Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
Could you create to perhaps point me to a video on the same topic but focused on…
ytc_Ugwald57F…
G
I tried being nice to AI and AI was nice back. I hope AI doesn't find out I'm t…
ytc_UgwjdvpS5…
G
i hope a law passes where companies cannot buy these trucks unles they're willin…
ytc_UgzB_GFyi…
G
Yea....except my company is looking at usage of Cursor...top engineers are pumpi…
ytc_Ugzr02reW…
G
Back a year later, just as predicted, losing all their investments, losing all f…
ytc_UgwRPq-P3…
G
11:26 I get this. I think what ai image makers don’t understand is that this is …
ytc_UgzbflDPL…
G
Microsoft since Halo 5 have not made smart decisions.
_AI can only go as far a…
ytc_Ugylqhsdq…
G
Bro I think you are extra worried. I am Masters student doing research on AI, A…
ytr_UgwNdKu0B…
Comment
The phrase "agriculture sector is in need of IT" reveals how thoroughly we've internalized tech solutionism. Indian farmers have been managing complex polyculture systems, monsoon variability, and soil regeneration for millennia using accumulated ecological knowledge that no ML model can replicate. The real crisis isn't information deficit - it's systematic extraction. Debt-driven suicides among farmers aren't solved by precision agriculture apps; they're caused by input cost inflation, price manipulation by middlemen, and crop insurance fraud. AI forecasting hail damage is useless when insurance companies deny 90% of claims anyway. This "meaningful use" rhetoric treats symptoms while ignoring that Indian agriculture's problems are fundamentally political-economic, not technical. The IT sector needs agriculture more than agriculture needs IT - it's a new market for SaaS subscriptions dressed up as rural development.
youtube
2025-11-17T07:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | government |
| Reasoning | deontological |
| Policy | regulate |
| Emotion | outrage |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytr_UgxhJC_2Td2RnyDttnl4AaABAg.9z_LAvG5__UA3X81bH3UeN","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytr_UgyCN5vmZbFz0Nc6Zz54AaABAg.9zZTsVw8NQsA5GPvh9jq_n","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytr_Ugxk4Pw5HkvjFwwh3mt4AaABAg.9zYwiaA4TzG9zZ5Ci27GcV","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytr_UgwaBKiBvHpcwYxKC8l4AaABAg.9zYRP4W4YTBA8OLUTDd6ru","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwaBKiBvHpcwYxKC8l4AaABAg.9zYRP4W4YTBA8OLfWZioKR","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytr_UgzdNMJtDV-NfVn118B4AaABAg.9zYPxPoY6R1APc0ET3fzUQ","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytr_Ugx8veSORbaQ5jMI7xR4AaABAg.9zY-Nb69p9i9zYnIfV4GMz","responsibility":"government","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytr_UgxJ6yXDNEofSzV0Fu94AaABAg.9zXpHcsny379zaaGGuq1Ke","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"mixed"},
{"id":"ytr_UgxJ6yXDNEofSzV0Fu94AaABAg.9zXpHcsny379zcTy52GigF","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytr_UgwmCoohKc041u5muJp4AaABAg.9zWbJwGuP5b9zY1TZZhmMU","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"}
]