"Write a function that takes a string parameter (Todo) and saves it into a text file with the name <current date time (as a Unix epoch)>.txt, and if already present, append to it to the file instead"
The probability distribution for the potential output is different, and it's more limited in the second case perhaps.
Besides, even the "deterministic" systems the author is referring to, are not fully deterministic. They are "deterministic" if we ignore a certain threshold of randomness that could afflict the system. Yes perhaps this threshold is higher when using LLMs, but even when using LLMs, not all inputs share the same level of indeterministic output
"Give me a Todo app"
Is also different from
"Write a function that takes a string parameter (Todo) and saves it into a text file with the name <current date time (as a Unix epoch)>.txt, and if already present, append to it to the file instead"
The probability distribution for the potential output is different, and it's more limited in the second case perhaps.
Besides, even the "deterministic" systems the author is referring to, are not fully deterministic. They are "deterministic" if we ignore a certain threshold of randomness that could afflict the system. Yes perhaps this threshold is higher when using LLMs, but even when using LLMs, not all inputs share the same level of indeterministic output