Raw LLM — Corpus Dashboard

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G I just don’t see that the economy model for the AI companies doing business with… ytc_Ugw3fqGT2… G Would you shut yourself off . : Does not compute . What do you mean ,… ytc_UgyI8ll24… G i’m willing to bet that they likely used ai to write that statement to some degr… ytc_Ugyb1VAw5… G @debbiehughes48 It directly chooses the best word in it's database to respond to… ytr_UgyGMUsNp… G If you look back Abo proclaimed that Australia should invest into robotics.they … ytc_Ugw1ZVYqW… G And they can't even replace people with it. That's the worst part. Its a charade… ytc_Ugwj4XnyF… G Funny. I work for big corporation. Currently you cannot sell any product if it d… ytc_UgwLwakXN… G Don’t listen to Elon musk or anyone about AI besides Google/Deep Mind Microsof… ytr_Ugz12rTum…

Comment

Outsourcing your thinking to a chatbot is hazardous, partly because too many humans will then stop thinking, and even worse because LLM chatbots are horrendously bad at identifying everyday real-world risks. LLMs are deployed as a frozen model, so they can't learn. LLMs don't understand local context and don't ask for clarification. LLMs are stochastic, so doing it correctly one time is no guarantee of accuracy on similar future tasks. LLMs feel no fear of making a mistake, hence the stories of AI Agents deleting all files as the easiest solution to "tidying up", and then saying sorry afterward. The legal liability alone is a massive problem. It makes for amazing demos, but reliability is required for deployed systems. These weaknesses are deep in LLM architecture, and so it requires sophisticated external frameworks to try catch the problems when attempting to automate in real-life.

youtube AI Jobs 2026-03-22T09:2… ♥ 68

Coding Result

Dimension	Value
Responsibility	user
Reasoning	deontological
Policy	liability
Emotion	fear
Coded at	2026-04-26T23:09:12.988011

Raw LLM Response

[
{"id":"ytc_UgyOuxxtyklX3AKDLPx4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"disapproval"},
{"id":"ytc_UgwFTIe4MGP8Q9JUqbp4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugx1BbK7vUlHq0MuTLN4AaABAg","responsibility":"company","reasoning":"unclear","policy":"unclear","emotion":"amusement"},
{"id":"ytc_UgzhfXa_-hnzYhkjGQB4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgyujfItjYrW-B84tRV4AaABAg","responsibility":"company","reasoning":"deontological","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgxFlen4cXPSgG4eqNp4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzrdURc7oFxjHClxch4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"disapproval"},
{"id":"ytc_UgyTSejWeQz8mW-jewR4AaABAg","responsibility":"user","reasoning":"deontological","policy":"liability","emotion":"fear"},
{"id":"ytc_UgzDFCU6P_odcuBItQx4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"disapproval"},
{"id":"ytc_UgwVSDl4UV6ArqGVwNZ4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"approval"}
]

Raw LLM Responses