Podcasts about Technical

Are you ready to take your podcast from a passion project to a monetization-based international business advertising/marketing tool? In this comprehensive episode, host Favour Obasi-ike, MBA, MS delivers an in-depth masterclass on leveraging podcast SEO and monetization strategies for international business growth. This session is the final installment in a series focused on helping podcasters and business owners build sustainable, globally-reaching content strategies.Favour explores the critical intersection of podcasting, search engine optimization, and international business development. The episode covers essential topics including multilingual content localization, performance benchmarks, download metrics, and how to position podcasts for passive monetization through advertising networks.Key highlights include real-world success stories from clients who have transformed their podcasts into powerful SEO assets, including a case study of turning 50 podcast episodes into 50 optimized blog posts that now rank on Google's AI-powered search results. Favour also demonstrates how his own podcast appears in Google's featured snippets and AI mode results, providing concrete proof of the strategies discussed.The episode features interactive discussions with community members Juliana, Celeste, and others who share their own experiences with SEO implementation, AI optimization (AIO), and the tangible business results they've achieved. Juliana shares an exciting success story about landing a major client through Google Gemini recommendations, directly attributable to SEO work completed three years prior with FavourThis episode is essential listening for podcasters, content creators, coaches, consultants, and international business owners who want to understand how to build long-term digital assets, increase discoverability across global markets, and create multiple revenue streams through strategic content optimization.Need to Book An SEO Discovery Call for Advertising or Marketing Services?>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book a Complimentary SEO Discovery Call with Favour Obasi-Ike⁠>> Visit Work and PLAY Entertainment website to learn about our digital marketing services>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our exclusive SEO Marketing community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Read SEO Articles>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to the We Don't PLAY Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Purchase Flaev Beatz Beats OnlineWhat You'll Learn:International SEO Fundamentals: How to optimize your podcast content for multiple languages, regions, and search engines (Google.com, Google.co.uk, and beyond).Monetization Metrics That Matter: Understanding downloads vs. unique listeners, 7-day and 30-day performance benchmarks, and what advertising networks look for.Multilingual Content Strategy: Leveraging localization and translation features to expand your audience across different cultures and languages.Podcast-to-Blog Conversion: The proven method of turning podcast episodes into SEO-optimized blog posts that rank on Google and drive traffic back to your audio content.AI Optimization (AIO): How to position your content to appear in Google's AI mode, featured snippets, and AI-powered recommendation engines like Google Gemini.Real Results: Case studies including a client whose emotional coaching podcast now ranks on Google, and a CPA who landed a major client through Gemini AI recommendations.Long-Term Asset Building: Why SEO is a marathon, not a sprint, and how work done today pays dividends for years to come.Detailed Episode TimestampsIntroduction & Overview (00:00 - 05:55) 00:00 - 00:13: Episode title: "Podcast SEO Monetization for International Businesses". 00:13 - 00:45: Welcome and call to subscribe to We Don't Play Podcast. 00:45 - 01:27: Overview: International business connections through podcasting. 01:27 - 02:31: Performance benchmarks: Downloads vs. unique listeners, measuring success. 02:31 - 03:33: Building sustainable growth and niche dominance. 03:33 - 04:48: Multilingual content and localization strategies. 04:48 - 05:55: International perspective: Moving beyond regional thinking.International SEO Strategy (05:55 - 10:03) 05:55 - 06:58: Analytics insights: Tracking international audience growth. 06:58 - 08:04: Case study introduction: Client success with emotional coaching podcast. 08:04 - 09:09: Turning 50 podcast episodes into 50 SEO-optimized blogs. 09:09 - 10:03: Podcast-to-blog strategy and long-term asset building.Content Conversion & Client Success Stories (10:03 - 15:00) 10:03 - 11:00: Amazon book-to-podcast conversion strategy. 11:00 - 12:00: Passive vs. active content consumption patterns. 12:00 - 13:00: Multi-platform distribution: Spotify, Apple Podcasts, YouTube. 13:00 - 14:00: Clubhouse as a content creation and community building platform. 14:00 - 15:00: Real-time engagement and relationship building.Technical SEO Implementation (15:00 - 20:00) 15:00 - 16:00: Search engine algorithms and content discoverability. 16:00 - 17:00: Metadata optimization for podcasts. 17:00 - 18:00: Location-specific SEO strategies. 18:00 - 19:00: Building booking systems and conversion pathways. 19:00 - 20:00: Creating "red carpet" experiences for potential clients.Monetization Strategies (20:00 - 25:00) 20:00 - 21:00: Advertising network requirements and download thresholds. 21:00 - 22:00: Passive income through podcast monetization. 22:00 - 23:00: Building credibility through consistent content. 23:00 - 24:00: Long-term revenue stream development. 24:00 - 25:00: International market opportunities.Community Engagement & Live Discussion (25:00 - 30:00) 25:00 - 26:22: Community building on Clubhouse since 2020. 26:22 - 27:40: Prayer and intentionality in content creation. 27:40 - 28:40: Daily room commitment and audience engagement. 28:40 - 29:19: Juliana's Success Story: Landing a major CPA client through Google Gemini. 29:19 - 30:00: AI Optimization (AIO) and its importance.AI-Powered Search Results (30:00 - 35:00) 30:00 - 31:11: SEO as a long-term investment: Results from work done 3 years ago. 31:11 - 32:30: Live Demonstration: Host's podcast appearing in Google AI mode with timestamp references. 32:30 - 33:50: Dual focus: Local search dominance + global revenue streams. 33:50 - 34:30: International markets and currency considerations (Shopify example). 34:30 - 35:00: Technical factors: IP address, API, LLM, search history.Actionable Strategies & Takeaways (35:00 - 39:07) 35:00 - 35:50: Being intentional about topics of interest. 35:50 - 36:20: Importance of independent research and validation. 36:20 - 37:18: Celeste's Reflection: Community value and 2026 goals. 37:18 - 38:00: Top 3 priorities: Booking system, financial management, business structure. 38:00 - 38:46: Encouragement and resources for implementation. 38:46 - 39:07: Closing remarks and invitation to daily rooms.This episode is perfect for:Podcasters looking to monetize their content.International business owners seeking global visibility.Coaches and consultants building authority online.Content creators wanting to maximize their reach.Marketers interested in AI optimization strategies.Episode Tags/KeywordsPodcast SEO, International Business, Podcast Monetization, Multilingual Content, Content Localization, AI Optimization, AIO, Google Gemini, Featured Snippets, Download Metrics, Passive Income, Content Repurposing, Blog Strategy, Digital Marketing, Search Engine Optimization, Global Revenue Streams, Podcast Analytics, Advertising Networks, Authority Building, Long-term Strategy, Clubhouse Marketing, Community Building, Business Growth, Online Visibility, International Markets.Target AudiencePodcasters seeking monetization strategies.International business owners.Digital marketers and SEO professionals.Coaches and consultants.Content creators and influencers.Entrepreneurs building online presence.Small business owners expanding globally.Marketing professionals learning AI optimization.Anyone interested in passive income through content.This episode is part of the We Don't PLAY!™️ Podcast series, hosted by Favour Obasi-Ike, focusing on practical digital marketing strategies for business growth.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode, Dave and Jamison answer these questions: Listener Tom says, I'm a software developer with six years experience, mostly at small startups with engineering teams anywhere between 2 and 10 developers. Because these startups have been small, most of the interviews were really casual. I'd speak to either the CEO, or CTO about my past experience, and we would talk about the direction the company was heading, and whether I'd be interested in joining. They felt less like interviews, and more like free-flowing conversations. I'm now back on the market, and I'm looking at larger, more established tech companies. I can get past the tech interviews just fine, but I'm struggling with the soft-skills interviews. Compared to what I'm used to they're a lot more structured and it feels like they're looking for answers that fit a certain criteria and format. What advice would you give to someone used to interviewing at small startups, but now interviewing at larger companies? I took an unpaid full stack internship role at a new non-profit, and it turned out to be a team completely made of other interns. There isn't a single experienced engineer on the team. I have gone way deeper than originally intended and am now functionally a founding engineer where the founder pretends I'm a lead engineer and calls me an intern. The founder is also hellbent on having the highest development velocity, and sometimes will contribute their own AI-generated code, often bypassing the review process especially for things I'm not comfortable signing off on like an AI-generated TOS and user agreement. I recently learned that the founder is not viewed highly in their local area after a scandal where they were accused of scamming a large sum of money, which is likely why they are doing their free community projects they started now in order to save face. This has backfired, and now people are calling their projects “AI generated schemes” despite the services being completely free. I'm not sure if I should continue contributing to these projects anymore. Since the founder rushes things to get done, walks through legal areas with their AI “lawyer,” and has a bad image, I'm worried about whether my resume will be taken seriously by potential future employers. Should I continue working for this person or is the experience not worth it?

An exciting, new 2-row winter variety coming out of Virginia Tech, the advantages winter barley brings to growers, maltsters, and brewers, the challenges ahead, and how you can get involved. Special Guests: Ashley McFarland, Nicholas Santantonio, Trey Hill, and Zach Gaines.

Zevi Arnovitz is a product manager at Meta with no technical background who has figured out how to build and ship real products using AI. His engineering team at Meta asks him to teach them how he does what he does. In this episode, Zevi breaks down his complete AI workflow that allows non-technical people to build sophisticated products with Cursor.We discuss:1. The complete AI workflow that lets non-technical people build real products in Cursor2. How to use multiple AI models for different tasks (Claude for planning, Gemini for UI)3. Using slash commands to automate prompts4. Zevi's “peer review” technique, which uses different AI models to review each other's code5. Why this might be the best time to be a junior in tech, despite the challenging job market6. How Zevi used AI to prepare for his Meta PM interviews—Brought to you by:10Web—Vibe coding platform as an APIDX—The developer intelligence platform designed by leading researchersFramer—Build better websites faster—Episode transcript: https://www.lennysnewsletter.com/p/the-non-technical-pms-guide-to-building-with-cursor—Archive of all Lenny's Podcast transcripts:https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Zevi Arnovitz• X: https://x.com/ArnovitzZevi• LinkedIn: https://www.linkedin.com/in/zev-arnovitz• Website: https://zeviarnovitz.com—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Zevi Arnovitz(04:48) Zevi's background and journey into AI(07:41) Overview of Zevi's AI workflow(14:41) Screenshare: Exploring Zevi's workflow in detail(17:18) Building a feature live: StudyMate app(30:52) Executing the plan with Cursor(38:32) Using multiple AI models for code review(40:40) Personifying AI models(43:37) Peer review process(45:40) The importance of postmortems(51:05) Integrating AI in large companies(53:42) How AI has impacted the PM role(57:02) How to improve AI outputs(58:15) AI-assisted job interviews(01:02:57) Failure corner(01:06:20) Lightning round and final thoughts—Referenced:• Becoming a super IC: Lessons from 12 years as a PM individual contributor | Tal Raviv (Product Lead at Riverside): https://www.lennysnewsletter.com/p/the-super-ic-pm-tal-raviv• Wix: https://www.wix.com• Building AI Apps: From Idea to Viral in 30 Days: https://www.youtube.com/watch?v=j2w4y7pDi8w• Riley Brown on YouTube: https://www.youtube.com/channel/UCMcoud_ZW7cfxeIugBflSBw• Greg Isenberg on YouTube: https://www.youtube.com/@GregIsenberg• Bolt: https://bolt.new• Inside Bolt: From near-death to ~$40m ARR in 5 months—one of the fastest-growing products in history | Eric Simons (founder and CEO of StackBlitz): https://www.lennysnewsletter.com/p/inside-bolt-eric-simons• Lovable: https://lovable.dev• Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (co-founder and CEO): https://www.lennysnewsletter.com/p/building-lovable-anton-osika• StudyMate: https://studymate.live• Dibur2text: https://dibur2text.app• Claude: https://claude.ai• Everyone should be using Claude Code more: https://www.lennysnewsletter.com/p/everyone-should-be-using-claude-code• Bun: https://bun.com• Zustand: https://zustand.docs.pmnd.rs/getting-started/introduction• Cursor: https://cursor.com• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Wispr Flow: https://wisprflow.ai• Linear: https://linear.app• Linear's secret to building beloved B2B products | Nan Yu (Head of Product): https://www.lennysnewsletter.com/p/linears-secret-to-building-beloved-b2b-products-nan-yu• Cursor Composer: https://cursor.com/blog/composer• Replit: https://replit.com• Behind the product: Replit | Amjad Masad (co-founder and CEO): https://www.lennysnewsletter.com/p/behind-the-product-replit-amjad-masad• Base44: https://base44.com• Solo founder, $80M exit, 6 months: The Base44 bootstrapped startup success story | Maor Shlomo: https://www.lennysnewsletter.com/p/the-base44-bootstrapped-startup-success-story-maor-shlomo• v0: https://v0.app• Everyone's an engineer now: Inside v0's mission to create a hundred million builders | Guillermo Rauch (founder & CEO of Vercel, creators of v0 and Next.js): https://www.lennysnewsletter.com/p/everyones-an-engineer-now-guillermo-rauch• Cursor Browser mode: https://cursor.com/docs/agent/browser• Google Antigravity: https://antigravity.google• Grok: https://grok.com• Zapier: https://zapier.com• Airtable: https://www.airtable.com• Build Your Personal PM Productivity System & AI Copilot: https://maven.com/tal-raviv/product-manager-productivity-system• The definitive guide to mastering analytical thinking interviews: https://www.lennysnewsletter.com/p/the-definitive-guide-to-mastering-f81• AI tools are overdelivering: results from our large-scale AI productivity survey: https://www.lennysnewsletter.com/p/ai-tools-are-overdelivering-results-c08• Yaara Asaf on LinkedIn: https://www.linkedin.com/in/yaarasaf• The Pitt on Prime Video: https://www.amazon.com/The-Pitt-Season-1/dp/B0DNRR8QWD• Severance on AppleTV+: https://tv.apple.com/us/show/severance/umc.cmc.1srk2goyh2q2zdxcx605w8vtx• Loom: https://www.loom.com• Cap: https://cap.so• Supercut: https://supercut.ai...References continued at: https://www.lennysnewsletter.com/p/the-non-technical-pms-guide-to-building-with-cursor—Recommended books:• The Fountainhead: https://www.amazon.com/Fountainhead-Ayn-Rand/dp/0451191153• Shoe Dog: A Memoir by the Creator of Nike: https://www.amazon.com/Shoe-Dog-Memoir-Creator-Nike/dp/1501135910• Mindset: The New Psychology of Success: https://www.amazon.com/Mindset-Psychology-Carol-S-Dweck/dp/0345472322—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Chuck and Chris respond to listener submitted questions regarding cubital tunnel decompression and ulnar nerve transposition.  We also discuss some nuanced cases of thumb UCL injuries.We are in need of a podcast intern!  We would appreciate any referrals!See www.practicelink.com/theupperhand for more information from our partner on job search and career opportunities.The Upper Hand Podcast is sponsored by Checkpoint Surgical, a provider of innovative solutions for peripheral serve surgery. To learn more, visit https://checkpointsurgical.com/.As always, thanks to @iampetermartin for the amazing introduction and concluding music.For additional links, the catalog.  Please see https://www.ortho.wustl.edu/content/Podcast-Listings/8280/The-Upper-Hand-Podcast.aspx

