AI is moving quickly. 💨
Here are the highlights from the week that was in AI and Chipplandia and our spicy takes on what it actually means 🌶️:
AI Highlights from Around the Web
Why AI Take-Off Will Be Relatively Slow
Tyler Cowen shares his thoughts on AI's gradual integration into the economy, citing structural bottlenecks and human adaptation challenges. Check out his detailed analysis on Marginal Revolution.
🌶️ We see a big gap between what’s possible and what’s done. While anyone can pick up AI and work with it, there is a big gulf due to agency, knowledge, and permission. Chipp is working to close this gap, but it’s likely to continue.
The Coming Software Explosion
Michael Mignano predicts we'll see a 100x increase in software applications thanks to AI. He argues that non-coders will emerge as "creators," building highly specialized tools that serve niche markets - with some becoming incredibly successful.
🌶️ We would never build software for one person, but now you can! This will change how we think about software, UI, and more. It’s closer to the “customize your burger” type experience rather than buying a fixed SaaS license.
The AI Performance-Cost Curve
Ethan Mollick highlights how AI models are rapidly improving in capability while simultaneously becoming cheaper. His graph shows the dramatic performance improvements alongside cost reductions that many companies haven't yet fully leveraged.
🌶️ Our costs have dropped almost 90% per API call since we started. That is crazy. With increased competition for LLMs, expect this to continue.
Chipp Highlights
Non-Profit Status Checking
Scott shows how AI can automatically check hundreds of non-profit statuses with the IRS without human intervention.
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