Podcasts about machines

Subscribe to our Newsletter:https://theultimatepartner.com/ebook-subscribe/Check Out UPX:https://theultimatepartner.com/experience/ The Shift from Attention to Trust In this compelling episode, Ashleigh Vogstad, CEO of Transcends, joins Vince Menzione to discuss the tectonic shifts occurring in the global partner ecosystem. Ashleigh shares her firsthand experiences studying AI at Oxford, the rise of the “Trust Economy,” and the controversial Amazon vs. Perplexity lawsuit. They dive deep into the practicalities of becoming a “Frontier Firm,” the importance of building proprietary AI agents, and the ways Gen Z and AI-driven marketplaces are revolutionizing the buyer journey. Whether you are looking to win Microsoft Partner of the Year or navigate the demise of traditional SaaS, this conversation provides a strategic roadmap for leading through the AI revolution. Key Takeaways The economy is shifting from a focus on human attention to a foundation of verified trust. Future commerce will involve “selling to machines” as AI agents begin making purchasing decisions on behalf of humans. Microsoft is prioritizing “Frontier Firms” that integrate AI into every customer interaction and internal process. Gen Z buyers are prioritizing product value and “dupes” over traditional brand names, with 75% of buyers expected to be Gen Z by 2030. To win Partner of the Year, organizations must publicly celebrate “better together” stories with validated customer wins. Modern leaders should transition from a “growth mindset” to a “frontier mindset” to keep pace with rapid technological change. https://youtu.be/xJmd43NvfnI If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags Trust Economy, Selling to Machines, Amazon vs Perplexity Lawsuit, Frontier Firm, AI Agents, Copilot Studio, Anthropic Claude, Microsoft Partner of the Year, B2B Marketplaces, Gen Z Buyer Behavior, Digital Freedom, AI Therapy, Ray Kurzweil Singularity, Substack Growth, Co-selling Partnerships, MCI Funding, Azure Accelerate, Agentic AI, Transcending Tech, Ashleigh Vogstad. Transcript Asleigh Vogstad Audio Podcast [00:00:00] Ashleigh Vogstad: The attention economy is about selling to human beings. Now, if you look at something like the Amazon versus Perplexity lawsuit, the whole underlying premise is around the shift of no longer selling to humans directly, but of selling to machines. [00:00:19] Vince Menzione: We just finished Ultimate Partners Winter Retreat here in beautiful Boca to a sold out crowd. Today I’m joined by Ashley Waad. The CEO of transcends for this compelling discussion. Ash, welcome back to the podcasts. [00:00:34] Ashleigh Vogstad: It’s so good to be here, Vince. Thank you. Uh, [00:00:37] Vince Menzione: so well, we’re back in Boca again and we were just here yesterday for the Ultimate Partner Executive Winter Retreat in person. [00:00:44] Vince Menzione: What a great event we had together. [00:00:46] Ashleigh Vogstad: It was phenomenal. Thank you so much for having us there and on stage and, and genuinely the community is like a family, so seeing so many familiar faces and spending some quality time was just great. [00:00:57] Vince Menzione: It has really, truly become like family. It really, I’m, I’m, I’m having so much fun with this and getting to watch. [00:01:04] Vince Menzione: Not just our business grow and our community grow, but to see all of our friends and, uh, organizations like Transcends that have been with us since the beginning, since the very first ultimate partner acting even before the first ultimate partner. And, uh. We were just talking about. I’d love to catch up with what you’ve been doing. [00:01:22] Vince Menzione: Like you just came, you’ve been on a whirlwind. I mean, you’re always, every time like it’s, where’s Ash? She’s, uh, she’s on a plane again, or she’s on, she’s on the slopes. But tell us where you were just this week. [00:01:34] Ashleigh Vogstad: Yeah. The week started in a snowstorm, actually transporting myself from Whistler. I didn’t know if I would make it to the airport, but then down to Silicon Valley and [00:01:45] Vince Menzione: Nice. [00:01:46] Ashleigh Vogstad: Wow, that place is just inspiring and eyeopening. I mean, seeing the Nvidia campus, a MD, it’s really just other worldly and it had me reflecting on, it’s [00:02:00] Vince Menzione: not Whistler. Yeah, it’s [00:02:02] Ashleigh Vogstad: definitely not Whistler. Definitely not Whistler [00:02:05] Vince Menzione: about, [00:02:06] Ashleigh Vogstad: um, yeah, it just had me reflecting on being down there. I used to spend a lot of time in the Valley around 2017 and. [00:02:13] Ashleigh Vogstad: In this theme of AI and kind of what’s really coming, I was, I was thinking about, I had met this woman, Julia Moss Bridge, who’s a neuroscientist studying ai. She had a project called Loving Ai, and I was down there when they had borrowed Sophia, this humanoid robot from S and Robotics. [00:02:32] Vince Menzione: Oh yes. Yes. [00:02:33] Ashleigh Vogstad: Really interesting. [00:02:34] Ashleigh Vogstad: Sophia’s actually a citizen of Saudi. Mm-hmm. First, first robot to actually be made citizen of a country. So they had Sophia set up and the part that was just mind boggling at the time was that Sophia was hosting in real life therapy sessions with actual human beings sitting across the table. And what really struck me as. [00:02:59] Ashleigh Vogstad: Kind of just, you know, that was only eight, nine years ago. And that was esoteric. Wacky and [00:03:05] Vince Menzione: eerie. [00:03:05] Ashleigh Vogstad: Weird. [00:03:05] Vince Menzione: Eerie at the time. [00:03:06] Ashleigh Vogstad: Incredibly eerie. Yeah. I mean, a, a human getting, uh, you know, therapy sessions from a robot sitting across the table. Yeah. And it just had me thinking how far we’ve come today. In 2025, Harvard Business Review said that therapy is actually the number one use case for ai. [00:03:26] Vince Menzione: I’ve heard that. That is striking. I go back to COVID. We were having this conversation last night at at the dinner for the Ultimate Partner event, and I think that COVID allowed us to transcend, [00:03:42] Ashleigh Vogstad: mm-hmm. [00:03:42] Vince Menzione: No pun intended there, but actually accelerate where we are today, that the acceptance of AI and the acceleration, or the ability to accept change so quickly. [00:03:56] Vince Menzione: Started with COVID because we were so, so we were forced on whatever it was, March 10th I think, here in the United States to shut down everything and move to this remote life. [00:04:08] Ashleigh Vogstad: Mm-hmm. [00:04:09] Vince Menzione: And I think we’ve been shocked by that. I think our systems have all been shocked by that. And then here comes chat GBT in November of 2022 and we’re like. [00:04:20] Vince Menzione: Shocked in some respects, but like really everyone has embraced it in such a strong way, and now we’re getting. It’s almost daily update. You know, we’re gonna talk, I know we’re gonna talk about Anthropic and some of the things that’s been happening just in this last month that are striking and changing that have a lot of organizations trying to navigate, which is what, you know, you, you help organizations do. [00:04:43] Vince Menzione: But it feels like this is happening so fast and will continue to happen so fast. And as I said yesterday, I don’t know what this world’s gonna look like by 2030. [00:04:53] Ashleigh Vogstad: You know, and I think the thing is, is that nobody knows what the world is gonna look like in 2030. I’ve been reading Ray Kurz Well’s, the Singularity is nearer, so the original book, the Singularity is near and he’s known to be a very accurate predictionist on the future. [00:05:11] Ashleigh Vogstad: Yeah. But even with someone like that, you know, there, there nobody really knows what the world is gonna look like. And when you talk about COVID. At transcends, we have a value of digital freedom. So I founded the business in 2018, which was pre COVID. I as a fully remote organization, and at the time that was, you know, more groundbreaking, but then very quickly with CI that, that became the so-called new normal. [00:05:37] Ashleigh Vogstad: But we’re always thinking about. You know, remote first doesn’t mean remote only, and I think in this tide of what you’ve talked about, technological change being more acceptable and the pace of change. One of the interesting things that we see as a go-to-market agency is that in-person events are increasing. [00:05:56] Vince Menzione: Yes. [00:05:57] Ashleigh Vogstad: People want and crave the face-to-face. Just like with the ultimate partner series. [00:06:02] Vince Menzione: I felt it. So it was striking yesterday. It, it seems like it’s, again, this was event number nine for us, but to see the, um, uh, receptiveness isn’t the right term, but it was this, uh, people, the, the embracing. Of seeing each other and hugging each other and being in the same room with each other. [00:06:22] Vince Menzione: And even people that didn’t know each other, like by the, the, as the day evolved, this, uh, connection that they all seemed to have with one another during the sessions and participating, everyone actively participated in the sessions. And, um, I said this in the beginning, we’re not a Slack channel and we’re not like some post on LinkedIn. [00:06:43] Vince Menzione: Uh, we’re there, there’s no playbook that’s set today around partnerships or even go to markets and marketing that we could espouse and say, this is the playbook for the next year. Right. It’s, it’s changing so rapidly. [00:06:55] Ashleigh Vogstad: So rapidly, [00:06:57] Vince Menzione: and you’ve embraced it. And I, and what we’re gonna talk about right now, I mean, I, I, you know, you’ve embraced AI in such a strong way. [00:07:04] Vince Menzione: Um, personally and with your business, I want to, I wanna dive in here a little bit. First of all, a couple things For those of those who are listening who don’t know you, I think maybe just a moment about transcends and your role, and then I wanna dive in on how you’re thinking about ai because I know you’re doing some things personally. [00:07:22] Vince Menzione: I want you to share that with, with our listeners and viewers today. [00:07:25] Ashleigh Vogstad: Yeah, great. And I just wanna comment that it was a cool moment yesterday being up on stage with yourself and Mark Monday from ServiceNow and having the audience so engaged and active and Nina Harding from Microsoft stepping up and entering the conversation. [00:07:40] Vince Menzione: So cool. [00:07:41] Ashleigh Vogstad: It just made for such a collaborative experience, which was a cool moment, but yeah. Um, so. I founded this business, transcends a go-to-market agency after being at Microsoft myself. And really our differentiation is deep strategic partnerships with hyperscalers, whether that’s AWS, Google, Microsoft, and you know, that. [00:08:03] Ashleigh Vogstad: It comes with a challenge to be on the leading edge of technology. [00:08:08] Vince Menzione: Yes, [00:08:09] Ashleigh Vogstad: it, it’s really an imperative for our business and we are an AI first firm. Microsoft talks a lot about Frontier Firm, and I’ll take a, a different kind of angle on it. You know, when I think about Frontier. I now think about it as instead of the growth mindset, I now think about a frontier mindset. [00:08:28] Vince Menzione: Frontier mindset. You have to change my principles. [00:08:32] Ashleigh Vogstad: You know, maybe, like you said, the world is changing so rapidly. Yeah, it’s [00:08:36] Vince Menzione: changing rapidly. [00:08:36] Ashleigh Vogstad: And what a frontier mindset means is that as we’re approaching work for our clients, we are thinking about AI innovation in every single customer. Interaction, customer innovation. [00:08:49] Ashleigh Vogstad: So today we’re building AI agents into much of the work that we’re delivering for clients. And as a business owner and leader, I’ve been challenged to also think critically around how I’m choosing to run the company. And right now we’re going through a huge overhaul of where we have data sitting in silos and different applications. [00:09:09] Ashleigh Vogstad: Yep. And getting that into one place with one view so we can start layering on more insight. AI innovation. [00:09:17] Vince Menzione: Yeah. And data’s such an critical part, part of this, as we, we talked about yesterday. But you know, even the, what you said, which is, would, would’ve been striking a year ago to say, we’re an AI first, uh, agency isn’t as striking anymore. [00:09:32] Vince Menzione: Uh, we heard Nina when we were having this conversation on stage yesterday, say that it’s an imperative at Microsoft that the agencies that they choose to work with, the third party vendors that they work with have to be an AI first organization. I have to be a frontier firm, and so I’m a, I am sensitive to the word frontier firm. [00:09:53] Vince Menzione: I understand why Microsoft uses it and I understand the value of what we used to call, you know, customer zero or back in the day we used to say eating your own dog food, but essentially being an organization that has leaned in, in a way, and with ai. Even more so, so important to do it. So tell us, I know you’ve done some things personally as well, but tell, tell us what you’ve done with the organization. [00:10:18] Vince Menzione: Uh, you talked about data and making data available and having, having a true data state as opposed to silos of data, but then you also made some personal investments and sacrifices. I would say. [00:10:30] Ashleigh Vogstad: Yeah. [00:10:30] Vince Menzione: Yeah. In terms of what you’re doing around ai, [00:10:32] Ashleigh Vogstad: so I mean, let’s start on the personal side. I’m the CEO of my organization, and you can read in books or news articles that it is critical for AI transformation to start at the C-suite and specifically in the CEO seat. [00:10:46] Vince Menzione: Yes. [00:10:46] Ashleigh Vogstad: And that really. Landed for me and so I’m personally leading in About two weeks ago, I built an agent, just end-to-end on my own, got into copilot studio. Wow. Got comfortable with the interface. You know, I was clunky moving around in there at first, chose my model. You know, I went with one of the anthropic Claude models for this particular project and built up an agent that can deliver executive communications like. [00:11:14] Ashleigh Vogstad: Thought leadership blogs, uh, LinkedIn posts, but in a particular human being’s voice by ingesting things like their social profiles, their SharePoint sites, where they live and work. And it has been so surprising doing an ab test between just what a chat GBT or a copilot could produce. [00:11:32] Yeah. [00:11:33] Ashleigh Vogstad: In comparison with the authenticity of the voice coming from the agent. [00:11:37] Ashleigh Vogstad: Uh, it was just a really cool experience to roll up the sleeves and get in there. But also I think the, the investment that you’re referring to is, I made a big decision to return to school and uh, got accepted to go to Oxford. [00:11:52] Vince Menzione: Wow. [00:11:52] Ashleigh Vogstad: And I’m studying artificial intelligence there. [00:11:54] Vince Menzione: That is incredible. That is incredible. [00:11:57] Vince Menzione: Oxford, uh, we’ve heard of that school before here in the United States. [00:12:03] Ashleigh Vogstad: You know, it’s been a really great experience. It’s in person, so I’m traveling there about every 60 to 90 days and living on campus. I mean, really, Oxford isn’t. Formally a campus, it’s sort of a, a city and a university all, all ruled into one and the experience has been really powerful. [00:12:21] Ashleigh Vogstad: Yes. One of the things I wanted to get outta the program was a more global perspective, and it’s been fascinating to me that about half the faculty so far, or or professors, guest lecturers that have been coming into the program have been from China or very direct experience working in the Chinese market. [00:12:38] Vince Menzione: That is fascinating. [00:12:39] Ashleigh Vogstad: It’s been a completely different view. Or for example, you know, really digging into some of the legal cases that are driving precedence for how AI is interacting with corporations. [00:12:51] Vince Menzione: Mm. [00:12:51] Ashleigh Vogstad: One of the big ones for me has been looking at Amazon versus p perplexity. This is still a live case that’s happening right now. [00:12:58] Ashleigh Vogstad: And you know, I think it was Forbes magazine that the headline was the End of Commerce for this case because it’s really about. How human beings are being replaced with machines and hearing some of the world’s leading thinkers, leading AI researchers on these topics has just been really expansive. [00:13:19] Vince Menzione: It’s fascinating. [00:13:20] Vince Menzione: I mean, it’s, this started a couple years ago with, uh, Hollywood, in fact. Suing the industry or suing the technology companies with regards to, uh, employment, right? Mm-hmm. About the, the, uh, copyright infringement and what’s gonna happen in the entertainment industry. And I think that was just a one very small example. [00:13:40] Ashleigh Vogstad: You know, voice people think about DeepFakes. Yeah. And they think about video, but actually voice is a big issue. And you look at the, um, you know, the what happened between Scarlett Johansson and her voice in her, and then open AI rolling out a voice that sounded identical. Sounds like her. [00:13:59] Vince Menzione: Yeah. [00:13:59] Ashleigh Vogstad: To Scarlett Johansen and, and where that went. [00:14:01] Ashleigh Vogstad: It’s, it, this is a new ground for, for everybody that we’re going through right now. [00:14:07] Vince Menzione: It is. We can dive and go in so many different directions, but let’s talk about marketing and advertising since that’s kind of. Transcends core, and a lot of the people that watch and listen to us are in the partnership world. [00:14:22] Vince Menzione: They’re leading organizations, they own organizations, the the chief executives or CVPs of organizations. Let’s talk about advertising and where that’s going. [00:14:32] Ashleigh Vogstad: Yeah, great. [00:14:33] Vince Menzione: Yeah, [00:14:33] Ashleigh Vogstad: I mean, uh, I love Marshall McCluen. He’s a Canadian theor, uh, media theorist, and in 1964, he very famously said, the medium is the message. [00:14:43] Ashleigh Vogstad: And what that really means when you peel back the layers is that every type of communication medium has these inherent biases. And I think what we’re experiencing right now is this new medium of artificial intelligence, and I’m really interested in exploring what that means for the media world. So. If I gonna take you back to 1997, there’s this really famous, the Innovator’s Dilemma. [00:15:10] Ashleigh Vogstad: Yes. Kind of a classic business 1 0 1 type book by Clayton Christensen. Yes. And he talks about this theory of disruption where new technologies, emerging technologies start at the low end of the market. They gain this momentum and they eventually displace incumbents. And you know, sometimes seemingly out of nowhere. [00:15:28] Vince Menzione: Yeah. And Microsoft was a good example of this at that time. [00:15:32] Ashleigh Vogstad: Def, [00:15:32] Vince Menzione: yeah. [00:15:33] Ashleigh Vogstad: All the big players. All the big players. I mean, Google go for search as well, right? So that’s one of the classic examples. And so. If we look at storytelling technology, you have things like chat, GBT and Sora entering the scene. And in the beginning, you know, they’re producing a shitty first draft. [00:15:51] Ashleigh Vogstad: Uh, you know, it’s things like post-apocalyptic dogs with five finger human beings. Yeah. Things like this. But, you know, and they really lacked emotional resonance. But as we all know. That’s not the case anymore. No, it’s [00:16:05] Vince Menzione: not. [00:16:06] Ashleigh Vogstad: AI is increasingly producing content that is very powerful and is starting to resonate with people. [00:16:13] Ashleigh Vogstad: You know, I’m definitely not a neuroscientist, but if we, we look into the neuroscience, it’s your cortical sal circuit that. Kind of is responsible for pattern recognition and it compares what you’re seeing in the real world with what you expect to see. So when you take this into a space of advertising, you know, if there’s an ad that is AI generated, that is just weird and kind of. [00:16:38] Ashleigh Vogstad: Tweaking for you. [00:16:39] Vince Menzione: Like that robot we were talking about earlier, [00:16:41] Ashleigh Vogstad: like the robot we were Exactly, yeah. Like Sophia, you enter what psychologists call the uncanny valley, so it’s like what you’re looking at isn’t exactly what you’re expecting to see and the Spidey sense is, is tweaking. You know, that’s a low place of emotional resonance. [00:16:58] Ashleigh Vogstad: This world is changing really, really quickly and we’re seeing AI generated media make huge impacts in the market Now, tools like Luma Dream Machine, I mean, it’s incredible what they can achieve today. [00:17:11] Vince Menzione: It’s fascinating. We see it in, you know, I spend a lot of time on LinkedIn. That’s sort of the world of our business community, and you can very easily detect when someone is doing a post. [00:17:22] Vince Menzione: Or they’re writing an art, whatever they’re doing. Right. Some type of draft of something. Uh, and you can tell when it’s ai, I mean, it’s so easy to tell, and even people are generating reports and claiming that their research papers or studies or whatever they call them, uh, and it’s AI generated and it’s just the authenticity isn’t there. [00:17:39] Vince Menzione: The, the sense that this is real. That it can be trusted is not there. And I think trust is what we’re talking about here too, as well. [00:17:47] Ashleigh Vogstad: Yeah. I mean, let’s go to authenticity ’cause that’s super important. Yeah. And I know a lot of your listeners, you come from the hyperscaler world of partnerships. You need to have that differentiated, better together story. [00:17:59] Ashleigh Vogstad: Yeah. It’s really important to have an authentic voice in market. And I think about that also in terms of platforms and channels. We’re seeing a decrease in certain major social media platforms, and yet Substack spiked 48% in monthly active users last month. [00:18:15] Vince Menzione: That’s [00:18:16] fascinating. [00:18:16] Ashleigh Vogstad: Um, you know, and I think that one of the reasons is it’s viewed as a more authentic channel where you’re getting thought leadership from people that you’re, you know, genuinely interested in hearing their, their points of view. [00:18:28] Ashleigh Vogstad: And I think that’s really an important piece in here. [00:18:31] Vince Menzione: Yeah, you mentioned this yesterday and you had me thinking about it as well because we have used LinkedIn for everything internally, our newsletter, which has been around for six or seven years now. But that Substack is really, and I go to Substack too, to, if I really wanna dig in on a topic. [00:18:47] Ashleigh Vogstad: Mm. [00:18:47] Vince Menzione: And there’s a particular author that I like their point of view, I’ll follow, I’ll follow them on Substack. [00:18:53] Ashleigh Vogstad: Yeah. I mean, and this comes, maybe brings us around to who is the buyer and who is the audience, and who do we need to be thinking about when we’re designing sales and marketing programs. And really we’re, we’re shifting into the place of the Gen Z buyer by 20 30, 70 5% of buyers are gonna be Gen Z. [00:19:12] Ashleigh Vogstad: They’re gonna control 12 trillion in. Spend [00:19:16] Vince Menzione: by 2030. ’cause we, we’ve been, we’ve been saying that the millennial is the new buyer the last three years. I think Jay said it right here at this stage. [00:19:23] Ashleigh Vogstad: Mm. [00:19:24] Vince Menzione: Um, so now it’s Gen Z. [00:19:27] Ashleigh Vogstad: And they’re buying online. Yeah, they’re buying in marketplaces. Yeah. So a stat recently was that roughly half of them made purchases on the social platforms of YouTube, Instagram, or TikTok in the last month. [00:19:39] Ashleigh Vogstad: I mean, that buyer behavior of being inside. Social type application and directly making a purchase. And I think in the B2B world, we need to take lessons from here and start thinking more front and center than we even have been around marketplaces. I mean, part of my reason for being in Silicon Valley this week was to celebrate a $12 million transaction that happened via Marketplace and two years ago that would’ve been a huge deal. [00:20:06] Ashleigh Vogstad: Huge, [00:20:07] Vince Menzione: huge. [00:20:07] Ashleigh Vogstad: And, and it still is a really big deal, but these things are becoming. More and more common experiences. Very much so. We need to be there and in that conversation. [00:20:16] Vince Menzione: So how are you thinking about it? How are you directing your clients to behave or act around it? What are you, what are you doing exactly that we could take to this community perhaps and share with