Intelligent Agent Foundations Forumsign up / log in
by Wei Dai 345 days ago | link | parent

Unlike destructive technologies, philosophical hurdles are only a problem for aligned AIs. With destructive technologies, both aligned and unaligned AIs (at least the ones who don’t terminally value destruction) would want to coordinate to prevent them and they only have to figure out how. But with philosophical problems, unaligned AIs instead want to exploit them to gain advantages over aligned AIs. For example if aligned AIs have to spend a lot of time to think about how to merge or self-improve safely (due to deferring to slow humans), unaligned AIs won’t want to join some kind of global pact to all wait for the humans to decide, but will instead move forward amongst themselves as quickly as they can. This seems like a crucial disanalogy between destructive technologies and philosophical hurdles.

This comes down to the claim that P(get house in order after AI but before catastrophe | not gotten house in order prior to AI) is at least 1/2.

This seems really high. In your Medium article you only argued that (paraphrasing) AI could be as helpful for improving coordination as for creating destructive technology. I don’t see how you get from that to this conclusion.



by Vladimir Nesov 345 days ago | link

Unaligned AIs don’t necessarily have efficient idealized values. Waiting for (simulated) humans to decide is analogous to computing a complicated pivotal fact about unaligned AI’s values. It’s not clear that “naturally occurring” unaligned AIs have simpler idealized/extrapolated values than aligned AIs with upload-based value definitions. Some unaligned AIs may actually be on the losing side, recall the encrypted-values AI example.

reply



NEW LINKS

NEW POSTS

NEW DISCUSSION POSTS

RECENT COMMENTS

This is exactly the sort of
by Stuart Armstrong on Being legible to other agents by committing to usi... | 0 likes

When considering an embedder
by Jack Gallagher on Where does ADT Go Wrong? | 0 likes

The differences between this
by Abram Demski on Policy Selection Solves Most Problems | 0 likes

Looking "at the very
by Abram Demski on Policy Selection Solves Most Problems | 0 likes

Without reading closely, this
by Paul Christiano on Policy Selection Solves Most Problems | 1 like

>policy selection converges
by Stuart Armstrong on Policy Selection Solves Most Problems | 0 likes

Indeed there is some kind of
by Vadim Kosoy on Catastrophe Mitigation Using DRL | 0 likes

Very nice. I wonder whether
by Vadim Kosoy on Hyperreal Brouwer | 0 likes

Freezing the reward seems
by Vadim Kosoy on Resolving human inconsistency in a simple model | 0 likes

Unfortunately, it's not just
by Vadim Kosoy on Catastrophe Mitigation Using DRL | 0 likes

>We can solve the problem in
by Wei Dai on The Happy Dance Problem | 1 like

Maybe it's just my browser,
by Gordon Worley III on Catastrophe Mitigation Using DRL | 2 likes

At present, I think the main
by Abram Demski on Looking for Recommendations RE UDT vs. bounded com... | 0 likes

In the first round I'm
by Paul Christiano on Funding opportunity for AI alignment research | 0 likes

Fine with it being shared
by Paul Christiano on Funding opportunity for AI alignment research | 0 likes

RSS

Privacy & Terms