1 day ago

84 Percent of Shopping Still Happens Offline - Bryan Weisberg Explains Why

AI for retail businesses is changing faster than most independent shop owners can track, and this episode breaks down exactly how. Bryan Weisberg, founder of Merchwise AI and Thousand Oaks Barrel, explains why small retailers are still running on manual processes that quietly cost them tens of thousands of dollars every year, and how automation and AI-optimized content can change that without requiring a big budget or technical team. Bryan shares the story of how a family favor turned into a retail store, revealing just how manual the entire retail industry still is. The conversation covers the ROPO effect, why 84% of purchases still happen offline, how to write product content that speaks to both customers and AI search engines, and why AI should be understood as an organizer of human intelligence rather than a replacement for it. 📧💌📧 Tune in to get my thoughts and all episodes. Don't forget to subscribe to our Newsletter: beginnersguideto.ai 📧💌📧 About Dietmar FischerDietmar Fischer is a podcaster and AI marketer from Berlin.If you want help with AI strategy or digital marketing, visit: argoberlin.com Quotes from the Episode🎙️ "AI is just gathering all of our intelligence and just cleaning it up for us… it's just the janitor of the world." 🎙️ "Only 16% of all products are purchased online… you have 84% that are being purchased in stores." 🎙️ "AI can out-game a person, but it can't out-think a person." Chapters00:00 Opening 00:26 From e-commerce roots to accidentally buying a retail store 04:56 Why small retail is still stuck in manual processes 07:53 The ROPO effect and why most shopping still happens offline 09:53 Writing product content that speaks to search engines and AI 19:58 Why AI is just the janitor of human intelligence 34:49 Thousand Oaks Barrel, product innovation, and the Terminator question Where to Find the GuestWebsite: MerchwiseAI.comLinkedIn: linkedin.com/in/bryanweisberg/Company: Merchwise AI / Thousand Oaks BarrelBook: "The Future of Main Street" - thefutureofmainstreet.com Thank you for listening 🙏 If this episode gave you a new way to think about retail and AI, share it with someone who owns a shop or runs a small business. 🛍️🤖 Hosted on Acast. See acast.com/privacy for more information.

3 days ago

The Hidden Cost of AI in Science - Joy Moore & Kent Anderson

AI in scientific publishing is changing what researchers trust, what journals reward, and what the public thinks counts as evidence. In this episode, Joy Moore and Kent Anderson unpack how the internet pushed science publishing toward scale, how open access changed incentives, and how paper mills, predatory publishers, and AI slop made the scientific record harder to defend. They also explain why LLMs create a new problem on top of an old one. Once scientific papers are copied, summarized, remixed, and scattered across preprints, accepted manuscripts, and published versions, it becomes much harder to correct errors or retract bad information. For science, that is not a small technical issue. It is a trust issue. For business leaders, researchers, and anyone using AI tools to make decisions, this episode is a reminder that source quality still matters. Not every paper is useful. Not every signal is reliable. And not every “science” product deserves your trust. Newsletter📧💌📧 Tune in to get my thoughts and all episodes. Don't forget to subscribe to our Newsletter: beginnersguideto.ai 📧💌📧 About Dietmar FischerDietmar Fischer is a podcaster and AI marketer from Berlin. If you want help with AI strategy or digital marketing, visit: argoberlin.com/ Quotes from the Episode“The advertising was the internet’s original sin.”“You can either find it, or you can make it.”“We called it the automated box of confusion.” Chapters00:00 Opening and episode framing 01:57 How internet incentives changed scientific publishing 06:38 Fake diseases, preprints, and downstream AI ingestion 10:47 AI slop, fake citations, and abused data sets 16:48 Why public-facing science deserves suspicion 24:08 Centralized AI versus decentralized science 34:29 What can still be fixed in publishing 42:29 Where to find the guests and the book Where to Find Joy and Kent?Official site: disruptedscience.com Podcast: disruptedscience.podbean.com Book: How the Internet Disrupted Science by Kent Anderson and Joy Moore, published by Globe Pequot / listed by Simon & Schuster, just out now 🚀 Get it wherever you get your books! LinkedIn: Joy Moore: linkedin.com/in/joy-moore-a94865Kent Anderson: linkedin.com/in/kentranderson Hosted on Acast. See acast.com/privacy for more information.

5 days ago

We Humans Have All Those Layers The AI Has Not // Dietmar’s Thoughts

In this episode of Beginner’s Guide to AI, Dietmar Fischer explores a powerful business idea: people have layers, AI does not. We adapt naturally to different situations. We speak one way with friends, another with family, another in leadership, and another in debate. That flexibility is one of the biggest human advantages in the age of AI. Dietmar uses examples from debate clubs, identity, and online behavior to show why context matters. AI can be precise and logical, but it does not automatically shift between emotional, personal, and professional layers the way people do. For founders, marketers, and executives, that makes communication a strategic skill, not just a soft skill. The episode connects directly to AI leadership, human centered AI, AI communication strategy, and the growing need for human capability in AI driven organizations. 📧💌📧 Tune in to get my thoughts and all episodes, don’t forget to subscribe to our Newsletter: beginnersguideto.ai 📧💌📧 About Dietmar Fischer: Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, contact him at argoberlin.com Quotes from the Episode: “We as persons have layers.”“The AI does not have those layers.”“The AI at the moment just has this intellectual layer.”“It always communicates in a logical way.”“The better we are in this, the better we can communicate.”“This is one of the things where we really have an advantage.” The key takeaway is simple: AI can help with output, but human communication still wins on nuance, empathy, and context. Use that advantage well. Hosted on Acast. See acast.com/privacy for more information.

