Raw LLM Responses

Inspect the exact model output for any coded comment.

Look up by comment ID
Random samples — click to inspect
G We have to first get so much of AI that one day we will appreciate nature human … ytc_UgxEkrSnO… G I will never be uplifted or repaired by some AI god. There are two reasons: it's… ytc_Ugw_MS29L… G I think you meant to ask ChatGPT instead that when it says that it’s NOT conscio… ytc_UgyVZcDsI… G I’m so glad you touched this topic! Without knowing, I have always talked to my … ytc_UgwIbGttu… G whenever you see AI "art", think about those cave paintings of handprints made b… ytc_UgxOj_XGV… G There's a perception that we will always be the most important part of any equat… ytc_Ugywj8af_… G That might be because India has said time and time again, it has no interest in … rdc_luc2v3l G Preventing the creation of superintelligence will have costs, and _we must pay t… ytc_UgwJ_Utk8…
Comment
You just explained the past 3 years of development on a nutshell. But key points about the ReACT loop, first you don’t know if each step does exactly what you want, a general purpose model although good simply cannot accurately get all the answers. Therefore, you still want to “steer” these agents into directions appropriate for your domain, company, etc. Second, these agents don’t come up with ideas like humans do, as in you always need some input to start an agent on a specific task. Even with autonomous agents, you provide them with goals, tasks, etc. That high level thinking which bridges the gap between narrow intelligence and general intelligence is where the work lies for engineers, plus new horizons humans will identify. All the above is my argument against white collar jobs dissapearing, which will exist still but be vastly different in the next years. No silver bullet, accidental complexity is almost solved, but intrinsic complexity is not
youtube AI Jobs 2026-02-24T16:2…
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionmixed
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
[ {"id":"ytc_Ugx68crjXpo81RqRHF54AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"}, {"id":"ytc_UgxtBiEltReojhP242t4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"}, {"id":"ytc_UgxVExn2vZCA7wNaqkJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"}, {"id":"ytc_UgxZFBktUP8UEM4FWEl4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"fear"}, {"id":"ytc_Ugxg33iqjc6BJlMJ1qN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"}, {"id":"ytc_UgxM2EU7auiS2O3YkTB4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"mixed"}, {"id":"ytc_UgxPA1NeMKFDHqi_fr94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"}, {"id":"ytc_UgwzwQPWwhQGPHV4ahp4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"fear"}, {"id":"ytc_UgzAHKwak0rAA9QKIFt4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"}, {"id":"ytc_Ugx6tthzD7LWUnnSaVR4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"} ]