Raw LLM Responses
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G
Steve Wozniak has a spine, he is among the few in entrepreneurial community, who…
ytc_UgzINYJcA…
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What these AI are doing is to do 20%-80% of the work, for any real app, an orga…
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@BeastJuanGaming Yes and he's not the only one using that analogy; 'scouts' (as …
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G
But how can economy function without consumers ? If there is basicly no consumer…
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We need you to be company princess. No AI wanted to be company princess. We need…
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One day, when self-driving semis rule the highways and the last CB radio goes si…
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The moment I saw it I was like
“Nah that’s ai”
Then I proceeded to laugh at all …
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The main problem about AI is about who is using it: at the moment, in conflicts,…
ytc_UgzRsnQUE…
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"}
]