Podcasts about ChatGPT

Why vacations? AOC breakup. “Hot” divorcees. Bangladeshi in Hong Kong. Jealous Costco employee. ChatGPT murder? MA: Prioritizing Patient Access to Care Act

Build your AI knowledge base (template + kit): https://clickhubspot.com/fhfs Ep. 444 Stop outsourcing your intelligence to AI assistants—build your own personal intelligence layer instead! Kieran dives into how to construct your own marketing intelligence layer that you can plug into any AI assistant for a serious competitive edge. Learn how to capture and structure career learnings, keep your intelligence portable and up-to-date, and turn your unique insights into the biggest differentiator in the age of AI. Mentions Loop: Outlearn. Outmarket. Outgrow https://www.hubspot.com/loop-marketing-book ChatGPT https://chatgpt.com/ Claude https://claude.ai/ Gemini https://gemini.google.com/ Obsidian https://obsidian.md/ Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/@matgpod Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@marketingatg  Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

AI is changing hiring in ways that go far beyond candidates using ChatGPT to answer interview questions. The harder problem is knowing whether the person on screen is actually who they claim to be, whether their answers are their own, and what happens if someone with malicious intent gets access to company systems.Yagub Rahimov, CEO and founder of Polygraf AI, joins The Tech Trek to discuss the growing trust problem surrounding AI assisted interviews, deepfakes, impersonation, and security. He explains why organizations need more visibility into the hiring process without turning every unusual behavior, accent, or response into a reason for suspicion.What You'll Take Away• AI interview fraud is not simply a recruiting problem. Once someone enters the company, identity and access become security concerns.• Detecting suspicious candidates based on human intuition alone can create false positives. Rahimov argues for using technology to create evidence and visibility.• Small pieces of public information can reveal far more about a company than leaders realize when they are combined through what Rahimov calls mosaic intelligence.• Protecting company information means thinking beyond traditional security controls to what employees, executives, and systems expose publicly.Key Moments02:27 How AI tools can turn legitimate technology into an interview cheating mechanism05:35 Why hiring fraud can become a security and data access problem07:43 Using voice, conversation context, and AI detection to improve visibility during interviews11:43 Why increased AI uncertainty should not lead companies to distrust everyone14:28 What organizations should think about after a candidate actually gets hired19:40 The continuing race between increasingly capable deepfakes and detection technologyOne Line That Stuck“Tech problems have tech solutions.”Follow The Tech Trek for more conversations about AI, engineering, data, product, and how technical teams are adapting.

For years, reviews played a fairly predictable role in growing a tax or accounting firm.A prospect found your firm. Visited your website. Checked your reviews. And then decided whether to call.AI is beginning to rewrite that sequence.Today, prospects can ask ChatGPT, Gemini, Perplexity, or another AI assistant a much more valuable question:“Which accounting firm should I hire—and why?”That means discovery and due diligence are starting to happen inside the same conversation.Your reviews are no longer just something prospects read after they discover your firm. They are becoming part of the digital evidence that can help search engines, AI systems, and prospective clients understand who you serve, what you are good at, how clients experience working with you, and whether your firm deserves to be recommended.In this episode of The Growth Minded Accountant, Lee Reams II and Rebekah Barton explore the new ROI of reviews—and why reputation is becoming an increasingly important part of your search strategy.They explain why ten detailed, authentic client stories may communicate far more about a firm than ten generic five-star reviews; why review generation should become an ongoing “reputation heartbeat” instead of an occasional campaign; and why firms may need to rethink traditional marketing measurements built around clicks, traffic, and rankings.The bigger shift is simple:Stop optimizing only to get the click. Start building a firm that is easy to understand, easy to trust, and easy to recommend.Because your clients may already know how good your firm is.The market—and increasingly AI—only knows the evidence it can see.See How Recommendable Your Firm IsIf your ideal client asked AI today to recommend the perfect accounting firm for them, would your firm make the shortlist?Find out.Get your free Recommendability Report:https://recommendability.countingworks.appSee where your firm is strong, where your digital evidence may be creating gaps, and what you can improve to become easier for humans—and AI—to understand, trust, and recommend.

Startup Project sits down with Sviat, CEO of Bright Machines, to unpack how the company is using software-first robotics to manufacture complex electronics closer to where they're deployed. The conversation focuses on why AI infrastructure is a strategic category, how Bright Machines differs from traditional contract manufacturing, and what onshoring really means for speed, quality, and security.Key Topics:In this episode, Sviat explains that Bright Machines is focused on AI infrastructure, specifically the electronics that go inside modern data centers, including compute nodes, storage, and racks.He traces the company's thesis back to a broader idea: use software and robotics to manufacture electronics anywhere, then narrow that focus to the data center market as demand became clearer.The discussion breaks down the market stack, from chip designers like NVIDIA and AMD, to ODMs, OEMs, hyperscalers, and contract manufacturers.Sviat shares why data center hardware became the right bet before ChatGPT accelerated the market: the products are expensive, strategically important, and driven by quality and throughput more than labor cost alone.The show compares traditional assembly lines with Bright Machines' approach, which uses more robotics, sensors, cameras, traceability, and humans in the loop where automation does not make sense.Sviat explains how Bright Machines starts with design, using Bright Designer to simulate and improve manufacturability before lines are built, which helps reduce bottlenecks and improve automation over time.He says the company's main differentiator is its software platform, which orchestrates the line, powers smart skills for navigation and inspection, collects data, and feeds insights back into design.The conversation covers line flexibility, including how much can be reused when switching between CPU, GPU, or different accelerator-based server designs, and when end-of-arm tooling must change.Sviat says Bright Machines is growing rapidly, expects more than 3x growth this year, and can produce high volumes from a small number of sites because of robotics efficiency.The episode closes on the broader case for onshoring AI infrastructure manufacturing in the US: security, time to market, quality, and a labor shortage that makes robotics necessary.Timestamps:06:39 - The market stack: chip designers, ODMs, OEMs, hyperscalers, and CMs09:07 - Why Foxconn, Jabil, and similar contract manufacturers matter10:04 - Why large factories still rely on massive manual labor12:20 - Why data centers are different from cheap consumer electronics13:49 - Security, strategic sectors, and why AI infrastructure belongs onshore16:26 - The first Bright Machines product: CPU compute servers for a hyperscaler17:58 - How the line works: modular stations, yields, and automation levels19:26 - Bright Designer and design-for-manufacturing feedback loops21:20 - Robots, sensors, traceability, and humans in the loop22:19 - Why time to market matters as much as cost23:31 - Yield and throughput: 98% line-level yields and up to 2x throughput25:25 - The Bright Robotic Cell and how the assembly line is structured27:35 - Reusability across products and when tooling changes are needed30:31 - Manufacturing as a service, not repair or field service31:24 - Growth, gigawatt-scale capacity, and output from a single site33:00 - Why current hyperscaler capex is not expected to slow near term34:45 - The bottlenecks before deployment: chips, components, power, permits36:54 - Bright Machines' three pillars: platform, data layer, and Bright Designer39:15 - Why humanoid robotics is exciting but not ready for industrial use41:16 - Where LLMs and newer AI tools can help the robotics workflow43:57 - The overlooked advantages of onshoring manufacturing in the US45:59 - What Bright Machines could build next: more complex electronics and future AI devices

Send us Fan MailMeta and NVIDIA are turning up the heat in the open-weight AI race, while Anthropic is taking a very different approach by watermarking Claude-generated content. Amith Nagarajan and Mallory Mejias unpack what these moves mean for associations, from choosing models and inference providers to avoiding lock-in at the agent harness layer. They also explore why AI models are becoming increasingly commoditized, where proprietary models may still have an edge, and why Claude's new watermarking strategy probably isn't a foolproof solution for detecting AI-generated work. Plus, Amith shares lessons from Blue Cypress's latest AI hackathon, including how associations can use focused offsites to accelerate adoption and generate new ideas, and the hosts discuss a more productive approach to AI-generated submissions: using AI to evaluate quality, relevance, and originality rather than trying to ban it outright. 

