Debut Episode - The Brain on ChatGPT: 2 Mistakes We All Make and 3 Protocols to Get Smarter with AI

Описание: In this debut podcast episode of Balance and Breakthrough, I sit down with my buddy Marcel Gregoriadis (a PhD candidate in Computer Science) to talk everything AI. We break down exactly how LLMs work and the most common mistakes we all make. We cover exciting research showing how AI cam boost productivity by 40% and how to harness AI’s creativity to fuel our breakthrough ideas. We also discuss the dangers of overusing AI: An MIT study found that 83% of participants couldn’t remember their own essays, their brain shut down when they used AI as a shortcut for their work. We also share 3 practice-backed protocols to augment, not automate your intelligence with AI. Finally, we speculate on what this all means for our generation entering the job market.

Timestamps:
00:00 | Trailer and key take-aways
01:18 | Intro: The mission of Balance & Breakthrough
01:48 | Welcome to the Debut Episode: Meet Marcel (PhD Candidate in Computer Science)
03:56 | AI Fundamentals: Breaking down LLMs
10:08 | The Breakthrough: How the “attention mechanism" changed everything
21:48 | Mistake #1: Context Rot - Why your chat gets dumber as it grows
23:52 | Mistake #2: Don’t just tell chatbots what to do, create the vibe and persona
30:25 | The Manager vs. The Minions: How to think about AI collaboration
32:26 | The Harvard/Wharton Study: A 40% quality boost for consultants
37:20 | The Autopilot Danger: Falling asleep at the AI wheel
39:23 | Groupthink: Why AI makes organisations less diverse
40:55 | The Creativity Test: Why ChatGPT beats MBA students 35 to 5 in start-up competition
44:03 | The MIT Brain Study: 83% of users forgot their own work!
50:40 | Protocol 1: The "Brain First" Rule: Do the hard thinking first, then bring in AI to augment your intelligence
52:35 | Protocol 2: The “Lean Startup” Prompting Method: Using AI iteratively to stop it from building a "nonsense cathedral"
54:40 | Protocol 3: The “Sequential Thinking” Protocol: The trick to force the AI to critique its own answers
1:02:01 | The Future of Work: Are juniors becoming irrelevant?
1:06:09 | Dystopia vs. Utopia: Universal Basic Income and the 10-hour work week?!
1:11:31 | The Paradox: Use AI less to use it more
1:12:32 | Closing Tradition: Marcel’s Search for balance and his breakthroughs

Follow Balance and Breakthrough on Spotify:
https://open.spotify.com/show/1ormtjb...

Resources Mentioned in this Episode:
Books
Co-Intelligence: Living and Working with AI by Ethan Mollick: https://www.amazon.com/Co-Intelligenc...

Research Articles and Studies:
Attention Is All You Need (2017): https://proceedings.neurips.cc/paper/...
The Harvard/Wharton/BCG Study: Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality (2023): https://www.hbs.edu/faculty/Pages/ite...
The MIT Media Lab Study: Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task: https://www.media.mit.edu/projects/yo...

Connect with the Guest:
Marcel Gregoriadis (PhD Candidate in Computer Science, TU Delft)
LinkedIn:   / marcel-gregoriadis  

Connect with the Host:
Noah Maurer (PhD Student in Management and Entrepreneurship, Imperial Business School)
Instagram:   / noah_ehw  
LinkedIn:   / noah-maurer