mAIndset

The most recent episode of podcast scrutinizes the hottest AI topic of first months of 2026: The OpenClaw. But rather than boring you with technicalities it gives clear reasons FOR WHOM this is a necessity and who might rather avoid using it. In last third David and Filip outline also WHAT COMES NEXT in the OpenClaw space. If you seek specific angle to the topic choose directly chapter:01:20 What Is OpenClaw And Why Is It Trending02:50 3rd Defining Moment of AI (after GPT and R1)05:15 Who Is OpenClaw For ? 06:20 Three Steps Of Democratization Of AI Labor 07:42 So What OpenClaw Brings ?!12:31 OpenClaw + MacMini | Many Get The HW Part Wrong17:20 How About Running Local LLM (For Free) In OpenClaw?19:30 50 MacMini's In Company? Negatives Outweight Pluses22:50 Clear Target group FOR WHOM OpenClaw YES28:33 FOR WHOM NOT : Stay Away If This Is Your Situation34:22 !!! WARNING !!! OpenClaw Makes You GDPR Non-Compliant35:10 Do You Need To Steer It From Remote36:40 OpenClaw Not Suitable To Automate Customer Support37:56 NanoClaw, ZeroClaw, ... Why We Have 3 Branches Of OpenClaw Clones42:48 OpenAI Blunder (So Far)45:48 "Computer" As New Version(s) Of OpenClaw48:00 China's Move On OpenClaw (so different to Western approach)51:15 Is OpenClaw Just FOMO ?53:35 Future? Where Is OpenClaw Going Next?53:35 OpenClaw Shuffling Cards For Cursor, Google and For SpaceX

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.

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

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 Come11:38 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 Time36:50 SW development Turns Into Testing-focus 43:30 At Least 2 New Ai Form Factors (Devices) Introduced in 202646:29 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 Engineers56:42 New Sound of mAIndset

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-successful04:15 Beaten By Others Already Before ChatGPT06:35 How Can You Miss This Badly ?!08:40 Crucial Moment That Saves Some Dignity For Them09:10 Do You Recall A Recall Function?10:25 AI PC Move11:30 Copilot - Biggest Branding Mistake Of Microsoft16:50 AquaHire AI Team19:20 OpenAI's Marriage (Or Friends With Benefits ?)24:35 28% Stake In Biggest Frontier Lab26:15 Where Does It Take Them Now?29:20 GitHub Ever/Finally Utilized31:35 Stock Market Hints32:50 Small Hidden Booster Rocket35:05 Summary Of Microsoft Chances

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:[email protected]

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 Market06:25 It's Complicated, Because08:40 AI Is Surely Getting To Big For Traditional Investors10:10 Most Investors Are Locked Out Of Investment In AI12:34 Reading The Recent Quarterly Results, We See ...15:40 Profits, Not Reported, But Once Can Assume19:54 When The Tide Goes Down, It Is Clear Whole Had Swimsuit And Who Didn't21:02 Introducing 3 Factors: User Base + Intensity + Pricing25:22 Positive And Negative Factors Of User Base Dynamics28:07 Intensity of Use Is Tricky to Estimate31:40 Wow Effects Try To Push Usage, But Stumbling On This35:03 Free Tier Is Still Bloating Impression Of Demand38:04 Quite Bluntly : AI Is Still Too Cheap41:00 30USD+ Would Be Psychological Limit For Me44:04 Bring Your Own AI To Work Might Play A Role Here47:51 After Here All The Facts David Changes His Opinion

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 Humans02:40 Where To Look For AI Start-Up Inspiration In Medicine04:55 Turing Test in Medical AI Would Need to Include Smell and Taste06:56 Combining Many Clinicians On Top Of Their Game09:15 Accessibility Paves The AI Adoption (and hence hinders Medical AI)11:24 In Full Emergency Room AI Split-second Decision Really Helps16:35 Originally Deep Learning Inspired By Brain, But Where Do We Go Now20:35 Is There Hope For Humanity To Merge Bio Brain Efficiency With AI26:08 Building AI That Does Not Hurt Or Kill29:34 How Do AI Scientists Choose (from ever changing) Top AI Models32:05 Where Can/Should We Augment Humans With AI (and where to stop in it)35:50 Launching AI Is Not Like Introducing Penicillin38:19 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.

