Podcasts about Technical

Joe and Robert are back to break down RuPaul's Drag Race Season 18, Episode 4, the Red Carpet Mashups design challenge—and this week's conversation covers everything from high-fashion expectations to one of the most debated moments of the season so far. The episode kicks off with a love letter to design challenges, as Robert explains why watching queens build looks from scratch remains his favorite part of Drag Race. From there, the conversation quickly turns to the runway itself, where classic pop culture fashion moments are reimagined with mixed results. A major portion of the episode centers on Briar Blush's fainting moment on the main stage. Joe and Robert carefully unpack the fan discourse, production choices, and tonal whiplash of the episode—questioning how Drag Race has handled medical moments in the past versus now, and whether production's response felt appropriate, humane, or purely pragmatic. While Robert leans toward believing the faint was real, Joe remains more conflicted, openly grappling with his reluctance to take a hard stance in a pop-culture environment that often rushes to judgment. Joe and Robert go head-to-head over the runway pairings, offering candid takes on execution, drag versus fashion, and judging logic: Juicy Love Dion vs. Briar Blush – Strong praise for Juicy's look and overall polish. Discord Adams vs. Jane Don't – Technical skill versus aesthetic appeal sparks debate. Mikey Meeks vs. Nini Coco – A clash between runway fashion sensibility and traditional drag excess. Sierra Mist vs. Kenya Pleaser – Construction choices, concept fidelity, and a surprise freezer-meat reveal. Mia Star vs. Vida Von T Star – A deserved win for Vida, with overdue recognition for Mia's mug and hair. Darlene Mitchell vs. Athena Love Dion – Shoes, styling, and the limits of runway camera work. Along the way, Joe raises broader questions about Drag Race's increasing emphasis on high-fashion standards, Law Roach's judging persona, and whether the show is drifting further from drag toward pure runway critique. Despite tonal inconsistencies and judging frustrations, both hosts agree this was one of the stronger episodes of the season—especially for fans who crave construction challenges and visual storytelling. The episode closes with reflections on fairness, fandom discourse, and anticipation for what's coming next as the competition heats up.

Today's Topics:1. Sound Signature Review 6.211 – Dillon DRC308 on the 14.5-in SR-25. Kicking off the SR-25 research progression, the larger brother of the previously evaluated DRC556 is put through its paces on this challenging host. This is the technical discussion to accompany the report published two weeks ago before SHOT show.a. Intro and recap (00:06:03)b. DRC308 physical overview (00:07:57)c. DRC silencer design (00:12:06)d. Hazard Map Brief 8.1.8 (00:17:26)e. System performance (00:25:08)f. Overall thoughts (00:43:33)2. Sound Signature Review 6.212 – Precision Armament TiTrex 300 on 20-in .308 bolt-action. We haven't published a bolt-action report since May of last year! Let's revisit this ubiquitous and useful host platform to examine this highly optimized 3D-printed silencer. The performance is quite interesting! This discussion introduces today's published report. (00:47:26)3. Hunted again with the 300 BLK 6.75-in Sig MCX “LVAW!” Less than a week after my previous report to you in which I took a whitetail doe, I took a spike buck in late season with the same ammunition. Some lessons learned to report! (00:55:57)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

The biggest tech news & social media trends on the internet from January 28th, 2026.Join our Patreon https://www.patreon.com/cw/CentennialWorld  Timestamps:00:00 Intro1:40 TikTok and the US government close the deal to spin off TikTok5:42 Investors leading the TikTok USDS joint venture8:10 Allegations of censorship on US TikTok  11:00 Glitches & TikTok's data centre power outage 13:00 Changes to TikTok's privacy policy 15:17 Alternative platforms to TikTok gaining traction: UpScrolled, Skylight & Monnett17:41 Will people stick to the alternative platforms? What is next for US TikTok?   Subscribe to Spotify: https://open.spotify.com/show/18cqrQI7gMiVfxIMRAeULF   Subscribe to Apple Podcasts: https://podcasts.apple.com/au/podcast/infinite-scroll/id1499785732   Subscribe to our weekly Substack: https://centennialworld.substack.com/   Follow us on Instagram: https://www.instagram.com/infinitescrollpodcast/   Follow our publication: https://www.tiktok.com/@centennialworld   Follow Lauren on Instagram: https://www.instagram.com/laurenmeisner_/   Follow Lauren on TikTok: https://www.tiktok.com/@laurenmeisner_Please consider buying us a coffee to help keep Centennial World's weekly podcasts going! Every single dollar goes back into this business

The IDW Editors of The Twilight Zone Ellen Boener and Nic Nino talk to me about the new series. It's a great collection of one and done stories that honor the tone and spirit of the iconic show.Technical issues really messed up the majority of the talk.Apologies, the arctic weather has been screwing with my streaming ability

