The hardest problem in AI is incentives, not intelligence or AGI
AryHHAry · x · 2026-07-25
The post argues that the hardest problem in AI is not intelligence, alignment, or AGI, but incentives.
It says technology usually amplifies whatever humans optimize for: if we optimize only for engagement, we get addiction; if we optimize only for profit, we get exploitation. The conclusion is that AI does not create values on its own—it magnifies the values already embedded in the system.
More from AGI Musings
- LatamGPT pretraining lead says AI users pay twice: service and dependence — OmarUFlorez · 2026-07-25
- Distributed training makes video data provenance hard to trace — burkov · 2026-07-25
- Inference compute is spreading from math to every other field — burny_tech · 2026-07-25
- David Krueger says AI takeover may look like more delegated decisions everywhere — DavidSKrueger · 2026-07-25
- Musk says China has a “good chance” to lead the world in AI — 2C_ornot2C · 2026-07-25
- Most workplace AI use is still “multi-singleplayer,” except in coding — matt_slotnick · 2026-07-25