Raw LLM Responses
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G
I went to the doctor with a family member. Fortunately he knew what was going on…
ytc_UgxJDY5MZ…
G
Not at all, we already have full self driving cars that even pull over for polic…
ytr_Ugx0yEpS-…
G
Using Pneumatic Workflow, we've adapted our workflows for this AI-driven world A…
ytc_UgxO96Nh6…
G
The advancement of AI is the best gift to developers, it increase productivity. …
ytc_Ugxrs5tlJ…
G
We all thought the AI apocalypse would be Terminators in the street, but it'll r…
ytc_Ugzg30A8-…
G
@laurentiuvladutmanea Defeatist? I see the AI winning as a victory. Lol. And you…
ytr_Ugyex1scM…
G
Everything an AI created is just a slop created from a ton of people who have sp…
ytc_UgwA6SbLB…
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“AI predicts man would be one of the parties in a shooting at some point in the …
ytc_Ugx-SSUvx…
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.
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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"}
]