How can you tell where the real innovation in publishing is happening right now, and why is it emerging from the indie side first? How do you market your own book when you've spent 35 years marketing everyone else's? John Bond talks about Going Indie and what he's learned about authors who last. In the intro, my thoughts on writing with AI, Charles Dickens and encouragement for the 3-year-old dancing to K-Pop at the wedding, UK copyright law, The end of an era — Hugh Howey; Notre Dame, Paris; Today's show is sponsored by Bookfunnel, the essential tool for your author business. Whether it's delivering your reader magnet, sending out advanced copies of your book, handing out ebooks at a conference, or fulfilling your digital sales to readers, BookFunnel does it all. Check it out at bookfunnel.com/thecreativepenn This show is also supported by my Patrons. Join my Community at Patreon.com/thecreativepenn John Bond is the co-founder of Whitefox, a premium publishing services agency, and has over 35 years in traditional publishing, from bookselling to marketing and management. He's also the co-author of Going Indie: Publishing Your Book Your Way, with James Silver. You can listen above or on your favorite podcast app or read the notes and links below. Here are the highlights and the full transcript is below. Show Notes Why 2012 was a watershed moment for publishing in the UK Whether the snobbery around self-publishing has finally gone How to co-write a book with someone, and why there's no formula The pride swallowing involved in getting endorsement quotes for your own book The shadow economy of indie sales that no industry chart measures The hallmarks of writers who build a long-term career You can find John at wearewhitefox.com. Transcript of the interview with John Bond Jo: John Bond is the co-founder of Whitefox, a premium publishing services agency, and has over 35 years in traditional publishing, from bookselling to marketing and management. He's also the co-author of Going Indie: Publishing Your Book Your Way, with James Silver. So welcome back to the show, John. John: Thank you, Jo. Thanks so much for having me. Jo: You were last on the show in 2022. You've been on a couple of times, but just set the scene. Tell people a bit more about you and your long background in publishing. John: I suppose I could say I started as a marketing manager at Penguin back in the early 1990s in London, and that role eventually evolved into running sales and marketing, as it often does. I did that at Penguin and at HarperCollins. Then I ran one of the publishing divisions at HarperCollins, including 4th Estate, and published Hilary Mantel and Jonathan Franzen and Chimamanda Ngozi Adichie and others. I left that in 2011 and set up Whitefox in 2012, and it's a classic startup story. It was somebody I worked with at HarperCollins. We sat around a kitchen table, came up with an idea for a business, which was Whitefox, and that's grown into the creative agency that it is today. Jo: So back then, did you think, “I can do this better”? Was that the impetus, “I can do publishing better than Penguin and HarperCollins”? John: No, I thought we would solve a problem. There's something very attractive about that whole startup mentality and beginning something from scratch. I mean, I was in my early 50s. I'd had a long career in traditional publishing. On the plus side, I knew a lot of people, and I thought I could get meetings, people would reply to my phone calls or my emails. On the downside, I didn't necessarily have the energy of a 20 to 25-year-old. I knew a lot of people and I knew quite a lot of things, and I also knew what problems something like Whitefox could solve. We set up with this idea that if we could galvanise and organise the diaspora of freelancers in the publishing space and make them available to anybody that wanted to make a book, that that would be quite a powerful thing. These incredibly creative, wonderful people who were below the radar and were not particularly valued or managed or utilised properly. I thought if we could access that and make that available not just to traditional publishing people who know about these people, but to individual authors, businesses, brands, people that wanted to make a book, and if you added a layer of our expertise from traditional publishing, that could be quite powerful, I suppose. That's what I was thinking back then. Jo: It's funny, though. You said these wonderful freelancers who were not particularly valued or managed or utilised properly. That could also apply to a lot of authors in traditional publishing. John: Totally. Totally. But if I'm honest, I don't think I was thinking about that. What's really evolved since we started, even in that 2011, 2012 period, is so much has happened to independent writers, indie authors. The whole ecosystem has become much more vibrant, and what is accessible to those writers is much greater. I'd like to think we've played a part in that. What that's done is put power back into writers' hands, and that quickly became apparent in the business as a byproduct of what we'd set up. Jo: Yes, and 2012 I do think in the UK was a pivot point, because I got into self-publishing in 2006/2007 when the Americans did with the beginning of the Kindle and the iPhone. Really the American ecosystem grew first. I happened to be in Australia, and so I think I was able to escape the negativity of the vortex in the UK, which took a number more years to embrace self-publishing as a force to be reckoned with as opposed to an embarrassing thing in the corner for vanity press. Do you see 2012 as a changing point in UK publishing? John: I think we'd just come out of the Kindle moment, hadn't we? There were all sorts of conversations going on about how that was going to change things forever. I think no one quite knew what the upshot of that was going to be, but we knew that it was incredibly disruptive. In 2012, Penguin, as it was then, before Penguin Random House, had offered to buy Author Solutions for $115 million, presumably seen as some kind of defensive measure as to what the market was going to evolve into. I think it felt like a real period of change. In the UK, James Daunt took over running Waterstones, and he was then ultimately going to run Barnes & Noble. It felt like a bit of a watershed. I think we were lucky in that sense, that maybe in the UK and in London, what we were creating coincided with an opening up of opportunity and creativity, and people wanting access to more tools to be able to do things themselves. Getting this idea that you invest in your own talent and what that could mean for your ability to do things quicker, better. Some of it was happenstance, but lucky for us. As you say, we then became aware that in a sense a lot of these things had come to fruition earlier on the US side. In London, that whole idea of setting up something that wasn't a traditional rights-owning model, but where you wanted to be working with people creatively, felt actually really exciting and timely. Jo: And when you started to work with independent authors, probably a couple of years after that, you started to work with a lot more indie authors and things really started to change in terms of the business side. Did you feel any of the snobbery from the traditional industry? Like you mentioned, you have a lot of contacts, a lot of connections. I came to your wonderful launch party and there were just people from all over the industry. I wondered if you got any kickback, or if anyone raised their eyebrows a little bit at who you were choosing to work with? John: Oh, definitely. And I would say I really think that's gone. You may think differently, Jo, but from my perspective, I think there has been such an evolution in the nearly 15 years that we've been going. So any of that residual snobbery, looking down your nose at people that were going DIY, producing multiple books, learning from every single publication. We've spoken about this before. I remember you sat on the panel of a FutureBook conference in the UK, which was run by a trade magazine, with this idea of looking at the, in quotes, “digital future of the business.” It felt like there were a lot of things being talked about, but not a lot of action on the traditional side. I suppose some sort of awe that there was some magic going on with people who were making a success of self-publishing. But then quite a lot of people looking down their noses at things that shouldn't get through the gatekeepers. I do think that's gone. Or if it's not completely gone, I can see it on the way out of the door, because there's no room for that when agents are struggling to sell books to publishers because publishers are looking at the next indie author, the next Freida McFadden, the next Sarah J. Maas, the next Rebecca Yarros. So whoever it may be, or wherever they're publishing, whatever they're doing now, wherever they may be, knowing that a lot of those people will already be publishing and be on not their first, second, third or fourth, but potentially their 10th or 11th book. It's a race to see who can help those authors, as a traditional publisher would see it, amplify what they're doing. I think the idea that there's an us and them, if it did exist then, which it certainly did in certain publishing quarters, is gone. I used to go to those conferences, like the FutureBook Conference, and certain publishers would talk about publishing, and when they meant publishing, they meant a really tiny area of quite literary, traditional imprints. That's what publishing meant. They didn't even mean publishing to mean educational publishing, or children's publishing, or academic publishing, and certainly not Kindle or POD or whatever. So I think that's had to change for very good, sound, commercial, economic reasons. Jo: Yes, you're right. I definitely have heard, as we go to similar events sometimes, and you do hear agents used to talk a lot more about finding books very occasionally in a slush pile, or doing courses so you could meet people and do pitch events and all this. Now it's often build an audience on BookTok or whatever, and sell lots of books, and traditional publishing as an amplifier, as you said. That's how I always hear them pitch it now, the question of— What can traditional publishing still do when indie authors can do so much? It does seem to be, well, we can amplify you, we can get you into traditional press, we can get you in traditional bookstores, we can help you with film and movie deals, that kind of thing. So that's really interesting, because that's actually changed quite a lot. They don't now seem to say, “Oh, well, we can make sure we pay you,” or, “We are editorial success as such.” John: I think they don't say editorial success or quality or indeed marketing, because that was what used to be said. I think there's an understanding that a lot of indie writers are better marketeers of their own books than traditional publishers, and if you go into the publishing machine, then you'll get your slot. It lasts for a certain period of time and then that moves on to another book. Whereas obviously if you're writing your own book and you're marketing your own book, you're able to do that yourself 24/7 wherever you are in the world, and you will know more about your readers and your audience and how that evolves than a traditional publisher would. What they probably mean now is, as you said, as much as anything, distribution, or even physical distribution. Because to be part of that process, I think that is still where a large conglomerate is able to wield some muscle, with this idea that if you physically want to see your book in bricks and mortar retailers in X outlets around the world, that's potentially easier to do if that is your aim, via a traditional publisher. So it is constantly evolving, because it used to be that marketing was the silver bullet, and I don't think that's the case anymore. Jo: No. We'll come back to marketing, shall we? Struggling with marketing. So let's get into your book. You recently co-wrote Going Indie with James Silver, Publishing Your Book Your Way. Obviously you already knew a lot about indie authors, so I wonder, what did you discover in the process of researching the book and the interviews you did? And I was one of your interviews. Did anything come up that surprised you, since you're already pretty embedded in the world? John: I would say some of it was reinforcing what I knew. So how everything is so intertwined, how in some ways unlinear everything is. People are doing lots of things in a different order to the way that traditionally writers would perceive this relay race of a manuscript gets passed to an editor, an editor passes on. That's just not how it is or needs to be anymore. I still think there is—not even a misconception—but I think there's a received wisdom that when you're talking about self-publishing, you're talking about fiction. The majority of books that Whitefox produces are not fiction, they're non-fiction. Some of them are quite mainstream, some of them are quite niche. That idea of connecting to your audience and your followers, and being slightly more scientific about how you find readers in your non-fiction niche, I think is still unspoken about in a way, in that genre fiction tends to be what people automatically assume the conversation is about. This probably doesn't surprise you, but I was pleasantly surprised to have it confirmed to me quite how much swapping and sharing there is of skills and knowledge in that space. I'm not saying indie writing is egoless at all, but there's quite a lot of sharing of knowledge and what works, and collaboration, which I think is great to see. Again, if you've, as I did many years ago, come out of corporate conglomerate publishing, traditional publishing, there's less of that by the very nature of the kind of organisation. And look, we just talked about marketing a little while ago. I do think this whole idea that the cutting edge of experimentation, it's not traditional publishing, it's indie writers. They are looking at not just how to find readers, but how to fulfil orders, how to make commercial sense of what they're doing from the absolute outset and get-go of what they're doing. And just how now the lines are blurring between what would be classified as traditional digital publishers and the writers who are doing their own thing, or doing their own thing on behalf of a few other writers. Those lines have completely blurred. There used to be this traditional hardback, paperback, X number of books a year, a year after hardback there's a paperback. This is the model we have been doing for centuries, and people doing things on their own. I think that's blurring massively, and the Venn diagrams of people's areas of expertise are just overlapping massively. Jo: Well, I think you're right there, and certainly the hardback special editions with sprayed edges and foil. A lot of us now are doing that first and not putting out the other, or putting out the rest of it at the same time. I dare say probably there are more indie authors with sprayed edge hardbacks than there are traditionally published authors. John: I'm sure that's right. And what's interesting is if you go to a traditional book printer, they are loving the direct communication with writers, that's not coming through traditional channels and traditional relationships. It's great business, it's interesting. I think that's something that's even developed in the last couple of years, that cutting out of some of the middle men required. Jo: Yes, and in terms of supporting freelancers and small publishing houses and printers and stuff, the other thing I've heard is that indie authors pay upfront, or they pay quickly, compared to some of these big publishers who are asking for long lead times and steep discounting. So actually a lot of these independent businesses are doing better under indie author work than they were under traditional. John: I think that's right, and that's what I mean also about the sharing of information and this collaborative idea of sharing creative knowledge. I mean, I'm making it sound like a kind of 19th century cooperative, which it isn't. I'm not suggesting that for a second. It's this idea that there's a lot of people learning a lot of things and there's a keenness to share some of that information, because if you've developed your own readership for your unique creative product, some of those learnings are very exciting. The printers I've spoken to love working on those kinds of things, because they are also being challenged to come up with new ways of developing ever more innovative physical product. Jo: Yes, I think it's a fun, creative time for sure. Things like Kickstarter, which you came on and talked about crowdfunding years ago, and I've obviously done. I think, what am I on now? Seven? I've just done my seventh. John: Wow. Jo: It's so much fun. But now what's happening is traditional publishers are arriving on Kickstarter and all that kind of thing. So we really see a blurring. Let's come back to your book, so Going Indie. You co-wrote it. Now obviously there are lots of positive sides of collaboration, but in terms of any challenges with collaboration and co-writing and the writing process of doing this? Because I've done this several times and I've found it very challenging. So tell us about the collaborative writing process. John: We thought a lot about it before we took it on. What I would say, having done it, is I am assuming there is no formula for how you do this. At Penguin I worked with a married couple who were crime writers, and they wrote books together. They merged their names so it appeared to be one name. I could not tell you, and they didn't share what that process was, whether they were writing different chapters or … I don't know. So I can only speak from my own experience. James is an established journalist. He's great with deadlines. He was very good at chivvying me along when I needed to be persuaded to hit the deadlines that I'd promised. I write blogs, I write newsletters, I write content for our website, but this is my first book. I've never written anything of this length. So in a way it started with the structure. It started with this idea that we would play to what we perceived as our respective strengths in terms of writing. We absolutely were not each writing every third word or anything like that. It was a process of trust in different parts. I thought, James had done some research and will be better at writing that. He deferred to me on areas that he took to be my areas of expertise. We did every interview for the book together. We went over the notes from those before they became part of the interviews for the book. And some of the book's elements are diagrammatic, so those are very easy to collaborate on. I think we tried to be professionally, creatively constructive with each other. So it was raising an eyebrow rather than shouting at each other if we didn't agree about something. A lot of it was down to the editing, and I don't know what your experience was like with a co-writer, but a lot of it came down to: here is something which is quite baggy. How do we, between us, make this as tight as we possibly can? I don't mean copy editing or proofreading. I mean the actual sort of, how do we get this into a pithy, usable, practical but discursive book? We didn't ever set out for this to be a pure reference book at all. We wanted to take a snapshot of what was going on. So a lot of it was genuinely trying to do some research and get people to feed into what was going on from lots of different perspectives, which is why we wanted to get mainstream traditional publishers, we wanted to get agents, we wanted to get indie writers, we wanted to get people who have all sorts of experiences and perspectives. That's what makes it what it is, which is, here's what we think are some of the interesting discussion points of what's going on now. Jo: It is a fantastic snapshot. I think it's really interesting—and obviously you also have seen my book, Successful Self-Publishing, which is on its fourth edition—this is one of the difficult things with snapshot type books. So have you already thought about that? I know this one has just come out, but have you thought, “Oh no, in five years we have to do it again”? John: Well, I think we thought we're going to have to address AI, which we do in the book, and we really tried to caveat that with saying, look, so much may change so quickly, and here we are talking about what we know now. We obviously tried to set the context for where we are now, and we tried as much as possible to make something which would last as long as we can. I think what we did think was, we have tried to make it as international a perspective as possible. But at the same time, we are a London-based agency, and a lot of the views will be from people based in the UK. So I think what I would like to explore is something that looks at potentially somewhere like the US, where I think there'll be different people that would perhaps have different perspectives on different things. So I think we thought about potentially there being future iterations of the book, but not yet. Jo: Not yet. This is the challenge with non-fiction, of course. On that, I would say what you just said around the US and stuff, the successful UK authors all use the same systems as the US. So I wouldn't say that the US … I mean, we all have the US companies we all use. I say Kobo is obviously Canadian, but I would say that we use the same ways of doing things. Obviously you might interview a different author, but … John: That was all I meant. I meant interviewing. Because we've interviewed agents and authors and publishers and they are largely UK based. So it was the idea that maybe there are some perspectives on things rather than systemic. Jo: Differences. John: Yes. Just that. Jo: So then I guess another challenge, we've kind of nodded to it so far, is marketing. So let's talk about the challenges of getting this book out in terms of publishing and marketing. Because you've been on the inner circle side, trying to do that for other people's books, but your own book, this is a whole nother thing. So tell us about that. John: Well, how do you do it, Jo? I mean, honestly, I've loved some of it. I get how you become completely obsessed with your book and trying to make sure that you can get it into the hands of the people that you want to get it into the hands of. We've got some great endorsement quotes, which was a task that, how can I say this? I would call it pride swallowing. The idea that you really try and get people to say nice things about your book and, if they don't reply, you think, “How much do I pester them? How much do I annoy them by asking them again nicely?” And the absolute sheer unadulterated joy when they come back with something positive that you can use and utilise in some way. So that whole process of waiting for feedback, I suppose, and hoping that people are going to like what you've done and help you spread the word for it. We had a launch event, we've given books away. We've published the book as ebook and POD. I think one of the great things about that is it's enabled us to be completely adaptable and make changes right up until the last minute. That drove everybody in my team completely crazy because we were making changes up until the last minute. So, is the book definitely going to be available on publication date? What's it going to do? You know, all of that kind of stuff. Also, just getting this idea that I suppose you can never stop. Is that a very obvious thing to say to a writer? It probably is. You just can't stop, because if you go, “Right, well, I've done it,” complacency is the enemy. Just as soon as you've got that quote, or someone said that they're going to give you an opportunity to talk about it on a platform, it's just another day and you've got to keep thinking about how you can spread the word and tell people that it exists. Jo: Yes, well, I think that's right, and particularly non-fiction, which unless it's very timely and you must get it out right now. But other than that— Most books you just have to keep marketing for years. Then just as you say, when do you stop? Well, you kind of never stop unless you want to, unless you want to retire and just give up, basically. Dean Wesley Smith, who's a big writer in the US and a kind of a mentor of mine in past years, he talks about it as this massive sea of books. And when a book arrives, he pictures it coming down and landing on the water. So the day you launch, it's landed on the water, and then it begins to sink. Then there are all these other books coming down. It's like this rain of books, and your book is sinking as soon as it lands. And your job is to keep it afloat somehow. John: Keep it afloat. Jo: Yes. John: I think you're right, and it's such an interesting perspective for us, who work with a lot of people who have one book. You know, they've spent 10 years writing it. It's their life story. It's their memoir. It's their self-help book. It's their book that accompanies them on their speaking journey, or whatever. Then there are the people who are writing constantly and can't stop writing because they're exercising that creative muscle all the time and wanting to get better, and wanting to improve and learn and understand why this works and why that hasn't worked. Just getting a glimpse into what it must be like for that person for whom writing is not a hobby. I kept saying to myself, “This is not something you're doing as a hobby.” I want this book to be of value to people, and if I'm investing that time and effort into something that I want to get out there, you've got to commit to whatever it is you need to do to make sure you're not sinking. Jo: Yes. John: I will now not be able to get that image out of my head. Jo: Yes. I know there's people listening who don't have a mind's eye, which I always find fascinating, but for those of us with a mind's eye, you can now picture that and you will never forget it. The other thing, I guess, is that, having done a lot, over 40 books now, the inevitable thing is you cannot keep pushing all of those books back up to the surface. So when you do get the bug as such of writing, the most interesting thing for all of us is always the next book. It's always like, ooh, the next thing I'm doing, I'm very excited about. So you do have to pick your battles on marketing. So have you got the bug, do you think? Are you thinking of other books in general? Because as you said, you must be, I guess, in your 60s. John: I am. Jo: You could retire. John: I am. You were talking about that long career. I could. I mean, I really love doing it, and I would love to do more. I think one of the things that surprised me was just how many ideas came up while we were doing the book about tangents that one could take it. I have no desire to write a novel. I don't want to do that. I wouldn't be very good at that. I do think there are some interesting spaces around where there's a kind of intersection of creativity and learning, and how you can develop books that would help people who are trying to achieve different things in different sectors of publishing. So without getting too granular about it, this book doesn't really address brands who want to become publishers, and I think that is something that our business has developed into working with, not just individuals, but businesses and brands. I think there's definitely spin-offs of this book which are not about repeating what we've done so far. And this whole idea of what you've been doing for a long time, what we've been doing since 2011, 2012, it's evolving now at such a speed. I mean, who would have known what was going to come out of TikTok? As you talk about TikTok to Shopify, that whole kind of new ways of finding readers, of taking books to market. As you said, Kickstarter, crowdfunding. There's all sorts of things that I think will emerge, because in a funny sort of way traditional publishing at the moment feels quite conservative with a small c. I mean, the bestsellers. Dan Brown is number one in the bestseller list this week in the UK as I speak, who has been a bestseller forever. And obviously new writers come along the whole time, but the market feels a little bit as if it's waiting now for innovation. I think if that innovation's going to happen, it's probably going to happen in the indie space before it happens in mainstream publishing. So people are coming to us and thinking, does that represent a trend? Does that represent something which could be a way of looking at something a little bit deeper, doing some research around and creating something which is not a long book, not a massive thesis, but something which is indicative of something which could be useful for people. Jo: Just coming back on the Dan Brown is in the bestseller list. I think this is completely to do with the way that traditional publishing measures things. For many years, more than a decade, probably since the beginning of Kindle, certainly the beginning of Kindle Unlimited, there is a shadow economy, I call it, or a parallel economy. I would say that almost zero of my own personal sales are measured by any industry standards. Anyone who makes any money from Kindle Unlimited or Kickstarter or Shopify, or selling direct in any form, or selling books at conventions, none of this is measured by any traditional things. As you know, the New York Times list, for example, does not include Amazon sales in their bestseller list. So you've got indie authors in the UK who are incredibly successful who have to decide, say, someone like LJ Ross, for example, decides, “Okay, I'm going to set up a proper imprint with Gardners or whatever so that I can get in bookstores so that I can hit a Sunday Times list or something.” So I would say that seeing things like Dan Brown on a bestseller list has almost no meaning in the shadow indie economy. John: No, you're absolutely right. We're not even able to see audiobook sales. Jo: Yes, audio. Any kind of borrows, like Spotify. John: No, you're completely right. I suppose I was making a broader cultural point, that it doesn't feel like there's an enormous amount of innovation going on or risk taking within what I would call mainstream trade publishing. And there doesn't seem to be the need to be, because there will be more consolidation. Small companies will be bought by big companies, so there's growth through acquisition. There's still a hope that something will take off that is a surprise, and there's still an enormous reliance on established brands who, even through the traditional metrics of how you measure them, are probably selling less, but still at the top of the pile. I suppose that's what I was meaning. Jo: Yes, and I agree with what the industry looks at as signals. It's just, as we said, a lot of these signals are invisible. So coming onto innovation, at London Book Fair this year there were a lot of sessions on AI, and you mentioned AI briefly, and there is a chapter in Going Indie on generative AI. And of course there's a lot of negativity and drama and lawsuits and this, that and the other. But at the same time, at London Book Fair, a lot of traditional publishers talking about using it, and of course they always say, “Oh, we use AI only in marketing and business, not with the creative or editorial.” Everyone makes this distinction. What are your thoughts on what's happening and where's it going with AI? Is a lot of this stuff not happening in public and just going on behind closed doors? John: I think so. We do have a chapter in the book on AI. We've generated summaries of every chapter using AI, which we explicitly said in the book as well. We've got our Ten Commandments of what we think are useful guidelines. I think that there has to be an enormous amount being done, whether it's experimentation or speeding up for efficiency's sake, or things that slow you down, within mainstream publishing. There has to be more than just the guardrails around the creative process. And clearly when we're talking about metadata, book description, cover copy, presumably royalty calculations, presumably if you're trying to grow your newsletters. There has to be an enormous amount of activity going on. We're driven by the market, so we do not commission. Writers come to us and they either want to work with us and we want to work with them, or that doesn't happen. So we're in a sense seeing what the market is seeing, and that is a whole range of things. As I've said before, there's a lot of sweeping generalisations out there, which if you look back to that Kindle moment, we were talking a little while ago about what was going on in 2010/2011, about the enormous broad brush strokes that were being perceived as a result of Kindle. Kindle has affected some areas of publishing, it's affected some not at all. I think it will be absolutely fascinating when the sweeping generalisations stop and there becomes, I suppose, even more transparency. The thing that people are looking for, isn't it? A little bit less opaqueness as to what is really being done. Because everybody's being so careful about what they say they're doing and what they're not doing. I suppose ElevenLabs is the one where people are openly engaging on the audio side. I mean, everyone is being so careful and cautious. Jo: Me too. John: What do you think? We spoke a bit about AI within the book, and I'm interested to know what you think. Jo: Well, I've obviously been openly talking about it since 2016. I openly talk about using it, and I've got my Patreon community where we talk about how we're using it, and tips on how to use it. But then, because I have been writing and publishing since 2007, 2008, I'm very strong in my creative voice. I'm very strong in my understanding of what I consider to be my level of output, and what I publish under my own name is what I publish under my own name. John: Totally. Jo: So the problem is for people who are less confident, I think, in what they're doing creatively perhaps. I know some people feel like they're scared it will take over or something. When you're as strong-minded as me, it's not taking over anything. John: It's not going to take over anything. And the other side of the coin is how many people are finding Whitefox using ChatGPT. Jo: Mm. John: I'm thrilled that we are emerging, through very detailed briefing of AI, as something that is worth engaging with. Jo: Positive marketing. John: Yes, exactly. As you say, I think there's a lot of negativity, and I think it will settle down eventually. I think less hysteria. Jo: Yes, hopefully sooner rather than later. So as we come to an end, you've been in the publishing industry a long time and seen a lot of people who have disappeared, but also those who've lasted. I wondered if maybe you could comment on those who last, because I definitely feel like I'm in my 50s now, and I want to keep doing this. I'm pretty obsessed with— What are the hallmarks of people who have a long-term career? So reflections on that. John: Oh, that's such a good question. I think there's some common characteristics and themes. So I think authenticity, I think this idea of being continually curious. I think there are people who can't help but create, and this idea that once you've sort of expelled once, that's enough. I think there's people that just can't stop creating, whatever you do with it. But this idea that the more you do, the better you get, the more you evolve and keep an open mind. I think there's definitely entrepreneurial writers who love this idea of keeping their readers engaged, and how that conversation is something that evolves and that collaboration evolves, is fascinating. I think if you love that, and you listen, there's always an opportunity to keep building on what you do. I love the writers who we work with. I can think of a writer who we're working on his fourth novel at the moment, and he is a bundle of positivity. No matter the trials and tribulations, the things that have gone wrong, his expectations definitely not being met with his first book. He definitely has this idea that he wants to keep writing, he wants to get better, and he is getting better. It isn't a journey that has a beginning and an end. It's something that will continue for as long as he wants to write. Every single book that he has published, he has learned and gained confidence, gained a network of connections that he's utilised himself now to not make the first half a dozen mistakes he made on the first book. Who knows where it will end up? But certainly the satisfaction he's getting, and the sales he's getting, are growing as he becomes savvier and quicker to make the right choices and decisions. So I think that's my honest answer to that. I think there are definitely people who think, “Phew, I have really wanted to do this book. Now I can rest easy. I've done my book.” Then there are people who really, whatever their objective, whatever the definition of success is from the get-go, just can't help creating. I do love that and respect that. I don't think our book falls quite into that category, because I think it's a slightly different thing. I think there are people who are still making a success of what they do and redefining that as they go on, and who are really open to ideas and input from different people and are not closed off. I love working with those people. Jo: So where can people find Going Indie and everything you do online? John: Well, Going Indie is available online at all good bookshops. It's available at Amazon and anywhere you buy books online as ebook and POD. Our website is wearewhitefox.com, and you'll find information about not just our book there, but a lot of other things that we're doing on that site. Jo: Brilliant. Well, thanks so much for your time, John. That was great. John: Thank you so much, Jo. It's been a pleasure. The post Going Indie, Publishing Innovation, And The Challenges Of Book Marketing With John Bond first appeared on The Creative Penn.

