| ▲ | Protostome 5 hours ago | |
Obviously, the scenario portrayed in The Economist article is a little far-fetched. I agree that a teenager won’t plan a deadly virus with ChatGPT anytime soon. But I think the overarching argument here is mostly correct, a lot of really complicated science has been democratized to the point where it is much more accessible. You don’t need a team of brilliant molecular biologists, biochemists, and bioinformaticians to do what you can do with a few agents today. And the pace is increasing. this is the nature of exponential improvement when you approach what Kurzweil popularly call "singularity" Sure, today, peptide inhibitors and enzyme design are still out of reach for many tasks, I know because that's what I also, as the post authoer, do for a living for the past 15 years. However, only five years ago, protein structure prediction was an open problem, and everyone in our field now regards it as solved. I’m not worried about a lone wolf taking advantage of AI to design viruses, but I’m concerned that the bar has been lowered to the point where many rogue governments or terrorist organizations can now access tools and skills that were previously available to very few people with a prohibitively high price tag. The author here looks at the problem with the tunnel vision of a scientist well versed in the field. I know because I’m one as well, but experience has taught me to be more concerned about the unknown unknowns. There could be a team somewhere working on something we haven’t thought about. It doesn’t have to be a population destroyer, either. It could be a tactical infectious agent or something that isn’t meant to kill everyone but ends up being far more dangerous than it initially seems, with implications that are much longer lived than the team anticipated. I’m not saying we should ban AI or do anything radical, but I do think that with great power comes great responsibility, and we aren’t dedicating enough effort to the responsibility part. There are many benchmarks measuring AI capabilities, but not enough measuring safety. It is becoming increasingly important to develop those. | ||