Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
We appreciate your concern. The interaction in the video serves to showcase the …
ytr_UgyNgRyko…
G
I know there's a bias against AI here but the results sound good to me? You didn…
ytc_UgwnRibmc…
G
Even if Dave were 💯 right - the Earth is flat and ChatGPT is programmed to defen…
ytc_UgxDSIhHT…
G
Humans will destroy humanity. If AI results in that then all the better. After w…
ytc_Ugz7EnhDn…
G
Nonetheless maintaining ai is way too expensive using such a large amount of res…
ytc_UgwVRz05g…
G
So that's how we will be killed by ChatGPT mother of AI
In year: 2089…
ytc_UgzC_YhHk…
G
Yeah, I see a lot of people always talking shit on any other AI. People should w…
rdc_jpmtcjq
G
Nah, I myself dived in AI image generation, it was cool for me to create new mod…
ytc_UgyPHi8To…
Comment
There is a huge flaw in the logic of this video though. It's comparing the possible coming AI spike with trends that took decades to be where they are today (existing automation and outsourcing), and looking at trends in investments making people more money over the past decade, and assuming that it will be a similar situation with AI automating everything.
30%-40% of the existing job market could potentially disappear within the next 18 months, literally nothing we have in place would mitigate that impact, and in the current geopolitical climate it's very unlikely that we will get there either here in the US or elsewhere. If money itself becomes worthless, which is likely in that scenario, then no amount of investing will help.
Now, this might not happen. We could hit a roadblock in AI development from resources (chip shortages or energy production limitations, for example) or coding itself (LLMs winding up being an actual dead end), but barring that we are in for an unprecedented paradigm shift that none of these predictions will be able to map.
youtube
AI Harm Incident
2024-07-29T00:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | consequentialist |
| Policy | unclear |
| Emotion | unclear |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_Ugxm7ENojjvkF12DvLB4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgyZMhLpDCn4D5jSUZt4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgxHPTbCD7wyErFM7JN4AaABAg","responsibility":"unclear","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgwUKSeAiYp0lRJ5jqh4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgxKlPjNG7aKu82glWN4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgzDtVKFLRUw7SZ4DbR4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_Ugx2rbKNDHKC-hUyz_t4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugy7_X9JdCJW5fuRos94AaABAg","responsibility":"unclear","reasoning":"consequentialist","policy":"unclear","emotion":"unclear"},
{"id":"ytc_UgytNdnkuR-ZnmMgq9Z4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgxU9dPXuKcGOp-LgB14AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"mixed"}
]