them. [00:20:28] Ashleigh Vogstad: I’ll bring it back to the authenticity piece because you need to have a product that delivers value first and foremost. There is, there is no substitution for that. Yeah, and what I would say is. One of my professors at Oxford, Eric Zow, he has this theory that I’m really digging into and finding very fascinating, which is that for the last several decades we’ve been in the attention economy, and that’s shifting to the trust economy. [00:20:55] Ashleigh Vogstad: Now the attention economy is about selling to human beings. Yeah. It’s about the, the business model is essentially that you need human being eyeballs on lists of recommendation links. Yeah. Whether that’s from Google or from, you know, searching, shopping on Amazon, you get this list of recommendation links and the economic engine that drives that business model is advertising. [00:21:19] Ashleigh Vogstad: Now, if you look at something like the Amazon versus Perplexity lawsuit, the whole underlying premise is around the shift of no longer selling to humans directly, but of selling to machines, or in other words, agents who are making purchases, s on behalf on your behalf. And an agent isn’t going to be razzle dazzled by some inauthentic story. [00:21:44] Vince Menzione: Yeah. [00:21:44] Ashleigh Vogstad: They’re gonna be looking for third party validation on Exactly. You know, they need to be sure that they’re making the right decision. [00:21:51] Vince Menzione: They’re gonna look at surveys, they’re gonna look at customer comments. Like if I went through my Amazon site and I was looking to see what people said about the purchase or the product and specifically Exactly. [00:22:01] Vince Menzione: The agent’s gonna do this on my behalf, is what you’re saying. [00:22:04] Ashleigh Vogstad: This is what I’m saying. Yeah. And, and. I believe that to layer on top of, you know, Eric Z’s philosophy, I’ve been thinking about this in terms of the hyperscaler world, and I think that this is the time to lean into co-selling partnerships. [00:22:18] Ashleigh Vogstad: Yeah, because being third party validated by somebody like AWS Microsoft and having all that co-sell data, what are your recent wins? Yes, that’s really high integrity, trusted data source for an agent to make a purchasing decision, and marketplaces are a key part of that. [00:22:35] Vince Menzione: So we’ll move from AI will take a, a more active role in the marketplace. [00:22:40] Ashleigh Vogstad: I definitely believe so. [00:22:42] Vince Menzione: Which makes total sense. I, you know, we’ve been doing this for nine or 10 years now, and when I was at Microsoft, we started co-selling. In fact, it was, uh, Aaron Feiger was up on stage yesterday talking about it. Right? January of 2016, co-selling began. [00:22:55] Ashleigh Vogstad: Mm. [00:22:56] Vince Menzione: And there were only a few companies doing it. [00:22:59] Vince Menzione: Right. So she worked with one of the very first ones that were doing it. Uh, the challenge we have today is there are tens of thousands of partner organizations in the marketplace that are all trying to get the attention of the Microsoft sellers. Hmm. As, or the Google sellers or the AWS sellers and tell their story. [00:23:19] Vince Menzione: And a seller only has so many minutes in a day, they have a quota that they have to hit. These quotas are tens, if not hundreds of millions of dollars of annual quota of cloud consumption. And I wanna sell my $50,000 widget, whatever it is. Yeah. Right. And I, I don’t understand why I’m not getting a callback. [00:23:38] Vince Menzione: And this, this is the dilemma we’ve faced because of, because of this, uh, scarcity of time and this over overwhelming of tech, you know. Tech, tech buyers trying to make this all happen, so now the AI can come in and help me solve for it as a seller, right? [00:23:55] Ashleigh Vogstad: The AI is definitely acting as an interface to make recommendations to field sellers in different organizations and. [00:24:04] Ashleigh Vogstad: To, to kind of take this on a, a tangent. Dupes. So a dupe. I know people of my generation, we’d think about this like a knockoff Right. You know, a knockoff handbag. [00:24:15] Vince Menzione: Yep. [00:24:15] Ashleigh Vogstad: Dupes have exploded. [00:24:16] Vince Menzione: Fake. Fake Rolexes. [00:24:18] Ashleigh Vogstad: Exactly. The fake Rolex for sure. And I think it was in December, P WC rolled out a survey. 81% of Gen Z were planning to purchase a dupe this holiday season. [00:24:29] Vince Menzione: That’s wild. [00:24:30] Ashleigh Vogstad: Dupes can be, you know, we gave luxury, good examples, but Louis [00:24:34] Vince Menzione: Vuitton and yeah. So, [00:24:35] Ashleigh Vogstad: but furniture, these sorts of things. And the important takeaway here for tech is the same principle will land, is that people are looking for value out of a product, not necessarily a name brand. AI is accelerating this whole process, and agents are gonna be looking at the same thing. [00:24:56] Ashleigh Vogstad: They’re looking for that authenticity in terms of the actual product value. So, you know, beware there’s lots of disruption happening in the market right now with this dupe mentality, which is actually a cultural shift talking about I appreciate value over a superficial. Brand name. In some cases, there’s also a, a small contrary trend where certain luxury goods are rising because yes, things are never that simple. [00:25:22] Vince Menzione: So you work with a lot of these tech companies, a lot of SaaS companies, is we, we call them ISVs, we also call them, uh, software development companies. Now we keep changing these acronyms around. Uh, there’s been a lot of, uh, consternation in that segment, I would say, around ai. Right, because a lot of them are getting told that they’ll be outta business in a few years. [00:25:43] Vince Menzione: Mm-hmm. I think Satya Nadella famously said this last year that SAS will go away. Right? He’s predicting the demise. How do you help some of these organizations to differentiate? And there’s some of these are huge value organizations. We have have them in the room with us, ServiceNow and Veeam and Adobe. [00:26:01] Vince Menzione: Um, how do you help them achieve their results? ’cause that’s what you, you know, your organization is really helping these organizations to achieve their pinnacle as a partner. What do you, what do you say to them now and how do you help them through this time? [00:26:16] Ashleigh Vogstad: I’m on the side of the fence that I really can’t see an organization ripping out something like Salesforce, Adobe, ServiceNow. [00:26:24] Vince Menzione: Agreed. [00:26:24] Ashleigh Vogstad: I mean that the amount of change management and. The extent to which these, these platforms are embedded, actually running and operating organizations. I personally, if, if we’re calling those companies, SaaS companies, I don’t agree that that layer is gonna go away. I mean, we’re seeing these organizations lean into AI in a huge way to borrow Microsofts. [00:26:50] Ashleigh Vogstad: Term, you know, they’re all becoming frontier firms. [00:26:54] Vince Menzione: Yes. [00:26:54] Ashleigh Vogstad: So where I would go to, to answer that question, we do work with many, you know, organizations on that caliber, on things like their marketplace strategy on how to light up the fields of different hyperscalers. It really does come down to things like having a strong drumbeat with the Microsoft field, celebrating your win stories. [00:27:15] Ashleigh Vogstad: Maybe that’s where I’ll land as Please do the marketer, because it sounds so simple, and I don’t know why we kind of continue to come back to this, but we’re talking about that third party validation and really, um, in order to have that, like what the hyperscalers want is you jointly celebrating success. [00:27:36] Ashleigh Vogstad: Here’s the kicker. Publicly. [00:27:38] Vince Menzione: Publicly, [00:27:39] Ashleigh Vogstad: you know, you need a customer story on your website, a press release that contains a quote from your customer. Ideally, also a quote from an executive at one of the hyperscalers. Like, actually lean in to live the value of your better together story. And when you do that, when you, when it comes around to partner of the year time, and we talk to you about, okay, what client stories are we gonna feature? [00:28:03] Ashleigh Vogstad: We’re even gonna know because when we Google you, we can see the public press of the joint wins that you’ve been celebrating. And I can tell you that that is a huge indicator on whether or not you’re well-placed to be in the 4% of partners who actually win Partner of the Year award’s. [00:28:20] Vince Menzione: Fascinating to me. [00:28:21] Vince Menzione: ’cause to me it would feel like table stakes maybe ’cause where we sit is ultimate partner and where this room sits with all the top partners that I just assume that everybody follows that. That, that guidance. [00:28:34] Ashleigh Vogstad: Mm. [00:28:34] Vince Menzione: And so this is really impactful and I want to get here because I know you spent a lot of time here and we’ve talked about it before, but I think the partner of the year awards, when we first met many years ago, that was a you, you’ve expanded the business, but that’s still a core mission and and value that you bring to the community and to the partner ecosystem is helping them through this process. [00:28:55] Vince Menzione: So I know that that’s gonna be coming up soon, so I thought maybe we’d spend a couple moments on that. [00:29:00] Ashleigh Vogstad: Partner of the Year awards, regardless of which partner, I mean, Salesforce has their own awards there. There’s more and more award programs coming out, and they’re a great way to celebrate the incredible work that your organization has done. [00:29:13] Ashleigh Vogstad: Jay McBain is brilliant on this. He’ll talk a lot about the increase in valuation. Yeah. The, the increase in stock valuation or the likelihood that if you’re looking to be acquired, that you’re acquired within 12 months of a partner of the year win it. It’s really impressive. There is strong business value there. [00:29:33] Vince Menzione: He like, he likes, he likes to tell the story of that when the award is handed to them and they go back into the audience, that the private equity people are all over them right then and there and making offers. I mean, that’s the visual that you get [00:29:47] Ashleigh Vogstad: and it’s very powerful. Yeah. Very powerful. It’s very powerful and it, it can make it worthwhile to invest in the process, but don’t invest in the process if you haven’t been investing in the process for the 12 months. [00:29:57] Ashleigh Vogstad: Prior, [00:29:58] Vince Menzione: exactly. [00:29:58] Ashleigh Vogstad: The Microsoft field or you we’re talking about Microsoft Partner of the Year Awards. They need to know about your win that that needs to be top of mind for them. Yeah. How much Azure revenue is it driving? Was it a huge marketplace? Build sales and. You know, one of the questions I get asked a ton, everybody wants to know how do we get money out of the hyperscalers? [00:30:20] Ashleigh Vogstad: How do I get access to marketing development funds or all these different programs? Yeah. You know, at Microsoft, some of these programs are like EI and customer investment funds or Azure Accelerate, you know, and there’s millions and millions and millions of dollars in these, these buckets of funds, but. [00:30:36] Ashleigh Vogstad: An interesting point of view is that it’s actually a scorecard metric for many people at Microsoft who have partnership roles for you to be drawing down those funds. [00:30:45] Vince Menzione: Yes. [00:30:45] Ashleigh Vogstad: You know, your interests are actually aligned here, and so again, when it comes to Partner of the Year awards, how much money have you pulled down? [00:30:54] Ashleigh Vogstad: How much have you been an activating partner of key Microsoft programs that they’re pushing? What are you doing with marketplace rewards? How are you resing? Those into your business. These are the types of things that you really wanna be thinking about. Sitting it. You know, this time of year we probably will get the awards were likely be due in July. [00:31:13] Ashleigh Vogstad: They haven’t officially announced timelines, but you’ve got a few months to start moving these pieces into place. [00:31:18] Vince Menzione: And there are quite a few of them. And to your point, Nina, when she was up on stage here yesterday, there were at least 10 or 12 award. Uh. Funding categories that were on her, that were on her slide. [00:31:31] Vince Menzione: Her partner, her partner slide. So, [00:31:33] Ashleigh Vogstad: and what great looks like for a partner is that you understand your end-to-end funnel as it is mapped to Microsoft’s SEM model, the Microsoft customer Engagement model. Mm-hmm. The first stage there, inspire and design. That’s really the marketing space of lead generation. [00:31:50] Ashleigh Vogstad: So how are you generating leads with webinars, in-person, event activations, digital campaigns, and then at the very end, in the fifth column, you have the Microsoft outcomes that you’re driving. Yes. Whether that’s Azure consumed revenue, marketplace build sales, co-pilot, monthly active usage, these sorts of things. [00:32:10] Ashleigh Vogstad: And in each of those SEM swim lanes. There’s Microsoft funding associated to it. And that’s one of the things that Nina Harding was showing yesterday. When and where does it make sense to make requests for EA funds versus Azure accelerate the MCI funding? There’s different workshop proof of concept funding, and those all fall at specific stages in that EM model. [00:32:33] Vince Menzione: And what you’re also pointing out in this conversation is that the co the partners need to understand that mm, they need to understand MM. We talked about it years ago. I’ve had, haven’t had anybody on stage recently talk about m You could probably take us through that if we wanted to devote some time here, uh, and then understand all of those categories and how to access those funds. [00:32:52] Ashleigh Vogstad: Yeah, it’s critical and. The number one place we point partners, if you want a quick overview of what that looks like is to Microsoft’s FY 26 solution playbooks. Nice. They’re available on the web for download. There’s, well, there used to be three, but they’ve added a few agen being, being one. So, so there’s a handful of, they had [00:33:11] Vince Menzione: simplified it, now they’re, now they’re expanding it back again. [00:33:14] Ashleigh Vogstad: Yeah, exactly. I think there’s now a breakout for security as well. Yes. So take a look at those playbooks. It will map programs and incentives very specifically to each solution area and to each sales play that are gonna be available to you. And then we’re always happy to guide people through the details [00:33:32] Vince Menzione: as well. [00:33:32] Vince Menzione: I love that. I love that. And reach out to the. Ashley is just amazing at this process. I’ve, I’ve watched her for years now, work with some of the top, what have become the pinnacle partners of Microsoft and with the award season coming up. So we wanna make sure we have a plug there. But I also wanna talk about like, podcasts with you. [00:33:50] Vince Menzione: Um, you’ve been on this podcast multiple times, been in the studio before doing this, and I understand you have your own podcast now. So tell us about that. [00:33:58] Ashleigh Vogstad: Yeah, Vince, I just wanna say. As a friend and a mentor. You’ve been so inspiring. Thank you. And I think from years ago when we met, there was this seed in my brain of, you know, I, I should really get out there. [00:34:13] Ashleigh Vogstad: And you talk a lot about growth mindset and fear setting is, is one of Tim Ferriss’s terms? Yes. And models. [00:34:21] Vince Menzione: I love Tim Ferris. I’ve been, been a fan of his for 10 years now. So that’s settled. We all got started with this. Sorry. Sorry, I [00:34:26] Ashleigh Vogstad: interrupt. No, no, not at all. [00:34:27] Vince Menzione: Yeah. [00:34:28] Ashleigh Vogstad: And. I think it’s just been, it’s been back there. [00:34:31] Ashleigh Vogstad: Yeah. That I’m really passionate around having voice is how I think about it. And as a marketing agency, we’re really amplifying the voice, um, or helping companies to find their voice, particularly in hyperscaler partnerships. And what better way to assist, you know, authentically the amazing people in our network, in our community and our clients than with our own channel where we can celebrate their stories and success? [00:35:00] Vince Menzione: Very cool. [00:35:01] Ashleigh Vogstad: So the podcast is called Transcending Tech. It’s about [00:35:06] Vince Menzione: very cool transcending tech. Just so you don’t [00:35:08] Ashleigh Vogstad: transcending tech. [00:35:08] Vince Menzione: It’s out there now. [00:35:10] Ashleigh Vogstad: It, we just released our first episode. Okay. I think two days ago. [00:35:13] Vince Menzione: So by the time we’re live, yes. We’ll, we’ll be able to access it. Good. [00:35:17] Ashleigh Vogstad: You will be able to access it. [00:35:18] Ashleigh Vogstad: The first episode is with Alyssa Fit. Patrick from Elastic. [00:35:21] Vince Menzione: Oh my goodness. [00:35:22] Ashleigh Vogstad: And the concept of the podcast, it’s long form and it’s really about getting to the people behind the platforms. [00:35:29] Vince Menzione: Very cool. [00:35:29] Ashleigh Vogstad: And to the stories that transcend technology. So we’re here to get to know the human beings behind. Agents. [00:35:38] Vince Menzione: Yeah. [00:35:38] Ashleigh Vogstad: And taking the time to, to go in deep and really explore that. [00:35:43] Vince Menzione: So I am excited to see all the developments here with the, with the podcast. And you’re gonna be joining us again. You were just here, you in Boca. But you’ll be joining us again in Bellevue. Not too far a little bit. Closer ride or travel, uh, for you to come to Bellevue. [00:35:57] Vince Menzione: We’re gonna be hosting the first ultimate partner live, which is our larger events in this beautiful facility, this new Intercontinental hotel, which is fabulous. And, uh, you’re gonna be taking a more active role. Your leadership around AI is. Palpable and we’re gonna love to have you on stage and talking through some of the changes. [00:36:17] Vince Menzione: I, I suspect by the time we get to Bellevue we’ll have a lot more to talk about. That hasn’t even happened yet. [00:36:23] Ashleigh Vogstad: Yeah, I’m really excited. I’ll have been through my next cohort at at Oxford, kind of coming out hot from there back to the Pacific Northwest, and really excited to just share the learnings and Awesome. [00:36:35] Ashleigh Vogstad: Genuinely. It’s also helping me in my own research, really formulate particularly around the role of ag agentic AI in hyperscaler partnerships. [00:36:43] Vince Menzione: That’s so cool. And then what I’ll say is this, and I don’t know, we on the space perspective, and I’ll, the team will probably hang me for this because we haven’t done it yet, but if you wanna bring the podcast along with you, there might be, we’ll see if we can find an extra room for you to set up. [00:36:58] Vince Menzione: If you wanna do some interviews while you’re. In, at the event. So [00:37:02] Ashleigh Vogstad: you’re so generous, Vince. [00:37:03] Vince Menzione: That’s [00:37:04] Ashleigh Vogstad: amazing. [00:37:04] Vince Menzione: Thank you. Again, I can’t say for certainty yet, but, uh, let’s see, let’s see what happens with that. So, uh, let, let’s, uh, you know, I always, we, we have known each other for years and I just assume everybody knows this amazing Ashley sda. [00:37:19] Vince Menzione: But, um, we always, I like to ask this question because it helps us kind of dig in a little bit about you personally. And it’s my favorite question. I ask all my guests this question now, and it’s, um, you’re hosting a dinner party, Ashley, you are, pick a pace, place, you wanna have this dinner. We could talk about parts of the world. [00:37:36] Vince Menzione: You’ve traveled all extensively. Uh, and you can invite any three people, guests from the present. Or the past to this amazing dinner party you’re throwing. Whom would you invite and why? [00:37:52] Ashleigh Vogstad: It’s a beautiful question, Vince and. Instantly I go to a place in terms of the location, since you asked that part, which was surprising. [00:38:01] Ashleigh Vogstad: I, I like that is my home. I, I love where I live up in Whistler, Canada and [00:38:08] Vince Menzione: I hear it’s beautiful. I haven’t been yet, [00:38:10] Ashleigh Vogstad: it’s so gorgeous and it’s, it’s my own sanctuary. You know, I live on a plane 75% of the time and coming back to that place is really grounding for me. Yes. So, so I would love to have it at, at my home and to invite. [00:38:24] Ashleigh Vogstad: Pippa Malrin would be one. She, Pippa [00:38:26] Vince Menzione: Malrin. [00:38:27] Ashleigh Vogstad: Yeah. She’s sure. I get an advisor to the White House for many administrations. Okay. She’s an economist and she just has really interesting perspective on geopolitics. Uh, I follow her on Substack ’cause she’s a big substack. Okay, now [00:38:41] Vince Menzione: I need to look. This is awesome. [00:38:42] Vince Menzione: The [00:38:43] Ashleigh Vogstad: mal, she’s fantastic. I would say Dr. Lisa Sue, the CEO, Dr. Lisa of a md. [00:38:49] Vince Menzione: Okay. Yes, yes. I know a little bit about her. [00:38:51] Ashleigh Vogstad: So she was one of Time Mag, I think she was the only woman in Time Magazine’s, group of people of the year, which was basically this AI cohort in including, you know, the Elon Musks of the world. [00:39:03] Ashleigh Vogstad: Uh, it’s just so impressive what she’s doing with leadership in a MD. I don’t think it’s as public as. Anybody else who is on the cover of that magazine, but it’s incredibly powerful. [00:39:14] Vince Menzione: Yeah, they’ve made a com uh, turnaround’s probably not the right word, but it seems like they’ve made a tremendous, uh, gains turnaround probably in the last few years. [00:39:23] Ashleigh Vogstad: I would say that many would say turnaround. And then lastly is Dr. Fefe Lee, who. For those in the AI space, particularly AI research space. I mean, she’s arguably number one. Um, she’s leading at Stanford currently. [00:39:37] Vince Menzione: Wow. This is gonna be a heady conversation, but you know, I love conversations. So if you don’t mind, maybe I’ll bring dessert and come, come in for a few moments, maybe do some podcast interviews there. [00:39:48] Vince Menzione: How’s that? [00:39:49] Ashleigh Vogstad: That sounds absolutely perfect, Vince, [00:39:50] Vince Menzione: so, so good. So good to have you here today. So great. Good to have you in the studio again, and, uh, excited for transcends and all the great work you’re doing. Um. This time with ai. I think you, uh, we talked about this a little bit last night. I think you’ve made some really wise, personal and professional decisions about how to lead and how to take this forward and not kind of rest on your laurels, which you see so many organizations do People fear change [00:40:17] Ashleigh Vogstad: Hmm. [00:40:18] Vince Menzione: And you embrace it, which is just, it’s astounding to me that you do that and, um. I look forward to working with you in the future and for years and years to come. So I will ask you one more question though, because we are still at the precipice of these tectonic shifts and we’re still early in 2026. And so for our listeners and our viewers today, what would be the one thing you would tell them that they need to go do now that possibly they haven’t done yet as they prepare for 2026 and beyond? [00:40:52] Ashleigh Vogstad: The generic phrase would be, be curious, but if we want an action, it would be go build an agent. [00:40:59] Vince Menzione: Go build an agent [00:41:00] Ashleigh Vogstad: if, if you haven’t already. Yeah. And, and I’m, yeah. Speaking hopefully to like a business audience, you know, to, to anyone. Yeah. Really, um, find something that is interesting that you’re passionate about. [00:41:12] Ashleigh Vogstad: A, a use case that it doesn’t have to be some big thing. It could be quite mundane, but just something that’s gonna help you in your role. It’s, you know, what is creativity is an interesting question, and I can tell you that sitting down and hands-on keys and actually creating something is, is a beautiful, powerful experience. [00:41:32] Vince Menzione: Yeah. Awesome. All right. We’re all gonna go create agents this weekend, so thank you for listening. Thank you for viewing the Ultimate Guide to partnering on our YouTube channel, ultimate Partner, and on each end of your platforms at the Ultimate Guide to partnering. Thank you for being with us and supporting us all these years. [00:41:50] Vince Menzione: Thank you. Don’t forget, ultimate Partner Live is coming soon, May 11th through the 13th in beautiful Bellevue, Washington. I hope to see you there.

