Note: These are all rough numbers, I'd expect I'd shift substantially about all of this on further debate.
Suppose we made humanity completely robust to biorisk, i.e. we did sufficient preparation such that the risk of bio catastrophe (including AI mediated biocatastrophe) was basically 0.[1] How much would this reduce total x-risk?
The basic story for any specific takeover path not mattering much is that the AIs, conditional on them being wanting to take over, will self-improve until they find they find the next easiest takeover path and do that instead. I think that this is persuasive but not fully because:
So it might be important for misaligned AIs to attempt a takeover early in the intelligence explosion. Specifically, we can ask "how much x-risk is averted if the probability of misaligned AI takeover before TED AI goes to 0?", which attempts to capture all the worlds in which AIs attempt to takeover before TED AI. I think my overall risk reduction is something like 1/4. In other words, there's something like a 3/4 chance the AIs lurk (and can goal guard or align successors), or can backdoor successors, or control their successors.
Now, conditional on the pre-TED AIs attempting to takeover, what are the different routes that they might use? The most salient options to me are:
I think the bio path seems to me to be the most compelling path here by a fair amount; it maybe gets another 1/3 probability of this outcome. So, just from the risk of pre-TED AI AIs attemptinng to takeover, we have somehting like 1/3 * 1/4 = 1/12 probability. If you multiply that by my likelihood of AI takeover, which is around 70%, you get ~6% risk flowing from this route. Then, I update up to ~8% from other AIs, e.g. post-TED AIs relying on biorisk as a route to takeover.
So my overall view on how much x-risk flows through bio-catastrophe is around 8%.
Note that what exactly counts as a bio x-risk is slightly unclear, e.g. at some point the AIs can build drones / nanotech to get into the bio-bunkers, and it's unclear what counts.
This breakdown isn't exhaustive, because another salient possibility is that the AIs are clueless, e.g., they are misaligned with their successors but don't realize it, similar to Agent 3 in AI 2027.
Difficulty of the successor alignment problem seems like a crux. Misaligned AIs could have an easy time aligning their successors just because they're willing to dedicate enough resources. If alignment requires say 10% of resources to succeed but an AI is misaligned because the humans only spent 3%, it can easily pay this to align its successor.
If you think that the critical safety:capabilities ratio R required to achieve alignment follows a log-uniform distribution from 1:100 to 10:1, and humans always spend 3% on safety while AIs can spend up to 50%, the... (read more)