I'm a retired engineering manager so judge me appropriately :-) I've had 1000 good chats with ChatGPT on a wide range of topics. I build personal Excel and Access applications but not any real programming. I don't need workflow automation although I will dabble with Codex. I'm curious why I should abandon what works for Claude.
You shouldn't. No need to rush to buy a TI-84 to do simple arithmetic. I don't use either because I can learn just find from docs and textbooks. And I don't have that many problems to solve with computing.
Hmm. I have a hand-crafted personal finance dashboard that I continue to tweak. After reading the post, I copied an output table into ChatGPT, asked it a couple of questions and have more ideas to consider than I had in the entire life of my dashboard.
This has interesting speculation on the future business impact of AI, extrapolated from Excel:
"This will be genuinely extraordinary for what organizations, particularly the best organizations, can achieve. But if each previous ideology of the corporation illuminated something real about its character and potential, each also, in the fullness of time, deformed it. The financial ideology was blind to what could not be quantified; and the AI ideology, I suspect, will be blind to what cannot be made legible as a workflow."
Hence the title and its hearkening back to seeing like a state - I would guess one of the author's related views is that a rigid, high-modern codification scheme will always miss the magic stuff that fills in the cracks. And you can't go without that without eventual unforeseeable consequences. It's a techne versus metis distinction I think
I was an development tools engineering manager who was in enumerable "bug scrubs" to triage the flow.
Sometimes I would advocate based on business reasons to fix the bug. Or to de-prioritize it or close it. I took every side possible, depending. As did the more pragmatic of the engineers.
I miss the give and take, if not the feeling of perpetual technical debt.
For that matter, I don't know the bandwidth and compute cycle tradeoffs between traditional search and AI.
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