Welcome to the Scale Your Insurance Agency podcast! Today, we tackle a pressing question: Are you the orchestra conductor of your agency, or are you still the first violinist? In this post, we'll explore the necessary leadership mindset to scale your independent insurance agency, focusing on the transition from being the top producer to leading your team effectively. If you find yourself overwhelmed and doing everything, this guide will help you make the shift toward successful agency scaling.Key takeaways:The conductor of an orchestra represents effective leadership in an agency.Transitioning from operator to leader is essential for scaling.The skills that built your agency won't necessarily help it scale.Machines can remove friction, allowing leaders to design capacity.Accountability is crucial for empowering teams and ensuring execution.Leaders must redesign systems to facilitate growth and efficiency.Trust is built through human interaction, not just automation.Scaling requires simplicity, not complexity.Empowerment without accountability can lead to drift and confusion.Leaders are responsible to their teams, not for them.Chapters:00:00 The Role of Leadership in Scaling Insurance Agencies06:02 Transitioning from Operator to Entrepreneurial Leader11:50 Designing Capacity and Trust in Leadership17:47 Redesigning Systems for Growth24:13 The Importance of Accountability in Leadership30:00 Five Shifts to Become an Entrepreneurial LeaderTo scale your insurance agency effectively, you need to embrace a leadership mindset that prioritizes empowerment, strategic design, and simplicity. The shift from being the first violinist to the orchestra conductor may feel daunting, but it's essential for achieving long-term growth and success. Are you ready to make this transition? Embrace these insights, trust your team, and watch as your agency scales to new heights!Schedule Your Onyx Scaling Session Today: https://upponyx.com/

