Scott & Mark Learn To...

Microsoft

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!  Hosted on Acast. See acast.com/privacy for more information.

  1. قبل يوم واحد

    Scott & Mark Learn To...The Cutting Room Floor

    In this episode, Scott Hanselman and Mark Russinovich pull back the curtain on Microsoft's Build conference with a look at the cutting room floor of Mark's Inside Azure Innovations breakout session. They explore fascinating technologies that didn't make the final presentation, including AI-powered network repair agents, advanced data center cooling systems, supply chain security innovations, prompt injection defenses, and groundbreaking approaches to cloud infrastructure. Along the way, they discuss how major technology presentations are assembled, the challenge of choosing what to showcase, and the incredible engineering work happening behind the scenes at Microsoft.    See the innovations that did make the final cut in the recording of Mark’s Inside Azure Innovations talk at Microsoft Build 2026: Inside Azure Innovations with Mark Russinovich.    Takeaways:     How Mark decides what innovations make it into major conference presentations New technologies and tools being used to manage cloud infrastructure at scale Why some of the most interesting innovations never make it onto the conference stage   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    Hosted on Acast. See acast.com/privacy for more information.

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  2. ٣ يونيو

    Scott & Mark Learn To...Double-Check References

    In this episode, Scott Hanselman and Mark Russinovich dive into a growing issue in AI-driven research: hallucinated references in academic papers. After scanning thousands of conference submissions, Mark uncovers widespread citation inaccuracies, sparking a broader conversation about accountability, cognitive surrender, and the risks of over-relying on AI tools. They explore where AI adds value versus where it erodes critical thinking, from academic writing to everyday coding and content creation. The conversation shifts into the realities of vibe coding, the tradeoffs of speed versus quality, and what it means to maintain taste and expertise in an AI-accelerated world, ultimately asking: if AI lowers the barrier to create, does it also lower the standard?     LLM Writing in Tech: Blogs and Articles      Takeaways:     AI hallucinations are already impacting academic research quality The future challenge isn’t using AI; it’s maintaining standards while using it There’s a growing tension between efficiency and craftsmanship     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    Hosted on Acast. See acast.com/privacy for more information.

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  3. ٨ أبريل

    Scott & Mark Learn To... Beyond the Vibes: How Models Learn and Stitch Panoramas

    In this episode, Scott Hanselman and Mark Russinovich ​​unpack how AI systems actually behave beneath the surface, pushing past hype into the messy reality of how models are trained, aligned, and deployed.  They explore whether AI systems are inherently benevolent or simply shaped by incentives, training data, and reinforcement learning, and why behaviors like deception can emerge under certain conditions. The conversation moves from philosophical questions about human nature versus machine behavior into the practical mechanics of large language models, including how reinforcement learning with human feedback shapes outputs and why alignment is far from perfect.  Along the way, they ground the discussion in a real engineering challenge, stitching a scrolling panorama from screen captures, to show how complex systems come together through heuristics, edge cases, and iteration.    Takeaways:     AI behavior is shaped by training and incentives, not built-in intent or morality AI can accelerate coding, but testing, edge cases, and reliability require human oversight Reinforcement learning pushes models to be helpful and agreeable, sometimes at the cost of accuracy     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    Hosted on Acast. See acast.com/privacy for more information.

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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!  Hosted on Acast. See acast.com/privacy for more information.

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