University of Wyoming Throws Coach Paul Barrett joins Airey Bros Radio for a first-ever deep dive with a throws coach — and he delivers a masterclass on NCAA throws development, strength & conditioning, and how to build a quietly dominant program for nearly three decades.Barrett is in his 27th season at Wyoming and has coached 2 NCAA champions, 22 All-Americans, 36 conference champions, and 127 all-conference finishers. We break down his award-winning year (USTFCCCA Mountain Region Men's Assistant Coach of the Year), the rise of NCAA champion Daniel Reynolds, and why Barrett's training approach is the opposite of what most people expect: low volume, high recovery, high results.If you're a throws athlete, football player considering track, a high school coach trying to learn throws, or a recruit looking for a real pathway — this episode is loaded with practical coaching insight and recruiting advice.In this episode:How Paul went from wrestling → sprints/long jump → hammer throwWhy he loves JUCO recruiting (and why NWAC athletes get overlooked)What he looks for in a hammer/weight throw prospectThe training week that helped turn Daniel Reynolds into an NCAA championWhy Olympic lifts matter (and what they actually do in-season)The #1 thing high school throwers must fix on their Instagram recruiting pageWyoming's team culture, academics, facilities, and what surprises recruits mostFollow Coach Barrett: Instagram — @yo_pokes_throwsFueled by: Black Sheep Endurance CoachingValue for Value: Buy us a coffee (link in your ABR bio/show notes)Show Notes + Timestamps: 0:13 – Show open (Howdy & Aloha, value-for-value, Black Sheep Endurance)1:17 – Guest intro: Paul Barrett's résumé + Wyoming throws legacy2:37 – ABR milestone: first throws coach on the show3:18 – Where to find Coach Barrett: IG @yo_pokes_throws3:48 – Throughline: shoutout to Coach Sean McLachlin (NWAC connection)4:26 – Origin story: wrestling → sprinting/long jump → throwing discovery5:51 – Where he grew up: Texas/Kansas/Wyoming/Washington State6:28 – Spokane CC dynasty + NWAC dominance7:42 – JUCO recruiting: why he actively watches NJCAA + NWAC9:39 – Why JUCO athletes often become his hardest workers10:10 – Favorite event: hammer throw (as athlete + coach)11:15 – Hammer recruiting: what to look for if an athlete hasn't thrown hammer12:46 – Getting into coaching + love for strength & conditioning13:44 – Strength → throws transfer: why power matters14:38 – Key lifts: Olympic lifts, squats, core integration15:35 – Coaching progression: straight into S&C + throws roles16:27 – Recruiting battles: football vs track (and why “both” rarely works)18:11 – Why football players should do track (explosiveness + goals)19:29 – 27 years at Wyoming: how his coaching evolved20:13 – What he wants in recruits: work ethic + academics21:04 – Event setup: usually 2 events per athlete (team scoring strategy)21:49 – Geography: why he tends to recruit the West/Mountain/NW22:43 – Recruiting today: athletes DM him on Instagram (huge tool)23:57 – Daniel Reynolds story: seeing raw power → portal → instant potential25:16 – Technical changes + biggest difference: recovery + low-volume plan26:27 – Meaning of the national title (recruiting + recognition)27:06 – Day-in-the-life training: the shockingly short week (recovery focus)29:17 – In-season lifting: hang cleans + front squats + close-grip bench30:35 – Sets/reps: low reps (5–1), maintain power without beating them up31:02 – Daniel's numbers: hang clean 425 + speed/power combo31:52 – Season update: young talent + goals for indoor postseason32:40 – Postseason timeline: conference late Feb/early March, NCAAs mid-March33:39 – Why “less is more” (injury reduction + quality training)35:04 – Advice to HS throwers: build a real recruiting IG + post lifting/throws36:40 – Advice to HS coaches: YouTube + clinics (why throws improved recently)38:02 – Team culture: small town, tight-knit program, family vibe39:22 – Academics: engineering/agriculture + strong athlete academic support41:23 – Wyoming surprise factor: facilities, funding, athlete dining, resources43:01 – Winter reality + altitude: dry cold, longer season, indoor throwing option45:11 – Final Four: coffee order, mindset, music, guilty pleasure50:14 – Outro: upcoming ABR episodes (Nate Shearer + James Overheiser)

The Pure Report welcomes two key members of Pure's Technical specialist team, Principal Technologist Joey Clark and Field Solution Architect Drew Kessel (who covers Cyber Resilience). Our conversation begins with a look at their backgrounds, including their surprising common start in healthcare IT, and the value of professional development, like Pure's EBC speaker training. We quickly pivot to the successes Pure is seeing in the areas of file, object, and unstructured data, driven by innovative products like FlashBlade and FlashArray. The core of our discussion centers on why Pure is successfully tackling the toughest challenges in unstructured data, noting the significant shift to object storage for backup, which provides benefits like immutability via object lock. Joey and Drew highlight how Pure's unique approach—focusing on simplicity and eliminating "tech debt"—is resonating with customers and leading to major business breakthroughs. This success is made stronger by strategic partnerships with data protection leaders like Rubrik, Commvault, and Veeam, creating a connected ecosystem that delivers layered resilience against modern threats. Finally, we explores the powerful narrative of the Enterprise Data Cloud (EDC), with Fusion acting as the intelligent control plane. We discuss how Fusion is the vehicle for EDC, helping customers mitigate risk and human error through automation. This includes using presets to enforce protection policies (like SafeMode snapshots and replication) and delivering audit and compliance alerts when security settings are changed. Drew shares a powerful, real-life customer success story of an 8-hour recovery from a cyber event using Pure snapshots, emphasizing that cyber resilience is a unified team sport that requires both infrastructure and security teams to collaborate. To learn more, visit https://www.purestorage.com/products/storage-as-code/pure-fusion.html Check out the new Pure Storage digital customer community to join the conversation with peers and Pure experts: https://purecommunity.purestorage.com/ 00:00 Intro and Welcome 09:02 File and Object Momentum 16:45 SLA-Backed Cyber Recovery 20:20 Fusion Presets and Cyber 27:33 Cyber and Enterprise Data Cloud 34:06 Bridging Cyber IT to Security Teams and CISOs 38:11 Pure Tech Summit Events 42:11 Hot Takes Segment