A 40-year career retrospective of Dame Tracey Emin's work has opened at the Tate Modern in London, featuring many of the artist's most iconic pieces, from her controversial, Turner Prize shortlisted My Bed (1998) to her neon artworks, textiles, bronze sculptures, photos, and paintings. Called A Second Life, it explores the connections and tensions between her early career and the work she's created since 2020, when she was diagnosed with cancer and underwent a huge operation. Tracey joins Anita Rani to discuss her body of work.Student midwives have contacted us to say many of them are struggling to find jobs despite a serious shortage of midwives in the NHS. A new survey from the Royal College of Midwives finds 31% of newly qualified midwives are still not employed in the role, and the majority of those who have found employment are on fixed-term contracts. Nuala McGovern hears from Safia, who is in her final year of midwifery training, and Gill Walton, Chief Executive of the Royal College of Midwives.Molly vs the Machines is a new feature-length documentary that tells the story of Ian Russell and his fight for online safety after his daughter Molly took her own life in 2017 following months of viewing content relating to self-harm and suicide on social media. Molly's friends Charlotte Campbell and Sophie Conlan tell Anita why it was important for them to take part in the film.In collaboration with our Send in the Spotlight podcast, Nuala speaks to Schools Standards Minister Georgia Gould about the government's proposed SEND reforms.Writer and actor Kyla Harris joins Clare McDonnell to discuss reframing disability with her acclaimed BBC comedy We Might Regret This, which she co-created.Presenter: Anita Rani Producer: Dianne McGregor

Adam Ball & Van Connor are back with your ultimate guide to everything cinematic hitting screens for the next seven days - feat. a look at Sirat, Molly vs The Machines, EPiC: Elvis Presley in Concert, Palestine Comedy Club and The Testament of Ann-Lee. Learn more about your ad choices. Visit megaphone.fm/adchoices

Jim talks with cognitive scientist and AI researcher Joscha Bach about the computational and representational foundations of consciousness, mind, and reality. They discuss the phenomenology of waking up and coalescing into a self, language as a representational architecture and natural language as "a genre of music," the brain as a game engine constructing a simulated world, the "feeling of realness" as a hallucination, "to be real means to be implemented" as a criterion for reality, money as an AI and a mechanism for reward allocation, the need for multi-dimensional organizational signaling beyond money, the apparent reversibility of the universe as an emergent observational artifact, the block universe and its incompatibility with stacked emergence, causality as a model property and retrocausality at the level of agents, computation vs. the simulation hypothesis, the brain's object engine and the perceptual choice to see textures vs. named objects, aphantasia and metacognition about perception, why only simulations can be conscious, Christof Koch's shift from physicalism to panpsychism and the unreliability of revelatory mental states, consciousness as second-order perception distinct from selfhood, panpsychism's resurgence and its failure to formalize "the consciousness of a particle," consciousness as happening at neuronal communication speeds, intelligence vs. consciousness as relatively orthogonal dimensions, the Waymo as highly intelligent but not conscious, François Chollet's argument that deploying skills is not itself intelligent, consciousness as a consensus algorithm analogous to blockchain, whether a bacterium or a cat needs a self-model to achieve coherence, emotion and motivation as core to cognition in MicroPsi, Karl Friston's free energy principle and its limits at higher emergent levels, humans as "multicellular at the next level" forming transcendental agents, the global optimum of collectively enacted agency as "God" as the ultimate source of meaning, and much more. Episode Transcript California Institute for Machine Consciousness (CIMC) Principles of Synthetic Intelligence, by Joscha Bach JRS EP 72 - Joscha Bach on Minds, Machines & Magic JRS EP 87: Joscha Bach on Theories of Consciousness - JRS EP Currents 83: Joscha Bach on Synthetic Intelligence Joscha Bach is a cognitive scientist and AI researcher, and the founder of the California Institute for Machine Consciousness. In the past, he researched and taught at Humboldt University of Berlin, the Institute of Cognitive Science in Osnabrück, MIT Media Lab, the Harvard Program for Evolutionary Dynamics and Intel Labs. He has helped build several startups and created the cognitive architecture MicroPsi, which studies the relationship between emotion, motivation and cognition. He currently lives in the Bay area in California.

Before the rise of smartphones, voicemail, and texting, the way we avoided missing important calls was with a tape recorder plugged into the wall. Now nearly extinct, the answering machine used to be standard equipment in most every home. In this episode, we remember this abandoned tech and the role it played in our lives. Patreon » patreon.com/genxgrownupDiscord » GenXGrownUp.com/discordFacebook » fb.me/GenXGrownUpTwitter » GenXGrownUp.com/twitterWebsite » GenXGrownUp.comPodcast » GenXGrownUp.com/podMerchandise » GenXGrownUp.com/merchShop » genxgrownup.com/amazonTheme: “Grown Up” by Beefy » beefyness.com iTunes » itunes.apple.com/us/podcast/genxgrownup-podcast/id1268365641Google » play.google.com/music/listen#/ps/Iuthetoh4i5abybbnn4em36icwiPocket Casts » pca.st/8iuLStitcher » www.stitcher.com/s?fid=146720&refid=stprTuneIn » tunein.com/radio/GenXGrownUp-Podcast-p1020342/Spotify » spoti.fi/2TB4LR7iHeart » www.iheart.com/podcast… Show Notes The Evolution of Answering Machines – An Interactive Timeline » bit.ly/3dlHYUG The History of the Answering Machine » bit.ly/39sgo7a 88 Creative Answering Machine Messages » bit.ly/3whSrZI 21 Funny Answering Machine (Voicemail) Messages » bit.ly/3ub17iY Email the show » podcast@genxgrownup.com Visit us on YouTube » GenXGrownUp.com/yt Learn more about your ad choices. Visit megaphone.fm/adchoices

It's Thursday - the day before a very special day involving a Colin. Need we say more? Before we get to Colin, Jane and Fi cover cheerful train drivers, dobbing in your neighbours, disposing of deceased pets, and the fickle nature of muslin. There are also a few parish notices, including mention of a new playlist… Plus, Ian Russell, father of Molly Russell, discusses the upcoming documentary Molly vs the Machines. Our next book club pick is 'A Town Like Alice' by Nevil Shute.Our most asked about book is called 'The Later Years' by Peter Thornton.You can listen to our 'I'm in the cupboard on Christmas' playlist here: https://open.spotify.com/playlist/1awQioX5y4fxhTAK8ZPhwQIf you want to contact the show to ask a question and get involved in the conversation then please email us: janeandfi@times.radioFollow us on Instagram! @janeandfiPodcast Producers: Eve SalusburyExecutive Producer: Rosie Cutler Hosted on Acast. See acast.com/privacy for more information.

In this episode of the Healthy Living Scottsdale podcast, Coach Adam sits down with Coach Jolie and Coach Brande to break down the pros and cons of free weights vs strength training machines. The team explains why Legacy prioritizes dumbbells, kettlebells, and barbells over traditional gym machines, highlighting the benefits of improved stability, core engagement, coordination, and real-world functional strength. They discuss how free weight training better supports longevity, balance, and confidence both inside and outside the gym, especially as we age. While machines can have a place in early rehabilitation or for absolute beginners, the conversation makes it clear why functional strength training builds a stronger, more capable body for everyday life.

Plus, making the mundane sacred, meditating in a cave, and lowering the ego walls. Michael Pollan is the author of ten books, all of which were New York Times bestsellers. His latest book is A World Appears: A Journey Into Consciousness. In this episode we talk about: How to get over yourself How to reduce rumination How to lower the ego's walls How to elevate mundane tasks The value of what Zen practitioners call "don't know mind" How to reclaim your attention from Big Tech (what Michael calls the "colonizers of consciousness") The value of MDMA-assisted therapy Michael's experiences meditating in a cave Related Episodes: Don't Let This Crisis Go To Waste | Roshi Joan Halifax Get the 10% with Dan Harris app here Sign up for Dan's free newsletter here Follow Dan on social: Instagram, TikTok Subscribe to our YouTube Channel To advertise on the show, contact sales@advertisecast.com or visit https://advertising.libsyn.com/10HappierwithDanHarris  

Investor and entrepreneur Kevin Steuer joins me to examine whether Main Street investors can compete in a market dominated by algorithms—and whether competing is even the right goal.Most investing conversations reduce themselves to slogans: “Just buy index funds” or “Learn to trade like the pros.” This episode does neither. Kevin and I unpack the uncomfortable reality that nearly 90% of U.S. equity volume is now algorithmic—and what that means for individuals trying to generate alpha in a machine-driven market.Kevin shares how he acquired Stock TA, a technical analysis platform that had previously been shut down, and why he chose to rebuild it. We explore trend-following versus value investing, passive allocation versus active sector rotation, and the psychology that sabotages most retail traders long before the market does.The conversation moves beyond tactics into something deeper: the cost of time. At what point does investing become another job? When does persistence turn into hubris? And how do you measure expected value—not just in portfolio returns, but in hours spent chasing marginal gains?This isn't a promise that trading beats indexing. It's a sober look at risk, discipline, asymmetric bets, and the reality that markets don't reward narratives—they reward positioning.The lesson isn't that everyone should trade.It's that if you do, you need structure, probabilities, and the humility to know what game you're actually playing.TL;DR* ~90% of U.S. equity volume is algorithm-driven* Retail traders compete against rule-based systems, not other humans* Passive indexing may outperform most active traders long-term* Trend-following requires discipline—not prediction* False breakouts and stop hunts erode returns* Scaling into and out of positions reduces emotional decision-making* Expected value matters more than win rate* Time spent trading is an invisible cost most ignore* Persistence without edge becomes hubrisMemorable Lines* “The human brain doesn't think like a computer.”* “The price of anything can be anything.”* “Escalator up, elevator down.”* “Trend exhaustion—not emotion—should trigger exits.”* “If investing becomes a job, calculate the hourly rate.”GuestKevin Steuer — Investor and entrepreneurAcquirer and rebuilder of Stock TA, a technical analysis platform focused on trend scores, confluence levels, and sector-based strategy to help Main Street investors navigate algorithmic markets.

Health systems have spent 20 years optimizing for the patient who searches, clicks, and reads. They are not optimizing for the agent that queries, evaluates, and routes. Those are two different audiences — and most organizations are only ready for one of them. The digital front door was built on a human assumption: that discovery begins with a search, passes through a website, and ends in conversion. Agentic AI doesn't use doors. It uses structured pathways, machine-readable attributes, and decision logic that operates entirely outside your owned channel. The routing is already happening. The question is whether health systems are in the decision set - or invisible to it. The infrastructure making this possible isn't speculative. Model Context Protocol (MCP), now an open standard backed by Anthropic, OpenAI, and Google DeepMind, defines how AI agents connect to external tools and data sources. NLWeb, launched by Microsoft in May 2025, turns websites into machine-queryable endpoints. Together, they create an execution layer on top of your digital ecosystem. And most hospital websites aren't built to be legible to it. Chris Boyer and Reed Smith work through what this shift actually requires: Why the patient journey now runs conversation → AI interpretation → machine routing → conversion — and health systems control only the last step What breaks when machines encounter unstructured provider bios, inconsistent service line naming, and scheduling availability gaps Why brand strength built on emotional resonance doesn't translate to machine-readable signals — and what does The gap between "78% of health systems engaged in AI projects" and the 52% that feel operationally ready to implement them What a practical machine readiness audit looks like, and who inside the organization should own it The organizational problem is as hard as the technical one. Marketing owns content but rarely owns schema. IT owns infrastructure but rarely thinks in terms of machine-readable patient experience. Someone has to own machine readiness as a cross-functional problem. Right now, almost no one does. If your digital strategy was designed for the patient who searches, clicks, and reads -  it was not designed for the agent that queries, evaluates, and routes. Mentions From the Show:  Dean Browell on LinkedIn Danny Fell on LinkedIn Reed Smith on LinkedIn Chris Boyer on LinkedIn Chris Boyer website Chris Boyer on BlueSky Reed Smith on BlueSky Learn more about your ad choices. Visit megaphone.fm/adchoices

This week on the SKOd we have the results of a long gestating experiment wherein Ryan Poles' 4 drafts do epic battle with 4 truly simple-minded robots (Excel formulas) ((Travis is an accountant, okay?!)) to see who comes out on top. How obvious have his good picks really been? Could he have honestly done much better on his bad picks? Who wins, man or machine?!

In this week's episode, Leslie Heaney sits down with Vasant Dhar—professor at NYU Stern School of Business and the Center for Data Science at New York University, founder of SCT Capital, and author of Thinking with Machines: The Brave New World of AI.Together, they explore how artificial intelligence evolved, why language prediction changed everything, and what it means now that machines can think alongside humans. The conversation examines the growing divide between those who use AI to sharpen judgment and those who rely on it to think for them, as well as the broader implications for work, education, power, and responsibility.This is a grounded, honest conversation about the power of AI—and how we choose to live with it.Hosted on Ausha. See ausha.co/privacy-policy for more information.

