Raw LLM Responses

To use the phrase of my former CEO "We are not a nursery school". It's the response of companies when dealing with the subject of talent. They don't want to pay for someone with less experience and train them up over time (even if it may be cheaper in the long run) they want what they want now, even if that means having to pay a premium and poaching. Additionally, they don't want you to move up, which leads to them eventually leaving the company for a promotion. The hallmark for companies embracing AI as labor replacements is that they do not have to pay the price for it, large scale joblessness, tapping out social programs? That's someone else's problem. In the context of work replacement, if you can get past that it can just make up stuff (hallucinations) you need to look at what problem you're trying to solve for. Is the bottleneck only at their level or would it simply shift downstream? There was an example in England where they replaced a judge's clerks with AI to draft his opinions and such, citing how much time was needed by the clerks. The problem is that, if he is reviewing them, the velocity may not change much since he would be the bottleneck. Law is going to be an interesting field for the future, since it heavily relies on deep dives into existing data, it makes it the perfect place to go full AI to the point that you might have a firm where there is just one human to collect the money and the work is done by machine.