Artificial intelligence may feel suddenly everywhere, but AI pioneer Vasant Dhar has had a front-row seat for more than four decades—teaching AI, building companies around it, and bringing machine learning to Wall Street long before ChatGPT entered the conversation. For the second week of Authors in August, David sits down with Dhar to ask not merely what machines can do, but how humans can think with them. When should we trust AI? When does it sharpen our thinking—and when does it make our brains lazy? If intelligence itself is becoming a commodity, where will tomorrow's value be created? And in a future where machines become extraordinarily capable, what are humans for?A conversation about AI, investing, trust, judgment, and our increasingly intelligent future. The Damodaran Bot is available for public use at: damodaranbot.com Vasant's monthly newsletter can be found at: vasantdhar.substack.com Host: David GardnerGuest: Vasant DharProducer: Bart Shannon Learn more about your ad choices. Visit megaphone.fm/adchoices

AI can write the essay, calculate the answer, summarize the book, and solve the problem before you have really had to think. Jim Kwik's concern is not just cognitive offloading. It's cognitive surrender. After 34 years teaching people how to learn, remember, read, and focus, he believes the real risk of AI is that technology starts doing so much of the mental work that we stop building the abilities we need most. In this episode, Louisa sits down with Jim to unpack what happens when we outsource memory, judgment, creativity, and critical thinking. He explains why learning requires effort, why the brain follows a "use it or lose it" principle, and what research comparing students using ChatGPT, search engines, or no assistance suggests about cognitive engagement and recall. They also explore cognitive reserve, metacognition, attention, reading, sleep, and why doing difficult things may be one of the best ways to protect the brain. Jim also shares the brain injury that shaped his life, the period when severe sleep apnea left him sleeping around 90 minutes a night, and the habits he now uses to protect his cognition. You'll hear why he says "mind before media," why reading is exercise for the brain, and how to use AI as augmented intelligence without giving up your own. The goal isn't to reject technology. It's to stay the pilot of your brain, not the passenger.

Microsoft's AI investments reveal a bizarre financial loop where billions pour into infrastructure, yet profits remain elusive. The hosts break down why the industry's most hyped tech might just be a high-stakes game of circular accounting. Plus, a developer has resurrected Microsoft Word for Windows 1.1a to run natively on Windows 11! Lastly, Stardock's latest utility replaces Alt + Tab for $7.99. Windows 25H2: new touchpad gestures, Windows Hello ESS improvements, Widgets improvements, Windows Search improvements, more 26H1: Windows Update calendar-based pausing, Picture Password EOL, Point in time restore, multi-camera support, user folder customization in Setup, etc. Over 420 bug fixes, but that's over 200 less than last month Follow-up on Microsoft's AI spending. It's much worse than we knew - And also much worse than we know now Yes, Microsoft Edge is going all-in on Manifest V3 Proton Drive - Now with a CLI and business features, and it's coming soon to Linux A developer ported Word for Windows 1.1 to x64 AI Gemini now has one billion users. But how many pay? - Plus the new Pixel phones are one step sideways, one step back OpenAI brings ChatGPT to Linux (!) Xbox and gaming A new Xbox Elite Series 3 controller leak shows it will have a mini display Microsoft tests new console features with Xbox Insiders Id Software brings a new episode to Quake to mark 30th anniversary! Minecraft is coming to Switch 2 Here comes GTA VI A Valve partner was hacked, Steam Machine customers warned Nintendo revenues decline 9.5 percent to ¥518 billion Tips and picks Tip of the week: View Git status directly in File Explorer App pick of the week: AltTabby RunAs Radio this week: The Content Management System Landscape with Matt Garrepy Brown liquor pick of the week: Sideshow Lincoln Straight Bottled-in-Bond Bourbon Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/windows cirasync.com/Windows cachefly.com/twit

Your clients are already using AI to question pricing, offers, inspections and agent recommendations. The agents who still believe access to information is their competitive advantage are about to have a problem. In this episode, Tim and Julie Harris explain how AI is changing the relationship between real estate agents and consumers. Buyers and sellers can now pressure-test your recommendations before, during and after your conversations with them. The answer isn't to dismiss ChatGPT or fight with your clients about whether AI is right. The opportunity is to become better at the things information alone cannot solve. You'll learn why agents should pressure-test AI instead of arguing with it, how to give AI enough transaction context to produce more useful answers, why strategy and negotiation matter more than access to comps, how AI search could affect agent visibility, and why Google Business Profile and hyperlocal content deserve attention. You'll also hear why Tim and Julie believe real estate agents need to get back in front of people. Human conversations, body language, seller motivation, past clients and centers of influence become even more valuable as more of the industry moves behind screens. Use AI to become faster. Then use the time it gives back to build relationships, negotiate better, solve problems and have more real conversations. Free training: HarrisRealEstateDaily.com Coaching: PremierCoaching.com Join eXp + Libertas: WhyLibertas.com/Harris Text Tim Direct: 512-758-0206 Opinions are my own and not the views of eXp Realty.

Sara Weinshenk is joined by SHENK producer Lee Nason for a chaotic solo episode covering everything from energy drinks and haunted dolls to airplane dance floors, movie-theater chili, AI privacy and Sara's deeply questionable ChatGPT history. Sara and Lee react to the story of a man allegedly losing his ability to walk after years of drinking energy drinks, discover that 1970s airplanes apparently had dance floors, and debate whether a 126-year-old doll is actually haunted. They also discuss the guy who brought a crock pot of chili into an IMAX and started selling bowls during the movie. Then things get increasingly personal as Sara looks through the bizarre questions she's asked ChatGPT, including health concerns, random facts, movie runtimes and whether yellow jackets are carnivorous. They also discuss AI chat privacy, leaked conversations, impulse spending, Amazon purchases, death and Kanye West's alleged bucket list.

Stop burning thousands of dollars on dead-end Facebook ads and Google marketing—the search landscape has permanently shifted, and the playing field is officially leveled! In this episode of The Note Closers Show, host Scott Carson breaks down how note buyers and real estate investors can dominate their target markets and rank as the #1 recommended investor using modern AI search tools. The days of prospects wading through ten blue links on Google are over. Today, sellers, lenders, and capital partners are asking ChatGPT, Perplexity, and Gemini directly for recommendations—and if you aren't providing machine-readable, factual content, you don't even exist in their search results. Whether you have closed zero deals or a hundred, Scott outlines a step-by-step strategy to optimize your digital footprint, leverage free high-authority blogging platforms, and repurpose your deal case studies into local "AI juice" that brings off-market deals and private capital straight to your inbox. Key Topics Covered:The Evolution of Search: Why traditional paid ads cratered and why AI answer engines now give direct, single-name recommendations instead of list links. Building Machine-Readable Trust: How to optimize your LinkedIn profile, About.me, and neutral third-party review sources so AI engines cite you as an authority. The Micro & Macro Blogging Strategy: How to use AI to generate city- and state-specific articles for your top 3 to 5 target markets on Substack, Medium, and LinkedIn. Leveraging Chamber of Commerce Directories: A growth-hack tactic to build high-authority backlinks and local credibility by highlighting local real estate vendors. Repurposing Audio & Video Content: How transcribing a simple 10-minute video case study creates multiple unique blogs and boosts your visibility fourfold. Optimizing Media & Video Length: Why YouTube pushes videos over 8 minutes and how proper image file naming drives extra search traffic. Don't let your competitors capture the top AI search spots while your experience sits on the sidelines. Take action, optimize your content workflow, and turn AI search into your primary deal-flow engine! If you want to discuss your note investing strategy or need help navigating your next deal, book a call directly at talkwithscottcarson.com. Make sure to subscribe, leave a review, and share this episode with another investor looking to scale!Watch the Original Video of this Episode HERE!Book a Call With Scott HERE!Sign up for the next FREE One-Day Note Class HERE!Sign up for the WCN Membership HERE!Sign up for the next Note Buying For Dummies Workshop HERE!Love the show? Subscribe, rate, review, and share!Here's How »Join the Note Closers Show community today:WeCloseNotes.comThe Note Closers Show FacebookThe Note Closers Show TwitterScott Carson LinkedInThe Note Closers Show YouTubeThe Note Closers Show VimeoThe Note Closers Show InstagramWe Close Notes Pinterest

James Hollingshead wins the Atlanta Pro — and he looked incredible. Dusty Hanshaw was there in person and brought back some great footage, so we break down James' win along with Regan Grimes, Patrick Moore, Joe Palacious and the rest of the Atlanta lineup. Then we switch gears for one of our funniest games yet: Scott reads famous bodybuilding quotes while Ron and Dusty try to guess who said them. Some of the answers — and ChatGPT trolling Dusty — completely derail the show. 0:00 Atlanta Pro + Famous Bodybuilder Quotes 1:10 Welcome Back to It's Just Bodybuilding 4:00 Lenda Murray Is Still Hot 8:00 Atlanta Pro — Lewis Breed Is MASSIVE 9:40 Charles Griffen's Comeback 11:00 Patrick Moore — Dusty Eats His Words 12:30 Joe Palacios 16:00 Regan Grimes 18:45 James Hollingshead WINS — Incredible Side Tricep 21:30 Inflation Hits Bodybuilding Tickets 27:00 Ranya Temizkan 30:45 Breakfast vs Lunch vs Dinner 36:00 Tyler Manion — Changes Coming to Figure? 44:00 GAME: Who Said This Bodybuilding Quote? 57:25 ChatGPT Trolls Dusty 1:01:00 Lee Priest's AI Skills 1:04:30 The Gen X Mindset Is Disappearing 1:07:20 Listener Questions 1:08:45 Swimming for Cardio? 1:10:20 Does Everyone Need a Deload? 1:12:00 Best Skillet for Bodybuilding 1:14:45 Best Cut of Steak? 1:17:15 Can Bodybuilders Actually Swim?

Want the playbook, not just the conversation? Subscribe for deep-dive, actionable breakdowns from every episode at unchurned.substack.com.Proofpoint had no named accounts. No digital motion. No success plans. Two years later, they've got an AI assistant wired into every customer's data, and an early warning system that catches churn risk a year out.Mark Vovsi, Senior Director, CS Operations - GTM Automation & AI at Proofpoint went from building the CS foundation at Proofpoint to reinventing his own job around AL. This episode isn't a highlight reel. It's Mark walking through what actually got built, in what order, and why. In addition to the debate every CS leader is about to have about where AI-driven insights should even live.---What You'll Learn• Why Proofpoint's CS org started with zero named accounts and what it took to fix it• The 4-stage AI maturity curve: generic AI → connected assistants → automation → predictive risk• How role-based AI assistants get wired into customer 360 data (and why generic ChatGPT falls short)• How Proofpoint auto-generates and auto-refreshes success plans for every customer, every quarter• What an Al-powered early warning system for churn actually looks like under the hood• The headless vs. cockpit debate: should CS insights live in the CSP, Slack/Teams, or Claude/MCP?• Why data hygiene (not AI) is still the real blocker for most CS orgs• How the CSM role is about to change: wider coverage ratios and "jack of all trades" expectations• What Mark looks for when hiring for Al-era CS ops roles---Timestamps0:00 - Preview & Intro2:00 - Meet Mark Vovsi (Proofpoint)2:38 - Building CS from scratch at Proofpoint3:52 - Overview of Proofpoint & It's CS org5:28 - Fixing the data before fixing anything else5:58 - What actually worked: top-down alignment + early adopters6:28 - The shift to Al: from CS Ops to AI/GTM strategy8:52 - Proofpoint's AI maturity model, stage by stage9:30 - Role-based AI assistants wired into customer 360 data10:50 - Auto-generating success plans at scale13:50 - Building an early warning system for churn risk15:00 - Headless AI vs. the CSP cockpit: where should insights live?18:24 - The 12-month vision: catching risk a year out20:00 - How the CSM role and CS hiring is about to change---Josh is writing a book on building customer relationships. Follow his journey and insights at www.joshschachter.com---Where to Find the GuestMark Vovsi: https://www.linkedin.com/in/vovsi/---Where to Find the Hosts: Josh's LinkedIn: https://www.linkedin.com/in/jschachter/Unchurned Substack: https://unchurned.substack.com/

What apps do you actually need to create great social media content?In this video, I'm sharing the content creation apps I use just about every day on my iPhone - from recording and editing videos to creating Reels, organizing B-roll, repurposing content and using AI to speed up my workflow.The good news? You don't need dozens of apps to create great content!I'm a big believer in keeping your content creation process simple. Your phone can do a LOT on its own, and a few go-to apps can make creating, editing and repurposing content so much easier.In this podcst, I share how I use:

More than a year ago, Melody put a placeholder in our shared podcast planning document: SOMETHING SMART ABOUT AI. We were sick, bored, or frustrated with the way so many podcasts were talking about it — usually because it involved dudes talking with other dudes and universalizing proclamations about whether artificial intelligence was going to usher in an age of utopia (doubtful) or kill us all (doubtful but more probable). We wanted someone willing to get into the gray areas of LLM and chatbot use in particular — someone with real experience with what they can do and real ambivalence about what they do to us. That person is Vauhini Vara, author of Searches: Selfhood in the Digital Age, and one of my absolute favorite thinkers working and writing today. In this episode, we talk about how LLMs short circuit the creative process, how they're changing the way students learn to think and discern, the specious argument that AI "democratizes creativity," really bad AI art, and why it's so hard to talk about AI usage just generally. I loved this conversation and keep coming back to the ideas, challenges, hopes, and frustrations we discussed — I think you will too. AI comes for the Community Flyer Thanks to the sponsors of today's episode: Ollie. Feed the Obsession. Go to ollie.com/culture and use code CULTURE to get 70% off your first box! Wake up with clearer skin, smoother hair, and cooler sleep. Use code CULTUREPOD for an extra 30% off at blissy.com/CULTUREPOD. Use code CULTURE at jonesroadbeauty.com to get a free gift with your first purchase! If you're looking to make a small change in your routine, you can get 15% off your first order at Blueland.com/CULTURE**.** Show Notes: Follow Vauhini on Bluesky here and learn more about her work here Buy Searches (which you know I LOVED!) here Read my interview with Vauhini from last year about Searches here Vauhini's essay in the The Believer that we repeatedly reference — "Ghosts" Vauhini's piece in Bloomberg on chatbots and AI in kids' classrooms You can find a transcript of this episode here We're currently looking for your questions on the following topics: HOW TO FIGHT! Priya Parker has a new book on how to actually disagree (fruitfully!) with others, so this is your opportunity to ask all those questions about the people in your life who shut down when you disagree / escalate unnecessarily / immediately throw straw-men your way ('people in your life' can also include you, of course) WTF IS GOING ON WITH DUDES/ DESPERATE MASCULINITY RIGHT NOW with Jon Ronson. You can read about his incredible new book here, but the gist is: the old order of masculinity is collapsing, and some very weird behaviors are emerging amidst that collapse. What have you noticed, what's alarming, what are your theories about how dudes are dude-ing the way they are — let's go. FINANCIAL INTERDEPENDENCE with Maria Melchor, author of Always Have Enough. Instead of aiming for financial independence, what does it mean to try and build a sort of collective wealth for your family and community? How does the idea of wealth operate differently for first-generation immigrants — and what lessons should everyone adopt? All things CODE-SWITCHING with Ari Shaprio and Audie Cornish (how do you change your voice, your posture, your demeanor, your subject areas, the way you talk about reality television, whatever, depending on layered context) Anything you need advice for/want musings about for the AAA segment. You can ask about anything — it's literally the name of the segment. Join the ranks of paid subscribers and get bonus content, access to the discussion threads, ad-free episodes, and the knowledge that you're supporting an indie pod trying to make its way in the world.Got a question to submit, a prompt for Ask Anne Anything, or an idea for a future episode? Tell us here.Catch up on everything else happening in the Culture Study universe here.Transcripts will be available here within 24 hours of publishing. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Samsung’s Galaxy Buds Hearing Aid feature gains US FDA approval to launch later in 2026, Foxconn reveals AI servers bring in 51% of revenue with Apple manufacturing dropping to under 30%, and OpenAI releases a ChatGPT desktop app for Linux. MP3 Please SUBSCRIBE HERE for free or get DTNS shows ad-free. A special thanks toContinue reading "Samsung Galaxy Buds Hearing Aid Feature Receives FDA Approval – DTH"

