There are tasks that are necessary but tedious. These are tasks that either consume the time of experienced professionals, or are offloaded to inexperienced professionals when payroll allows.
Tedious tasks are perfect candidates for automation, especially when the result is much easier to verify than to find. This frees the experienced professional to do interesting work.
‘automation’ and ‘AI’ are currently very different things. There are certainly applications where machine learning is very effective, sometimes even better than senior professionals, but LLMs are mostly bullshit machines.
There are tasks that are necessary but tedious. These are tasks that either consume the time of experienced professionals, or are offloaded to inexperienced professionals when payroll allows.
Tedious tasks are perfect candidates for automation, especially when the result is much easier to verify than to find. This frees the experienced professional to do interesting work.
Tedious tasks are also great for assigning to juniors to help them learn.
I’ll often use tedious tasks as a testing ground for new technologies as well. Tedium leads to innovation.
Exactly. Fewer juniors means fewer seniors in the future.
‘automation’ and ‘AI’ are currently very different things. There are certainly applications where machine learning is very effective, sometimes even better than senior professionals, but LLMs are mostly bullshit machines.
They generate a lot less bullshit when deliberately trained on a specific dataset, and they’re only getting better with time.