This is a special post for quick takes by Thomas Kwa. Only they can create top-level comments. Comments here also appear on the Quick Takes page and All Posts page.
I talked to someone at an AI company [1] who thought safety would be net unaffected by timelines. The argument was:
Assuming x-risk is real, a higher ratio of safety to capabilities progress is good for safety
AI safety's growth is largely caused by increased AI hype, new models to study, and other factors downstream of AI capabilities
Slowing down or speeding up capabilities will slow/speed safety investment by roughly the same amount
Therefore, there will be no net safety impact.
However, even if 1-3 are true, I claim 4 doesn't follow.
Suppose AI capabilities progress happens by people noticing capabilities improvements and making them, and safety progress happens by people noticing safety issues and solving them, both with a time lag of 1 year. Suppose further that each capability improvement causes 1 safety issue.
If there are 10 capabilities improvements per year, then the steady state is 10 outstanding safety issues.
If everything doubles, AI labs make 20 capabilities improvements per year but the time lag is still 1 year, so there will be a steady state of 20 outstanding safety issues.
4 only holds if the time lag decreases in lockstep with increasing investment. However, this seems false because most ways capabilities would speed up involve more parallel labor/compute or faster algorithmic progress, not faster feedback loops from the real world that would transfer to safety.
By analogy, suppose that the speed of cars increased from 20mph to 100mph in one year in 1910. Even if the same technology sped up the invention of airbags, ABS, etc. to 2010 levels, more people would die in car crashes because they couldn't be installed until the next model year [2], unless companies proactively did real-world testing and delayed the release of the super fast car until such safety features could be invented and integrated, which would be a huge competitive disadvantage. Likewise, if cyberattacks/power-seeking/etc are solvable but require real-world data and fixes only make it into the next model release, immediately getting a 2035-era superintelligence plus 10 years of safety research will result in way more cyberattacks and power-seeking.
[1] Mechanize, specifically
[2] Retooling Ford factories was actually super expensive, I read somewhere that it required shutting down factories for six months.
What would you have done, just not mention the person works at mechanize? I happen to know someone who works there and had this convo in person, not due to the twitter mind virus. And I think people should know why the claim in the post is relevant; omitting it would be omitting important context.
Yeah, I think would have just said “someone who works at an AI capabilities company”. (I’m not trying to make this a big deal or controversy, I just find myself very irritated by how they get attention by antagonizing AI safety people in ways that seem bad faith to me.)
By all means you can ignore them and refuse to mention them, and call people silly for continuing to pay attention to them, but a "discourse sanction" is not what I think LessWrong is about. People should feel free to engage in whatever ideas they want, regardless of who or what originated them.