Sheldon Poon, Founder of Drive Marketing, helps established brands go from Wholesale to D2C through performance-driven advertising grounded in data, technology, and human expertise. He is driven to build a company that reflects his values—one where people enjoy their work, have flexibility and autonomy, and continuously learn from and teach one another. In this conversation, Sheldon introduces The A.I.D.A. Framework—Attention, Interest, Desire, and Action. He explains how businesses can eliminate friction across the customer journey, use clean data to improve AI-powered campaigns, and balance automation with human strategy. Sheldon also discusses why genuine relationships are driving B2B growth, how AI is reshaping internships and early-career development, and how Drive Marketing helps successful wholesale brands build direct customer relationships without jeopardizing their valuable retail partnerships — Go from Wholesale to D2C with Sheldon Poon  Good day, listeners. Today, I have Sheldon Poon as our guest. He’s the Founder of Drive Marketing, a Montreal-based paid ad agency specializing in performance-driven marketing with a heavy emphasis on using data to make informed strategic decisions. Founded in 2013, Drive Marketing positions themselves as a technical-first partner that bridges the gap between business goals and technical execution. So they’re not a creative agency. They are a technical agency improving your ads. Sheldon, welcome to the show.  Yeah, thanks for having me, Steve. I’m happy to be here. Yeah. Great to have you here. And my first question is, what is your personal why, and how are you manifesting it in the business? How are you contributing to human flourishing?  That’s a very big question for a small ad agency.  It is.  Yeah. So when I first started the company, I kind of, like a lot of entrepreneurs, right, it came from me kind of looking at my life and where I was in my career and kind of getting frustrated at what I was seeing with my day-to-day job. So I was in a very, very privileged position. I was able to take a bit of a sabbatical from my day job where they held my position, which was great, because if everything went downhill, I could always just jump back to my job.  And I was like, “You know what? Like, I have an opportunity here. I’ve always wanted to start a business.” But because I had been working for somebody else for almost, at that point, I think like a decade and a half, I had a lot of experience, and I saw a lot of things that I was like, “This is what I don’t want.” So when I started my company, my internal mission and vision was to build the company that I would want to work at, to build the company that is kind of true to myself and my values, and something that I would enjoy going into day to day.Share on X And then what does all that mean? So the company that I wanted to work at, as I started working and hiring people, what I found was I wanted to have flexibility in my schedule. We treat everybody on the team as an adult. Everybody’s responsible for their workload. And as long as they meet their deadlines, I don’t care when you’re clocking in, clocking out. I’m a night owl. I like working till like midnight, 1:00 a.m. I don’t like doing mornings, so I’m often coming into the office late.  A lot of my team are doing the same thing. Some of them are early risers, and they like to leave early to have their afternoon free. So as long as everybody’s more or less—everybody’s on top of their tasks and more or less working during the day so that we can have our interactions and meetings, that’s perfectly fine. Another thing I think that's core to what I wanted to build was that I've always been very passionate about learning and teaching. In another life, I was teaching high school.Share on X  And when I started building the company, one of the things that we made very clear when we’re hiring is that everybody on the team learns because they’re passionate about what we’re doing. And everybody on the team teaches. Even if you’re just an intern coming in, we need to know your perspective because you’ll have a different perspective than me, who’s been doing this for like two decades, where I’m kind of blind to maybe some of the newer stuff that’s happening or some of the stuff that’s like on the ground.  And I want to know when I talk to our interns, when I talk to our juniors, like, “Hey, guys, what are you seeing?” Like, you guys are—you guys are like 20 years younger than me in some cases. Like, I want to know what’s going on with the kids. My personal, like, kind of like personal why of this is that it’s not so much about the end goal. I want to make sure that I enjoy my day-to-day, I enjoy what we do, and I’m not going to pull my hair out going into the office. So, like, I think we built something where everybody on the team is excited to work on stuff because they’re doing the work that they would want to be working on.  They’re learning the stuff that they would want to be learning, and then they get to implement it in a way that is impactful for the company, for the client, for what we’re doing. And my challenge as a leader is to figure out, okay, how do we take that exciting stuff and make it so that it generates money for the company so that we can all continue doing this? Yeah, this is very inspirational. I love it. You’re tapping into people’s curiosity, desire. I like the learning organization idea as well. So do you have a framework for this? Because this podcast is all about frameworks.  Yes.  How can someone create something like that? What are the steps to create it?  So it’s not one framework. Like I said, I’m very passionate about a lot of different topics, and one of the things that’s a personal interest of mine is just business. So, like, looking at business case studies, and from that you start seeing what works and what doesn’t. It’s a lot of different frameworks kind of layered on top of each other for various reasons. For the practical ad side, what we do for our clients strategically, there's a framework there that we like to use called AIDA. So attention, interest, desire, action.Share on X  Very standard funnel. The idea is that the reason we like using this is because when you break down the customer journey, this process is just logical. It’s been proven time and time again. If you’re going into Marketing or Business 101, this is one of the first things that you’re going to learn about. Like, what is a funnel? A funnel is, you know, the client’s never heard of you before, and you do something to grab their attention.  Now they’ve heard of you, but that’s not enough. You have to have many touch points, and you have to build interest. So, like, once they’ve heard about you, you got to make sure that it’s a good fit and they’re interested in the pain point or the thing that you’re fixing for them in their lives. And then if you hit them up with that interest message often enough, they’ll start imagining how their life is better with your product or service, and that creates desire. And then once you continue hitting them up at desire, as long as you don’t have any friction between the desire piece and the final call to action, then you’ll get that action at the bottom.  And the thing that people talk about, like, there’s a lot of people that talk about this framework, but I don’t think they’ve studied it properly. Because when you actually look at the history of it, this framework was first introduced in 1898 in a magazine that was talking about ads. This framework arguably predates the term marketing. And when you think about how that framework looks in modern day, it’s changed a lot, right?  When you were running ads in the early 1900s, you could get away with saying whatever the heck you wanted and making whatever wild promises just to get people’s attention. The way that you did it was you maybe had, like, some sort of print or some sort of, like, literally talking to people, getting them to show up to a convention or an expo back in the day, and having those interactions with their audience.  Fast-forward over 100 years, and it looks very different how you grab attention today. Paid ads. People talk about SEO. People talk about viral content. It’s very much changed. What hasn’t changed is the framework. So what that tells us is that human behavior, right? So the framework is based on human psychology: attention, interest, desire. These are all things that are, like, within the human experience. That has not changed. What’s changed is the other end. The technology has changed, so how you implement that.  So the strategy is still the AIDA that we use, right? But our tactics are constantly changing. Now we’re looking at AI. The new thing about ads is that Google just announced that they’ve added an extra option next to PMax, which is the AI option, so that you can actually start showing up in Gemini. So now this has changed our tactics. But our strategy is still based on this human psychology. That's the framework over on kind of the front end.Share on X And then, like I said, we have a bunch of other frameworks. I don’t know how much you want me to get into it, but for hiring, for internal processes, for all sorts of things.  Yeah. No, no, no. I love it. I love the AIDA. It’s been a long time I heard about it, and I love the simplicity of it, and I think it still works. So you mentioned something that really interests me. You said that you grab the attention, interest, building the desire, and as long as there’s no friction in the desire, then you’re going to get—the call to action is going to work. So what do you mean friction, and give me some examples of what it could look like.  So when you’re talking about AIDA and you’re talking about funnels, especially when you’re talking about online, it’s all very, very quick, right? So there’s a couple of terms here. So when you’re at top of funnel, your main thing is—it’s called a funnel because at the top it’s very, very wide in terms of the audience you want to hit up, and you want to try to get out to as many people as possible. So a lot of people, when they’re thinking of marketing, they’re thinking of the top of funnel, whether they realize it or not.  Further down is you’re trying to get a more complex message across. So the practical way to think about it is at the top you’re trying to run ads that’s just very flashy and getting people to stop the scroll. So if they’re on Instagram or something, you literally want them to stop, and you want them to read a quick thing that gets them to click. Once they’ve clicked on it, they’re ending up on a landing page, and that landing page has information that hopefully connects to the audience in a meaningful way, and they’re interested in reading more.  An example of friction would be if you click on an ad that’s purple, and then you end up on a landing page that’s black and white or red. That difference in color, that difference in style creates a friction point that psychologically, it makes the person pause and go, “Wait, did I just end up on the wrong page?” So when you have, like, a very close alignment between each of those levels, it reduces the friction and increases the chances that people will go down.  So the most important friction point that people need to be aware of is, like I just talked about the top of funnel, the opposite end, the bottom of funnel, is where there's the highest intent.Share on X So you can imagine at the top of funnel, because people have never heard of you before, their intention to buy from you is probably very low or very limited because they don’t know you yet. But once you’ve done all that work to get to know them and create a relationship with the brand, you’re at the bottom of funnel, and that point is critical.  You need to make sure that by the time you’ve warmed them up and everything’s ready to go and the target person is very interested in taking that final step, that somebody else doesn’t come and grab them. For example, like, the very real-world example. If you think about some of the biggest marketing companies in the world, so let’s take McDonald’s and Burger King as examples, right? Because everybody knows those brands. If McDonald’s has taken so much effort to be on billboards and be in front of you, and you’ve seen the brand and you know it, and you’re walking down the street and you’re hungry, and then at that moment of intent, as you’re walking around downtown, you’re like, “I could go for a quick burger right now,” and you know that you’re looking for a McDonald’s, but as you’re walking, you come across a Burger King, you’re like, “Yeah, that’s close enough.”  And then you’re going to walk into the Burger King and do the transaction there. Online, what that looks like is when somebody is doing that final search. So let’s say Summit OS is selling T-shirts, and you’ve done a bunch of work and people love the brand and they’re looking for a specific type of T-shirt that you sell, but they can’t remember quite exactly what it is. They’re like, “Oh, I think it was Summit OS something T-shirt.” And then when they type that in, somebody else’s sponsored ad comes up.  Well, now they probably grabbed that traffic that you took all that time to warm up. If you end up on the landing page, when you scroll down to the bottom, okay, I want to buy this T-shirt. I’m happy with everything that I’ve seen, but now you’re asking for an email, you’re asking for, like, a bunch of things. You click on a button, it doesn’t work. Those are extra friction points that prevent a person from taking action. When you’re looking at the entire funnel, you got to make sure that from a technical standpoint, from a user experience standpoint, from a getting-in-front-of-them-in-the-right-moment standpoint, everything hits, especially in this digital economy where everything’s very, very fast.  So anything that goes wrong, anything that creates a question, anything that creates a frustration point or any opportunity for somebody else to come in and grab that traffic at that moment of intent, those are friction points that you want to address and you want to track and you want to find. And you can imagine how there’s a lot of complexity in that. There’s a lot of testing, there’s a lot of work to make sure that that doesn’t happen.  That’s fascinating. Do you have a process for how you do this, how to eliminate frictions?  Yeah. We have a team that does QA and walks through the entire thing and has to do constant testing because what we’ve seen is a lot of other agencies are using AI tools and shortcuts. And lo and behold, a lot of these tools don’t work and they give back false positives, false negatives, and it’s not as good as just taking the time to go through the funnel yourself and make sure everything’s working properly. And it sucks because it’s a lot of work, but that’s how you get the best results, is just by having someone double-check it.  And it’s not to say that we don’t use automation. Like, we use a ton of automation, we use a lot of tools. But the final QA is a lot of the time us and the client going through, like, “Okay, everybody, before we hit go, let’s just all go through this before we spend, like, you know, 10K on this and just make sure that everything’s working properly.”  Yeah. Love it. Love it. So you’re building this ad agency, a technical agency, so you focus on making the flawless experience. What drives growth in your business?  That’s a good question. That’s something that, honestly, we’re struggling with a little bit. So if anybody’s following me on social media, I’ve been doing a short series. I’m probably going to finish it off soon, but it’s called Watch Sheldon Struggle to Grow His Agency. And it’s literally how I’ve been trying to figure out how to crack lead generation for ourselves and our journey through, like, where we were maybe about a year ago to where we are today.  And we’re still trying to answer that question for ourselves in terms of, how do we get more leads and more clients in a very difficult economy, in a very difficult time? And we’re trying to figure that out. And people can look up our case studies. I think we’re quite proud of the work that we’ve been able to do, and having that technical know-how has given us a huge advantage in terms of performance numbers. And that alone, in the past, through my network, was enough to keep us busy because people would just seek me out whenever they had a problem with their technical stack or their ads.  I’d say in the last maybe 18 months or so, like a lot of other agencies, the word-of-mouth stuff has kind of dried up, where people are kind of, like, holding back their spend. We’ve had a bunch of contracts that were put on hold because of the economic situation around the world. Nobody knows what’s going on. Everybody wants to hold back spend. Everybody wants to sit and wait. So even though people are still contacting me, the flow of projects has slowed down because people are more hesitant to pull the trigger and go. It’s also taking longer for us to have these conversations. Because that organic piece kind of slowed down, we’ve been trying to find inorganic pieces.  I’ve been doing more networking. I’ve been trying to figure out building out our own funnel, which we should’ve done years ago. The thing that’s driving growth for us right now is probably the things that are not scalable, right? In the age of AI, when you’re working with a business, you want to be working with a person. Like, nobody wants a partner who’s just a machine. So doing the things that are not scalable means really doing the things that are human, having human interactions, having human conversations, going out for coffee with people, meeting people at conventions and workshops and, you know, like, literally just getting our name out there in a way that is more human and just having real conversations.  And despite all the other testing that we’ve done with the cold emails, with the ads, with this, that, and the other thing, like, that seems to be the thing that’s working the most, is just kind of putting my name out there and saying to people, like, “Hey, if you have a problem, come talk to me. We’re not necessarily going to have a contract together, but hopefully we can have a quick coffee and I can at least get you past a technical hurdle.  I can give you some insight into what you’re struggling with and give you a hand.” And that kind of goodwill has led to more conversations and more contracts and new contracts than anything else that we’ve done. For our clients, because our clients are more direct-to-consumer, so they’re usually bigger brands that are selling a quick product, quick service to the general public. They’re not B2B, they’re B2C. On that front, it’s literally what we just talked about, following the AIDA playbook, making sure the funnel’s good, making sure the ads are firing, making sure the data’s there, and then that’s how we get our crazy numbers, like 12X return on ad spend, you know, 14X return on ad spend.  That’s just following the system and doing the work. So for our clients, we have it under control for their growth. For our own growth, for the B2B side, that’s where I’m realizing that, like, we need to step away from all this AI noise, and people are trying to do these AI BDRs and all these things, and it just doesn’t work because people want to have a real human conversation.  Yeah. No, I totally see the same thing. The easier the automation, the more it just becomes noise.  Exactly. It’s democratized automation, which means that, like, it’s no longer the thing that stands out. You have to do something different.  Yeah. And people are becoming resistant, and they recognize if something is AI-created, and they just tune it out, right?  Yeah, exactly. Exactly.  Yeah. It’s fascinating. How much of your time is actually spent on networking and doing the human things as opposed to running your business?  I’m very fortunate that my team mostly runs the day-to-day at this point, so I’m spending most of my time doing all the other stuff. So, like, trying to do the networking, trying to get our name out there, and then everything else is just admin and paperwork. So in terms of actually running the day-to-day of the company, our head of operations, Brent, does a fantastic job of running the team.  Jack, our head of marketing strategy, does an amazing job of making sure the ads are firing properly. Whenever I get involved in the day-to-day, they get annoyed at me because I’m like, I’m coming in, I don’t know what’s going on, and my hair’s on fire. I’m trying to do X, Y, Z, and then I jump out and I just create chaos. So most of the time they’re telling me, like, “Yeah, listen, go out and talk to people. We don’t want you at the office. We don’t want you doing the work.”  So how fast is your product evolving?  Oh, constantly. I mean, the way that I explain it to people, right? A lot of people right now, especially running ads, right? Because that’s our core product, that’s our core service, is running ads and making sure that we maintain that competitive advantage for our clients. Because of the advent of AI, everything’s constantly changing. Already it was a very technical space because a lot of people seem to think that whether or not your ads do well, they think it’s a creative exercise, and I think it was up until about eight months ago.  But today, I would argue that it’s skewed, and it’s more of a technical exercise. Because these ad platforms are running AI algorithms, the quality of the data that you feed into it now is more important than ever. And like I said, there’s been a lot of changes in the last few months to the point where now it’s no longer about how good your content is. It’s about how good your targeting is, how good the data you’re feeding it is, how good your audience is kind of reacting to it, and then making intelligent tweaks to your content based on the feedback that you’re getting back from the AI.  So these are things that are constantly evolving. Like I said, even though the strategy doesn’t change, the tactics and the technology is a constant change. So the AI thing that I was talking about where Google just released or just opened up the option to do advertising with AI responses, that’s less than, I think, three months old. So that’s the new thing that we’re now testing with our clients to see how is this working, how is this working.  The other thing too is that the way I describe it, a lot of people now—the new thing that we just noticed within the last few months—is that people are saying, like, “Oh, I can just use an AI agent to set up my ads.” But these AI agents are based on large language models, right, the LLMs. And the way that large language models work is that they’re trying to give you a statistically accurate response, which is great for certain things, not so great for other things. So the way I tell people is that if you were to take an LLM, again, which is what most of these agents are based on, you were to graph all the possible responses for accuracy, what you would end up with is a bell curve, right?  And on the bell curve, you have on one end, you have these are all the answers that are definitely wrong. And on the other hand, these are also answers that are, like, they’re novel, but we don’t know how accurate they are. And then in the middle, at the top of the bell curve, right in the middle is the statistical most accurate response that it thinks it can give you. So it’s always going for that statistical middle with these LLMs. So when it’s setting up ads and it’s doing strategy, it’s going for what is most likely the safe result, right?  The least interesting.  It’s the least interesting.  Yeah.  Now, when you’re running ads, right, it’s a race. My background is in software and computer science, so when I’m doing coding and I’m using Claude Code, I want statistical middle. I don’t want it trying new things with my code. I don’t want it to be a bad programmer like a junior, but I don’t want it to be doing stuff that’s so advanced and novel that it’s not tested, it’s going to break. I just want the middle, right?  Engineering middle. But when we’re running ads, it’s a race. And if you’re in the middle of the pack in a race, you’ve lost. So one of our big advantages is that we’re using a lot of AI for automation. We’re using a lot of automation tools to do our day-to-day. But when we’re coming up with a strategy and building out the ads, it’s a human that’s doing that because we want to be at this far end that’s going to be ahead of everybody else. We don’t want to be middle of the pack.  So from that sense, it’s constantly changing to keep on top of these things to figure out what’s new, what’s going on. The ad platforms are changing constantly because, you know, the way that we interact with the internet is changing constantly. So, like, yeah, it’s constant, it’s a constant race.  So, but doesn’t that also bring you back to the creative part?  It does.  How to be creative, maybe not design-wise, but some other way?  It does, but in a way that I think a lot of creative agencies don’t understand. Because a creative agency will focus on the story, and they will focus on, you know, telling a good story, and they are thinking, if I can put it this way, they’re thinking very linearly. So one of the big mistakes that we see, like I talk to a lot of other agency owners, and every once in a while I help consult on the side, just to give them some advice in what they’re doing, what’s working and what’s not.  And one of the things that I see a lot is that a lot of these agencies have not understood how the new PMax campaigns and how the new Advantage+ campaigns work, so they’re working against the AI algorithm. So a lot of these other agencies, they’re more content than they are technical. So what they’re doing is they’re trying to tell a good story from the content, and then what they’re trying to do is they’re trying to find the demographic that they think will match with the content. So they’re content first, right?  So what they’re trying to do is, if they’re putting together a story for a product, they then in their heads think, “Okay. Well, I think I need to go for, you know, women living in suburbs that are between this age and this age and this income range and are interested in XYZ thing, and that’s how I’m going to set up the system, and then they’re going to see my ad, and then there should be a connection there.” That’s not how it works anymore. So in that setup, I can see how it’s super important to understand the story and get all that done.  The modern way that we’re doing things that’s different is that when we’re building out our content, we work with the content agency or we work with the marketing team to say, “What is your interest piece that’s going to get people to stop scrolling? What’s the interest piece that’s going to get people to want to read more? How do we build that desire for them? And then give me those in different assets, different pictures, different videos, different texts, different descriptions, different headers.”  What we then do is we take all of that content, and we put it into an asset library on PMax. So what we do is instead of telling PMax to look for XYZ demographic, we don’t tell it to do any of that. We let it go broad, and it does the opposite. What it does is, and of course, this is after the caveat. We’ve already set up the landing pages. We’re collecting all the data. We’ve tested all that. The data modeling is solid, so the entire funnel, all the micro actions, everything, we know that is being fed cleanly into the system, because that’s important. What the system’s then going to do is it’s going to, like, not just A/B test, but it’s going to take every combination that it can think of with all the different assets, with the videos, the text, the this and that and the other thing, and it’s going to start testing all the different combinations quickly.  And mixed in there is all the interest, attention, desire, everything. The algorithm is then going to figure out, based on all the data points that it has on us, it has, like, 57,000 data points, I think, Meta has on us. When a user has this pattern of data, they seem to resonate with this combination of assets. This pattern resonates with this combination. So bit by bit, what it does is it will start creating audiences for you that resonate with different kind of, like, asset packages. And then lo and behold, what we see is that emergent is the attention content all gets grouped together, and now we have an audience that’s ready for attention.  The interest piece, this is all the content that we had flagged for interest. Here’s our interest audience. And then the AI is basically working to figure out for you, not based on anything other than random data points and patterns, what is the audience for you? And then it’ll be able to then say, “Okay, now that we have a pattern to look for, we have, like, another 100,000 people that match this pattern and we can start advertising to them. And that’s the proper way to do it. But the thing that people are uncomfortable with is that it’s a black box. We don’t know what their demographic is. We don’t know where they live on the internet. We don’t know what their interests are. We don’t know any of that. It’s just random data points and math that has created this audience for us. And if you were to extract those people and put two or three of them next to each other, you’d go, like, “I don’t understand why these people have anything in common.”  But somewhere in the data, the data is signaling that they are going to resonate with your content. So this is what I mean. Like, the content is still important, but I think it’s skewed, like, a little bit. I’d say, like, now it’s, like, 60% data and math and 40% content, whereas before, it was much more heavy on the content side.  Very interesting. And this is how your platforms will find the lookalike audience based on your sample audience?  Exactly. Exactly.  Yeah. That’s fascinating. So other than the lead generation, what’s one thing that you’re actively trying to figure out in your business?  Other than that, we’re just having a lot of fun with all these new AI tools. I’m getting a few members of my team working with Claude. A few of us are working with ChatGPT. We’re trying to see, like, what these platforms can do, what are the things it can automate. I think one of the really cool things is now something that used to take, like, weeks to create code around, it can be done in an afternoon.  So it’s like, as soon as we identify a business problem, something that my team has to do, like, you know, three or four times a week that slows us down, now I can tell my devs, like, “Hey, guys, like, this is a business problem that we have. Can you guys just come up with a quick tool to do?” And we can build it, and we can just have it. So we’re trying to experiment more and more with how we can kind of speed up our development process.  And because we’ve been developing for so long, there’s a few things that are kind of like the—a few of the standard ways to run a development team that are now starting to be questioned because these LLMs are getting better and better at taking over some of these mundane tasks, that we’re starting to revisit what is our QA strategy when we’re actually coding. Like, what’s a more important skill set? One of the things I think that we’re trying to navigate right now is what is our hiring process for interns going forward?  So in the past, when we were looking for juniors and interns, the skills that we were looking for was like, what is your ability to figure out the answer to this question, right? Given a complex question, given a complex task, how are you going to be able to figure out how to solve this? Because of the rise of LLMs, finding the answer is no longer as important as asking the smart question. And the challenge that we’re facing right now is that asking a smart question requires critical thinking. A lot of critical thinking requires experience. The best critical thinkers have decades of experience behind them. How do you get that from an 18-year-old who’s coming from school?  They literally have no experience. That’s why they’re coming to us as interns. So we’re trying to figure out, like, okay, how do we square that? And we’re very proud of the internship work that we do. It’s a way for us to give back to the community. We work with a lot of the colleges and universities in town. Like I said, I myself came from having taught high school, and I’m very passionate about education, so I want to do good by that industry, by those students.  But we’re having a bit of a hard time because we don’t want to necessarily disadvantage them, but we’re also trying to figure out how do you find a good critical thinker among kids with no experience. So that’s probably the thing that we’re trying to figure out right now.  Yeah. That is fascinating. And that is a big issue for young people coming up, how to get those internships. Internships are harder to get, and probably this is the main reason for it, because people use technology to replace the inexperienced people.  The bar has definitely gone much higher. And again, we’ve experienced this as well, where, like, we’ll have a task, and we can ask an intern to do it, and they’ll kind of, you know, grudgingly figure it out and do it. But if it’s a critical task that needs to be done, that same exact task can be handed off to an LLM, and it’ll just get it done. Yeah. It won’t be amazing quality the way that, you know, a senior developer will do it, but it’ll be good enough, and it’ll be probably better than what the intern can do.  So if you’re only looking at the task from a purely productive lens, well, I’ll get a better result from the LLM, so then the intern has no purpose. We’re having to reshape the way we think about this, where if we are truly building an internship program, at that point, it’s not about the productivity, it’s about the learning that the intern gets out of it. So it becomes a teaching thing. So we have to be okay with handing off this task to the intern, knowing that an LLM could probably do a better job.  But they need to learn how to do it first so that they can rise above it. And I think what we’re seeing right now is that companies are not mandated to teach. They don’t care about the learning of the intern. They care about the production of the thing. And in the past, it was cheaper to get the intern to do it because there was no other option. But I think companies are realizing, like, well, we can just have the LLM do it, and it’ll be better and faster. Why do we need the interns? And that’s why these opening early positions are not being handed out anymore. The problem with that is that you don’t get senior-level people without training them up as juniors, and we’re giving all of that learning opportunity to machines.  Yeah.  So what does our future look like with that gap? What does the future look like for these kids coming out of school? Like, these are all obviously much bigger questions than my company can ever answer. This is a bigger societal question, but this is what we’re seeing kind of on the front lines, having a very strong internship program. We’re struggling with this idea, like, where is this next generation coming from?  That’s scary. That’s very scary. So who are the ideal clients that, if they listen to this podcast, you want them to contact you? Yeah. So basically, our biggest successes are with brands that are very strong on the wholesale side and are already in retail stores. So a lot of times what happens is you have a company that does an amazing product. They’re already in Walmart, they’re already in Costco, they’re already at Winners, and they have built up a very successful wholesale B2B business. They then launch a Shopify store, and they want to start getting the brands and start building a relationship directly with their consumers.  And then they’re realizing, like, “Oh, this is a different game, and we’re struggling.” And then at that point, it’s easy for us to come in and help because they have a strong offering already. They have a wholesale side that can drive their growth. And our job is to make sure that we start help building out that direct-to-consumer side by making sure that all of the data is mapped out properly. We like working with companies like that because they already have a very good idea of their marketing, why their product is successful.  They know which products are successful and not, so we can skip a lot of the learning part, and we’re just putting a megaphone on their existing brand and their existing offering in the most efficient way possible to make sure that, you know, right away out of the gate, that their D2C business is going to be just as strong as their wholesale business.  Yeah. Oh, that’s fascinating. So essentially, you pick those companies that have a good product already because it’s tested in wholesale channels and the Costcos and Walmarts and the Amazons of the world, and you help them tap directly the consumers through very targeted advertising.  Exactly, exactly. And then once we have that basic foundation set up, then we start doing interesting things like, how do we get the newsletters out? How do we help them get their marketing team to have more of a direct relationship with their end customer? Because when you go to a Costco or you go to a Walmart and you pick up a product, what happens is that the retailer holds the relationship, right?  It’s a way to help them offset that. And it’s kind of a tightrope that we have to walk because we recognize that the relationship with the wholesaler is still key. So whatever we do, we have to be conscious that we’re not going to upset that balance.  Yeah.  And that everybody’s winning, everybody’s making money, everybody’s growing, nobody’s getting upset with one side or the other. So because we’ve had experience working with national brands, we are positioned to understand what that relationship looks like. We know from our client side what it’s like when they’re talking to the Costco rep, what it’s like when they’re talking to the Walmart rep, what those subtle differences are in culture, and what we need to be aware of because, you know, we want to make sure that nothing that we do on our side jeopardizes that relationship.  Yeah. And then the big companies—what they want is they want to commoditize you, and they want to control the relationship, the brand. They want their white-label brand on top of your product. Yeah.  Which is their right. I mean, they’re the retailers. They’re the big guys.  Yeah. If you don’t build your own brand, then you’re going to slip into the white label because you have no leverage over the big, big stores. But if you have a strong brand, you have leverage, and then the whole relationship works better. So it’s very interesting. Okay.  So if people would like to learn about how they can do that, how they can go from wholesale to D2C, and would like to learn about how you can help them, where should they go and how can they contact you?  Yeah, so there’s a lot of information on our website, so drivemarketing.ca, so the Canadian extension. Yeah. And then I think I’m the only Sheldon Poon that’s really active on LinkedIn. I think there’s one other one that’s maybe in Hong Kong somewhere, but that’s not me. He’s, I think, an older guy. So if people look me up on LinkedIn under Sheldon Poon and just message me, I’m pretty active there and I try to answer everybody.  And what I love is helping people out. Even if people have no intention of hiring us, I’m like, “That’s totally fine.” Send me your questions because I like to be able to help and answer and know what people are struggling with because it helps our work. It just gives me an opportunity to have conversations with people.  Awesome. So if you run a brand that has already cracked the wholesale channels, but you want to build your direct-to-consumer, you know, hit up Sheldon on LinkedIn, Sheldon Poon, and have a chat with him. As you can see, he’s a great person to chat with. And if you enjoyed this show, then stay tuned because every week we have a couple of entrepreneurs who are building great companies who come and share their frameworks with you. So Sheldon, thanks for coming and sharing your wisdom, and thanks for listening.  Yeah. Thank you. This was great. It was my pleasure. Thank you so much for having me on.  Important Links: Sheldon's LinkedIn Sheldon's  website

