Quick Introduction We have all been on forums, chats, reddit, discord, youtube, or somewhere and heard “Oh! Model XYZ is AMAZEBALLZ!zomgwtfbbq” then downloaded it (or more likely, some quantized form of it) and said “eww… This sucks!” This post is going to be a rather technical series of experiments to demonstrate the impact of implementation-specific hazards with inference. I will be using the term “reference implementation” to describe the lab that published and offers first-party hosting of ...
Discussing the consciousness of neural networks is NOT being pro-AI. I’d say it’s even the opposite, as it displays the danger of such a technology.
Most of the words in the definition have multiple interpretations, it is not as easy as you wish it would be.
Finally, we do NOT at all know how trained neural networks work. We know how training and inference work. We can read the neurons, but the shear size of weights make it a rather impenetrable black box we have to study, partially, to understand the goals of the emergent sub networks.
Fearmongering about the idea of a neural network gaining consciousness is basically like doing free advertising for AI companies lmao
You are ascribing a power to them that they do not possess
For the record, I think neural networks have a lot of useful applications; for example, radiological image recognition. The term “AI” basically has no meaning though, and is most commonly used to describe LLMs, a technology that has very few (if any) good real world applications.
I am not fearmongering the fact it helps or not AI companies is not relevant here.
You are getting off topic.