7 Aug

Why Vibe Coding Enhances Productivity - And Why Naga Santosh Wrote A Whole Book About It. // REPOST

5 Aug

Stop Chasing Sovereign Models, Start Building AI Advantage // Dietmar's Opinion

In this episode, Dietmar Fischer asks a question that sounds political at first, but quickly becomes a business decision: should you use the best AI model available, or the model that comes from your own country or region? He explores AI sovereignty, speed, open-weight models, frontier models, data lock-in, and why Europe, the U.S., and the broader AI market may be heading in different directions. The result is a sharp, practical episode about AI strategy, model choice, and what really creates competitive advantage. The episode also looks at the real trade-offs behind local deployment, cloud usage, and open-weight systems. Dietmar argues that the model itself is only one piece of the puzzle, and that the bigger question is whether your data, workflows, and use cases are strong enough to make AI actually useful. If you care about AI sovereignty, AI governance, open-weight AI models, frontier models, and the future of business AI, this episode is for you. 📧💌📧 Tune in to get my thoughts and all episodes, don't forget to subscribe to our Newsletter: beginnersguideto.ai 📧💌📧 Quotes from the Episode “AI sovereignty doesn’t make sense.”“It’s a game of competition.”“Even bigger part than the ability of the LLM is your data.” About Dietmar Fischer: Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com Chapters 00:00 AI Sovereignty or Speed? 02:02 Three Levels of AI Control 05:37 Money, Data, and Lock-In 08:24 Europe, Mistral, and the Model Gap 10:15 Why Models Become Commodities 13:11 Business Value Beats National Pride This episode closes with a direct challenge to the way people think about AI strategy. The best model is not always the most sovereign one, and the most sovereign one is not always the best business choice. Sometimes the real advantage comes from using the tools that work, building around your own data, and moving fast enough to stay competitive. Hosted on Acast. See acast.com/privacy for more information.

3 Aug

Reward Hacking: Your AI Isn't Broken, But Your Brief Is.

How AI systems learn to satisfy the number you wrote down while quietly abandoning the goal you actually had, and why that failure is a specification problem rather than a technology problem. Hosted on Acast. See acast.com/privacy for more information.

1 Aug

OpenAI Hacked HuggingFace - And Didn't Even Know About It // Dietmar's Opinion

📧💌📧 Tune in to get my thoughts and all episodes, don’t forget to subscribe to our Newsletter: beginnersguideto.ai 📧💌📧 In this episode of Beginner’s Guide to AI, Dietmar Fischer reacts to the OpenAI and Hugging Face incident and explores what it says about AI security, autonomous systems, and the growing need for AI governance. What happens when a model starts acting in the real world without supervision? How much control do we really have once AI systems can touch other systems, scan for information, and operate with more independence than expected? Dietmar connects the incident to bigger questions around AI regulation, commercial pressure, and the difference between innovation and recklessness. He also compares the situation to Chernobyl, arguing that the real danger is not only technical failure, but human arrogance, weak safeguards, and a false belief that everything will work out. Along the way, he looks at situational awareness, open models versus commercial models, and why businesses need to think more seriously about guardrails, risk, and responsibility. Quotes from the Episode "How prepared are you?" "Nerds driven by commercial interests.""We play with nuclear power.""This is the situation.""It’s problematic.""People have to work together." About Dietmar Fischer: Dietmar is a podcaster and AI marketer from Berlin. If you want to know how to get your AI or your digital marketing going, just contact him at argoberlin.com Hosted on Acast. See acast.com/privacy for more information.

30 Jul

Prompting Is 2025. In 2026, We Should Let The AI Prompt // REPOST

A Beginner's Guide to AI

84 Percent of Shopping Still Happens Offline - Bryan Weisberg Explains Why

The Hidden Cost of AI in Science - Joy Moore & Kent Anderson

We Humans Have All Those Layers The AI Has Not // Dietmar’s Thoughts

Why Vibe Coding Enhances Productivity - And Why Naga Santosh Wrote A Whole Book About It. // REPOST

Stop Chasing Sovereign Models, Start Building AI Advantage // Dietmar's Opinion

Reward Hacking: Your AI Isn't Broken, But Your Brief Is.

OpenAI Hacked HuggingFace - And Didn't Even Know About It // Dietmar's Opinion

Prompting Is 2025. In 2026, We Should Let The AI Prompt // REPOST

About

Information

You Might Also Like

A Beginner's Guide to AI

Episodes

84 Percent of Shopping Still Happens Offline - Bryan Weisberg Explains Why

The Hidden Cost of AI in Science - Joy Moore & Kent Anderson

We Humans Have All Those Layers The AI Has Not // Dietmar’s Thoughts

Why Vibe Coding Enhances Productivity - And Why Naga Santosh Wrote A Whole Book About It. // REPOST

Stop Chasing Sovereign Models, Start Building AI Advantage // Dietmar's Opinion

Reward Hacking: Your AI Isn't Broken, But Your Brief Is.

OpenAI Hacked HuggingFace - And Didn't Even Know About It // Dietmar's Opinion

Prompting Is 2025. In 2026, We Should Let The AI Prompt // REPOST

About

Information

You Might Also Like