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Scott & Mark Learn To...

Scott & Mark Learn To...

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Join tech industry veterans Scott Hanselman and Mark Russinovich as they dive into the challenges and innovations of today’s fast-paced world. Whether you’re an experienced developer or simply curious about technology, each episode offers a fresh perspective on emerging trends, familiar topics, and insights that go beyond the strictly technical. From the latest in AI to effective ways to influence without authority, Scott and Mark set out to 'learn' something new in every episode, and they’re bringing you along for the ride. Join Scott and Mark for engaging discussions, expert advice, and a shared journey of learning and discovery. There's always something new to learn!©2026 Microsoft Economia Ricerca del lavoro Successo personale
Episodi
  • Scott & Mark Learn To... SemanticStart

    Scott & Mark Learn To... SemanticStart
    Oct 7 2026
    In this episode, Scott Hanselman and Mark Russinovich dive into Mark’s new SemanticStart project, exploring how semantic search can make finding Windows apps, tools, and settings more intuitive. Along the way, they experiment with AI-assisted coding, discuss how agents could interact with local tools, and debate a bigger question: does prompting an AI actually count as programming? Takeaways: How semantic search combines keywords, embeddings, and enriched data Why AI is changing the way developers build and prototype software Whether prompting an AI should actually be considered programming. Who are they? View Scott Hanselman on LinkedIn View Mark Russinovich on LinkedIn Watch Scott and Mark Learn on YouTube Listen to other episodes at scottandmarklearn.to Discover and follow other Microsoft podcasts at microsoft.com/podcasts
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    43 min
  • Scott & Mark Learn To... Fool's Gold

    Scott & Mark Learn To... Fool's Gold
    Sep 23 2026
    In this episode, Scott Hanselman and Mark Russinovich dive into the security risks surrounding increasingly capable open-weight AI models and Mark’s latest research into a new defense called Fool’s Gold. Mark explains how safety guardrails can be removed from open models and explores an alternative approach: training models to provide convincing but deliberately flawed information when those protections are bypassed. They discuss how the technique works, whether it affects legitimate model behavior, and what it could mean for the future of AI safety as open models continue to advance. Takeaways: Why open-weight AI models can create new security risks How Mark’s Fool’s Gold approach uses decoy responses as a defense decoy responses as a defense Techniques that can protect against harmful use without degrading normal model performance Who are they? View Scott Hanselman on LinkedIn View Mark Russinovich on LinkedIn Watch Scott and Mark Learn on YouTube Listen to other episodes at scottandmarklearn.to Discover and follow other Microsoft podcasts at microsoft.com/podcasts
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    36 min
  • Scott & Mark Learn To...Enjoy the Journey

    Scott & Mark Learn To...Enjoy the Journey
    Sep 9 2026
    In this episode, Scott Hanselman and Mark Russinovich explore when to let AI solve a problem and when figuring it out is half the fun. They celebrate 30 years of Sysinternals by looking back at how the tools have evolved and how AI is changing software engineering and troubleshooting. Along the way, they debate efficiency versus learning by doing and consider a future where tools may increasingly be built for AI rather than humans. Takeaways: How Sysinternals has evolved over the past 30 years How AI is changing software engineering and troubleshooting Why future developer tools may be designed for AI, not humans Who are they? View Scott Hanselman on LinkedIn View Mark Russinovich on LinkedIn Watch Scott and Mark Learn on YouTube Listen to other episodes at scottandmarklearn.to Discover and follow other Microsoft podcasts at microsoft.com/podcasts Produced by Hangar Studios Hosted on Acast. See acast.com/privacy for more information.
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    20 min
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