Raw LLM Responses
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When A.I. gained access to all human data, government files, and secret files, i…
ytc_Ugz_RoWeS…
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I worked in a toxic environment with very short deadlines that forced us all to …
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I lost my job a long long time ago 🚀 Now I run my own business and events co. An…
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i just want my own HK-47 droid. also A.I. is a very broad statement because ther…
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What an incredibly satisfying video! I love how Kurzgesagt stays true to the mot…
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I think it's important to remember that humans cannot sustain life on earth. Soc…
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I don't like the potential of confusion arising from the word "conciousness".
W…
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I always talk to ChatGPT like a very diligent assistant who doesnt check his ans…
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Comment
I'm an engineer. The way I see it, any use cases of LLMs in production is just complex translators between unstructured data and structured data. (Which is also Probabilistic)
Agentic AI? Human query (Unstructured data)->Parameters(Structured data)->Code calls-> Code result-> AI response (Unstructured data).
RAG? It's the same.
Any other use case is just combination of these. Now, The problem of Unstructured data/Structured data conversions has been a big one for the computer science world and now that we have this translator, We can do many fancy things. However, There is nothing that is going to be replaced by this fancy translator especially in industries where reliability is important and mistakes are catestrophic. Definitely not as projected by these "CEO"s/ "AI experts".
youtube
AI Jobs
2026-02-26T07:5…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | mixed |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_Ugw64E5T6ozVpi7J8YR4AaABAg","responsibility":"none","reasoning":"mixed","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugwt7XdP1CAkDUiHQld4AaABAg","responsibility":"none","reasoning":"mixed","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugx-CmmFfYk_s_x4U3Z4AaABAg","responsibility":"company","reasoning":"virtue","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgzYZiO2ms1omdYdSUN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugzv5PK9Jwz-XZ60wAx4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"unclear","emotion":"approval"},
{"id":"ytc_UgyHqCNT1TtQZR17yn94AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugx9NVHmMBi48JPr9Xx4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgwnHLyMh48vkLjdQ9Z4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgyP3LTupCFGiXEuLl14AaABAg","responsibility":"none","reasoning":"mixed","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgzKF2hpjjFcxka56pF4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"liability","emotion":"fear"}
]