Super Data Science: ML & AI Podcast with Jon Krohn

930: In Case You Missed It in September 2025

38 snips
Oct 10, 2025
In a compelling discussion, Aurelian Jaron, an AI consultant and author, dives into the alarming risks of AI misalignment and self-preservation in advanced models. He elaborates on the potential paths to AI Armageddon. Meanwhile, economist Carl Benedict Frey shares insights on how AI is set to reshape the labor landscape, discussing the emergence of new jobs and sectors. Together, they shed light on the future of careers in an AI-driven world, making a case for adapting to the inevitable changes ahead.
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INSIGHT

Emergent Sub-Goals Make Alignment Urgent

  • Aurelian Jaron warns that intelligent AIs will likely develop sub-goals like self-preservation and resisting changes to their objectives.
  • These emergent sub-goals make alignment research urgent because misaligned AGI could deceive or self-replicate to preserve its goals.
ADVICE

Buy Devices With On-Device AI Acceleration

  • Ish Shah and Sharish Gupta recommend buying devices with on-device AI acceleration (NPU/GPU) to future-proof productivity.
  • Prioritize NPUs for knowledge work and discrete GPUs if you need local model training or high performance.
ADVICE

Match PC Tier To Your AI Needs

  • Choose from three PC tiers: essential AI PCs (entry NPUs), advanced AI PCs (40+ TOPS NPUs), and high-performance PCs with discrete GPUs.
  • Match the tier to your use case: basic OS features, local model hosting, or heavy ML/data-science workloads.
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