Conversion Monthly - The panel kicks off 2026 with predictions on AI-driven creative workflows, agentic shopping behaviours, and the tools reshaping Amazon seller operations. Host: Danny McMillan Panel: Sim Mahon, Dorian Gorski, Matt Kostan Episode Summary The newly rebranded Conversion Monthly show returns with its expert panel to discuss 2026 predictions for Amazon creative optimisation. The conversation covers how AI workflows have evolved since early 2025, with Dorian noting how N8N has become significantly more accessible through built-in AI assistants. Sim shares that his team can now create final, upload-ready main images in a single AI generation. The panel discusses agentic shopping and how AI-driven product discovery may fundamentally change conversion optimisation. Matt highlights the trend toward hyper-specific product positioning, where sellers create separate ASINs for the same product targeting different demographics. Danny introduces Claude's new Co-Work feature as a significant leap that removes technical barriers for sellers wanting to build automations. The panel agrees that "human in the loop" will be the defining phrase of 2026. Sim reveals his investment in 51 Folds, a prediction platform using Bayesian networks. Key Takeaways One-shot main images are now reality - AI image generation has reached the point where final, upload-ready Amazon images can be created in a single prompt Hyper-specific product positioning is trending - creating separate ASINs for the same product targeting different demographics aligns with AI recommendations Technical barriers to automation are evaporating - tools like Claude Co-Work and improved N8N AI assistants are making workflow automation accessible "Human in the loop" defines 2026 - the winning strategy combines automated data collection with human strategic oversight The big three AI providers have stabilised - Anthropic, Google, and OpenAI now dominate, reducing shiny object syndrome Video generation remains the next frontier - while image generation is solved, video still requires scene-by-scene refinement Chapter Markers 00:00 - Introduction and 2026 Outlook 00:58 - Dorian on the Pace of Change Since 2025 04:07 - N8N Accessibility and Self-Build Workflows 05:33 - One-Shot Image Generation Capabilities 07:23 - Video Generation Limitations 10:26 - Business Systems, ClickUp and Future-Proofing 14:37 - Hyper-Specific Product Positioning 20:06 - Keplo 2026 Direction 22:26 - Competitive Advantage and AI Accessibility 25:01 - The Big Three AI Providers 28:46 - 51 Folds Investment and Bayesian Prediction 33:14 - Panel 2026 Priorities 38:12 - Wrap-Up Resources Seller Sessions Website Seller Sessions YouTube Sim Mahon on LinkedIn Dorian Gorski on LinkedIn Matt Kostan on LinkedIn

