mAIndset

Filip Vitek and David Tvrdon
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mAIndset

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.

Episodes

  1. JUL 2

    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

  2. JUN 7

    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

  3. MAY 23

    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

  4. MAY 6

    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

  5. MAR 22

    AI already running #JOB INTERVIEWS: Where Can Candidate Meet (and Use) AI Tools

    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 ⁠⁠⁠⁠ideas@maindsetpodcast.com⁠⁠⁠⁠ 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

    51 min

  6. MAR 1

    AI AGENTS: Next Colleague Or Just Empty Hyped Promise?

    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 ⁠⁠⁠ideas@maindsetpodcast.com⁠⁠⁠ Find more info at ⁠⁠⁠https://maindsetpodcast.com⁠⁠⁠ - In this episode (chapters): 00:00 Introduction 00:35 The Hype 01:12 The Reality 10:52 The Chicken and Egg Problem 13:28 Overpromising and Underdelivering 20:21 The Importance of Integration 25:52 The Apple Vision 31:56 The Cost of AI Agents 38:09 The Future of AI Agents 46:25 Conclusion

    49 min

  7. FEB 13

    OPEN AI, STILL MARKET LEADER in 2025?

    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 at⁠⁠ideas@maindsetpodcast.com⁠⁠ Find more info at⁠⁠https://maindsetpodcast.com⁠⁠ In this episode (chapters): 00:00 Introduction 00:43 Is OpenAI Still the Leader? 03:21 SWOT Analysis of OpenAI 09:37 Deep Research 14:21 Reasoning Models 25:35 OpenAI's Strategy for the Future 27:42 Will OpenAI be Profitable? 31:44 AGI 36:27 OpenAI's Strategy for the Future 39:54 Other Players 42:53 Apple and Amazon Have the Biggest Potential 44:57 Conclusion

    45 min

  8. FEB 4

    OPEN SOURCE AI | It's Share On AI Projects and Where It's Heading

    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 ⁠ideas@maindsetpodcast.com⁠ Find more info at ⁠https://maindsetpodcast.com⁠

    44 min

  9. JAN 9

    2025 AI Surprises, You Are Not Ready For

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

    44 min
  • 9 Episodes

About

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.

Information

  • Creator
    Filip Vitek and David Tvrdon
  • Years Active
    2K
  • Episodes
    9
  • Rating
    Clean
  • Copyright
    © Filip Vitek and David Tvrdon
  • Show Website
    mAIndset

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