We should expect that the incentives and culture for AI-focused companies to make them uniquely terrible for producing safe AGI.
From a “safety from catastrophic risk” perspective, I suspect an “AI-focused company” (e.g. Anthropic, OpenAI, Mistral) is abstractly pretty close to the worst possible organizational structure for getting us towards AGI. I have two distinct but related reasons:
From an incentives perspective, consider realistic alternative organizational structures to “AI-focused company” that nonetheless has enough firepower to host multibillion-dollar scientific/engineering projects:
In each of those cases, I claim that there are stronger (though still not ideal) organizational incentives to slow down, pause/stop, or roll back deployment if there is sufficient evidence or reason to believe that further development can result in major catastrophe. In contrast, an AI-focused company has every incentive to go ahead on AI when the cause for pausing is uncertain, and minimal incentive to stop or even take things slowly.
From a culture perspective, I claim that without knowing any details of the specific companies, you should expect AI-focused companies to be more likely than plausible contenders to have the following cultural elements:
The first one should be self-explanatory. The second one is a bit more complicated, but basically I think it’s hard to have a safety-focused culture just by “wanting it” hard enough in the abstract, or by talking a big game. Instead, institutions (relatively) have more of a safe & robust culture if they have previously suffered the (large) costs of not focusing enough on safety.
For example, engineers who aren’t software engineers understand fairly deep down that their mistakes can kill people, and that their predecessors’ fuck-up have indeed killed people (think bridges collapsing, airplanes falling, medicines not working, etc). Software engineers rarely have such experience.
Similarly, governmental institutions have institutional memories with the problems of major historical fuckups, in a way that new startups very much don’t.
I'm interested in what people think of are the strongest arguments against this view. Here are a few counterarguments that I'm aware of:
1. Empirically the AI-focused scaling labs seem to care quite a lot about safety, and make credible commitments for safety. If anything, they seem to be "ahead of the curve" compared to larger tech companies or governments.
2. Government/intergovernmental agencies, and to a lesser degree larger companies, are bureaucratic and sclerotic and generally less competent.
3. The AGI safety issues that EAs worry about th... (read more)