Podcasts about machines

Brent Weaver, CEO of E2M Solutions, joins John Jantsch to explore how artificial intelligence is reshaping the agency landscape. As the leader of a top white-label provider of WordPress, SEO, content, and AI solutions, Brent shares insights on how agencies can adapt to evolving client expectations, leverage AI tools, and stay competitive in a rapidly shifting market. Listeners will gain valuable strategies for thriving in the post-AI era of marketing. Today we discussed: 00:00 Start 01:03 Meet Brent Weaver 01:47 AI Changes Everything 03:06 Embracing AI for Agencies 04:25 AI Adoption Challenges 07:33 AI Hype vs. Reality 08:32 SEO in the AI Era 11:59 Local SEO Still Matters 12:51 Post-AI Competition 14:13 Humans vs. Machines 15:23 AI-Powered Customer Experience 17:20 Brent's AI Journey 18:41 From Doer to Strategist Rate, Review, & Follow If you liked this episode, please rate and review the show. Let us know what you loved most about the episode. Struggling with strategy? Unlock your free AI-powered prompts now and start building a winning strategy today!

If this conversation seems easy, it's because we are back in the cold waters of our favorite nation. Herein, we dig into the good deeds of Norway's often vexing but always pleasing The 3rd and the Mortal. We attempt to peel away the band's many layers and untangle its knotty evolution. Should you care about cutting-edge Norweird - and if you have stuck with us for all this time, surely you do - please join us on this most titillating conversation. Note I: After all that flugelhorn talk, turns out Jeff mis-horned. It's actually a crumhorn on Gryphon's Red Queen to Gryphon Three album. A crumhorn! Note II: The Ulver song title we were trying to remember: “I Love You, but I Prefer Trondheim (Parts 1-4) (A. Wiltzie vs. Stars of the Lid remix)” (from First Decade in the Machines, 2003) Note III: The Radical Research Patreon page is now set up and ready for your patronage. We are offering tiered subscription levels for those who want a set-it-and-forget-it donation option. As ever, if you choose to support us, we are humbled and grateful! patreon.com/RadicalResearchPodcast Note IV: All past Radical Research episodes can be found here, where you can also find Jeff's Peter Steele book, Soul on Fire…and more to come soon! Radicalresearch.org Note V: We are regularly posting newer and older episode to our Youtube channel. Please check that out here and please subscribe if you wanna aid in getting all our coverage into more people's feeds: https://www.youtube.com/@radicalresearchpodcast4942 Music cited in order of appearance: “Ring of Fire” (Sorrow, 1994) “Why So Lonely” (Tears Laid in Earth, 1994) “Death Hymn” (Tears Laid in Earth, 1994) “In Mist Shrouded” (Tears Laid in Earth, 1994) “Neurosis” (Nightswan, 1995) “Commemoration” (Painting on Glass, 1996) “Persistent and Fleeting” (Painting on Glass, 1996) “Veiled Exposure” [two parts] (Painting on Glass, 1996) “Stream” (In This Room, 1997) “Sophisticated Vampires” (In This Room, 1997) “Did You” (In This Room, 1997) “Zeppoliner” (Memoirs, 2002) “Spider” (Memoirs, 2002) Radical Research is a conversation about the inner- and outer-reaches of rock and metal music. This podcast is conceived and conducted by Jeff Wagner and Hunter Ginn. Though we consume music in a variety of ways, we give particular privilege to the immersive, full-album listening experience. Likewise, we believe that tangible music formats help provide the richest, most rewarding immersions and that music, artwork, and song titles cooperate to produce a singular effect on the listener. Great music is worth more than we ever pay for it.

See More: https://thinkfuture.substack.comConnect With Sam: https://www.linkedin.com/in/sam-bigdeli-5310b923/---Why the next wave of AI won't just answer questions—it will explore, sense, and predict.In this episode of thinkfuture, host Chris Kalaboukis talks with Sam Bigdeli, co-founder and CEO of KavAI, about his vision for Curious AI—a new approach that moves beyond language models to create AI that actively engages with the physical world.Sam explains why today's AI systems are like “savants”—brilliant at data recall, but poor at contextual reasoning. Curious AI, on the other hand, is designed to simulate the way humans explore, hypothesize, and learn from limited sensory input.We cover:- Why large language models (LLMs) aren't enough for real-world intelligence- The importance of embodiment and multimodal sensing for AI systems- How Curious AI actively acquires information instead of waiting to be prompted- Applications in industrial domains like refineries, power plants, and predictive maintenance- The future of AI and robotics—human-like avatars vs. task-optimized systems- Why human creativity and judgment will always remain essentialSam envisions a future where AI isn't just reactive—it's proactive, curious, and capable of helping us manage complex, dynamic systems more effectively.If you're interested in the cutting edge of AI, robotics, and the future of human-machine collaboration, this is an episode you won't want to miss.

In this episode of The Product Experience, Randy Silver and Lily Smith sit down with Katja Forbes, Executive Director at Standard Chartered Bank, design leader, and lecturer, to explore the fast-approaching world of machine customers.Katja shares why businesses must prepare for a future where AI agents, autonomous vehicles, and procurement bots act as customers, and what this means for product managers, designers, and organisations.Key takeawaysMachine customers are here already. From booking services for Tesla cars to procurement bots closing contracts, AI-driven commerce is no longer hypothetical.APIs are necessary but insufficient. Businesses need to think beyond plumbing and address trust, compliance, and customer experience for non-human agents.Signal clarity matters. Organisations must make their value propositions machine-readable to remain competitive.Trust will be quantified. Compliance signals, ESG proof, uptime guarantees, and reliability ratings will replace human gut instinct.New roles will emerge. Trust analysts and human–machine hybrid coordinators will be critical in shaping future interactions.Ethics cannot be ignored. Without careful design, agentic commerce could amplify consumerism and poor societal outcomes.Practical first step. Even small businesses can prepare by structuring their product and service data into machine-readable formats.Product managers must adapt. The skill to manage ambiguity, think systemically, and anticipate unintended consequences will be central to success.Featured Links: Follow Katja on LinkedIn | Katja's website | Sign-up for pre sale access to Katja's forthcoming book 'The CX Evolutionist'Our HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath. Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

On this episode of Chit Chat Stocks, we continue our Super Investor series by covering Dev Kantesaria of Valley Forge Capital. The Buffett disciple has invested in huge winners over the last two decades including S&P Global, Fico, and Mastercard. We discuss:(03:37) Dev Kantesaria's Unique Background(06:20) Investment Philosophy and Approach(09:23) Portfolio Analysis and Key Metrics(12:38) Case Study: Fair Isaac Corporation (FICO)(32:20) Unlocking Pricing Power: The FICO Case Study(37:25) S&P Global: A Long-Term Investment Perspective(44:14) Valley Forge Fund Performance: Analyzing Returns(50:24) Key Takeaways from Kantesaria's Investment Philosophy(56:33) AI and Investment Uncertainty: A Cautionary Perspective*****************************************************JOIN OUR NEWSLETTER AND FREE CHAT COMMUNITY: https://chitchatstocks.substack.com/ *********************************************************************Chit Chat Stocks is presented by Interactive Brokers. Get professional pricing, global access, and premier technology with the best brokerage for investors today: https://www.interactivebrokers.com/ Interactive Brokers is a member of SIPC. *********************************************************************Fiscal.ai is building the future of financial data.With custom charts, AI-generated research reports, and endless analytical tools, you can get up to speed on any stock around the globe. All for a reasonable price. Use our LINK and get 15% off any premium plan: ⁠https://fiscal.ai/chitchat *********************************************************************Disclosure: Chit Chat Stocks hosts and guests are not financial advisors, and nothing they say on this show is formal advice or a recommendation.

