Stanford Lecture: AI Slashes Build Costs, Entry Barriers and Switching Costs at Once
le_james94 · x · 2026-09-26
Notes from Lecture 4 of Stanford's MS&E 435 (Ali Ghodsi):
- Core claim: AI lowers the cost of building software, the barrier to entry, and switching costs — all at once, making competition brutally intense.
- Ghodsi wrote a Databricks connector himself in two days to show that code was never the bottleneck; the moat no longer lives in the software itself.
More from AGI Musings
- Claim: China's AI progress is 'stunning', US has ~7 months to deploy open source plans — TinfoilTricorn · 2026-09-26
- Ex-OpenAI policy lead: friends flood him with AI worries, and he can't tell them it's overblown — Miles_Brundage · 2026-09-26
- "Fake AI Incidents Are a Bigger Threat Than Autonomous AI," Argues Srinivasan — robleclerc · 2026-09-26
- Dev Advice: AI Makes Platform-Heavy Side Projects the Best Career Bet — himanshustwts · 2026-09-26
- AI Safety Space Has Serious Sexism Problems, Predicts Public Assault Account Within 2 Years — ShakeelHashim · 2026-09-26
- US media's AI doom narrative shapes public fear; author sees no easy fix — Dr_Singularity · 2026-09-26