-shaped future that we risk moving towards, where some people are using all kinds of augmented capabilities and building on top of past experience and education and what have you, and income inequality just gets more and more intense. The gap between people who are excited about this stuff and can use it, and everyone else, just gets all the bigger. That’s not good for anybody. I really hope that isn’t the case. I’d love to get the J of exponential change without too much of the K of increasing inequality. I think that’s the direction we’re pointed in, but I do hope that we can democratize access to a lot of these capabilities and figure out how to use them in partnership with other ways of thinking—like Azeem and his team, writing on paper, like some of the indigenous traditional knowledge practices around the world that are very place-based and around ecosystem balance and recognizing humans as a part of nature, working with AI and technologies. I’d love to see this be an additive experience, more than a destructive experience for humanity and the rest of the planet. Ross Dawson: Yeah and that’s why you and I both working on is doing whatever we can to nudge things in those directions. So where can people go to find out more about your wonderful work? Marshall Kirkpatrick: Well, these days, I am pointing people mostly to whatsupwiththat.app. That’s kind of my home these days for all the different work. Ross Dawson: I’ll recommend it. Marshall Kirkpatrick: Oh, thank you so much, Ross. Ross Dawson: Very useful, and I’ve only just begun to use it so— Marshall Kirkpatrick: Awesome, well, let’s stick some of those papers in there and red team it and hit “Find Science” and get other scientific reviews of the claims in the paper, etc. Thanks—it’s so great to be back in touch with you here and not just watch from a distance, but to get to put our heads together like this is a real pleasure. Ross Dawson: Thanks so much, Marshall. The post Marshall Kirkpatrick on cognitive levers, combinatorial possibilities, symphonic thinking, and compound learning (AC Ep39) appeared first on Humans + AI.

Welcome to Exponential View, the show where I explore how exponential technologies such as AI are reshaping our future. I've been studying AI and exponential technologies at the frontier for over ten years. Each week, I share some of my analysis or speak with an expert guest to make light of a particular topic. To keep up with the Exponential transition, subscribe to this channel or to my newsletter: https://www.exponentialview.co/ ----- In this episode, I sit down with my friend Rohit Krishnan - writer of the Substack newsletter Strange Loop Canon - for a hands-on conversation about what it actually looks like to build with AI agents today. Between us we're burning through tens of billions of tokens a month - I hit nearly 100 million in a single day this week - and we share what we're each running on our own machines. We dig into the quirks and surprising power of tools like OpenClaw, Claude Code, and Cowork, debate why AI remains stubbornly bad at good writing, and zoom out to ask what a world of trillions of agents might actually look like — and what economic infrastructure it will need. We covered: (03:15) What's on your screen right now? (04:30) OpenClaw (06:27) Rohit's agent, Morpheus (11:06) Azeem's agent, R. Mini Arnold (19:25) The analyst is now a machine (22:36) 100 million tokens in a day: the new normal (24:44) Building tools to improve AI writing: Horace and Broca (32:19) Why writing is the hardest eval for LLMs (39:18) Towards a trillion agents (42:09) The agentic economy: coordination, identity, and exchange (46:33) How to get started with OpenClaw (51:18) The hardest leap for new users ----- Where to find me: Exponential View newsletter: https://www.exponentialview.co/ Website: https://www.azeemazhar.com/ LinkedIn: https://www.linkedin.com/in/azhar/ Twitter/X: https://x.com/azeem Production by EPIIPLUS1 Production and research: Baba Films, Chantal Smith, Marija Gavrilov. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

TISS is a weekly podcast where Varun, Kautuk, Neville & Aadar discuss crazy "facts" they find on the internet. Come learn with them... or something like that.This week, the boys are talking about 'India's Infra Fails feat'To support TISS, check out our Instamojo: www.instamojo.com/@TISSOPFollow #TISS Shorts where we put out videos: https://bit.ly/3tUdLTCYou can also check out the podcast on Apple podcast, Spotify and Google podcast!https://shorturl.at/hfQZXhttp://apple.co/3neTO62http://spoti.fi/3blYG79http://bit.ly/3oh0BxkCheck out the TISS Sub-Reddit: https://bit.ly/2IEi0QsCheck out the TISS Discord: / discord  Buy Varun Thakur's 420 Merch - http://bit.ly/2oDkhRVSubscribe To Our YT Channels:Varun - https://bit.ly/2HgGwqcAadar - https://bit.ly/37m49J2Kautuk - https://bit.ly/3jcpKGaNeville - https://bit.ly/2HfYlWyFollow Us on Instagram:Varun -   / varunthakur  Aadar -   / theaadarguy  Kautak -  / cowtuk  Neville -  / nevilleshahChapters:00:00 AI-Generated Aadar02:08 Aadar's Sick Leave04:26 Viewer Task05:10 World Cup Talk09:05 Azeem the Infra Comic12:02 Mumbai's Musical Road21:17 Mira-Bhayandar Bridge24:28 Bhopal's 90° Bridge27:05 Solar Panels Under Shade (Pakistan)28:22 Chile's “Cow Cow” Bridge30:41 No Lift in the Building32:05 Blocked View Problems34:53 Nagpur Balcony Bridge41:40 Weird Infrastructure Worldwide48:36 Roads Re-Done in India51:48 Govt Lighting Obsession54:29 Crazy Political Hoardings01:00:36 Scary Car Safety Features01:05:06 Raunaq Joins TISS01:05:49 Mumbai–Pune Highway01:11:08 Agarwal Packers & Movers01:48:34 Azeem's Shows01:50:33 Superchats02:03:50 HygieneThumbnail - Anjali Handa