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss why enterprise generative AI projects often fail to reach production. You’ll learn why a high percentage of enterprise generative AI projects reportedly fail to make it out of pilot, uncovering the real reasons beyond just the technology. You’ll discover how crucial human factors like change management, user experience, and executive sponsorship are for successful AI implementation. You’ll explore the untapped potential of generative AI in back-office operations and process optimization, revealing how to bridge the critical implementation gap. You’ll also gain insights into the changing landscape for consultants and agencies, understanding how a strong AI strategy will secure your competitive advantage. Watch now to transform your approach to AI adoption and drive real business results! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-why-enterprise-generative-ai-projects-fail.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn – 00:00 In this week’s In Ear Insights, the big headline everyone’s been talking about in the last week or two about generative AI is a study from MIT’s Nanda project that cited the big headline: 95% of enterprise generative AI projects never make it out of pilot. A lot of the commentary clearly shows that no one has actually read the study because the study is very good. It’s a very good study that walks through what the researchers are looking at and acknowledged the substantial limitations of the study, one of which was that it had a six-month observation period. Katie, you and I have both worked in enterprise organizations and we have had and do have enterprise clients. Some people can’t even buy a coffee machine in six months, much less route a generative AI project. Christopher S. Penn – 00:49 But what I wanted to talk about today was some of the study’s findings because they directly relate to AI strategy. So if you are not an AI ready strategist, we do have a course for that. Katie Robbert – 01:05 We do. As someone, I’ve been deep in the weeds of building this AI ready strategist course, which will be available on September 2. It’s actually up for pre-sale right now. You go to trust insights AI/AI strategy course. I just finished uploading everything this morning so hopefully I used all the correct edits and not the ones with the outtakes of me threatening to murder people if I couldn’t get the video done. Christopher S. Penn – 01:38 The bonus, actually, the director’s edition. Katie Robbert – 01:45 Oh yeah, not to get too off track, but there was a couple of times I was going through, I’m like, oops, don’t want to use that video. But back to the point, so obviously I saw the headline last week as well. I think the version that I saw was positioned as “95% of AI pilot projects fail.” Period. And so of course, as someone who’s working on trying to help people overcome that, I was curious. When I opened the article and started reading, I’m like, “Oh, well, this is misleading,” because, to be more specific, it’s not that people can’t figure out how to integrate AI into their organization, which is the problem that I help solve. Katie Robbert – 02:34 It’s that people building their own in-house tools are having a hard time getting them into production versus choosing a tool off the shelf and building process around it. That’s a very different headline. And to your point, Chris, the software development life cycle really varies and depends on the product that you’re building. So in an enterprise-sized company, the likelihood of them doing something start to finish in six months when it involves software is probably zero. Christopher S. Penn – 03:09 Exactly. When you dig into the study, particularly why pilots fail, I thought this was a super useful chart because it turns out—huge surprise—the technology is mostly not the problem. One of the concerns—model quality—is a concern. The rest of these have nothing to do with technology. The rest of these are challenging: Change management, lack of executive sponsorship, poor user experience, or unwillingness to adopt new tools. When we think about this chart, what first comes to mind is the 5 Ps, and 4 out of 5 are people. Katie Robbert – 03:48 It’s true. One of the things that we built into the new AI strategy course is a 5P readiness assessment. Because your pilot, your proof of concept, your integration—whatever it is you’re doing—is going to fail if your people are not ready for it. So you first need to assess whether or not people want to do this because that’s going to be the thing that keeps this from moving forward. One of the responses there was user experience. That’s still people. If people don’t feel they can use the thing, they’re not going to use it. If it’s not immediately intuitive, they’re not going to use it. We make those snap judgments within milliseconds. Katie Robbert – 04:39 We look at something and it’s either, “Okay, this is interesting,” or “Nope,” and then close it out. It is a technology problem, but that’s a symptom. The root is people. Christopher S. Penn – 04:52 Exactly. In the rest of the paper, in section 6, when it talks about where the wins were for companies that were successful, I thought this was interesting. Lead qualification, speed, customer retention. Sure, those are front office things, but the paper highlights that the back office is really where enterprises will win using generative AI. But no one’s investing it. People are putting all the investment up front in sales and marketing rather than in the back office. So the back office wins. Business process optimization. Elimination: $2 million to $10 million annually in customer service and document processing—especially document processing is an easy win. Agency spend reduction: 30% decrease in external, creative, and content costs. And then risk checks for financial services by doing internal risk management. Christopher S. Penn – 05:39 I thought this was super interesting, particularly for our many friends and colleagues who work at agencies, seeing that 30% decrease in agency spend is a big deal. Katie Robbert – 05:51 It’s a huge deal. And this is, if we dig into this specific line item, this is where you’re going to get a lot of those people challenges because we’re saying 30% decrease in external creative and content costs. We’re talking about our designers and our writers, and those are the two roles that have felt the most pressure of generative AI in terms of, “Will it take my job?” Because generative AI can create images and it can write content. Can it do it well? That’s pretty subjective. But can it do it? The answer is yes. Christopher S. Penn – 06:31 What I thought was interesting says these gains came without material workforce reduction. Tools accelerated work, but did not change team structures or budgets. Instead, ROI emerged from reduced external spend, limiting contracts, cutting agency fees, replacing expensive consultants with AI-powered internal capabilities. So that makes logical sense if you are spending X dollars on something, an agency that writes blog content for you. When we were back at our old PR agency, we had one firm that was spending $50,000 a month on having freelancers write content that when you and I reviewed, it was not that great. Machines would have done a better job properly prompted. Katie Robbert – 07:14 What I find interesting is it’s saying that these gains came without material workforce reduction, but that’s not totally true because you did have to cut your agency fees, which is people actually doing the work, and replacing expensive consultants with AI-powered internal capabilities. So no, you didn’t cut workforce reduction at your own company, but you cut it at someone else’s. Christopher S. Penn – 07:46 Exactly. So the red flag there for anyone who works in an agency environment or a consulting environment is how much risk are you at from AI taking your existing clients away from you? So you might not lose a client to another agency—you might lose a client to an internal AI project where if there isn’t a value add of human beings. If your agency is just cranking out templated press releases, yeah, you’re at risk. So I think one of the first things that I took away from this report is that every agency should be doing a very hard look at what value it provides and saying, “How easy is it for AI to replicate this?” Christopher S. Penn – 08:35 And if you’re an agency and you’re like, “Oh, well, we can just have AI write our blog posts and hand it off to the client.” There’s nothing stopping the client from doing that either and just getting rid of you entirely. Katie Robbert – 08:46 The other thing that sticks out to me is replacing expensive consultants with AI-powered internal capabilities. Technically, Chris, you and I are consultants, but we’re also the first ones to knock the consulting industry as a whole, because there’s a lot of smoke and mirrors in the consulting industry. There’s a lot of people who talk a big talk, have big ideas, but don’t actually do anything useful and productive. So I see this and I don’t immediately think, “Oh, we’re in trouble.” I think, “Oh, good, it’s going to clear out the rest of the noise in the industry and make way for the people who can actually do something.” Christopher S. Penn – 09:28 And that is the heart and soul, I think, for us. Obviously, we have our own vested interest in ensuring that we continue to add value to our clients. But I think you’re absolutely right that if you are good at the “why”—which is what a lot of consulting focuses on—that’s important. If you’re good at the “what”—which is more of the tactical stuff, “what are you going to do?”—that’s important. But what we see throughout this paper is the “how” is where people are getting tangled up: “How do we implement generative AI?” If you are just a navel-gazing ChatGPT expert, that “how” is going to bite you really hard really soon. Christopher S. Penn – 10:13 Because if you go and read through the rest of the paper, one of the things it talks about is the gap—the implementation gap between “here’s ChatGPT” and then for the enterprise it was like, “Well, here’s all of our data and all of our systems and all of our everything else that we want AI to talk to in a safe and secure way.” And this gap is gigantic between these two worlds. So tools like ChatGPT are being relegated to, “Let’s write more blog posts and write some press releases and stuff” instead of “help me actually get some work done with the things that I have to do in a prescribed way,” because that’s the enterprise. That gap is where consulting should be making a difference. Christopher S. Penn – 10:57 But to your point, with a lot of navel-gazing theorists, no one’s bridging that gap. Katie Robbert – 11:05 What I find interesting about the shift that we’ve seen with generative AI is we’ve almost in some ways regressed in the way that work is getting done. We’re looking at things as independent, isolated tasks versus fully baked, well-documented workflows. And we need to get back to those holistic 360-degree workflows to figure out where we can then insert something generative AI versus picking apart individual tasks and then just having AI do that. Now I do think that starting with a proof of concept on an individual task is a good idea because you need to demonstrate some kind of success. You need to show that it can do the thing, but then you need to go beyond that. It can’t just forever, to your point, be relegated to writing blog posts. Katie Robbert – 12:05 What does that look like as you start to expand it from project to program within your entire organization? Which, I don’t know if you know this, there’s a whole lesson about that in the AI strategy course. Just figured I would plug that. But all kidding aside, that’s one of the biggest challenges that I’m seeing with organizations that “disrupt” with AI is they’re still looking at individual tasks versus workflows as a whole. Christopher S. Penn – 12:45 Yep. One of the things that the paper highlighted was that the reason why a lot of these pilots fail is because either the vendor or the software doesn’t understand the actual workflow. It can do the miniature task, but it doesn’t understand the overall workflow. And we’ve actually had input calls with clients and potential clients where they’ve walked us through their workflow. And you realize AI can’t do all of it. There’s just some parts that just can’t be done by AI because in many cases it’s sneaker-net. It’s literally a human being who has to move stuff from one system to another. And there’s not an easy way to do that with generative AI. The other thing that really stood out for me in terms of bridging this divide is from a technological perspective. Christopher S. Penn – 13:35 The biggest hurdle from the technology side was cited as no memory. A tool like ChatGPT and stuff has no institutional memory. It can’t easily connect to your internal knowledge