Why AI Will Make In Person Businesses More Valuable Than SaaS (Not Less)
AI Summary
Video Summary
Office Hours 3
This episode addresses a viewer’s question regarding handling large feeding logs back to Cursor, and discusses various strategies for managing log data and debugging.Key Points:
- Question from The Killa Lizard:
- How to feed massive logs back to Cursor?
- Concern: Limited attempts to fix problems before the model fails.
- Strategies Discussed:
- TXT File Approach:
- Save logs to a .txt file for reference in Cursor.
- Root Cause Analysis:
- Summarize previous conversations, focusing on errors and nuances.
- Use the summary as a prompt for another AI engineer to identify the root cause without altering any code.
- Reinforcement Learning Method (Pseudo):
- AI generates a specification document using Test-Driven Development (TDD) approach.
- Write unit and integration tests first, then implement functionality, ensuring it meets the tests before addressing failures.
- Gemini 2.0 Pro:
- Explore capabilities of Gemini 2.0 Pro and its large context window; run entire logs through it for possible one-shot fixes.
- Random Thought of the Day:
- Reflection on the future of SAS and digital software:
- Anticipates increased competition in software due to AI ease of use.
- Predictions of new sustainable advantages centered around network effects, private data, and in-person services.
- Observations of rising trends in social, in-person events driven by community building.