IWhat is our children's future? What skills should they be developing? How should schools be adapting? What will the fully functioning citizens and workers of the future look like? A look into the landscape of the next 15 years, the future of work with human and AI interactions, the transformation of education, the safety and privacy landscapes, and a parental playbook. Navigation: Intro The Landscape: 2026–2040 The Future of Work: Human + AI The Transformation of Education The Ethics, Safety, and Privacy Landscape The Parental Playbook: Actionable Strategies Conclusion Our co-hosts: Bertrand Schmitt, Entrepreneur in Residence at Red River West, co-founder of App Annie / Data.ai, business angel, advisor to startups and VC funds, @bschmitt Nuno Goncalves Pedro, Investor, Managing Partner, Founder at Chamaeleon, @ngpedro Our show: Tech DECIPHERED brings you the Entrepreneur and Investor views on Big Tech, VC and Start-up news, opinion pieces and research. We decipher their meaning, and add inside knowledge and context. Being nerds, we also discuss the latest gadgets and pop culture news Subscribe To Our Podcast Bertrand SchmittIntroduction Welcome to Episode 72 of Tech Deciphered, about our children’s future. What is our children’s future? What skills should they be developing? How should school be adapting to AI? What would be the functioning citizens and workers of the future look like, especially in the context of the AI revolution? Nuno, what’s your take? Maybe we start with the landscape. Nuno Goncalves PedroThe Landscape: 2026–2040 Let’s first frame it. What do people think is going to happen? Firstly, that there’s going to be a dramatic increase in productivity, and because of that dramatic increase in productivity, there are a lot of numbers that show that there’s going to be… AI will enable some labour productivity growth of 0.1 to 0.6% through 2040, which would be a figure that would be potentially rising even more depending on use of other technologies beyond generative AI, as much as 0.5 to 3.4% points annually, which would be ridiculous in terms of productivity enhancement. To be clear, we haven’t seen it yet. But if there are those dramatic increases in productivity expected by the market, then there will be job displacement. There will be people losing their jobs. There will be people that will need to be reskilled, and there will be a big shift that is similar to what happens when there’s a significant industrial revolution, like the Industrial Revolution of the late 19th century into the 20th century. Other numbers quoted would say that 30% of US jobs could be automated by 2030, which is a silly number, 30%, and that another 60% would see tremendously being altered. A lot of their tasks would be altered for those jobs. There’s also views that this is obviously fundamentally a global phenomenon, that as much as 9% of jobs could be lost to AI by 2030. I think question mark if this is a net number or a gross number, so it might be 9% our loss, but then maybe there’re other jobs that will emerge. It’s very clear that the landscape we have ahead of us is if there are any significant increases in productivity, there will be job displacement. There will be job shifting. There will be the need for reskilling. Therefore, I think on the downside, you would say there’s going to be job losses. We’ll have to reevaluate whether people should still work in general 5 days a week or not. Will we actually work in 10, 20, 30 years? I think that’s the doomsday scenario and what happens on that side of the fence. I think on the positive side, there’s also a discussion around there’ll be new jobs that emerge. There’ll be new jobs that maybe we don’t understand today, new job descriptions that actually don’t even exist yet that will emerge out this brave new world of AI. Bertrand SchmittYeah. I mean, let’s not forget how we get to a growing economy. I mean, there’s a measurement of a growing economy is GDP growth. Typically, you can simplify in two elements. One is the growth of the labour force, two, the rise of the productivity of that labour force, and that’s about it. Either you grow the economy by increasing the number of people, which in most of the Western world is not really happening, or you increase productivity. I think that we should not forget that growth of productivity is a backbone of growth for our economies, and that has been what has enabled the rise in prosperity across countries. I always take that as a win, personally. That growth in productivity has happened over the past decades through all the technological revolutions, from more efficient factories to oil and gas to computers, to network computers, to internet, to mobile and all the improvement in science, usually on the back of technological improvement. Personally, I welcome any rise in improvement we can get in productivity because there is at this stage simply no other choice for a growing world in terms of growing prosperity. In terms of change, we can already have a look at the past. There are so many jobs today you could not imagine they would exist 30 years ago. Take the rise of the influencer, for instance, who could have imagined that 30 years ago. Take the rise of the small mom-and-pop e-commerce owner, who could have imagined that. Of course, all the rise of IT as a profession. I mean, how few of us were there 30 years ago compared to today. I mean, this is what it was 30 years ago. I think there is a lot of change that already happened. I think as a society, we need to welcome that. If we go back even longer, 100 years ago, 150 years ago, let’s not forget, if I take a city like Paris, we used to have tens of thousands of people transporting water manually. Before we have running water in every home, we used to have boats going to the North Pole or to the northern region to bring back ice and basically pushing ice all the way to the Western world because we didn’t have fridges at the time. I think that when we look back in time about all the jobs that got displaced, I would say, Thank you. Thank you because these were not such easy jobs. Change is coming, but change is part of the human equation, at least. Industrial revolution, the past 250 years, it’s thanks to that that we have some improvement in living conditions everywhere. AI is changing stuff, but change is a constant, and we need to adapt and adjust. At least on my side, I’m glad that AI will be able to displace some jobs that were not so interesting to do in the first place in many situations. Maybe not dangerous like in the past because we are talking about replacing white job collars, but at least repetitive jobs are definitely going to be on the chopping block. Nuno Goncalves PedroWhat happens in terms of shift? We were talking about some numbers earlier. The World Economic Forum also has some numbers that predicts that there is a gross job creation rate of 14% from 2025 to 2030 and a displacement rate of 8%, so I guess they’re being optimistic, so a net growth in employment. I think that optimism relates to this thesis that, for example, efficiency, in particular in production and industrial environments, et cetera, might reduce labour there while increasing the demand for labour elsewhere because there is a natural lower cost base. If there’s more automation in production, therefore there’s more disposable income for people to do other things and to focus more on their side activities. Maybe, as I said before, not work 5 days a week, but maybe work four or three or whatever it is. What are the jobs of the future? What are the jobs that we see increasing in the future? Obviously, there’re a lot of jobs that relate to the technology side, that relate obviously to AI, that’s a little bit self-serving, and everything that relates to information technology, computer science, computer technology, computer engineering, et cetera. More broadly in electrical engineering, mechanical engineering, that might actually be more needed. Because there is a broadening of all of these elements of contact with digital, with AI over time also with robots and robotics, that those jobs will increase. There’s a thesis that actually other jobs that are a little bit more related to agriculture, education, et cetera, might not see a dramatic impact, that will still need for, I guess, teachers and the need for people working in farms, et cetera. I think this assumes that probably the AI revolution will come much before the fundamental evolution that will come from robotics afterwards. Then there’s obviously this discussion around declining roles. Anything that’s fundamentally routine, like data entry, clinical roles, paralegals, for example, routine manufacturing, anything that’s very repetitive in nature will be taken away. I have the personal thesis that there are jobs that are actually very blue-collar jobs, like HVAC installation, maintenance, et cetera, plumbing, that will be still done by humans for a very long time because there are actually, they appear to be repetitive, but they’re actually complex, and they require manual labour that cannot be easily, I think, right now done by robots and replacements of humans. Actually, I think there’re blue-collar roles that will be on the increase rather than on decrease that will demand a premium, because obviously, they are apprenticeship roles, certification roles, and that will demand a premium. Maybe we’re at the two ends. There’s an end that is very technologically driven of jobs that will need to necessarily increase, and there’s at the other end, jobs that are very menial but necessarily need to be done by humans, and therefore will also command a premium on the other end. Bertrand SchmittI think what you say make a lot of sense. If you think about AI as a stack, my guess is that for the foreseeable future, on the whole stack, and when I say stack, I mean from basic energy production because we need a lot of energy for AI, maybe to going up to all the computing infrastructure, to AI models, to AI training, to robotics. All this stack, we see an increase in expertise in workers and everything. Even if a lot of this work will benefit from AI improvement, the boom is so large that it will bring a lot of demand for anyone working on any part of the stack. Some of it is definitely blue-collar. When you have to build a data centre or energy power station, this requires a lot of blue-collar work. I would say, personally, I’m absolutely not a believer of the 3 or 4 days a week work week. I don’t believe a single second in that socialist paradise. If you want to call it that way. I think that’s not going to change. I would say today we can already see that breaking. I mean, if you take Europe, most European countries have a big issue with pension. The question is more to increase how long you are going to work because financially speaking, the equation is not there. Personally, I don’t think AI would change any of that. I agree with you in terms of some jobs from electricians to gas piping and stuff. There will still be demand and robots are not going to help soon on this job. There will be a big divergence between and all those that can be automated, done by AI and robots and becoming cheaper and cheaper and stuff that requires a lot of human work, manual work. I don’t know if it will become more expensive, but definitely, proportionally, in comparison, we look so expensive that you will have second thoughts about doing that investment to add this, to add that. I can see that when you have your own home, so many costs, some cost our product. You buy this new product, you add it to your home. It can be a water heater or something, built in a factory, relatively cheap. You see the installation cost, the maintenance cost. It’s many times the cost of the product itself. Nuno Goncalves PedroMaybe it’s a good time to put a caveat into our conversation. I mean, there’s a… Roy Amara was a futurist who came up with the Amara’s Law. We tend to overestimate the effect of a technology in the short run and overestimate the effect in the long run. I prefer my own law, which is, we tend to overestimate the speed at which we get to a technological revolution and underestimate its impact. I think it’s a little bit like that. I think everyone now is like, “Oh, my God, we’re going to be having the AI overlords taking over us, and AGI is going to happen pretty quickly,” and all of that. I mean, AGI will probably happen at some point. We’re not really sure when. I don’t think anyone can tell you. I mean, there’re obviously a lot of ranges going on. Back to your point, for example, on the shift of the work week and how we work. I mean, just to be very clear, we didn’t use to have 5 days a week and 2 days a weekend. If we go back to religions, there was definitely Sabbath back in the day, and there was one day off, the day of the Lord and the day of God. Then we went to 2 days of weekend. I remember going to Korea back in 2005, and I think Korea shifted officially to 5 days a week, working week and 2 days weekend for some of the larger business, et cetera, in 2004. Actually, it took another whatever years for it to be pervasive in society. This is South Korea, so this is a developed market. We might be at some point moving to 4 days a week. Maybe France was ahead of the game. I know Bertrand doesn’t like this, the 35-hour week. Maybe we will have another shift in what defines the working week versus not. What defines what people need to do in terms of efficiency and how they work and all of that. I think it’s probably just going to take longer than we think. I think there’re some countries already doing it. I was reading maybe Finland was already thinking about moving to 4 days a week. There’re a couple of countries already working on it. Certainly, there’re companies already doing it as well. Bertrand SchmittYeah, I don’t know. I’m just looking at the financial equation of most countries. The disaster is so big in Western Europe, in the US. So much debt is out that needs to get paid that I don’t think any country today, unless there is a complete reversal of the finance, will be able to make a big change. You could argue maybe if we are in such a situation, it might be because we went too far in benefits, in vacation, in work days versus weekends. I’m not saying we should roll back, but I feel that at this stage, the proof is in the pudding. The finance of most developed countries are broken, so I don’t see a change coming up. Potentially, the other way around, people leaving to work more, unfortunately. We will see. My point is that AI will have to be so transformational for the productivity for countries, and countries will have to go back to finding their ways in terms of financial discipline to reach a level where we can truly profit from that. I think from my perspective, we have time to think about it in 10, 20 years. Right now, it’s BS at this stage of this discussion. Nuno Goncalves PedroYeah, there’s a dependency, Bertrand, which is there needs to be dramatic increases in productivity that need to happen that create an expansion of economy. Once that expansion is captured by, let’s say, government or let’s say by the state, it needs to be willingly fed back into society, which is not a given. There’re some governments who are going to be like, “No, you need to work for a living.” Tough luck. There’re no handouts, there’s nothing. There’s going to be other governments that will be pressured as well. I mean, even in a more socialist Europe, so to speak. There’re now a lot of pressures from very far-right, even extreme positions on what people need to do for a living and how much should the state actually intervene in terms of minimum salaries, et cetera, and social security. To your point, the economies are not doing well in and of themselves. Anyway, there would need to be tremendous expansion of economy and willingness by the state to give back to its citizens, which is also not a given. Bertrand SchmittAnd good financial discipline as well. Before we reach all these three. Reaping the benefits in a tremendous way, way above trend line, good financial discipline, and then some willingness to send back. I mean, we can talk about a dream. I think that some of this discussion was, in some ways, to have a discussion so early about this. It’s like, let’s start to talk about the benefits of the aeroplane industries in 1915 or 1910, a few years after the Wright brothers flight, and let’s make a decision based on what the world will be in 30 years from now when we reap this benefit. This is just not reasonable. This is not reasonable thinking. I remember seeing companies from OpenAI and others trying to push this narrative. It was just political agenda. It was nothing else. It was, “Let’s try to make look like AI so nice and great in the future, so you don’t complain on the short term about what’s happening.” I don’t think this is a good discussion to have for now. Let’s be realistic. Nuno Goncalves PedroJust for the sake of sharing it with our listeners, apparently there’re a couple of countries that have moved towards something a bit lower than 5 days a week. Belgium, I think, has legislated the ability for you to compress your work week into 4 days, where you could do 10 hours for 4 days, so 40 hours. UAE has some policy for government workers, 4.5 days. Iceland has some stuff around 35 to 36 hours, which is France has had that 35 hour thing. Lithuania for parents. Then just trials, it’s all over the shop. United Kingdom, my own Portugal, of course, Germany, Brazil, and South Africa, and a bunch of other countries, so interesting. There’s stuff going on. Bertrand SchmittFor sure. I mean, France managed to bankrupt itself playing the 75 hours work week since what, 2000 or something. I mean, yeah, it’s a choice of financial suicide, I would say. Nuno Goncalves PedroWonderful. The Future of Work: Human + AI Maybe moving a little bit towards the future of work and the coexistence of work of human and AI, I think the thesis that exists a little bit in the market is that the more positive thesis that leads to net employment growth and net employment creation, as we were saying, there’s shifting of professions, they’re rescaling, and there’s the new professions that will emerge, is the notion that human will need to continue working alongside with machine. I’m talking about robots, I’m also talking about software. Basically software can’t just always run on its own, and therefore, software serves as a layer of augmentation, that humans become augmented by AI, and therefore, they can be a lot more productive, and we can be a lot more productive. All of that would actually lead to a world where the efficiencies and the economic creation are incredible. We’ll have an unparalleled industrial evolution in our hands through AI. That’s one way of looking at it. We certainly at Chameleon, that’s how we think through AI and the AI layers that we’re creating with Mantis, which is our in-house platform at Chameleon, is that it’s augmenting us. Obviously, the human is still running the show at the end, making the toughest decisions, the more significant impact with entrepreneurs that we back, et cetera. AI augments us, but we run the show. Bertrand SchmittI totally agree with that perspective that first AI will bring a new approach, a human plus AI. Here in that situation, you really have two situations. Are you a knowledgeable user? Do you know your field well? Are you an expert? Are you an IT expert? Are you a medical doctor? Do you find your best way to optimise your work with AI? Are you knowledgeable enough to understand and challenge AI when you see weird output? You have to be knowledgeable in your field, but also knowledgeable in how to handle AI, because even experts might say, “Whatever AI says.” My guess is that will be the users that will benefit most from AI. Novice, I think, are in a bit tougher situation because if you use AI without truly understanding it, it’s like laying foundations on sand. Your stuff might crumble down the way, and you will have no clue what’s happening. Hopefully, you don’t put anyone in physical danger, but that’s more worrisome to me. I think some people will talk about the rise of vibe coding, for instance. I’ve seen AI so useful to improve coding in so many ways, but personally, I don’t think vibe coding is helpful. I mean, beyond doing a quick prototype or some stuff, but to put some serious foundation, I think it’s near useless if you have a pure vibe coding approach, obviously to each their own. I think the other piece of the puzzle, it’s not just to look at human plus AI. I think definitely there will be the other side as well, which is pure AI. Pure AI replacement. I think we start to see that with autonomous cars. We are close to be there. Here we’ll be in situation of maybe there is some remote control by some humans, maybe there is local control. We are talking about a huge scale replacement of some human activities. I think in some situation, let’s talk about work farms, for instance. That’s quite a special term, but basically is to describe work that is very repetitive in nature, requires a lot of humans. Today, if you do a loan approval, if you do an insurance claim analysis, you have hundreds, thousands, millions of people who are doing this job in Europe, in the US, or remotely outsourced to other countries like India. I think some of these jobs are fully at risk to be replaced. Would it be 100% replacement? Probably not. But a 9:1, 10:1 replacement? I think it’s definitely possible because these jobs have been designed, by the way, to be repetitive, to follow some very clear set of rules, to improve the rules, to remove any doubt if you are not sure. I think some of these jobs will be transformed significantly. I think we see two sides. People will become more efficient controlling an AI, being able to do the job of two people at once. On the other side, we see people who have much less control about their life, basically, and whose job will simply disappear. Nuno Goncalves PedroTwo points I would like to make. The first point is we’re talking about a state of AI that we got here, and we mentioned this in previous episodes of Tech Deciphered, through brute force, dramatically increased data availability, a lot of compute, lower network latencies, and all of that that has led us to where we are today. But it’s brute force. The key thing here is brute force. Therefore, when AI acts really well, it acts well through brute force, through seeing a bunch of things that have happened before. For example, in the case of coding, it might still outperform many humans in coding in many different scenarios, but it might miss hedge cases. It might actually not be as perfect and as great as one of these developers that has been doing it for decades who has this intuition and is a 10X developer. In some ways, I think what got us here is not maybe what’s going to get us to the next level of productivity as well, which is the unsupervised learning piece, the actually no learning piece, where you go into the world and figure stuff out. That world is emerging now, but it’s still not there in terms of AI algorithms and what’s happening. Again, a lot of what we’re seeing today is the outcome of the brute force movement that we’ve had over the last decade, decade and a half. The second point I’d like to make is to your point, Bertrand, you were going really well through, okay, if you’re a super experienced subject-matter expert, the way you can use AI is like, wow! Right? I mean, you are much more efficient, right? I was asked to do a presentation recently. When I do things in public, I don’t like to do it. If it’s a keynote, because I like to use my package stuff, there’s like six, seven presentations that I have prepackaged, and I can adapt around that. But if it’s a totally new thing, I don’t like to do it as a keynote because it requires a lot of preparation. Therefore, I’m like, I prefer to do a fire set chat or a panel or whatever. I got asked to do something, a little bit what is taking us to this topic today around what’s happening to our children and all of that is like, “God! I need to develop this from scratch.” The honest truth is if you have domain expertise around many areas, you can do it very quickly with the aid of different tools in AI. Anything from Gemini, even with Nana Banana, to ChatGPT and other tools that are out there for you and framing, how would you do that? But the problem then exists with people that are just at the beginning of their careers, people that have very little expertise and experience, and people that are maybe coming out of college where their knowledge is mostly theoretical. What happens to those people? Even in computer engineering, even in computer science, even in software development, how do those people get to the next level? I think that’s one of the interesting conversations to be had. What happens to the recent graduate or the recent undergrad? How do those people get the expertise they need to go to the next level? Can they just be replaced by AI agents today? What’s their role in terms of the workforce, and how do they fit into that workforce? Bertrand SchmittNo, I mean, that’s definitely the biggest question. I think that a lot of positions, if you are really knowledgeable, good at your job, if you are that 10X developer, I don’t think your job is at risk. Overall, you always have some exceptions, some companies going through tough times, but I don’t think it’s an issue. On the other end, that’s for sure, the recent new graduates will face some more trouble to learn on their own, start their career, and go to that 10X productivity level. But at the same time, let’s also not kid ourselves. If we take software development, this is a profession that increase in number of graduates tremendously over the past 30 years. I don’t think everyone basically has the talent to really make it. Now that you have AI, for sure, the bar to justify why you should be there, why you should join this company is getting higher and higher. Being just okay won’t be enough to get you a career in IT. You will need to show that you are great or potential to be great. That might make things tough for some jobs. At the same time, I certainly believe there will be new opportunities that were not there before. People will have to definitely adjust to that new reality, learn and understand what’s going on, what are the options, and also try to be very early on, very confident at using AI as much as they can because for sure, companies are going to only hire workers that have shown their capacity to work well with AI. Nuno Goncalves PedroMy belief is that it generates new opportunities for recent undergrads, et cetera, of building their own microbusinesses or nano businesses. To your point, maybe getting jobs because they’ll be forced to move faster within their jobs and do less menial and repetitive activities and be more focused on actual dramatic intellectual activities immediately from the get go, which is not a bad thing. Their acceleration into knowledge will be even faster. I don’t know. It feels to me maybe there’s a positivity to it. Obviously, if you’ve stayed in a big school, et cetera, that there will be some positivity coming out of that. The Transformation of Education Maybe this is a good segue to education. How does education change to adapt to a new world where AI is a given? It’s not like I can check if you’re faking it on your homework or if you’re doing a remote examination or whatever, if you’re using or not tools, it’s like you’re going to use these tools. What happens in that case, and how does education need to shift in this brave new world of AI augmentation and AI enhancements to students? Bertrand SchmittYes, I agree with you. There will be new opportunities. I think people need to be adaptable. What used to be an absolute perfect career choice might not be anymore. You need to learn what changes are happening in the industry, and you need to adjust to that, especially if you’re a new graduate. Nuno Goncalves PedroMaybe we’ll talk a little bit about education, Bertrand, and how education would fundamentally shift. I think one of the things that’s been really discussed is what are the core skills that need to be developed? What are the core skills that will be important in the future? I think critical thinking is probably most important than ever. The ability to actually assimilate information and discern which information is correct or incorrect and which information can lead you to a conclusion or not, for example, I think is more important than ever. The ability to assimilate a bunch of pieces of information, make a decision or have an insight or foresight out of that information is very, very critical. The ability to be analytical around how you look at information and to really distinguish what’s fact from what’s opinion, I think is probably quite important. Maybe moving away more and more from memorisation from just cramming information into your brain like we used to do it in college, you have to know every single algorithm for whatever. It’s like, “Who gives a shit? I can just go and search it.” There’s these shifts that are not simple because I think education, in particular in the last century, has maybe been too focused on knowing more and more knowledge, on learning this knowledge. Now it’s more about learning how to process the knowledge rather than learning how to apprehend it. Because the apprehension doesn’t matter as much because you can have this information at any point in time. The information is available to you at the touch of a finger or voice or whatever. But the ability to then use the information to do something with it is not. That’s maybe where you start distinguishing the different level degrees of education and how things are taught. Bertrand SchmittHonestly, what you just say or describe could apply of the changes we went through the past 30 years. Just using internet search has for sure tremendously changed how you can do any knowledge worker job. Suddenly you have the internet at your fingertips. You can search about any topics. You have direct access to a Wikipedia or something equivalent in any field. I think some of this, we already went through it, and I hope we learned the consequence of these changes. I would say what is new is the way AI itself is working, because when you use AI, you realise that it can utter to you complete bullshit in a very self-assured way of explaining something. It’s a bit more scary than it used to be, because in the past, that algorithm trying to present you the most relevant stuff based on some algorithm was not trying to present you the truth. It’s a list of links. Maybe it was more the number one link versus number 100. But ultimately, it’s for you to make your own opinion. Now you have some chatbot that’s going to tell you that for sure this is the way you should do it. Then you check more, and you realise, no, it’s totally wrong. It’s definitely a slight change in how you have to apprehend this brave new world. Also, this AI tool, the big change, especially with generative AI, is the ability for them to give you the impression they can do the job at hand by themselves when usually they cannot. Nuno Goncalves PedroIndeed. There’s definitely a lot of things happening right now that need to fundamentally shift. Honestly, I think in the education system the problem is the education system is barely adapted to the digital world. Even today, if you studied at a top school like Stanford, et cetera, there’s stuff you can do online, there’s more and more tools online. But the teaching process has been very centred on syllabus, the teachers, later on the professors, and everything that’s around it. In class presence, there’s been minor adaptations. People sometimes allow to use their laptops in the classroom, et cetera, or their mobile phones. But it’s been done the other way around. It’s like the tools came later, and they got fed into the process. Now I think there needs to be readjustments. If we did this ground up from a digital first or a mobile first perspective and an AI first perspective, how would we do it? That changes how teachers and professors should interact with the classrooms, with the role of the classroom, the role of the class itself, the role of homework. A lot of people have been debating that. What do you want out of homework? It’s just that people cram information and whatever, or do you want people to show critical thinking in a specific different manner, or some people even go one step further. It’s like, there should be no homework. People should just show up in class and homework should move to the class in some ways. Then what happens outside of the class? What are people doing at home? Are they learning tools? Are they learning something else? Are they learning to be productive in responding to teachers? But obviously, AI augmented in doing so. I mean, still very unclear what this looks like. We’re still halfway through the revolution, as we said earlier. The revolution is still in motion. It’s not realised yet. Bertrand SchmittI would quite separate higher education, university and beyond, versus lower education, teenager, kids. Because I think the core up to the point you are a teenager or so, I think the school system should still be there to guide you, discovering and learning and being with your peers. I think what is new is that, again, at some point, AI could potentially do your job, do your homework. We faced similar situation in the past with the rise of Wikipedia, online encyclopedias and the stuff. But this is quite dramatically different. Then someone could write your essays, could answer your maths work. I can see some changes where you talk about homework, it’s going to be classwork instead. No work at home because no one can trust that you did it yourself anymore going forward, but you will have to do it in the classroom, maybe spend more time at school so that we can verify that you really did your job. I think there is real value to make sure that you can still think by yourself. The same way with the rise of calculators 40 years ago, I think it was the right thing to do to say, “You know what? You still need to learn the basics of doing calculations by hand.” Yes, I remember myself a kid thinking, “What the hell? I have a calculator. It’s working very well.” But it was still very useful because you can think in your head, you can solve complex problems in your head, you can check some output that it’s right or wrong if it’s coming from a calculator. There was a real value to still learn the basics. At the same point, it was also right to say, “You know what? Once you know the basics, yes, for sure, the calculator will take over because we’re at the point.” I think that was the right balance that was put in place with the rise of calculators. We need something similar with AI. You need to be able to write by yourself, to do stuff by yourself. At some point, you have to say, “Yeah, you know what? That long essays that we asked you to do for the sake of doing long essays? What’s the point?” At some point, yeah, that would be a true question. For higher education, I think personally, it’s totally ripe for full disruption. You talk about the traditional system trying to adapt. I think we start to be at the stage where “It should be the other way around.” It should be we should be restarted from the ground up because we simply have different tools, different ways. I think at this stage, many companies if you take, [inaudible 00:33:01] for instance, started to recruit people after high school. They say, “You know what? Don’t waste your time in universities. Don’t spend crazy shitload of money to pay for an education that’s more or less worthless.” Because it used to be a way to filter people. You go to good school, you have a stamp that say, “This guy is good enough, knows how to think.” But is it so true anymore? I mean, now that universities have increased the enrolment so many times over, and your university degree doesn’t prove much in terms of your intelligence or your capacity to work hard, quite frankly. If the universities are losing the value of their stamp and keep costing more and more and more, I think it’s a fair question to say, “Okay, maybe this is not needed anymore.” Maybe now companies can directly find the best talents out there, train them themselves, make sure that ultimately it’s a win-win situation. If kids don’t have to have big loans anymore, companies don’t have to pay them as much, and everyone is winning. I think we have reached a point of no return in terms of value of university degrees, quite frankly. Of course, there are some exceptions. Some universities have incredible programs, incredible degrees. But as a whole, I think we are reaching a point of no return. Too expensive, not enough value in the degree, not a filter anymore. Ultimately, I think there is a case to be made for companies to go back directly to the source and to high school. Nuno Goncalves PedroI’m still not ready to eliminate and just say higher education doesn’t have a role. I agree with the notion that it’s continuous education role that needs to be filled in a very different way. Going back to K-12, I think the learning of things is pretty vital that you learn, for example, how to write, that you learn cursive and all these things is important. I think the role of the teacher, and maybe actually even later on of the professors in higher education, is to teach people the critical information they need to know for the area they’re in. Basic math, advanced math, the big thinkers in philosophy, whatever is that you’re studying, and then actually teach the students how to use the tools that they need, in particular, K-12, so that they more rapidly apprehend knowledge, that they more rapidly can do exercises, that they more rapidly do things. I think we’ve had a static view on what you need to learn for a while. That’s, for example, in the US, where you have AP classes, like advanced placement classes, where you could be doing math and you could be doing AP math. You’re like, dude. In some ways, I think the role of the teacher and the interaction with the students needs to go beyond just the apprehension of knowledge. It also has to have apprehension of knowledge, but it needs to go to the apprehension of tools. Then the application of, as we discussed before, critical thinking, analytical thinking, creative thinking. We haven’t talked about creativity for all, but obviously the creativity that you need to have around certain problems and the induction of that into the process is critical. It’s particular in young kids and how they’re developing their learning skills and then actually accelerate learning. In that way, what I’m saying, I’m not sure I’m willing to say higher education is dead. I do think this mass production of higher education that we have, in particular in the US. That’s incredibly costly. A lot of people in Europe probably don’t see how costly higher education is because we’re educated in Europe, they paid some fee. A lot of the higher education in Europe is still, to a certain extent, subsidised or done by the state. There is high degree of subsidisation in it, so it’s not really as expensive as you’d see in the US. But someone spending 200-300K to go to a top school in the US to study for four years for an undergrad, that doesn’t make sense. For tuition alone, we’re talking about tuition alone. How does that work? Why is it so expensive? Even if I’m a Stanford or a Harvard or a University of Pennsylvania or whatever, whatever, Ivy League school, if I’m any of those, to command that premium, I don’t think makes much sense. To your point, maybe it is about thinking through higher education in a different way. Technical schools also make sense. Your ability to learn and learn and continue to education also makes sense. You can be certified. There are certifications all around that also makes sense. I do think there’s still a case for higher education, but it needs to be done in a different mould, and obviously the cost needs to be reassessed. Because it doesn’t make sense for you to be in debt that dramatically as you are today in the US. Bertrand SchmittI mean, for me, that’s where I’m starting when I’m saying it’s broken. You cannot justify this amount of money except in a very rare and stratified job opportunities. That means for a lot of people, the value of this equation will be negative. It’s like some new, indented class of people who owe a lot of money and have no way to get rid of this loan. Sorry. There are some ways, like join the government Task Force, work for the government, that at some point you will be forgiven your loans. Some people are going to just go after government jobs just for that reason, which is quite sad, frankly. I think we need a different approach. Education can be done, has to be done cheaper, should be done differently. Maybe it’s just regular on the job training, maybe it is on the side, long by night type of approach. I think there are different ways to think about. Also, it can be very practical. I don’t know you, but there are a lot of classes that are not really practical or not very tailored to the path you have chosen. Don’t get me wrong, there is always value to see all the stuff, to get a sense of the world around you. But this has a cost. If it was for free, different story. But nothing is free. I mean, your parents might think it’s free, but at the end of the day, it’s their taxes paying for all of this. The reality is that it’s not free. It’s costing a lot of money at the end of the day. I think we absolutely need to do a better job here. I think internet and now AI makes this a possibility. I don’t know you, but personally, I’ve learned so much through online classes, YouTube videos, and the like, that it never cease to amaze me how much you can learn, thanks to the internet, and keep up to date in so many ways on some topics. Quite frankly, there are some topics that there is not a single university that can teach you what’s going on because we’re talking about stuff that is so precise, so focused that no one is building a degree around that. There is no way. Nuno Goncalves PedroI think that makes sense. Maybe bring it back to core skills. We’ve talked about a couple of core skills, but maybe just to structure it a little bit for you, our listener. I think there’s a big belief that critical thinking will be more important than ever. We already talked a little bit about that. I think there’s a belief that analytical thinking, the ability to, again, distinguish fact from opinion, ability to distinguish elements from different data sources and make sure that you see what those elements actually are in a relatively analytical manner. Actually the ability to extract data in some ways. Active learning, proactive learning and learning strategies. I mean, the ability to proactively learn, proactively search, be curious and search for knowledge. Complex problem-solving, we also talked a little bit about it. That goes hand in hand normally with critical thinking and analysis. Creativity, we also talked about. I think originality, initiative, I think will be very important for a long time. I’m not saying AI at some point won’t be able to emulate genuine creativity. I wouldn’t go as far as saying that, but for the time being, it has tremendous difficulty doing so. Bertrand SchmittBut you can use AI in creative endeavours. Nuno Goncalves PedroOf course, no doubt. Bertrand SchmittYou can do stuff you will be unable to do, create music, create videos, create stuff that will be very difficult. I see that as an evolution of tools. It’s like now cameras are so cheap to create world-class quality videos, for instance. That if you’re a student, you want to learn cinema, you can do it truly on the cheap. But now that’s the next level. You don’t even need actors, you don’t even need the real camera. You can start to make movies. It’s amazing as a learning tool, as a creative tool. It’s for sure a new art form in a way that we have seen expanding on YouTube and other places, and the same for creating new images, new music. I think that AI can be actually a tool for expression and for creativity, even in its current form. Nuno Goncalves PedroAbsolutely. A couple of other skills that people would say maybe are soft skills, but I think are incredibly powerful and very distinctive from machines. Empathy, the ability to figure out how the other person’s feeling and why they’re feeling like that. Adaptability, openness, the flexibility, the ability to drop something and go a different route, to maybe be intellectually honest and recognise this is the wrong way and the wrong angle. Last but not the least, I think on the positive side, tech literacy. I mean, a lot of people are, oh, we don’t need to be tech literate. Actually, I think this is a moment in time where you need to be more tech literate than ever. It’s almost a given. It’s almost like table stakes, that you are at some tech literacy. What matters less? I think memorisation and just the cramming of information and using your brain as a library just for the sake of it, I think probably will matter less and less. If you are a subject or a class that’s just solely focused on cramming your information, I feel that’s probably the wrong way to go. I saw some analysis that the management of people is less and less important. I actually disagree with that. I think in the interim, because of what we were discussing earlier, that subject-matter experts at the top end can do a lot of stuff by themselves and therefore maybe need to less… They have less people working for them because they become a little bit more like superpowered individual contributors. But I feel that’s a blip rather than what’s going to happen over time. I think collaboration is going to be a key element of what needs to be done in the future. Still, I don’t see that changing, and therefore, management needs to be embedded in it. What other skills should disappear or what other skills are less important to be developed, I guess? Bertrand SchmittWorld learning, I’ve never, ever been a fan. I think that one for sure. But at the same time, I want to make sure that we still need to learn about history or geography. What we don’t want to learn is that stupid word learning. I still remember as a teenager having to learn the list of all the 100 French departments. I mean, who cared? I didn’t care about knowing the biggest cities of each French department. It was useless to me. But at the same time, geography in general, history in general, there is a lot to learn from the past from the current world. I think we need to find that right balance. The details, the long list might not be that necessary. At the same time, the long arc of history, our world where it is today, I think there is a lot of value. I think you talk about analysing data. I think this one is critical because the world is generating more and more data. We need to benefit from it. There is no way we can benefit from it if we don’t understand how data is produced, what data means. If we don’t understand the base of statistical analysis. I think some of this is definitely critical. But for stuff, we have to do less. It’s beyond world learning. I don’t know, honestly. I don’t think the core should change so much. But the tools we use to learn the core, yes, probably should definitely improve. Nuno Goncalves PedroOne final debate, maybe just to close, I think this chapter on education and skill building and all of that. There’s been a lot of discussion around specialisation versus generalisation, specialists versus generalists. I think for a very long time, the world has gone into a route that basically frames specialisation as a great thing. I think both of us have lived in Silicon Valley. I still do, but we both lived in Silicon Valley for a significant period of time. The centre of the universe in terms of specialisation, you get more and more specialised. I think we’re going into a world that becomes a little bit different. It becomes a little bit like what Amazon calls athletes, right? The T-Pi-shaped people get the most value, where you’re brought on top, you’re a very strong generalist on top, and you have a lot of great soft skills around management and empathy and all that stuff. Then you might have one or two subject matter expertise areas. Could be like business development and sales or corporate development and business development or product management and something else. I think those are the winners of the future. The young winners of the future are going to be more and more T-pi-shaped, if I had to make a guess. Specialisation matters, but maybe not as much as it matters today. It matters from the perspective that you still have to have spikes in certain areas of focus. But I’m not sure that you get more and more specialised in the area you’re in. I’m not sure that’s necessarily how humans create most value in their arena of deployment and development. Professionally, and therefore, I’m not sure education should be more and more specialised just for the sake of it. What do you think? Bertrand SchmittI think that that’s a great point. I would say I could see an argument for both. I think there is always some value in being truly an expert on a topic so that you can keep digging around, keep developing the field. You cannot develop a field without people focused on developing a field. I think that one is there to stay. At the same time, I can see how in many situations, combining knowledge of multiple fields can bring tremendous value. I think it’s very clear as well. I think it’s a balance. We still need some experts. At the same time, there is value to be quite horizontal in terms of knowledge. I think what is still very valuable is the ability to drill through whenever you need. I think that we say it’s actually much easier than before. That for me is a big difference. I can see how now you can drill through on topics that would have been very complex to go into. You will have to read a lot of books, watch a lot of videos, potentially do a new education before you grasp much about a topic. Well, now, thanks to AI, you can drill very quickly on topic of interest to you. I think that can be very valuable. Again, if you just do that blindly, that’s calling for trouble. But if you have some knowledge in the area, if you know how to deal with AI, at least today’s AI and its constraints, I think there is real value you can deliver thanks to an ability to drill through when you don’t. For me, personally, one thing I’ve seen is some people who are generalists have lost this ability. They have lost this ability to drill through on a topic, become expert on some topic very quickly. I think you need that. If you’re a VC, you need to analyse opportunity, you need to discover a new space very quickly. We say, I think some stuff can move much quicker than before. I’m always careful now when I see some pure generalists, because one thing I notice is that they don’t know how to do much anything any more. That’s a risk. We have example of very, very, very successful people. Take an Elon Musk, take a Steve Jobs. They have this ability to drill through to the very end of any topic, and that’s a real skill. Sometimes I see people, you should trust the people below. They know better on this and that, and you should not question experts and stuff. Hey, guys, how is it that they managed to build such successful companies? Is their ability to drill through and challenge hardcore experts. Yes, they will bring top people in the field, but they have an ability to learn quickly a new space and to drill through on some very technical topics and challenge people the right way. Challenge, don’t smart me. Not the, I don’t care, just do it in 10 days. No, going smartly, showing people those options, learning enough in the field to be dangerous. I think that’s a very, very important skill to have. Nuno Goncalves PedroMaybe switching to the dark side and talking a little bit about the bad stuff. I think a lot of people have these questions. There’s been a lot of debate around ChatGPT. I think there’s still a couple of court cases going on, a suicide case that I recently a bit privy to of a young man that killed himself, and OpenAI and ChatGPT as a tool currently really under the magnifying glass for, are people getting confused about AI and AI looks so similar to us, et cetera. The Ethics, Safety, and Privacy Landscape Maybe let’s talk about the ethics and safety and privacy landscape a little bit and what’s happening. Sadly, AI will also create the advent of a world that has still a lot of biases at scale. I mean, let’s not forget the AI is using data and data has biases. The models that are being trained on this data will have also biases that we’re seeing with AI, the ability to do things that are fake, deep fakes in video and pictures, et cetera. How do we, as a society, start dealing with that? How do we, as a society, start dealing with all the attacks that are going on? On the privacy side, the ability for these models and for these tools that we have today to actually have memory of the conversations we’ve had with them already and have context on what we said before and be able to act on that on us, and how is that information being farmed and that data being farmed? How is it being used? For what purposes is it being used? As I said, the dark side of our conversation today. I think we’ve been pretty positive until now. But in this world, I think things are going to get worse before they get better. Obviously, there’s a lot of money being thrown at rapid evolution of these tools. I don’t see moratoriums coming anytime soon or bans on tools coming anytime soon. The world will need to adapt very, very quickly. As we’ve talked in previous episodes, regulation takes a long time to adapt, except Europe, which obviously regulates maybe way too fast on technology and maybe not really on use cases and user flows. But how do we deal with this world that is clearly becoming more complex? Bertrand SchmittI mean, on the European topic, I believe Europe should focus on building versus trying to sensor and to control and to regulate. But going back to your point, I think there are some, I mean, very tough use case when you see about voice cloning, for instance. Grandparents believing that their kids are calling them, have been kidnapped when there is nothing to it, and they’re being extorted. AI generating deepfakes that enable sextortion, that stuff. I mean, it’s horrible stuff, obviously. I’m not for regulation here, to be frank. I think that we should for sure prosecute to the full extent of the law. The law has already a lot of tools to deal with this type of situation. But I can see some value to try to prevent that in some tools. If you are great at building tools to generate a fake voice, maybe you should make sure that you are not helping scammers. If you can generate easily images, you might want to make sure that you cannot easily generate tools that can be used for creating deep fakes and sex extortion. I think there are things that should be done by some providers to limit such terrible use cases. At the same time, the genie is out. There is also that part around, okay, the world will need to adapt. But yeah, you cannot trust everything that is done. What could have looked like horrible might not be true. You need to think twice about some of this, what you see, what you hear. We need to adjust how we live, how we work, but also how we prevent that. New tools, I believe, will appear. We will learn maybe to be less trustful on some stuff, but that is what it is. Nuno Goncalves PedroMaybe to follow up on that, I fully agree with everything you just said. We need to have these tools that will create boundary conditions around it as well. I think tech will need to fight tech in some ways, or we’ll need to find flaws in tech, but I think a lot of money needs to be put in it as well. I think my shout-out here, if people are listening to us, are entrepreneurs, et cetera, I think that’s an area that needs more and more investment, an area that needs more and more tooling platforms that are helpful to this. It’s interesting because that’s a little bit like how OpenAI was born. OpenAI was born to be a positive AI platform into the future. Then all of a sudden we’re like, “Can we have tools to control ChatGPT and all these things that are out there now?” How things have changed, I guess. But we definitely need to have, I think, a much more significant investment into these toolings and platforms than we do have today. Otherwise, I don’t see things evolving much better. There’s going to be more and more of this. There’s going to be more and more deep fakes, more and more, lack of contextualisation. There’s countries now that allow you to get married with not a human. It’s like you can get married to an algorithm or a robot or whatever. It’s like, what the hell? What’s happening now? It’s crazy. Hopefully, we’ll have more and more boundary conditions. Bertrand SchmittYeah, I think it will be a boom for cybersecurity. No question here. Tools to make sure that is there a better trust system or detecting the fake. It’s not going to be easy, but it has been the game in cybersecurity for a long time. You have some new Internet tools, some new Internet products. You need to find a difference against it and the constant war between the attackers and the defender. Nuno Goncalves PedroThe Parental Playbook: Actionable Strategies Maybe last but not the least in today’s episode, the parent playbook I’m a parent, what should I do I’ll actually let you start first. Bertrand, I’m parent-alike, but I am, sadly, not a parent, so I’ll let you start first, and then I’ll share some of my perspectives as well as a parent-like figure. Bertrand SchmittYeah, as a parent to an 8-year, I would say so far, no real difference than before. She will do some homework on an iPad. But beyond that, I cannot say I’ve seen at this stage so much difference. I think it will come up later when you have different type of homeworks when the kids start to be able to use computers on their own. What I’ve seen, however, is some interesting use cases. When my daughter is not sure about the spelling, she simply asks, Siri. “Hey, Siri, how do you spell this or this or that?” I didn’t teach her that. All of this came on her own. She’s using Siri for a few stuff for work, and I’m quite surprised in a very smart, useful way. It’s like, that’s great. She doesn’t need to ask me. She can ask by herself. She’s more autonomous. Why not? It’s a very efficient way for her to work and learn about the world. I probably feel sad when she asks Siri if she’s her friend. That does not feel right to me. But I would say so far, so good. I’ve seen only AI as a useful tool and with absolutely very limited risk. At the same time, for sure, we don’t let our kid close to any social media or the like. I think some of this stuff is for sure dangerous. I think as a parent, you have to be very careful before authorising any social media. I guess at some point you have no choice, but I think you have to be very careful, very gradual, and putting a lot of controls and safety mechanism I mean, you talk about kids committing suicide. It’s horrible. As a parent, I don’t think you can have a bigger worry than that. Suddenly your kids going crazy because someone bullied them online, because someone tried to extort them online. This person online could be someone in the same school or some scammer on the other side of the world. This is very scary. I think we need to have a lot of control on our kids’ digital life as well as being there for them on a lot of topics and keep drilling into them how a lot of this stuff online is not true, is fake, is not important, and being careful, yes, to raise them, to be critical of stuff, and to share as much as possible with our parents. I think We have to be very careful. But I would say some of the most dangerous stuff so far, I don’t think it’s really coming from AI. It’s a lot more social media in general, I would say, but definitely AI is adding another layer of risk. Nuno Goncalves PedroFrom my perspective, having helped raise three kids, having been a parent-like role today, what I would say is I would highlight against the skills that I was talking about before, and I would work on developing those skills. Skills that relate to curiosity, to analytical behaviours at the same time as being creative, allowing for both, allowing for the left brain, right brain, allowing for the discipline and structure that comes with analytical thinking to go hand in hand with doing things in a very, very different way and experimenting and failing and doing things and repeating them again. All the skills that I mentioned before, focusing on those skills. I was very fortunate to have a parental unit. My father and my mother were together all their lives: my father, sadly, passing away 5 years ago that were very, very different, my mother, more of a hacker in mindset. Someone was very curious, medical doctor, allowing me to experiment and to be curious about things around me and not simplifying interactions with me, saying it as it was with a language that was used for that particular purpose, allowing me to interact with her friends, who were obviously adults. And then on the other side, I have my father, someone who was more disciplined, someone who was more ethical, I think that becomes more important. The ability to be ethical, the ability to have moral standing. I’m Catholic. There is a religious and more overlay to how I do things. Having the ability to portray that and pass that to the next generation and sharing with them what’s acceptable and what’s not acceptable, I think is pretty critical and even more critical than it was before. The ability to be structured, to say and to do what you say, not just actually say a bunch of stuff and not do it. So, I think those things don’t go out of use, but I would really spend a lot more focus on the ability to do critical thinking, analytical thinking, having creative ideas, obviously, creating a little bit of a hacker mindset, how to cut corners to get to something is actually really more and more important. The second part is with all of this, the overlay of growth mindset. I feel having a more flexible mindset rather than a fixed mindset. What I mean by that is not praising your kids or your grandchildren for being very intelligent or very beautiful, which are fixed things, they’re static things, but praising them for the effort they put into something, for the learning that they put into something, for the process, raising the