Everyone's feeling jumpy about AI right now—and for good reason.The hype has been massive. The investment has been astronomical. But where's the actual return?In this episode, Azeem Azhar, founder of Exponential View and advisor to tech leaders and governments, breaks down why the next 18 months are make-or-break for AI. Companies need to prove there's real ROI, not just prototypes launched and tokens spent.We cover:What hard evidence would actually prove AI is working (hint: it's not usage metrics)Who can build a real moat with AI—and why the winners will likely come from unexpected places, as they have in previous tech transformationsThe physical constraints nobody wants to talk about: chips, data centers, power grids, and whether America's infrastructure is up to the taskWhy OpenAI's "ubiquity strategy" might be spreading too thin (and what Anthropic is doing differently)The "pragmatic addicts" problem: we're dependent on AI even though we don't trust itHow Azeem and his team use AI to be more productive, how they automate whatever they can, and why individual contributors are acting more like managers (of AI)Note: This interview was recorded months before the "SaaSpacolypse" (big market drop) of Feb 2026; the analysis is as relevant as ever. Chapters(01:51) - Why the next 18 months are the crucible for AI (04:09) - What hard evidence would actually prove AI ROI (not token counts!) (06:55) - Why it's so hard to measure AI's real impact (09:55) - Who can build a moat with AI? Winners will be in "odd places" (12:56) - Structural data advantages: why Waymo's edge is hard to replicate (14:34) - Coding agents and whether developers will become disillusioned with them (18:21) - Physical constraints: chips, data centers, power, and America's grid problem (21:25) - How the Gulf countries became an unexpected AI hub (28:02) - "Pragmatic addicts": why 75% of Americans distrust AI but use it anyway (31:45) - The narrative of AI can be very unappealing: heaven on Earth or dystopia (34:36) - How Azeem's team uses AI: augmentation vs. automation (40:06) - What should we be talking about besides AI? (43:46) - Sounds like science fiction: What Azeem can't believe is real and here today Links & Resources:Exponential View: https://www.exponentialview.co/Azeem's Boom or Bubble dashboard: https://boomorbubble.ai/Azeem's New York Times piece on America's electric grid challenge: https://www.nytimes.com/2024/12/28/opinion/ai-electricity-power-plants.htmlMore on the “MIT Study” claiming 95% of AI projects fail that Azeem and I both found to be really poorly done, but that is nonetheless is quoted by everyone: Here's Azeem tearing the study apart with data: https://www.exponentialview.co/p/how-95-escaped-into-the-worldAnd here's me riffing with Kwaku Aning on it. You know why Azeem liked my take? Because I actually read the thing, unlike ~95% of the writers out there who just quoted that 95% number: https://www.futurearound.com/p/did-anyone-actually-read-that-mit-ai-study-that-made-the-markets-swoon-i-didSupport Future Around & Find OutGet the newsletter: https://www.futurearound.comBecome a paid subscriber and help future proof this thing!: https://www.futurearound.comSponsor the show? Are you looking to reach an audience of senior technologists and decision-makers? Email me: dan@modernproductminds.com

This week! Candace the Magnificent and Jeremy Cobb are joined by content creator and voice actor Azeem Jimoh, also known as BlackPurist. Azeem shares his nerdy origins, from his favourite Sonic game to the creators who inspired him to start making content, and how Ryan Higa's work led him into content creation and voice acting. The conversation dives into overlooked were-creatures, including the criminally underrated were-sloth, and highlights Azeem's wider work, including his in-depth video on racism in fantasy and how race is constructed in fictional worlds. Towards the end of the episode, Azeem talks about what's coming up in 2026, including two new shows and his involvement with The Runedocks, before closing out with his brilliant Tale From The Table. You can find Azeem under the username BlackPurist on the following platforms:YouTubeInstagramTikTokBlueskyX Links mentioned by Candace: Check out Studio Sama Fallout: Kings of Mahatt Nimble Teaser with Mage Hand High Five Also - did you miss out on our first

Youth Talk with Bibi Aysha Laher: Caring for our feet Guest: Azeem Shaik, Podiatrist by Radio Islam

Azeem Azhar is the founder of Exponential View, a newsletter and research platform on emerging technology read by over 130,000 executives and policymakers globally, and author of the bestselling book The Exponential Age.In this episode of World of DaaS, Azeem and Auren discuss:Diagnosing an AI bubbleData centers driving 33% of US GDP growthWhether energy will constrain AI before capital doesCircular financing in AI and funding quality risksLooking for more tech, data and venture capital intel? Head to worldofdaas.com for our podcast, newsletter and events, and follow us on X @worldofdaas.You can find Auren Hoffman on X at @auren and Azeem Azhar on X at @azeem.Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

Send us a textIn this episode, we dive deep into the challenges and opportunities of housing reform with our special guest, Burhan Azeem, Cambridge City Councillor. From tackling the housing crisis and improving affordability to exploring sustainable urban development, this episode explores how local policies can create fairer, more livable communities.Join Vee, Jimmy, Peter and Burhan as we discuss the realities of housing policy, the importance of innovation in urban planning, and what meaningful reform could look like for cities like Cambridge and beyond.Burhan Azeem is serving his second term on the Cambridge City Council as the youngest councillor in the City's history. A graduate of MIT, Burhan's primary focuses are on housing affordability, street safety, and universal pre-K.In his first term as councillor, Burhan expanded zoning for 100% affordable housing projects, successfully removed costly parking minimums that limited housing development, and played a key role in establishing universal pre-K for all Cambridge residents.Now serving as co-chair of the Housing Committee, Burhan is focused on expanding housing in Cambridge. His main initiative centers on legalizing multifamily housing up to six stories throughout the city, ensuring that Cambridge remains an affordable and accessible place to live for all its residents. Burhan is also a strong supporter of the Grand Junction passenger rail and municipal broadband.Bio from Cambridge City Council https://www.cambridgema.gov/Departments/citycouncil/members/burhanazeem

Two weeks ago, in one of our most popular podcasts of the year, the investor and author Paul Kedrosky explained why he thinks AI is a bubble. In the last few days, practically everybody seems to agree.I hate this. I don't like feeling like my position is the same position as everybody else's. Conventional wisdoms are often more conventional than wise, and I've started to wonder: Is there a bubble of people calling AI a bubble?Today's guest says yes. Azeem Azhar is an investor and the author of the blog Exponential View. Like Paul, Azeem is a fantastic explainer and storyteller, and I'm satisfied that Plain English has now presented the strongest possible arguments for and against AI being a bubble. If you want to know where I land, you'll just have to listen to the end of the show. If you have questions, observations, or ideas for future episodes, email us at PlainEnglish@Spotify.com. Host: Derek ThompsonGuest: Azeem AzharProducers: Devon Baroldi and Kaya McMullen Learn more about your ad choices. Visit podcastchoices.com/adchoices

Burhan Azeem — the youngest Cambridge City Councilor ever elected — is in good traffic this week for a dive on effective local politics, building bike infrastructure quickly in the states, and being elected to office at 24. The city — home of Harvard and MIT — is getting a ton done, and fast. Burhan's work focuses on housing, transit, and actually completing ambitious infrastructure projects for his Cambridge constituents (outcomes > process). We also underscore the powerful influence of voter participation and young leadership in driving meaningful neighborhood action.Timeline:00:00 Burhan Azeem is in good traffic.00:22 Youngest council member in Cambridge history.01:02 The first day in elected office.02:23 Housing in Cambridge.05:08 Cambridge vs. Boston: policy divergence.10:02 Bike infrastructure successes.10:45 Cambridge and Paris success stories and commonalities.20:32 Collaboration with universities like Harvard, MIT.27:18 Addressing climate change hyper-locally.30:54 Behavioral change and systemic solutions.31:23 The impact of urbanization on emissions.33:12 Policy entrepreneurship.34:18 Communicating complex topics effectively.47:45 The importance of local elections.49:48 Wrapping up.Further context:Burhan's reelection campaign.On Burhan, via MIT Technology Review.Follow Burhan, on X.

