Raw LLM Responses
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G
I was expecting more of an excited scifi geek but actually this guy comes off as…
ytc_Ugyp-N8gM…
G
Why did ChatGPT always says it a mystery? It sound like what the priest, Pastor,…
ytc_UgxxHHvF-…
G
I think that's kind of the problem. Most of them didn't care about art until it …
ytr_UgzPCWmln…
G
You are too naive and luddite to even remotely understand what is happening.
Ev…
ytc_Ugz-bfh2y…
G
Riiiight. now let that Robot talk after its disconnected from Google's service a…
ytc_Ugw_0W3SJ…
G
The funny thing is, it can't... Having to constantly double back in order to cor…
ytr_UgyDEgaC6…
G
@SHi-l5zhow did you know we are enslaved, American media?😂.
you also know ensla…
ytr_Ugylzk5U-…
G
The ai aritst woudlng be competing it would be the Ai or the ai developers at th…
ytr_UgyrZE75o…
Comment
Real problems look like this:
take this APL program which is executed via a process shell from a Windows forms application that queries data from SQL server and converts results into flat files used by the APL program to do a calculation for which there is no documentation anymore. Analyze the program and extract the underlying algorithm into plain english so we can understand how it works and decide if it needs to be modified to meet current needs or not. Then, convert the APL program into a more modern language. Also, replace the flat file command line interface with an API and a storage system that will allow us to use a more performant database. Convert the Windows forms application to a web UI.
While we are at it, let's store the source code in a gitlab repo and implement a CI/CD pipeline that builds all this and re-deploys it, complete with unit and integration tests.
It will take AI a little while to do all that without a LOT of help from human engineers. In fact, just breaking down the system into pieces that can be analyzed by an AI would be a challenge for current generative AI models to solve.
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Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[{"id":"ytc_UgwHj7RP7HmXuRnMT_B4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgybvUDkznorAncHlzt4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_Ugz0aszq3FSH98pgG7p4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"resignation"},
{"id":"ytc_UgyVDpkD5FY5daIcuON4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyA3kT8GwdZjNxJfxN4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_Ugwns3qpydMV12r4Cj54AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgzN3YuNW_k4YQ8OlZN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgzXCjE0wiMqblFgtJl4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgznOhSlFDv4R2VSP0R4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgyYtIWyTQdRHgKFbc94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"outrage"}]