Raw LLM Responses
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Haven't those tesla driverless vehicles already killed people... and this aurora…
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Unfortunately because AI is trained on videos like yours, I did have to double c…
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The multi-billionaires investing heavily into in AI and robotics to cut costs, a…
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"Superintelligence"? How is stealing art and 4chan memes going to amalgamate int…
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This is an excellent tutorial! It's mind blowing how powerful ChatGPT is! One of…
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But in my opinion, it’s not important to know if it’s really is a really, not wh…
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I remember watching irobot movie where will Smith had to fight these thing. I ne…
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If the idea is to make us confused and worried then, yep it worked on me. Obviou…
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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"}
]