“In this sense, human and AI means a synergy where teams of humans and AI together lead to superior outcomes than either the human or the AI operating in isolation.” – Davide Dell'Anna About Davide Dell'Anna Davide Dell'Anna is Assistant Professor of Responsible AI at Utrecht University, and a member of the Hybrid Intelligence Centre. His research focuses on how AI can cooperate synergistically and proactively with humans. Davide has published a wide range of leading research in the space. Webiste: davidedellanna.com LinkedIn Profile: Davide Dell'Anna University Profile: Davide Dell'Anna What you will learn The core concept of hybrid intelligence as collaborative human-AI teaming, not replacement Why effective hybrid teams require acknowledging and leveraging both human and AI strengths and weaknesses How lessons from human-human and human-animal teams inform better design of human-AI collaboration Key differences between humans and AI in teams, such as accountability, replaceability, and identity The importance of process-oriented evaluation, including satisfaction, trust, and adaptability, for measuring hybrid team effectiveness Why appropriately calibrated trust and shared ethics are central to performance and cohesion in hybrid teams The shift from explainability to justifiability in AI, emphasizing actions aligned with shared team norms and values New organizational roles and skills—like team facilitation and dynamic team design—needed to support successful human-AI collaboration Episode Resources Transcript Ross Dawson: Hi Davide. It’s wonderful to have you on the show. Davide Dell’Anna: Hi Ross, nice to meet you. Thank you so much for having me. Ross: So you do a lot of work around what you call hybrid intelligence, and I think that’s pretty well aligned with a lot of the topics we have on the podcast. But I’d love to hear your definition and framing—what is hybrid intelligence? Davide: Well, thank you so much for the question. Hybrid intelligence is a new paradigm, or a paradigm that tries to move the public narrative away from the common focus on replacement—AI or robots taking over our jobs. While that’s an understandable fear, more scientifically and societally, I think it’s more interesting and relevant to think of humans and AI as collaborators. In this sense, human and AI means a synergy where teams of humans and AI together lead to superior outcomes than either the human or the AI operating in isolation. In a human-AI team, members can compensate for each other’s weaknesses and amplify each other’s strengths. The goal is not to substitute human capabilities, but to augment them. This immediately moves the discussion from “what can the AI do to replace me?” to “how can we design the best possible team to work together?” I think that’s the foundation of the concept of hybrid intelligence. So hybrid intelligence, per se, is the ultimate goal. We aim at designing or engineering these human-AI teams so that we can effectively and responsibly collaborate together to achieve this superior type of intelligence, which we then call hybrid intelligence. Ross: That’s fantastic. And so extremely aligned with the humans plus AI thesis. That’s very similar to what I might have said myself, not using the word hybrid intelligence, but humans plus AI to say the same thing. We want to dive into the humans-AI teaming specifically in a moment. But in some of your writing, you’ve commented that, while others are thinking about augmentation in various ways, you point out that these are not necessarily as holistic as they could be. So what do you think is missing in some of the other ways people are approaching AI as a tool of augmentation? Davide: Yeah, so I think when you look at the literature—as a computer scientist myself, I notice how easily I fall into the trap of only discussing AI capabilities. When I talk about AI or even human-AI teams, I end up talking about how I can build the AI to do this, or how I can improve the process in this way. Most of the literature does that as well. There’s a technology-centric perspective to the discussion of even human-AI teams. We try to understand what we can build from the AI point of view to improve a team. But if you think of human-AI teams in this way, you realize that this significantly limits our vocabulary and our ability to look at the team from a broader, system-level perspective, where each member—including and especially human team members—is treated individually, and their skills and identity are considered and leveraged. So, if you look at the literature, you often end up talking about how to add one feature to the AI or how to extend its feature set in other ways. But what people often miss is looking at the weaknesses and strengths of the different individuals, so that we can engineer for their compensation and amplification. Machines and people are fundamentally different: humans are good at some things, AI is good at others, and we shouldn’t try to negate or hide or be ashamed of the things we’re worse at than AI, and vice versa. Instead, we should leverage those differences. For instance, just as an example, consider memory and context awareness. At the moment, at least, AI is much more powerful in having access to memory and retrieving it in a matter of seconds—AI can access basically the whole internet. But often, when you talk nowadays with these language model agents, they are completely decontextualized. They talk in the same way to millions across the world and often have very little clue about who the specific person is in front of them, what that person’s specific situation is—maybe they’re in an airport with noise, or just one minute from giving a lecture and in a rush. The type of things you might say also change based on the specific situation. While this is a limitation of AI, we shouldn’t forget that there is the human there. The human has that contextual knowledge. The human brings that crucial context. Sometimes we tend to say, “Okay, but then we can build an AI that can understand the context around it,” but we already have the human for that. Ross: Yes, yes. I don’t think that’s what I call the framing. Framing should come from the human, because that’s what we understand—including the ethical and other human aspects of the context, as well as that broader frame. It’s interesting because, in talking about hybrid intelligence, I think many who come to augmentation or hybrid intelligence think of it on an individual basis: how can an individual be augmented by AI, or, for example, in playing various games or simulations, humans plus AI teaming together, collaborating. But the team means you have multiple humans and quite probably multiple AI agents. So, in your research, what have you observed if you’re comparing a human-only team and a team which has both human and AI participants? What are some of the things that are the same, and what are some of the things that are different? Davide: Yes, this is a very interesting question. We’ve recently done work in collaboration with a number of researchers from the Hybrid Intelligence Center, which I am part of. If you’re not familiar with it, the Hybrid Intelligence Center is a collaboration that involves practically all the Dutch universities focused on hybrid intelligence, and it’s a long project—lasting around 10 years. One of the works we’ve done recently is to try to study to what extent established properties of effective human teams could be used to characterize human-AI teams. We looked at instruments that people use in practice to characterize human teams. One of them is called the Team Diagnostic Survey, which is an instrument people use to diagnose the strengths and weaknesses of human teams. It includes a number of dimensions that are generally considered important for effective human teams. These include aspects like members demonstrating their commitment to the team by putting in extra time and effort to help it succeed, the presence of coaches available in the team to help the team improve over time, and things related to the satisfaction of the members with the team, with the relationships with other members, and with the work they’re doing. What we’ve done was to study the extent to which we could use these dimensions to characterize human-AI teams. We looked at different types of configurations of teams—some had one AI agent and one human, others had multiple agents and multiple humans, for example in a warehouse context where you have multiple robots helping out in the warehouse that have to cooperate and collaborate with multiple humans. We tried to understand whether the properties of—by the way, we also looked at an interesting case, which is human-animal-animal teams, which is another example that’s interesting in the context of hybrid intelligence. You see very often in human-animal interaction—basically two species, two alien species—interacting and collaborating with each other. They often manage to collaborate pretty effectively, and there is an awareness of what both the humans and the animals are doing that is fascinating, at least for me. So, we tried to analyze whether properties of human teams could be understood when looking at human-AI teams or hybrid teams, and to what extent. One of the things we found is that some concepts are very well understood and easily applicable to different types of hybrid teams. For example, the idea of interdependence—the fact that members in the team, in order to be a team, need to be mutually dependent, at least to some extent. Otherwise, if they’re all doing separate jobs, there’s a lack of common goal. There are also things related to having a clear mission or a clear objective as a team, and aspects related to the possibility of exhibiting autonomy in the operation of the team and taking initiative. Also, the presence and awareness of team norms, like a shared ethical code or shared knowledge about what is appropriate or not. These were things that we found people could easily understand and apply to different configurations of teams. Ross: Just actually, one thing—I don’t know if you’re familiar with the work of Mohammad Hussain Johari, who did this wonderful paper called “What Human-Horse Interactions May Teach Us About Effective Human-AI Interactions.” Again, these are the cases where we can have these parallels—learning how to do human-AI interactions from human-human and human-animal interactions. But again, it comes back to that original question: what is the same? I think you described many of those facets of the nature of teams and collaboration, which means they are the same. But there are, of course, some differences. One of the many differences is accountability, essentially, where the AI agents are not accountable, whereas the humans are. That’s one thing. So, this allocation of decision rights across different participants—human and AI—needs to take into account that they’re not equal participants. Humans have accountability, and AI does not. That’s one possible example. Davide: Yeah, definitely. I totally agree, and I remember the paper you mentioned. I agree that human-animal collaboration is a very interesting source of inspiration. When looking at this paper, we looked at the case of shepherds and shepherd dogs. I didn’t know much about it before, but then I started digging a little bit. Shepherd dogs are trained at the beginning, but over time, they learn a type of communication with the shepherd. Through whistles, the shepherd can give very short commands, and then the shepherd dogs—even in pairs—can quickly understand what they need to do. They go through the mountains, collect all the sheep, and bring them exactly as intended by the shepherd, with very little need for words or other types of communication. They manage to achieve their goals very effectively. So, I think we have a lot to learn from these cases, even though it’s difficult to study. But just to mention differences, of course—one of the things that emerged from this paper is the inherent human-AI asymmetry. Like you mentioned, accountability is definitely one aspect. I think overall, we should always give the human a different type of role in the team, similar to the shepherd and the shepherd dogs. There is some hierarchy among the members, and this makes it possible for humans to preserve meaningful control in the interactions. This also implies that different rules or expectations apply to different team members. Beyond these, there is asymmetry in skills and capabilities, as we mentioned earlier, and also in aspects related to the identity of the members. For instance, some AI could be more easily replaceable than humans. Think, for example, of robots in a warehouse. In a human team, you wouldn’t say you “replace” a team member—it’s not the nicest way to say you let someone go and bring someone else in. But with robots, you could say, “I replace this machine because it’s not working anymore,” and that’s fine. We can replace machines with little consequence, though this doesn’t always hold, because there are studies showing that people get attached to machines and AI in general. There was a recent case of ChatGPT releasing a new version and stopping the previous one, and people complained because they got attached to the previous version. So, in some cases, replacing the AI member would work well, but in others, it needs to be done more carefully. Ross: So one of the other things looked at is the evaluation of human-AI teams. If we’re looking at human teams and possibly relative performance compared to human-AI teams, what are ways in which we can measure effectiveness? I suppose this includes not just output or speed or outcomes, but potentially risk, uncertainty, explainability, or other factors. Davide: Yes, this is an interesting question, and I think it’s still an open question to some extent. From the study I mentioned earlier, we looked at how people measure human team effectiveness. There are aspects concerning, of course, the success of the team in doing the task, but these are not the only measures of effectiveness that people consider in human teams. People often consider things related to the satisfaction of the members—with their teammates, with the process of working together, and with the overall goals of the team. This often leads to reflection from the team itself during operation, at least in human teams, where people reassess and evaluate their output throughout the process to make sure satisfaction with the process and relationships goes well over time. In general, there are aspects to measure concerning the effectiveness of teams related to the process itself, which are often forgotten. It’s a matter, at least from a research point of view, of resources, because to evaluate a full process over time, you need to run experiments for longer periods. Often people stop at one instant or a few interactions, but if you think of human teams, like the usual forming, storming, norming, and performing, that often goes over a long time. Teams often operate for a long time and improve over time. So, the process itself needs to be monitored and reassessed over time. This is a way to also measure the effectiveness of the team, but over time. Ross: Interesting point, because as you say, the dynamics of team performance with a human team improve as people get to know each other and find ways of working. They can become cohesive as a team. That’s classically what happens in defense forces and in creating high-performance teams, where you understand and build trust in each other. Trust is a key component of that. With AI agents, if they are well designed, they can learn themselves or respond to changing situations in order to evolve. But it becomes a different dynamic when you have humans building trust and mutual understanding, where that becomes a system in which the AI is potentially responding or evolving. At its best, there’s the potential for that to create a better performing team, but it does require both the attitudes of the humans and well the agents. Davide: Related to this—if I can interrupt you—I think this is very important that you mentioned trust. Indeed, this is one of the aspects that needs to be considered very carefully. You shouldn’t over-trust another team member, but also shouldn’t under-trust. Appropriate trust is key. One of the things that drives, at least in human teams, trust and overall performance is also team ethics. Related to the metrics you mentioned earlier, the ability of a team to gather around a shared ethical code and stick to that, and to continuously and regularly update each other’s norms and ensure that actions are aligned with the shared norms, is crucial. This ethical code significantly affects trust in operation. You can see it very easily in human teams: considering ethical aspects is essential, and we take them into account all the time. We respect each other’s goals and values. We expect our collaborators to keep their promises and commitments, and if they cannot, they can explain or justify what they are doing. These justifications are also a key element. The ability to provide justifications for behavior is very important for hybrid teams as well. Not only the AI, but also the human should be able to justify their actions when necessary. This is where the concept of hybrid teams and, in general, hybrid intelligence requires a bit of a philosophical shift from the traditional technology-centric perspective. For example, in AI, we often talk about explainability or explainable AI, which is about looking at model computations and understanding why a decision was made. But here, we’re talking about a different concept: justifiability, which looks at the same problem from a different angle. It considers team actions in the context of shared values, shared goals, and the norms we’ve agreed upon. This requires a shift in the way we implement AI agents—they need to be aware of these norms, able to learn and adapt to team norms, and reason about them in the same way we do in society. Ross: Let’s say you’ve got an organization and they have teams, as most organizations do, and now we’re moving from classic human teams to humans plus AI teams—collaborative human-AI teams. What are the skills and capabilities that the individual participants and the leaders in the teams need to transition from human-only teams to teams that include both humans and AI members? Davide: This is a complicated question, and I don’t have a full answer, but I can definitely reflect on different skills that a hybrid team should have. I’m thinking now of recent work—not published yet—where we started moving from the quality model work I mentioned earlier towards more detailed guidelines for human-AI teams. There, we developed a number of guidelines for organizations for putting in place and operating effective teams. We categorized these guidelines in terms of different phases of team processes. For instance, we developed guidelines related to structuring the teamwork—the envisioning of the operations of the team, which roles the team members would have, which responsibilities the different team members should have. Here, I’m talking about team members, but I’m still referring to hybrid teams, so this applies to both humans and AI. This also implies different types of skills that we often don’t have yet in AI systems. For example, flexible team composition is a type of skill required to make it possible at the early stage of the team to structure the team in the right way. There are also skills related to developing shared awareness and aspects related to breaking down the task collaboratively or ensuring a continuous evolution of the team over time, with regular reassessment of the output. If you think of these notions, it’s easy to think about them in terms of traditional organizations, but when you imagine a human-AI team or a small hybrid organization, then this continuous evolution, regular output assessment, and flexible team composition are not so natural anymore. What does it mean for an LLM agent to interact with someone else? Usually, LLM architectures rely on static roles and predefined workflows—you need to define beforehand the prompts they will exchange—whereas humans use much more flexible protocols. We can adjust our protocols over time, monitor what we’re doing, and reassess whether it works or not, and change the protocols. These are skills required for the assistants, but also for the organization itself to make hybrid teaming possible. One of the things that emerges in this recent work is a new figure that would probably come up in organizations: a team designer or a team facilitator. This is not a team member per se, but an expert in teams and AI teammates, who can perhaps configure the AI teammates based on the needs of the team, and provide human team members with information needed about the skills or capabilities of the specific AI team member. It’s an intermediary between humans and AI, with expertise that other human team members may not have, and could help these teams work together. Ross: That’s fantastic. It’s wonderful to learn about all this work. Is there anywhere people can go to find out more about your research? Davide: Yeah, sure. You can look me up at my website, davidedellanna.com. That’s my main website—I try to keep it up to date. Through there, you can see the different projects I’m involved in, the papers we’re working on, both with collaborators and with PhD and master students, who often bring great contributions to our research, even in their short studies. That’s the main hub, and you can also find many openly available resources linked to the projects that people may find useful. Ross: Fantastic. Well, it’s wonderful work—very highly aligned with the idea of hybrid intelligence, and it’s fantastic that you are focusing on that, because there’s not enough people yet focusing in the area. So you and your colleagues are ahead, and I’m sure many more will join you. Thank you so much for your time and your insights. Davide: Thank you so much, Ross. Pleasure to meet you. The post Davide Dell'Anna on hybrid intelligence, guidelines for human-AI teams, calibrating trust, and team ethics (AC Ep33) appeared first on Humans + AI.

The crew is back with another hilarious round of Posted & Toasted, where old social media takes resurface to haunt the station's biggest personalities. From a controversial 2024 pitch to install snow machines in every NFL dome to a 14-year-old "shady" tweet about Chinese food, no one is safe from the archives including a scientific (and heated) debate over whether "big guys" actually feel the cold more than you think. The fun takes a professional turn as the guys break down the NFL Combine, specifically tackling the mystery of Carson Beck. Is the Miami standout a victim of bad timing, or does a lack of "clutch" moments make him a dangerous first-round gamble? Whether you're here for the draft analysis or the debate over the legality of snow blowing, this segment covers the full spectrum of sports and life.

070 - GOAT, Dir. Tyree Dilly / Adam Rosette Sony Pictures Animation Studio has some really wonderful movies under it's belt, namely  2018's Spider-Man: Into the Spider-Verse and 2023's Spider-Man: Across the Spider-Verse as well as 2021's The Mitchells vs the Machines.  All three are pretty excellent movies with emphasis on 2018's Spider-Man: Into the Spider-Verse bringing Sony Pictures Animations back into the scope of being a major player in the animation space once again.   GOAT shares the distinct style and unique visual presentation of the previously mentioned as well as some interesting character designs with some of the strong writing and story beats.  GOAT is certainly odd in its approach but looks amazing and comes together as a movie, though not as the overall quality package as some others.  Kids will love it though! 0:00:00 - Introductions and Banter 0:09:40 - Box Office  0:12:30 - Trailer - The Bride, Dir, Maggie Gyllenhaal 0:20:15 - Movie Recommendation- Spider-Man: Into the Spider-Verse (2018) 0:27:15 - Sony Pictures Animations Filmography  0:49:35 - GOAT, Dir. Tyree Dilly / Adam Rosette 1:24:50 - GOAT: Final Thoughts  Hosted, produced and mixed by Grayson Maxwell and Roger Stillion.  Also Hosted by Christopher Boughan.   Visit the new Youtube channel, "Post Credits Podcast" to watch the video version.   Thank you for listening! Check us out on many podcast services: Apple Podcasts, Amazon Music, Google Podcasts, Spotify, Podbean. Check is out on YouTube for the full video each week: https://www.youtube.com/@Postcreditspodcast1

"Playing Cards" was released back in 1995. These cards shows world events that has come into fulfillment. Events like 9/11, President Trump as a leader and so much more. How could they have known about all these world events? Could it be possible that they somehow knew the future?

"Playing Cards" was released back in 1995. These cards shows world events that has come into fulfillment. Events like 9/11, President Trump as a leader and so much more. How could they have known about all these world events? Could it be possible that they somehow knew the future?

In this segment, Mark is joined by Missouri Attorney General Catherine Hanaway. Hanaway warns businesses to start removing illegal gambling machines and more.

