3 ms·

But they don’t do 80% of the task. They do 100% of the task, but 20% is wrong (and you don’t know which 20% without manually verifying all of it). So it is rea

But they don’t do 80% of the task. They do 100% of the task, but 20% is wrong (and you don’t know which 20% without manually verifying all of it). So it is really great for tasks where do the work is a lot harder than verifying it, and mostly useless for tasks where doing the work and verifying it are similarly difficult.

ytpete 1y ago
Right — and I'd conjecture until LLMs get close to the accuracy of an entry-level employee, they may not have enough economic value to be viable beyond the hype/novelty phase. Why? Because companies already chose a "minimum quality to be valuable" bar when they set the bar for their most junior entry level. They could get lower-quality work for cheaper by just carving out an even lower-bar hiring tier. If they haven't, maybe it's because work below that quality level is just not a net-positive contribution at all.