mAIndset

Filip Vitek and David Tvrdon

Shaping what you know and think about AI. Hosted by David Tvrdon, a technology journalist, entrepreneur, and media strategist, and Filip Vitek, an AI executive. We were looking for a practical podcast on AI and ended up creating it.

  1. 2 GÜN ÖNCE

    SaaS-pocalypse: Who Will Survive & How To Increase Your Chances

    This is insights-jammed episode where Filip & David unpack the whole context of AI-triggered Deep Software Companies Crises labelled SAAS-APOCALYPSE, namely: Why This is Just Wave 1 Of Apocalypse What Factors Accelerate/Prevent The ImpactWho Will Die And Whom It'll SpareTips that SW Companies Can Plug In to Las Longerand many more interesting angles to this topic.

    50 dk.

  2. 18 ŞUB

    From Tool to Employer: Back Stage Of ClawBot Story (And How It Shapes Social Dynamics)

    February landed us fascinating story of the Ai Agent ClawBot (itself renaming twice, survived attach of Crypto community and learning to send audio messages without consent of its "master"). But that was only beginning and thus David and Filip in recent mAIndset episode not only narrate the spicy story of making of Clawbot, but also what are the social implications of this fascinating story:00:50 Are We Finally Giving Steering Wheel To AI Agents02:20 How Did OpenClaw Come To Be07:25 WhatsApp Assistant, The Original Purpose of ClawBot09:45 MacMini's Spike Drama14:15 Naming Drama15:45 Crypto Community Strikes17:43 Messaging With Sam Altman18:40 Emergence of MoltBook, Agent-Only Social Net20:30 Master-Slave Or Having Soul?23:03 Aha Moment: Bots Finally Becoming Entities24:20 Media Wrongly Interpreting The Real Impact Of MoltBook25:50 MoltBook Was Just A Start: Next Social Interactions Of AI Bots32:00 RentAHuman Culmiation - Step Up From Tool To Contractor33:50 Where Do We Go From Here (Now Genie Is Out Of Bottle Already)36:02 AI Employees37:00 OpenAI or Meta Taking It Over + MCP Downplayed39:20 Bots Self-Learned Voice

    42 dk.

  3. 16 OCA

    2026 AI Surprises We Still Think Gonna Happen

    David and Filip were neither sleepy nor shy to jump into new year with bold 2026 AI Predictions that might surprise you. But if you take few steps back, they are still quite likely to happen. So don't miss the chance to adjust your 2026 AI Expectations in following areas: 00:21 Who Is Having Birthday? 01:23 OpenAI Will be Dethroned in 2016 06:04 Retail Investors Can Finally Invest Into AI, At Least 3 IPO's Will Come 11:38 Autonomous Taxis Will Arrive Into 5+ European Cities 19:40 Unemployment Spike In Major Economies, AI Partially To Be Blamed 25:20 Full Cinema-Long Movie Built Mostly Via AI 29:55 Meta Scales Down The Open-Source Line Of Models 32:00 Bonus Prediction: CN Model Will Take Top AI Spot For Some Time 36:50 SW development Turns Into Testing-focus 43:30 At Least 2 New Ai Form Factors (Devices) Introduced in 2026 46:29 2026 as Year Of Token Efficiency 50:10 AI Agents Turning Into Bookable Services (or Even Robo-employees) 55:02 Mondays vs. Tuesdays Of AI Engineers 56:42 New Sound of mAIndset

    58 dk.

  4. 05.12.2025

    Where does MICROSOFT stand on AI ?!

    In the #17th episode of our mAIndset podcast we took again one of the leading AI competing companies and grilled in detail where they stand on AI past, present and looking forward. This time we detailed on MICROSOFT and uncovered all following aspects: 00:34 From 30000 Feet: Microsoft Should Have Been AI-successful 04:15 Beaten By Others Already Before ChatGPT 06:35 How Can You Miss This Badly ?! 08:40 Crucial Moment That Saves Some Dignity For Them 09:10 Do You Recall A Recall Function? 10:25 AI PC Move 11:30 Copilot - Biggest Branding Mistake Of Microsoft 16:50 AquaHire AI Team 19:20 OpenAI's Marriage (Or Friends With Benefits ?) 24:35 28% Stake In Biggest Frontier Lab 26:15 Where Does It Take Them Now? 29:20 GitHub Ever/Finally Utilized 31:35 Stock Market Hints 32:50 Small Hidden Booster Rocket 35:05 Summary Of Microsoft Chances

    36 dk.