Send us a textPeaches and Trent break down what's actually changing in Air Force Basic Military Training 3.0—and why most of the outrage is missing the point. From mock airfields, F-16s, and C-130s to Pacer Forge becoming a true crucible, this episode explains why BMT isn't about technical mastery—it's about mindset, teamwork, and connecting Airmen to the mission early. They tackle scale, cost, culture, and why “we never did this before” is the weakest argument in the comments. Less classroom. More context. More stress. More purpose. If you think BMT should stay easy because it always has been, this episode is going to bother you.⏱️ Timestamps: 00:00 Ones Ready intro and why BMT 3.0 matters 03:10 From drill pad to airfield explained 05:45 What the mock airfield actually trains 08:40 Technical accuracy vs mindset 12:30 Scale problem: 35K+ Airmen a year 16:00 Pacer Forge as the Air Force crucible 19:30 Why BMT got watered down 23:10 Pendulum swings and MTI constraints 27:00 Soft skills instructors are grading 30:45 “Waste of money” argument destroyed 35:00 Why every Airman needs context 39:30 Culture, identity, and mission connection 44:00 Iteration beats stagnation 48:30 Why change always looks messy 52:30 Momentum vs platitudes 57:00 Fighter jets, pilots, and future warfare 01:02:00 Final thoughts on BMT's direction

Recipe, process, and key considerations when brewing modern West Coast IPA.Special Guest: Ben Edmunds.

In this comprehensive session, Favour Obasi-ike, MBA, MS explores the strategic nuances of email marketing. The discussion transcends basic sales tactics, positioning email as a foundational pillar for business documentation, professional credibility, and high-impact communication. Favour emphasizes that while social media platforms often dominate the marketing conversation, email remains a superior channel for conversion and long-term relationship building. The session provides a detailed roadmap for entrepreneurs and developers alike, covering technical infrastructure, audience psychology, and the necessity of intentional engagement.Strategic Insights and Market ComparisonsThe conversation highlights a stark contrast between the ephemeral nature of social media and the enduring impact of email marketing. Favour notes that social media conversion rates typically languish below 1%, whereas search engine optimization (SEO) and email marketing can achieve conversion rates ranging from 16% to over 33%. This discrepancy is attributed to the "currency" of email: the exclusive time and attention granted by the recipient. Unlike social media posts that are quickly buried by algorithms, an email retains its conversion potential long after it is sent, provided it reaches the recipient's inbox through proper technical execution.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 Online| Marketing Channel | Average Conversion Rate | Primary Advantage || Social Media | < 1% | High initial visibility and brand awareness. || Email Marketing | 16% - 33%+ | Direct connection, longevity, and high intent. || SEO | 16% - 33%+ | Sustainable organic traffic and credibility. |Technical Infrastructure and DeliverabilityA significant portion of the session is dedicated to the technical "hygiene" required to maintain high deliverability. Favour introduces Google Postmaster as an essential tool for monitoring domain health and ensuring that communications are not flagged as spam. The technical setup involves a rigorous configuration of DNS records, including MX, SPF, and DKIM, which serve as the digital credentials for a legitimate sender. Furthermore, the discussion touches upon the physical properties of an email, such as file size and font optimization, which can inadvertently trigger spam filters if not managed correctly.| Technical Component | Purpose | Best Practice || Google Postmaster| Domain Health Monitoring | Regularly check [postmaster.google.com](https://postmaster.google.com). || MX, SPF, DKIM | Authentication & Compliance | Ensure all DNS records are correctly configured. || List Hygiene | Deliverability Maintenance | Clean the list after every campaign to remove bounces. || Email Size| Spam Prevention | Use standard fonts (16px-20px) to keep file sizes low. || Segmentation| Engagement Tracking | Group audiences by behavior or interest for targeted messaging. |Content Strategy and Audience EngagementFavour and his guests, including the developer Ifeanyi, discuss the shift toward more sophisticated, developer-friendly tools like Resend, which allow for scalable, code-driven email templates. The consensus is that modern audiences do not "read" in the traditional sense; instead, they "skim" for value. Consequently, the use of listicles, bullet points, and concise subject lines is paramount.A professional subject line should ideally be limited to three or four words to avoid appearing "junior," while the preview text should be leveraged to provide the necessary context that encourages a click.The session concludes with a call for intentionality in marketing. Favour suggests a "Want vs. Need" framework: use the subject line to address what the audience *wants* (immediate value or curiosity), and use the body of the email to deliver what they *need* (tutorials, case studies, or interactive elements like polls). This approach ensures that the communication is not just seen, but acted upon.Podcast Episode Timestamps[00:00] – Introduction to the role of email in documentation and professional communication.[01:03] – Favour Obasi-ike's background in intellectual property and search engine marketing.[02:35] – Comparative analysis of conversion rates across social media, SEO, and email.[04:50] – Technical requirements for deliverability: Google Postmaster and MX record configuration.[06:16] – Reflections on the "We Don't PLAY™️" podcast and Favour's six-year tenure on Clubhouse.[22:37] – The impact of font selection and email file size on technical deliverability.[23:53] – Strategies for audience segmentation and the importance of reviewing engagement analytics.[24:26] – Managing hard and soft bounces through consistent list hygiene.[28:44] – Guest contribution from Ifeanyi on using "Resend" and React for scalable email infrastructure.[45:20] – Timing strategies: Measuring audience activity windows for optimal email delivery.[46:25] – The psychology of subject lines: Why brevity (3-4 words) signals professional maturity.[47:43] – The "Want vs. Need" framework for content delivery and engagement.[49:36] – Utilizing polls for market research: A case study on Google vs. Perplexity preferences.[52:02] – The efficacy of listicles and skimming-friendly formats in modern digital communication.About Favour Obasi-ikeFavour Obasi-ike is a prominent business consultant and entrepreneur specializing in helping creators and business owners secure their intellectual property through search engine marketing, Pinterest, and podcasting. He is the host of the "We Don't PLAY™️" podcast, a long-running series with over 610+ episodes spanning seven years.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