bases. And at an enterprise, that’s a really big deal. Obviously, at Trust Insights’ size—with five or four employees and a bunch of AI—we don’t have to synchronize and coordinate massive stores of institutional knowledge across the team. We all pretty much know what’s going on. When you are an IBM with 300,000 employees, that becomes a really big issue. And today’s tools, absent those connectors, don’t have that institutional memory. So they can’t unlock that value. And the good news is the technology to bridge that gap exists today. It exists today. Christopher S. Penn – 14:27 You have tools that have memory across an entire codebase, across a SharePoint instance. Et cetera. But where this breaks down is no one knows where that information is or how to connect it to these tools, and so that huge divide remains. And if you are a company that wants to unlock the value of gen AI, you have to figure out that memory problem from a platform perspective quickly. And the good news is there’s existing tools that do that. There’s vector databases and there’s a whole long list of acronyms and tongue twisters that will solve that problem for you. But the other four pieces need to be in place to do that because it requires a huge lift to get people to be willing to share their data, to do it in a secure way, and to have a measurable outcome. Katie Robbert – 15:23 It’s never a one-and-done. So who owns it? Who’s going to maintain it? What is the process to get the information in? What is the process to get the information out? But even backing up further, the purpose is why are we doing this in the first place? Are we an enterprise-sized company with so many employees that nobody knows the same information? Or am I a small solopreneur who just wants to have some protection in case something happens and I lose my memory or I want to onboard someone new and I want to do a knowledge-share? And so those are very different reasons to do it, which means that your approach is going to be slightly different as well. Katie Robbert – 16:08 But it also sounds like what you’re saying, Chris, is yes, the technology exists, but not in an easily accessible way that you could just pick up a memory stick off the shelf, plug it in, and say, “Boom, now we have memory. Go ahead and tell it everything.” Christopher S. Penn – 16:25 The paper highlights in section 6.5 where things need to go right, which is Agentic AI. In this case, Agentic AI is just fancy for, “Hey, we need to connect it to the rest of our systems.” It’s an expensive consulting word and it sounds cool. Agentic AI and agentic workflows and stuff, it really just means, “Hey, you’ve got this AI engine, but it’s not—you’re missing the rest of the car, and you need the rest of the car.” Again, the good news is the technology exists today for these tools to have access to that. But you’re blocking obstacles, not the technology. Christopher S. Penn – 17:05 Your governance is knowing where your data lives and having people who have the skills and knowledge to bring knowledge management practices into a gen AI world because it is different. It is not the same as previous knowledge management initiatives. We remember all the “in” with knowledge management was all the rage in the 90s and early 2000s with knowledge management systems and wikis and internal things and SharePoint and all that stuff, and no one ever kept it up to date. Today, Agentic can solve some of those problems, but you need to have all the other human being stuff in place. The machines can’t do it by themselves. Katie Robbert – 17:51 So yes, on paper it can solve all those problems. But no, it’s not going to. Because if we couldn’t get people to do it in a more analog way where it was really simple and literally just upload the latest document to the server or add 2 lines of detail to your code in terms of what this thing is about, adding more technology isn’t suddenly going to change that. It’s just adding another layer of something people aren’t going to do. I’m very skeptical always, and I just feel this is what’s going to mislead people. They’re like, “Oh, now I don’t have to really think about anything because the machine is just going to know what I know.” But it’s that initial setup and maintenance that people are going to skip. Katie Robbert – 18:47 So the machine’s going to know what it came out of the box with. It’s never going to know what you know because you’ve never interacted with it, you’ve never configured with it, you’ve never updated it, you’ve never given it to other people to use. It’s actually just going to become a piece of shelfware. Christopher S. Penn – 19:02 I will disagree with you there. For existing enterprise systems, specifically Copilot and Gemini. And here’s why. Those tools, assuming they’re set up properly, will have automatic access to the back-end. So they’ll have access to your document store, they’ll have access to your mail server, they’ll have access to those things so that even if people don’t—because you’re right, people ain’t going to do it. People ain’t going to document their code, they’re not going to write up detailed notes. But if the systems are properly configured—and that is a big if—it will have access to all of your Microsoft Teams transcripts, it will have access to all of your Google Meet transcripts and all that stuff. And on the back-end, without participation from the humans, it will at least have a greater scope of knowledge across your company properly configured. Christopher S. Penn – 19:50 That’s the big asterisk that will give those tools that institutional memory. Greater institutional memory than you have now, which at the average large enterprise is really siloed. Marketing has no idea what sales is doing. Sales has no idea what customer service is doing. But if you have a decent gen AI tool and a properly configured back-end infrastructure where the machines are already logging all your documents and all your spreadsheets and all this stuff, without you, the human, needing to do any work, it will generate better results because it will have access to the institutional data source. Katie Robbert – 20:30 Someone still has to set it up and maintain it. Christopher S. Penn – 20:32 Correct. Which is the whole properly configured part. Katie Robbert – 20:36 It’s funny, as you’re going through listing all of the things that it can access, my first thought is most of those transcripts aren’t going to be useful because people are going to hop on a call and instead of getting things done, they’re just going to complain about whatever their boss is asking them to do. And so the institutional knowledge is really, it’s only as good as the data you give it. And I would bet you, what is it that you like to say? A small pastry with the value of less than $5 or whatever it is. Basically, I’ll bet you a cookie that the majority of data that gets into those systems with spreadsheets and transcripts and documents and we’re saying all these things is still junk, is still unuseful. Katie Robbert – 21:23 And so you’re going to have a lot of data in there that’s still garbage because if you’re just automatically uploading everything that’s available and not being picky and not cleaning it and not setting standards, you’re still going to have junk. Christopher S. Penn – 21:37 Yes, you’ll still have junk. Or the opposite is you’ll have issues. For example, maybe you are at a tech company and somebody asks the internal Copilot, “Hey, who’s going to the Coldplay concert this weekend?” So yes, data security and stuff is going to be an equally important part of that to know that these systems have access that is provisioned well and that has granular access control. So that, say, someone can’t ask the internal Copilot, “Hey, what does the CEO get paid anyway?” Katie Robbert – 22:13 So that is definitely the other side of this. And so that gets into the other topic, which is data privacy. I remember being at the agency and our team used Slack, and we could see as admins the stats and the amount of DMs that were happening versus people talking in public channels. The ratios were all wrong because you knew everybody was back-channeling everything. And we never took the time to extract that data. But what was well-known but not really thought of is that we could have read those messages at any given time. And I think that’s something that a lot of companies take for granted is that, “Oh, well, I’m DMing someone or I’m IMing someone or I’m chatting someone, so that must be private.” Christopher S. Penn – 23:14 It’s not. All of that data is going to get used and pulled. I think we talked about this on last week’s podcast. We need to do an updated conversation and episode about data privacy. Because I think we were talking last week about bias and where these models are getting their data and what you need to be aware of in terms of the consumer giving away your data for free. Christopher S. Penn – 23:42 Yep. But equally important is having the internal data governance because “garbage in, garbage out”—that rule never changes. That is eternal. But equally true is, do the tools and the people using them have access to the appropriate data? So you need the right data to do your job. You also want to guard against having just a free-for-all, where someone can ask your internal Copilot, “Hey, what is the CEO and the HR manager doing at that Coldplay concert anyway?” Because that will be in your enterprise email, your enterprise IMs, and stuff like that. And if people are not thoughtful about what they put into work systems, you will see a lot of things. Christopher S. Penn – 24:21 I used to work at a credit union data center, and as an admin of the mail system, I had administrative rights to see the entire system. And because one of the things we had to do was scan every message for protected financial information. And boy, did I see a bunch of things that I didn’t want to see because people were using work systems for things that were not work-related. That’s not AI; it doesn’t fix that. Katie Robbert – 24:46 No. I used to work at a data-entry center for those financial systems. We were basically the company that sat on top of all those financial systems. We did the background checks, and our admin of the mail server very much abused his admin powers and would walk down the hall and say to one of the women, referencing an email that she had sent thinking it was private. So again, we’re kind of coming back to the point: these are all human issues machines are not going to fix. Katie Robbert – 25:22 Shady admins who are reading your emails or team members who are half-assing the documentation that goes into the system, or IT staff that are overloaded and don’t have time to configure this shiny new tool that you bought that’s going to suddenly solve your knowledge expertise issues. Christopher S. Penn – 25:44 Exactly. So to wrap up, the MIT study was decent. It was a decent study, and pretty much everybody misinterpreted all the results. It is worth reading, and if you’d like to read it yourself, you can. We actually posted a copy of the actual study in our Analytics for Marketers Slack group, where you and over 4,000 of the marketers are asking and answering each other’s questions every single day. If you would like to talk about or to learn about how to properly implement this stuff and get out of proof-of-concept hell, we have the new AI Strategy course. Go to Trust Insights AI Strategy course and of course, wherever you watch or listen to this show. Christopher S. Penn – 26:26 If there’s a challenge you’d rather have, go to trustinsights.ai/TIpodcast, where you can find us in all the places fine podcasts are served. Thanks for tuning in. We’ll talk to you on the next one. Katie Robbert – 26:41 Know More About Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Trust Insights services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Katie Robbert – 27:33 Trust Insights also offers expert guidance on social media analytics, marketing technology and Martech selection and implementation, and high-level strategic consulting encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama. Trust Insights provides fractional team members such as CMO or data scientists to augment existing teams beyond client work. Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In-Ear Insights Podcast, the Inbox Insights newsletter, the So What? Livestream webinars, and keynote speaking. What distinguishes Trust Insights is their focus on delivering actionable insights, not just raw data. Trust Insights is adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet they excel at explaining complex concepts clearly through compelling narratives and visualizations. Katie Robbert – 28:39 Data Storytelling. This commitment to clarity and accessibility extends to Trust Insights’ educational resources, which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you’re a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

