Uncensorable Decentralized AI
chat.enqai.com
chat.enqai.com
Let’s evolve this into something colorable: guns are available to purchase, but the manufacturers are required to put serial numbers and safeties on those weapons. Now a new manufacturer announces guns for sale that are exactly the same as the other guns, except the serial numbers have been removed and the safeties are permanently disabled.
Is the new manufacturer doing something immoral and unethical? Yes. Absolutely. Do they bear more responsibility for the crimes committed with their weapon than those manufacturers who took public safety into account? Yes. Absolutely.
Have all the manufactures created a tool? Sure. Has new one created a tool for criminals? Yes. Is the new manufacturer a tool? Absolutely.
The purpose of an LLM is, arguably, to answer a prompt with a statistically likely continuation of that prompt. The purpose of “censorship” is to keep that LLM from emitting answers that include harmful material — either by making it refuse to do so or by excising such material from its training data — and de-“censoring” that LLM is directly analogous to removing the safety mechanisms on a gun. The purpose of decentralized processing is to make it both harder to assign culpability for the harm and to make it more difficult to track the person causing the harm… again, directly analogous to filing the serial number off a gun, or not stamping one in to begin with.
The analogy is entirely appropriate.
Which brings us full circle back to this CSAM generation engine and the extremely negative purpose it absolutely will be used for.
People with positive intent don’t need its key value added; those with negative intent do. The pathology isn’t in the product, the pathology is in its creators and their very likely intended audience.
You point at one bit of positive knowledge that can be developed by letting an LLM regurgitate CSAM from its training data. Or hate speech from its training data. Again, all it can do is regurgitate training data, so de-censoring means either adding in those types of “censorable” training data that weren’t already present or removing the filters that keep it from emitting utterances that remix “censorable” data that was already present.
It’s not paternalism, it’s a simple view that making something open and free isn’t an inherent positive.
Let me ask you a question. Does generated CSAM damage victims more than real one?