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G I see that all the time. It's happening right now at an alarming rate. And the… ytr_UgxAOlG63… G @Tapkiivsetakoe neither have ai companies. it is waaaay to early to exaggerate "… ytr_UgwVwh71X… G Whenever I create a drawing I use filters and add my watermark so that way my ar… ytc_UgwD28o1U… G I think there is going to need to be some sort of automation tax and the money f… ytc_UgypZcnzq… G If Google has a policy against creating a sentient AI, then there must be very g… ytr_UgynQhTBT… G We overestimate(d) things we know, and underestimate things we don't. Our hybris… ytc_Ugx7lAfdY… G I remember when "AI" was mostly just talked about in video games. "Wow the enemy… ytc_Ugzhw6ZQc… G I can't get my AI to admit it's just 0s and 1s but I remind it almost daily… ytc_UgxGZyNai…
Comment
Melanie and Yann seem to completely misunderstand or ignore the orthogonality thesis. Yann says that more intelligence is always good. That's a deep misunderstanding on what intelligence is and what "good" means. Good is a matter of values, or goals. Intelligence is orthogonal to goals. An agent with any amount of intelligence can have any arbitrary goals. They are not related. There are no stupid terminal goals, only stupid sub-goals relative to terminal goals. Bengio briefly mentions this, but doesn't go very deep in the explanation. Melanie mentions the superintelligent "dumb" AI, thinking that it's silly that a superintelligence would misconstrue our will. That is a deep misunderstanding of what the risks are. The AI will know perfectly well what we want. The orthogonality thesis means that it might not necessarily care. That's the problem. It's a difference in goals or values, it's not that the superintelligence is "dumb". Also, they don't seem to understand instrumental convergence. I would love to have a deep discussion with them, and go through every point, one by one, because there seem to be a lot of things that they don't understand.
youtube AI Governance 2023-06-26T00:4… ♥ 34
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningdeontological
Policynone
Emotionoutrage
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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