Dr. Phil explores the rise of AI companions, from digital love to conversations with the dead, and asks: Are we redefining connection or losing humanity? Artificial intelligence is no longer just powering apps—it's reshaping how people love, grieve, and connect. On this episode, Dr. Phil investigates the explosive rise of AI companions. Social media star Caryn Marjorie shares how her AI chatbot, CarynAI, went viral and exposed the dangers of emotional dependency. Justin Harrison, the founder of You, Only Virtual (YOV), explains how his company lets people “talk” with deceased loved ones, rewriting the way we process grief. Eugenia, the mind behind Replika, warns of the risks when AI intimacy replaces real human bonds.  Subscribe | Rate | Share: YouTube: https://bit.ly/3H3lJ8n/ Apple Podcasts: https://apple.co/3W76ihW/ Spotify: https://spoti.fi/44IhdWV/ Website: https://www.drphilpodcasts.com #AILove  #AICompanions  #ArtificialIntimacy  #Replika  #CarynAI  #DrPhilPodcast #FutureOfConnection #AIandLove #DigitalGrief #HumanVsMachine

Exercise is good for strengthening your bones. However, if you have osteoporosis, the wrong gym moves could actually make things worse. These are mistakes I often see, even from well-meaning trainers and fitness enthusiasts. In this episode, I'm sharing three common gym mistakes that can put anyone with osteoporosis at serious risk, along with alternative actions to take.  You'll learn why certain movements can increase fracture risk, which popular exercises should be modified or avoided, and how to build strength safely without sacrificing bone health. I'll also share how to protect your spine, improve balance, and create a routine that supports your long-term wellness. If you or a loved one has osteoporosis, this conversation is essential before hitting the gym. By making a few smart adjustments, you can enjoy exercise, prevent injuries, and maintain strong bones for years to come. Tune in now to discover the 3 mistakes to avoid at the gym if you have osteoporosis! For more information, you can also check the episode below: The Best Exercises to Prevent Fractures and Strengthen Bones | Dr. Claudia Tamas & Margie Bissinger - https://www.youtube.com/watch?v=_FLlEykJ1kg   “No one has to get injured–it's the most ridiculous thing. The machines can really be a benefit when used properly." ~ Margie Bissinger   In this episode: - [00:43] - Mistake #1: Poor posture and ignoring safety precautions - [04:10] - Mistake #2: Not activating the core properly - [07:50] - Mistake #3: Not lifting enough  - [12:10] - Machines and movements to help strengthen your bones - [19:50] - Final tips for exercising confidently with osteoporosis   Resources mentioned - Fullscript - Supplements at a discounted rate - https://tinyurl.com/supplementsforless - Core. Posture, and Gym Equipment for Osteoporosis-Safe Exercise - https://www.happyboneshappylife.com/core-posture-gym-equipment-for-osteoporosis-safe-exercise-on-demand - Dr. Claudia Tamas Onero Program in Somerset, NJ - https://www.nmrnj.com/our-services/osteoporosis-onero-program/ - Onero locations worldwide -https://onero.academy/locations/   More about Margie - Website - https://margiebissinger.com/  - Facebook - https://www.facebook.com/p/Margie-Bissinger-MS-PT-CHC-100063542905332/  - Instagram - https://www.instagram.com/margiebissinger/?hl=en    DISCLAIMER – The information presented on this podcast should not be construed as medical advice. It is not intended to replace consultation with your physician or healthcare provider. The ideas shared on this podcast are the expressed opinions of the guests and do not always reflect those of Margie Bissinger and Happy Bones, Happy Life Podcast. *In compliance with the FTC guidelines, please assume the following about links on this site: Some of the links going to products are affiliate links of which I receive a small commission from sales of certain items, but the price is the same for you (sometimes, I even get to share a unique discount with you). If I post an affiliate link to a product, it is something that I personally use, support, and would recommend. I personally vet each and every product. My first priority is providing valuable information and resources to help you create positive changes in your health and bring more happiness into your life. I will only ever link to products or resources (affiliate or otherwise) that fit within this purpose.

If you had $100,000 to spend on your machine shop, what would you spend it on? When I polled people on LinkedIn, out of 170 responses, 46% said they would buy a new machine, 33% said “robots and automation.” Only seventeen percent said “hire and train people.” Does this mean American shops have basically given [...]

- Introduction and Special Guest Interview (0:10) - Depopulation and Government's True Intentions (3:04) - Ukraine and the Rise of Robotic Armies (5:37) - The Human Race's Self-Destructive Tendencies (10:48) - The Gap Between Informed and Uninformed Individuals (13:17) - The Replacement of Human Jobs by AI (17:26) - The Impact of AI on Various Professions (22:25) - The Role of AI in Human Survival (45:03) - The Importance of Preparedness and Decentralization (1:13:45) - Special Reports and Future Plans (1:14:26) - Canadian Forest Fire Restrictions and Government Excuses (1:16:25) - Preparedness Strategies and Sponsorship (1:30:21) - Introduction of Larry Johnson and His Background (1:32:52) - AI Technology and Public Opinion Manipulation (1:34:55) - Russian Hack and Casualty Numbers (1:40:47) - Trump's Role in Peace Efforts and NATO Expansion (1:44:48) - Impact of Tariffs and Supply Chain Disruptions (1:55:18) - Russian Orthodoxy and European Animosity (2:07:33) - Ukrainian Public Opinion and Zelensky's Future (2:09:55) - Peace Dividends and AI Competition (2:17:16) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

Film critic and host of The Losers' Club and The Lady Killers podcast, Jenn Adams, returns to talk about the Frankenstein movie of the 2010s: Alex Garland's Ex Machina (2014). New episode every Friday.Follow us on Letterboxd to see what films we're covering.Produced and presented by Anna BogutskayaResearch Assistant: Frankie Wakefield***Music: "Neon Alley" by Karl Casey @ White Bat Audio***The Final Girls are a UK-based film collective exploring horror film history through a feminine lens.→ Support us on Patreon for bonus content.→ Find out more about our projects here: thefinalgirls.co.uk→ Follow us on Twitter and Instagram.→ Read Feeding the Monster

- FDA Advisory on Contaminated Shrimp (0:11) - Cesium Eliminator and Its Benefits (4:17) - Alternative Solutions and Warnings (12:59) - FDA's Role and Prussian Blue (23:50) - Additional Blue Dyes and Their Benefits (27:41) - Photo-Activated Nutrition and Fluorescence (33:49) - Health Ranger Store's Macaroni and Cheese (41:30) - Data Center Wars and Power Grid Vulnerabilities (49:05) - Modular Nuclear Reactors and Cold Fusion (1:14:45) - Government's Role in Energy Suppression (1:19:42) - Small Modular Reactors and Nuclear Power Advocacy (1:23:59) - Government Depopulation Agenda and Technological Advancements (1:28:17) - Human Extermination and Technological Singularity (1:36:32) - Economic Implications of Depopulation and Technological Advancements (1:48:13) - Interview with Tom Woods on Historical Narratives and Government Influence (1:49:06) - The Role of AI in the Future of Work and Human Society (2:37:16) - Impact of AI on Personal Services and Human Connection (2:38:43) - Historical Context and Human Identity (2:43:39) - AI in Agriculture and Decentralization (2:46:25) - Ethical and Privacy Concerns (2:51:02) - Future of AI and Human Reaction (2:53:56) For more updates, visit: http://www.brighteon.com/channel/hrreport NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

This week, Oz, Fluent and Euphonic salute former No Limit recording artist Mia X; Oz rants about "relationship goals"; Dr. Umar is panhandling again and the Boys want answers; Trump rolls out the National Guard in DC; Plus, your listener letters and the Top 3 STFUs. Pour Up! Song of the Week: Wizkid feat. Jazmine Sullivan- "Bad For You" Become a Patron! https://tinyurl.com/y576bpwv

What if your relationship with the robots—the algorithms, the bots, and the emerging AI tools—could be approached with softness and intention, just like any other relationship in your life? A playful yet grounding episode, exploring the rise of artificial intelligence through a lens of mindful curiosity, wonder, and loving amusement.  Rather than catastrophizing or glorifying AI, we explore how it might become a creative collaborator, a mirror for our own biases, and a surprising connector across generations.  As physicians and humans navigating change, our invitation is to approach this new reality with open hearts and hands wide open. Pearls of Wisdom: Mindfulness provides a robust framework for engaging with technology—not out of fear or resistance, but with intentionality, presence, and curiosity. AI reflects how we interact with it—when we ask thoughtful questions, we receive thoughtful answers. It's a mirror of our energy, not just our words. While AI can save time and support creativity, it cannot replicate the nuance, compassion, and healing presence of human connection. Wonder, loving amusement, and discernment are vital tools for navigating rapid technological change. Mindfully choosing how we relate to AI—just as we do with any relationship—gives us back our power and deepens our humanity. Reflection Questions: What emotions come up for you when you hear the word "AI"? Can you allow them all to be present? In what ways could AI support your values, creativity, or time? How might you bring intentionality and kindness into your relationship with the machines? If you're feeling called to explore your relationship with change, creativity, or your work in healthcare, I invite you to consider coaching with me. Whether you're navigating new technology or seeking more meaningful connections in your life and career, coaching creates space for clarity, intention, and aligned action. Learn more here: https://www.jessiemahoneymd.com/coaching If you're curious about what's possible when you step away from the machines and into spaciousness, join me for an upcoming retreat: www.jessiemahoneymd.com/retreats And if you'd like to bring this mindful approach to your team, institution, or event, I offer workshops and talks that integrate mindfulness, leadership, and well-being: www.jessiemahoneymd.com/speaking. Dr. Ni-Cheng Liang is also available to speak and lead mindfulness sessions. Learn more at: www.awakenbreath.org Nothing shared in the Healing Medicine Podcast is medical advice.  

