In this episode of Scott & Mark Learn To, Scott Hanselman and Mark Russinovich explore the evolving role of AI in tech, from leveraging tools like GitHub Copilot to boost productivity in coding, to the potential pitfalls of over-reliance on AI. They discuss how AI is reshaping both education and professional development and reflect on the challenges of large language models (LLMs), including issues like hallucinations, indirect prompt injection attacks, and jailbreaks. Mark highlights how models, shaped by Reinforcement Learning with Human Feedback (RLHF), can still produce unpredictable results, underscoring the need for transparency, safety, and ethical use in AI-driven systems.
Takeaways:
Whether reliance on AI affects one's foundational coding skills and overall efficiency
How to balance continuous learning with maintaining expertise in technology fields
AI models sometimes produce hallucinations and the importance of understanding how to effectively use these tools
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