Propaganda or Science: Open-Source AI and Bioterrorism Risk
1a3orn.com
1a3orn.com
This fact also casts some doubt of relevance on the Montague paper as well, which says that a bio agent's ability to spread is so incredibly important. Yes, the ability to spread does amplify the risk enormously for obvious reasons, but there are plenty of non-spreading agents that you can do huge, huge amounts of damage with, including anthrax when used "appropriately."
It will be interesting to see where this attempts to contain the interpretations of fear from the interpretations of fearmongering (or not) leads to.
Maybe AGI gets disagrees with all the manipulators and becomes for the masses.
Definitely doesn't support the idea that Anthrax is easy to DIY.
The idea of just another technology controlled exclusively by mega-corps in a world where a majority of the most powerful technologies are controlled by those corps doesnt seem that bad in comparison with nuclear annihilation. This is missing the fundamental truth of what AI is and therefore missing its most direct comparison. At risk of repeating the same arguments seen elsewhere on HN and other sites: cryptology is definitely the closest comparison.
Both AI and crypto are incredibly clever applications of fundamental mathematics. Both are technologies that are absolutely disruptive to certain monopolies or methods of societal control. Both can be replicated by anyone who understands the basic principles and throws enough resources at them.
I think we are going to watch a similar thing happening where there are many concerted attempts to compromise the technology itself or the availability of said tech and eventually the halls of power are going to end up targeting endpoints instead of the protocol (architecture) itself. The users of a given technology are where regulation ought to (and I believe will) lie in the end.
> I examined all the biorisk-relevant citations from a policy paper arguing that we should ban powerful open source LLMs.
> None of them provide good evidence for the paper's conclusion. The best of the set is evidence from statements from Anthropic -- which rest upon data that no one outside of Anthropic can even see, and on Anthropic's interpretation of that data. The rest of the evidence cited in this paper ultimately rests on a single extremely questionable "experiment" without a control group.
> In all, citations in the paper provide an illusion of evidence ("look at all these citations") rather than actual evidence ("these experiments are how we know open source LLMs are dangerous and could contribute to biorisk").
> A recent further paper on this topic (published after I had started writing this review) continues this pattern of being more advocacy than science.
> Almost all the bad papers that I look at are funded by Open Philanthropy. If Open Philanthropy cares about truth, then they should stop burning the epistemic commons by funding "research" that is always going to give the same result no matter the state of the world.
The rest of the paper supports this thesis with... wait for it... evidence!
I see they are in the effective altruism space. Something about them seems extremely shady to me...
This is a corporation lobbying effort, right? I simply can't believe that anyone else would actually want the power of LLMs to be concentrated in the hands of trillionaire corporations.
In other words: we can kiss offline LLMs goodbye in the near future. My guess is LLMs will be blamed for sole guy building his contraption that gets him in the news and the whole thing will get massive media attention.