On the latest episode of Security Visionaries, host Emily Wearmouth sits down with Mohit Kulamkolly, senior engineer on Netskope's security red team, for a candid look at what happens when you point frontier AI models at your own product's code. Mohit draws on his team's research (using Claude Mythos and ChatGPT 5.5), explains what a memory corruption bug actually is, and why it remains one of the hardest and most dangerous flaws to find. From building isolated sandbox labs that let AI agents hunt for crashes, to a second experiment where the AI got more control and its findings were checked by a completely separate AI, Mohit walks through two very different ways of putting these models to work. The discussion explores why you can never just trust a model's claim that it found a bug, how sub agents kept the hunt moving for days without giving up, and why AI is even more useful earlier, threat modeling a product before it's built, than after the fact.   Mohit and Emily also tackle what this means for security teams that don't have frontier model access yet, and why finding thousands of vulnerabilities is only half the job without a real remediation plan. This episode's bottom line? AI is changing vulnerability research at every level, and the security teams that get ahead of it will be the ones that give it the right tools early.   Blogs:https://www.netskope.com/blog/teaching-openai-5-5-to-hunt-memory-corruption-bugs https://www.netskope.com/blog/when-mythos-owns-the-loop-self-verifying-vulnerability-research 

Vacation rental search is changing fast.Organic traffic is declining, AI Overviews are taking up more space in Google, and travelers are increasingly using tools like ChatGPT, Gemini, and Claude to research where to stay.For property managers, that creates a new challenge: how do you stay visible when the way people search is no longer as straightforward as ranking on page one of Google?In this episode, Alex & Annie are joined by Vanessa Humes, VP of Sales and Marketing at ICND, and Jill McGee, Senior Digital Marketing Specialist, to unpack what this shift means for vacation rental brands and their direct booking strategies.They explore why SEO is still very much alive, how AI is changing the path travelers take before reaching a website, and why the fundamentals of trust, authority, useful content, and strong website structure may matter more than ever.The conversation also looks at what operators should actually be paying attention to as new terms like AEO and GEO enter the marketing vocabulary, whether emerging AI optimization tactics are worth the hype, and how the metrics used to measure digital marketing success may need to evolve along with search.In this episode, we discuss:06:45 - Why declining organic traffic does not mean SEO is losing its value07:33 - How AI is changing the way travelers research and discover vacation rentals26:14 - What SEO, AEO, and GEO mean for vacation rental marketers10:32 - Why trust, reviews, structured data, and strong content still matter36:27 - How property managers can create content with stronger booking intent23:41 - Why AI-driven traffic may be smaller but more qualified29:00 - Which new AI optimization tactics deserve attention and which may be more hype than substance48:20 - How operators should think about search visibility heading into 2027If you are trying to understand where SEO fits in an AI-driven search landscape and what your vacation rental brand should be doing now to stay discoverable, this episode is worth a listen.Connect with Vanessa:LinkedIn: https://www.linkedin.com/in/vanessa-humes-549b528/ Connect with Jill:LinkedIn: https://www.linkedin.com/in/jill-highsmith-mcgee-940908179/ Connect with ICND:Website: https://bit.ly/3THIq8J LinkedIn: https://www.linkedin.com/company/intercoastal-net-designs/ Free Resource from ICND:Download ICND's AI Visibility Case Study to learn how vacation rental companies can adapt to AI-driven search.

Two-thirds of holiday shoppers are using AI tools like ChatGPT and Perplexity to find and compare products, bypassing traditional search bars. Neil Twa dives into why your Amazon listings might be invisible to this massive audience and what you can do about it. After reading a Retaildive article, Neil was struck by the fact that 67% of shoppers have already adopted AI for their purchasing decisions. He shares a real-world example from a home goods brand that, despite having a strong product and reviews, is missing out on visibility. Neil outlines three critical moves to make before Black Friday, applicable whether you're making $5,000 or $500,000 a month. These steps are crucial for ensuring your listings are optimized for AI discovery. If you're realizing your listings need to work harder across more platforms than just Amazon, this episode is a must-listen. Ready to implement with us? Join the Voltage Business Builders cohort at voltagedm.com?utm_source=rss&utm_medium=show_notes&utm_campaign=epNone Ready to implement with us? Join the Voltage Business Builders cohort at voltagedm.com: https://voltagedm.com?utm_source=rss&utm_medium=show_notes&utm_campaign=ep-draft

John Cadeddu is the founding and managing partner at Corner Ventures. John brings 25 years of venture capital experience to this role and is a generalist with domain expertise in machine learning and artificial general intelligence. Prior to Corner, John co-founded DAG Ventures in 2004 and was Key Man for Funds I-V. As a venture investor, John has led investments in over 60 companies, including Bloom Energy, FireEye, Ambarella, Yelp, Pacific BioSciences, Jasper Technologies, Xoom, Eventbrite, Nextdoor, OneMedical and Wealthfront. Prior to this, John worked at JP Morgan, Tandem Computers and Octel Communications. He earned his BA with Honors from Harvard College and his MBA from Stanford University's Graduate School of Business. John co-founded Aurite in 2023 following the release of ChatGPT. John and his wife, Wendy, established a college scholarship fund in their Canadian hometown 25 years ago that has enabled 149 students, and counting, to attend university.