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

We started 2025 year with mAIndset podcast episode "2025 AI Surprises You Are Not Ready For" outlining prediction about where AI will move in next 12 months. As we are after H1 results of all key players, let's look back on what predictions are turning true and where trends go differently as originally anticipated.

This time a special treat for our #mAIndset podcast where David and Filip debate together the ideas from thought-provoking article "AI Will Hit Me Before I Turn 50". And, boy, exchanged the ideas are.From Future of Universities to Why buy your own GPU all the way to How to Improve your work chances in post-AI era. Highly recommend to all those wanting to have nuanced understanding what to expect. If you are 40 year (or younger) don\t miss this out. Original article "AI Will Hit Me Before I Turn 50" can be read in full here:https://mocnedata.sk/en/artificial-intelligence-will-hit-me-before-i-turn-50/Chapters of Video:01:47 Form The 43rd to 50th Birthday03:25 Will David Amass Enough Funds For Early Retirement?05:35 Airplane analogy08:37 How People React on "AI will hit me ... " Text?12:16 Want To Make It Personal, It's Going To Hit Me15:25 Sam Altman's Children Not The Smartest Anymore17:45 Human 1st Task: Swallow AI Dominance20:45 Getting Yourself Ready for AI JOB Replacement24:35 Craftsmen Jobs - Not Secure Plan B, Really27:05 Future of Universities and Education32:10 So Are We In Flood Prevention Scenario?37:44 The only Remaining Barrier to AI Is ....38:50 I Was Also Guilty Of The This Issue40:20 Skills To Learn To Improve Your Post-AI Chances42:41 GPU What is Real Estate Of AI Aera ?!

We have seen Mark Zuckerberg open his AI wallet wide. Scale AI acquisition, hiring through sign-up bonuses surpassing Tim Cook's annual salary, struggle to get the Llama 4.0 out and reclaim the Open Source trajectory. What are the real motives behind Zuck's rush to throw billions on Meta's AI progress?Chapters00:00 Introduction to AI Trends01:23 Meta's AI Ambitions and Challenges10:30 Zuckerberg's Strategic Moves in AI18:13 Acquisition of Scale AI: Implications27:10 The $100 Million Sign-Up Bonuses38:35 Legacy and Future of Meta's AI Strategy

In this episode of the mAIndset podcast, David and Filip delve into the Model Communication Protocol (MCP), exploring its significance in the AI landscape, its comparison to APIs, and the future implications for AI agents. They discuss the need for MCP, its role in facilitating communication between different AI models, and the potential alternatives that may emerge. The conversation also touches on the challenges of value exchange within the MCP framework and the broader implications for the development of agent AI.TakeawaysMCP stands for Model Communication Protocol, facilitating AI agent orchestration.MCP is seen as a universal connector for different AI models.The need for MCP arose from the inability of AI agents to communicate effectively.MCP is likened to USB-C for its universal application in AI.MCP allows for dynamic interactions between AI models, unlike traditional APIs.The future of AI may involve multiple models working together rather than a single AGI.Value exchange mechanisms in MCP are still under discussion.Alternatives to MCP are being developed by companies like Google and Meta.MCP's open-source nature encourages widespread adoption and innovation.The development of agent AI is expected to accelerate with the implementation of MCP.Chapters:00:00 Why MCP is The Thing02:51 Understanding the Use-cases for MCP05:57 MCP vs. API: A Deeper Look09:07 Likely Future of MCP and Value Exchange12:09 What If You Don't Want MCP: Landscape of MCP's Alternatives15:00 How MCP Is Forming The Agentic AI Progress17:54 Conclusion and Two Important Signals This MCP Craze Yields

