Raw LLM Responses
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G
@29:36-.-In the nearly 30 minutes I have seen that this video, you have not yet …
ytc_UgyGBcMFk…
G
And when no one is actually working and making money, what will we need driverle…
ytc_UgyPBMJZZ…
G
Tw: a lot of anger twards ai art sympathizer
Tell that commenter that he is a w…
ytc_UgxO10XI_…
G
Well what do you expect when a burger flipper demands $30/hr, the UNION scam rol…
ytc_Ugw0V_Wg6…
G
Great topic, now you see why China leads the world in AI. The USA must continue …
ytc_UgyY5qn3w…
G
Well.. currently it's a blackbox but there's another AI called "explainable AI" …
ytr_UgyLgaXpY…
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I wasn’t born with ‘blue blood’ my drawings were mediocre as a kid and I grew an…
ytc_UgwZzaWFA…
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Decades to come to think like humans, really? 1) Why would they want to think li…
ytc_UgyK8d5gS…
Comment
The undervalued part of LLMs and other approaches is them not just absorbing all inputs 1:1, but compressing it first on multiple levels, causing it - on large enough datasets - to get the quintessence of the inputs, rather than the exact sequence of words or code. This allows them to come up with actual original outputs and improve on whatever crappy inputs they had.
This is always left out, even though it's not a technical detail but responsible for them outputting not complete garbage.
Tho, yeah, no tech is perfect instantly (or ever).
youtube
AI Jobs
2024-07-09T16:4…
♥ 2
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[{"id":"ytc_UgwYILdsRdYTj17-hvt4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgwlyFXCOI0cfTN1pbF4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugz4csTynDP-DVOlyOd4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgxZEtydjwMGfnPMU_h4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzeIwVJ8cYyiUltrOp4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx7dFnhh5ac9_26GqF4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgwbmbUslUrtKa5heQZ4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzOLH6_nUeORICJJop4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyY26nVX7VBhp4wx7B4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwMLvjihfg3KYb1LAZ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"}]