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slashdave: > the information an AI system needs to produce accurate ... outputsI would have stuck a qualifier in there

r4ge: I feel like AI is going to be doing all the fun stuff and I will just left organizing the data and docs it needs to generate code.

tmpz22: Putting engineering after a term doesnt make it engineering.

slashdave: Probably just using the convention started by the term "prompt engineering", which is forgivable.

ayuhito: Welcome to becoming a project manager.

sroussey: not sure i forgive "prompt engineering"

mdswanson: https://x.com/anyware/status/2022116613559091241?s=20

rao-v: I don’t really think this reflects the current era of challenges?The “enforcement layer” is the hardest and most important part, and is barely addressed.- is the answer structurally / syntactically valid?- is it appropriately grounded and evidenced?- is it accurate? In what ways does it fall short?Each of these should be triggering an agent to rework and resubmit etc. or failing that a disclosure to the user about how the answer falls short and should be reviewed / remediated.This feels like it’s from the era of trying to oneshot a good enough answer.

jryio: Software engineering is certainly not engineering. Even at the highest levels. Real engineering have infinitely more complex interactions in the physical world than symbolic institutions for machines.