Raw LLM Responses
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Though it's been years, I spent two years in college for 3D animation and video …
ytc_Ugy0rEnUg…
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As a person who loved ur channel im kinda upset about this video there was no tw…
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as an artist i think the idea of art being something that has monetary value is …
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Also remember everyone, the economy is not a zero-sum game. Massive productivity…
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A nurse won't lose her job because AI fails, and a nurse won't lose his job if A…
ytc_Ugy9VZCJW…
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💯%They should deploy this technology in the police force for traffic enforcement…
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People might ask it anything. Think about all the stuff someone might type into …
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Artificial demand. Resources are monopolized and allocated in accordance to the …
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Comment
Great interview, but at times quite disingenuous. Let’s not pretend OpenAI invented the scaling paradigm; they were simply the first to apply it decisively to language models and follow it through to its logical conclusion. And it’s hard to argue that this approach wasn’t spectacularly successful, at least in the early years. After all, the only real difference between GPT-2, which is barely coherent, and GPT-3, which triggered the global race to AGI, is scale, since both ultimately rely on the same transformer architecture.
And scaling works more broadly than just for language models. Richard Sutton called it the bitter lesson: to paraphrase, throwing more compute at a problem tends to outperform hand-crafted, domain-specific approaches over time. The idea that one could achieve comparable performance or range of capabilities by training on small datasets using few chips is simply not credible. It’s not even in the same league as what modern large language models can do.
youtube
Cross-Cultural
2025-07-11T14:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | company |
| Reasoning | mixed |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_UgzdRXsJFV2xDkq4Vg14AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxLM9l8Wb5i-_gCB7F4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"outrage"},
{"id":"ytc_UgyxzMuxBGjG7FtszNp4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgzDcZ_JcGfuHaO_9cZ4AaABAg","responsibility":"company","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugz11tMYtVPjHsToUZN4AaABAg","responsibility":"government","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgyAVVR5KUJ9SNffTZF4AaABAg","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzEurs5anu9OM_iNwd4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzzHU0u0uyfMXlFKpB4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_Ugw3F9HXEPjNpqQTSAd4AaABAg","responsibility":"none","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_UgwXkovWOzRFycK7TwF4AaABAg","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"outrage"}
]