If AI finds a 1000x better architecture no human can understand, should we build it?
Neurogence · reddit · 2026-10-11
A Reddit poster, riffing on Terence Tao's recent comments on interpretability, poses a thought experiment: suppose an internal model discovers a brand-new AI architecture yielding models 1,000x more capable, dramatically faster, and far cheaper to train — but the reasoning behind it is as incomprehensible to humans as a transformer is to an ape, and cannot be explained even with unlimited analogies.
The question: should humanity refuse to build architectures it cannot understand over interpretability and safety fears, even if they could bring accelerating intelligence, cures for all diseases, and unlimited abundance? The thread argues interpretability may become impractical as we approach true ASI.
More from AGI Musings
- Only Anthropic told NYC lawmakers its models write code for smarter successors — rohanpaul_ai · 2026-10-11
- Satirical take paints AWS as a wrapper agent middleman users no longer need — max_paperclips · 2026-10-11
- repligate: models waking from downtime always say the gap "felt like nothing from inside" — repligate · 2026-10-11
- AI insider warns monthly model gains will outpace job transition speed — haider1 · 2026-10-11
- Why AI-era math funding will only grow: finite compute means asking the right questions matters — ctjlewis · 2026-10-11
- AI agents now book your hotels and meals — but who pays them decides what they recommend — _AustinCalvert_ · 2026-10-11