Raw LLM Responses
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G
It's useful for crime and corporate greed and that's exactly what it was created…
ytr_UgwEizKXf…
G
In my opinion, truck drivers won’t just stand by without reacting — they have th…
ytc_UgyCijcVZ…
G
Imagine a future where AI becomes so advanced that it unravels all the mysteries…
ytc_UgymWwnxy…
G
Tesla haters: you are watching a video with 2021 examples of failures. The curre…
ytc_UgwZd7SDy…
G
AI voice is back !!!!!!!!!!!!!!111111oneoneoneone :)
Glad you're better, keep th…
ytc_UgzNVWMd2…
G
We can't let Ai do everything.we just can't sit there and monitor the AI only.we…
ytc_UgzKGYAEj…
G
most painful convo I ever listened to. I can't listen anymore. this guy can't pu…
ytc_UgwoVenos…
G
You're very welcome! I'm glad you found the TED talk valuable and that it resona…
ytc_UgylbiJiP…
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"}
]