Nick Thompson, CEO of The Atlantic, led one of the first major content licensing deals with OpenAI in 2024. In this conversation, he joins Azeem to unpack how AI is transforming media – and what that means for every business navigating the shifting economics of attention, trust, and discovery. We cover: (01:49) Journalism's four horsemen (5:33) The collapse of search (9:07) Cloudflare's counterattack (13:56) Is this the search-traffic fix? (17:42) Rise of the sovereign creator (22:57) Do great writers need editors? (26:22) Why conservatives win new media (27:17) How Substack drives discovery (31:08) East Coast vs. West Coast ethics (35:11) How Nick uses AI in writing (42:13) Is AI friend or foe to journalism? (45:32) The Atlantic's survival plan Nick's links: The Atlantic: https://www.theatlantic.com/LinkedIn: https://www.linkedin.com/in/nicholasxthompson/ Twitter/X: https://x.com/nxthompson Substack: https://nxthompson.substack.com Azeem's links: Substack: https://www.exponentialview.co/ Website: https://www.azeemazhar.com/ LinkedIn: https://www.linkedin.com/in/azhar Twitter/X: https://x.com/azeem ----Produced by supermix.io and EPIIPLUS1 Ltd

At the start of the year, I made seven predictions about how 2025 would unfold. Six months in, it's time to mark my own work. From AI capability breakthroughs to autonomous vehicles, climate extremes to workforce transformation, I examine what I got right, what I missed, and why the 2027-2028 period will be when vertical AI hits the real economy in force.In this episode you'll hear:The AI wall that never came: Ten-million-token models exist, O3 scores 25% on Frontier Math vs GPT-4's 2%, but some models are inconsistent and overthink problemsWhen bots officially out-talk humans: My modeling shows LLMs crossed the threshold of producing more text than humans sometime this summerThe Waymo vs Uber SF battle: They've beaten Lyft and expanded to New York, but Tesla's Austin robo-taxi fleet changes the competitive landscapeClimate and energy predictions that were "too easy": Record climate extremes, 30% solar growth, and Indonesia's stunning EV jump from 20% to 80% in two yearsWhat I completely missed: The AI capex boom, humanoid robots at Figure/BMW/Amazon, and workforce impact with CEOs reporting 20-50% AI assistanceWhy getting too many predictions right is a problem: I reflect on whether scoring too well means I didn't push boundaries enough in my forecastingThe 2027-2028 turbulence ahead: Why four-year-old AI startups challenging incumbents while early adopters reap deep organizational benefits will create economic turbulenceOur new showThis was originally recorded for “Friday with Azeem Azhar”, a new show that takes place every Friday at 9am PT and 12pm ET. You can tune in through my Substack linked below.The format is experimental and we'd love your feedback, so feel free to comment or email your thoughts to our team at live@exponentialview.co.Azeem's links:Substack: https://www.exponentialview.co/Website: https://www.azeemazhar.com/LinkedIn: https://www.linkedin.com/in/azhar?originalSubdomain=ukTwitter/X: https://x.com/azeemTimestamps:(00:00) Grading my predictions from January 2025(01:23) #1: No AI Wall(03:59) #2: Warp-speed deployment(05:16) #3: Bots out-talk humans(06:24) #4: Waymo overtakes Uber in SF(08:31) #5: Climate extremes intensify(09:09) #6: Solar keeps breaking records(10:06) #7: EVs shift up a gear(11:12) The problem with predicting too accurately(12:01) What I missed(12:14) The CapEx boom around AI(13:56) The rise of humanoid robots(14:36) AI's impact on the workforce(18:40) Looking ahead(18:48) Infrastructure first, apps next(19:52) 2027/2028 will be a "period of fireworks"(21:39) When we'll find out if AI is a bubble(23:02) A question for the futureProduction:Production by supermix.io and EPIIPLUS1 Ltd

For EP33 of Chain Reactions, we sat down with Azeem Khan, longtime crypto operator and now co-founder of the privacy-first ZK blockchain Miden*,* to discuss what it takes to build a next-gen L1 in today's market.We trace Azeem's journey from Bitcoin blog posts and Kardashian cease-and-desists to running major BD at Gitcoin, closing partnerships with UNICEF, and now helping lead Miden, which just raised a $25M seed round co-led by a16z, 1kx, and Hack VC.We went deep on what it means to be a non-technical co-founder in a zero-knowledge protocol, why founder-led BD still beats most Web3 growth strategies, and how Miden's Pioneer Program is flipping the playbook by taking a venture studio approach to ecosystem building.Plus, we talk about astronauts as mascots, Taylor Swift as a blueprint for community, and why the best crypto brands borrow from culture, not crypto Twitter.If you're building an L1, supporting one, or just want to hear how thoughtful storytelling and asymmetric relationship capital can help turn a new chain into a category-defining ecosystem — this one's a must.Please enjoy, and as always, subscribe, drop a five-star review at https://bit.ly/chainreactions-spotify, or mint the episode at pods.media/myosinxyz!

In this episode, I reflect on a whirlwind three-day visit to China - my first in over 20 years. And what I saw was remarkable. The infrastructure puts most of the West to shame. The AI isn't just hype - it's working at serious scale. And the electric vehicles? They're about to steamroll the global auto industry. Here's what really struck me during my whirlwind trip to Beijing and beyond.In this episode you'll hear:Infrastructure built at speed: Beijing's immaculate airport, 300 km/h rail to Tianjin for £17, and pristine expressways that put US infrastructure to shame.Verticalised AI in action: While Chinese labs trail US frontier models and face compute constraints, they're excelling in verticals - profitable robotaxis in Wuhan, healthcare AI analyzing 5.5 billion medical records, and Squirrel AI's $200m education platform that outperforms China's best human teachers.EV cost leadership is set: Chinese electric vehicles are absolutely remarkable. Years of vicious domestic competition have created incredible innovation and cost discipline that will hit European carmakers like a sledgehammer.The air quality transformation: Beijing at 37°C was clean enough for a morning run, thanks to widespread EV adoption.Scale that defies comprehension: Convention centers 100 times the size of Union Square, cities of 20 million people, and AI platforms serving tens of millions of users.Our new showThis was originally recorded for “Friday with Azeem Azhar”, a new show that takes place every Friday at 9am PT and 12pm ET. You can tune in through my Substack linked below.The format is experimental and we'd love your feedback, so feel free to comment or email your thoughts to our team at live@exponentialview.co.Azeem's links:Substack: https://www.exponentialview.co/Website: https://www.azeemazhar.com/LinkedIn: https://www.linkedin.com/in/azhar?originalSubdomain=ukTwitter/X: https://x.com/azeemTimestamps:(00:00) Surprises at the airport(01:21) Immense scale(01:54) 3 areas of interest(02:37) Chinese infrastructure and engineering(03:22) ~180mph train, £17 fare(04:29) Multi-lane expressways built for scale(05:55) Development of AI in china(06:09) China leans into vertical AI(08:12) Apollo robotaxis: unit-cost positive(09:33) Yidu Tech: 5.5B health records(10:35) Squirrel AI outperforms top teachers(14:29) EVs & clean air(16:14) BYD x Octopus: earn by charging(18:30) EV boom improves Beijing air(19:56) Luxury Chinese EV interior(21:08) Closing thoughtsProduction by supermix.io and EPIIPLUS1 Ltd.