  5. 13.11.2025

    What AI PRACTITIONERS Comment Lately ON 2025 TRENDS

    Over the last 6 weeks, Filip has travelled the Globe to visit 5 major AI conferences. He also collected key points that have been discussed. And thus we told ourselves, it would be a great opportunity to maybe summarize also for you, our audience, what the AI Practitioners are saying regarding the 2025 development in the AI domain. Therefore, in this 15th episode of the mAIndset podcast, we gradually cover:01:40 Ai Experts: We Don't Need Bigger And Bigger AI Models03:29 Shall We Rather Lean On SLM's ?!06:40 Taking 8-Wheel Truck For Grocery Shopping07:50 OpenAI Still Plans Overkill Of New Model Releases11:03 Stop Thinking About AI Capabilities !13:20 2025 Dictionary Word of Year: "(AI) Agents"15:17 Some Still On Wrong Track: Metering AI Agents By Numbers16:40 CONFIRMED: Agents Take Mainly Junior Jobs18:25 Efficiency Lever At Whooping 1:67 Rate20.36 Expect Top Managers To Have AI Agents Goals for 202623:04 Soon There Will Be Explosion In Token Consumption We Aren't Ready For25:02 Additional Nuclear Powerplant for Slovak AI27:24 New Local-PC-running-LLM Chips (from NVIDIA)31:56 Green Considerations In AI: 2 PDFs in GPT Equals ...35:42 So What Shall We Do Differently With AI ?!36:47 Do We Step Back From AI Search To Google Search ?38:03 Caching LLM Can Save 40% Of Your Costs39:16 Uff, Now We Will Store Tokens Into Traditional Databases?41:02 ALREADY MOST USED AI Use Cases Are ...44:17 SW Developer Roles Now Redefines To Test-Shaping46:26 OpenAI Push-back "Resistance" Is GatheringIf you want to suggest (or vote up) topics for next episodes of the mAIndset podcast, go and vote here:https://maindsetpodcast.com/If you have a question or comment, don't hesitate to reach out on:ideas@maindsetpodcast.com

    51 dk.

  6. 23.10.2025

    AI BUBBLE - Hints How To Track If It's Coming

    Topic of AI Bubble started to surface already last year and comes back in (ever increasing) frequent hops. Studies like infamous MIT study of 95% AI Failing are loading the discussion even further. So we settled down with David for discussion on where the truth might be on this Bubble issue. To avoid being just shallow, we decomposed the total Revenue (and Profit) profiles of companies and discussed in deep detail the development around AI companies' User Bases, Intensity of Use and Frontier Labs' Pricing power. The development in the very topic is so dynamic that next events my render these kind of talks soon irrelevant. Therefore, we invite you watch through quickly :) and to extract the measuring logic rather than just one snapshot conclusion. Enjoy! Chapters: 01:40 Do We Have, AI Bubble Or Just Mind Games ? 04:10 M7 Taking Lion Share of Stock Market 06:25 It's Complicated, Because 08:40 AI Is Surely Getting To Big For Traditional Investors 10:10 Most Investors Are Locked Out Of Investment In AI 12:34 Reading The Recent Quarterly Results, We See ... 15:40 Profits, Not Reported, But Once Can Assume 19:54 When The Tide Goes Down, It Is Clear Whole Had Swimsuit And Who Didn't 21:02 Introducing 3 Factors: User Base + Intensity + Pricing 25:22 Positive And Negative Factors Of User Base Dynamics 28:07 Intensity of Use Is Tricky to Estimate 31:40 Wow Effects Try To Push Usage, But Stumbling On This 35:03 Free Tier Is Still Bloating Impression Of Demand 38:04 Quite Bluntly : AI Is Still Too Cheap 41:00 30USD+ Would Be Psychological Limit For Me 44:04 Bring Your Own AI To Work Might Play A Role Here 47:51 After Here All The Facts David Changes His Opinion

    51 dk.