Mike Tomlin resigned this week after nearly 20 years with the Steelers. We're talking about his coaching legacy, what went wrong, and what's next for his career and the franchise. Plus, host Megan Harris and producer Sophia Lo are chatting about the PA Farm Show's butter sculpture, super flu, "The Pitt" at the Golden Globes, a new weekend newspaper, space news, and a very strange case of stolen human remains. Know what happened with the James Street remodel? Call us on our JAMES STREET HOTLINE at 412-212-8893. Notes and references from today's show: PHOTOS: 35th annual Pennsylvania Farm Show Butter Sculpture [WPXI] Who will be the Steelers' next head coach? Possible candidates to replace Mike Tomlin [The Athletic] What to know about the "super flu" in Western Pa. [Axios Pittsburgh] Kindergarten vaccination rates at many Pittsburgh-area schools are below herd immunity [WESA] Park House Is Once Again Packing ‘Em in on the North Side [Pittsburgh Magazine] A Farewell to Hem's: Hemingway's Cafe in Oakland is Closing After 43 Years [Pittsburgh Magazine] ‘The Pitt' Wins Two Golden Globes [Pittsburgh Magazine] Trib expands to fill Pittsburgh's newspaper void [TribLive] More than 40 news sources remain in Pittsburgh's fragmented media landscape [Public Source] ‘Which bone goes with which person?': Costly investigation follows Pa. cemetery thefts [PennLive] Astrobotic secures $17.5M from NASA to test and expand reusable rockets [Technical.ly] PODCAST: Meteor Showers, Moon Launches & Pgh Among the Stars [City Cast Pittsburgh] Learn more about the sponsors of this January 16th episode: AIDS Free Pittsburgh PA Preferred P3R Special Olympics Become a member of City Cast Pittsburgh at membership.citycast.fm. Want more Pittsburgh news? Sign up for our daily morning newsletter. We're also on Instagram @CityCastPgh! Interested in advertising with City Cast? Find more info here. 