In recent episode, David and Filip discuss the implications of using AI in the workplace without informing superiors. They explore reasons employees choose to use AI secretly first place, the ethical considerations and the impact of company policies on AI usage.The conversation also delves into the aftermath of employees' decisions to use AI, the potential risks involved and provide guide on if you choose to use secretly Ai in your work, which use-cases are Ok and which to avoid.Properly understanding the risks associated with individual AI use-cases (across summarizing documents, drafting emails, coding and handling sensitive data) arms you better to avoid the biggest back-clash or even retaliation of your company. Key Takeaways:Using AI without consent raises ethical concerns.Many companies lack clear policies on AI usage.Employees often use AI to enhance productivity.Cost is a significant factor in AI adoption.Legal and security issues are prevalent in AI use.Employees may use AI to manage multiple jobs.AI can help bridge knowledge gaps for employees.Transparency about AI use can build trust.The trend of 'bring your own AI' is growing.AI tools can significantly improve work efficiency. Summarizing internal documents can be risky due to sensitive data.Using AI for drafting emails is generally safe but requires careful review.Medium risk use cases include creating spreadsheets and translations.High risk scenarios involve summarizing sensitive data and coding.AI-generated content can misrepresent the user's capabilities.Employee evaluations may become unfair if AI usage is not disclosed.Companies may face liability for AI-generated errors.Sensitive information should not be processed by external AI tools.AI can streamline tasks but requires human oversight.Communication about AI usage is crucial for transparency.Notable Sound Bites:"I'm telling ChatGPT, but I'm not telling my boss""Using AI without the consent is a shady area""78% of users bring their own AI tools to work""More than half of companies do not ha AI policy""Two thirds of candidates use AI already during interviews""Most of the Workplace AI use-cases are kind of okayish.""The risks of using AI (even secretly) are manageable""Best Advice : Consult before using AI at work"Chapters00:00 Introduction to AI in the Workplace03:05 The Ethics of Using AI Secretly05:56 Reasons Employees Use AI Without Consent09:07 The Impact of Company Policies on AI Usage12:10 The Cost of AI and Employee Choices15:00 Legal and Security Concerns in AI Usage17:56 Employee Motivations for Using AI21:04 The Dangers of Misusing AI23:54 Evaluating AI Use Cases in the Workplace28:28 Summarizing Internal Documents and Meeting Notes34:31 Medium Risk AI Use Cases44:10 High Risk AI Use Cases51:13 Understanding the Risks of AI Usage

In this episode of mAIndset podcast, we dive into Apple’s recent stumble in the AI race — a company known for polished products now facing stark criticism for what some call a glaring intelligence gap. Is this just a minor, though awkward, misstep on their path to AI relevance? Or has Apple committed a deadly sin that could cost them their innovation halo? Shall the Siri Brand survive and what would be alternative approaches? What is the underlying reason for where apple is now with its AI ?David and Filip unpack it all in debate of blunder, the backlash, and what it signals for Apple’s future in the intelligence era.00:45 What Went Wrong 02:00 WWDS - False Hope Only ?!04:10 Is Umbrella The Problem Here06:12 Language Limitations On Top09:05 Hard Dilemma: Shall Apple Build or License11:50 May The Fish-head Stink As Well? (Tim Cook's part of blame)13:05 Apple Car First Warning19:12 Sorry, This Is Going To Get Even Worse (before it get's better)23:05 What Use-cases Will Really Happen In Apple AI26:10 Is The Company In Big trouble ?!28:02 Too Much Apple, Too Little Intelligence29:28 Siri Is Dead Brand To Be Kept Alive32:30 What Would You Do, Filip, To Solve Apple Intelligence ?34:15 Too Late For A1 Model36:10 What To Expect In 2025 and 2026 from Apple AI37:25 Surviving As Black Passenger Is The Next Apple's Move40:31 What Next mAindset Will Be About

