EP 487: How AI is making us more productive and dumber at the same time

You're outsourcing your brain to AI 🧠.

Bad idea?

AI can write your SQL queries. Build your dashboards. Even brainstorm your next big idea.

It’s saving you hours. Maybe days.

But here’s the catch—it's also stealing your critical thinking. Making you reliant.

Maybe even... dumber.

Sumit Gupta knows this first-hand. He’s built data strategies at Notion, Snowflake, and Dropbox. 

And, he’s here to break down how AI is both supercharging productivity and quietly eroding our problem-solving skills.

Are we trading our brains for convenience? 

Let’s find out.

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Topics Covered in This Episode:

1. Personal use of Generative AI and productivity vs. intelligence dichotomy
2. Jordan Wilson's participation in the NVIDIA conference
3. Introduction of Sameet Gupta as a guest
4. Role and experience of Sameet Gupta at Notion
5. The impact of AI on productivity and critical thinking
6. Examples of AI tools used by Sameet Gupta
7. Challenges of balancing AI use with retaining critical skills
8. Potential risks and costs of over-reliance on AI
9. White coding and its implications
10. Recommendations and personal strategies to maintain skills alongside AI use
11. The influence of AI on different age groups, particularly students
12. Discussion on cost implications of using AI improperly
13. Notion's capabilities in enhancing productivity and retention
14. The future impact of AI on knowledge workers and the workforce
15. Practical advice for business leaders on AI integration and maintaining productivity

Timestamps:
00:00 "Using AI to Stay Sharp"

04:11 Anthropic's Claude Gains Real-Time Web Access

08:02 Streamlining Dashboards with AI

10:48 "GPT for Quick Code Debugging"

15:34 Guardrails Needed for Costly AI Mistakes

17:27 AI for Repetitive Tasks

20:35 Growing Business with AI Expertise

23:20 AI's Impact on Younger Generation

28:04 AI’s Impact on Future Workforce

30:12 "Notion: Beyond Note-Taking"

33:22 "Validate or Lose Job Security"

36:25 Balancing Productivity and Uniqueness

Keywords:
generative AI, large language models, productivity, NVIDIA conference, OpenAI, voice models, GPT-4, transcription, text to speech, real-time streaming, Google AI, Gmail search, AI-powered fea

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