Episode 155 of the Award Travel 101 podcast, “This and That,” features Angie Sparks and Mike Zaccheo covering a wide range of points-and-miles news, personal updates, and community highlights. A standout moment comes from a member post calculating that 11 trips taken with kids—booked using points—would have cost over $40,000 in cash but instead totaled under $2,000, underscoring both the massive savings and the priceless experiences gained. The hosts also discuss developing news, including rumored new Bilt cards, a potential Saks Fifth Avenue bankruptcy impacting Amex credits, new credit card offers from Aeroplan and Marriott, and plans for a Capital One Lounge at Charlotte airport.Angie and Mike share their own credit card strategies, recent approvals and denials, and how they're managing spend thresholds and bonuses. Angie dives into trip planning for Switzerland, Turkey, and an upcoming cruise, highlighting the creative use of Chase credits, hotel points, and free night certificates—along with the quirks of booking Swiss trains. Mike talks about “gardening” itineraries to save points, upgrading cabins, and planning trips to Key West, Vegas, Napa, and an anniversary stay at Alila Napa, largely using American Airlines and Marriott Bonvoy redemptions.The main discussion centers on travel quirks inspired by an article, sparking a lively debate on premium cabin dining habits, pre-departure drinks, excessive bedding, refillable hotel amenities, and window shade etiquette. The episode wraps with a practical tip of the week: travelers renting cars at Orlando (MCO) can avoid rental company toll fees by signing up for the free Florida Visitor Toll Pass kiosk just steps from the rental counters—paying only the tolls themselves and nothing extra.Episode Links:Aeroplan CardMarriott Boundless OfferCapital One Lounge CLTWhere to Find Us The Award Travel 101 Facebook Community. To book time with our team, check out Award Travel 1-on-1. You can also email us at 101@award.travel Buy your Award Travel 101 Merch here Reserve tickets to our Spring 2026 Meetup in Phoenix now. award.travel/phx2026 Our partner CardPointers helps us get the most from our cards. Signup today at https://cardpointers.com/at101 for a 30% discount on annual and lifetime subscriptions! Lastly, we appreciate your support of the AT101 Podcast/Community when you signup for your next card! Technical note: Some user experience difficulty streaming the podcast while connected to a VPN. If you have difficulty, disconnect from your VPN.

Bitcoin and Ethereum wavered despite positive momentum earlier this week.~This episode is sponsored by iTrust Capital~iTrustCapital | Get $100 Funding Reward + No Monthly Fees when you sign up using our custom link! ➜ https://bit.ly/iTrustPaulGuest: Tim Warren, Host of Investing BrozInvesting Broz Youtube ➜ ‪‪  @TimWarrenTrades  Follow on Twitter ➜  @timsta6753 00:00 Intro00:10 Sponsor: iTrust Capital01:30 Crash Catalyst?03:30 Mike Novagratz: Why the bill has stalled06:00 Bitcoin analysis11:30 Fear & Greed12:00 Tom Lee: Why Mr.Beast13:40 Ethereum analysis17:00 Polygon analysis21:00 Solana vs Ethereum23:00 Solana RWA King in 5 years24:00 Solana to $1000?27:30 Outro#Crypto #bitcoin #ethereum~Rally Over?