It's an annual tradition, the AVNation "Best of" Awards, and Chi Hang Lo is up for AV Professional of the Year, along with UCLA's Classroom Modernization Pilot, and HETMA for Best Technical Support! Take a listen as Joe Way sits down with Chi to discuss this honor and why you should #VoteForChi.Joe Way drops a special Friday episode to spotlight the AV Nation Awards (Readers' Choice “Best of 2025”) and rally the higher ed community around three finalists: Chi Hang Lo for AV Professional of the Year, UCLA's Classroom Modernization Pilot for Project of the Year, and HETMA for Best Technical Support. Chi joins to share what the nomination represents, why the UCLA pilot is different, and how the higher ed community lifts each other up through collaboration, shared evaluation, and real-world support. The episode closes with a clear call: go vote, support the people and projects pushing the industry forward, and keep building a better future together.Vote now: https://www.avnation.tv/avnation-best-of-2025-awards/Featured GuestChi Hang Lo — Manager, AV/IT Solutions (UCLA)Leads a team designing and delivering scalable AV + IT solutions that support UCLA's learning environments and broader smart campus vision.What You'll Hear in This Episode1) Why this episode, and why nowA bonus Friday release to interrupt the usual schedule and highlight the AV Nation Awards as a uniquely people-driven recognition.Joe frames Readers' Choice as a rare moment for the industry to advocate for the people, projects, and platforms that matter most to the community.2) The three higher ed finalistsChi Hang Lo — AV Professional of the Year finalistUCLA — Project of the Year finalist for the Classroom Modernization PilotHETMA — Technical Support finalistJoe emphasizes how significant it is to see higher ed represented across multiple major categories in the finals.3) The UCLA Classroom Modernization Pilot: what makes it specialChi explains why the pilot stands out as more than a refresh—it's a different way of thinking:Moving from traditional room-by-room AV to a cloud-first, scalable control approach designed for enterprise scale (think: up to 1,000 spaces).Leveraging web technologies, REST APIs, and integrations to enable flexibility, interoperability, and future growth.Building for adaptability so the system isn't locked to one manufacturer ecosystem—prioritizing integration-first design and long-term scalability.Aiming toward a platform approach: “AV as a platform” that can support more than AV control.4) The “why” behind going cloud-firstJoe asks the question everyone asks: why not just keep doing “simple” AV? Chi's answer points to:Preparing the team—and the campus—for the future skill sets needed in modern learning environments.Meeting expanding demands: conferencing, capture, collaboration, active learning, and rapid shifts in pedagogy.Treating AV as part of a broader AV/IT solutions ecosystem, not a standalone technical island.5) Smart campus, not just AVThe conversation expands into the broader vision:AV systems already contain meaningful data (occupancy, environmental signals, usage patterns)—the opportunity is connecting it to the rest of campus.Collaboration across departments (facilities, security, events, transportation, IT, and more) becomes possible when you build a platform that can integrate.Chi shares work toward data aggregation and dashboards, including collaboration with a Data Lake approach to create better operational insight and decision-making.6) The team behind the pilotChi introduces the core members of his team and their contributions:Project coordination and process leadership (including agile/scrum-style development support)Technical design and 2D/3D modeling workflows, standards-based design language for facilities alignmentSoftware/automation engineering, signal distribution/recording, and architecture to connect devices to the cloudPartnerships with manufacturers to improve firmware/APIs and enable deeper integration at scaleJoe underscores how innovation required close collaboration between UCLA, solution providers, and manufacturers—engineering alongside engineering.7) Career growth: from technical expert to leaderJoe shifts the conversation to professional development: what changes when you move from “doing” to “leading.”Chi shares leadership themes that have guided him:Staying humble, collaborative, and relationship-drivenBalancing strong technical conviction with empathy and communicationCreating opportunities for the next generation by helping people navigate common roadblocks (communication, attitude, relationship dynamics)Treating the industry like a community—because you'll keep working with the same people for years8) The HETMA community impactChi shares how community support—especially collaborative technology evaluation and shared learning—helps smaller institutions gain access, influence, and manufacturer attention they might not get alone. Joe reinforces the higher ed ethos: we're collaborators, not competitors.Memorable Moments / Quotes (paraphrased)The awards matter because the people choose—it's advocacy, not just adjudication.The pilot isn't just “AV”—it's building infrastructure for a smart campus platform.The real work is turning AV data into insight and integration that improves the campus experience.Calls to ActionVote for Chi Hang Lo — AV Professional of the YearVote for UCLA's Classroom Modernization Pilot — Project of the YearVote for HETMA — Technical SupportAnd vote for the products, people, and projects you believe represent the best of 2025.Vote now: https://www.avnation.tv/avnation-best-of-2025-awards/Connect with Chi Hang Lo: https://www.linkedin.com/in/chihanglo/

Episode 156 of the Award Travel 101 podcast opens with Cameron Laufer and Mike Zaccheo discussing a strange and unsettling incident shared in the Award Travel 101 Facebook group, where a traveler appeared to be panhandled inside DFW airport using a dubious story involving an “emergency passport.” The hosts agree the situation didn't add up and use it as a springboard to talk about staying alert in airports. They then move into news and updates, covering several current travel and credit card developments, including a new Hyatt welcome offer with five free nights, an enhanced Capital One Venture bonus, American Airlines elite status buy-up offers, Alaska Airlines' “Ski Free” promotion, and news of a proposed Sun Country–Allegiant merger. Both hosts also share recent personal card approvals, retention offers, and trip updates, highlighting how points and miles were used for travel to New York, Key West, Europe, Mexico, and Park City.The main topic of the episode is a deep dive into the controversial rollout of “Bilt 2.0,” including new card tiers (Blue, Obsidian, and Palladium), the introduction of “Bilt Cash,” and major changes to how rent and mortgage payments earn points. Mike and Cameron break down the math behind the new earning options, explaining how cardholders now need significant non-bonus spend to earn rent or mortgage points fee-free, which sparked backlash from users who felt the program's core promise had shifted. They discuss why the rollout caused a firestorm—citing complexity, perceived deception, and new earning restrictions—while also acknowledging positives like welcome bonuses, mortgage eligibility, higher potential earn rates, and strong transfer partners such as Hyatt.In closing, the hosts offer balanced perspectives on who the revamped Bilt program may or may not be for. Cameron views it as potentially attractive for non-renters seeking strong transfer partners and solid earn rates on everyday spend, while Mike urges listeners to focus on opportunity cost and not get swept up in hype without doing the math. The episode wraps with a practical “tip of the week,” advising travelers to be proactive and push for better hotel accommodations when airlines strand them overnight due to delays or missed connections.Episode Links:Hyatt 5 Night OfferCapital One Venture OfferAmerican Status Buy up OffersFly Alaska Ski FreeSun County/ Allegiant MergerBilt 2.0 DetailsWhere 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.