The 6th EPISODE of #maindsetpodcast podcast is dedicated to role of AI In Hiring Process. Davis was lately in between jobs, I am hiring continously new colleagues, so this discussion on where AI can, should and should not be used by either side of the hiring table, comes really handy not just to two of us, but to anybody on job market. In the episode you will hear on which tools are most useful for candidates, where you as candidate should still hold your horses to engage AI in your job seeking. We feature also which tools are popping on the Employer side and (for some) surprising result of who is winning the "AI Battle in hiring process". Enjoy the full episode for free and leave us a comment if you had similar (or vastly different) experience with Ai in the job seeking.Topic was picked for recording as upvoted theme from our suggestion list. Go and suggest your own topic here as well:https://poll.ly/lifUgkaHpwrX9128yJlW-Send us your questions, feedback and topic suggestions at ⁠⁠⁠⁠[email protected]⁠⁠⁠⁠Find more info at ⁠⁠⁠⁠https://maindsetpodcast.com⁠⁠⁠⁠-Detail content of today's episode; 00:01:30 How Would David Use AI in his Job Hunt [before getting clever today]00:03:45 The 2 Biggest Myths of AI in Hiring00:07:15 How Do You Validate Potential Employee in 21st century00:08:50 AI In Early Steps of Job Seeking00:13:15 Underutilized AI In Profiling Yourself As Candidate00:16:20 LLMs Helping to Be Relevant00:20:10 Surprising, New Role Of Cover Letter00:22:50 Polishing the CV to Stand Out00:26:45 Using Voice Assistant To Cheat On Interview00:30:08 Don't Use AI For The Number Game for CVs00:33:55 Getting Self Ready For Interview With AI Help00:36:05 Turning To Employer Side, How AI Helps Here00:41:00 Can AI Lead Interview00:42:07 Filip's Own Experience With AI leading His Job Interview

You are watching (or listening to) the next episode of the ⁠⁠#mAIndsetpodcast⁠⁠: Shaping What You Know And Think About AI.In this episode of the Mindset AI podcast, we discuss the hype and reality of AI agents. Are they truly the next big thing in AI, or are they simply overpromised and underdelivered?We explore the challenges of developing AI agents, including the chicken-and-egg problem of creating a market for specialized AI tools.We also look ahead to the future of AI agents, discussing their potential integration into robotics and ambient computing. Finally, we consider the regulatory landscape and what it means for the future of AI agents.-Send us your questions, feedback and topic suggestions at ⁠⁠⁠[email protected]⁠⁠⁠Find more info at ⁠⁠⁠https://maindsetpodcast.com⁠⁠⁠-In this episode (chapters):00:00 Introduction00:35 The Hype01:12 The Reality 10:52 The Chicken and Egg Problem13:28 Overpromising and Underdelivering20:21 The Importance of Integration25:52 The Apple Vision31:56 The Cost of AI Agents38:09 The Future of AI Agents46:25 Conclusion

You are watching (or listening to) the next episode of the⁠#mAIndsetpodcast⁠: Shaping What You Know And Think About AI.In this episode, David and Filip discussed the current state of the AI market and especially looked at OpenAI, its current announcements like Deep Research or the latest reasoning models and tried to explained whether the company is still the market leader everyone seems to believe it is.The mAIndset podcast is hosted by David Tvrdon, a technology journalist, entrepreneur, and media strategist, and Filip Vitek, an AI executive. Authors were looking for a practical podcast on AI and after missing one for a long ended up creating one instead.Send us your questions, feedback and topic suggestions at⁠⁠[email protected]⁠⁠Find more info at⁠⁠https://maindsetpodcast.com⁠⁠In this episode (chapters):00:00 Introduction00:43 Is OpenAI Still the Leader?03:21 SWOT Analysis of OpenAI09:37 Deep Research14:21 Reasoning Models25:35 OpenAI's Strategy for the Future27:42 Will OpenAI be Profitable?31:44 AGI36:27 OpenAI's Strategy for the Future39:54 Other Players42:53 Apple and Amazon Have the Biggest Potential44:57 Conclusion

You are watching (or listening to) the next episode of the #mAIndsetpodcast: Shaping What You Know And Think About AI. In this episode, your hosts David and Filip take open-source in AI for a spin. We all know Open source is used in Software or application development. But what does it really mean to be open-source in AI? Is Open-source at par with or inferior to commercial alternatives? What will Meta’s future strategy be with Llama? What is the market share of Open source on total AI development? For which developers does it payoff to be open-source heavy? How will be Open-source used in military and other touchy areas? The mAIndset podcast is hosted by David Tvrdon, a technology journalist, entrepreneur, and media strategist, and Filip Vitek, an AI executive. Authors were looking for a practical podcast on AI and after missing one for a long ended up creating one instead. Send us your questions, feedback and topic suggestions at ⁠[email protected]⁠ Find more info at ⁠https://maindsetpodcast.com⁠

You are listening to the first episode of the mAIndset podcast. Send us your questions, feedback and topic suggestions at [email protected] Find more info at https://maindsetpodcast.com