Raw LLM Responses

Inspect the exact model output for any coded comment.

Comment
Oh, We don't know ! Newton Euler Lagrange Legendre Gauss Cauchy algorithm 25% 1847 Hadamard Independent rediscovery, descent direction 5% 1907 Curry First convergence proof for non-linear problems 5% 1944 Robbins-Monro Stochastic approximation foundation 5% 1951 Rumelhart, Hinton, Williams Backpropagation + momentum 5% 1986 did i ! Original formulation by Augustin-Louis Cauchy: θ_{t+1} = θ_t - γ · ∇J(θ_t) Where: - θ_t: Parameters at time t - γ: Fixed learning rate (step size) - ∇J(θ_t): Gradient of cost function
youtube AI Moral Status 2026-03-01T05:3…
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policynone
Emotionindifference
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
[ {"id":"ytc_Ugz94zDfwK8ufCkhopd4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}, {"id":"ytc_Ugy9G7qsLamnJB4_6U94AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytc_UgzOgLAKvzzCby92o554AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"mixed"}, {"id":"ytc_UgzSY_-MwltajS1IqJl4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytc_UgzDTpLKIG5w7dIIh3V4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"ytc_UgyW7rWzFsYsHYz4hiZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}, {"id":"ytc_Ugy_alcdqf4GF6eF-kB4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"}, {"id":"ytc_UgxgJYnLfCWWI0r243B4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"}, {"id":"ytc_UgyYmmMLneGWU__NB3N4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"}, {"id":"ytc_Ugy349RHtHaYdrgXjm54AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"} ]