Click here to tell us about your favorite car, car story or automotive trivia !Ever wondered how right-hand-drive icons like the Toyota Supra, Nissan Skyline GT-R, Mazda RX-7 and Acura Integra DC2 actually make it from Japanese auctions to American driveways? In this episode of To All the Cars I've Loved Before, hosts Doug & Christian sit down with veteran JDM importer Mohammad Azeem (former GM of MDK Japan, now based in Virginia) for a deep dive into:Japanese car-care culture and why second-hand Supras and Skylines arrive in pristine shape — minus the occasional cigarette burn The step-by-step exporting process: auction bidding, multi-lingual sales teams, container shipping and clearing U.S. customs under the 25-year rule Engine royalty—1JZ-GTE vs 2JZ-GTE—and what makes Honda's B-series & the DC2 Integra Type R cult classics Tips for first-time buyers choosing between a clean Toyota Vitz/Yaris, Honda Insight hybrid, or track-ready drift chassisHow rising global demand is driving prices, plus Muhammad's personal weekend weapon and Doug's dream of owning his first imported JDM car Check out Mohammad's favorite episode is "Iron Curtain Automotive Adventures: Wartburg 353 Restoration & Ford Probe GT Autobahn Drive https://pod.link/1733902541/episode/6eade7ea9d7f42a0d038dadeede849f6Your Favorite Automotive Podcast - Now Arriving Weekly Listen on your favorite platform and visit https://carsloved.com for full episodes, our automotive blog, guest road trip playlist and our new CARousel of Memories photo archive. Don't Forget to Rate & Review to keep the engines of automotive storytelling—and personal restoration—running strong.

Broadcasting live from Paris, I tackle three massive technology stories that are reshaping our digital future. From Apple's stunning interface redesign to the collapse of traditional search advertising, and Sam Altman's vision of an AI singularity that's already begun - this episode captures the tectonic shifts happening in tech right now.I cover:(1:32) WWDC 2025:  Apple's AI challenges and new UI(6:06) The decline of Google's ad model(10:08) Sam Altman's Gentle Singularity essay(19:37) Live audience Q&A(19:45) Is the singularity really about Altman?(22:13) Is France carrying Europe's AI dreams?(24:58) Are you seeing promising AI hardware?(27:42) How will AI change software pricing?Our new showThis was originally recorded for “Friday with Azeem Azhar”, a new show that takes place every Friday at 9am PT and 12pm ET. You can tune in through my Substack linked below.The format is experimental and we'd love your feedback, so feel free to comment or email your thoughts to our team at live@exponentialview.co.Azeem's links:Substack: https://www.exponentialview.co/Website: https://www.azeemazhar.com/LinkedIn: https://www.linkedin.com/in/azhar?originalSubdomain=ukTwitter/X: https://x.com/azeemProduction by supermix.io and EPIIPLUS1 Ltd.

(0:00) Intro(0:12) Hajj se mutaliq Qur'ani aayat(0:38) Arafah Day ka bayan(0:50) Nabi ﷺ ka farman(0:58) Hajj ke 2 arkaan(1:22) Islam ka intihai daur(2:22) Islam ka ibtidaai daur(5:15) Islam vs Qabar parast, aazadi pasand, aur apni marzi ka deen(6:48) Islam: Allah ka pasandeeda deen(7:37) Nabi ﷺ ki hijrat aur great vision(8:52) Fatah-e-Makkah(9:12) Hajja tul Wida(9:28) Arafah mein rush(9:57) Abdullah bin Umar RA ka waqia(10:16) Nabi ﷺ ke daur mein Hajj ka rush(10:27) Khutba Hajja tul Wida likhne ki taakeed(11:34) Khutba Hajja tul Wida ke aham nukat(11:53) Kisi cheez ko uske opposite se samajhna(14:11) Zamana-e-Jahiliyat kaisa tha?(15:39) Sahih Bukhari/Muslim: Baiti se nafrat khatam karnay wali hadis(17:44) Hazrat Umar RA ka qoul(17:59) Western society vs Muslim society(19:50) Humanity First slogan ka jawab(20:56) Allah ke ehkam aur molviyon par tanqeed(21:59) Rishton ke naam par haqooq, tehzeeb ke thekedaar(24:04) Islam mein haqooq ki tafseel(25:30) Sahabi RA ka waqia: Mulazim se salook(27:10) Allah ka haqq aur uske ehsanat ki fehrist(28:34) Arafah ke din Darwin's theory se tauba(29:13) Allah ki muhabbat ka graph(32:18) Allah ki hum se demand(32:48) Arafah ke din behayai se tauba(34:32) Mufti sb ka viral bayan(35:45) Madad sirf Allah se(36:40) Allah ke qawaneen(37:11) Arafah ke din tamam gunahon se tauba(37:26) Badd akhlaq shohr(38:55) Khush akhlaq air hostess (Saeed Anwar ka waqia)(40:39) Sawab vs paisa(41:23) Harmful wives(42:05) Harmless wives(42:18) Walidain ke saath behtareen salook(43:55) Biwi, bachon se salook(44:18) Sila rehmi ka hukam (Memes on sila rehmi in