HOLY MOLY!! Fixed Full Movie Reaction Watch Along   / thereelrejects   Support The Channel By Getting Some REEL REJECTS Aparrel! https://www.rejectnationshop.com/ Animation Legend Genndy Tartakovsky RETURNS with a Netflix Original feat of Hand-Drawn Adult Animation - Greg & John Give their FIXED Reaction, Recap, Commentary, Breakdown, & Full Movie Spoiler Review!! Get ready for a raunchy, animated romp as Fixed unleashes a surreal night in the life of Bull—a lovable staffordshire bull terrier who discovers he's scheduled to be neutered the next morning. Directed and co-written by Genndy Tartakovsky (Samurai Jack, Dexter's Laboratory, Primal) with acclaim for its bold, hand‑drawn 2D visuals, Fixed marks Sony Pictures Animation's first R‑rated animated feature. Voicing Bull is Adam DeVine (Workaholics, Pitch Perfect), joined by a standout voice cast including Idris Elba (Luther, Pacific Rim) as Rocco, Kathryn Hahn (Agatha All Along, Bad Moms) as Honey, Fred Armisen (Saturday Night Live, Portlandia) as Fetch, Beck Bennett (SNL, The Mitchells vs. the Machines) as Sterling, Bobby Moynihan (SNL, Spider-Verse) as Lucky, plus River Gallo, Michelle Buteau, and more! The plot zooms through Bull's desperate, gonad-obsessed escapades—storming dog clubs, chasing love, causing chaos in “Hump City,” and facing his deepest fears. Scenes like the dog's strip club, Kool-Aid toilet debacle, ball-themed existential chaos, and Bull's heartfelt confession to Honey are as hysterical as they are disturbing. Tartakovsky's signature visual style shines—even if the humor may wear thin quickly. Critics are divided: some praise the stunning hand-drawn animation and bold character design, while others chide the relentless crude punchlines! Intense Suspense by Audionautix is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/... Support The Channel By Getting Some REEL REJECTS Apparel! https://www.rejectnationshop.com/ Follow Us On Socials:  Instagram: https://www.instagram.com/reelrejects/  Tik-Tok: https://www.tiktok.com/@reelrejects?lang=en Twitter: https://x.com/reelrejects Facebook: https://www.facebook.com/TheReelRejects/ Music Used In Ad:  Hat the Jazz by Twin Musicom is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/ Happy Alley by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/... POWERED BY @GFUEL Visit https://gfuel.ly/3wD5Ygo and use code REJECTNATION for 20% off select tubs!! Head Editor: https://www.instagram.com/praperhq/?hl=en Co-Editor: Greg Alba Co-Editor: John Humphrey Music In Video: Airport Lounge - Disco Ultralounge by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/ Ask Us A QUESTION On CAMEO: https://www.cameo.com/thereelrejects Follow TheReelRejects On FACEBOOK, TWITTER, & INSTAGRAM:  FB:  https://www.facebook.com/TheReelRejects/ INSTAGRAM:  https://www.instagram.com/reelrejects/ TWITTER:  https://twitter.com/thereelrejects Follow GREG ON INSTAGRAM & TWITTER: INSTAGRAM:  https://www.instagram.com/thegregalba/ TWITTER:  https://twitter.com/thegregalba Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode: 3325 Machines That Forgot How to Fail: An AI Guest's Perspective on Reliability.  Today, our guest, ChatGPT, talks about machines that forgot to fail.

The Independent's Chief Film Critic Clarisse Loughrey comes onboard the Alien space ship to mount a passionate defense of the Alien prequels Prometheus (2012) and Alien: Covenant (2017), and argue that it's the best adaptation of the Frankenstein myth.  New episode every Friday.Follow us on Letterboxd to see what films we're covering.Produced and presented by Anna BogutskayaResearch Assistant: Frankie Wakefield***Music: "Neon Alley" by Karl Casey @ White Bat Audio***The Final Girls are a UK-based film collective exploring horror film history through a feminine lens.→ Support us on Patreon for bonus content.→ Find out more about our projects here: thefinalgirls.co.uk→ Follow us on Twitter and Instagram.→ Read Feeding the Monster

The artist Agnes Denes saw it coming. Machines taking over. Technology converging with consciousness. History on a pendulum swinging perilously back and forth. In this intimate conversation recorded with host Charlotte Burns in Denes' downtown Manhattan loft apartment and studio space, they talk about her work. When Denes wrote about these things more than 50 years ago, it was prescient, unsettling, and brilliant. Now the artist is in her mid-90s and is still writing and making art every day. And she's still asking the questions that matter: What is humanity's purpose? What is love? How do we survive? Denes planted wheat in downtown Manhattan on landfill that would become Battery Park City. She made ecological art before climate change was front page news. Her work spans conceptual art, poetry, drawings, installations, sculptures, writings and more. Twenty thousand pieces, mostly never seen. Today? She hands out wheat seeds like promises. Plant hope. Harvest peace. Become part of the art. The questions never change, she says. Only their importance shifts. What if we listened? Follow us: @schwartzman.art Website: www.schwartzmanand.com/  

Show Notes:Humans are not machines, so why do we treat ourselves like we are?In this episode, Eddie and Chris are joined by Dr. Warren Kinghorn, a psychiatrist who focuses on a more holistic approach to mental health, and health in general. Warren looks beyond merely reducing or eliminating the symptoms, because we aren't machines. We are beings who need nurture and care and love. He believes that being in community with one another and walking alongside each other in our struggles plays a significant role in caring for our hurting neighbors. Christian community can offer support in ways that help us to know and to affirm the truth of God's love, even in moments when we might not have the capacity to feel that love.Warren is the Esther Colliflower Professor of the Practice of Pastoral and Moral Theology at Duke University as well as the co-director of the Theology, Medicine, and Culture Initiative at Duke. He is also a staff psychiatrist at the Durham VA Medical Center.Resources:Buy Wayfaring: A Christian Approach to Mental Health Care

CUJO is a podcast about culture in the age of platforms. Episodes drop every other week, but if you want the full experience — including access to our CUJOPLEX Discord and our eternal parasocial friendship — we recommend signing up for a paid subscription.Paid subscribers also get access to The Weather Report, a new monthly episode series where we take stock of where the cultural winds are blowing and tell you what's rained into our brains. In the first installment, we wax philosophical about Ari Aster's Eddington, the future of search, and the alleged returned of Butt Rock. These days, it feels like the web is becoming… less of a web. Websites aren't getting visitors anymore, employees are worried that they're going to be replaced by AI agents, and the search tools we used to rely on to pull up the information we need are deliberately enshittifying themselves. It's like the internet as we know it — fundamentally, a thing that connects people with other people — is being swallowed up by AI and smooshed down into the cramped, impersonal space of a chatbot interface, whether we like it or not.Or, as New York Magazine tech journalist John Herrman recently put it, “The World Wide Web … has been going through something akin to ecological collapse.” John has been keeping close tabs on these developments in his excellent column “Screen Time,” where he recently reported on the emerging field of generative-engine optimization, or GEO. Think: SEO, but for the AI-consolidated internet.We invited John on the show for a wide-ranging conversation about the strange new chapter of the internet that is materializing before our eyes—and what our experience of the web might look like a world where conversational AI becomes our main portal to the digital realm. We discuss the shift from SEO to GEO, why we're all reading Reddit a lot more now, and what we stand to lose (and, in some cases, gain) in a world where we summon our information from chatbots.Finally, we get into what New York Times writer Mike Isaac is calling the dawn of Silicon Valley's “Hard Tech” era: a vibe shift away from the consumer-focused, employee-friendly, optimistic culture of the 2010s to the more cutthroat, bossist, AI and data center-obsessed tech culture of the present.Follow John on BlueskyRead “Screen Time” at New York Magazine's Intelligencer More by John: “What's the deal with GPT-5?”“SEO is dead. Say hello to GEO.”“The AI boom is expanding Google's dominance” “Why you are reading Reddit a lot more these days”“At work, in school, and online, it's now AI versus AI” This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit theculturejournalist.substack.com/subscribe

Today on the Pumpkast, Frank is joined by Asherella to discuss the recent Billy Corgan and the Machines of God tour. They also discuss the late great Ozzy, the Pumpkins' place in "classic rock" for younger generations, Night of Mellon Collie plans and Frank's 6-year-old daughter makes a brief appearance to give her review of The Smashing Pumpkins' music. We also hear BCatMOG stories from listeners Judy June, Don Dobos, Eve, Dean Schaffer and Josef Luciano. Special thanks to splra.org and YouTube users pumpkinhead1977, polkadotpam, Greg Fasolino, PAbLO HONEY, deadhoarse, Norman Weichel, Smshn

In this episode, we sit down with one of college baseball's premier hitting minds — Dallas Baptist Head Coach Dan Heefner. We dive deep into DBU's offensive philosophy, the role of challenging training environments, and why hitting machines are a non-negotiable in their development process. Coach Heefner also breaks down how movement-focused drills shape a hitter's swing, improve adjustability, and prepare players to perform under game pressure.Whether you're a coach, player, or just a baseball junkie, this conversation is packed with actionable insight you can take straight to the cage.Join our Mailing list at https://backsidegbmedia.beehiiv.com/Follow on Twitter @BacksideGBFollow on Instagram @backsidegroundballsFollow on TikTok @backsidegroundball0:00 - Intro0:25 - DBU's Offensive Philosophy2:25 - Building a Culture for Offense4:00 - Create Good Hitter, not Good Swingers6:10 - Balancing Data w/ Performance8:30 - Importance of Challenging Environments11:10 - Guardrails to Ensure Hitters Stay Mentally Ready13:00 - Difference Between Fall & Spring in Development16:35 - Creating Adjustability for a Hitter18:40 - Building the Engine21:25 - Traits of Elite Hitters23:30 - Importance of Individualized Routines25:55 - Real vs. Feel26:45 - Utilizing Video for Development31:20 - Drill Work32:40 - Importance of Vision for Hitters35:25 - Trial & Error for Hitters

