mAIndset

Filip Vitek and David Tvrdon
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  • TECHNOLOGIES
  • CHAQUE SEMAINE

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. -1 J

    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 min

  2. 5 SEPT.

    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 min

  3. 15 AOÛT

    2025 AI Turns Nobody Saw Coming (but they still happened)

    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.

    40 min

  4. 23 JUIL.

    Special Episode : "AI Will Hit Me Before I Turn 50"

    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 ?!

    50 min

  5. 2 JUIL.

    Zuckerberg's AI Billions: Desperate CatchUp OR Another Instagram-Like Move?

    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? Chapters 00:00 Introduction to AI Trends 01:23 Meta's AI Ambitions and Challenges 10:30 Zuckerberg's Strategic Moves in AI 18:13 Acquisition of Scale AI: Implications 27:10 The $100 Million Sign-Up Bonuses 38:35 Legacy and Future of Meta's AI Strategy

    42 min

  6. 7 JUIN

    Get To Know MCP in AI & What Alternatives To It Are There

    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. Takeaways MCP 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

    32 min

  7. 23 MAI

    Using AI Secretly Behind Manager's Back : How To Do It Correctly

    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" Chapters 00:00 Introduction to AI in the Workplace 03:05 The Ethics of Using AI Secretly 05:56 Reasons Employees Use AI Without Consent 09:07 The Impact of Company Policies on AI Usage 12:10 The Cost of AI and Employee Choices 15:00 Legal and Security Concerns in AI Usage 17:56 Employee Motivations for Using AI 21:04 The Dangers of Misusing AI 23:54 Evaluating AI Use Cases in the Workplace 28:28 Summarizing Internal Documents and Meeting Notes 34:31 Medium Risk AI Use Cases 44:10 High Risk AI Use Cases 51:13 Understanding the Risks of AI Usage

    56 min

  8. 6 MAI

    Is Apple Intelligence, Deadly Sin Of Apple OR Just Embarrassing (But Minor) Blunder?

    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

    41 min
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À propos

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.

Informations

  • Création
    Filip Vitek and David Tvrdon
  • Années d’activité
    2 k
  • Épisodes
    13
  • Classification
    Tous publics
  • Copyright
    © Filip Vitek and David Tvrdon
  • Site web de l’émission
    mAIndset

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