Affiliate link:https://dungeonsoap.com/dndegreesCODE: DNDEGREES10 for 10% off entire order!Find Azeem [he/him]:+Website: https://blackpurist.com/+TikTok: @blackpurist+Bluesky: @blackpurist+Twitch: @blackpurist+Youtube: @blackpuristFind Adrian [he/any]:+TikTok: @ACLawrence24+Youtube: @ACLawrence24+Twitch: @ACLawrence24+Instagram: @AdrianPadrianFind Alex [she/they]:+Instagram: @eloquentmime+TikTok: @eloquentmimeFind Dante [he/him]+Youtube: @TrainerRio +Intagram: @trainer.rio +TikTok: @Trainer.rio +Twitch: @TrainerRioFind Us: +Join our community via Discord: https://discord.gg/XFhma7qjDy+Support us on Patreon: https://www.patreon.com/dungeonndegrees +Subscribe to D&Degrees on Apple Podcasts: https://podcasts.apple.com/us/podcast/dungeons-degrees/id1528189379+Twitch: @dungeonndegrees | twitch.tv/dungeonndegrees+Twitter: @dungeonndegrees+TikTok: @dungeonndegrees+Instagram: @dungeonndegrees +Our Website: https://dndegreespod.com/ +Email us at dndegreespod@gmail.com+Youtube: https://www.youtube.com/@dungeonsdegrees

Thomas Dohmke, CEO of GitHub, joins Azeem to explore how AI is fundamentally transforming software development. In this episode you'll hear: (01:50) What's left for developers in the age of AI? (04:54) How GitHub Copilot unlocks flow state (07:09) Three big shifts in how engineers work today (10:47) Is software development art or assembly line? (15:26) Why developers are climbing the abstraction ladder (19:35) Have we already lost control of the code? (23:15) What it's actually like to work with AI coding agents (39:35) Welcome to the age of ultra-personalized software(45:37) Building the next-generation web Thomas's links:GitHub: https://github.com/LinkedIn: https://www.linkedin.com/in/ashtom/Twitter/X: https://x.com/ashtomAzeem's links:Substack: https://www.exponentialview.co/Website: https://www.azeemazhar.com/LinkedIn: https://www.linkedin.com/in/azharTwitter/X: https://x.com/azeemOur new show This was originally recorded for "Friday with Azeem Azhar", a new show that takes place every Friday at 9am PT and 12pm ET. You can tune in through Exponential View on Substack. Produced by supermix.io and EPIIPLUS1 Ltd

TISS is a weekly podcast where Varun, Kautuk, Neville & Aadar discuss Crazy "facts" they find on the internet. So come learn with them...or something like that. This week the boys are discussing on 'Countries Ranked'To support TISS, check out our Instamojo: www.instamojo.com/@TISSOPFollow #TISS Shorts where we put out videos: https://bit.ly/3tUdLTCYou can also check out the podcast on Apple podcast, Spotify and Google podcast!http://apple.co/3neTO62http://spoti.fi/3blYG79http://bit.ly/3oh0BxkCheck out the TISS Sub-Reddit: https://bit.ly/2IEi0QsCheck out the TISS Discord: / discord Buy Varun Thakur's 420 Merch - http://bit.ly/2oDkhRVSubscribe To Our YT ChannelsVarun - https://bit.ly/2HgGwqcAadar - https://bit.ly/37m49J2Neville - https://bit.ly/2HfYlWyKautuk - https://bit.ly/3jcpKGaAzeem - https://www.youtube.com/@UC8q382aFUrFz3yZMFQo5VVg Follow Us on Instagram.Varun - / varunthakur Aadar - / theaadarguy Neville - / nevilleshah. Kautak - / cowtuk Azeem - https://www.instagram.com/azeembanatwalla/Creative Producer- Antariksh TakkarChannel Artwork by OMLThumbnail - OML

Lennart Heim, a researcher and information scientist at RAND Corporation, joins Azeem Azhar to unpack a provocative claim: China is catching up with US AI capabilities, but it doesn't matter. Timestamps: (00:00) Episode trailer (01:19) Lennart's core thesis (03:26)   Why compute matters so much (07:31)  The investment split between model R&D and model execution (11:18)  How test-time compute impacts costs (16:14) The geopolitics of compute (21:32) Why does the U.S have more compute capacity than China? (25:01)  The trade-off between economic needs and national-security needs (31:54)  How technology change might shift the battlegrounds (35:33)  Dealing with compute and power concentration (48:19)  Concluding quick-fire question  Lennart's links: Twitter/X: https://twitter.com/ohlennartPersonal blog: https://heim.xyz/Azeem's links:Substack: https://www.exponentialview.co/Website: https://www.azeemazhar.com/LinkedIn: https://www.linkedin.com/in/azharTwitter/X: https://x.com/azeemThis was originally recorded for "Friday with Azeem Azhar", a new show that takes place every Friday at 9am PT and 12pm ET. You can tune in through Exponential View on Substack. Produced by supermix.io and EPIIPLUS1 Ltd

Greg Jackson, CEO of Octopus Energy, joins Azeem to discuss the Iberian blackout and how we can create a more stable, flexible, and resilient energy grid for the future. This conversation digs into grid technology, market structures, and the real opportunities of the clean energy transition. (00:00) Episode trailer (01:38)  What caused the Iberian blackout? (04:55)  Managing load in traditional vs renewable grids (11:57) The role of market incentives (18:13)  Greg's social experiments within the UK grid (23:49)  How the "virtual power plant" is becoming a reality (26:59)  The path to completing the renewable energy transition (33:15)  Are lobbyists slowing down the transition? (36:26)  What does the next 5-10 years look like? (40:42)  Why the name "Octopus?" Greg's links:Twitter/X: https://twitter.com/g__jLinkedIn: https://uk.linkedin.com/in/gregsjacksonOctopus Energy: https://octopus.energy/Azeem's links:Substack: https://www.exponentialview.co/Website: https://www.azeemazhar.com/LinkedIn: https://www.linkedin.com/in/azharTwitter/X: https://x.com/azeem

Physicist and entrepreneur Steve Hsu, whose startup Superfocus tackles hallucination problems in large language models, joins Azeem to discuss AI agents, hallucination challenges and what happens when technology meets labor markets. They discuss: (01:31) The deeper shift that Superfocus represents (07:00)  Will models overcome hallucination? (10:15)  AI Agents can replace 80-90% of call center calls(12:27)  What it's like showing customer support AI to customer support people (22:36)  China's mayors are like mini CEOs (30:05)  What will matter most in the supposed "AI race"? (35:58) DeepSeek was not part of the Chinese Government (38:23)  How open source will change the future of deployment (40:59)  What the public doesn't understand about AI tail risk (48:01) How AI plush toys can teach French to 2-year-olds This was originally recorded for "Friday with Azeem Azhar", a new show that takes place every Friday at 9am PT and 12pm ET. You can tune in through Exponential View on Substack. Produced by supermix.io and EPIIPLUS1 Ltd

