Raw LLM Responses

Inspect the exact model output for any coded comment.

Look up by comment ID
Random samples — click to inspect
G Alternative video: A.I. predicts a black guy is gonna be involved in a shooting,… ytc_Ugzhp0tYz… G I'm all good for using ai for inspiration or even a sort of base, as long as the… ytr_Ugxt7JyMC… G Vice you need to stop calling them "Deep fake." The term was invented by Pizzag… ytr_UgymCI9bu… G 8:10 This is why people with brains in their heads and/or aren't delusional abou… ytc_Ugx9f01lB… G Just stop with social media. There, the solution is clear. Go outside, touch gra… ytc_UgxE5gKN3… G Even if we ever get them working perfectky, what problem exactly are driverless … ytc_UgxqIecjS… G Is this the guy who’s always partying on mega yachts with supermodels even thoug… rdc_espsw3n G These CGI videos can also be used by AI to train its humanoid bots. We are givin… ytc_Ugxz2WDb1…
Comment
I don't think this is at all correct. They may not have symbolic understanding, but they do semantic. Where do you think the probabilities come from? The whole reason that they're able to parse natural language and form coherent sentences is because they **do** have a mapping of semantic relationships, that's the whole point of what happens during training of a model: it is building that vector map. Mapping of semantic relationships is exactly how they **do** work. So much so, that the way AI can retrieve information from a database, that separates it from traditional search methods, is literally called 'semantic search'. Even going back long before LLMs, the big breakthru that happened in neural network based machine learning was making a model that learned the 'concept' of a cat, meaning it was able to generalize outside of its training data and recognize *any* image of a cat, rather than only the specific cat images in its training data. So, yes, they have both the ability to conceptualize AND a mapping of relationships between those concepts.
youtube AI Moral Status 2026-04-18T19:1… ♥ 3
Coding Result
DimensionValue
Responsibilitynone
Reasoningunclear
Policyunclear
Emotionindifference
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
[ {"id":"ytr_UgyFzCBkbx55g4jSHQx4AaABAg.AVjDlzKdNYQAVkh9F9B59i","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"}, {"id":"ytr_UgyFzCBkbx55g4jSHQx4AaABAg.AVjDlzKdNYQAVkhzNwxDhS","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"outrage"}, {"id":"ytr_UgyFzCBkbx55g4jSHQx4AaABAg.AVjDlzKdNYQAVkrOHqqpjE","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"}, {"id":"ytr_UgyFzCBkbx55g4jSHQx4AaABAg.AVjDlzKdNYQAVl5xNQ_k_N","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"}, {"id":"ytr_UgwQQDqZqpRcG3Bp1FF4AaABAg.AVj4fG0laDAAVjPNj3TFEp","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"}, {"id":"ytr_UgwQQDqZqpRcG3Bp1FF4AaABAg.AVj4fG0laDAAVjYTyU7B_i","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"approval"}, {"id":"ytr_UgzGc2rCtQpc8tbxbxR4AaABAg.AVixbOJHVEaAVjGmi_cab5","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"outrage"}, {"id":"ytr_UgzGc2rCtQpc8tbxbxR4AaABAg.AVixbOJHVEaAVjPjypvfRn","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"}, {"id":"ytr_Ugzehwm8EI65FO1cm-d4AaABAg.AVitq7cABHLAVjzVzN7XIh","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"outrage"}, {"id":"ytr_UgyljG8n0jMgFpdwZH54AaABAg.AVisRVRuhf9AVjr_A6Jk5g","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"resignation"} ]