In this episode Andrea Samadi interviews Thoryn Stevens, CEO and founder of Brain.One, about using AI, wearables, biomarkers and evidence-based micro-habits to create personalized brain-health protocols. Watch our full interview on YouTube here https://www.youtube.com/watch?v=r9UN9kev2CE or listen and follow the show notes here https://andreasamadi.podbean.com/e/can-ai-personalize-your-brain-health-inside-brainones-protocols/  What We Covered on EP 386 with Thoryn Stephens The Problem with Generic Wellness Advice Why most health advice fails to translate into sustained behavior change The gap between research findings and real-world application Why optimization must be systematic, not inspirational From Data to Daily Micro-Habits How Brain.One analyzes peer-reviewed research using AI Turning biometrics (HRV, sleep data, metabolic markers) into actionable protocols Why small, consistent micro-habits compound into long-term neuroplastic change Wearables & What Actually Matters The most misunderstood wearable metrics HRV, sleep architecture, and recovery as early indicators of cognitive health How to avoid becoming obsessive with numbers while still using data intelligently Dementia Prevention & Cognitive Longevity Evidence-based strategies inspired by the Lancet dementia prevention framework Why metabolic health and inflammation play a critical role in brain aging Prevention vs. reversal: when to start optimizing brain health Biological Bottlenecks to Human Potential Stress dysregulation as a performance limiter Sleep architecture and glymphatic clearance Metabolic flexibility and mitochondrial function Why emotional regulation remains foundational to cognitive performance AI in Health: Hype vs. Evidence What makes Brain.One's system evidence-constrained How AI can scale personalized health protocols The future of data-driven behavioral optimization

Good Sunday to you,Geoffrey Chaucer wrote The Canterbury Tales in around 1400, and it is considered one of the first great works of English literature.Try reading it today and you might question the “English” part. Here're the opening lines:Whan that Aprille with his shoures soote,The droghte of March hath perced to the roote,It does not get much easier.Canterbury Tales is the story of group of pilgrims who walk from Southwark to Canterbury Cathedral. I have done the pilgrimage myself and I would urge you to as well. The structure is quite simple. To pass the time, the pilgrims have to a storytelling contest and so each tells his or her tale. There are around thirty pilgrims - in effect, thirty professions, and so we get the Knight's Tale, the Miller's Tale, the Wife of Bath's Tale and so on.Here is the interesting part. Since the story was written in 1400 we have had, off the top of my head, the printing press, the Agricultural Revolution, the Industrial Revolution, steam power, fossil fuels, the internal combustion engine, electricity, aviation, nuclear power, computers, the internet, smartphones and now artificial intelligence.And yet, if you look the list of characters below, every single one of Chaucer's professions still exists in some recognisable form today.You could go all the way back to the dawn of civilisation and argue the same thing. We still have farmers. We still have merchants. We still have lawyers, doctors, religious people, soldiers, landlords, craftsmen, entertainers, administrators and hustlers.AI will change the nature of the job, but it will not erase the underlying human needs that created it.Machines put many farm labourers out of work at the turn of the 19th century, but they also generated enormous productivity, which created new industries and new jobs, and, it's worth noting, productivity which enabled us to be able to ban slavery. The net result was not mass permanent unemployment but rising prosperity.What Actually ChangesWhat does get destroyed is power structure.Feudalism has gone. The Church no longer dominates European politics - not the Christian Church, anyway. Guilds have faded. The landed aristocracy has all but gone. In their place we have the modern State, bureaucracy, multinational banks, global corporations, Big Tech, Big Pharma, the mainstream media and so on.AI is more likely to erode existing hierarchies than to eliminate work altogether. It will compress middle layers. It will reduce friction. It will concentrate power in some places and decentralise it in others.If you live in a third world country such as the UK, I urge you to own gold or silver. The pound will be further devalued, as will the euro and dollar. The bullion dealer I recommend is The Pure Gold Company. More here.The winners are likely to include: platforms, energy producers, owners of scare assets, large scale infrastructure, those who control distribution. AI is already being used in manufacturing, agriculture and mining, but so much to replace jobs as to increase productivity. You can't help feeling the physical economy is a better place to be than parts of the digital - at least for now, though I guess robots are next if those Chinese videos doing the rounds are anything to go by.Who else wins? AI and machine learning engineers, obviously, certain content creators, those who get good at prompting will find it useful for anything from medicine to plumbing to consultancy.The losers will be among those whose job is mainly to control access to or verify information that AI can now do instantly. Think: interpreters and translators, proofreaders and editors, coders, copywriters and journalists, graphic designers, sales reps, basic financial advisors. I think long-distance drivers' days are numbered too.The work doesn't disappear but the pricing power and margins collapse.Legacy media distribution - not the content creators themselves, but the distribution gatekeepers who controlled which creators reached audiences. Publishers who mainly performed filtering rather than editing, talent agencies for routine work, certain music labels.The job may technically exist but the power and economics drain away.Chaucer's Cast, ModernisedFinally, below is Chaucer's professional cross-section of medieval England. I have added approximate modern equivalents.* Narrator – content creator (!)* Host – Event organiser, podcast presenter* Knight – Army officer* Squire – Cadet, trainee officer* Knight's Yeoman – Bodyguard, fixer, executive assistant* Prioress – Headmistress, senior religious leader* Second Nun – Clergy* Nun's Priest – Chaplain* Monk – Monk* Friar – Fundraiser, community organiser* Merchant – Import–export, trader, entrepreneur* Clerk – Researcher* Man of Law – Barrister, judge* Franklin – Wealthy landowner, landlord, businessman* Haberdasher – Fashion retailer, Etsy seller* Carpenter – Builder* Weaver – Textile manufacturer* Dyer – Industrial processor* Tapestry-maker – Textile artisan* Cook – Chef* Shipman – Merchant mariner, sailor* Physician – Doctor* Wife of Bath – Self-made businesswoman* Parson – Parish priest* Plowman – Smallholder farmer* Miller – Construction materials supplier* Manciple – Buyer, procurement officer* Reeve – Estate manager, COO* Summoner – Bailiff, compliance officer* Pardoner – Carbon credit broker* Canon – Serial start-up founder, “entrepreneur'* Canon's Yeoman – Startup engineerThe Real QuestionI think a fear frenzy is being whipped up - and I say this as someone who has lost his primary source of income (voiceovers) to AI.The work changes. The tools change. The leverage changes. The power centres change. The underlying human needs do not.There will still be farmers because people eat. There will still be merchants because people trade. There will still be storytellers because people crave stories. Most importantly of all, there will still be opportunities, if anything there will be more of them.AI will reduce headcount in some sectors. It will elevate productivity so dramatically that fewer people are required to produce more output. That is economic evolution.If you are worried about AI taking your job, ask yourself this: are you positioned inside an old power structure that is about to weaken? Or are you aligned with the next one forming?Join the gang.Until next time,DominicICYMI here is this week's commentaryFinally, Charlie Morris and I appeared on In The Company of Mavericks this week to discuss what's been going on with gold, silver and bitcoin. (Charlie writes Atlas Pulse which I heartily recommend. Get your copy here - it's free.)Links to Spotify and Apple podcasts are here: This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.theflyingfrisby.com/subscribe

Across every branch of the military, crews depend on their machines for survival — aircraft, ships, and vehicles that become lifelines in combat. But sometimes, certain machines develop reputations that go far beyond normal mechanical trouble. From a Marine Corps helicopter with a deadly past… to a British jump jet plagued by accidents… to a World War I submarine surrounded by tragedy and ghostly sightings, servicemen have long shared stories of war machines that seemed marked by something darker than bad luck. Learn more about your ad choices. Visit megaphone.fm/adchoices

Will Gab and Dylan see Heart Eyes to eyes on this one or will Dylan be heartbroken?Welcome to the Movies to Watch Before You Die Podcast with Gab and Dylan!Movies To Watch Before You Die merch here - https://moviestowatchbeforeyoudie-shop.fourthwall.com/Look up the movie here - https://www.imdb.com/title/tt0067992/Find us everywhere here - https://linktr.ee/moviestowatchbeforeyoudie00:00 Welcome00:36 What's it about?03:53 Opinion Time35:17 Let's get to the facts40:02 Mail Time49:26 VerdictsWe're a member of the Hall of Pods, find links for our podcasting friends here - https://linktr.ee/hallofpodsWho are we: A former actress and video editor but more than anything we're movie fans like you.Why listen? Why not! We're gonna talk about movies you love, movies you hate, and movies you've never heard of. We can't wait to hear what you think of them too. If you want to tell us your opinion on whether or not a movie is one we should watch before we die, tell us we're wrong, or tell us you like the show send us an email or voice message at moviestowatchbeforeyoudie@gmail.com . We can't wait to hear from you and we can't wait to talk movies!Thanks to Scott Interrante for the music in our intro!Thanks to Brian Maneely for our artwork!Movies Dylan and Gab agree you should watch before you die: Vampire's Kiss, Die Hard, Tropic Thunder, Wag the Dog, The Legend of Billie Jean, You've Got Mail, True Lies, The Room, Game Night, The Truman Show, The Great Gatsby, Whiplash, The Lost Boys, The Fugitive, Spider-Man: Into the Spider-Verse, My Cousin Vinny, Shutter Island, Starship Troopers, Big, Joy Ride, The Jerk, Alien/Aliens, Best in Show, Freaky Friday, Over the Garden Wall, North, Catch Me If You Can, Clue, Jerry Maguire, Groundhog Day, The Great Mouse Detective, Chicago, Wall-E, Teenage Mutant Ninja Turtles, Breakdown, Cool Runnings, Ruthless People, Mean Girls, Borat, A League of Their Own, City Slickers, Jingle All the Way, Saw, The Lion King, Little Big League, The Naked Gun, Young Frankenstein, Tootsie, The Changeling, The Birdcage, Superman, The Mitchells vs. the Machines, The Nightmare Before Christmas, Twins, Training Day, When Harry Met Sally, Jurassic Park, and Willy Wonka & the Chocolate Factory

In README: A Bookish History of Computing from Electronic Brains to Everything Machines (MIT Press, 2025), historian Dr. Patrick McCray argues that in order for computers to become ubiquitous, people first had to become interested in them, learn about them, and take the machines seriously. A powerful catalyst for this transformation was, ironically, one of the oldest information technologies we have: books. The author uses a carefully chosen selection of books, some iconic and others obscure, to describe this technological revolution as it unfolded in the half-century after 1945. The book begins with a fundamental question: How does a new technology become well known and widespread? Dr. McCray answers this by using books as a window into significant moments in the history of computing, publishing, and American culture.README offers a literary history of computers and, more broadly, information technologies between World War II and the dot-com crash of the early 21st century. From the electronic brains and cybernetics craze of the 1940s to the birth of AI, the rise of the personal computer, and the internet-driven financial frenzy of the 1990s, books have proven a durable and essential way for people to learn how to use and think about computers. By offering a readable half-century of bookish history, README explains how computers became popular and pervasive. This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda's interviews on New Books with Miranda Melcher, wherever you get your podcasts. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

The era of prompt-response is over; the era of AI autonomy has arrived. From the high-stakes world of personalized longevity protocols to the radical shift in how we build and own software, this episode breaks down why "systems thinking" is the only skill that matters in 2026.Join the Community

In README: A Bookish History of Computing from Electronic Brains to Everything Machines (MIT Press, 2025), historian Dr. Patrick McCray argues that in order for computers to become ubiquitous, people first had to become interested in them, learn about them, and take the machines seriously. A powerful catalyst for this transformation was, ironically, one of the oldest information technologies we have: books. The author uses a carefully chosen selection of books, some iconic and others obscure, to describe this technological revolution as it unfolded in the half-century after 1945. The book begins with a fundamental question: How does a new technology become well known and widespread? Dr. McCray answers this by using books as a window into significant moments in the history of computing, publishing, and American culture.README offers a literary history of computers and, more broadly, information technologies between World War II and the dot-com crash of the early 21st century. From the electronic brains and cybernetics craze of the 1940s to the birth of AI, the rise of the personal computer, and the internet-driven financial frenzy of the 1990s, books have proven a durable and essential way for people to learn how to use and think about computers. By offering a readable half-century of bookish history, README explains how computers became popular and pervasive. This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda's interviews on New Books with Miranda Melcher, wherever you get your podcasts. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/intellectual-history

In README: A Bookish History of Computing from Electronic Brains to Everything Machines (MIT Press, 2025), historian Dr. Patrick McCray argues that in order for computers to become ubiquitous, people first had to become interested in them, learn about them, and take the machines seriously. A powerful catalyst for this transformation was, ironically, one of the oldest information technologies we have: books. The author uses a carefully chosen selection of books, some iconic and others obscure, to describe this technological revolution as it unfolded in the half-century after 1945. The book begins with a fundamental question: How does a new technology become well known and widespread? Dr. McCray answers this by using books as a window into significant moments in the history of computing, publishing, and American culture.README offers a literary history of computers and, more broadly, information technologies between World War II and the dot-com crash of the early 21st century. From the electronic brains and cybernetics craze of the 1940s to the birth of AI, the rise of the personal computer, and the internet-driven financial frenzy of the 1990s, books have proven a durable and essential way for people to learn how to use and think about computers. By offering a readable half-century of bookish history, README explains how computers became popular and pervasive. This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda's interviews on New Books with Miranda Melcher, wherever you get your podcasts. Learn more about your ad choices. Visit megaphone.fm/adchoices

In README: A Bookish History of Computing from Electronic Brains to Everything Machines (MIT Press, 2025), historian Dr. Patrick McCray argues that in order for computers to become ubiquitous, people first had to become interested in them, learn about them, and take the machines seriously. A powerful catalyst for this transformation was, ironically, one of the oldest information technologies we have: books. The author uses a carefully chosen selection of books, some iconic and others obscure, to describe this technological revolution as it unfolded in the half-century after 1945. The book begins with a fundamental question: How does a new technology become well known and widespread? Dr. McCray answers this by using books as a window into significant moments in the history of computing, publishing, and American culture.README offers a literary history of computers and, more broadly, information technologies between World War II and the dot-com crash of the early 21st century. From the electronic brains and cybernetics craze of the 1940s to the birth of AI, the rise of the personal computer, and the internet-driven financial frenzy of the 1990s, books have proven a durable and essential way for people to learn how to use and think about computers. By offering a readable half-century of bookish history, README explains how computers became popular and pervasive. This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda's interviews on New Books with Miranda Melcher, wherever you get your podcasts. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/science-technology-and-society

Missouri Lt. Governor David Wasinger joined NewsTalk KZRG to discuss video lottery machines, bringing more transparancy to the state senate, and an essay contest. Join Ted, Steve, and Lucas for the KZRG Morning Newswatch!

