Raw LLM Responses
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G
@TheAngryDesigner No design tool prior did the actual creating for you. They ch…
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G
Humans live on blood. What does the AI live off of? Electricity? Batteries need …
ytc_UgxUKsYsa…
G
these AI can decide who is good who is bad, who wins the election, which product…
ytc_UgxgXZqCp…
G
The "mundane harms" framing is exactly right, and AI companions are one of the c…
rdc_ohwbqpk
G
TURN TO THE THE BIBLE in the King James Version (KJV). Just open it up and star…
ytr_UgxjrMgNo…
G
lol as a service plumber a robot is never going to do my job. maybe new building…
ytc_UgxN95eek…
G
So how can we stop the AI surveillance dystopia? This seems like something thi…
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art is also in considerate using of mediums and context to create your idea from…
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Comment
To clarify, Glaze and Nightshade function as "negative examples" in the dataset. The small, almost imperceptible changes created by these software programs are actually subtle encodings that a convolutional model can misidentify. Typically, they use encodings contrary to the example described in the image, for example, encoding a dog as a cat, a cup as a toilet, etc.
Each time a bad encoding is made, the weights are slightly changed, to the point that each new poisoned piece of data adds more and more to the overall corruption of the AI.
Trying to erase such encoding with blurring actually destroys any data these systems can use for fine-tuning.
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Viral AI Reaction
2025-05-06T08:4…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
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