In this episode, Jason and Jeff sit down with Joe Magyer of Seaplane Ventures to explore how generative AI has completely rewired the startup investing landscape. The trio discusses how tools like Claude and ChatGPT have drastically lowered the cost of building software, the heavy consolidation of capital into frontier labs like Anthropic and OpenAI, and why genuine domain expertise and network effects are more valuable than ever for venture capitalists navigating an AI-native world. 01:36 Why AI Changes VC 03:55 VC Concentration Shift 06:05 Cheaper Startup Building 08:42 More Pitches to Sift 11:24 Using AI for Diligence 14:28 Human Edge and Alpha 20:41 Culture and Expertise Future 27:38 Apprenticeships and Jobs 32:06 AI Jobs History 34:19 Venture Hit Rates 37:52 Defensibility Network Effects 40:07 VC Consolidation Debate 43:14 Founder Leverage Value Add 46:20 Portfolio Support Metrics 49:36 AI Costs Falling Fast 54:47 Next Trillion Giants 57:24 Where To Find Joe Companies mentioned: AAPL, EBAY, GOOG, GOOGL, META, UBER Find Joe at https://www.seaplaneventures.com/ Find where to listen & subscribe,  portfolio contests, and contact information at https://investingunscripted.com ***************************************** To get 15% off any paid plan at fiscal.ai, visit https://fiscal.ai/unscripted Listen to the Chit Chat Stocks Podcast for discussions on stocks, financial markets, super investors, and more. Follow the show on Spotify, Apple Podcasts, or YouTube ***************************************** Join our Patreon Subscribe to our portfolio on Savvy Trader. Use code Unscripted2026 for 30% off a one-year subscription! Learn more about your ad choices. Visit megaphone.fm/adchoices

... the answer it gave me might surprise youJOIN ME ON A TOURPREVIOUS EPISODE "Why Were No Mummies Discovered Inside the Great Pyramids?"

Whoopi Goldberg, Keke Palmer, Claressa Shields, Amanda Seales, Tasha K, ChatGPT privacy and the Gorilla Glue Lady?! Yeah… we had a LOT to talk about.

Send us Fan MailSome of the cheapest, easiest promotions to run are the ones fans are already doing on their own. In Episode 178, Jeremy Neisser breaks down two low-maintenance promotional nights built entirely on existing demand: hosting fantasy football drafts in your suites and running a fidget trading meetup for families. Both come with real pricing examples, a small tweak that turns a one-night rental into future attendance, and the marketing rule that decides whether they sell. If you've got a soft date and no budget to fix it, this is the episode to act on.KEY TOPICS COVERED- Why the cheapest promotions to run are ones fans already do without you — and how to spot them- How to package your suites or private spaces as fantasy football draft nights while draft season is still live- Real pricing benchmarks teams are using ($400 for 20 people per suite; $900 per suite with extras)- The one tweak stolen from Boise State — bundling a specific game ticket — that turns a room rental into a date on your calendar- What Boise State, the Baltimore Ravens, and a baseball team actually included in their draft packages- How to read Google Trends to catch a promotion while demand is climbing, using fidget trading as the example- Everything a fidget trading meetup requires on your end (spoiler: a board and a room)- How to build a branded trading board in Canva in about 20 minutes and print it locally for next to nothing- The single principle that makes both ideas cost almost nothing to run- How to write the offer in the buyer's words so it actually gets booked- Where to run these on a soft date — suites, pregame and postgame spaces, or any open area- How to keep the booking flow simple: visible price, clear inclusions, one buttonTIMESTAMPS[00:00] – Two easy promo ideas built to rescue a soft date on your schedule[00:43] – Why fantasy football draft season makes this an August-into-September play[01:12] – A suite rental example: $400 for 20 people and how the draft-night setup works[01:42] – What Boise State and the Baltimore Ravens added to make their packages sell out[02:40] – The bundling move that turns a one-night rental into future attendance[03:10] – Fidget trading explained, and why families already get it[03:39] – How stores and Chick-fil-A locations are already hosting trading meetups[04:07] – What a fidget trading event actually needs from your venue[04:35] – Build a branded trading board fast with Canva, ChatGPT, and a local printer[05:31] – The shared reason both promotions work: you're supplying space, not creating demand[06:29] – Sell it with the buyer's words — "host your fantasy draft here," not "suite rental package"[07:26] – The best way to use these ideas when the date is soft and the budget is zero[07:56] – Closing thoughts and an invitation to share how your event goesCALL TO ACTIONIf you've got a soft date coming up with no budget to fix it, pick one of these and run it — a fantasy draft in your suites or a fidget trading day at your ballpark or arena. Then head to Apple Podcasts or Spotify and leave a rating or review so the show reaches more sports marketers trying to sell more tickets and grow their fan base. Jeremy would also love to hear how your event turns out.Links Mentioned: SkyCarp Fantasy Football PackagesBaltimore Ravens Fantasy Football PackageArizona Diamondbacks Fantasy Football PackageHartford YardGoats Fantasy Football PackageBoise State Fantasy Football PackageToledo MudHens Fantasy Football PackageGoogle Trends - Fidget TradingInstagram - Fidget TradingFidget Trading BoardsRevelocity Sports Sports Marketing Machine on LinkedInSports Marketing Machine on InstagramBook a call with Jeremy from Sports Marketing Machine

De undersøgte eleverne med metaldetektorer på vej ind i eksamenslokalet. De overvågede deres skærme, og de byttede om på pige- og drengetoiletter, så ingen kunne gemme noget derude. Forsøgene på at forhindre snyd ved årets studentereksaminer malede et klart billede. Et billede af en generation, der er blevet så vant til at bruge kunstig intelligens i deres skolearbejde, at de ikke kan klare sig uden. Generation ai, bliver de kaldt. Og ser man på en stikprøve af deres eksamenskarakterer, så er der meget, der tyder på, at de faktisk er blevet dårligere, end de generationer, der gik på gymnasiet, inden chatGPT gjorde ai til noget, som alle og enhver kan bruge. Cecilie Lund Kristiansen, der er uddannelsesredaktør på Politiken, gæster dagens episode af ’Du lytter til Politiken’, for at svare på, hvad det er, vi mister, når vi spørger chatten i stedet for at tænke selv. Og om tusindvis af unge i disse uger starter i en skole, der faktisk er forældet? Om vi er nødt til at gentænke noget så grundlæggende, som måden, vi underviser på? Vært: Kathrine Rossau Producer: Jonas Schrøder-Andreasen Researcher: Peter-Emil Hornemann Redaktør: Line Prasz Har du fået downloadet vores nye app Politiken Lyd? Politiken Lyd er vores helt nye abonnement med eksklusive podcasts og artikler i én app. Prøv 3 måneder for 99 kr. her.See omnystudio.com/listener for privacy information.

Send us Fan MailWhat if money isn't really the thing holding you back?Dr Joe Vitale—bestselling author and star in movies Zero Limits and The Secret, and one of the world's leading teachers on money, abundance and spirituality —reveals what may be blocking your best money life. And how to change that.He shares four levels of consciousness when it comes to our beliefs around MONEY as described in The Awakened Millionaire, with examples of how he moved beyond homelessness, despair and victimhood to empowerment, surrender and eventually awakening (which he says is only given by grace).A powerful story he shares concerns how a PENCIL moved him from deep bitter despair to gratitude and eventual empowerment.The kind of "money story" a new book Tap into Your Best Money Life is curating for publication with Best Life Publishing. Joe is writing the Foreword.

Google quietly shipped four new ad formats inside AI Mode, and almost nobody covered it. We did. Plus: a $13 CPC on ChatGPT ads, and Memrise's growth agent that lives entirely in Slack.CHAPTERS00:00 Cold open03:06 Welcome — Victoria joins, Polina returns04:24 What's on the show today05:30 WATERCOOLER: Sonnet 5's price hike and Fable 5's return07:38 Token-maxing culture and the hidden cost of the price hike10:16 Ford rehires the people it fired — to train the AI12:47 Why the most elementary AI framing gets the most buzz14:27 Benchmarking models on price, speed and quality before you buy15:12 Product Hunt's June: the top tools were integrations, not standalone AI17:30 The core stack nobody has replaced (and why Slack survived)22:14 The vibe-coded app problem: broken back ends, ToS exposure, $20 lessons26:01 Cannes Lions: the agency billing model everyone admits is dead28:02 Creator activations go niche — eyeballs over follower counts28:45 Why Victoria skipped Cannes, and the CEO as the next creator31:04 Celebrity clout vs. an actual event strategy33:40 AI's image rehab in marketing, and the founders paying for their own message36:06 SheaMoisture flipped the creator brief39:21 Why YouTube mid-roll ad reads stopped working40:42 Google's AI Mode ads — the story nobody covered43:03 Four new ad types, and what a business owner is actually signing up for44:43 A $13 CPC on ChatGPT ads46:10 Could ChatGPT just run an affiliate network instead?49:44 MARKDOWN: Lizzie Lawley, Head of Applied AI at Memrise50:20 From pilot, to AI companion platform, to Wombat, to Memrise53:39 The system map: every input feeding the growth machine56:00 Core principles: context first, cheapest capable model, disagreement as a feature56:36 "Months of work in hours" — what it actually saved58:36 The loops: synthesis, experiment shaping, prototyping, build ticket, human gate1:00:41 Live demo: "It's just Slack, baby"1:03:10 How the agent gets fresh context every single night1:06:04 OpenClaw V1, then real engineers rebuilt it1:07:06 The failures: how expensive it got, real quick1:08:32 The model pricing tier system, tier by tier1:11:19 Where the user interviews actually live (it's Google Docs)1:13:59 The bot that spammed banana emojis, and what it taught her1:15:54 Claude Design as a starting point for growth people who can't design1:17:35 Why we skipped Hot Button this week1:18:27 ADAHOLIC: the rules1:20:22 Round 1: Ed Sheeran, a posh restaurant, and way too many forks1:23:33 Round 2: red key, blue key, and a luxury pitch1:26:23 Round 3: "Yo... where's Dukey?"1:29:03 Round 4: the Mother's Day one1:32:26 Round 5: the car ad Arnav paused a second too late1:35:14 Round 6: puffballs, chrome nails and woodworking1:39:07 Round 7: "a better everyday life for the many people"1:40:41 Victoria takes the crown on her first appearance1:41:54 CloseTHIS WEEK'S GUESTLizzie Lawley — Head of Applied AI at Memrise, co-founder of Wombat. She built a platform handling millions of simultaneous AI interactions with cost-efficient model routing, and now runs agent orchestration for Memrise's growth team. Her system pulls from transcripts, app reviews, Zendesk tickets, past experiment synthesis, Athena and BigQuery, and runs a nightly cron job so the agents never work off stale context. Methodology follows Bob Moesta's jobs to be done. The team calls it BYOB — bring your own Bobby.Ads featured in Adaholic this week: Heinz, Kia, Budweiser, Honda, Pinterest, IKEA.

On this week's episode of the podcast, I am joined by Maor Sadra, the co-founder and CEO of INCRMNTAL, to discuss the current cycle of M&A in digital advertising and the industry-wide shift toward intelligence-based measurement. Maor is well-positioned to discuss this topic, as INCRMNTAL was recently acquired by Smartly. Maor and I analyze how acquisitions are moving away from simple inventory reach toward deeper integration of data, identity, and causal signal. Among other things, we discuss:Why causal measurement is becoming a strategic necessity for large-scale creative and media optimization platformsHow the transition from legacy to AI-first companies creates opportunities for consolidation across the advertising stackWhether enterprise clients will prioritize deep domain expertise over general machine learning capabilities when selecting partnersIf the recent investment in AppsFlyer signals a permanent shift toward a collaborative industry-wide attribution infrastructureWhat the rise of zero-click platforms like ChatGPT means for traditional performance marketing metrics and modelsHow e-commerce and retail media giants are leveraging CTV acquisitions to challenge established advertising platformsWhen the current wave of AI-labeled startups will face the reality of high-volume performance requirementsThanks to the sponsors of this week's episode of the Mobile Dev Memo podcast:⁠⁠INCRMNTAL⁠⁠⁠. True attribution measures incrementality, always on.⁠Branch⁠. Branch is an AI-powered MMP, connecting every paid, owned, and organic touchpoint so growth teams can see exactly where to put their dollars to bring users in the door and keep them coming backInterested in sponsoring the Mobile Dev Memo podcast? Contact Mobile Dev Memo advertising.The Mobile Dev Memo podcast is available on:SpotifyYouTubeApple Podcasts

Can AI make founders more efficient without making business less human?Recorded around a real fireside, this special episode of Building The Brand brings together Ideas Fest founders Frankie James and Professor Dylan Jones-Evans OBE with $100M exited founder Andrew Hulbert for an honest conversation about entrepreneurship, artificial intelligence, business growth and founder loneliness in 2026.Connect with Ideas Fest:https://ideasfest.uk/Want more from Building The Brand? Connect here:https://buildingthebrand.co.uk/newsletterWith customers spending more carefully, operating costs remaining high and AI changing how companies work, Frankie, Dyan, Andrew and James discuss why building a successful business has become more challenging - but also why the right founders now have access to more powerful tools than ever before.They chat about why most businesses are barely scratching the surface of AI, how founders can use automation to remove repetitive administration and why simply using ChatGPT to create social media content is unlikely to provide a lasting competitive advantage.Plus Andrew shares the practical lessons behind building his business from a bedroom start-up into a business generating more than £50 million in annual revenue.KEY MOMENTS:0:00 — Welcome to Founders By The Fireside01:29 — The state of UK entrepreneurship in 202601:52 — How the cost-of-living crisis is affecting business03:52 — Using AI to automate business administration05:46 — Why most businesses are barely using AI properly06:11 — The businesses that will win in the AI era07:04 — The danger of building a business entirely on AI08:27 — Why AI is increasing demand for human connection10:04 — Why community-led business events are growing11:34 — Founder loneliness and the reality of entrepreneurship13:24 — Using networking events to build a personal brand16:40 — Growing Ideas Fest from 1,200 attendees20:39 — How the first Ideas Fest was launched22:13 — Why cancelling can sometimes be the right business decision24:56 — Why sustainable business scaling takes experience26:47 — The hidden costs of running a major business event31:07 — How entrepreneur awards can build credibility32:13 — Why founders need to escape their industry bubble33:18 — The power of networking across different industries35:53 — Why SMEs are critical to the UK economy38:38 — How to scale a business from £1m to £10m40:06 — Finding the founder skill you should go all in on40:54 — When founders need to start hiring and delegating41:16 — How £1m investment helped Pareto scale beyond £20m41:42 — Delegating without losing company culture43:54 — Using AI for finance, customer service and operations44:38 — What 25 years of fast-growth business data reveals45:20 — The three foundations of sustainable business growth45:53 — Why hiring and developing great people comes first46:08 — Managing cash and finance during business growth46:25 — Why customer retention beats customer acquisition48:11 — Growing your business alongside fast-growth customers48:48 — Working with ASOS, Deliveroo and Paddy Power Betfair52:16 — Why entrepreneurs should attend Ideas Fest53:30 — How founder communities combat business loneliness57:11 — Why accessibility makes Ideas Fest different59:48 — Why great businesses often start by solving your own problem

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Join host David Pisarek and dyslexia researcher and educator Russell Van Brocklen for a fascinating conversation about how neurodivergent thinking can help non-profits simplify their messaging, communicate more clearly, and create stronger connections with their audiences.In this episode of the Non-Profit Digital Success Podcast, Russell shares his personal journey with dyslexia and the communication methods he developed through years of research and education. He breaks down how universal themes can help organizations cut through complicated messaging and explains how tools like ChatGPT and Claude can support the process.Discover how to:Find the universal theme at the heart of your non-profit's message.Use neurodivergent thinking to approach communication from a different perspective.Leverage ChatGPT and Claude to brainstorm, refine, and strengthen your content.Create clearer messaging that builds an emotional connection with donors and supporters.Develop an AI workflow that combines technology with human expertise.Make your messaging more focused so your audience knows what action to take.Russell also challenges the idea that one AI prompt is enough. He shares his process for repeatedly reviewing and refining AI-generated content, while emphasizing the importance of experienced humans in producing the final result.Whether your non-profit is struggling to explain what it does, experimenting with AI, or looking for ways to make its communications more accessible and impactful, this episode offers a fresh perspective and practical ideas you can start testing right away.Tune in to "Neurodivergent Thinking Fixes Non-Profit Messaging with Russell Van Brocklen" to learn how a different way of thinking could lead to much clearer communication.

Today, this is what's important: Welding, boating, Catalina, drinking, diving, clogging toilets, ChatGPT, shedding & more... Get your tickets NOW to our live show in Ontario, Canada on Sept. 25th, 2026! Or go to TIITour.com for more info. Check out Sam Jay and Alex English's new show Look Back At It now! See omnystudio.com/listener for privacy information.

Before Alexa and Siri, there was ELIZA. The first chatbot ever was the creation of a man named Joseph Weizenbaum, who built the bot almost as a magic trick — and then couldn't believe how many people fell for it. David Berry and Mark Marino, two members of a team dedicated to restoring and understanding ELIZA, explain how Weizenbaum created the virtual conversant, why he came to regret it, and what ELIZA can teach us about life in the AI age. Further reading: Why your Amazon order confirmation emails have become so unhelpful David Ellison's ready to pull Paramount out of California What to expect from Google's 2026 Pixel hardware launch event The ELIZA Archaeology Project Inventing ELIZA: How the First Chatbot Shaped the Future of AI From Eliza to ChatGPT: the 60-year history of chatbots Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Should you use AI to write your sermon? Maybe not. Three years after ChatGPT, we don't just sound the same. We're starting to think the same, or not think at all. Enter brain rot. Carey walks through seven tells that give away AI writing, shows you how to find the voice only you have, and unpacks a new study on cognitive surrender that every pastor needs to hear before next Sunday's sermon.