00:01 – Cold open, welcome back, Season 7 kickoff, and server shout-outs 06:45 – Technical chaos, camera setup banter, and live-stream realities 13:30 – Sponsor spots, giveaways, and community appreciation 20:05 – Cheesecake giveaways, shipping stories, and community reactions 27:10 – Arc timing clarification and “final weekend” discussion 33:00 – Starfleet Academy talk, Trek fandom reactions, and internet discourse 39:20 – Transition to STFC focus and interim schedule discussion 46:10 – January progress check: what players focused on this arc 52:40 – Prep mindset for Galactic Rush and future content pacing 01:00:30 – How January choices impact February efficiency 01:07:45 – Spending styles: whales vs grinders vs planners 01:15:20 – Community goal-setting across ops levels 01:23:10 – What “finishing a loop” really means in modern STFC 01:31:40 – Alliance tournaments, repair tokens, and resource drains 01:39:15 – Player burnout, pacing issues, and expectation management 01:47:05 – Interim events as a strategic reset window 01:55:30 – Trust, communication, and Scopely's recent improvements 02:03:50 – Community feedback, long-term planning, and realism checks 02:12:40 – Final thoughts on preparation, flexibility, and adaptation 02:21:10 – Wrap-up, reminders, shout-outs, and sign-off

Join us as Gautam breaks down the evolution of tool use in generative AI and dives deep into MCP. Gautam walks through the progression from simple prompt engineering to function calling, structured outputs, and now MCP—explaining why MCP matters and how it's changing the way AI systems interact with external tools and data. You'll learn about the differences between MCP and traditional API integrations, how to build your first MCP server, best practices for implementation, and where the ecosystem is heading. Whether you're building AI-powered applications, integrating AI into your infrastructure workflows, or just trying to keep up with the latest developments, this episode provides the practical knowledge you need. Gautam also shares real-world examples and discusses the competitive landscape between various AI workflow approaches. Subscribe to vBrownBag for weekly tech education covering AI, cloud, DevOps, and more! ⸻ Timestamps 0:00 Introduction & Welcome 7:28 Gautam's Background & Journey to AI Product Management 12:45 The Evolution of Tool Use in AI 18:32 What is Model Context Protocol (MCP)? 24:16 MCP vs Traditional API Integrations 30:41 Building Your First MCP Server 36:52 MCP Server Discovery & Architecture 42:18 Real-World Use Cases & Examples 47:35 Best Practices & Implementation Tips 51:12 The Competitive Landscape: Skills, Extensions, & More 52:14 Q&A: AI Agents & Infrastructure Predictions 55:09 Closing & Giveaway How to find Gautam: https://gautambaghel.com/ https://www.linkedin.com/in/gautambaghel/ Links from the show: https://www.hashicorp.com/en/blog/build-secure-ai-driven-workflows-with-new-terraform-and-vault-mcp-servers Presentation from HashiConf: https://youtu.be/eamE18_WrW0?si=9AJ9HUBOy7-HlQOK Kiro Powers: https://www.hashicorp.com/en/blog/hashicorp-is-a-kiro-powers-launch-partner Slides: https://docs.google.com/presentation/d/11dZZUO2w7ObjwYtf1At4WnL-ZPW1QyaWnNjzSQKQEe0/edit?usp=sharing

It's a slightly bulging at the seams episode this week, folks, with the Pick Five format yielding lots of talk, some of it slightly contentious. The concept has us choosing records we feel to be emblematic of the labels that released them, with the Senior Staff careening back and forth through history and across genres.

How can we truly trust technology in a world powered by AI and emerging tech? What exactly is medical identity theft, and why should we all be worried about it? And how is the Global Partnership on Artificial Intelligence (GPAI) helping make AI more responsible and fairer?In this episode, Punit Bhatia sits down with Pam Dixon, founder and executive director of the World Privacy Forum, to talk about how we can build trust and protect our privacy in a rapidly changing digital world. They dive into real issues like data misuse, identity theft, and the global efforts shaping stronger privacy and governance standards.

The Jan. 22 AICPA Town Hall includes a discussion around digital asset reporting, including key compliance obligations, data collection challenges and the need for accurate basis tracking. Plus, you'll hear a conversation around AI models and predictions, along with the latest DC and technical updates you need to know. Topics include: Digital asset reporting DC update Latest technical guidance AI models and predictions for 2026 Speakers:  Erik Asgeirsson, President & CEO, CPA.com Mark Peterson, EVP, Advocacy, AICPA Melanie Lauridsen, VP, Tax Policy & Advocacy, AICPA  Lisa Simpson, VP, Firm Services, AICPA April Walker, Lead Manager, Tax Practice & Ethics - Tax Section, AICPA Nik Fahrer, Blockchain & Digital Assets Practice Leader, Forvis Mazars Jeff Seibert, Founder & CEO, Digits

Jonny Goulden, Anezka Christovova and Ben Ramsey discuss the latest market developments and their impacts for the EM fixed income asset class. This podcast was recorded on 22 January 2026 © 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.

