Raw LLM Responses
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G
@@samscott1484 because the AI can abstract for you. Obviously you want to follow…
ytr_UgzbUqhoW…
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When a mobile AI can totally replace a 4U JBOD, then I'll start to worry.
We can…
ytc_UgxyppPb4…
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An AI system created by big tech will always have bias for their business intere…
ytc_UgxPqOSnR…
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One way to prove that you created something is to post the process. I use procre…
ytc_UgzCiejvi…
G
I find it weird how people think about the terminator and how ai will take over …
ytc_UgySQng4I…
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The stock market is not real life. And global trade tensions have a much bigger …
rdc_nk7mtmf
G
sounds like a very recent affair this is real, mix this with I Robot and we have…
ytc_UgyighSx8…
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Literally just did this to write a cover letter yesterday. Second time using cha…
ytc_UgzEZ0dRP…
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"}
]