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AI + PKM: Thinkers Class
Here's a breakdown of the recording:
Beginning — Overview
- 00:05:12 – 00:07:35 | Gradient of AI Interactions: What is your current approach?
- 00:07:35 – 00:15:56 | Pitfalls: Three huge pitfalls of working with AI
- 00:15:56 – 00:19:20 | The Unexpected Insight: Is more or less data better?
- 00:19:20 – 00:20:44 | Sensemaking Archetypes (Producer, Creative, Inner Guide, Synthesizer)
- 00:20:44 – 00:22:57 | Misconceptions about AI: One prompt to rule them all?
- 00:22:57 – 00:23:34 | IDI: The Three Rules of Engaging with AI (FREE DOWNLOAD BELOW 👇)
Middle — Four Demos & Exercises
- 00:23:34 – 00:30:42 | Producer: Using Claude/GPT to do deep research on somebody
- 00:30:42 – 00:37:31 | Creative: Using Claude/GPT to get feedback on writing
- 00:37:31 – 00:42:51 | Inner Guide: Using Claude Code to analyze journal entries
- 00:42:51 – 00:55:06 | Synthesizer: Using Claude Code to add metadata to 4000 old notes from Evernote
End — Takeaways
- 00:55:06 – 00:56:44 | Crucial AI best practices + Setting up Claude Code
- 00:56:44 – 01:00:58 | 5 Takeaways on AI + PKM
- 01:00:58 – 01:02:04 | The Promise of the Workshop
Q&A — 60 Additional Minutes of Thought-Provoking Questions
- 01:02:32 | Q1 - Deep research: paid or free?
- 01:03:32 | Q2 - Thriving Ideaverse
- 01:05:13 | Q3 - Privacy in Claude Code
- 01:09:03 | Q4 - Criteria on selecting Claude
- 01:13:17 | Q5 - Agent on keeping AI updated
- 01:22:11 | Q6 - Tips on working with AI
- 01:24:36 | Q7 - Tips in dissecting information
- 01:28:50 | Q8 - People unfamiliar with AI
- 01:32:40 | Q9 - Other AI besides Claude Code
- 01:36:43 | Q10 - Local AI Models
- 01:38:11 | Q11 - Steps in making AI sustainable
- 01:42:33 | Q12 - Society’s Future with AI
- 01:45:53 | Q13 - Arguing with AI, Different Results
- 01:48:58 | Q14 - What to Learn First (Coding or Not?)
- 01:50:18 | Q15 - Explosion in Methodology?
- 01:57:23 | Closing Thoughts
- 01:59:21 | Invitation to Linking Your Thinking
- 02:05:49 | End
