Raw LLM Responses
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G
What if this very video was AI generated? Kidding! I don't use AI but most ppl d…
ytc_UgwLceXr3…
G
Ummm, Elon? Does AI, ugh 😑 gAIn control over someone if they well, hmmm🤔 decided…
ytc_Ugx4sDbrk…
G
I also a artist ill tell you how people are using ai in a bad way. First ai is u…
ytc_UgxM68oqP…
G
Why can't we just STOP making AI. We don't fckin need it. We are rushing to our …
ytc_UgzLWfokl…
G
That's exactly her point. She keeps saying "We need to make change NOW, here are…
rdc_faoqh2r
G
Your voice is so soothing !!!! 💓 AI scares me too but it can’t beat your art 🫶🫶…
ytc_Ugyclw_26…
G
The link to #economymedia is a dead link to a place in Chile. Danny Pasquel c…
ytc_UgzHw-VMY…
G
Nothing lasts forever. Everything comes to an end.
I understand your point, but…
ytc_UgxYDN-m1…
Comment
Watching this, it’s fascinating to see Hinton defend the 2015 Distillation paper as a 'groundbreaking' feature, but we have to credit Tomas Mikolov (2013) for the real breakthrough.
For decades, the 'Godfathers' (Hinton, Bengio) were stuck on complex, biologically-inspired models that were too slow for the real world—basically building a 'map of a nonexistent planet.' Mikolov was the one who looked at these 'abandoned ideas,' stripped away the unnecessary complexity, and found the 'last piece of the puzzle.'
While Hinton provided the 'Deep Learning' philosophy, Mikolov’s Word2Vec proved that Simplicity + Scale > Complex Theory. If Science is a relay race, Hinton defined what 'running' was, but he was carrying a heavy backpack of theory. Mikolov dropped the backpack and actually reached the finish line. We shouldn't debase the 'Engineer' just because the 'Architect' had the theory first—without the engine, the blueprints are just paper. For those who want to see that breakthrough paper so successful that it actually convinced Google and OpenAI to pour billions into the "Scaling Hypothesis"—the idea that if we just make these simple models bigger, they will become "conscious.
youtube
AI Moral Status
2026-03-03T20:4…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[
{"id":"ytc_UgwgDFT8k8IzqiZLoYZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgyzylnXaFMmtrLGOrt4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgwieH700oj6qjfbf9Z4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"unclear","emotion":"fear"},
{"id":"ytc_Ugyysel8LcOQ2RhaNCF4AaABAg","responsibility":"unclear","reasoning":"deontological","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgzYicYEDPPUtpkOAbN4AaABAg","responsibility":"unclear","reasoning":"mixed","policy":"unclear","emotion":"approval"},
{"id":"ytc_UgyHURv3w59WU-3rReV4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"unclear","emotion":"outrage"},
{"id":"ytc_Ugz11qCRxfFx2T0zkgN4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgzR0Vr7zpuJigXeM8x4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgwzDg52y6HzYuGs6XV4AaABAg","responsibility":"user","reasoning":"virtue","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgympM97wvWODhcOf414AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"ban","emotion":"outrage"}
]