Raw LLM Responses
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G
7:10 also the non-AI one is still bad. THE FUCK IS UP WITH THE HANDS? why does s…
ytc_Ugyac85tL…
G
Wow, I had no idea there were this many tools! AICarma has been a lifesaver for …
ytc_UgwOTSw1Z…
G
I don't even call AI "it" to be honest, let alone refuse to use manners. How I s…
ytc_UgyTZ2ojy…
G
Mankind deserves exactly what it gets for putting ai on the internet. Been sayin…
ytc_Ugw8VAFy1…
G
VPNs already bypass that. And of course everone's always murmuring about banning…
rdc_o9c9kld
G
Yeah, if you use AI as part of your workflow, be prepared to be sent death threa…
ytr_UgzRLcoLR…
G
If AI can replace coders it cannreplace lawyers, accountants, pharmacists and EV…
ytc_UgzJrGdyG…
G
I’m a farrier in Texas. Let’s see AI put shoes on a horse 😂. So glad I am educat…
ytc_UgwlJWB1q…
Comment
Intelligence doesn't require consciousness. GPT-4 is intelligent enough to serve as the backbone of AGI. We can easily design software architectures in which GPT-4 engages in inner monologues, rewrites its goals, and stores memories. However, we currently can't concentrate the necessary computing power for such architectures to be effective.
There are experiments where one GPT-4 instance communicates with another to evaluate its answers. In some scenarios, dozens of GPT-4 models propose different answers, with another instance selecting the optimal one. Imagine millions of AIs debating a question a thousand times while continuously searching for information on the internet.
LLMs are already becoming more compact. Open-source models, such as those based on Meta's LLaMA and comparable in capability to GPT-3.5, can already run on personal hardware. Instead of bigger models, we might need models that are more efficient and at least on par with GPT-4 to achieve AGI. If such an AGI manages to autonomously replicate itself on other machines and utilize their computing power, it could mark the last chapter in human history.
youtube
AI Moral Status
2023-08-20T20:2…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgwXFoN6YIzMoo6q-2B4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgwrJI0swBo5SATFRHl4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwQ3xc6lgzXthOAbDN4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxcQUDVLu0Xj1N6gOl4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugxm9d8aojNUrriw-Bl4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyoouMwNH7GD6fgccd4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgzgCuaOvpmqiH7Ae2F4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgzAqH-TbytQyZYDELp4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyUtAeurvHWLzHAJ3h4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxlrOm--qvgsOG3Jgd4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"}
]