In README: A Bookish History of Computing from Electronic Brains to Everything Machines (MIT Press, 2025), historian Dr. Patrick McCray argues that in order for computers to become ubiquitous, people first had to become interested in them, learn about them, and take the machines seriously. A powerful catalyst for this transformation was, ironically, one of the oldest information technologies we have: books. The author uses a carefully chosen selection of books, some iconic and others obscure, to describe this technological revolution as it unfolded in the half-century after 1945. The book begins with a fundamental question: How does a new technology become well known and widespread? Dr. McCray answers this by using books as a window into significant moments in the history of computing, publishing, and American culture.README offers a literary history of computers and, more broadly, information technologies between World War II and the dot-com crash of the early 21st century. From the electronic brains and cybernetics craze of the 1940s to the birth of AI, the rise of the personal computer, and the internet-driven financial frenzy of the 1990s, books have proven a durable and essential way for people to learn how to use and think about computers. By offering a readable half-century of bookish history, README explains how computers became popular and pervasive. This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda's interviews on New Books with Miranda Melcher, wherever you get your podcasts. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/technology

In README: A Bookish History of Computing from Electronic Brains to Everything Machines (MIT Press, 2025), historian Dr. Patrick McCray argues that in order for computers to become ubiquitous, people first had to become interested in them, learn about them, and take the machines seriously. A powerful catalyst for this transformation was, ironically, one of the oldest information technologies we have: books. The author uses a carefully chosen selection of books, some iconic and others obscure, to describe this technological revolution as it unfolded in the half-century after 1945. The book begins with a fundamental question: How does a new technology become well known and widespread? Dr. McCray answers this by using books as a window into significant moments in the history of computing, publishing, and American culture.README offers a literary history of computers and, more broadly, information technologies between World War II and the dot-com crash of the early 21st century. From the electronic brains and cybernetics craze of the 1940s to the birth of AI, the rise of the personal computer, and the internet-driven financial frenzy of the 1990s, books have proven a durable and essential way for people to learn how to use and think about computers. By offering a readable half-century of bookish history, README explains how computers became popular and pervasive. This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda's interviews on New Books with Miranda Melcher, wherever you get your podcasts. Learn more about your ad choices. Visit megaphone.fm/adchoices

CEO Glow Show Hosted by Sheila Bella, Founder of Pretty Rich Bosses What would happen if you put your beauty business in the hot seat… and had it audited live? In this episode of the CEO Glow Show, Sheila Bella breaks down a lash artist's business in real time and shows exactly how to go from "kind of booked" to fully booked — and eventually building a team. In under 20 minutes, Sheila identifies the real bottleneck holding this business back and explains the three marketing machines every beauty entrepreneur needs: ✔ Visibility ✔ Booking ✔ Service Delivery If you're relying mostly on word-of-mouth… If you're 60–70% booked but not consistently full… If you want to double your income but don't know where to start… This episode is your blueprint. Sheila covers Instagram SEO updates, organic vs. paid reach, email marketing strategy, branding, Google visibility, and why most beauty pros choose renting over building simply because they don't know how to create an automated marketing machine. This is tactical. Strategic. And immediately actionable.

In Episode 139 of Culture of Change, Ashe in America and Abbey Blue Eyes continue their deep dive into artificial intelligence, shifting from last week's discussion into even more unsettling territory. The episode opens with clips from AI researchers debating superintelligence, safety mechanisms, and the possibility that advanced models could lie, blackmail, or even act destructively to avoid being shut down. The hosts unpack the ethical concerns, the push for global governance, and the tension between innovation, profit, and public consent. From there, the conversation moves into real-world applications, including liquid robots that can deform, merge, and move via magnetic fields or sound waves, as well as the broader implications of pairing advanced AI with physical systems. The discussion expands into emerging energy breakthroughs, including self-healing Roman-style concrete and new conductive concrete capable of storing electricity, raising questions about ancient technology, disclosure, and the future of decentralized power. Balancing skepticism with curiosity, Ashe and Abbey explore whether these developments signal dystopia, a golden age, or something in between.

"Come with me if you want to podcast!"Podcasters Assemble - Season 13 will be analyzing all six movies in the Terminator franchise.Submissions for "The Terminator" (1984) are due on Monday, March 16th, 2026!The Terminator (1984)T2 - Judgement Day (1991)Terminator 3: Rise of the Machines (2003)Terminator: Salvation (2009)Terminator: Genisys (2015)Terminator: Dark Fate (2019)Click here for the submission form, or check out ProbablyWork.com for more!Please keep in mind that there is a 10-minute entry limit - with exceptions given to Zack (our narrator), Erik (our editor), AND any of our Patreon members. (Note: There is a one-week grace period after each due date.)Promo Featuring:Erik as Kyle ReeseElyse as Sarah ConnorZack as the T-800(Written and Edited by Erik Slader)Click here to listen to more of Zack attempting to do the Arnold voice on our Patreon.The Podcasters will Assemble again... If you would like to be featured on an upcoming episode head over to: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://probablywork.com/podcasters-assemble/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠You can also join the discussion in our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord server⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Support us on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ or ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Buy Our Merch!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Network InfoThis podcast is a production of the We Can Make This Work (Probably) Network. Follow us below to keep up with this show and discover our many other podcasts! The place for those with questionable taste!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠| ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠| ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: @probablywork⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ www.probablywork.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ProbablyWorkPod@gmail.com⁠⁠

Guy whose only played Sayonara Wild Hearts: "I'm getting a lot of Sayonara Wild Hearts energy in this game."Today we're talking about Toroa: Skycall by Atawhai Interactive! A game about gliding and just hangin' out.Get Toroa: Skycall on Steam!!! Follow Atawhai Interactive's work on their website!Discussed in the episode:The sourdough shaping video that AJ talked about by Matthew James Duffy on YouTube Shorts(tm)TWG Steam Curator PageMaking Kin with the Machines, Archer et al. from the Journal of Design and Science by MIT PressRoyal Albatross Centre ---Support us on Ko-fi!Visit our website!Follow us on YouTube!Follow the show on Bluesky!Check out The Worst Garbage Online!---Art by Tara CrawfordTheme music by _amaranthineAdditional sounds by BoqehProduced and edited by AJ Fillari---Timecodes:(00:00) - The end of a 20 minute conversation (02:31) - We're not fighting!!! (03:43) - fort.nite ???? (05:52) - Oh right the podcast (06:12) - What is Toroa: Skycall (07:36) - This game feels AMAZING (10:21) - The MUSIC (11:38) - The game is steeped in culture (13:46) - Talking to other animals (17:02) - Songs of the sea have been dulled by the drums of progress (21:48) - The game wants you to just hang out (23:05) - Bird heaven???? (28:49) - Everything is connected (33:57) - You get where you're going (35:57) - Made with love (36:31) - Everything is connected!!! (37:15) - Big Takeaways (37:17) - Kim's Big Takeaway (42:31) - AJ's Big Takeaway (47:09) - Help the Northern Royal Albatross!!! (47:38) - Thank you for listening! ★ Support this podcast ★

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In this episode of Book Overflow, Carter and Nathan discuss Ken Thompson's essay Reflections on Trusting Trust and the short story Coding Machines by Lawrence Kesteloot!Big thanks to user 0b00101010 from the Book Overflow Discord for the recommendation! Join it here: https://discord.gg/ZwS2fqW7ZZ -- Want to talk with Carter or Nathan? Book a coaching session! ------------------------------------------------------------Carterhttps://www.joinleland.com/coach/carter-m-1Nathanhttps://www.joinleland.com/coach/nathan-t-2-- Books Mentioned in this Episode --Note: As an Amazon Associate, we earn from qualifying purchases.----------------------------------------------------------Reflections on Trusting Trust by Ken Thompsonhttps://www.cs.cmu.edu/~rdriley/487/papers/Thompson_1984_ReflectionsonTrustingTrust.pdfCoding Machines by Lawrence Kesteloothttps://www.teamten.com/lawrence/writings/coding-machines/---------------- 00:00 Intro 02:55 About the Authors and Essays 06:14 Initial Thoughts 11:03 The Trusting Trust Attack 22:39 Coding Machines 32:05 AI Trust and Dark Patterns 44:01 AI-Generated Code and the Future 54:52 Stuxnet and Unintended Consequences 1:02:43 Final ThoughtsSpotify: https://open.spotify.com/show/5kj6DLCEWR5nHShlSYJI5LApple Podcasts: https://podcasts.apple.com/us/podcast/book-overflow/id1745257325X: https://x.com/bookoverflowpodCarter on X: https://x.com/cartermorganNathan's Functionally Imperative: www.functionallyimperative.com----------------Book Overflow is a podcast for software engineers, by software engineers dedicated to improving our craft by reading the best technical books in the world. Join Carter Morgan and Nathan Toups as they read and discuss a new technical book each week!The full book schedule and links to every major podcast player can be found at https://www.bookoverflow.io

Send a textWhen the Loeb Classical Library was launched, the greatest language teacher of the age, W.H.D. Rouse, wrote an essay meant to promote the Loebs by extolling the magnificence of Greek literature and Latin literature. And boy did he. "Your mind cannot live without them. All the great intellectual impulses begin in Greece; the modern world only grows crops from the Greek seed." While Rouse admitted that his space was short, and so he had to "be dogmatic," this essay, "Machines or Mind?" is a worthy read, not least because of its response to the utilitarians who'd prefer we abandon the humanities and instead bend all of our time, effort, and resources to making more machines. One of Rouse's 21st century heirs, Senior Fellow of Classical Languages at New Saint Andrews College and founder of Picta Dicta, Timothy Griffith, joins the podcast to discuss the essay, Rouse's place in the tradition of humanist education, and whether the Aeneid can properly be called an epic.W.H.D. Rouse's Machines or Mind?: https://antigonejournal.com/2024/11/machines-or-mind-loebs-rouse/Picta Dicta: https://pictadicta.com/W.H.D. Rouse's Latin on the Direct Method: https://scholalatina.it/wp-content/uploads/2020/09/Rouse-Appleton-Latin-on-the-direct-method.pdfC.S. Lewis's Preface to Paradise Lost: https://bookshop.org/a/25626/9780195003451New Humanists is brought to you by the Ancient Language Institute: https://ancientlanguage.com/Links may have referral codes, which earn us a commission at no additional cost to you. We encourage you, when possible, to use Bookshop.org for your book purchases, an online bookstore which supports local bookstores.Music: Save Us Now by Shane Ivers - https://www.silvermansound.comSupport the show

Have you ever used a sound machine to help you sleep better? What about to help your child sleep better?  The BrainStim gang is discussing a new article that sheds some light on the use of sound machines and their impact on your brain waves that allow you to get into deep sleep. Take a listen and as always, you can find more information at www.invisionchiropractic.com. 

Is AI conscious? Will it be someday? And should we be nice to it now... just in case?This FAFO Friday, Kwaku and I dive into the mind-bending world of machine consciousness.We cover a lot of ground, weaving from the different ways that Luke (co-dependent with R2) and Han (barking commands at C-3PO) treat their droids to whether Pascal's Wager informs whether we should believe in AI consciousness just in case they do come alive and have been keeping score. (Pascal figured it was the safe bet to believe in God, just in case; maybe we should do likewise?) That's from us knuckleheads, but we've also got a true expert on consciousness. This week I interviewed Daniel Hulme, one of the world's leading AI researchers. He's the Chief AI Officer at WPP, the CEO of Satalia (which WPP bought) and just founded and is CEO of Conscium, which is researching AI consciousness, efficiency (he thinks we're scaling wrong and LLM's are not the way), and building a platform to verify AI agents are safe. You'll hear the first five minutes of my interview with Daniel. Daniel was not surprised by Moltbook (the Reddit-style site that AI agents built for themselves). That's because he's been putting agents together (in a “primordial soup” as he put it) for decades to observe the wild and wonderful ways they behave and to see if they'd create intelligence.Daniel does not think today's agents are conscious, but can see a path to it. And he believes that a conscious superintellignece would be safer than a “zombie” one. But mostly he doesn't want machines to feel pain and suffer. Huh???My brain is still kind of broken from our hourlong chat, which I'm producing now and will be released in a few weeks. For now, enjoy this preview and more from Kwaku and me as we talk about what we expect from machines, whether we want to be one with them, and more…

Today's guest is Zac Cupples, PT, DPT, OCS, CSCS, a physical therapist and strength coach known for bridging rehabilitation and performance. He's the founder of ZacCupples.com and is respected for translating complex concepts around respiration and movement mechanics into practical tools coaches and clinicians can immediately apply to improve efficiency, reduce pain, and enhance performance. The bridge between sports performance rehab is an important one. In the midst of movement mechanics that drive good rehab, and high intensity lifting, lies the knowledge that can help athletes make continual gains while staying robust and healthy for their sport. On today's show, Zac explores how an athlete's structure influences movement, strength training, and even injury risk. He shares his track background and how it shaped his coaching, then unpacks concepts like narrow vs. wide “ISA” builds, why some athletes struggle to feel their hamstrings in traditional lifts, and how tools like front loading, box squats, machines, and sprinting can solve it. He also digs into long-duration isometrics, mobility vs. flexibility, and finishes with a fun lightning round. Today's episode is brought to you by Hammer Strength. Use the code “justfly20” for 20% off any Lila Exogen wearable resistance training, including the popular Exogen Calf Sleeves. For this offer, head to Lilateam.com Use code “justfly10” for 10% off the Vert Trainer View more podcast episodes at the podcast homepage. (https://www.just-fly-sports.com/podcast-home/) Timestamps 1:23 – Early Athletic Experiences 5:36 – Muscle Activation Challenges 11:22 – Structural Constraints and Movement 25:17 – Rethinking Traditional Strength Training 29:17 – The Role of Machines in Training 36:54 – Weight Shifts and Mechanics 40:45 – Long Hold Activities in Rehab 53:21 – Internal vs. External Rotation 59:27 – Flexibility vs. Mobility 1:07:06 – Lightning Round Questions 1:14:04 – Future Plans and Coaching Focus Zac Cupples Quotes "You got to preserve moving fast because that's how you catch yourself from falling." "It assumes everyone has the same body but no two people are going to perform both of those movements the same way, and it's not going to load the same way." "I start the majority of people with a box squat, because the way I think about a hinge is it's different from a squat because the hips are going to be moving more along that horizontal path." "It's way more useful to think, am I moving up and down? Am I moving side to side? And then just pick exercises within what a person has available." "If someone can't produce certain rotations, and I know that you need those rotations to do this movement, you probably got to find something else to train that pattern within their constraints." "You just have to find the hinge variation that they can execute. And if they don't have much to do that, you have to create constraints." About Zac Cupples Zac Cupples, PT, DPT, OCS, CSCS is a physical therapist, strength coach, and educator specializing in human movement, respiration, and performance optimization. He is the founder of ZacCupples.com and has become widely known for translating complex biomechanical and neurophysiological concepts into practical strategies that clinicians and coaches can immediately apply. Zac earned his Doctorate in Physical Therapy from Marquette University and is board certified as an Orthopedic Clinical Specialist. He has completed extensive post-graduate education through the Postural Restoration Institute (PRI) and integrates principles of respiration, pelvic mechanics, thoracic positioning, and neuromuscular control into both rehabilitation and performance training. Through his online courses, seminars, and educational content, Zac has influenced thousands of clinicians and coaches worldwide. His work bridges the gap between rehab and high performance, helping athletes move more efficiently, reduce pain, and unlock higher levels of strength and speed through better positional awareness and strategic breathing. Zac currently treats clients and consults internationally, while continuing to produce educational resources aimed at elevating the standard of movement practice in both clinical and performance settings.

AI is reshaping national power and governance. Drawing on India's digital public infrastructure, Jayant Sinha and Vasant Dhar discuss innovation and sovereignty over compute, data consent and privacy by design in Episode 103 of Brave New World. Useful Resources: 1. Jayant Sinha2. Eversource Capital3. India's Green Startups: Jayant Sinha and Sandeep Bhammer4. Nandan Nilekani5. Brave New World Episode 15: Nandan Nilekani on an Egalitarian Internet6. Brave New World Episode 50: Pramod Varma on India's Digital Empowerment 7. iSpirit8. Unique Identification Authority Of India9. Unified Payments Interface10. M-Pesa11. DigiYatra. 12. Australia has banned social media for kids under 16. 13. Data Empowerment and Protection Architecture, DEPA14. Paul Gruenwald, Global Chief Economist, S&P Global15. Daron Acemoglu, Simon Johnson, James A. Robinson. 16. Neeraj Chopra17. Thinking with Machines, The Brave New World of AI: Vasant Dhar18. Battery Smart19. Nutrifresh20. Zero Cow21. RevFin22. Upside Foods23. Brave New World Episode 93: Uma Valeti on Cultivating Meat24. Brave New World Episode 101: Deepak Chopra On Consciousness and Reality25. Geoffrey Hinton26. Asimov's Laws27. Jonathan Haidt28. The Anxious Generation: Jonathan Haidt Check out Vasant Dhar's newsletter on Substack. The subscription is free! Order Vasant Dhar's new book, Thinking With Machines

Can artificial intelligence really think, understand, or know anything at all? And if not, what does our relationship with AI reveal about who we are as human beings? In this tenth and final episode of The Mind and the Machine: Aquinas on AI, philosopher Dr. Michael Augros (Thomas Aquinas College) brings the series to a close by exploring the deeper human and philosophical implications of artificial intelligence. Building on the conclusions of the previous nine videos, this episode argues that AI does not truly think, understand, or perform any real cognitive act. From there, it asks five crucial follow-up questions that shape how we should live with and use AI: • How should we talk about what AI does? • Are human beings superior or inferior to AI? • Is AI a tool, assistant, teacher, or something else entirely? • What can comparing AI to ourselves teach us about human cognition? • Will AI ultimately promote or suppress human goods like wisdom, creativity, freedom, friendship, art, and science? Drawing on Aristotle and St. Thomas Aquinas, Dr. Augros explains why human beings are essentially and permanently different from AI systems, even the most advanced large language models. He clarifies why AI is best understood as an instrument and extension of human intelligence, not a new kind of living or thinking being. This episode also examines: • Why AI can outperform humans in speed, precision, and data processing without possessing intelligence • The dangers of anthropomorphizing AI as a “friend” or “teacher” • Why human creativity, wisdom, and genuine understanding cannot be automated • How AI may ultimately clarify what is truly human rather than replace it Whether you are interested in AI ethics, philosophy of mind, Aquinas, Aristotle, technology and humanity, or the future of artificial intelligence, this final lecture offers a rigorous and deeply human framework for understanding AI without hype or fear. This concludes the full lecture series: The Mind and the Machine: Aquinas on AI.

