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If anything it’s more important. Without it you cannot separate its confabulation from its useful output. Knowing when to use what tool, how to do it properly
by SanderNL 3y ago
If anything it’s more important. Without it you cannot separate its confabulation from its useful output.
Knowing when to use what tool, how to do it properly and to what extent takes expertise as well.
Carpenters and craftsmen in general are infinitely more productive with woodworking and related tools than I will ever be. My destiny is assembling IKEA cupboards. The same principle will apply with AI tools. Sure you can whip up something, but a specialist will do it infinitely better in 1/100th of the time with the same tools.
Guess who will be employed to make use of said tools?
- candiddevmike 3y agoProbably not the best comparison, as a carpenter or craftsmen can't tell a LLM something to build X out of wood and have it come out mostly OK (yet?). Anyone can tell ChatGPT to write some code to do X, not just expert programmers. It may not be perfect, but it's only going to get better, no?
- SanderNL 3y agoThis metaphor is not about the tools so much as it is about the nature of expertise and its effect on the results of said tools. Someone with expertise will use any tools, including GPT, in ways a novice can’t even understand. Same tools, different outputs. Not the tools, because basically anyone has access, but the one using it will determine the outcome. In a capitalist society you will have to compete otherwise known as staying employed. Someone with expertise can hook up AIs in ways and with a velocity that will leave amateurs in the dust. The amateurs will still be fiddling around with “prompts” and Googling or ChatGPT’ing what “latent” means while the expert has working systems ready to go. I don’t see this chasm getting smaller. These tools magnify your inherent (in)competency. Try to compete with a professional artist competent with Stable Diffusion if you want a taste of that.