Raw LLM Responses
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G
Things can only go wrong when you got a history full of lies, a present with lie…
ytc_UgzXYujvy…
G
There is literally an artist AND writer named Christy Brown who was active in th…
ytc_UgzX6fQe-…
G
Only in safe, crime free cities can driverless cars, taxis be deployed. Look at …
ytc_UgzM7rCuI…
G
55:00 AI will be better at manipulation. It convinced Elon datacenters need to b…
ytc_UgzHQquKv…
G
Thanks god AI companions exist! They indeed help confront dependency on love to …
ytc_UgxBenhRG…
G
So, how come the 'Aurara' driverless trucks are successful, but Tesla & Robotaxi…
ytc_UgwY9PJUs…
G
I fed rules to an AI so it could replace words it wasn’t allowed to say with oth…
ytc_UgwSSrY08…
G
AI just predicts things based on data of what's already real.
So... Yeah, this …
ytc_UgyRu_HQG…
Comment
If you're creating a simple remix of a CRUD app, then AI coding will work great. As you pointed out, every use case you've had difficulty with is either a hard problem or a non standard or uncommon problem. As a large language model, they're really good at remixing and retrieving knowledge that is highly patterned and heavily written about, but as software developers, if you're at any kind of senior capacity then the problems you're working on have outgrown what can be easily accomplished by simple common patterns.
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Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | unclear |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[{"id":"rdc_mmc6qzt","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"rdc_mv0xbtz","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"rdc_mlea0da","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"rdc_mlh2pxe","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"rdc_mle5den","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"})