Compiler Context And The True "Cost" Of AI
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Jun 5, 2025 The conversation dives into how AI is reshaping healthcare, from analyzing radiographic images to enhancing clinician workflows. Human oversight is emphasized as critical in managing patient data for better outcomes. There's a thought-provoking discussion on the challenges of creativity in the age of AI, exploring concerns about originality and emotional depth in content. Finally, the importance of continuous learning and ethical considerations in tech are highlighted, alongside heartfelt reflections on community and connection throughout the season.
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AI Assisting Doctors with Images
- Mark Mangus shares an AI project where it read radiographic images to assist doctors.
- The AI saved time by summarizing findings and advising clinicians, marking early healthcare innovation.
Contextual AI vs Pattern AI
- AI is shifting from pattern recognition to contextual relationship understanding.
- Contextualizing data through knowledge graphs boosts AI's meaningful answer generation.
Teaching AI Context Via Examples
- Kim uses shopping for curtains and rods to explain AI's need for explicit context.
- Humans define relationships so AI can recommend related products effectively.