Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
A major reason why I believe that Psychologists, behaviourists etc are essential…
ytc_UgylhIXEf…
G
you should give credit to the artists which the AI you're using is trained on…
ytr_UgyefCBFp…
G
Same as me! I went with MS copilot first then chat Gpt then went back to Copilot…
ytr_UgwqO-BIm…
G
Not to mention the planned Wafer Chip Fabs too. These will be energy and water i…
ytc_Ugz8JdwHB…
G
And it's only going to get better from here. In 5 or 10 years, all warehouses wi…
ytc_Ugx_p83Df…
G
Why is everyone and their grandmother redoing the exact same questionnaire to Ch…
ytc_Ugx02-QGH…
G
Change the robot's voice from this sissy boi to manly, German accent then we fee…
ytc_UgxD2KYML…
G
there MUST be regulations as to what percentage any company can use AI AND…
ytc_UgwgMoAAX…
Comment
Great question! It’s a mix of resources and experience, but here are the best starting points for each:
System Design: Read "Designing Data-Intensive Applications" by Martin Kleppmann (it’s the bible for this) and check out the ByteByteGo newsletter/channel.
Product Thinking: Read "Don't Make Me Think" by Steve Krug.
Security: Study the "OWASP Top 10" list—it’s free and covers the most critical vulnerabilities.
Legacy Code: "Working Effectively with Legacy Code" by Michael Feathers is the go-to book. Or go to a large Open Source project on GitHub, find an open issue, and try to trace the code to understand the bug.
Performance: Read engineering blogs from companies like Netflix, Uber, and Discord to see how they solve real scaling issues.
It’s hard at first, but that’s how you learn the things AI can’t teach you!
youtube
AI Jobs
2025-11-23T19:2…
♥ 18
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytr_Ugx3UBh1Px04fo6VaqJ4AaABAg.APtAB9-VyNQAPts0GgBQoT","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytr_UgzIbnuMdt6nBCliBs54AaABAg.APsie7217_IAPsmplAeyiR","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytr_UgxEJIXNCC-qNjuxaC94AaABAg.APrdpw50jWaAPx4JLnur7m","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"resignation"},
{"id":"ytr_UgxN0Gcy_vm7VLTFtH94AaABAg.AMtVk3blbvzAMvgGGfZbqH","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgxN0Gcy_vm7VLTFtH94AaABAg.AMtVk3blbvzANKVn1OpSk1","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytr_Ugwt0Abe-66nck8-Qy94AaABAg.ANmoYTSH9POAODYXbMMJK3","responsibility":"none","reasoning":"mixed","policy":"unclear","emotion":"fear"},
{"id":"ytr_Ugwt0Abe-66nck8-Qy94AaABAg.ANmoYTSH9POAODZRMUkYHW","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytr_UgwN4JXE1QnI4j7PyQJ4AaABAg.AMvXSxYKqNlANOfyCuJxCh","responsibility":"company","reasoning":"virtue","policy":"liability","emotion":"outrage"},
{"id":"ytr_Ugwx1JKZQSI3vA1t6Zt4AaABAg.AMuiZDjdolJAMuojRyXcNd","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_UgylOM3Y16ciMR6G_6N4AaABAg.AMugSTclqn2AMuhEhhsldm","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}
]