  7. 22.09.2025

    Where AI Meets Medicine On Crossroads [with Prof. Amina Qutub]

    Having distinguished Prof. Amina A. QUTUB for interview is a dream of many Tech podcasters (or it certainly should be). As only few people have both the vision to see where AI is heading and the hands-on expertise to push those breakthroughs into the real life of clinics and hospitals. Her work is on intersection of high-end, expert Biology and Computational Systems and even both ways: With her team she not only builds models that replicate human brain BUT ALSO uses these insights to gear "regular" AI (as we all know it from LLMs) to save lives in Emergency Rooms and help Clinicians to stay On-Top-Of-The-Game even in long shifts. Thus, talking to someone, who's inventions can literally save your own life in future made this discussion so eye-opening and awesome at the same time. With David, we definitely took a chance to address the AI + Medicine combo from several angles and got from Dr. Qutub handful of insights nuggets. So, go ahead & explore all chapters of this great interview: 01:50 Patterns of Communication, From Molecules to Humans 02:40 Where To Look For AI Start-Up Inspiration In Medicine 04:55 Turing Test in Medical AI Would Need to Include Smell and Taste 06:56 Combining Many Clinicians On Top Of Their Game 09:15 Accessibility Paves The AI Adoption (and hence hinders Medical AI) 11:24 In Full Emergency Room AI Split-second Decision Really Helps 16:35 Originally Deep Learning Inspired By Brain, But Where Do We Go Now 20:35 Is There Hope For Humanity To Merge Bio Brain Efficiency With AI 26:08 Building AI That Does Not Hurt Or Kill 29:34 How Do AI Scientists Choose (from ever changing) Top AI Models 32:05 Where Can/Should We Augment Humans With AI (and where to stop in it) 35:50 Launching AI Is Not Like Introducing Penicillin 38:19 Humble Self-Regulation (In Times Where Regulators Not Fully Grasp AI Principles) 41:30 AI Is Useful Even In My Private Life, But I Miss ... 44:16 What If We Invest Into Creating Super-Humans ? Amina Ann Qutub, PhD is the Burzik Professor of Engineering Design and Associate Professor of Biomedical Engineering at the University of Texas, San Antonio. She serves as the Assistant Director of Strategic Alliances for the MATRIX AI Consortium and a research thrust lead for the Augmenting Human Performance thrust. Dr. Qutub is also the Director of the UTSA – UT Health San Antonio Graduate Group in Biomedical Engineering and co-lead of the Center for Precision Medicine. Dr. Qutub is pioneering methods at the interface of computer science, biology and engineering to study the design of human cells, and help eradicate diseases affecting cells of the brain and vasculature. In new translational work, Dr. Qutub is co-lead (with Drs. Brian Eastridge, MD, UTHSCSA and Alan Cook, MD, UTTyler) of the iRemedyACT project to develop AI tools that can minimize time to treatment and optimize care for trauma patients.

    47 dk.

  8. 05.09.2025

    AI Browsers | Where Do Work Well And What Can't They Do Yet

    After years of consuming the AI mainly through chatbots and custom applications, finally we AI makes itself available also in form of the Web/AI Browsers. But that is where the story only starts, as it opens plethora of new questions: Is AI browser a completely new way to consume public content or are we longing just for the AI plug-ins into regular browsers. How will AI environment deal with things like Ad-blockers and privacy controlShall we crave for Ai browsers to be all-mighty agents doing thins for us or just from side watching advisor without any agencySpeaking of AI agents, will they swallow this early Ai browser attemptsShall one count the AI Browsers to become separate industry and which players are trying to dominate this space. All those topics and more you can hear from the recent episode of the www.maindsetpodcast.com

    36 dk.
Tümünü Görün (19)

Hakkında

Shaping what you know and think about AI. Hosted by David Tvrdon, a technology journalist, entrepreneur, and media strategist, and Filip Vitek, an AI executive. We were looking for a practical podcast on AI and ended up creating it.

Bilgi

  • Yaratıcı
    Filip Vitek and David Tvrdon
  • Aktif Yıllar
    2025 - 2026
  • Bölümler
    19
  • Sınıflandırma
    Uygun
  • Telif Hakkı
    © Filip Vitek and David Tvrdon
  • Şovun Web Sitesi
    mAIndset

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