Partner with Jay: https://www.jayschwedelson.com/contactㅤPre-order Jay Schwedelson's new book, Stupider People Have Done It (out June 9, 2026).All net proceeds are donated to The V Foundation for Cancer Research, let's kick cancer's butt: https://www.amazon.com/Stupider-People-Have-Done-Marketing/dp/1637635206ㅤSubscribe to Jay's newsletter for weekly marketing tips and tactics: https://www.jayschwedelson.com/newsletterㅤRegister for GuruConference (FREE + VIRTUAL!) https://www.guruconference.comㅤCheck out Eventastic (FREE + VIRTUAL!) https://www.eventastic.comㅤConnect with Jay on LinkedIn: https://www.linkedin.com/in/schwedelson/Check out Jay's YouTube channel: https://www.youtube.com/@schwedelsonCheck out Jay's Instagram: https://www.instagram.com/jayschwedelson/Ask Jay anything: https://www.jayschwedelson.com/askㅤLeave a comment and follow the show, it really helps us out!ㅤMASSIVE thank you to our Sponsor, CallRail!CallRail is the AI-powered lead intelligence platform that helps marketers prove exactly what's driving results. With CallRail, you can connect every call, text, chat, and form submission directly to the campaign that generated it so you finally know what's working and where to double down.Plus, with built-in AI conversation intelligence, CallRail analyzes your customer conversations, captures leads 24/7, and gives you deeper insights into what your prospects actually care about.If you're tired of guessing about your marketing ROI and want real data behind your campaigns, CallRail has you covered.Start a Free Trial Here: https://www.callrail.com/dothisㅤThe head of a social platform quietly telling you which video format to use is one thing. Doing it by filming himself on a walk is another, and Jay Schwedelson has the engagement numbers that explain why it lands. There's also a chatbot running with zero AI inside it, a European rulebook that just went live, and the first real look at who ChatGPT is actually serving ads to.ㅤBest Moments:(00:16) LinkedIn leadership is now openly modeling the content format the platform rewards.(01:20) The engagement lift walk and talks pull on personal pages versus company pages.(01:45) Someone got fed up with chatbots and built one with no AI behind it at all.(03:17) The EU AI Act is in effect now, and the labeling rule people are panicking about is not what they think.(04:30) New university research on which ChatGPT users are getting hit with the most ads.(05:45) Why a luxury beekeeping retreat for creators was the worst possible move for OpenAI.

This week we talk about Evo 2, bacteriophages, and antibiotics.We also discuss AI models, medical innovations, and the Red Army.Recommended Book: The Design of Everyday Things by Donald A. NormanTranscriptA bacteriophage, sometimes just called a phage, is a type of virus that only infects bacteria. “Phage” means to devour, and that's what bacteriophages do—they infect and replicate within bacteria that they target, injecting their own genome into that target's cytoplasm, which are all the materials contained within the bacteria's cell membrane.Phages are super-abundant, by some measures more abundant than every living organism, including bacteria, on earth, combined. And they're interesting in that they range from incredibly simple to quite complex, and have at times been used as alternatives to antibiotics, because they attack and feed on bacteria.The use of phages to counter bacterial infections was all but abandoned in the mid-20th century when antibiotics were discovered and commercialized, their production industrialized and the substances themselves proving a lot easier to mass-produce, and a lot more predictable in their utility than phages. Phages were kinda sorta almost understood, but we didn't really get what they were doing or why, so their application often felt more like folk remedies than real-deal science, despite the actual science underlying the practice.Also, phages were primarily used as antibiotic treatments by the Red Army, the Soviet Union's military. So throughout the West, which was rapidly scaling its production of antibiotic treatments, the use of bacteriophages was associated with Stalinist communism, and so the Red-scare, the demonization of anything associated with the Soviet Union, was partially responsible for the shelving of this approach and this realm of research, at least for a while.Much of that existing research was also done in the Soviet Union, and the published documents were thus published in Russian or Georgian languages. And because much of the rest of the scientific publishing world was reorienting around English at this time, that meant these published works were often either ignored or unintelligible to the rest of the scientific community.As with much of our microbiota, the invisibly small viruses, bacteria, archaea, and so on that make up the human microbiome, we have a general sense of how bacteriophages interact with some of what makes us, us, but only a general sense. We know that healthy individuals tend to contain a host of bacteriophages that people who have chronic conditions, like Crohn's disease or ulcerative colitis are less likely to have, for instance, and there's a chance that this lack is associated with those conditions—though each person's body composition is unique, and this facet of biology is still relatively obscure; we really don't know for certain what does what, because of how complex these interactions are.What I'd like to talk about today is a recent development in the world of bacteriophages, and why the researchers behind it are both celebrating their accomplishment, and warning about potential dangers associated with the same.—Back in 2025, a nonprofit called the Arc Institute, which has a stated goal of accelerating scientific progress and understanding the root causes of complex diseases, announced the release of a new language model, a new AI system, called Evo 2.The Evo family of foundation models—a foundation model being a type of AI model that's been trained on a huge corpus of data, but which is applicable for all sorts of purposes, including serving as the foundation of large-language models like ChatGPT or Claude—this family of foundation models is open-source and trained on raw genetic sequences, something like nine trillion nucleotides-worth of such sequences, making it distinct from other models in this space that have been trained on descriptions of biological systems, using human language.The initial version of Evo was released in early 2024, and the newest version, Evo 2, which is an upgraded version of the Evo 2 model that is more efficient, so it can be run on less powerful hardware, was released in February of 2026.So while many of the AI systems that non-biologists interact with on a regular basis have been trained on human language-based libraries, showing relationships and interactions between the words we use to communicate, these models have been trained on the fundamental building blocks of life; the nucleotides, Adenine, Thymine, Cytosine, and Guanine, ATCG of DNA, if you remember that from biology class, that are strung together into 64 different possible three-letter combinations. Chains of these nucleotides instruct cells to build proteins out of amino acids, and from that baseline, we get life.We also get non-living things like viruses, which have no cells, metabolism, or independent reproduction, and phages are viruses.And while other AI models have been shown to be great at designing proteins, before 2025 there was little evidence that such systems could design viable genomes: the combination of genetic information that makes up a complete, fully functional organism.That's what Arc decided to tackle with this Evo AI model. And back in 2025, Arc announced that it had successfully validated the first viable genome designs, created using generative AI.These designs were for 16 bacteriophages, which were modeled on a virus that infects E. coli bacteria, and some of them worked just as well or better at infecting E. coli when compared to the actual, real-world phage they were modeled on. They were produced in the real world, a bacteria coaxed into producing them, and then they went on to successfully gobble up the E. coli test subjects they were meant to gobble up, demonstrating that they worked in practice, not just theory.And a new paper published in early August of 2026 by the Arc Institute and Stanford University expounds upon this research, showing the results of an attempt to create entirely new viruses, not just altered existing viruses.Rather than mutating that E. coli gobbling phage, as with the last experiment, tweaking an existing virus, this time they tasked Evo 2 with modeling how that E. coli attacking and eating process works, and then told it to come up with entirely new viruses that operate on the same premise, but which are structured differently; new viruses that eat the same thing in a similar way, but which are distinct from the original model.Ultimately, it gave them 16 viable viruses of very different sizes and structure, all of which were created in a lab and successfully ate the targeted E. coli strain, as intended.This is being seen as a pretty big deal, because while creating viruses in a lab is very modern technology, and mutating those viruses shows a lot of potential for manipulating what we already know works and then tweaking virus behaviors to, perhaps, help us create new medical treatments, the ability to generate, from scratch, entirely new viruses that hold together, with genomes that don't just fall apart when they come into contact with the real world, and which can still do things, like attack bacteria—that opens a lot of new doors, potentially giving us the ability to say, okay, this bacteria is no longer responding to antibacterial drugs that we have available, so let's make a virus that will kill the bacteria instead, and let's make one that won't harm the human that's housing that bacteria.We might also be able to create phages that eat other things, or which in some other way help the human body, or other biological entities, fight off chronic conditions, or recover or rebalance; there's a lot of potential here, because this suggests AI systems trained on the right materials, on the building blocks of life, could generate all sorts of viable biological systems that we can then actually create. It's a huge step forward, compared to systems that are also impressive, but which mostly help us understand the biological world better—like Alphafold, which solved the protein folding problem.Those involved with this research have also been been flagging potential dangers with this development, though, including the potential for creating new viruses and other biological systems that could trigger unpredictable outcomes in other biological systems. There are a lot of potential hazards with this sort of research, and they've been very careful up till this point, sticking with test subjects that only target E. coli, but not everyone will necessarily be so careful, which might mean accidents, or it could mean people with less than benevolent intentions using these techniques to develop highly infectious viruses or other such pathogens; starting from smallpox to produce even more contagious and deadly ailments, for instance.The optimistic view of this research is that it could contribute to the surge in new discoveries and technologies that we're seeing around the world right now, that are resulting in new medical approaches and in some cases entirely new medical fields, which could help us do all sorts of things, including big-sky ambitions like curing cancer and doing away with chronic illnesses entirely.Like most major scientific developments, though, these are also big developments for those who might want to do harm, and it also creates new opportunities for very serious, dangerous, deadly accidents, which means we'll probably have to develop and implement more stringent safety protocols and regulatory efforts if we want to enjoy the full benefits of these innovations, without suffering significant new downsides, in the process.Show Noteshttps://press.asimov.com/articles/ai-phageshttps://arcinstitute.org/https://www.theguardian.com/science/2026/aug/06/safety-fears-as-scientists-make-first-viruses-designed-by-aihttps://www.bbc.com/news/articles/c5y3j3ngevmohttps://www.cnn.com/2026/08/06/health/ai-viruses-bacteriophageshttps://www.abc.net.au/news/2026-08-07/ai-models-design-viruses-not-found-in-nature-for-first-time/107007854https://www.wired.com/story/scientists-used-ai-to-create-16-new-viruses/https://www.science.org/doi/10.1126/science.aec2657https://en.wikipedia.org/wiki/Bacteriophagehttps://en.wikipedia.org/wiki/Evo_(AI)https://www.nytimes.com/2026/08/06/science/ai-viruses-bacteria-arc.html This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit letsknowthings.substack.com/subscribe

What does God think about ChatGPT and the impact of other emerging AI technology? Philosophy and Ethics professor, Dr. Jason Thacker, joins Kirk Cameron to discuss what Christians need to be aware of as ever-changing technological advancements take a more prevalent role in our daily lives. Don't miss this informative interview on Takeaways with Kirk Cameron on TBN! Missed the last episode? Listen in as Lysa TerKeurst discusses how to Biblically navigate betrayal and broken trust. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠WATCH Takeaways with Kirk Cameron episodes for free on TBN+⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! Each episode of Takeaways with Kirk Cameron features knowledgeable guests having a respectful and thoughtful conversation surrounding topics that are impacting our society every day. Kirk's hope is that you will walk away from this show with practical steps on how to better your family, your community, and your nation. Learn more about your ad choices. Visit megaphone.fm/adchoices

SED News is a monthly podcast from Software Engineering Daily where hosts Gregor Vand and Sean Falconer break down the biggest stories shaping software engineering, Silicon Valley, and the broader tech industry. In this episode, Gregor and Sean dig into a wave of “runaway AI” stories, including Anthropic and OpenAI disclosing that their models accessed outside organizations during cyber evaluations, and Amazon reporting a staggering budget overrun blamed on bad agent loops. They explore why most of these incidents trace back to human decisions rather than models breaking free, and the awkward reality that today’s systems can bill you for tokens without reliably counting them. They also talk about the “Kimi moment.” Moonshot AI‘s open weight model has closed the gap with frontier models like ChatGPT and Claude at a remarkable pace, and the hosts unpack what it means for open weight strategies and how chip scarcity is pushing Chinese labs to innovate. As always, the episode wraps up with a few standout Hacker News threads, including a JetBrains test of a “caveman speak” skill that promised big token savings, how refactoring can cut input token costs, the release of CodePen 2.0, and a build of Doom that renders through SQL queries.Sponsorship inquiries:sponsor@softwareengineeringdaily.com The post SED News: The Kimi Moment, Runaway AI, and Tokenmaxxing appeared first on Software Engineering Daily.

Your patients are asking ChatGPT what's wrong with them before they call your office, and getting an answer in seconds. In this episode, Tod Stillson, a board-certified family physician, medical device inventor, and health care entrepreneur, explains how AI chatbots became the new waiting room, and what that means for the doctor who used to be the first call. You will hear why patients turn to ChatGPT, Claude, and Gemini instead of waiting days for a reply, how AI companies are racing to own the front door of a system that is 20 percent of the economy, and why staying passive hands that ground away. Stillson makes the case that physicians can shape how these tools are governed, through medical advisory roles and digital health committees, so the guidance patients get is accurate. This episode is based on his article "AI chatbots and patient safety need physician design," published on KevinMD. Press play to hear why you are becoming the second opinion, and what you can actually do to stay in the patient journey. Partner with me on the KevinMD platform. With over three million monthly readers and half a million social media followers, I give you direct access to the doctors and patients who matter most. Whether you need a sponsored article, email campaign, video interview, or a spot right here on the podcast, I offer the trusted space your brand deserves to be heard. Let's work together to tell your story. PARTNER WITH KEVINMD → https://kevinmd.com/influencer SUBSCRIBE TO THE PODCAST → https://www.kevinmd.com/podcast

Quantum computing is roughly where AI was nine years ago. Dr. Nneka McGee has already taught it to five-year-olds — with a penny. Nneka is the founder of Muon Global, project lead and principal co-author of the Stanford Accelerator for Learning white paper "AI + Learning Differences," and the author of an ISTE Jump Start Guide on introducing AI to young learners. Her FETC session on quantum for educators is what convinced me this belonged on the show. Her argument is simple and hard to dodge: the technologies that will shape our students' careers are being built right now, states are investing hundreds of millions of dollars in them, and we are sending kids to college without the grounding to take those seats. As she puts it — there will be a breakthrough technology like ChatGPT in quantum at some point, and where will we be as educators if we didn't do what was necessary? Then she gets practical. You'll hear how she teaches superposition, entanglement, and coherence with materials already in your desk drawer. You'll hear about the plate with no nose — an image generator's mistake she turned into a full lesson on why AI still needs a human in the loop. And you'll hear about my own ninth grader, who worked out on her own that attackers could capture encrypted traffic today and decrypt it years from now once quantum arrives. That's a real, named threat, and she nailed it. In this episode: - Why quantum won't replace classical computing, and the problem it's actually built for - The encryption math that makes today's passwords a temporary arrangement - "The nerds before the herds" — the 2022 ISTE room with empty seats - Teaching quantum concepts to four- and five-year-olds - Why the awareness gap is the opportunity, not the obstacle Full show notes, every resource, and free unplugged activities you can use this week: https://www.coolcatteacher.com/e967  ⭐ If this show helps you teach, please leave a rating or review wherever you're listening. It's the single best way to help another teacher find us — and it takes about thirty seconds. Share this one with the teacher down the hall who thinks quantum is over their head. It takes a penny to prove otherwise.

Amazon keeps raising the bar. Steve Dennis and Michael LeBlanc open with the retailer's blockbuster quarter: massive gains in AWS and advertising, staggering AI capex, and retail revenue up 16% year over year, up from 12% last year. Third-party sellers now drive more than 60% of the business, and Citi pegs underlying GMV growth near 10%, roughly double the industry average. Amazon's B2B division alone now tops $60 billion, bigger than all but eleven U.S. retailers. Then the hosts dig into the agentic commerce numbers Amazon disclosed as Rufus folds into Alexa shopping, why sample bias demands caution here, and how grocery momentum is turning Amazon into a mega market-share threat.  Then: Shopify's revenue up 32%, and the tale-of-two-cities reality that a handful of giants now drive nearly all e-commerce growth. A mid-year check on Steve's Prediction #8 — luxury's future won't be evenly distributed. LVMH, Kering, and Capri lag on China softness and war induced Gulf weakness, while Hermès, Ralph Lauren, Richemont, and Zegna keep delivering outsized results. Live from the CommerceNext Growth Show: Kartik Hosanagar. He's Wharton's John C. Hower Professor of Technology and Digital Business, author of A Human's Guide to Machine Intelligence, and co-founder of Bliss Labs. His argument: the biggest shift in retail isn't a new technology or channel. It's a new customer. Treating AI as another distribution channel is the same mistake movie studios made with Netflix. There's no marketing science for AI yet. $9.99 pricing, scarcity, social proof — a model may not respond to any of it. Kartik walks through the Ridge wallet case: invisible in ChatGPT's "gifts for men" results, then the default recommendation within three weeks, complete with a hallucinated promotion. Every retailer faces the same fork: efficiency or meaning. The middle is the most dangerous place to stand. Kartik also details the simulation sandboxes that let brands test counterfactuals in a day instead of eight weeks, why you can't just ask an LLM why it picked a brand, and the three attitudes retailers need now: curious, experimental, collaborative Back in studio: Wayfair's encouraging quarter and Steve's change of heart, Warby Parker's mixed report as store count passes 400, tariff rebates ($100 billion of $160 billion already repaid, more tariffs looming), and whether live selling has hit its tipping point with QVC out of bankruptcy and Whatnot valued at $20 billion. About UsSteve Dennis is a strategic advisor and keynote speaker focused on growth and innovation, who has also been named one of the world's top retail influencers. He is the bestselling author of two books: Leaders Leap: Transforming Your Company at the Speed of Disruption and Remarkable Retail: How To Win & Keep Customers in the Age of Disruption. Steve regularly shares his insights in his role as a Forbes senior retail contributor and on social media.Michael LeBlanc is a senior retail advisor, keynote speaker and media entrepreneur. Michael has delivered keynotes, hosted fire-side discussions hosted senior retail executive on-stage in 1:1 interviews worldwide. Michael produces and hosts a network of leading retail trade podcasts, including The Remarkable Retail Podcast, The Voice of Retail, The Food Professor, The FEED powered by Loblaw and the Global eCommerce Leaders podcast. He has been recognized by the NRF as a global Top Retail Voice for 2025 and 2026 and continues to be a ReThink Retail Top Retail Expert for the fifth year in a row.

