Raw LLM Responses
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G
I do believe LLMs can cost us our jobs. I had MANY instances where if I followed…
ytc_Ugz-ZOJPP…
G
I think people just have difficulty grasping what thinking differently from huma…
ytc_UgzsQj-ug…
G
They wanna act like its a bad thing ai is taking their jobs smh. Ai is the great…
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G
Give me five minutes and *I* could code a fucking programme that was as effectiv…
rdc_e7j2hf1
G
My favorite argument against it so far is they are not an artist if they use AI,…
ytc_Ugx2p7b3U…
G
Wow that's revolutionary no one ever thought that, you're the smartest person ev…
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G
We can already see how AI will be misused. There is currently sufficient money, …
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G
The problem are the salesman selling the hype to the accountants. AI is a produc…
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Comment
Somene asked me to recommend a specific DaveShap video that touches on this. There isn't a single video that exhaustively covers only this, but some talk about it can be found in a video titled "OpenAI Announces STARGATE and OPERATOR! Welcome to the United States of Acceleration!" starting at 13:10; transcribed:
Addressing AI Safety Concerns
There’s little evidence to support the fears that AI is intrinsically dangerous or power-seeking. And so, what I’ll point out is the lack of evidence. Number one, there has not been any scientific consensus or papers coming out demonstrating that AI is intrinsically always power-seeking, that it is uncontrollable, or that it is intrinsically evil. None. Zero.
Now, there have been a few papers that have come out which say, in this one circumstance, we were able to exhaustively test it to failure, and we were able to create a situation where the AI tried to reprogram itself because it was following our other instructions to "do this at all costs." It’s really, really disingenuous how hard you have to squint at some of these AI safety labs to say, “Oh look, it tried to escape.” It’s like—it didn’t really try to escape. You gave it a superseding instruction to do something at all costs, and then it tried to escape. But that was not intrinsic to the AI model. That was humans creating a situation to try and catch it red-handed. It’s really dumb.
Now, we have a lack of evidence for this "evilness," and some people might say, “Well, absence of evidence is not evidence of absence.” But in this case, it kind of is. Because we have a preponderance of evidence to the contrary. We have literally hundreds of papers coming out saying things like, “Oh, here’s a new training scheme. Here’s a new safety scheme. Here’s a new training paradigm of how to get AI to do what you want it to do. Here’s another one to fix jailbreaks. Here’s another one to fix hallucinations.” So, we have a mountain of evidence that AI will do what we want it to do, and a dearth of evidence that it is evil.
So, yeah, the burden of proof is on the doomers, and the doomers have not delivered. Therefore, the doomers are just kind of getting put into the corner. That’s my rant.
youtube
AI Governance
2025-09-24T08:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
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{"id":"ytr_Ugz2nWBFqk2uj9sWM7l4AaABAg.ANS2zHlrNhfANS8elLfLIt","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugwbk90fqZJ6mGXgcmh4AaABAg.ANQv22eQpg3ANdTJxpvaEV","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"fear"}
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