In this episode, Azeem Azhar speaks with Ryan Petersen, CEO and founder of logistics platform Flexport, about the current state of global trade amidst escalating tariffs, geopolitical tensions, and technological disruption. Ryan offers unique insights from the frontlines of the US-China trade war and explores how businesses are adapting to a rapidly changing landscape. (00:00) Episode trailer (01:12) Ryan's overall thoughts and predictions (03:40) Why shipping is crucial to your everyday life (08:07) Why tariffs may actually increase global shipping (11:34) Who's pausing their China shipments? (14:29) The mindset of Flexport customers right now (16:02) Is this the end of globalization? (21:48) The fragility and resiliency of global trade (25:27) The most underrated story in the world (30:25) How tech has changed global trade (36:31) Who will win in the new trade settings? (41:20) What could a U.S-China trade deal look like? Ryan's links:Flexport https://www.flexport.com/ Twitter/X https://x.com/typesfast LinkedIn https://www.linkedin.com/in/rpetersen/Azeem's links: Substack: https://www.exponentialview.co/ Website: https://www.azeemazhar.com/ LinkedIn: https://www.linkedin.com/in/azhar Twitter/X: https://x.com/azeem Our new showThis was originally recorded for "Friday with Azeem Azhar", a new show that takes place every Friday at 9am PT and 12pm ET. You can tune in through my Substack linked below. The format is experimental and we'd love your feedback, so feel free to comment or email your thoughts to our team at live@exponentialview.co.Produced by supermix.io and EPIIPLUS1 Ltd

Anthropic's co-founder and chief scientist Jared Kaplan discusses AI's rapid evolution, the shorter-than-expected timeline to human-level AI, and how Claude's "thinking time" feature represents a new frontier in AI reasoning capabilities.In this episode you'll hear:Why Jared believes human-level AI is now likely to arrive in 2-3 years instead of by 2030How AI models are developing the ability to handle increasingly complex tasks that would take humans hours or daysThe importance of constitutional AI and interpretability research as essential guardrails for increasingly powerful systemsOur new show This was originally recorded for "Friday with Azeem Azhar", a new show that takes place every Friday at 9am PT and 12pm ET on Exponential View. You can tune in through my Substack linked below. The format is experimental and we'd love your feedback, so feel free to comment or email your thoughts to our team at live@exponentialview.co.Timestamps:(00:00) Episode trailer(01:27) Jared's updated prediction for reaching human-level intelligence(08:12) What will limit scaling laws?(11:13) How long will we wait between model generations?(16:27) Why test-time scaling is a big deal(21:59) There's no reason why DeepSeek can't be competitive algorithmically(25:31) Has Anthropic changed their approach to safety vs speed?(30:08) Managing the paradoxes of AI progress(32:21) Can interpretability and monitoring really keep AI safe?(39:43) Are model incentives misaligned with public interests?(42:36) How should we prepare for electricity-level impact?(51:15) What Jared is most excited about in the next 12 monthsJared's links:Anthropic: https://www.anthropic.com/Azeem's links: Substack: https://www.exponentialview.co/Website: https://www.azeemazhar.com/LinkedIn: https://www.linkedin.com/in/azharTwitter/X: https://x.com/azeem

Kevin Kelly is a co-founder of Wired Magazine and a renowned author and futurist.  Decades ago, Kevin predicted much of today's technological and cultural landscape. In this discussion, he presents his new bold vision for what's coming next: The Handoff to Bots.In this episode, you'll hear:Why declining populations will radically reshape economiesWhat a bot-to-bot economy could look and feel likeWhy people of the future might be paid to read emailsHow AI could help humanity find deeper purposeWhy this future might be closer than you thinkKevin's links:Website/blog: https://kk.org/Twitter/X: https://x.com/kevin2kellyInstagram: / kevin2kelly  Azeem's links:Substack: https://www.exponentialview.co/Website: https://www.azeemazhar.com/LinkedIn: https://www.linkedin.com/in/azhar?ori...Twitter/X: https://x.com/azeemTimestamps:(00:00) Intro(02:17) The baby black hole behind Kevin's theory(10:49) Kevin's thesis: The handoff to bots(15:05) This world is closer than we think(19:32) The role of humans in this new world(21:23) Could monopoly influence pose a problem?(28:33) The nature of “struggle” in this new world(32:42) Could we see countries competing for population?(36:06) How a scarcity of humans might change what we value(42:30) What would 1994 Kevin think of 2025 Kevin's blog? Production:Production by supermix.io 

Patrick McKenzie (patio11) is joined by Azeem Azhar, writer of the Exponential View newsletter, to discuss the massive data center buildout powering AI and its implications for our energy infrastructure. The conversation covers the physical limitations of modern datacenters, the challenges of electricity generation, the societal ripples from historical largescale infrastructure investments like railways and telecommunications, and the future of energy including solar, nuclear and geothermal power. Through their discussion, Patrick and Azeem explain why our mental models for both computing and energy systems need to be updated.–Full transcript available here: www.complexsystemspodcast.com/ai-llm-data-center-power-economics/–Sponsors:  Safebase | CheckReady to save time and close deals faster? Inbound security reviews shouldn't slow down your team or your sales cycle. Leading companies use SafeBase to eliminate up to 98% of inbound security questionnaires, automate workflows, and accelerate pipeline. Go to safebase.io/podcast Check is the leading payroll infrastructure provider and pioneer of embedded payroll. Check makes it easy for any SaaS platform to build a payroll business, and already powers 60+ popular platforms. Head to checkhq.com/complex and tell them patio11 sent you.–Recommended in this episode:Azeem's newsletter: https://www.exponentialview.co/ Azeem Azhar's guest essay: The 19th-Century Technology That Threatens A.I. https://www.nytimes.com/2024/12/28/opinion/ai-electricity-power-plants.htmlElectric Twin: https://www.electrictwin.com/ Video of Elon Musk's Colossus https://www.youtube.com/watch?v=Tw696JVSxJQ Complex Systems with Travis Dauwalter on the electrical grid: https://open.spotify.com/episode/5JY8e84sEXmHFlc8IR2kRb?si=35ymIC0UQ5SKdV8rrBcgIw Complex Systems with Austin Vernon on fracking: https://open.spotify.com/episode/0YDV1XyjUCM2RtuTcBGYH9?si=YshjUXPEQBiScNxrNaI-Gw Complex Systems with Casey Handmer on direct capture of CO2 to turn into hydrocarbon: https://open.spotify.com/episode/0GHegWgLSubYxvATmbWhQu?si=xNYBjn0ZTX2IT_pAZ5Ozsg –Twitter:@azeem@patio11–Timestamps:(00:00) Intro (00:27) The power economics of data centers(01:12) Historical infrastructure rollouts(04:58) The telecoms bubble (06:22) Unprecedented enterprise spend on AI capabilities(11:12) Let's have your LLM talk to my LLM(16:44) Is there a saturation point?(19:25) Sponsors: Safebase | Check(21:55) What's in a data center?(24:52) The challenges of data centers(29:40) Geographical considerations for data centers(36:53) Energy consumption and future needs(40:48) Challenges in building transmission lines(41:35) The solar power learning curve(43:51) Small modular nuclear reactors(51:26) Geothermal energy and fracking(01:01:34) The future of AI and energy systems(01:12:57) Wrap