For this landmark 100th episode (Season 4, Episode 22), current host Jorden Guth is joined by original hosts Dennis Burger and Brent Butterworth for a wide-ranging conversation on the evolution of the SoundStage! Audiophile Podcast. Together, they look back at how the show began, why it needed to change, and how it has grown across four seasons into what it is today. Sources: “‘The World's Best-Sounding Power Amplifier' of 1977—Electrocompaniet's Surprising 52-Year History” by SoundStage! Network: https://youtu.be/gu49PjqtyiI?si=tm3GF1PuRzHSkU7P Chapters: 00:00:00 Announcement 00:00:31 Introductions 00:01:04 The origins of the podcast 00:05:23 Passing the baton to Jorden 00:10:40 Technical difficulties 00:15:48 Turn, turn, turn 00:28:31 Why we care where it's made 00:37:12 We get comments! 00:43:25 Doug's master plan 00:48:07 Outro music: “Bamba African Market” by Kaleido Sea 

Is it possible for IT professionals to remain technical when moving into roles that expand influence, scale, and reach? Matt Starling, Senior Director of Product Marketing at Ekahau and co-founder of the WiFi Ninjas podcast, joins Alexis and Kevin to share how your career can evolve beyond on-call operations without losing the technical core. His... Read more »

Is it possible for IT professionals to remain technical when moving into roles that expand influence, scale, and reach? Matt Starling, Senior Director of Product Marketing at Ekahau and co-founder of the WiFi Ninjas podcast, joins Alexis and Kevin to share how your career can evolve beyond on-call operations without losing the technical core. His... Read more »

All links and images can be found on CISO Series. Check out this post for the discussion that is the basis of our conversation on this week's episode, co-hosted by me, David Spark, the producer of CISO Series, and Jerich Beason, CISO, WM. Their guest is Pam Lindemoen, CSO and vp of strategy, RH-ISAC. In this episode: From loudest to most trusted Letting go of the win Listening over proving Beyond right and wrong Huge thanks to our sponsor, Alteryx Alteryx is a leading AI and data analytics company that powers actionable insights that help organizations drive smarter, faster decisions. Alteryx One helps security, risk, and operations leaders cut hours of manual work to minutes, generate trusted insights at scale, and turn raw data into action faster than ever. Learn more at www.alteryx.com.  

It's a classic two albums episode as we get back into the swing of the ID:UD sched here in 2026. First up, we're discussing the beginning of Die Sektor's experimentation with the well-trod aggrotech formula with 2011's Applied Structure In A Void. Next, the precisely minimal electro-EBM of Dejan Samardzic of Haujobb's solo DSX project is considered via its 2018 Soviet Synthesizer EP.

The conversation centers around the Transition to Organic Partnership Program (TOPP), a USDA initiative aimed at supporting farmers in transitioning to organic practices. Ben Bowell and Jessy Beckett Parr discuss the program's origins, goals, and the collaborative efforts of various organizations involved. They highlight the importance of technical assistance, mentorship, and community building in fostering a successful organic farming network. The discussion also touches on the program's impacts, future sustainability, and the significance of respect and collaboration in achieving a better world for agriculture.Takeaways:TOPP is a USDA initiative with a $100 million budget.The program aims to support farmers transitioning to organic practices.Collaboration among organizations is key to the program's success.Technical assistance includes one-on-one support and mentorship.The program has reached thousands through various educational events.Farmers are compensated for mentoring new organic farmers.The program is designed to be community-based and regionally tailored.Future funding and sustainability are ongoing concerns for the program.The program aims to increase domestic organic production to meet consumer demand.The national partners are Organic Farmers Association, Trade Association, and Arizona State University Swette Center for Sustainable Food Systems.The Regional Leads are Oregon Tilth, CCOD, OCIA, MOSA, Florida Organic Growers, and PCO.Modern Species developed their 2025 Impact Report which helped them secure the remainder of their grant after the government funding freeze.Sound bites:“If there's already the organic demand, we just need to meet the supply domestically.”“People in the United States who are inside of larger agricultural corporations, food-based corporations, see the disconnect and the need to invest resources in domestic supply and production.”“We all cooperatively wrote the organic standards together, along with other movement aligned groups in the 90s.”“One of the emergent themes for us of this work has been how important the network itself is and how keeping people in collaboration across organizations and state boundaries supports all of our success.”“I love hearing the stories of the farmer to farmer sharing. It's really powerful.”“I really feel like a better world looks like a world that's full of respect, for the people, for the planet and its delicate balance of biology and ecology.”"It's about continuous improvement."Links:Transition to Organic Partnership Program - https://www.organictransition.org/Impact Report for Transition to Organic Partnership Program - https://www.organictransition.org/impact-report/Ben Bowell on LinkedIn - https://www.linkedin.com/in/ben-bowell-85901a1b3/Jessy Becket Parr on LinkedIn - https://www.linkedin.com/in/jessy-beckett-parr-a5a681185/…Brands for a Better World Episode Archive - http://brandsforabetterworld.com/Brands for a Better World on LinkedIn - https://www.linkedin.com/company/brand-for-a-better-world/Modern Species - https://modernspecies.com/Modern Species on LinkedIn - https://www.linkedin.com/company/modern-species/Gage Mitchell on LinkedIn - https://www.linkedin.com/in/gagemitchell/…Print Magazine Design Podcasts - https://www.printmag.com/categories/printcast/…Heritage Radio Network - https://heritageradionetwork.org/Heritage Radio Network on LinkedIn - https://www.linkedin.com/company/heritage-radio-network/posts/Heritage Radio Network on Facebook - https://www.facebook.com/HeritageRadioNetworkHeritage Radio Network on X - https://x.com/Heritage_RadioHeritage Radio Network on Instagram - https://www.instagram.com/heritage_radio/Heritage Radio Network on Youtube - https://www.youtube.com/@heritage_radioChapters:03:00 Introduction to the Transition to Organic Partnership Program04:33 Understanding the Transition to Organic Partnership Program07:57 The Role of Partnerships in Organic Transition09:07 Regional Partners and Their Selection Process11:31 Goals and Objectives of the Transition to Organic Partnership Program15:20 Highlights and Accomplishments of the Program20:14 The Importance of Collaboration and Community23:37 Managing a Successful Collaborative Program26:54 Getting Involved in the Program29:13 Who is the Program For?31:06 Free Resources and Support for Farmers32:16 Future Plans for the Program35:00 Funding Opportunities and Strategies37:36 Advice for Collective Action and CollaborationSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The capture of Venezuela's Nicolás Maduro by the United States feels like confirmation that we are in a new era of global politics, but what has caused this shift and where does it leave Europe? Amol speaks to Professor Helen Thompson, an expert on the history of globalisation and author of Disorder: Hard Times in the 21st Century, about how oil is fuelling competition between the US and China. They explore how it's reshaping global power politics, whether it's possible for Europe to decouple from the US and why high levels of national debt threaten to undermine Western economies. And Helen, who is Professor of Political Economy at the University of Cambridge, explains why she thinks there is a case for potentially reversing the independence of central banks like the US Federal Reserve and the Bank of England to give politicians more control. (00:05:11) What is the Western Hemisphere? (00:07:45) The importance of Venezuela (00:11:05) How and why Washington is putting pressure on China (00:19:30) Why Trump is inspired by the US in the late 19th century (00:25:08) The rules based international order (00:29:00) Where does Europe fit into this new world? (00:30:52) Can Europe break away from the US? (00:33:30) Oil and the Western Economic Crisis (00:37:40) How is oil effecting power politics today? (00:40:40) What about renewable energy? (00:43:58) The coming debt emergency (00:46:30) Helen's RADICAL ideas (00:56:02) Amol's reflectionsGET IN TOUCH * WhatsApp: 0330 123 9480 * Email: radical@bbc.co.uk Episodes of Radical with Amol Rajan are released every Thursday and you can also watch them on BBC iPlayer: https://www.bbc.co.uk/iplayer/episodes/m002f1d0/radical-with-amol-rajan Amol Rajan is a presenter of the Today programme on BBC Radio 4. He is also the host of University Challenge on BBC One. Before that, Amol was media editor at the BBC and editor at The Independent. Radical with Amol Rajan is a Today Podcast. It was made by Lewis Vickers with Anna Budd. Digital production was by Gabriel Purcell-Davis. Technical production was by Jonny Hall. The editor is Sam Bonham. The executive producer is Owenna Griffiths.

(January 13, 2026 - Hour One)9:14 - Let's have an open talk about WBC, Smoke Slam and some other things going on in the BBQ landscape!9:35pm - Robert Moss - Monthly Segment10:14pm - Chris Allerton - Pocket Pitmaster Pro10:35pm - Joe Veazey - Creator of the BBQ MapAll this plus a new "Would You Rather" YouTube Poll Question of the week and results from last week's poll.The BBQ Central Show SponsorsSmokin Pecan Pellets – Use promo code “BBQCENTRAL” For 10% Off Your OrderPrimo GrillsBig Poppa Smokers – Use promo code “REMPE15” for 15% off your entire purchase!FireboardPit Barrel CookerMicallef Cigars – Premium Hand Rolled Cigars

It is harder to raise funding as a non-technical founder as a non-technical one. Some of this is silly stigma, but some of it is reasonable risk awareness. Investors aren't worried that you can't code. They are worried you'll burn through their money because you don't know how to get a tech product made - and they don't want you to learn on their dime. I get that.  In this episode, I break down why non-technical founders face more skepticism in fundraising — and what actually changes the conversation.  In this episode, you will hear: Why investors don't care if you can code — and what they're actually judging instead How non-technical founders accidentally burn $100k+ before product-market fit (and how to avoid it) The fastest way to turn investor skepticism into confidence without pretending to be technical What a credible product and hiring plan looks like when you're asking for someone else's money Resources from this Episode FREE class: How to raise capital as a non-technical founder. Join this class to learn: The system I used to raise $1 million from investors Mistakes non-technical founders make when fundraising & how to avoid them Key points you must include in your investment pitch if you're a non-technical founder Sign up here: https://www.techfornontechies.co/capital Follow and Review: We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select "Ratings and Reviews" and "Write a Review" then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast. Episode Credits If you like this podcast and are thinking of creating your own, consider talking to my producer, Emerald City Productions. They helped me grow and produce the podcast you are listening to right now. Find out more at https://emeraldcitypro.com Let them know we sent you. For the full transcript, go to https://www.techfornontechies.co/blog/287-why-investors-fund-non-technical-founders-and-why-they-don-t  

QNB Dijital Köprü katkılarıyla hazırladığımız 288. bölümde Technical Product Leader Tuğçe Kızılçakar konuğum oldu. QNB Dijital Köprü katkılarıyla... Bu bölüm ⁠⁠⁠QNB Dijital Köprü⁠⁠⁠ hakkında tanıtım içerir. ⁠https://www.qnb.com.tr/dijitalkopru⁠ Son yıllarda fark etmeden hepimiz cebimizde birer “mini banka” taşır hâle geldik. Dijital cüzdanlardan yapay zekâ destekli finans asistanlarına uzanan bu dönüşümde; para yönetimi, hız, güvenlik ve kullanıcı deneyimi yeniden tanımlanıyor. Dünya Trendleri'nde Tuğçe Kızılçakar ile FinTech'in yükselişini, bankalarla girişimler arasındaki farkları ve 2026 sonrası finans dünyasında bizi bekleyen yenilikleri konuşuyoruz. (00:00) – Açılış (00:50) – Tuğçe Kızılçakar'ı tanıyoruz. (02:00) - Son yıllarda hepimiz fark etmeden birer “mini banka” kullanıcısına dönüştük. Sizce para kullanma ve yönetme biçimimiz son 5 yılda nasıl değişti? (04:40) – FinTech'te ürün yönetimi neden bu kadar kritik hâle geldi? Hız mı, güvenlik mi, kullanıcı deneyimi mi yoksa üçünün birleşimi mi? (08:53) - Bankalar ile FinTech girişimleri arasında hız, inovasyon ve risk alma açısından en büyük farklar neler? Bu fark kullanıcıya nasıl yansıyor? (10:37) - Yapay zeka finans dünyasını nasıl değiştiriyor? Kullanıcıların finansal stresini azaltan mı, yoksa onları yönlendiren bir teknolojiye mi dönüşüyor? (12:20) – Yapay zekadan finans danışmanlığı almak… (12:50) – Süper App çağındayız… (13:50) - 2026 ve sonrasında bizi hangi finansal yenilikler şaşırtacak? Siz neyi öne çıkarırsınız? (14:26) – Fintech startupları güveni kazanmak için neler yapmalı? (15:50) – Yeni nesil için finans nasıl? (16:48) – Bugün bir fintech girişimi kursaydınız hangi soruna odaklanırdınız? (17:45) - Dijital cüzdanlar, kişisel finans asistanları, otomatik tasarruf sistemleri… (18:05) – Kitap önerisi Kancaya Takılınca: Alışkanlık Yaratan Ürünler Nasıl Geliştirilir? - https://www.goodreads.com/book/show/62123887-kancaya-takilinca?ac=1&from_search=true&qid=KPFUF9Z7E9&rank=1 Yalın Ürün El Kitabı: MVP'lerle Yenilik ve Girişimcilik - https://www.goodreads.com/book/show/35387928-yal-n-r-n-el-kitab?ac=1&from_search=true&qid=Of9y9EWjk0&rank=1 (19:07) - Kapanış Sosyal Medya takibi yaptın mı? ⁠⁠X⁠⁠⁠⁠⁠⁠  – ⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠ – ⁠⁠⁠⁠⁠⁠Linkedin⁠⁠⁠⁠⁠⁠ – ⁠⁠⁠⁠⁠⁠Youtube⁠⁠⁠⁠⁠⁠ – ⁠⁠⁠⁠⁠⁠Goodreads⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠Bülten⁠⁠⁠⁠⁠⁠ – ⁠⁠⁠⁠⁠⁠E-Posta⁠⁠⁠⁠⁠⁠ – Bu çalışmaları ve emeklerimi desteklemek için ⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠  ve ⁠Buy Me A Coffee⁠ hesabımız⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Sam Valencia, Jerry Zigmont and Joe Saponare discuss working with Apple technology and clients. Drawn from their combined experience of over 20 years in the Apple Consultants Network, thaey discuss technical support issues both with the technology and working with clients.