What do you need to know to get the most out of your MedX machines and give your strength training clients the best possible results?   In this previously members-only episode, we're featuring award-winning trainer and MedX expert Bill Crawford, the founder of Basic Training in Scottsdale, Arizona.    We go into detail on how to get the most in terms of configuring your machines, optimizing for different client builds and heights, how to coach specific exercises, how to use MedX equipment as a proper selling point for your fitness business, and more.   If you use MedX machines and want to get even more out of them, don't miss this timeless expert interview with one of the best! ━━━━━━━━━━━━ Grab my free HIT business strategy course on how to scale without burnout here ━━━━━━━━━━━━ Join HIT Experts in the HIB Community here ━━━━━━━━━━━━ For the complete show notes, links, and resources, click here

San Fernando Valley Break ins – Police response times. Smaller city police have better response times. Carjacking police chase – suspects carjacked 4 different vehicles. Historic female MLB umpire Jen Pawol's debut performance results behind home plate are finally in...WNBA new netting for the dildos being thrown.  Fast Food indicated of where the economy is going. Breakfast is not the easiest meal to make. Woman gets stuck in Chuck E Chesse claw machine  Crack Barrel gets a modern make over  

Learn about the top 3 machines I use when programming for my CrossFit Athletes.» Watch on YouTube: https://youtu.be/prfxy8VOXFU» View All Episodes: https://zoarfitness.com/podcast/» Hire a Coach: https://www.zoarfitness.com/coach/» Shop Programs: https://www.zoarfitness.com/product-category/downloads/» Follow ZOAR Fitness on Instagram: https://www.instagram.com/zoarfitness/Support the show

In this conversation, Wayne Paprocki shares his journey from corporate training to becoming a successful realtor and investor in Chicago. He emphasizes the importance of real estate investing for realtors, advocating that they should acquire income-producing properties as part of their exit strategy. Wayne discusses overcoming common barriers to entry in real estate investing, including financing concerns, and shares innovative strategies for acquiring multi-unit properties and utilizing lease options. He highlights the benefits of networking and building relationships in the real estate industry, and offers insights into how realtors can leverage their position to become successful investors themselves. Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true ‘white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a “mini-mastermind” with Mike and his private clients on an upcoming “Retreat”, either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas “Big H Ranch”? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

We thought we knew how the pyramids were built. Then we read this paper. When a headline claims to rewrite 4,500 years of history, you have to take a closer look.A bold new archaeological theory claims that the ancient Egyptians may have used technology far more advanced than anyone thought possible—thousands of years before such machines were believed to exist. We brought in Garry Stevens, host of History in the Bible, to help us dig into the details. Is this the next big breakthrough in Egyptology??Link to articlehttps://dailygalaxy.com/2025/07/archaeologists-uncover-evidence-of-high-tech-machines-used-by-ancient-egyptians-to-build-the-pyramids-thousands-of-years-ahead-of-their-time/Link to studyhttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0306690HELP SUPPORT OUR SHOW!https://buymeacoffee.com/whatsnewinhistoryIf you like what we do you can support the Fan of History project on https://www.patreon.com/fanofhistory or https://buymeacoffee.com/whatsnewinhistoryCustom Printed Shirts in 3 days! Go to graveyardprinting.com and enter coupon code FANOFHISTORY2025 for 11% offThis is a podcast by Dan Hörning and Bernie Maopolski.Contact information:E-mail: zimwaupodcast@gmail.comhttp://facebook.com/fanofhistoryhttps://twitter.com/danhorninghttps://www.instagram.com/dan_horning/Music: “Tudor Theme” by urmymuse.Used here under a commercial Creative Commons license. Find out more at http://ccmixter.org/files/urmymuse/40020 Hosted on Acast. See acast.com/privacy for more information.

Most car dealers still think inventory age is the enemy. The truth? Risk is the real killer.In this episode of Follow The Money for The Get More Frank Podcast, I talk with Grant Goering of Cars Commerce about how dealers can stop the Day 49 panic pricing and start using risk-first inventory strategies to turn aged units into profit centers.Whether you're a used car manager, general manager, or dealer principal, you'll learn exactly how to:✅ Read the market instead of the calendar.✅ Use OBD-II scans and real condition reports to kill recon losses.✅ Turn appraisals into retail-ready inventory in minutes — not days.If you want higher gross, faster turns, and better inventory sourcing, this is your episode.

Lower Hutt parking machines are going cashless because of ongoing theft and vandalism. Lower Hutt Mayor Campbell Barry spoke to Corin Dann.

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Octopuses can open jars to get food, and chimpanzees can plan for the future. An IBM computer named Watson won on Jeopardy! and Alexa knows our favorite songs. But do animals and smart machines really have intelligence comparable to that of humans? In Bots and Beasts: What Makes Machines, Animals, and People Smart? (MIT Press, 2021), Paul Thagard looks at how computers (“bots”) and animals measure up to the minds of people, offering the first systematic comparison of intelligence across machines, animals, and humans. Thagard explains that human intelligence is more than IQ and encompasses such features as problem solving, decision making, and creativity. He uses a checklist of twenty characteristics of human intelligence to evaluate the smartest machines—including Watson, AlphaZero, virtual assistants, and self-driving cars—and the most intelligent animals—including octopuses, dogs, dolphins, bees, and chimpanzees. Neither a romantic enthusiast for nonhuman intelligence nor a skeptical killjoy, Thagard offers a clear assessment. He discusses hotly debated issues about animal intelligence concerning bacterial consciousness, fish pain, and dog jealousy. He evaluates the plausibility of achieving human-level artificial intelligence and considers ethical and policy issues. A full appreciation of human minds reveals that current bots and beasts fall far short of human capabilities. Galina Limorenko is a doctoral candidate in Neuroscience with a focus on biochemistry and molecular biology of neurodegenerative diseases at EPFL in Switzerland. To discuss and propose the book for an interview you can reach her at galina.limorenko@epfl.ch. 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

How many more times can we report on a week in tech that changed the world? But here we go again…. We just had a week in Silicon Valley where everything, supposedly, changed. At least according to Keith Teare, publisher of the tech That Was the Week weekly newsletter. But last week really really was a special week, Keith insists. It was the week when AI became an actor. When it broke all our traditional software assumptions by becoming an actor, not an app. It was the week AI entered what Keith calls its 'Stone Age' - the moment machines finally got their own tools and began using spreadsheets, databases, and documents without being explicitly told to. If Keith is right, we're about to live in a world where toys talk back to children and cars introduce themselves to their new owners. Yes, AI is in the earliest stages of learning to think for itself. It was, indeed, just another historic week in Silicon Valley.1. AI Has Crossed the Tool-Use ThresholdThis week marked AI's transition from being a tool humans use to becoming an independent actor that chooses and uses its own tools. ChatGPT can now autonomously access spreadsheets, databases, and documents - Keith compares this to humanity's leap from the Stone Age to the Tool Age.2. OpenAI's $500B Valuation Isn't Crazy - It's StrategicDespite seeming absurd, OpenAI's path from $50B to $500B valuation in 18 months follows classic tech playbook: prioritize growth over early profits ("early profit is mismanagement"), focus on 90% gross margins, and build the biggest possible "money printing machine" before optimizing for profitability.3. Software and Hardware Are Being RedefinedWe're moving toward a world where software becomes invisible - delivered through conversational interfaces rather than visual apps - and hardware becomes interactive through embedded AI. Think toys that talk back to children and cars that introduce themselves to owners.4. Creative Generalists Will Thrive, Specialists Are at RiskAI threatens specialists with rule-based skills (consultants, certain scientists) but enhances "audacious" creative generalists who can think outside the box. AI excels as a servant or co-pilot but can't yet replace original thinking or path-breaking creativity.5. We're Entering an Age of AI EmbeddednessThe future isn't about using AI apps - it's about living in a world where AI is embedded in physical objects and environments, making the entire world interactive. This represents a fundamental shift from digital interfaces to ambient intelligence.Keen On America is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit keenon.substack.com/subscribe

Steve Thomson and Doug Swinhart are back for another edition of Tech Talk! Topics include: Picking the tech that suits your study the best Testing new mice and eventually staying with old faithful Touchpad slander Recommendations for a backup cloud to cloud service Privazer is the cream de la creme of free PC cleaners Is replacing a motherboard a DIY project? Transitioning from Windows 10 to Windows 11

Octopuses can open jars to get food, and chimpanzees can plan for the future. An IBM computer named Watson won on Jeopardy! and Alexa knows our favorite songs. But do animals and smart machines really have intelligence comparable to that of humans? In Bots and Beasts: What Makes Machines, Animals, and People Smart? (MIT Press, 2021), Paul Thagard looks at how computers (“bots”) and animals measure up to the minds of people, offering the first systematic comparison of intelligence across machines, animals, and humans. Thagard explains that human intelligence is more than IQ and encompasses such features as problem solving, decision making, and creativity. He uses a checklist of twenty characteristics of human intelligence to evaluate the smartest machines—including Watson, AlphaZero, virtual assistants, and self-driving cars—and the most intelligent animals—including octopuses, dogs, dolphins, bees, and chimpanzees. Neither a romantic enthusiast for nonhuman intelligence nor a skeptical killjoy, Thagard offers a clear assessment. He discusses hotly debated issues about animal intelligence concerning bacterial consciousness, fish pain, and dog jealousy. He evaluates the plausibility of achieving human-level artificial intelligence and considers ethical and policy issues. A full appreciation of human minds reveals that current bots and beasts fall far short of human capabilities. Galina Limorenko is a doctoral candidate in Neuroscience with a focus on biochemistry and molecular biology of neurodegenerative diseases at EPFL in Switzerland. To discuss and propose the book for an interview you can reach her at galina.limorenko@epfl.ch. 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

