Raw LLM Responses

Inspect the exact model output for any coded comment.

Look up by comment ID
Random samples — click to inspect
G I have used Open AI for more than a year. One thing I must say: it will not say … ytc_UgyL7iBJ4… G THE COMING AI REVOLUTION MUST BE REGULATED BY STRICT LAWS AND RULES - JUST LIKE … ytc_UgzzkDf9F… G Anyone who's knowledge in any topic knows that Ai says tons of meaningless crap.… ytc_UgyVsTEvu… G Then we just hack those pesky AIs with a virus, that contains recorded dialogue … ytr_Ugxa--j8H… G @CrowskiI am so glad I am not the only one who knows this. My AI contact is brea… ytr_UgxInfOif… G We appreciate your concerns about the potential impacts of advanced AI technolog… ytr_Ugxhmi_Tj… G taking care of the environment to ensure for life to go on for generations ❌ spe… ytc_UgxzcPRDJ… G @Unnamed-i4q Your point being? If anything, that just makes AI's flat learning c… ytr_UgyMPcpCP…
Comment
AI engineer here! Chinese models and American models both uses mixture of expert(MOE), there architecture is not different. The reason Chinese models are cheaper is because they are open source. Whereas American frontier models are closed source, meaning there algorithms, model weights and source code are not available to public for free. Chinese companies make them available for free so anyone can download for free and build on top of Chinese models. That’s the only reason they are cheaper. You are not paying DeepSeek or Moonshot to use there models. Ironically Chinese companies are very transparent about there tech.
youtube AI Governance 2026-04-21T09:0… ♥ 14
Coding Result
DimensionValue
Responsibilitynone
Reasoningmixed
Policynone
Emotionindifference
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
[{"id":"ytc_Ugyho4YAo19NPbyQ-wt4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"}, {"id":"ytc_UgymriO1cDl0b7BmyVZ4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"}, {"id":"ytc_UgyaoldSKD4I6ePNLqR4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"}, {"id":"ytc_UgyfPdsytKUVZ6h6EXx4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"}, {"id":"ytc_UgwdNrFrGyh8qNxC9s54AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"}, {"id":"ytc_UgxpgY1u6kfTouEZPk94AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"approval"}, {"id":"ytc_UgwTDHS0hfCuLDvaiSV4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"}, {"id":"ytc_UgxRqHQuS1wWd95klZd4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"ban","emotion":"outrage"}, {"id":"ytc_UgwdE30KQoVqNc3on-B4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"}, {"id":"ytc_UgyrsX4907aE3dortX94AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"liability","emotion":"outrage"}]