tech
Welcome to Efficiencymaxxing
Plus: Why intent beats volume, a new AI productivity status metric, and a tool for squeezing the most out of cheaper models
TL;DR
- The initial affordability and novelty of AI have been replaced by rising costs and the labor involved in managing its outputs.
- The focus in AI usage has shifted from quantity to demonstrating tangible benefits and justifying costs.
- Craig Mod emphasizes preserving writing time and using AI for tool-building as a response to accessible software creation.
- A new metric, 'revenue per million tokens,' is emerging in San Francisco to measure enterprise AI efficiency.
- Tools and strategies are being developed to manage complex AI model stacks and optimize token usage.