I contend it is not an *implementation* in a meaningful sense of the word. It is more a prose elaboration / expansion of the first generated bullet point list (an inaccurate one: “plan” mentions chopping vegetables, putting them in a fridge and cooking meat; prose version tells of chopping a set of vegetables, skips the fridge and then cooks beef, and then tells an irrelevant story where you go to sleep early and find it is a Sunday and no school).
Mind, substituting abstract category words with sensible more specific ones (vegetables → carrots, onions and potatoes) is an impressive NLP task for an architecture where the behavior is not hard-coded in (because that’s how some previous natural language generators worked), and even more impressive that it can produce the said expansion with a NLP input prompt, but hardly a useful implementation of a plan.
An improved experiment of “implementing plans” that could be within capabilities of GPT-3 or similar system: get GPT-3 to first output a plan of doing $a_thing and then the correct keystroke sequence input for UnReal World, DwarfFortress or Sims or some other similar simulated environment to produce it.
I contend it is not an *implementation* in a meaningful sense of the word. It is more a prose elaboration / expansion of the first generated bullet point list (an inaccurate one: “plan” mentions chopping vegetables, putting them in a fridge and cooking meat; prose version tells of chopping a set of vegetables, skips the fridge and then cooks beef, and then tells an irrelevant story where you go to sleep early and find it is a Sunday and no school).
Mind, substituting abstract category words with sensible more specific ones (vegetables → carrots, onions and potatoes) is an impressive NLP task for an architecture where the behavior is not hard-coded in (because that’s how some previous natural language generators worked), and even more impressive that it can produce the said expansion with a NLP input prompt, but hardly a useful implementation of a plan.
An improved experiment of “implementing plans” that could be within capabilities of GPT-3 or similar system: get GPT-3 to first output a plan of doing $a_thing and then the correct keystroke sequence input for UnReal World, DwarfFortress or Sims or some other similar simulated environment to produce it.