Raw LLM Responses
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AI be more racist than actual people and it doesn't even have a race. Lets get i…
ytc_UgzSGuLm0…
G
Using Pneumatic Workflow to track metrics has really helped us fine-tune our AI …
ytc_UgxwSWqFb…
G
this explanation will get scraped by ai and it will learn to reproduce this pain…
ytc_Ugx_d7JUC…
G
Guys, I'd like to point out a thing about the 'please regulate us' -argument bei…
ytc_UgwKr-BEu…
G
Thanks again, Lisa, for another great presentation. Thanks to the Institute for …
ytc_UgyERyuJ_…
G
Men you will still have to clean her out and you’re too lazy. Itl be stinking bi…
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G
This is getting more difficult to distinguish, especially with things like reali…
rdc_mubx4f1
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What if instead of buying the products the robot lords produce, I instead have a…
ytc_UgyugiOGS…
Comment
I agree. Alex is using “gotcha” questions on a program that was designed to mimic human conversation as perfect as possible. The program’s goal, when it comes to language, is not to be truthful.
It’s supposed to be truthful with the information and data it provides, sure. But its language is only replicating English speech patterns. And the only reason it does not include emotional phrases like “I’m sorry” are because it was told to use them. Hardly the program’s fault.
Entertaining video, but it doesn’t make sense in the context of the programming. Either way, giving a lot of Will Smith in I, Robot vibes, which is fun.
youtube
AI Moral Status
2024-08-16T07:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | unclear |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
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{"id":"ytr_UgymTCIbv0HuwyfPc614AaABAg.A7I7aom0cagA7tOGB4uyNQ","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytr_UgymTCIbv0HuwyfPc614AaABAg.A7I7aom0cagA7ursDXGcV9","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytr_UgxT2NVdPVfexU9sb8p4AaABAg.A7I7VKQPHw3A7Jh35mBlq4","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_Ugz1-Fd-j6daLIYlwWt4AaABAg.A7GVteaPf3RA7b7Uz47KnV","responsibility":"company","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytr_UgxYZq-NnC5Sp6791vp4AaABAg.A7DmGBMSnHRA7H4RhbOl38","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"mixed"},
{"id":"ytr_UgzT_hxRdwVdnuFDS-94AaABAg.A7DZlAFPmG7A7KM3noWZ3H","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_Ugz8CorA-RmQ3jGVujZ4AaABAg.A7AFwfcKwDZA7AWMc_hweI","responsibility":"company","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugw6LIFiKup0hOijUNh4AaABAg.A797hOoj05MA7AWrJlpHZ-","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgxV0BNvGo3nfVnyUnd4AaABAg.A78P-T6kUQJA7BjHxPtCeN","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"approval"})