AI & Tech
Richard Socher argues AI self-improvement bans would require mass surveillance
Peter Diamandis
Recursive's $670M Bet on Self-Improving AI, Sonnet 5.5 Hits 70%, Elon Co-Leads Pentagon Push EP 299
What was said
"I would argue and this is maybe a strong stance to really truly enforce no recursive self-improvement for instance you would need a totalitarian surveillance state the likes of which humanity has never seen because anyone can have a GPU on their little laptop and ask that AI to just like improve its harness."
Richard Socher argues that banning recursive self-improvement in AI would be impractical to enforce without pervasive monitoring of private use. He says people could run small self-improvement loops on local hardware, and that serious enforcement would resemble “thought police” oversight.
Verification status
Attributed speaker claim
Egleze verified who said this and where. The underlying claim has not been independently established by Egleze.
Source and context
Egleze verified who said this and where. The underlying claim has not been independently established by Egleze.
- Speaker
- Richard Socher · guest
- Programme
- Peter Diamandis
- Episode
- Recursive's $670M Bet on Self-Improving AI, Sonnet 5.5 Hits 70%, Elon Co-Leads Pentagon Push EP 299
- Clip time
- 1:21:04
- Original source
- Watch the source segment →
From this episode
Peter Diamandis