Raw LLM Responses
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G
That ChatGPT is chatting like a real individual. It doesn't chat like that norma…
ytc_UgxXqo6Lr…
G
If AI succeeds and it takes everyone’s jobs the economy will collapse because no…
ytc_UgwLw6Ews…
G
To some areas, you are correct. But I don't think it's a stretch that most fie…
ytr_UgwvPRu_v…
G
Wait, did they say they had ai in their bio prior to the post or after? I think …
ytc_UgyZyebP7…
G
This is DANGEROUS. GROK was Behing every A.I. Company,NOW they are ahead. Many B…
ytc_UgykDfOxk…
G
AI users are dangerous human beings. I would go as far as calling them willing t…
ytc_UgzyvAWN-…
G
This may be fake but I still couldn't stop watching it. It makes you just want t…
ytc_Ugw2gTtSd…
G
The easiest targets are always trans people and black women. Also in thesw AI vi…
ytc_UgzeyTrQ6…
Comment
I've had some better result by splitting a project in phases. Just like any other project, you need to plan your code for your requirements and make some design choices. LLM's can be pretty good at that, if you have your requirements clear, you need to be very specific when writing your prompts. Make it 'think' about design patterns and logical code separation so the codebase is split in logical chunks (think DDD and/or old fashioned UML). Then, when you have your architecture clear, you can start implementing function by function. And that's where the LLM can really speed up things, because you give it clear constraints and tasks. Just like splitting tasks between programmers in a team, you need to give the LLM very clear instructions.
youtube
AI Jobs
2026-01-20T10:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgyD26D8k5eEuTOyKTB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzJfJcejIBD27TOe1d4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgzQNjSA0qEtpTid1Lx4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_UgylIqWuK_5kLDHxZ8B4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzxKCP22-KfVIL-8Nx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgxOt3h2QwsNc786jeB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugw9Uhz1GmldAMPdkAB4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxRXznZpPNTy7M2BdR4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx0R57_oAVr4HkBrz94AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxEQiQSA81n5a_BREx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}
]