No, that's not how that works. If you make a claim, you have to back it up.
There is no law like that.
If you want to know something, the burden is on you to find out. You can try to assign it to someone else (which is what you have done), but if they don't rise to the occasion, it doesn't mean they are wrong, it means you don't know the answer.
If you say, "The burden of proof is on you!" and they roll their eyes and walk away, it doesn't mean you are right or they are right. It means the issue is undecided.
So what? This isn't a court of law.
Good job, you figured it out. I support your search for continuing to figure it out.
Serious question: Do insects experience? Do cells experience? (Note that they do have short term memory and change their response to stimuli in real time.)
If that were a serious question, you would familiarize yourself with the debate and research on the topic dating back to Descartes. But I think you lied, it wasn't a serious question.
Funny. There's an equal argument to be made that the burden of proof is on the people who think that consciousness is real.
Burden of proof is something that is assigned in a court of law.
Back in the real world, the burden of proof is on the one who wants to know the answer. If no one proves it, then we won't know.
No, the burden of proof is on the people who think that computation will result in consciousness
In the court of law, the burden of proof is assigned to one side or the other.
In the real world, the burden of proof is on the person who cares about the answer. If no one proves it (true or false) then the best we can say is "we don't know" or more likely, "X is true with n% probability"
Took me over a year to get the new nerves in the leg accustomed to drink a few beer.
LOL that's kind of hilarious.
The other question is, do they have an advantage that improves NNs?
That's a really good question but we haven't experimented with it much because it's so expensive. Modern NNs are heavily biased towards gradient descent.
It explicitly notes that "correlation between next-word prediction... and brain alignment fades once models surpass human language proficiency."
There's a hypothesis, but we don't know because they haven't surpassed human language proficiency. Not even close.
The biggest difference between time and space is that you can't reuse time. -- Merrick Furst