Kevin Horner charts the S&P 500 (SPX), Honeywell (HON) and 3M (MMM). He is monitoring below current price levels in case of dips as traders look to the 7,000 level. Honeywell (HON) has a short-term bull trend and is headed towards $210, which it has had difficulty breaching before. 3M (MMM) has been in a three-month consolidation and looks like it could make a new high soon. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Recording date: 17th December 2025Olive Resource Capital's leadership team has delivered a nuanced precious metals outlook for 2026 that challenges conventional wisdom whilst identifying specific opportunities backed by fundamental analysis. In this latest Compass podcast, President and CEO Sam Pelaez alongside Executive Chairman Derek Macpherson presented a framework emphasizing selectivity over broad-based precious metals enthusiasm.The firm's highest-conviction call centres on platinum, which Macpherson identified as his top commodity pick for 2026. The case rests on three pillars: persistent market deficits, tight physical supply, and anticipated policy shifts. "The market's in deficit. It's a small market and it's tight," Macpherson explained, before highlighting a critical catalyst: "I think we're going to see some of these EV mandates are going to get rolled off. More ICE engines by 2030 or 2035 are going to evaporate." This reassessment of aggressive electric vehicle timelines supports continued internal combustion engine production, sustaining autocatalyst demand for platinum and palladium. Olive maintains significant positioning in the PGM complex to capture this opportunity.The macroeconomic foundation underpinning precious metals remains robust despite consensus recession fears. Pelaez articulated the firm's contrarian economic view: "I think the global economy surprises to the upside. The general consensus is bearish. The GDP now for the Atlanta Fed is over 3%. The Treasury and the Fed are injecting liquidity right now. China is on an expansionary fiscal policy." Macpherson reinforced this perspective, noting unprecedented global deficit spending: "China's got a trillion dollars worth of stimulus, the US is spending money like it's going out of style. The Europeans all went into deficit spending to fund their defense efforts."This liquidity-driven environment creates favourable conditions for hard assets, though Olive's leadership expects commodity market leadership to potentially rotate from precious towards industrial metals. Gold maintains its portfolio role despite moderated return expectations following 2025's exceptional 60% advance, with Pelaez noting that reduced speculation in precious metals need not preclude continued gold strength supported by central bank buying and monetary accommodation.Perhaps most controversially, both executives expect silver to disappoint investors in 2026 despite positive fundamentals. Pelaez explained: "Every person on the planet seems to be uber-ultra-mega bullish silver. I'm not saying I think silver is going to go down necessarily, but it's going to be the most disappointing because the expectations for it are so high." Technical analysis suggests silver "has already corrected up to the average" based on 25 years of volume-weighted data against gold, with "the biggest move in silver" having "already occurred literally over the past eight weeks."Macpherson acknowledged tactical opportunities, expecting a "blowoff top in silver at a higher price than where we are right now," but anticipates year-end underperformance following silver's characteristic pattern of spiking then rolling off. Olive maintains silver exposure to capture near-term momentum whilst preparing to reduce positions.The firm's strategy emphasises diversified mining equities as preferred investment vehicles, highlighting Ivanhoe Mines with its PGM production "coming online at a perfect time when the market is moving higher." This approach provides leveraged precious metals exposure whilst managing single-commodity risk through companies with multiple revenue streams and operational catalysts.Learn more: https://cruxinvestor.comSign up for Crux Investor: https://cruxinvestor.com

DENSIFICATION AND THE CRUSHED SODA CAN Colleague Eric Berger. Berger explains the technical leaps required for the "Falcon 9 Full Thrust," specifically the use of densified propellants. By super-chilling liquid oxygen to nearly -300°F, SpaceX increased propellant density by 10-12%, drastically improving payload capacity. This innovation accompanied the challenge of landing boosters on ocean barges. Berger compares the fragility of an unpressurized rocket stage to a soda can, noting how easily they were crushed or exploded during early attempts to land on moving drone ships. These upgrades, including the "Octaweb" engine arrangement, were essential for creating a reusable fleet capable of frequent flight. NUMBER 41917 "SHE SAT AND DREW ON THE FLOOR THE FIRST MAP PF BARSOOMIAN I HAD EVER SEEN."

How Two Roads approaches training in the brewery. What to train, who trains, how to prove it, and how to make it stick on the floor. Special Guest: Jen Pesavento.

When Kat Guillaume-Delemar was six years old she was already an engaged community member. When a fire took the house next to her apartment building, she wondered about the elderly woman who had lived there and whether a new home would replace hers. As often happens in disinvested neighborhoods, that space became a vacant lot that remained the same for decades. Kat now leads the Center for Community Progress, a national nonprofit that brings technical solutions to human problems and failed systems, specifically bringing community-defined purpose to vacant, abandoned and/or deteriorated structures across the United States. As Kat explains on this episode of Power Station, Community Progress partners with municipalities and community leaders who have experienced the trauma associated with deteriorated and dangerous conditions and have a vision that will serve and strengthen their neighborhoods. These successes are not often highlighted in the media, but they are happening, nonetheless. The wins include the passing of progressive housing policies, the creation of affordable rental units, increased homeownership, centers for the arts and a beautiful park where an elderly woman's home once stood. Kat brings heart, expertise and tenacity to making a more equitable America. Hear her.

In 2025, Technical.ly recognized Kathleen Borgueta for her work with Pivoting Parents. It's an organization she started after she was laid off from USAID, shortly after she gave birth. “I really try to provide a community where people can come as they are. As I mentioned, people sometimes need to breastfeed or pump, or they […]

Google no longer ranks pages the way it used to. Technical fixes and keywords still matter, but they're no longer the deciding factor. Today, Google looks for signals that are harder to fake and easier to trust.Here are the forces shaping modern rankings: → Brand strength and demand. When people search for you by name,…

Academic and social media influencer Louisa Munch answers your questions about her left-wing politics, whether online algorithms mean she's preaching to the converted and what schools should be doing to develop critical thinking skills.She also faces questions about her support for free university education and whether she feels pressure to bend her politics to suit a more mainstream line of argument.GET IN TOUCH* WhatsApp: 0330 123 9480 * Email: radical@bbc.co.ukEpisodes of Radical with Amol Rajan are released every Thursday and you can also watch them on BBC iPlayer: https://www.bbc.co.uk/iplayer/episodes/m002f1d0/radical-with-amol-rajanAmol Rajan is a presenter of the Today programme on BBC Radio 4. He is also the host of University Challenge on BBC One. Before that, Amol was media editor at the BBC and editor at The Independent.Radical with Amol Rajan is a Today Podcast. It was made by Lewis Vickers with Anna Budd. Digital production was by Gabriel Purcell-Davis. Technical production was by Gareth Jones and Dafydd Evans. The editor is Sam Bonham. The executive producer is Owenna Griffiths.

Is the open thoracotomy becoming outdated as robotic surgery and advanced ablation techniques take center stage in lung cancer treatment? In the final discussion of the 2025 NSCLC Creator Weekend™ series, our virtual tumor board of interventional radiologists and pulmonologists from leading medical institutions discuss recent surgical and interventional advancements in the treatment of lung cancer. --- This podcast is supported by an educational grant from Johnson & Johnson and Varian. --- SYNPOSIS The conversation covers the contemporary role of PET scans, endobronchial ultrasound (EBUS), mediastinal staging, and the importance of perioperative systemic therapy. The doctors explore surgical and non-surgical methods for treating lung cancer, including lymph node dissection, criteria for resection, and the advantages of minimally invasive approaches such as video-assisted thoracoscopic surgery (VATS) and robotic-assisted surgeries.A key focus of this episode is the decision-making process for treating multifocal lung cancers while preserving lung function, and the use of combined therapies like ablation and radiation. The episode concludes with a detailed case study illustrating the long-term management of a patient with multiple lung adenocarcinomas over several years, highlighting the multidisciplinary approach required in such complex scenarios. --- TIMESTAMPS 00:00 - Introduction10:07 - Patient Selection and Comorbid Conditions27:29 - Surgical Margins and Resection Strategies42:11 - Understanding Upstaging in Cancer Treatment53:27 - Technical and Clinical Resectability56:13 - Case Study: Managing Multifocal Lung Cancer01:11:41 - Long-Term Outcomes and Treatment Strategies --- RESOURCES CALGB 140503 Trialhttps://www.nejm.org/doi/full/10.1056/NEJMoa2212083 JCOG0802 Trialhttps://www.thelancet.com/journals/lancet/article/PIIS0140-6736(21)02333-3/abstract

Episode 154 of the Award Travel 101 podcast features Angie Sparks and moderator Anthony Cave, recorded early due to scheduling, with a lighter news slate and no new card bonuses or trip updates from Angie. The highlight of the week was a reflective community post where members shared their best award travel experiences of 2025, ranging from aspirational first-class flights like Swiss, Emirates, and Singapore Suites to more personal moments such as traveling with loved ones or beginning retirement abroad. In news, the hosts discussed Bilt's new real-time award flight search tool, rumors around a possible “Bilt 2.0” card with mortgage-earning potential, JetBlue's still-active ultra-low 800-point award flights, improving Alaska partner earning rates in 2026, and a Marriott-to-Singapore Airlines status pathway.Anthony shared that while he hasn't picked up new bonuses, he's been maximizing Amex credits and is planning a big winter trip to either Europe or Asia, along with booking some comped cruises. The main topic of the episode was a deep dive into the Choice Privileges rewards program, including the newly introduced Titanium status tier. Key elite benefits include free breakfast at former Radisson properties for Diamond members, a new Titanium award, and the standout perk of being able to book suites for the same number of points as standard rooms. Downsides include resort fees on award stays and inconsistent late checkout.The hosts outlined how Choice status is relatively easy to earn through its two credit cards, which provide automatic status, elite night credits, and strong earning categories. They also highlighted valuable redemption sweet spots—such as hotels in Prague, Vienna, Tokyo, and Auckland for surprisingly low point totals—and favorable transfer ratios from major bank programs. The episode wrapped up with a reminder that Marriott PointSavers awards can only be searched on desktop, making it a useful but often overlooked tool.Episode Links:Bilt Search ToolAlaska Atmos Increased EarningJetBlue 800 point FlightsSingapore Status MatchWhere to Find Us The Award Travel 101 Facebook Community. To book time with our team, check out Award Travel 1-on-1. You can also email us at 101@award.travel Buy your Award Travel 101 Merch here Reserve tickets to our Spring 2026 Meetup in Phoenix now. award.travel/phx2026 Our partner CardPointers helps us get the most from our cards. Signup today at https://cardpointers.com/at101 for a 30% discount on annual and lifetime subscriptions! Lastly, we appreciate your support of the AT101 Podcast/Community when you signup for your next card! Technical note: Some user experience difficulty streaming the podcast while connected to a VPN. If you have difficulty, disconnect from your VPN.

In this podcast Francis Diamond, Aditya Chordia and Khagendra Gupta discuss some key themes in European rate markets for January, focusing on Euro area supply and technicals and an update on UK rate views.   This podcast was recorded on 09 January 2026. This communication is provided for information purposes only. Institutional clients can view the related report at https://www.jpmm.com/research/content/GPS-5167154-0 for more information; please visit www.jpmm.com/research/disclosures for important disclosures. © 2026 JPMorgan Chase & Co. All rights reserved. This material or any portion hereof may not be reprinted, sold or redistributed without the written consent of J.P. Morgan. It is strictly prohibited to use or share without prior written consent from J.P. Morgan any research material received from J.P. Morgan or an authorized third-party (“J.P. Morgan Data”) in any third-party artificial intelligence (“AI”) systems or models when such J.P. Morgan Data is accessible by a third-party  

Welcome solo and group practice owners! We are Liath Dalton and Evan Dumas, your co-hosts of Group Practice Tech. In our latest episode, we share what to do as a practice owner to prevent email hacks, and how to respond if one occurs. We discuss: Technical and behavioral measures to take to prevent email hacks Mandating two-factor authentication system-wide Education and staff training for prevention Creating a shame-free security culture in your practice Steps to take if you receive an email that looks suspicious Steps to take if you find out your email has been hacked Breach reporting timelines to be aware of PCT resources that guide you through security training and awareness; risk analysis and mitigation planning; and breach investigation, documentation, and reporting Ongoing training and security reminders for your team Listen here: https://personcenteredtech.com/group/podcast/ For more, visit our website.

In this episode, Jerry Bradshaw and Dr. Stewart Hilliard discuss: Why your dog training should be based on theory, pragmatic results, and experience. Theoretical vs intuitive dog training.  How is idealist training different from pragmatic training?  Why you should not be removing all stressors from your dog training.  Control and learned helplessness.   Key Takeaways: Dog training is a long series of lonely decisions. You are a team of one training your dog, and even if you have a coach, in the moment, you are the one making each decision based on the problem facing you in the moment. Technical training is great, but you do need to be able to generalize the training for different locations and situations for the best results. If, in the course of doing its job, your dog will face adversity, then having a background in overcoming some adversity in training is going to stand the dog in good stead. There is considerable discussion and data that speak to the point that the ideal state for an animal to develop in is not necessarily one that is free of stress. Aversive control can be used without producing bad welfare for the subjects of the training. On the flip side, excellent positive reinforcement technicians also produce really good results in dog training.  Animals in avoidance are not running from something; they are running to something safe.    "If you want to engage with dogs intellectually, they're a very rich topic for intellectual engagement, because they're super interesting. And you can look at them at any level you want; you can look at dog training at any level you want. And for some people, the pathway to getting really good is becoming theoretically very, very strong." —  Dr. Stewart Hilliard   Episode References:  Go to Kynology.org now and start an account to stay up to date on Kynology events, upcoming resources, and products!   Get Jerry's book Controlled Aggression on Amazon.com   Contact Stewart:  Website: https://www.caninetrainingsystems.com/  Book: Schutzhund, Theory and Training Methods - A Book by Susan Barwig and Stewart Hilliard, Ph.D. - https://www.amazon.com/Schutzhund-Theory-Training-Methods-Reference/dp/0876057318   Contact Jerry: Website: controlledaggressionpodcast.com Email: JBradshaw@TarheelCanine.com Tarheel Canine Training:  www.tarheelcanine.com YouTube:  tarheelcanine Twitter: @tarheelcanine Instagram: @tarheelk9 Facebook: TarheelCanineTraining Protection Sports Website: psak9-as.org Patreon:   patreon.com/controlledaggression Slideshare: Tarheel Canine Calendly: https://calendly.com/tarheelcanine  Tarheel Canine Seminars: https://streetreadyk9.com/  Tarheel Canine Student Portal: https://tcstudentportal.com/    Sponsors:  ALM K9 Equipment: almk9equipment.com PSA & American Schutzhund: psak9-as.org Tarheel Canine: tarheelcanine.com The Drive Company: thedriveco.com  The Drive Company Instagram: instagram.com/thedrive.co  Dog Armour: dogarmour.com  Dog Armour Instagram: instagram.com/dogarmourpro  Rogue Arsenal: roguearsenal.com  Rogue Arsenal Instagram: instagram.com/rogue_arsenal_official    Train hard, train smart, be safe.     Show notes by Podcastologist Chelsea Taylor-Sturkie   Audio production by Turnkey Podcast Productions. You're the expert. Your podcast will prove it. 

