The only difference is that AI is a black box and a lot of what’s going on inside isn’t fully understood. They’re learning as they go, and accepting they don’t know some of the whys as they go to the next step. Unlike the bridge analogy. Which actually makes the problem even more serious, because they don’t fully know why it ends up doing some of the things, and now the newest models are having the processes partially hidden from view. Where only a version back we were being assured they could watch the chain of thoughts and intercept what could be problematic, claiming they’re practicing AI safety in development, now there’s pieces that are not viewable. And they went with it anyway and released it to paying customers. Again with the bridge analogy, some of the parts that might have failed go missing and we don’t know how they broke, what they were made of, etc.

Humans are building AI, but in a sense they are also growing them, while not knowing what seeds they’re throwing together. There’s science and theory behind it, they understand a lot, but they’re getting results back that would prevent a bridge being approved to be built if it had the same uncertainty. So I stand behind holding the people accountable, but more for the recklessness of following profit over scientific research and ethics, as well as using the excuse that if they don’t get there first, someone else will. They aren’t wrong about that, only wrong about it needing to be that type of race.