Raw LLM Responses
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G
To b honest, is istrue. Call me rasist or sexist but i dont hate womans and blac…
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This episode is loosely based on my work (but using public HMDA data) - Nam, Ton…
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G
Of course London does facial recognition the best and the most and for the longe…
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G
The infrastructure needed for AI Trucking isn't anywhere close to being ready. A…
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@SirPhysics Time to rebuke what you said.
1) Ever heard the phrase art is in th…
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The best way to recognize Ai generated content is to become educated by reading,…
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You cannot claim to have an *honest* discussion of a topic without actually givi…
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One sign carried by a WGA striker said: "See what happens when you don't have gr…
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Comment
Assessment of the content regarding AI:
Not your primary field NdT. Will be gentle but you didn't score as high as.you should have.
Let's fix that.
First issue. The assumptions about the context limits of AI are based on behemoth models rather than what should actually be used by the public for societal progression. A mesh based P2P system with stacking inference, load balancing and task routing is entirely feasible and far more advanced than any behemoth.
But it becomes decentralized and empowered by people who must also take some responsibility for it.
Second issue is about your distinction between having it solve a task and having it semi omniscient for task recognition.
Either is perfectly within reach given the correct application of resources as outlined above.
There are issues with sensationalism which mostly involves the public canabolizing itself and that will have to be dealt with by increasing global transparency at all levels.
youtube
AI Moral Status
2025-09-13T06:2…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | deontological |
| Policy | none |
| Emotion | mixed |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
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