This episode explores key accounting and reporting considerations for year-end financial reporting. Technical leaders from our National Office share reminders and timely insights across a range of topics, including tariffs, income taxes, held-for-sale accounting, and other emerging issues–topics that are relevant for all finance teams, even if it's not year-end close time.In this episode, we discuss:1:52 – AI mega-deal structuring and related accounting and reporting complexities11:30 – Equity method accounting considerations and related disclosures15:58 – Tariffs and trade considerations, including inventory impacts21:38 – Crypto asset accounting models and new FASB guidance25:16 – Accounting and reporting for private credit transactions33:00 – Tax reform developments and income tax accounting40:00 – New ASUs related to derivatives and hedge accounting42:52 – Held-for-sale accounting46:00 – OECD Pillar 2 and global taxFollow this podcast on your favorite podcast app and subscribe to our weekly newsletter to stay in the loop.About our guestsBret Dooley is a PwC National Office Deputy Chief Accountant who leads teams focused on the financial services sectors and accounting for financial instruments. He has over 25 years of experience in the financial services, banking, and capital markets industries. Bret focuses on emerging financial reporting issues related to financial instruments, developing interpretive guidance, and assisting clients in resolving complex accounting matters.Pat Durbin is a PwC National Office Deputy Chief Accountant. He has over 30 years of experience consulting with our clients and engagement teams on complex accounting matters, including issues related to revenue, compensation, income taxes, and inventory under both US GAAP and IFRS.Beth Paul is a PwC National Office Deputy Chief Accountant responsible for a team of consultants that specialize in business combinations and related areas, such as consolidations, disposals, impairments, and segment reporting. She has over 30 years of experience consulting with clients and engagement teams on complex accounting matters.About our guest hostTom Barbieri is PwC's US Chief Accountant. He has over 30 years of experience advising large financial services and multinational corporations on complex accounting issues. Tom leads the Accounting & SEC Services Group within the National Office, which is focused on supporting our clients and engagement teams in navigating complex technical accounting and financial reporting matters. He is also a member of the Financial Accounting Standards Advisory Council.Transcripts available upon request for individuals who may need a disability-related accommodation. Please send requests to us_podcast@pwc.comDid you enjoy this episode? Text us your thoughts and be sure to include the episode name.

The last Foetus album in JG Thirlwell's uncompromising four-plus decade run under the fluid moniker has been released, and we're discussing Halt in detail on this week's podcast. What's changed and what hasn't with regards to Thirlwell's brand of misanthropy, as well as how his increasingly ambitious orchestral arrangements have been folded back into the free-roaming experimental industrial project are just some of the points we're touching upon.

The Senate Agriculture Committee, which has oversight over the Commodity Futures Trading Commission, will hold that markup hearing on Jan. 15, a committee spokesperson said.Guest: Tim Warren, Host of Investing BrozInvesting Broz Youtube ➜ ‪‪  @TimWarrenTrades  Follow on Twitter ➜  @timsta6753   00:00 Intro00:10 Sponsor: BTCC01:00 Opportunity time?04:15 Mike Wilson: Difference between the end 2025 and today08:15 Senate nears deal?08:30 Congress trading in 202509:15 Paul CLARITY Bill theory11:30 Tariff Volatility incoming?13:00 ETH analysis16:00 ETH price end of January16:50 Solana analysis18:30 Tim Top token for 202620:30 Charles bids farewell22:30 Will this hurt ADA?24:30 Zcrash25:30 AVAX analysis29:30 DATs Dead?33:30 Outro#Crypto #Bitcoin #ethereum~Crypto Rally Countdown

What is the point of going to university? In this episode, Amol sits down with the critical theorist, academic and social media influencer Louisa Munch who thinks you shouldn't have to pay for higher education. With the graduate premium in decline, she explains why people should go to university to gain knowledge rather than get a job because she believes having an informed society is good for everyone in an era of competing narratives about the past. She also reflects on why people of her generation feel disillusioned and what can be done to give them some hope for the future. (00:05:04) What is critical theory? (00:06:06) Why she believes university should be free (00:12:50) University as a meritocracy (00:18:45) Is student debt worth it? (00:22:06) Thoughts on class divide (00:26:23) Nostalgia and the far right (00:37:28) Disenchantment about the future (00:43:32) Nostalgia in contemporary politics (00:47:30) Louisa's RADICAL ideas (00:49:08) Political movements of the next generationGET IN TOUCH: * WhatsApp: 0330 123 9480 * Email: radical@bbc.co.uk Episodes of Radical with Amol Rajan are released every Thursday and you can also watch them on BBC iPlayer: https://www.bbc.co.uk/iplayer/episodes/m002f1d0/radical-with-amol-rajan Amol Rajan is a presenter of the Today programme on BBC Radio 4. He is also the host of University Challenge on BBC One. Before that, Amol was media editor at the BBC and editor at The Independent. Radical with Amol Rajan is a Today Podcast. It was made by Lewis Vickers with Anna Budd. Digital production was by Gabriel Purcell-Davis. Technical production was by Gareth Jones and Dafydd Evans. The editor is Sam Bonham. The executive producer is Owenna Griffiths.

Today's Topic:1. Sound Signature Review 6.209 – Stealth Additive Works Tisha on the 10.3-in 5.56 MK18. What happens when high level engineering combines all the hybrid design principles we've been discussing on this podcast for years into a compact silencer design, and additive manufacturing makes it possible to produce? You get things like this. This is the technical discussion to accompany the report published 22-DEC-2025. (00:09:50)a. Intro and recap (00:10:53)b. Tisha physical overview (00:13:48)c. Tisha silencer design (00:31:35)d. Silencer Hazard Map Brief 8.1.7 (00:50:28)e. System performance (01:02:20)f. Overall thoughts (01:20:10)Sponsored by - Silencer Shop, Top Gun Range Houston, Legion Athletics, Capitol Armory, and the PEW Science Laboratory!Legion Athletics: use code pewscience for BOGO off your entire first order and 20% cash back always!Magpul: Use code PSTEN to receive $10 off your order of $100 or more at Magpul

In this episode, I'm breaking down a guide from Ben Tossel on how you can actually build with AI agents without being technical. I walk through what he's shipped as a “non-technical” builder, why he lives in the terminal/CLI, and the exact workflow he uses to go from idea → spec → build → iterate. We also talk about the meta-skill here: treating the model like your over-the-shoulder engineer/teacher, and using every bug as a learning checkpoint. The takeaway is simple: pick a tool, ship fast, fail forward, and build your own system as you go. Ben's Article: https://startup-ideas-pod.link/Ben-Tossell-Article Timestamps 00:00 – Intro 01:04 – What Ben Has Shipped 03:21 – The Workflow: Feed Context → Spec Mode → Let The Agent Rip 07:52 – His Agent Setup 08:56 – Coding On The Go 10:07 – Things to Learn 13:33 – The New Abstraction Layer: Learning To Work With Agents 14:33 – Learning from Others 16:15 – Use The Model As Your Teacher (Ask Everything) 18:13 – Contributing to Real Products 19:13 – Why this is Different 21:31 – Asking Silly Questions 24:00 – Beyond “Vibe Coding”: A New Technical Class 24:43 – Vibe Coding is a game 27:12 – Fail Forward + Permission To Build And Throw Things Away 28:16 – Pick One Tool, Minimize Friction, Keep Shipping Key Points I don't need to be a traditional engineer to ship—I can learn by watching agent output and iterating. The terminal/CLI is the power move because it's more capable and I can see what the agent is doing. “Spec mode” works best when I interrogate the plan like a philosopher instead of pretending I understand everything. agents.md becomes my portable instruction manual so every new repo starts clean and consistent. The fastest learning path is building ahead of my capability and treating bugs as checkpoints—fail forward. Numbered Section Summaries The Thesis: Non-Technical Doesn't Mean Non-Builder I open with Ben's core claim: you can ship real software by working through a terminal with agents, even if you can't write the code yourself—because you can read the output and learn the system over time. Proof: What He's Actually Shipped I run through examples Ben built—custom CLIs, a crypto tracker, “Droidmas” experiments, an AI-directed video demo system, and automations that keep projects moving even when he's away from his desk. The Workflow: Context → Spec Mode → Autonomy High Ben's process is straightforward: talk to the model to load context, switch into spec mode to pressure-test the plan, link docs/repos for exploration, then let the model run while he watches and steers when needed. http://agents.md/ The “Readme For Agents” That Follows You Everywhere I explain why agents . md matters—one predictable place to tell your agent how you want repos structured, how to commit, how to test, and what “good” looks like so each session gets smoother. Coding On The Go: PRs, Issues, Phone, Telegram, Slack We get into the real “agent native” behavior: install the GitHub app, work via pull requests and issues, tag the agent to self-fix, and even push changes from your phone—plus using Slack as a one-person “product” with an agent in the loop. Learning The Primitives: Bash, CLIs, VPS, Skills I cover the building blocks Ben's learning: bash commands and repeatable terminal workflows, preferring CLIs over MCPs to save context, and using a VPS + syncing to keep projects always-on. The Mindset Shift: The Model Is The Teacher The real unlock is treating the model like your patient expert—ask everything you don't understand, bake “explain simply” into your agent instructions, and close knowledge gaps as they appear. Fail Forward, Pick One, Keep Shipping I end on the playbook: build ahead of your capability, treat it like play, give yourself permission to throw things away, and stop tool-hopping—pick one system and go deep. The #1 tool to find startup ideas/trends - https://www.ideabrowser.com LCA helps Fortune 500s and fast-growing startups build their future - from Warner Music to Fortnite to Dropbox. We turn 'what if' into reality with AI, apps, and next-gen products https://latecheckout.agency/ The Vibe Marketer - Resources for people into vibe marketing/marketing with AI: https://www.thevibemarketer.com/ FIND ME ON SOCIAL X/Twitter: https://twitter.com/gregisenberg Instagram: https://instagram.com/gregisenberg/ LinkedIn: https://www.linkedin.com/in/gisenberg/

Dr. Adam Link: Communication Builds Technical TrustIn this episode of Teach the Geek Interviews, I speak with engineering manager Dr. Adam Link about why communication becomes a leadership requirement for technical professionals. We discuss what breaks down when engineers struggle to explain their work to nontechnical stakeholders and how those breakdowns affect trust, alignment, and business outcomes. The conversation also explores what managers look for in engineers ready for more influence and practical habits that help technical ideas land with the right audience.To learn more about Dr. Link, visit https://www.linkedin.com/in/adamlink/__TEACH THE GEEK (http://teachthegeek.com) Prefer video? Visit http://youtube.teachthegeek.comGet Public Speaking Tips for STEM Professionals at http://teachthegeek.com/tips

Even billion-dollar teams start simple first. Rags Vadali's team at Meta gave small businesses in Brazil two phones—one red, one blue—and spent two months tracking every customer message in a spreadsheet. No fancy tech. No code. Just analog data collection. That experiment validated what became a $5 billion product. In this episode, Rags explains why the hardest part of building a tech product has nothing to do with technology—and why non-technical founders who understand this have a massive advantage in 2026. What you'll learn: Why Meta validated billion-dollar products with spreadsheets before writing code The difference between what to build (your job) and how to build it (AI's job) Why talking to customers beats "figuring it out" behind your computer Why 2026 is the best time in history for non-technical founders to start If you're ready to stop overthinking and start building, this episode will show you exactly where to begin. P.S. This January, Rags is joining Tech for Non-Technical Founders as a guest instructor. If you want 1:1 coaching from someone who has launched products to 600 million people, enrollment opens January 13th. Details at the end of the episode. Resources from this Episode FREE class: From Business Owner to Tech Founder, without the $100,000 developer disaster Join this class to learn: The 2-step framework to go from idea to scalable tech product Why smart business owners waste $100k+ on their first tech venture—and how to avoid it When AI helps vs. when it destroys products (and your ROI) Sign up here: https://www.techfornontechies.co/january Follow and Review: We'd love for you to follow us if you haven't yet. Click that purple '+' in the top right corner of your Apple Podcasts app. We'd love it even more if you could drop a review or 5-star rating over on Apple Podcasts. Simply select "Ratings and Reviews" and "Write a Review" then a quick line with your favorite part of the episode. It only takes a second and it helps spread the word about the podcast. Episode Credits If you like this podcast and are thinking of creating your own, consider talking to my producer, Emerald City Productions. They helped me grow and produce the podcast you are listening to right now. Find out more at https://emeraldcitypro.com Let them know we sent you. For the full transcript, go to https://www.techfornontechies.co/blog/286-lessons-from-meta-and-google-for-non-technical-founders-in-2026  

Today we had Max Rushden joined by Charlie Baker. They were joined by the one and only former West ham manager Harry Redknapp to discuss what is going wrong with the Hammers this season and get his opinion on Nuno! As well as comedian and Celtic fan Vittorio Angelone and Martin Gritton to discuss Rosenior's move to Chelsea and reminisce his time playing alongside the now Blues manager!! AND SO MUCH MORE! Hosted on Acast. See acast.com/privacy for more information.

How do you combat low returns? Be adaptive. Using Redox Bio-Nutrients technology affords the flexibility and specificity needed to succeed, even in a down economy.In this episode, Redox agronomists Jeff Yoder and Bill Schwoerer outline growing strategies that allow for flexibility in the field, while still achieving strong yields and quality. Their recommendations include RootRx® for crop establishment, optimizing nitrogen through RDX-N®, adding vital calcium nutrition through Mainstay® Calcium 2.0 and managing in-season stress with diKaP™.Redox products are meticulously designed to achieve you farm's yield potential through Redox Active Molecules (RAM™) and maintaining plant charge balance.

Kevin Horner's Technical Tuesday covers the S&P 500 (SPX), Rivian (RIVN) and Intuitive Surgical (ISRG). On the S&P 500, he highlights the 50-day moving average as a place to watch and expects a bullish tilt. Rivian has a “really great report” in early November and rallied 80%, breaking $20 for the first time. Kevin points out what to watch to the upside or downside from here. He sees an ascending triangle pattern for Intuitive Surgical.======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

BSG's adjunct professor & head comedian explain the difference between terms like rolled, flaked, toasted, micronized, and torrified; How it's all made, what's "mash ready," what's not, and why. Special Guests: Allen Young and Ashton Lewis.