Em todas as empresas teremos os dois tipos de pessoas: De um lado, os catalisadores do sucesso — profissionais que elevam a produtividade e inspiram excelência; de outro, aqueles que, consciente ou inconscientemente, geram disfunção no ambiente organizacional.E  caso você§e seja uma pessoa Altamente Sensível, (PAS), esta contaminação do ambiente pode ser crítica pra sua carreira. Afinal, você é a famosa esponja do ambiente. Neste episódio cito um estudo interessante sobre o tema, e práticas para lidarmos com a inveja ou sabotagem dos demais. referencia: Liu, C., Peng, Y., Xu, S., & Azeem, M. U. (2024). Proactive employees perceive coworker ostracism: The moderating effect of team envy and the behavioral outcome of production deviance. Journal of Occupational Health Psychology, 29(6), 445–459. https://doi.org/10.1037/ocp0000389

In this episode, Scott Becker speaks with Sohail Azeem, MBA, MPH, FACHE, Chief Operating Officer of MedSys Health. Sohail discusses the company's mission to improve access, prevent adverse outcomes, and reduce healthcare costs through cutting-edge technology, including AI and remote monitoring. He shares insights on value-based care, growth strategies, and the evolving role of AI in healthcare, offering a compelling look at the future of healthcare innovation.

On the show this week, I'm joined by former cricket superstar, Azeem Rafiq. When Azeem was a young boy playing cricket near his home in Pakistan, he could never have foreseen that this sport would change his life forever. He fell in love with the game quickly and it wasn't long before the white flannels and green grass felt like home to him. When he moved to England, he became the youngest man to captain a Yorkshire side and the first person of Asian descent to do so. His talent was undeniable, and doors were opening for him.But there was something Azeem was bottling up and it was about to explode out of him and shake the whole cricket world, and wider society, out of their slumber. It's Not Banter, It's Racism is the never before-told truth behind the racism accusations that shocked a nation, from the moment Azeem spoke up to the resulting events that have altered his world entirely.Just a disclaimer, this episode mentions feelings and attempts of suicide, miscarriage and the loss of a child. Support the show

Don't we have enough Blockchains already? Short answer: No... And Azeem from Morph is going to explain why, in full HD!...Blockchains keep evolving, and Layer 2s present an opportunity to provide unique functionality, integrations and experiences for dApp builders. And Morph is a really interesting example of an L2 that is innovating beyond just the chain code.This is an in-depth discussion around why the world still needs more L2s, and what are the key tactics for launching and growing 'yet another' Blockchain in 2024. We cover:- Morph 101- Why Ethereum, and Web3 in general, need another L2- What's required to build a blockchain ecosystem- What Morph are doing to differentiate from other L1s and L2s- How to grow Web3 adoption without fragmenting ecosystems, developers and funding- What's next for Morph, and the roadmap ahead

Technology changes have always meant business changes, but with technology changing this fast, how long can businesses keep up? How can businesses work with technology to increase their own yields exponentially?Azeem Azhar is the founder of Exponential View, a platform that features podcasts, newsletters, and video content. Azeem is also the author of the book The Exponential Age: How Accelerating Technology is Transforming Business, Politics and Society.Greg and Azeem discuss the rapid technological transformations reshaping business, politics, and society, transitioning from a linear era to an exponential age. Azeem explains the historical turning points of technological revolutions, the economic implications of these changes, and the role of general-purpose technologies like certain AI models and solar photovoltaics. They also go over the challenges and opportunities faced by corporations and government bodies in adapting to these rapid changes, and how to mitigate many problems with the practice of continuous learning within organizations.*unSILOed Podcast is produced by University FM.*Show Links:Recommended Resources:Ray KurzweilUnSILOed: Episode 360: Robert J. GordonCarnot's TheoremExperience Curve EffectsPhilosophy, Politics and EconomicsNvidiaSteve BallmerKenneth C. GriffinPerplexity AIClaude (language model)ChatGPTMichael PorterDaron AcemogluJames BoyleGuest Profile:Azeem Azhar's Exponential View PodcastAzeemAzhar.comLinkedIn ProfileWikipedia ProfileYoutube ChannelSocial Profile on InstagramSocial Profile on XHis Work:The Exponential Age: How Accelerating Technology is Transforming Business, Politics and SocietyExponential View PodcastExponential View NewsletterEpisode Quotes:Integrating technologies into organizations42:58: My observation with these technologies is that they're very, very powerful. There are  clearly some good directions to head in, but they're a bit complicated to bring into an organization. And then the question about learning is this: Are you willing to do the work to bring onboard a powerful technology that's a bit complicated? That may mean you got to read a document on a weekend rather than golf, or do you not want to do that work? And I love learning, as you do. This podcast is about learning. Of course, I'm going to tell people, "Just do the work, get learning." Because it's never going to stabilize, right? This technology is not going to stabilize. It'll get better in many different ways and, therefore, harder to use. I can drive a Tesla Model 3; I can't drive a V12 Ferrari. I'm not a good enough driver to drive a great car. And so we have to get better at them. And that ultimately is your choice.Are we all students in this exponential age?49:58: In this new world, into the exponential age, we all become students because the world is going to change so rapidly. On the other hand, the cost of being a student is much lower than it ever has been because I've got a professor in my pocket. I will continue to learn, and I can continue to actively learn about the world.AI's public good—who benefits and how?54:07: I think that, with AI, the potential public good and social good of being able to put humanity's knowledge into systems that can become freely and widely available should force a process—an open process of discussion about how those rewards should get split and who should get what.

As we race towards a future powered by AI and data centres, how will the insatiable demand for energy impact the environment? With the richest companies ploughing billions into energy generation, might there be some unexpected upsides for the climate transition? And can exponential technologies address the climate crisis on a finite planet? Cleaning Up host Michael Liebreich sits down with Azeem Azhar, founder of Exponential View, to explore the complex relationship between exponential growth, climate change, and the societal implications of transformative technologies. Michael and Azeem delve into the promises and pitfalls of a future shaped by the rapid advancements in renewable energy, battery storage, and artificial intelligence. This podcast was originally published on Cleaning Up. 