Join our current events support zoomcast show hosted by Jan Landy and his knowledgeable affable panel of friends and colleagues for an entertaining robust discussion offering opinions on anything related to a working professional life in general.Our ZoomCast isn't just a fountain of knowledge; it's also a opportunity to laugh. Think of it as therapy, but with more jokes and fewer couches. Join us and share your thoughts. Stay updated on life and world events, and enjoy multiple good chuckles along the way.

As the government prepares to introduce a strategy to boost fostering in England, Amol speaks to foster carer and author Louise Allen about the crisis in the system and what it will take to fix it. At the end of March 2024 there were 83,630 children in care in England, of whom 56,390 were being fostered, but there is a shortfall of around 6,000 foster carers nationwide. In this episode Louise explains why we need to be more honest about the realities of caring for often vulnerable kids and focus on retaining foster carers rather than recruiting new ones. She also explains why there needs to be more practical support like providing a cleaner for every fostering household so that they can focus on emotionally supporting the children in their care. (00:03:10) Why is there a fostering crisis? (00:06:20) Why do we have so many children in care? (00:08:49) Louise's story: growing up in care (00:16:13) The effect of smartphones (00:20:08) Why is there a shortage of foster carers? (00:23:37) Why do people foster? (00:27:28) The recruitment process (00:30:33) Foster care v residential care (00:33:10) What is the fostering allowance? (00:39:09) Louise's RADICAL ideas (00:45:06) The government's fostering reforms (00:47:30) The importance of giving children social capital (00:52:19) 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 Dave O'Neill. The editor is Sam Bonham. The executive producer is Owenna Griffiths.

Robert Blumofe: a CTO on Technical InfluenceCTO Robert Blumofe oversees areas like edge computing, zero trust, 5G, and IoT, while working closely with customers and internal leaders on digital transformation. In this conversation, we will explore how technical professionals can better communicate with nontechnical audiences, why technical excellence alone is not enough to influence outcomes, and what organizations can do to close that gap.To learn more about Robert, visit https://www.linkedin.com/in/robert-blumofe-258233/.__TEACH THE GEEK (http://teachthegeek.com) Prefer video? Visit http://youtube.teachthegeek.comGet Public Speaking Tips for STEM Professionals at http://teachthegeek.com/tips

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 Episode 309 of The Business Development Podcast, Kelly Kennedy sits down with fellow Rockstar Raphael Cervan, a longtime listener from France whose journey is anything but ordinary. Born in Brazil and now based in France, Raphael spent nearly two decades as an aeronautical engineer at Airbus, working on landmark programs like the A380 and A320 while leading global teams at the highest level of technical excellence. But as his career advanced and he became a father, Raphael began asking deeper questions about responsibility, values, and the kind of world he was helping to build. That reflection ultimately led him to walk away from a prestigious leadership role in aerospace to pursue something more meaningful.This conversation goes far beyond career moves. Raphael shares how discovering The Business Development Podcast helped him transition from engineer to entrepreneur, reframing business development as a human, values-driven discipline rather than a transactional one. He opens up about founding Sunbiose, a company focused on decentralized, community-owned renewable energy systems designed to strengthen local economies, democracy, and social connection. This episode is a powerful exploration of legacy, courage, and what it really means to use your skills in service of something bigger than yourself, and it's a reminder that business development done right can genuinely change lives.Key Takeaways:1. Career success means very little if it conflicts with your values, and clarity often comes when you ask what your children or future self will think of the choices you made.2. Becoming a parent has a way of sharpening perspective and forcing honest questions about responsibility, impact, and legacy.3. Technical excellence is powerful, but it becomes transformative when it's applied to solving human and societal problems, not just optimizing systems.4. Walking away from a prestigious role is not failure when it's done intentionally in pursuit of deeper purpose and alignment.5. Business development is not manipulation or pressure, it is a human process of understanding problems and offering real solutions.6. Engineers and technical leaders can succeed in business when they reframe selling as service rather than persuasion.7. Entrepreneurship is less about the destination and more about the growth, self-knowledge, and responsibility developed along the way.8. Systems matter, whether in aviation, energy, or business, and poorly designed systems create risks that values-based leadership must address.9. Decentralization and community ownership can create not only economic value but stronger social bonds and shared accountability.10. Legacy is built through action, not intention, and doing nothing is often the most dangerous decision of all.Get in touch with RaphaelIf this episode resonated and you're exploring opportunities in decentralized energy, sustainability, or impact-driven entrepreneurship, Raphael is actively open to conversations. He is currently seeking strategic partners and aligned investors who share a long-term vision for community-owned, decentralized energy systems.If you're interested in collaborating, partnering, or learning more about the Sunbiose model, Raphael welcomes thoughtful outreach.Email: raphael@sunbiose.fr LinkedIn: https://www.linkedin.com/in/raphaelcervan/2026 Title Sponsor

Technical difficulties, strange and miserable surgeries, documentaries no one asked for, stinky butts, not so sexual horror and REC! 

