I don't really think that thinking of LLMs and related technologies as "Artificial Humans" is the right way to think about how they're going to be integrated into workflows. What is going to happen is that people are going to be adopt these tools to solve particular tasks that are annoying or tedious for developers to do, in a way similar to the way tools like Ansible and Chef replaced the task of logging into ssh se…
> 1) Those tasks that it is still currently only possible for a human to do. 2) Those tasks which are easier and cheaper for a human to do. I agree, but "1" must include all tasks where a mistake could lead to liabilities for the company, which is probably most tasks. LLMs can't be held responsible for their fuckups, they can't be punished, they have no body. It's like the genie from the bottle, it will grant your th…
Even if an LLM and a human were equally competent, the LLM is not a living being and, I guess, isn’t capable of being liable for anything. You can’t sue it or fire it.
Doctors have to carry insurance to handle their liability. I can see why it would be hard to replace a doctor with an LLM as a result.
Typically engineers aren’t personally liable for their mistakes in a corporate setting. (I mean, there’s the whole licensed Professional Engineer distinction, but I don’t feel like dying on that hill at the moment). So where does the liability “go?” I think it just gets eaten by the company somehow. They might fire the engineer, but that doesn’t make the victim whole or benefit society, right?
Ultimately we’d expect companies that are so bad at engineering to get sued so often that they implement process improvements. That could be wrapped around AI’s instead of people, right? But we’re not using the humans’ unique ability to bear liability, I think?