Raw LLM Responses
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G
I'm an older art guy who makes art for shows and art fairs. This is just somethi…
ytc_Ugyi1gB_w…
G
watching this i start to understand why they think about mental health care...fo…
ytc_UgzYlIiks…
G
Surely, the question is, why do we need AI models that feed on the arts at all? …
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G
5:54 what if it's best conversation partner you ever had
Watch "HER" beautifull…
ytc_UgxcYRrqn…
G
Isn't this dangerous? I saw some videos a while back saying tech emits harmful r…
ytc_Ugw8-0HzT…
G
Remembering that useful AI in the corporate context is Actually Indians, the con…
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G
I don’t hear either of those two arguments. However, what I am already seeing a…
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G
The irony is that in the crusade to reject ai going as far as to make purposely …
ytc_Ugx2hUjHW…
Comment
One aspect I think is worth mentioning: Since the current form of AI draws "knowledge" from all available sources, but must bias moren frequent data more fhan rare findings, everything thats not easily available via Google search prompt ist also not available in AI. Yes, GPTs can easily give you working code that has often been written - even variations of that code. But once you get to problems that either haven't been solved a million times before or which solutions were not publicized - AI will struggle to give you meaningful insights. The benefit of AI over other information sources is the ability to do dialog-style searches (i.e. explain what you are acutally looking for) and adapting the answer to the given problem. Everything else seems out of reach of the current gen GPTs (which is to be expected, given their training methods). Newer AIs might be more flexible if their training contains fitness functions of autonomous problem solving - but this has yet to be proven viable.
Thank you Dave for another insightful videos!
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2024-01-15T06:3…
♥ 24
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_Ugy1LM4zkmqFK7TqapR4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgyNg66GI5c-siLY0El4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugz9o703oT9jp-W-lCt4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_Ugyo3J3fI3Y-p6p5r7h4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyoOSUhb3j0QN1uYAV4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"approval"},
{"id":"ytc_UgzAzxpCT-E6KCTYhzx4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_Ugwb8gt1ZZC-0kmvfpN4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugw5VxK0LvTfi53LqjJ4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgzHLt5lEmE3QrE-b8d4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxrAEuuJuWk5MDfcNd4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"indifference"}
]