In this conversation, the hosts discuss the innovative game Ascent Rivals, a fusion of racing, combat, and strategy, developed with a focus on traditional gaming experiences. The developers share their backgrounds in game development and esports, emphasising community engagement and organic growth during the alpha phase. They explore funding strategies, integrating Web3 elements, and the technical aspects of building on the Cardano blockchain, aiming to create a game that appeals to both traditional and Web3 gamers.TakeawaysAscent Rivals is a fusion game combining racing, combat, and strategy.The development team has a strong background in traditional gaming and esports.Community engagement is crucial for game development in the Web3 space.The game aims to attract traditional gamers rather than just Web3 enthusiasts.Funding comes from grants, consulting work, and self-funding.The team is focused on organic growth and community feedback during alpha testing.Web3 elements will be integrated seamlessly to enhance the player experience.The game is designed to be fun and engaging without relying on crypto incentives.Technical advancements are leveraged to achieve ambitious goals with a small team.The vision includes making Ascent Rivals a recognised esports title.Learn more about the game and join the community:https://www.ascentrivals.com/Chapters00:00Introduction to Ascent Rivals02:47Game Development Background and Vision05:58Community Engagement and Feedback08:49Funding and Development Strategy12:05Web3 Integration and Onboarding14:56Technical Aspects and Future PlansDISCLAIMER: This content is for informational and educational purposes only and is not financial, investment, or legal advice. I am not affiliated with, nor compensated by, the project discussed—no tokens, payments, or incentives received. I do not hold a stake in the project, including private or future allocations. All views are my own, based on public information. Always do your own research and consult a licensed advisor before investing. Crypto investments carry high risk, and past performance is no guarantee of future results. I am not responsible for any decisions you make based on this content.

2025 was, undoubtedly, the year of AI. In the first episode of 2026 Beezer Clarkson, Partner at Sapphire Partners, and Nick Chirls, Partner at Asylum Ventures revisit some of their favorite moments from the year before to see what the top voices in VC saw as emerging AI trendlines and how the venture ecosystem and global markets might respond next. In this episode we'll hear from – among others – Sarah Tavel of Benchmark about what it means to be truly AI native, Sunil Dhaliwal & Mike Dauber of Amplify about finding technical VCs in the age of AI, and Micah Rosenbloom of Founder Collective on how early stage venture often misses major trends like AI until it's too late.Learn more about Sapphire Partners: sapphireventures.com/sapphire-partnersLearn more about OpenLP: openlp.vcLearn more about Asylum Ventures: asylum.vcLearn more about Benchmark: benchmark.comLearn more about Amplify: amplifypartners.comLearn more about Founder Collective: foundercollective.comLearn more about Curie.Bio: curie.bioRead Sarah's Substack Posts: sarahtavel.comCHAPTERS:0:00 Welcome to Origins3:36 Being AI Native with Sarah Tavel10:36 Finding Technical Founders with Mike Dauber & Sunil Dhaliwal14:31 Early Stage Founders Are 7 Years Too Late with Micah Rosenbloom23:04 What AI CAN'T Do with Zach Weinberg28:37-Technical vs. Product Genius with Sarah Tavel38:49 Nick & Beezer's AI Trends to Watch In 2026For a monthly roundup of the latest venture insights, including the newest Origins episodes, subscribe to the OpenLP newsletter – delivered straight to your inbox: subscribe.openlp.vcOrigins is produced by Sapphire Ventures in partnership with⁠ Pod People.Nothing presented herein is intended to constitute investment advice, and under no circumstances should any information provided herein be used or considered as an offer to sell or a solicitation of an offer to buy an interest in any investment fund managed by Sapphire Ventures, LLC (“Sapphire”). Any offer or solicitation of securities by Sapphire may only be made in accordance with the current offering documents for a managed Fund in which Sapphire is an advisor. Additionally, Sapphire does not solicit or make its services available to the public; such offerings may only be provided to accredited investors and qualified purchasers defined within the Securities Act of 1933 and the Investment Company Act of 1940. Information provided reflects Sapphire Ventures' views as of a particular time. Such views are subject to change at any point and Sapphire Ventures shall not be obligated to provide notice of any change. Due to various risks and uncertainties, actual events, results or the actual experience may differ materially from those reflected or contemplated in these statements. While Sapphire Ventures has used reasonable efforts to obtain information from reliable sources, Sapphire makes no representations or warranties as to the accuracy, reliability, or completeness of third party information presented herein. Nothing presented herein may be relied upon as a guarantee or assurance as to the future success of any particular investment opportunity or strategy. Past performance is not indicative of future results.

The SPX is trading just below its 50-day SMA, a level Kevin Green says is one which historically catches a bid. If it doesn't, he tells investors to brace for sharp downside action. Tech isn't helping as the sectors trades in bear market territory. However, KG notes a technical breakout happening in gold as investors big and small seek alternatives to stocks and treasuries. He also talks about the sell-off in Netflix (NFLX) after earnings. ======== Schwab Network ========Empowering every investor and trader, every market day.Subscribe 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 – / schwabnetwork Follow us on Facebook – / schwabnetwork Follow us on LinkedIn - / schwab-network About Schwab Network - https://schwabnetwork.com/about

In this episode of The Free Lunch Podcast, Greg and Jacob reflect on how the reality of wealth advising differs from what's taught early on.Technical knowledge matters, but it isn't what ultimately sets wealth advisors apart. Listening, understanding, and guiding people through uncertainty are what define the work.Throughout the episode, they explore the lessons that only experience teaches, and what it really takes to build a career that lasts.

Quantification is crucial to successful farming. With The Fertilizer Institute (TFI) granting certification to Mainstay® Si, Redox Bio-Nutrients is the only company with two certified biostimulants. Last fall, TFI certification was given to Mainstay® Calcium 2.0.Redox Lead Agronomist John Kelly comments on the importance of the independent and rigorous certification, and the beneficial role Mainstay® Si plays for crops. 

Rachel Dashiell discusses the technical trends of Hecla Mining (HL) and Accenture (ACN). HL reached an all-time high, surpassing its 1987 peak, showcasing over 530% gains this year due to strong momentum in precious metals. ACN shows technical improvement with a significant six-month cup and handle pattern breakout.======== 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

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.