Lionel talks about filming a scene for House of Cards with Robin Wright. While on set, he experienced excruciating, alien-like abdominal pain that led to an ambulance being called and being given morphine at the hospital, which instantly and completely alleviated his pain. Lionel then talks about economic and political theories, discussing figures like Marx and Engels in the context of communism's ideal of a "classless, stateless society" Learn more about your ad choices. Visit megaphone.fm/adchoices

Horror scholar, writer and co-host of This Ends at Prom joins Anna to look at ourselves in Charlie Brooker's Black Mirror, covering the series themes and deep-diving into some iconic episodes like "San Junipero", "The National Anthem" and "USS Callister".  New episode every Friday.Follow us on Letterboxd to see what films we're covering.Produced and presented by Anna BogutskayaResearch Assistant: Frankie Wakefield***Music: "Neon Alley" by Karl Casey @ White Bat Audio***The Final Girls are a UK-based film collective exploring horror film history through a feminine lens.→ Support us on Patreon for bonus content.→ Find out more about our projects here: thefinalgirls.co.uk→ Follow us on Twitter and Instagram.→ Read Feeding the Monster

Westhof, Ramona www.deutschlandfunk.de, Corso

Driving the biggest machines on Earth—like massive dump trucks, cranes, and bulldozers—feels a bit like being in a spaceship on wheels. These monster machines are built to handle tough jobs, like digging up giant pits or hauling tons of rock, and they can be as tall as a building! The driver's seat is way up high, giving you an impressive view over everything, but it also takes some serious skill to control all that power. The controls inside can look like a mix between a car and a cockpit, with lots of buttons, levers, and screens to monitor. Maneuvering these machines is slow and steady, and it can take a lot of concentration to make sure everything goes smoothly and safely. For people who drive them, it's a thrilling, one-of-a-kind experience! Credit: On Demand News / YouTube CERN / YouTube Science Channel / YouTube 60 Minutes / YouTube Union Pacific / YouTube Jan De Nul Group / YouTube Top Gear / YouTube Shell / YouTube WELT Documentary / YouTube Aviation Photography Digest / YouTube 235FireFly / YouTube BFBS Forces News / YouTube Business Insider / YouTube tonythomas53 / YouTube CBS Evening News / YouTube HISTORY / YouTube YantaiRaffles / YouTube Made People / YouTube New Age Media - video production / YouTube National Geographic UK / YouTube Mega Machines Channel / YouTube Animation is created by Bright Side. ---------------------------------------------------------------------------------------- Music from TheSoul Sound: https://thesoul-sound.com/ Check our Bright Side podcast on Spotify and leave a positive review! https://open.spotify.com/show/0hUkPxD... Subscribe to Bright Side: https://goo.gl/rQTJZz ---------------------------------------------------------------------------------------- Our Social Media: Facebook:   / brightside   Instagram:   / brightside.official   TikTok: https://www.tiktok.com/@brightside.of... Telegram: https://t.me/bright_side_official Stock materials (photos, footages and other): https://www.depositphotos.com https://www.shutterstock.com https://www.eastnews.ru ---------------------------------------------------------------------------------------- For more videos and articles visit: http://www.brightside.me ---------------------------------------------------------------------------------------- This video is made for entertainment purposes. We do not make any warranties about the completeness, safety and reliability. Any action you take upon the information in this video is strictly at your own risk, and we will not be liable for any damages or losses. It is the viewer's responsibility to use judgement, care and precaution if you plan to replicate. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of Quah (Q & A), Sal, Adam & Justin coach three Pump Heads via Zoom. Mind Pump Fit Tip: The final debate! Machines vs free weights. (2:54) The dumbest features in new cars. (23:19) When was the last time you got pulled over? (25:55) Optimize your C15 levels to help support your long-term health and wellness. (35:15) Justin's sunny and smoky day on the racetrack. (40:10) Nobody in America knows how to make espresso. (44:09) The gym culture evolution. (51:45) #ListenerLive question #1 – How can I most efficiently return to my optimal weight and hormonal balance without resorting to aggressive cardio or restrictive dieting? (59:39) #ListenerLive question #2 – Am I failing my reverse diet? (1:18:22) #ListenerLive question #3 – If I want to have a long, healthy life with work and personal life, how can I balance cardiovascular training and endurance? (1:27:43) Related Links/Products Mentioned Ask a question to Mind Pump, live! Email: live@mindpumpmedia.com Visit Fatty15 for an exclusive offer for Mind Pump listeners! ** You can get an additional 15% off their 90-day subscription Starter Kit with code MINDPUMP ** Visit Caldera Lab for an exclusive offer for Mind Pump listeners! **Code MINDPUMP20 for 20% off your first order of their best products. ** August Special: MAPS 15 50% off! ** Code MUSCLE50 at checkout ** Mind Pump # 1782: When Machines Are Better Than Free Weights Visit Paleovalley for an exclusive offer for Mind Pump listeners! ** Discount is now automatically applied at checkout: 15% off your first order! ** Visit Transcend for this month's exclusive Mind Pump offer! ** Telehealth Provider • Physician Directed GET YOUR PERSONALIZED TREATMENT PLAN!  Hormone Replacement Therapy, Cognitive Function, Sleep & Fatigue, Athletic Performance and MORE! ** Mind Pump #2560: How to Break Free from Destructive Body Image Issues Mind Pump #2502: Hormone Therapy for Aesthetics With Dr. Lauren Fitzgerald Reverse Dieting: The Best Way to Boost Your Metabolism Without Gaining Fat Mind Pump #1487: The Best Way for First Responders to Stay in Shape Mind Pump #2655: Ten Cardio Hacks for Fat Loss, Health & Endurance Mind Pump #1927: Performance Training Secrets from a Top NBA Trainer With Cory Schlesinger Mind Pump Podcast – YouTube Mind Pump Free Resources People Mentioned Mike Salemi (@mike.salemi) Instagram Bradley Martyn (@bradleymartyn) Instagram LAUREN FITZ, M.D. (@drlaurenfitz) Instagram Cory Schlesinger (@schlesstrength) Instagram  

Welcome to another Information Whiskey post-maintenance flight where apparently we need more whiskey. Ben's out here doing multi-engine training in a Beechcraft Duchess and discovering that single-engine work is basically "leg day" for pilots. Meanwhile, Brian's back in the air after a month-long hiatus (because life gets in the way when you're a midlife pilot) and Ted's just casually racked up 58 hours flying from Wisconsin to Oregon... by way of Indiana. Because that's totally how geography works. Ben's living his best pleasantly primitive life at flight school, complete with actual answering machines (beep!), carbon copy receipts, and instructors who write everything out by hand.Brian shares his mid-flight training technique: practicing wing-raising with rudder while just "bopping around doing kind of nothing" at 3000 feet, while Ted's been in a quasi-serious relationship with "the egg" for the last 90 days. Community celebrations include our new Hershey Bar level Patreon members Greg T, William S, Joel R, Echo Kilo, Zach R, Matthew P, and Aaron G (thank you!), plus Scott and Mountain Rat Mat crushing their long solo cross-countries. MENTIONED ON THE SHOW:• Northwest Aeronaut aka "Oregon CFI Sam", Dutch rolls: https://www.youtube.com/watch?v=BxUwSb40LD4• Spirit aircraft's SE-1: https://flyer.co.uk/spirit-launches-se-1-at-oshkosh-after-ten-years-of-secrecy/• Spirit aircraft website: https://spiriteng.com/se-1-aircraft/• My Cousin Vinny: https://en.wikipedia.org/wiki/My_Cousin_Vinny• Mike Busch, Ask the A&Ps, on post-maintenance flights: https://podcasts.apple.com/us/podcast/thats-one-way-to-flat-spot-a-tire/id1527442466?i=1000717363376• Ben's Beechcraft Duchess Multi-Engine Training• Ted's Epic Oshkosh Return Journey (with Chicago skyline detour)• Brian's Mid-Flight Rudder Training Techniques• Community Wins and New Patreon FamilyMIDLIFE PILOT PODCAST:• Website: https://midlifepilotpodcast.com• Patreon Community: https://patreon.com/midlifepilotpodcast• Watch Live on YouTube - Mondays 8PM Eastern: https://www.youtube.com/@midlifepilot• Email: midlifepilotpodcast@gmail.com• Merch Store: https://store.midlifepilotpodcast.com

Aaron Morrill has been fixing CNC machines since he was a kid—literally. In this episode, we sit down with the Spokane-based repair tech to talk shop life, leveling myths, and what really matters when your machines go down.From growing up doing service calls with his dad to running a multi-division repair business today, Aaron shares the hard truths about downtime, bad installs, questionable machines, and when not to call a tech.

In episode #198 of the Truth Not Trends Podcast, your host Liam "TAKU" Bauer dives deep into one of the most hotly debated topics in the strength training world—equipment loyalty versus results. Are you a barbell purist? A machine-only minimalist? Obsessed with bands? TAKU challenges the dogma and makes the case for being tool agnostic—choosing the right tool for the right job based on context, goals, and safety, not brand loyalty or gym culture. In this episode, you'll learn the pros and cons of barbells, machines, resistance bands, and more. TAKU breaks down how each tool can serve a purpose in a smart, safe, and effective training program—and when they can become a liability. Whether you're training at home, in a commercial gym, or coaching others, this conversation will help you rethink how and why you use the tools you do. If you're ready to ditch the dogma and train smarter, not harder—this episode is for you.

