Raw LLM — Corpus Dashboard

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G New way to break AI. Redraw the generated images, emphasizing the flaws. Then se… ytc_Ugzz2q5Dp… G About your point on us trying to beat China in AGI, I agree with your overall ou… ytc_UgyaCg5XK… G “Google search didn’t need regulation because it just showed you information but… ytc_UgxwNNkqx… G People sharing pictures on streets is problem being this naive that you share yo… ytc_UgyCgt6dh… G If you ask me, yes, most if not all these things will happen. But what very few … ytc_Ugwf4dokU… G AI LLMs are just a tool, not a person. It's just a probability machine for langu… ytc_UgydCcYtE… G AI cannot truly represent Christianity in these discussions because the wisdom f… ytc_Ugw0SrHE-… G This is the real problem, not AI. But a CEO who cans 75% of the workforce is goi… rdc_jifh9gg

Comment

This debate is flawed in many ways because both sides miss the real, deeper question. The atheist treats God like a human-style moral judge who must match our idea that “less suffering = more goodness,” while the believer protects their position by simply defining God as “absolute good” or saying humans can’t understand God’s reasons, which avoids real questioning. Both sides secretly assume objective morality without properly explaining where it comes from, confuse allowing suffering with directly causing it, and mix emotional reactions with logical arguments. One side acts as if science is the only source of truth, while the other separates religion from facts whenever it becomes inconvenient. Most importantly, neither side seriously thinks about God as existence itself or consciousness itself, and they fail to clearly separate emotional, logical, and evidence-based arguments, turning the debate into a show of clever wording judged by AI rather than a real search for truth.

youtube 2026-01-14T17:5…

Coding Result

Dimension	Value
Responsibility	none
Reasoning	mixed
Policy	none
Emotion	indifference
Coded at	2026-04-27T06:24:53.388235

Raw LLM Response

[
{"id":"ytc_UgzkjyjI3A3fuJIAmOV4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugx8c2uTSN7BffZN8NB4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgwJUjtZFKIi3gBI_Lt4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugxl3qa6foe2m2C43Ad4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugyx4SZ5KIYpgq5NSSB4AaABAg","responsibility":"none","reasoning":"none","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzBusDdwsglo2vuzh14AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_Ugz5ggIS5eveUe1ZcB54AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwYpk05HEEbY4_ho4l4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwyM9LKVNkhOehZ0Ft4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwriZ37plwSnWLMMy14AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}
]

Raw LLM Responses