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