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Eliezer Yudkowsky
AI researcher and writer
ai (5)
ai-safety (5)
existential-risk (5)
ai-risk (4)
ai-ethics (3)
ai-governance (3)
ai-regulation (3)
ai-policy (2)
democracy (2)
future (2)
ai-alignment (1)
ai-deployment (1)
cybersecurity (1)
digital-democracy (1)
economics (1)
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Should we have a universal basic income?
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Should we use electronic voting machines?
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Does AI pose an existential threat to humanity?
Eliezer Yudkowsky strongly agrees and says:
the most likely result of building a superhumanly smart AI, under anything remotely like the current circumstances, is that literally everyone on Earth will die. Not as in “maybe possibly some remote chance,” but as in “that is the obvious thing that would happen.” It’s not that you can’t, in principle, survive creating something much smarter than you; it’s that it would require precision and preparation and new scientific insights, and probably not having AI systems composed of giant inscrutable arrays of fractional numbers. (2023) source Verified -
Should we ban future open-source AI models that can be used to create weapons of mass destruction?
Eliezer Yudkowsky strongly agrees and says:
But open sourcing, you know, that's just sheer catastrophe. The whole notion of open sourcing, this was always the wrong approach, the wrong ideal. There are places in the world where open source is a noble ideal and building stuff you don't understand that is difficult to control, that where if you could align it, it would take time. You'd have to spend a bunch of time doing it. That is not a place for open source, because then you just have powerful things that just go straight out the gate without anybody having had the time to have them not kill everyone. (2023) source Unverified -
Could AGI quickly lead to superintelligence?
Eliezer Yudkowsky strongly agrees and says:
From our perspective, an AI will either be so slow as to be bottlenecked, or so fast as to be FOOM. [...] 'AI go FOOM'. (2008) source Unverified -
Should humanity ban the development of superintelligence until there is broad scientific consensus that it will be done safely and controllably and strong public buy-in?
Eliezer Yudkowsky strongly agrees and says:
The moratorium on new large training runs needs to be indefinite and worldwide. There can be no exceptions, including for governments or militaries. If the policy starts with the U.S., then China needs to see that the U.S. is not seeking an advantage but rather trying to prevent a horrifically dangerous technology which can have no true owner and which will kill everyone in the U.S. and in China and on Earth. Shut down all the large GPU clusters (the large computer farms where the most powerful AIs are refined). Shut down all the large training runs. Put a ceiling on how much computing power anyone is allowed to use in training an AI system, and move it downward over the coming years to compensate for more efficient training algorithms. [...] If intelligence says that a country outside the agreement is building a GPU cluster, be less scared of a shooting conflict between nations than of the moratorium being violated; be willing to destroy a rogue datacenter by airstrike. (2023) source Verified -
Should humanity build artificial general intelligence?
Eliezer Yudkowsky strongly disagrees and says:
Many researchers steeped in these issues, including myself, expect that the most likely result of building a superhumanly smart AI, under anything remotely like the current circumstances, is that literally everyone on Earth will die. Not as in “maybe possibly some remote chance,” but as in “that is the obvious thing that would happen.” It’s not that you can’t, in principle, survive creating something much smarter than you; it’s that it would require precision and preparation and new scientific insights, and probably not having AI systems composed of giant inscrutable arrays of fractional numbers. Some of my friends have recently reported to me that when people outside the AI industry hear about extinction risk from Artificial General Intelligence for the first time, their reaction is “maybe we should not build AGI, then.” [...] Shut it all down. We are not ready. We are not on track to be significantly readier in the foreseeable future. (2023) source Unverified