Raw LLM Responses
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G
Btw gratifying the ai model is an important step for it's learning. Without feed…
ytc_UgzHGOR_K…
G
Sorry, the correct answer is Option C) To program an intelligent machine. The go…
ytr_UgySOeuc2…
G
"Ai would probably need humans to run power stations, for a little while" OK tim…
ytc_UgxplofvV…
G
never should an artist think “what’s the point of making art when we have AI?” i…
ytc_Ugyw7rC2v…
G
Thank you for being open minded. As an artist myself, i dont hate the idea of AI…
ytr_UgxLzIRCM…
G
We’re at a point where we already have developed deepfake-detecting algorithms. …
rdc_izm44ou
G
Some ALIENS ARE BEHIND ALL THESE AI'S IS THEIR TECHNOLOGIES N BUSINESS ON PLANET…
ytc_Ugz5yBT8f…
G
I'm eyerolling so hard right now. It's nothing to do with that. It's just trying…
ytr_UgyRj1exs…
Comment
@honkhonk8009 quite easy actually. Just use the AI to create plan for a good, maintainable and adoptable codebase to begin with. Not in so few words of course, but extremely easy. Currently running a project with Railway, Vercel, CloudFlare R2, Expo EAS for the infrastructure, Clerk for auth, Mapbox for map integration. Tech stack is:
Language: Typescript for the mobile app, web app and API
Framework: React Native + Expo SDK for mobile, Fastify + Node.js for the API and Next.js for the web
Auth: Clerk Expo SDK for mobile, Clerk JWT verify for the API and clerk Nextjs for the web.
Router: Expo router for mobile and App router for web
Data: Tenstack Query for mobile and web, PostgreSQL + PostGIS for the API
i18n: i18next for mobile and web
UI: React native core for mobile and Tailwind + Recharts for web
Build: EAS build for mobile, Railway (Docker) for API and Vercel for web
Everything is fully secure of course, no exposed API keys, environment variables etc. and hardened.
youtube
2026-03-16T08:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytr_UgwEZNUOglIeYmJN9b14AaABAg.AQSzn5_rbLdAUPYMlychza","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgwEZNUOglIeYmJN9b14AaABAg.AQSzn5_rbLdAVQRc66dt9k","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"},
{"id":"ytr_UgwwtY-BZzlT2w8XEEZ4AaABAg.AQ1Iw3hWJV9AQukqhbzbEh","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_UgwBO8e5hhWkeC5_HVp4AaABAg.APhPlp4QrsLAPzVi5z2LG-","responsibility":"user","reasoning":"unclear","policy":"none","emotion":"fear"},
{"id":"ytr_UgzZMWa0EdJwiRvT7op4AaABAg.APRqOdKz1H1APqAFo4_zXE","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_UgxMqQZnP27AMfZ1KSF4AaABAg.APD4Y0YUnktAPhbWtEOIk1","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_UgxNPBN8_hUM28_JLZp4AaABAg.AOuxZMgazaoAQi5lXOsgny","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"fear"},
{"id":"ytr_UgxNPBN8_hUM28_JLZp4AaABAg.AOuxZMgazaoASxqOw-pWfz","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"approval"},
{"id":"ytr_UgyUzYrBrQNQG8Rf1Op4AaABAg.AOuqiln1LEgAPqA6EsvLvX","responsibility":"distributed","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytr_Ugz-64jb_KaohpNUOB14AaABAg.AOLKNZYQBYjAQELvs32855","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"indifference"}
]