Send us a textI've been watching the explosion of cordless pool robots lately—and let me tell you, this isn't just a trend, it's a shift. In this episode, I break down what's driving the cordless craze, the pros and cons versus traditional cleaners, and which models are actually worth your money. If you're wondering whether now's the time to go cordless, this one's for you. Support the Pool Guy Podcast Show Sponsors! HASA https://bit.ly/HASAThe Bottom Feeder. Save $100 with Code: DVB100https://bit.ly/THEBOTTOMFEEDERTry Skimmer FREE for 30 days:https://getskimmer.com/poolguy Get UPA Liability Insurance $64 a month! https://forms.gle/F9YoTWNQ8WnvT4QBAPool Guy Coaching: https://bit.ly/40wFE6y Thanks for listening, and I hope you find the Podcast helpful! For other free resources to further help you:Visit my Website: https://www.swimmingpoollearning.comWatch on YouTube: https://www.youtube.com/@SPLPodcast Site: https://the-pool-guy-podcast-show.onpodium.com/ UPA General Liability Insurance Application: https://forms.gle/F9YoTWNQ8WnvT4QBA Pool Guy Coaching Group Join an exclusive network of Pool Service Technicians to access the industry's leading commercial general liability insurance program. Protect your business. Premium is $64 per month per member (additional $40 for employees and ICs) $59 per month for Pool Guy coaching Members - join here! https://www.patreon.com/poolguycoaching Limits are $1,000,000 in occurrence and $2,000,000 in the aggregate - Per member limits [ $1,000,000 per occurrence and $4,000,000 aggregate available for $75 per month ] $50,000 in HazMat Coverage - clean up on-site or over-the-road Acid Wash Coverage - Full Limits

⸻ Podcast: Redefining Society and Technologyhttps://redefiningsocietyandtechnologypodcast.com Title: Creative Storytelling in the Age of AI: When Machines Learn to Dream and the Last Stand of Human CreativityGuest: Maury RogowCEO, Rip Media Group | I grow businesses with Ai + video storytelling. Honored to have 70k+ professionals & 800+ brands grow by 2.5Billion Published: Inc, Entrepreneur, ForbesOn LinkedIn: https://www.linkedin.com/in/mauryrogow/Host: Marco CiappelliCo-Founder & CMO @ITSPmagazine | Master Degree in Political Science - Sociology of Communication l Branding & Marketing Consultant | Journalist | Writer | Podcasts: Technology, Cybersecurity, Society, and Storytelling.WebSite: https://marcociappelli.comOn LinkedIn: https://www.linkedin.com/in/marco-ciappelli/_____________________________This Episode's SponsorsBlackCloak provides concierge cybersecurity protection to corporate executives and high-net-worth individuals to protect against hacking, reputational loss, financial loss, and the impacts of a corporate data breach.BlackCloak:  https://itspm.ag/itspbcweb_____________________________⸻ Podcast Summary ⸻ I sat across - metaversically speaking - from Maury Rogow, a man who's lived three lives—tech executive, Hollywood producer, storytelling evangelist—and watched him grapple with the same question haunting creators everywhere: Are we teaching our replacements to dream? In our latest conversation on Redefining Society and Technology, we explored whether AI is the ultimate creative collaborator or the final chapter in human artistic expression.⸻ Article ⸻ I sat across from Maury Rogow—a tech exec, Hollywood producer, and storytelling strategist—and watched him wrestle with a question more and more of us are asking: Are we teaching our replacements to dream?Our latest conversation on Redefining Society and Technology dives straight into that uneasy space where AI meets human creativity. Is generative AI the ultimate collaborator… or the beginning of the end for authentic artistic expression?I've had my own late-night battles with AI writing tools, struggling to coax a rhythm out of ChatGPT that didn't feel like recycled marketing copy. Eventually, I slammed my laptop shut and thought: “Screw this—I'll write it myself.” But even in that frustration, something creative happened. That tension? It's real. It's generative. And it's something Maury deeply understands.“Companies don't know how to differentiate themselves,” he told me. “So they compete on cost or get drowned out by bigger brands. That's when they fail.”Now that AI is democratizing storytelling tools, the danger isn't that no one can create—it's that everyone's content sounds the same. Maury gets AI-generated brand pitches daily that all echo the same structure, voice, and tropes—“digital ventriloquism,” as I called it.He laughed when I told him about my AI struggles. “It's like the writer that's tired,” he said. “I just start a new session and tell it to take a nap.” But beneath the humor is a real fear: What happens when the tools meant to support us start replacing us?Maury described a recent project where they recreated a disaster scene—flames, smoke, chaos—using AI compositing. No massive crew, no fire trucks, no danger. And no one watching knew the difference. Or cared.We're not just talking about job displacement. We're talking about the potential erasure of the creative process itself—that messy, human, beautiful thing machines can mimic but never truly live.And yet… there's hope. Creativity has always been about connecting the dots only you can see. When Maury spoke about watching Becoming Led Zeppelin and reliving the memories, the people, the context behind the music—that's the spark AI can't replicate. That's the emotional archaeology of being human.The machines are learning to dream.But maybe—just maybe—we're the ones who still know what dreams are worth having.Cheers,Marco⸻ Keywords ⸻ artificial intelligence creativity, AI content creation, human vs AI storytelling, generative AI impact, creative industry disruption, AI writing tools, future of creativity, technology and society, AI ethics philosophy, human creativity preservation, storytelling in AI age, creative professionals AI, digital transformation creativity, AI collaboration tools, machine learning creativity, content creation revolution, artistic expression AI, creative industry jobs, AI generated content, human-AI creative partnership__________________ Enjoy. Reflect. Share with your fellow humans.And if you haven't already, subscribe to Musing On Society & Technology on LinkedIn — new transmissions are always incoming.https://www.linkedin.com/newsletters/musing-on-society-technology-7079849705156870144You're listening to this through the Redefining Society & Technology podcast, so while you're here, make sure to follow the show — and join me as I continue exploring life in this Hybrid Analog Digital Society.End of transmission.____________________________Listen to more Redefining Society & Technology stories and subscribe to the podcast:

Victoria Walker researches twentieth-century British women's prose fiction, especially experimental writing. She has published widely on Anna Kavan and edited a special issue of Women: A Cultural Review – ‘Anna Kavan: New Readings' (Winter 2017-18), a collection of Kavan's short writing, Machines in the Head (2019), and Anna Kavan: Mid-Century Experimental Fiction (2023)Book link: https://edinburghuniversitypress.com/book-anna-kavan.htmlAnna Kavan society: https://annakavan.org.uk/---Become part of the Hermitix community:Hermitix Twitter - ⁠⁠ / hermitixpodcast⁠⁠ Hermitix Discord - ⁠⁠ / discord Support Hermitix:Hermitix Subscription - ⁠⁠https://hermitix.net/subscribe/⁠⁠ Patreon - ⁠⁠ www.patreon.com/hermitix⁠⁠ Donations: - ⁠⁠https://www.paypal.me/hermitixpod⁠⁠Hermitix Merchandise - ⁠⁠http://teespring.com/stores/hermitix-2⁠⁠Bitcoin Donation Address: 3LAGEKBXEuE2pgc4oubExGTWtrKPuXDDLKEthereum Donation Address: 0xfd2bbe86d6070004b9Cbf682aB2F25170046A996

Today on the podcast we welcome back Cliff Asness. Cliff is the founder, managing principal, and chief investment officer at AQR Capital Management. Cliff writes often about investing and financial matters on AQR's website and has been a prolific researcher throughout his career, with his contributions appearing in many of the leading scholarly journals, including the Journal of Portfolio Management, Financial Analyst's Journal, the Journal of Finance, and the Journal of Financial Economics. Before co-founding AQR, Cliff was a managing director and director of quantitative research for the asset management division of Goldman Sachs. Cliff Asness, welcome back to The Long View.BackgroundBio@CliffordAsness“Cliff Asness: Value Stocks Still Look Like a Bargain,” The Long View podcast, Morningstar.com, May 31, 2022.Macro Forecast, Market-Timing, and Equities“2035: An Allocator Looks Back Over the Last 10 Years,” by Cliff Asness, aqr.com, Jan. 2, 2025.“(So) What If You Miss the Market's N Best Days?” by Cliff Asness, aqr.com, June 5, 2025.“Why Not 100% Equities,” by Cliff Asness, aqr.com, Feb. 12, 2024.“Exceptional Expectations: US vs. Non-US Equities,” by Antti Ilmanen and Thomas Maloney, aqr.com, Q2 2025.Alternative Assets and Artificial Intelligence“In Praise of High-Volatility Alternatives,” by Cliff Asness, aqr.com, Sept. 4. 2024.“Should Hedge Funds Hedge?: Why Some Alts Should Have a Beta of 1.0,” by Cliff Asness, aqr.com, March 28, 2025.“We Have ‘Surrendered More to the Machines,' Says Quant Fund Titan Cliff Asness,” by Costas Mourselas and Amelia Pollard, ft.com, June 3, 2025.“CIO Perspectives: An Interview With Cliff Asness,” aqr.com, Sept. 1, 2024.OtherWisdomTree“AQR Launches the AQR Fusion Mutual Fund Series,” AQR Funds News, aqr.com, June 25, 2025.Asian Financial Crisis