Raw LLM Responses
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G
That’s cause these idiots keep letting their ai have access to the internet, im …
ytc_Ugzug1bgq…
G
Wages are not good ,, Aussie drivers return home and say so,
AND its not long h…
ytc_Ugy-UN8YT…
G
I want you to know that youtube fed me ads for AI tools on this video. Right whe…
ytc_UgyeWDSLQ…
G
This is a preview to future reality. It’s not a matter of if, but when AI sees t…
ytc_UgzMy-eFC…
G
I think a lot of things in this video are great. Except, for the AI learning.…
ytc_UgwbV7Aeq…
G
I was quite excited about AI art when it came out. I'm decent at drawing myself …
ytc_UgyqRn1TQ…
G
I'm skeptical of how much automation will cause mass unprecendented redundancy, …
rdc_gli95lm
G
It'll be a big test of how democracy holds up in the face of extreme income/weal…
ytc_UgwLvH-09…
Comment
Aside from the obvious promise of engineering molecules like targeted oncological meds, and cataloging mutations, there are countless other benefits. After watching my elderly father lose his vision and begin to fall at home, so many use cases became evident. Leveraging the abilities of a smart devices with deep conversational abilities of LLMs could combine the strengths of them both. Controlling devices, setting reminders, placing calls, while having meaningful conversations. Cognitive exercises, memory games, encouraging reminiscing, providing education. Imagine a multimodal model with computer vision watching for potential falls, hazards, encouraging exercise, monitoring wandering, tracking wearable health devices, and liaising with a PCP, and yes, predictive analytics to put services in place before they are needed. i think the next device will be a GPT-V driven computer vision that, with cellphone camera, provides a real-time commentary of a blind person's environment. That just scratches the surface. The use-cases could fill a book.
youtube
AI Harm Incident
2023-11-24T00:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgyKi6IcKSItp6Tp46d4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgzTp-oFJO0jfylWj9d4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgzxdDF4TwQSW0ip3cB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyvNy5U9jbHuppY4q94AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugx3Xu-pm1WBLbtmX8J4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyFFBGxV_l2h10nDDN4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugy0aT6sxAGKSaO8MMV4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_Ugyt5IC_2xSMnfLJK6h4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugy706Tn3YrauUimBoh4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzKYP5wt4NCtH4j42Z4AaABAg","responsibility":"none","reasoning":"unclear","policy":"industry_self","emotion":"approval"}
]