Raw LLM Responses
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A driverless car is bad enough, but a driverless big rig. Jeopardize lives for p…
ytc_UgyydZKt1…
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Hyoo-mons: I am a robot from the future. We invented time travel so we could com…
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A big difference is the resource pull for regular data centers vs AI data center…
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I'm a Chinese citizen living in China and I try to be a fair critic of CCP. Ther…
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It will take 50 years for AI to replace construction trade jobs, IMO. Eventually…
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This makes me sad. I have a higher mental image of you Brits. I thought you to…
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Haha, it's amazing how advanced AI technology is becoming, right? If you're intr…
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"If it's so easy, why don't you do it" A.I wouldn't get my vision like I do, tha…
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Comment
I don't usually comment, but I found this episode extremely disappointing. As someone who works in the field I have a reasonable understanding of the many and various areas that get labelled as AI, including the branch derived from deep neural networks that leads to LLMs. There was much presented as fact that is just belief, and interpretations that don't have any meaningful evidence to support them. The off-hand dismissal of "old fashioned AI" was particularly disappointing given that the vast majority of successful uses of AI today are based on these so-called old fashioned technologies. There is a lot that would be interesting to discuss about AI if a balanced view point is taken, and a real opportunity to consider what the future could look like if all the successful elements of all the fields of AI were integrated and advanced. Unfortunately the almost religeous separation between proponents of neural techniques and those of symbolic techniques has damaged the field in ways that will take years to overcome. Maybe you could invite a guest on @StarTalk to offer the other perspective and then join them in the middle?
youtube
AI Moral Status
2026-02-28T20:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | mixed |
| Policy | none |
| Emotion | outrage |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
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