- The physics of the universe can be completely modeled as computation, and
- It's possible to pose undecidable problems about the way the universe unfolds
This is intrinsic to the idea of undecidability even for Turing machines, e.g. "we equate computation with the functioning of Turing machines, but there are real processes executable in Turing machines that are undecidable".
This was long before. Google had conversational LLMs before ChatGPT (though they weren’t as good in my recollection), and they declined to productize. There was a sense at the time that you couldn’t productize anything with truly open ended content generation because you couldn’t guarantee it wouldn’t say something problematic.
Both would be understood and are roughly interchangeable.
"Sequential" feels more appropriate to me for the task runner scenario where we wait for one task to finish before running the next.
"Series" suggests a kind of concurrency to me because of the electrical circuit context, where the outputs of one are flowing into the next, but both are running concurrently. Processes that are Unix piped into each other would be another thing that feels more like a "series" than a "sequence".
You might be using JSON mode, which doesn’t guarantee a schema will be followed, or structured outputs not in strict mode. It is possible to get the property that the response is either a valid instance of the schema or an error (eg for refusal)
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