Conor Grennan: AI Mindset, NYU GenAI, & Practical AI | Around the Prompt #4

[@ConorGrennan]

Super fun conversation with you guys!

[@BlueBirdBack]

Connor's Take on Generative AI and Education: 1. Debunking AI Myths: Connor stresses that most people don't have a tech background and struggle to grasp AI. He thinks it's more about changing habits, like starting a new workout routine, rather than being a tech whiz. He suggests focusing on how AI can simplify daily tasks, rather than getting bogged down in technical details. 2. The Trouble with Use Cases: Connor argues that relying too heavily on use cases limits our understanding of AI's potential. He thinks this approach can create solutions that don't really solve a problem. Instead, he advocates for exploring AI without preconceived notions to uncover its true potential. 3. A Fresh Perspective: Connor's non-technical background gives him a unique view of AI, allowing him to see its possibilities from a different angle. He likens his role to a personal trainer who gets what it's like to start from scratch. He emphasizes the importance of bringing in fresh perspectives to think outside the "tech bubble." 4. AI's Gradual Growth: Connor points out that AI's progress is gradual, not a sudden game-changer. He notes that people expect AI to be a magic fix, but it's more about delegating tasks and boosting efficiency. He believes the future of AI lies in personalization and learning, not replacing humans entirely. 5. The Need for Clear Communication: Connor stresses the importance of explaining AI in a way that's easy to understand, avoiding tech jargon and using relatable examples instead. He thinks that by making AI more accessible, we can unlock its full potential and encourage more widespread adoption.

[@oliver_parker_ai]

thanks both. fun of yours. would love to connect!

[@JAYWRITE-h3e]

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