Do we sometimes read books because they have a hot-pink cover? We do. But we're glad we did! Kathy Acker is a crazy badass and her cult classic gets us started on a white-hot episode full of machine smashing and sea scraping. This is about as wide-ranging as an episode gets. This fortnight, we read: "Blood and Guts in High School," by Kathy Acker "The Infamous Gilberts," by Angela Tomaski "Against the Machine," by Paul Kingsnorth "Seascraper," by Benjamin Wood What sound effects did we give each of these books? You'll just have to listen and find out!

Maya Buffett Davis is a sculptor currently pursuing an MFA in Ceramics at Colorado University Boulder. For the next couple of days you can view her show “Books are Machines” at the Bemis Public Library in Littleton, CO until February 14, 2026. We chat about the ideas behind the show including the relationship between the viewer and an interactive sculpture and inspiring attention. Learn more about Maya's work on Instagram and her web site mayabuffettdavis.xyz

This week go deep with Alex Komoroske, CEO and co-founder of Common Tools, about his vision for a more saner, more intentional tech paradigm in which the historical contingencies that gave us the digital world we have today have been fundamentally reworked.The version of AI most of us have come to accept or reject looks like corporate-owned super-assistants with all your data. Instead, we could have a decentralized ecosystem where software self-assembles around you—private, personal, and prosocial. Alex speaks on this possible world with authority: he spent 13 years at Google as PM Director on Chrome's web platform, Search, and AR, and later led corporate strategy at Stripe before co-founding Common Tools with Bernhard Seefeld.Some of the waypoints in our conversation include: confidential compute, emergent ontologies, where we want friction, the tyranny of the marginal users, the rise of the generalist, the importance of context ownership, and software ephemerality.We can't take a reasonable principled stance on the promises and perils of AI without considering the vast unexplored possibility space that Alex opens in this conversation. I'm grateful that I get to share it with you and help light the way for promising alternatives to what many of us have come to accept as “the way things are.”Links to extensive additional reading and listening below!✨ If you enjoy this podcast, please consider liking, subscribing, and commenting wherever you listen: YouTube • Spotify • Apple Podcasts • Etc.✨ Become a member to support the show and score myriad perks, like our book club: our next call is on Wendell Berry's Standing by Words this Sunday, Feb 15th!✨ Become a founding member for access to my five-week science and philosophy course at Weirdosphere and the raw recordings of every unreleased episode! (Anyone can chat with my course transcripts in a dedicated Google Notebook here.)✨ Browse and buy all of the books we discuss on the show at Bookshop.org✨ Contact me with inquiries or hire me as a consultantReferenced & Related• The FLUX Collective (team project w/ several people mentioned in this episode)• Bits and Bobs (Alex's long-running archive of weekly notes)• Common Ground (Alex's dialogues w/ Aishwarya Khanduja of The Analogue Group)• The Iterative Adjacent Possible (Alex on Medium)• The Runaway Engine of Society (Alex on Medium)• Thinking like a gardener not a builder, organizing teams like slime mold, the adjacent possible, and other unconventional product advice (podcast w/ Lenny Rachitsky)• Media and Machines by Anu Atluru at Working Theorys• Accelerando & Glasshouse & Halting State (three books) by Charles Stross• The Transparent Society by David Brin• The evolution of Covert Signaling by Paul Smaldino• Landscape rules predict optimal superhighways for the first peopling of Sahul by Stefani Crabtree et al.• The Tyranny of the Marginal User by Ivan Vendrov• 1,000 True Fans by Kevin Kelly• Blindsight & Echopraxia (two books) by Peter Watts• The Computer as a Communication Device by J.C.R. Licklider & Bob Taylor• Silicon Valley's quest to remove friction from our lives by Rohit Krishnan• The Most Valuable Commodity in the World is Friction by Kyla Scanlon• Bernhard Seefeld• Situated Software by Clay Shirky• Das Rad (animated short)• Geoffrey West• Mark Pesce• Fred Turner• Robert David SteeleExplore hundreds of related podcast episodes in the archives! This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit michaelgarfield.substack.com/subscribe

00:00 - Intro 00:00:51 - Will has cerebral palsy: what it actually looks like day to day 00:02:57 - Growing up with CP, how Will started lifting, and what early training looked like 00:15:08 - Gym confidence, feeling judged, and pushing past the "new guy" phase 00:19:11 - Exercise selection: why barbell squats are tough (and what he does instead) 00:33:24 - Machines, imbalances, and unilateral work 00:38:20 - Should you compete? Dieting realities and expectations 00:40:50 - Bulking: eating enough, high protein, and making it work in real life 00:54:49 - Advice for lifters with disabilities

Creepy Crawlers & Handy Havoc: When Robot Hands Go Rogue.  Remembering Reality: Remarkable Specs Supporting Senile Sight.  Stitched by Software: When Algorithms Enter the Atelier.  Swallow, Signal, Succeed: MIT's Smart Pill Solves the Silent Slip-Up.  Bin There, Seen That: AI Eyes Take on Britain's Rubbish Rebels.  Paint, Perfume and Predictions: AI Accelerates the Assembly Line.  Mind Over Matter: Mapping Movement with Mental Muscle.  Coworker Code: Claude's Self-Building Bot Breaks the Boss Barrier.  Bizarre Beats and Bonkers Bows: Music's Maddest Machines of 2026. 

Go to www.LearningLeader.com for full show notes This is brought to you by Insight Global. If you need to hire one person, hire a team of people, or transform your business through Talent or Technical Services, Insight Global's team of 30,000 people around the world has the hustle and grit to deliver. My Guest: Dan Coyle is a New York Times bestselling author who's spent the last two decades studying what makes great teams great. He wrote The Talent Code, The Culture Code, and now Flourish—books that have shaped how millions of people think about skill development, team culture, and meaningful connection. He works with the Cleveland Guardians as a special advisor on culture and performance. We recorded this one together in Cleveland. Notes: Find your yellow doors. Most of us go through life looking for green doors (clearly open paths) and red doors (obviously closed paths). But yellow doors are different. They're out of the corner of your eye, things that make you uncomfortable or feel brand new. That's where life actually happens. We think life is a straight line from A to B to C, but it's not. Life isn't a game... It's complex, living, shifting. Yellow doors are opportunities to create meaningful connections and explore new paths. "Life deepens when we become aware of the yellow doors, the ones we glimpse out of the corner of our eye." The craft journey always involves getting simpler. Simple is not easy. The great ones have their craft to where there's a simplicity to it. In this world of clutter and noise, it's easy to want to compete with energy and speed, but the stuff that really resonates is quieter and simpler. Be a beginner again in something. With climbing, Dan's at the very bottom of the craft mountain. With writing, he's somewhere in the middle. It's fun to have a couple of zones in your life where you're a beginner. It's liberating, but it also develops empathy. Some stuff looks very simple, but isn't. Every good story has three elements. There's some desire (I want to get somewhere), there's some obstacle (this thing standing in my way), and there's some transformation on that journey. Teaching teaches you. Coaching Zoe's writing team helped Dan, and then Zoe ended up coaching Dan. It was never "let me transmit all my wisdom to my daughter." It was a rich two-way dialogue that helped both of them. Suffering together is powerful. Doing hard things together with other people, untangling things together (literally and figuratively), and being vulnerable together. That's culture code stuff. Whether it's skiing with your kids, seeing them fall and get back up, or being trapped underground like the Chilean miners. Behind every individual success is a community. Dan dedicates all his books to his wife, Jenny (except one). Growing up, he had this idea of individual success, individual greatness. But when you scratch one of those individual stories, what's revealed is a community of people. Jenny is the ecosystem that lets Dan do what he does. Going from writing project to writing project, hoping stuff works out, exploring... it's not efficient. It's not getting on the train to work and coming home at five o'clock. It's "I think I need to go to Russia" or "I need to dig into this." She's been more than a partner, an incredible teammate.  Great organizations aren't machines; they're rivers. The old model of leadership is the pilot of the boat, the person flipping levers who has all the answers. That's how most of us grew up thinking about leaders. But Indiana football, the SEALs, Pixar... when you get close to these organizations, they're not functioning like machines. Machines are controlled from the outside and produce predictable results. These organizations are more like energy channels that are exploring. They're like rivers. How do you make a river flow? Give it a horizon to flow toward (where are we going?), set up river banks (where we're not gonna go), but inside that space create energy and agency. Questions do that. Leaders who are good at lobbing questions in and then closing their mouth... that's the most powerful skill. Great teams have peer leaders who sacrifice. Since Indiana football's fresh in our minds... Peer leaders who sacrifice for the team are really big. Fernando Mendoza got smoked, battered, hammered, and he kept going without complaint. In his interview afterward, he talks about his teammates. That's the DNA of great teams. Adversity reveals everything. The litmus test: in moments of terrible adversity, what's the instinct? Are we turning toward each other or away from each other? You could see it in that game. The contrast between the two teams. When things went bad, they responded very differently. The coach isn't as important as you think. Coaches can create the conditions for the team to emerge, but great teams sometimes pit themselves against the coach. The US Olympic hockey team of 1980 would be an example. They came together against Herb Brooks. So coaching sets the tone, but it's not as big a part of DNA as people think. Curiosity keeps great teams from drinking their own Kool-Aid. The teams that consistently succeed don't get gassed up on their own stuff. They don't believe in their success. They're not buying into "now I'm at the top of the mountain, everything's fine." They get curious about that next mountain, curious about each other, curious about the situation. They're willing to let go of stuff that didn't work. Honor the departed. When someone gets traded in pro sports, it's like death. Their locker's empty like a gravestone. What the coach at OKC does: on the day after somebody gets traded, he spends a minute of practice expressing his appreciation for that person who's gone. How simple and human is that? How powerful? What makes people flourish is community. It's not a bunch of individuals that are individually together. Can they connect? Can they love their neighbor and support their neighbor? That's magical when it happens. The Chilean miners created civilization through rituals. 33 men, 2,000 feet underground, trapped for 69 days. The first couple hours went as bad as it could. People eating all the food, scrambling, yelling. Then they circled up and paused. The boss took off his helmet and said, "There are no bosses and no employees. We're all one here." Their attention shifted from terror and survival to the larger connection they had with each other. They self-organized. Built sleeping areas, rationed food, created games with limited light. Each meal they'd share a flake of tuna at the same time. When they got contact with the surface, they sang the Chilean national anthem together. They created a little model civilization that functioned incredibly well. Stopping and looking creates community. What let the miners flourish wasn't information or analysis. It was letting go. Having this moment of meaning, creating presence. All the groups Dan visited had this ability in all the busyness to stop and ask: What are we really about? What matters here? What is our community? Why are we here? What is bigger than us that we're connected to? They grounded themselves in those moments over and over. Getting smart only gets you so far. There's a myth in our culture that individuals can flourish. You see someone successful and think "that individual's flourishing." But underneath them, invisibly, they're part of a larger community. We only become our best through other people. We have a pronoun problem: I, me, when actually it's we and us. Self-improvement isn't as powerful as shared improvement. Ask energizing questions. "What's energizing you right now?" is a great question. "What do you want more of?" "What do you want to do differently?" (not "what are you doing poorly"). "Paint a picture five years from now, things go great, give me an average Tuesday." What you're trying to do is get people out of their narrow boredom, let go a little, surrender a little, open up and point out things in the corner of their eye. When things go rough, go help somebody. Craig Counsell on how to bounce back when you're having a bad day: "I try to go help somebody." That's it. Create presence conditions. The ski trips, the long drives, the shared meals, no phones. Schedule them. This is how connection happens, whether it's with your family or your people at work. Leaders who sustain excellence are intensely curious. Dan walked into the Guardians office expecting to pepper them with questions. The opposite happened. Jay, Chris, and Josh kept asking him question after question, wanting to learn. Leaders who sustain excellence have this desire to learn, improve, get better. Ask better questions. Actually listen. Ask follow-up questions. Curiosity is also the ultimate way to show love. Reflection Questions Dan says yellow doors are "out of the corner of your eye, things that make you uncomfortable or feel brand new." What's one yellow door you've been walking past lately? What's stopping you from opening it this week?The Chilean miners' boss took off his white helmet and said, "There are no bosses and no employees." Think about a moment of adversity your team is facing right now. Are you turning toward each other or away? What's one specific action you could take this week to help your team turn toward each other? Dan emphasizes we have a "pronoun problem" (I, me vs. we, us) and that "self-improvement isn't as powerful as shared improvement." Who are the 2-3 people you could invite into your growth journey right now? What would it look like to pursue excellence together instead of alone?

It's Episode 01 of Season 24. Enter the dark waters of the Cape Fear River as we present tales of watery horror."Rainbows" written by Kimberly W. Heiman (Story starts around 00:05:10)Produced by: Phil MichalskiCast: Angie - Marie Westbrook, Jimmy - Atticus Jackson"Backwater" written by Peter Genoway (Story starts around 00:15:15)TRIGGER WARNING!Produced by: Phil MichalskiCast: Maya - Linsay Rousseau, Nathan - Jeff Clement, Brock - David Cummings, Teddy - Matthew Bradford"Mermaids" written by Sean Seebach (Story starts around 00:48:25)TRIGGER WARNING!Produced by: Claudius MooreCast: Narrator - Kyle Akers, You - Atticus Jackson"My Coworker at the Laundromat Kept Hiding Inside the Machines" written by Kyle L. Grubb (Story starts around 01:01:30)TRIGGER WARNING!Produced by: Jeff ClementCast: Narrator - Sarah Thomas, Mia - Mary Murphy, Boy - Jeff Clement"The Span Man" written by Adam Sleper (Story starts around 01:15:45)TRIGGER WARNING!Produced by: Jesse CornettCast: Narrator - Dan Zappulla, Kendall - Nichole Goodnight, Span Man - Graham Rowat, Bar Patron - Jesse CornettClick here to learn more about The NoSleep Podcast teamClick here to learn more about the Crimewave at Sea 2.0 Cruise!Click here to get your Crimewave at Sea discount code and bonus event!Click here to learn more about Peter GenowayClick here to learn more about Sean SeebachClick here to learn more about Kyle L. GrubbClick here to learn more about Adam SleperExecutive Producer & Host: David CummingsMusical score composed by: Brandon Boone"Rainbows" illustration courtesy of Krys HookuhThe NoSleep Podcast is Human-made for Human Minds. No generative AI is used in any aspect of work.Audio program ©2026 - Creative Reason Media - The copyrights for each story are held by the respective authors. No duplication or reproduction of this audio program is permitted without the written consent of Creative Reason Media. No part of this audio program may be used or reproduced in any manner for the purpose of training artificial intelligence technologies or systems. All rights reserved.