As we race towards a future powered by AI and data centres, how will the insatiable demand for energy impact the environment? With the richest companies ploughing billions into energy generation, might there be some unexpected upsides for the climate transition? And can exponential technologies address the climate crisis on a finite planet? This week on Cleaning Up, host Michael Liebreich sits down with Azeem Azhar, founder of Exponential View, to explore the complex relationship between exponential growth, climate change, and the societal implications of transformative technologies. Michael and Azeem delve into the promises and pitfalls of a future shaped by the rapid advancements in renewable energy, battery storage, and artificial intelligence.Exponential View: Listeners of Cleaning Up can receive one year of complimentary access to Exponential View Premium, visit: https://www.exponentialview.co/cleaningup. Offer valid for 7 days starting November 27, 2024. Leadership Circle:Cleaning Up is supported by the Leadership Circle, and its founding members: Actis, Alcazar Energy, EcoPragma Capital, EDP of Portugal, Eurelectric, the Gilardini Foundation, KKR, National Grid, Octopus Energy, Quadrature Climate Foundation, SDCL and Wärtsilä. For more information on the Leadership Circle, please visit https://www.cleaningup.live.Links:Azeem's websiteThe Solar Revolution - Past, Present and Future | Ep173: Jenny Chase Battery Recycling Is Here - But Where Are The Batteries? - Ep165: Hans Eric Melin Separating Hype from Hydrogen – Part One: The Supply Side - Audioblog 3Separating Hype from Hydrogen – Part Two: The Demand Side - Audioblog 4Inside the World's Largest AI Supercluster xAI ColossusAI's $600bn problem

Azeem Khan is the Co-Founder and COO of Morph, an EVM Layer-2 blockchain company focused on user-friendly options for developers to create finance, gaming, social media, and entertainment apps. Azeem aims to broaden the global exposure of Web3 projects through the building of critical relationships and deals with NGOs, governments, and for-profit companies. He is a consultant to the UNICEF Crypto Fund, which distributes millions of dollars towards open-source software that is helping to improve the lives of vulnerable children and will be working with Mercy Corp to raise funds and resources for distribution in Gaza.Previously, Azeem was the Head of Impact at Gitcoin where he played a pivotal role in the adoption of quadratic funding to benefit organizations including UNICEF and the American Cancer Society. Azeem's efforts at Gitcoin resulted in contributions of over $60 million in grants to the company and over $29 billion in global financial impact.In this conversation, we discuss:- Permissionless EVM L2s- UNICEF Crypto Fund- Crypto donations to NGOs- Frictionless aspect of crypto donations- Consumer-friendly blockchain products- Mastering distribution and go-to-market strategy- The lack of go-to-market playbooks in crypto- Allowing builders to build so Morph can help with distribution- The killer crypto consumer app- Stablecoins are the best consumer application in present-day crypto- Crypto adoption takes real-time and we must be patient- Pooling resources together will get us to the finish line.MorphWebsite: www.morphl2.ioX: @MorphL2Telegram: t.me/MorphL2officialAzeem KhanX: @azeemk_LinkedIn: Azeem Khan---------------------------------------------------------------------------------  This episode is brought to you by PrimeXBT.  PrimeXBT offers a robust trading system for both beginners and professional traders that demand highly reliable market data and performance. Traders of all experience levels can easily design and customize layouts and widgets to best fit their trading style. PrimeXBT is always offering innovative products and professional trading conditions to all customers.   PrimeXBT is running an exclusive promotion for listeners of the podcast. After making your first deposit, 50% of that first deposit will be credited to your account as a bonus that can be used as additional collateral to open positions.  Code: CRYPTONEWS50  This promotion is available for a month after activation. Click the link below:  PrimeXBT x CRYPTONEWS50

Backpain is one of the most common ailments worldwide, and the majority if people will suffer from it at one point. In this episode of the Get Healthy 360 podcast, Kris Ferguson, MD welcomes Nomeen Azeem, MD to talk about the various back pain treatments available today. Don't miss this episode of the Get Healthy 360 Podcast! Dr. Azeem completed his undergraduate education at James Madison University in Harrisonburg, Virginia, and graduated from medical school, earning his Doctor of Medicine from Ross University School of Medicine. After that, he completed an internship at Medstar Harbor Hospital Center in Baltimore and a residency at Medstar Georgetown University Hospital Physical Medicine and Rehabilitation in Washington, DC, where he was the chief resident. After filling a faculty position at Medstar Georgetown University as a musculoskeletal medicine specialist, he went on to complete an ACGME interventional pain fellowship at Temple University Hospital in Philadelphia, under the guidance of internationally renowned pain physician Dr. Frank J.E. Falco. His most recent book: How to Treat Low Back Pain, is available now! https://shop.elsevier.com/books/how-to-treat-low-back-pain/deer/978-0-443-15962-6

TISS is a weekly podcast where Varun, Kautuk, Neville & Aadar discuss Crazy "facts" they find on the internet. So come learn with them...or something like that. This week the boys are discussing on yet another version of Weird News. To support TISS, check out our Instamojo: www.instamojo.com/@TISSOPFollow #TISS Shorts where we put out videos: https://bit.ly/3tUdLTCYou can also check out the podcast on Apple podcast, Spotify and Google podcast!http://apple.co/3neTO62http://spoti.fi/3blYG79http://bit.ly/3oh0BxkCheck out the TISS Sub-Reddit: https://bit.ly/2IEi0QsCheck out the TISS Discord: / discord Buy Varun Thakur's 420 Merch - http://bit.ly/2oDkhRVSubscribe To Our YT ChannelsVarun - https://bit.ly/2HgGwqcAadar - https://bit.ly/37m49J2Neville - https://bit.ly/2HfYlWyKautuk - https://bit.ly/3jcpKGaAzeem - https://www.youtube.com/@thebanatDudeja - https://www.youtube.com/@siddharthdudejaFollow Us on Instagram.Varun - / varunthakur Aadar - / theaadarguy Neville - / nevilleshah. Kautak - / cowtuk Azeem - https://www.instagram.com/azeembanatwalla/Dudeja - https://www.instagram.com/siddharthdudeja/Producer- Rupika KhereChannel Artwork by Sidhi SurteThumbnail - OML

As 2024 begins, leaders are facing increasing uncertainty and a host of difficult decisions. Azeem Azhar returns to bring clarity amid a complicated information landscape, with his analysis of 12 core themes that will shape the year ahead, including AI adoption, geopolitics, decentralization, the energy transition, and more.

Artificial Intelligence (AI) is on every business leader's agenda. How do you ensure the AI systems you deploy are harmless and trustworthy? This month, Azeem Azhar picks some of his favorite conversations with leading AI safety experts to help you break through the noise. Today's pick is Azeem's 2020 conversation with the pioneering AI scientist Fei-Fei Li, professor of computer science at Stanford University and the founding co-director of Stanford's Human-Centered AI Institute.