Trump's tariff threats on eight European nations over Greenland sparked $875 million in crypto liquidations and a 3% Bitcoin drop to $92,000 as markets reeled.~This episode is sponsored by Tangem~Tangem ➜ https://bit.ly/TangemPBNUse Code: "PBN" for Additional Discounts!00:00 Intro00:10 Sponsor: Tangem00:50 Trump's new threat02:00 Market impact03:30 Trump playbook04:20 TACO incoming?06:30 Tariffs good for Bitcoin?08:30 New Bitcoin ATH in 2026?09:10 Surprise rate cut in January?10:30 Ethereum analysis12:20 Is QE happening?15:00 Metals rally = Bad for crypto?16:00 Silver analysis16:30 Gold analysis18:00 Is copper a buy?19:45 Did Trump sell out crypto?21:40 NYSE launches 24/7 trading23:00 Solana analysis24:15 Outro#crypto #bitcoin #ethereum~Chaos Crash?

Professor Helen Thompson, an expert on oil and global politics, answers your questions about Europe's energy security, whether America would intercept Russian-flagged tankers carrying oil to Cuba and what uncomfortable truth she would inject into political debate. She also explains how the shift away from burning gas and oil and towards electricity and renewable energies will affect geopolitics? GET 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.

Allen covers court victories allowing Empire Wind and Revolution Wind construction to resume, while Vineyard Wind joins the legal fight. In the UK, EnBW walks away from Mona and Morgan with a $1.4B write-off, even as KKR and RWE announce a $15B partnership for Norfolk Vanguard. Plus Ørsted’s leaked “Project Dragon” reveals the offshore giant is considering Chinese turbines, and Fortescue breaks ground on Australia’s Nullagine Wind Project using Nabrawind’s self-erecting tower technology. Sign up now for Uptime Tech News, our weekly newsletter on all things wind technology. This episode is sponsored by Weather Guard Lightning Tech. Learn more about Weather Guard’s StrikeTape Wind Turbine LPS retrofit. Follow the show on YouTube, Linkedin and visit Weather Guard on the web. And subscribe to Rosemary’s “Engineering with Rosie” YouTube channel here. Have a question we can answer on the show? Email us! Last week I told you about Equinor’s ultimatum. Resume construction by January sixteenth… or cancel Empire Wind forever. Well… the courts have spoken. Last Thursday, Judge Carl Nichols issued his ruling. Empire Wind can resume construction. The harm from stopping, he said, outweighs the government’s concerns. One day earlier, Ørsted won the same relief for Revolution Wind. And now Vineyard Wind has joined the fight in Massachusetts. Three projects. Three courtrooms. Two victories and one victory yet to come. Meanwhile in Britain… a different kind of drama. German utility EnBW announced Thursday it is walking away from two major UK projects. Mona and Morgan. Three gigawatts of potential capacity. The cost of leaving? One point four billion dollars in write-offs. Eight hundred forty million pounds already paid… gone. Rising costs. Lower electricity prices. Higher interest rates. Their partner, Jera Nex BP, says they still see good pathways forward. But EnBW has had enough. Yet in the very same week… Investment giant KKR and German utility RWE announced a fifteen billion dollar partnership. Norfolk Vanguard East and West. Three gigawatts. One hundred eighty-four turbines. Power for three million British homes. Big winners and losers. In the same market. In the same week. Danish media outlet Berlingske obtained a confidential report from Ørsted’s procurement department. The world’s largest offshore wind developer… is exploring whether to buy turbines from China. They call it Project Dragon. The plan covers twenty-twenty-six through twenty-twenty-eight. CEO Rasmus Errboe told reporters they continuously evaluate all technologies and suppliers. Quality. Technical capabilities. Commercial conditions. He did not deny the report. For years, European developers have resisted Chinese turbines. Fear of losing their industry to China… just like they lost solar manufacturing a decade ago. But Ørsted is under pressure. In Australia, Fortescue has broken ground on its first wind project in the Pilbara. The Nullagine Wind Project. One hundred thirty-three megawatts. Seventeen turbines. But here is what makes it special. Nabrawind’s self-erecting tower technology. Hub height of one hundred eighty-eight meters. A new global benchmark for onshore wind. No giant cranes required. Fortescue plans two to three gigawatts of renewable energy across the Pilbara by twenty-thirty. Wind. Solar. Batteries. To power their mining trucks. Their drills. Their processing plants. Last week we talked about Equinor’s deadline. About Ørsted losing one and a half million euros every single day. About billions in limbo. This week… the courts stepped in. Empire Wind resumes. Revolution Wind continues. Vineyard Wind fights on. All while the North Sea quietly crossed a milestone. One hundred one operational wind farms. Thirty gigawatts of clean power. More than any body of water on Earth. Some companies are walking away. Others are doubling down with fifteen billion dollar bets. The wind industry is evolving very quickly. And that’s the state of the wind industry for the 19th of January 2026. Join us tomorrow for the Uptime Wind Energy Podcast.

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?

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.

Note: We experienced technical difficulties during the live stream, but Steve Symington's insights were so good we wanted to keep this. An edited version will be available soon. AI has taken the investing world by storm in recent years, and NVIDIA's high-performance computing chips have made it the market darling of this space.Yet we're still in only “the third inning” when it comes to investing in AI. Forward-thinking companies are harnessing the power of large language models and machine learning inference to improve their own operations. Those doing it well are gaining significant market share on their slower-moving competitors.Lemonade is a perfect example, who is using AI to improve the insurance industry.In today's episode, former 7investing advisor Steve Symington joins the show to describe how investors should size up the companies who are embracing AI. He also takes a detailed look at Lemonade, suggesting the juice is worth the squeeze for this refreshing innovator.Key Insight: The best AI investments aren't always the chip makers—they're the companies built from the ground up with AI as their foundation, disrupting industries where incumbents are too slow to adapt.⚠️ Technical difficulties during the live stream, but the insights are worth the watch.

Join the vBrownBag crew and AWS Hero Peter Sankauskas for the 2026 AWS Community Survey

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."