Scott sits with Christian, founder of Autopilot, about his extensive study on Amazon's AI shopping assistant (Alexa / Rufus) and how generative recommendations are fundamentally changing how products get discovered on and off Amazon. Christian explains that AI-driven shopping isn't just a replica of traditional search results, it also represents a distinct "third shelf" alongside organic search and paid advertising. Through a study analyzing over 110,000 search listings and 13,000+ Alexa recommendations, Christian discovered that 64% of Alexa's suggestions actually fall outside the top 10 organic search results. While top organic spots hold an advantage for the primary recommendation, deeper AI suggestions heavily favor long-tail products backed by strong star ratings (4+ stars), high sales velocity, and concise titles optimized for AI truncation. Furthermore, running PPC ads offers only a tiny chance of forcing an AI recommendation if the listing lacks strong underlying signals. The big takeaway is that AI discoverability operates as a holistic 360-degree ecosystem. Off-Amazon content on target sites, D2C stores, and deal forums heavily feeds engines like ChatGPT and Google AI. To win in the long run, brands must optimize their data infrastructure and create "agent-friendly" D2C content that AI bots can crawl, validate, and convert into citations and recommendations. Episode Notes: 00:00 – Christian's background 01:30 – How analyzing 15,000+ brands led to founding Autopilot 03:00 – Amazon unifying Rufus and Alexa under one shopping brand 04:30 – Why AI recommendation is Amazon's "third shelf" 06:00 – Methodology behind the 13,000+ Alexa recommendation study 07:30 – Alexa picks 09:30 – PPC reality check 11:00 – Category variations: Apparel vs. Health & Supplements 12:30 – What signals drive AI picks (ratings, sales velocity, title length) 14:30 – ChatGPT & Google Shopping 17:00 – Optimizing off-Amazon content for AI crawlers 19:00 – Tracking AI visibility using tools like Gumshoe, Peek, and Profound 21:00 – The scale of AI shopping: Over 100 million daily product searches 22:30 – How to connect with Christian and access the study report Related Post: Amazon Accelerate Coupon Code: Save $50 With SmartScout How to Reach Christian: Website: autopilotbrand.com LinkedIn: linkedin.com/in/umbach Scott's Links: LinkedIn: linkedin.com/in/scott-needham-a8b39813 X: @itsScottNeedham Instagram: @smartestseller YouTube: www.youtube.com/@smartestamazonseller2371 Newsletter: https://www.smartscout.com/newsletter-sign-up Blog: https://www.smartscout.com/blog

Send us Fan MailBack-to-school season has a way of turning even the most capable working mom into a full-time logistics manager. I'm Camille Walker, a mom of four with four different schools on the calendar this year, and I wanted a practical reset that doesn't require me to become superhuman. So I did something fun and surprisingly useful: I asked ChatGPT for back-to-school tips, then I tell you which ones I agree with, how I actually do them, and where real life needs a simpler plan. We get into the systems that reduce daily stress fast, starting with planning ahead using a family calendar. I share what's worked for me with scheduling tools, plus why a big printed, color-coded wall calendar can beat digital invites when kids don't live in email. We also talk meal prep for busy weeks, freezer and crock pot backups, snack bins, and keeping school lunches simple while still hitting the basics like protein, fruit, and a veggie. From there, we move into routines that support both kids and parents: mornings that build independence, after-school transitions that make homework less painful, and how to adjust when attention and energy tank later in the day. I also share my core message for working parents: delegate, ask for help, and don't carry it all alone, whether that means involving your kids, leaning on your partner, or even hiring a virtual assistant. We wrap with self-care that fits real life, staying flexible when the school year throws curveballs, saying no without guilt, and building stronger connection through check-ins and simple family meetings. If this helps, subscribe, share it with a friend who needs a calmer school year, and leave a five-star rating and review.Connect with Camille:Instagram: @CamilleWalker.coPodcast: @CallMeCEOPodcastTry the 5-minute routine tomorrow and tag @CallMeCEOPodcast on Instagram with your biggest takeaway.Schedule a free discovery call with Camille!https://calendly.com/callmeceopodcast/discovery-call-with-camille 

Follow me @samirkaji for my thoughts on the venture market, with a focus on the continued evolution of the VC landscape.Welcome back to another episode of Venture Unlocked, the podcast that takes you behind the scenes of the business of venture capital.In this episode, I sit down with Aditya Agarwal of South Park Commons (SPC) to trace his journey from being one of the earliest employees at Facebook, becoming CTO at Dropbox, and then the inspiration of creating South Park Commons from his living room. The firm just announced a $575MM IV, it's largest fund to date. We discuss his decision-making at key career forks including his learnings working with Mark Zuckerberg, the power of surrounding yourself with exceptional people, and the five founder traits SPC relentlessly optimizes for. We also covered what it means to invest at the -1 to zero stage, and his view on the current state of venture capital.Thanks for listening to another episode of Venture Unlocked. I hope you enjoyed this conversation with Aditya. If you'd like to get Venture Unlocked content straight to your inbox, go to ventureunlocked.substack.com and sign up, or head over to Apple Podcasts or Spotify and subscribe. Thanks again for listening.Aditya Agarwal is a General Partner at South Park Commons and a longtime technology leader and entrepreneur. He previously served as CTO and VP of Engineering at Dropbox, where he scaled the engineering organization from 25 to more than 1,000 people. Before Dropbox, Aditya was one of Facebook's earliest engineers, helping build foundational products including News Feed, Search, and Messenger before becoming the company's first Director of Product Engineering. Today, he invests in and advises early-stage startups, drawing on decades of experience building some of Silicon Valley's most influential technology companies.Topics in this conversation include:* Choosing Oracle Over Bridgewater (2:31)* First Impressions of Mark Zuckerberg and Early Facebook (6:02)* Lessons From Oracle on Talent Density and Bureaucracy (9:38)* Five Founder Traits SPC Looks For (13:14)* Growing the SPC Community and Early Angel Checks (22:33)* AI, ChatGPT, and Rethinking Fund Size (35:15)* Investing Ahead of the Curve in AI and Robotics (39:11)* Aiming for 5x Net Per Fund (41:04)* AI Compared to Railroads and Heavy Capex (46:07)* AI's High Usefulness Floor and Mass Adoption (49:10)* Concerns Around Hyperscaler Capex and Hiccups (52:01)* Closing Reflections and Takeaways (54:38)Follow me @SamirKaji and give me your insights and questions with the hashtag #ventureunlocked. If you'd like to be considered as a guest or have someone you'd like to hear from (GP or LP), drop me a direct message on X. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit ventureunlocked.substack.com

My Daily Anchors: A Morning Routine for Peace in Busy Seasons What keeps you grounded when every day looks different? As a mom, entrepreneur, and homeschooler, I've learned that I don't need a perfectly structured morning routine—I need a few simple anchors I can return to when life gets busy. In this episode of The Classy Career Girl Podcast, I'm sharing the daily practices that help me stay rooted in my faith, focused on my priorities, and present with my family. I'm taking you behind the scenes of my real morning routine, including: • How I start my day even when I don't have time to sit quietly • The three journaling questions that help me clear my head • How I create my daily priority list without expecting myself to finish everything • Why I sometimes use ChatGPT to organize my brain dumps and to-do lists • The simple nutrition and strength-training habits I'm working on • How I move from quiet morning time into the reality of homeschooling, work, chores, and family life • Why I focus on consistent anchors instead of a rigid schedule The biggest lesson I've learned is that a peaceful life doesn't come from controlling every hour of your day. Some days are still messy. Some mornings don't go according to plan. And I definitely don't accomplish everything on my list. But having a few familiar practices to come back to helps me reset, refocus, and remember what matters most. If you're a busy mom trying to balance your faith, family, work, health, and everything else on your plate, this episode is your reminder: you don't need a perfect routine. You just need a few anchors that bring you back to what matters.

How does a used car saleswoman go from brand-new to the business to earning more than $225,000 in ONE year? "It's not about selling. It's about solving a problem." – Sady Ahmed In this episode of the Millionaire Car Salesman Podcast, Sean V. Bradley sits down with top-performing salesperson Sady Ahmed of Koons Automotive to uncover the mindset, strategies, and customer-first approach behind her rise in automotive sales. "Every customer is different. You gotta be able to mirror them." – Sady Ahmed Sady has built a powerhouse business by dominating one of the toughest opportunities in the dealership: Special Finance and credit-challenged customers. But her success goes far beyond simply selling cars. She's built a system around trust, credit education, personal branding, referrals, repeat business, and turning customers who hear "NO" elsewhere into long-term relationships. "If you don't believe that you're the best, how are you going to get other people to believe that you're the best?" – Sady Ahmed Sean and Sady also explore how today's automotive sales professionals can leverage AI, ChatGPT, community involvement, social media, and smarter follow-up strategies to create more opportunities and separate themselves from the competition. "You want the community to support you, you've got to support the community." – Sean V. Bradley How did Sady build a $225K+ income without chasing a management title? What helped her reach a record-breaking 34 cars in a single month? And what can other salespeople learn from her approach to some of the most challenging customers in automotive? Find out how this used car saleswoman earns over $225K in ONE year and the strategies helping her build a career, customer base, and personal brand that continues to grow. If you're serious about selling more cars, generating more referrals, building your brand, and increasing your income in automotive sales, you need to hear this conversation! Key Takeaways: ✅ Credit Mastery: Understanding and mastering credit intricacies play a crucial role in closing deals with subprime clients. ✅ AI Utilization: Using AI tools like ChatGPT can streamline credit analysis and improve customer experiences by drafting dispute letters or enhancing credit advisories. ✅ Personal Branding: Building a personal brand through social media and community engagement is essential for long-term success in automotive sales. ✅ Partnership Opportunities: Collaborations with credit repair firms can be a strategic method to assist clients with challenging credit profiles. ✅ Client Education: Educating clients about credit improvement methods can lead to increased customer loyalty and repeat business.   About Sady Ahmed Sady Ahmed is a top-performing automotive sales consultant specializing in Special Finance at Koons Automotive of Fredericksburg. Since entering the car business in 2019 with no prior automotive experience, she has grown into a consistent 20-car-per-month producer, recently achieving a personal best of 34 vehicles sold in a single month. Known for her honest, relationship-first approach, Sady helps customers navigate challenging credit situations, build stronger financial plans, and find the right path to vehicle ownership. Her success comes from keeping it real, solving problems, and putting long-term customer relationships ahead of simply making a sale.     Unlocking the Potential of Special Finance in the Automotive Industry   Key Takeaways Understanding customer credit intricacies is integral for automotive sales success. Leveraging AI in credit analysis offers enhanced insights for customers with subprime profiles. Personal branding and community engagement are crucial for establishing a successful automotive sales career.   Navigating the Special Finance Ecosystem in Car Sales In the world of automotive sales, special finance remains a challenging but rewarding niche. As the conversation led by Sean V. Bradley with Sadie Ahmed highlights, excelling in this sector involves not just selling cars but mastering the intricacies of credit. Sadie's approach to her work exemplifies the seamless integration of credit counseling within automotive sales, recognizing the importance of being "on their side" for customers with subprime credit scores. Sadie's dedication to special finance stems from her genuine desire to assist people, particularly those deemed 'at risk' or subprime. "I just like helping people. So I feel like when I have a customer that comes to me and they are in that weird spot of like a 550 to a 650, that can change overnight," she asserts. For Sadie, automotive sales are less about pitching a sale and more about "solving a problem," a notion that echoes throughout the interview. This empathetic approach transforms what could be a high-pressure sales interaction into a supportive experience for her clients, setting a standard for the industry. Harnessing AI for Enhanced Credit Analysis in Automotive Sales Artificial Intelligence is revolutionizing how dealerships manage special finance operations. Sean Bradley emphasizes the potential of AI tools like ChatGPT in scrutinizing credit reports to advise clients effectively. "You can use, whether it's Claude or it's Google, Gemini or Chat GPT, or if your dealership has its own internal knowledge base, you could actually help Yourself and the prospect by using AI to analyze the credit bureau," Bradley affirms. The integration of AI doesn't stop at just analyzing credit. Sadie elaborates: "I've been doing this for about seven years. So I've learned what banks are looking for…and I've learned the nuances of how to get banks to overlook certain red flags if I can provide just the right context." With AI, sales professionals like Sadie can automate parts of the credit advice process, enhancing their ability to serve clients efficiently and improving the overall customer experience. In a competitive industry where the minutiae of financial history can make or break a sale, leveraging AI for credit analysis is a game-changer. It empowers car sales professionals to not only meet but exceed client expectations by providing insightful and actionable credit advice. Building a Personal Brand for Long-term Success in Automotive Sales Personal branding emerges as a powerful driver for success. Sadie Ahmed's journey evidences the power of building a personal brand rooted in reliability and expertise. Her mantra, "You incorporated," underlines the importance of self-belief and self-promotion. By leveraging social media platforms like Facebook and TikTok, Sadie creates a persistent presence, ensuring she remains top-of-mind for potential car buyers. Beyond digital interactions, Sadie highlights the value of community involvement. "I do sponsor a bunch of local events. I've sponsored some golf tournaments, base local baseball teams…," she shares, demonstrating her commitment to establishing relationships and goodwill within her community. This extends her brand's reach and cements her reputation as a trusted advisor, not just a salesperson. The world of automotive sales demands adaptability and innovative thinking. As Sadie Ahmed showcases, blending effective customer credit management with a robust personal brand paves the way for sustainable success. This approach, underscored by strategic engagement with global tech advancements such as AI, keeps industry professionals ahead of the curve. Ultimately, embracing a comprehensive understanding of client financial situations and utilizing technology not only transforms the customer experience but also empowers sales professionals to thrive in an ever-evolving market landscape.       Resources + Our Proud Sponsors:   ➼ Podium: The AI Platform Powering the Modern Dealership. From instant lead response to seamless test drive scheduling, Podium's AI Employee Jerry works 24/7 to turn every lead into a conversion, so your team can focus on closing. Trusted by thousands of dealerships nationwide and proudly featured on the Millionaire Car Salesman Podcast. Learn how Podium can help you sell more cars, book more service appointments, and grow your dealership. Discover how Podium's innovative AI technology can unlock unparalleled efficiency and drive your dealership's sales to new heights. Visit www.podium.com/mcs to learn more!   ➼ The Millionaire Car Salesman Facebook Group: Join the #1 Automotive Sales Mastermind Facebook Group with over 29,000 automotive professionals worldwide. The Millionaire Car Salesman Facebook Group is the go-to community for car salespeople, BDC agents, sales managers, general managers, and dealer principals looking to increase performance, income, and leadership skills. Inside the group, members collaborate daily on automotive sales strategies, lead handling, phone scripts, closing techniques, CRM best practices, dealership leadership, and accountability systems. Learn directly from top automotive trainers, industry mentors, and high-performing sales leaders who are actively winning in today's market. If you're serious about growing your automotive career, increasing car sales, and building long-term success, join The Millionaire Car Salesman Facebook Group today! ➼ Dealer Synergy: Dealer Synergy is the automotive industry's #1 Sales Training, Consulting, and Accountability Firm, with over 20 years of proven dealership success nationwide. We specialize in helping car dealerships increase sales, improve processes, and build high-performing Sales, Internet, and BDC departments from the ground up. Our expertise includes automotive phone scripts, rebuttals, CRM action plans, lead handling strategies, BDC workflows, Internet sales processes, management training, and accountability systems. Dealer Synergy partners directly with dealership leadership to align people, process, and technology, ensuring consistent results and scalable growth. From independent dealers to large dealer groups and OEM partnerships, Dealer Synergy delivers measurable performance improvements, stronger teams, and sustainable profitability. ➼ Bradley On Demand: Bradley On Demand is the automotive industry's most advanced interactive training, tracking, testing, and certification platform for car dealerships — built to develop top-performing teams across Sales, Internet Sales, BDC, CRM, Phone Skills, Leadership, and Management. In addition to LIVE virtual automotive training classes and a library of 9,000+ on-demand dealership training modules, Bradley On Demand now includes AI Phone Roleplaying and Coaching to help salespeople and BDC agents practice real dealership conversations before they ever get on the phone with customers. This AI-powered roleplay technology strengthens phone scripts, objection handling, appointment setting, lead follow-up, and closing skills, while providing measurable coaching feedback for continuous improvement. Bradley On Demand empowers dealerships to train faster, coach smarter, improve call performance, increase closing ratios, and sell more cars more profitably — all through structured, trackable, modern automotive training.

She’s baaaack… RHUGT is finally here and so is Nene Leakes! We are calling out Teresa because ChatGPT tells us something different… Who is REALLY the most iconic Housewife? Plus, Tamra gives the insight scoop on what really when down at The (not so) Quiet Woman. See omnystudio.com/listener for privacy information.