Raw LLM Responses
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G
Yes they will use AI to save money and continue underpaying the humans or simply…
ytc_Ugx2oDY4u…
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I am from Edinburgh, Scotland. We dont have driverless cars sadly. The infrastru…
ytc_UgxFSOnAU…
G
Machine Learning is a billion years from sentience. And humans will not be allow…
ytc_Ugz2RwY5j…
G
I’m a lifelong professional illustrator… my only restriction when working in ind…
ytc_UgyaPxQ9L…
G
but isn't a law that "prevents regulation of AI" itself a law that regulates AI,…
ytc_UgwIa2iQe…
G
Been using Waymo since they first launched in San Francisco, but I gotta say, ev…
ytc_UgxWPWcef…
G
Translation: we should prepare the kids for Armageddon, you see when AI makes hu…
ytc_Ugysp6HVp…
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Theoretically at a certain point AI will not need external input at a certain po…
ytc_UgyxSQXr7…
Comment
I think there’s also tons of llm usage by leadership
In tech orgs - writing emails from bullet points, getting bullet points from emails, writing performance reviews etc - but not a peep about how it will allow tech companies to flatten hierarchies and reduce the need for upper management. Thats a clear sign that this is really just a squeeze on labor costs and to try to justify rewarding leadership even more. I think we will see lots of interesting tooling come from this - better code generators/seed repositories, and maybe things like a smarter renovate, and contract definition becoming even more important than ever etc, but you can’t brute force elegant design, which is often what creates the step functions in performance we are after.
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Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | deontological |
| Policy | regulate |
| Emotion | outrage |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[{"id":"rdc_n7u47ul","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"rdc_n7u2g5m","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"rdc_n7u6q8o","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"rdc_n7scvyy","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"rdc_n811k2h","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"resignation"}]