Raw LLM Responses
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G
They make robot to increase their business productivity, it's not for people ben…
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my mom called chatgpt an idiot for not understanding her question and it said it…
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The models don’t need a “constant stream” they just need a good training dataset…
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Well, the way Nightshade works is that it apply a thin layer of corruption or so…
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This. And seeing how China views IP theft as their CCP given right, vigilance wi…
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So these brilliant scientists model computer learning on human learning and info…
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The amount of people aupporting ai generated imagery still surprises me, but at …
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Porque não vendem estas máscaras personalizadas? Assim não precisaria fazer proc…
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Comment
Well, going from GPT2 to GPT3 to GPT4 and then o1 was a massive increase in capabilities. If you look at other computer based systems, it makes sense to forecast exponential growth as we have seen that in other systems. For example, I remember my first PC in 1996 was a single core CPU with 60 MHz and 8 MB of RAM. These days, anything below 4 or even 6 cores running at 4-5 GHz with 16 GB of RAM is basically trash. So, that's literally thousands of times faster in 30 years. That's where people get the idea of exponential growth.
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Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | approval |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
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