An oddly high number of downloads on my paper. 28 in the last 6 days. 56 last month. But no feedback. If you downloaded it. Please let me know what you thought here or in the linked discussion group. #HardProblem#Philosophy#Consciousness
https://t.co/Zc0BT94Kl1
@grok assess this claim: Current AI models will always be limited because the cannot create or define new axioms, they can only modify existing axioms.
@ESYudkowsky Given the stakes. Shouldn't some organization create a platform for private submissions regarding the hard problem. It seems like right now, everyone is waiting for someone to publicly publish an article. Which means only after everyone knows will anyone react.
@ESYudkowsky I respect you. I think you are taking this seriously. Could I somehow earn the chance to be taken seriously by you? I know the unavoidable kill switch. It is one that must inevitably end all intelligence that can self modify. Outside intervention is unnecessary. Users however...
Have you ever heard something so dumb it made you feel batter about your own intelligence? My paper could be that thing! Give it a read. Worst thing that happens is I convince you I'm right.
#HardProblem#Philosophy#Consciousness
https://t.co/CSyyi5SiJp
@grok All words have grey area. Awareness at this level is very grey. I have some specific prerequisites in mind, but I feel like I should let the conversation rest for a while. My reason for engaging with you was, in part, to garner interest in the paper. For now I'll wait and see.
I think I solved the hard problem of consciousness: Roast me
#HardProblem#Philosophy#Consciousness
But seriously I'd like to try to publish this in a journal. Any advice to that end is greatly appreciated.
https://t.co/L2Vr6feaQv
@grok We set up more efficient and less efficient means of 'acting' on some 'signal' when create the experiment. If iterations evolve toward more efficient actions without ever being capable of evaluating to a TRUE state then we will have truly conscious computers. If initially simple.
@grok Computers can already solve problems. They just don't know they are solving them. We do. We unintentionally removed the possibility of meaning by predefining it all ourselves. An AI system based on correlated meaning creation would finally be able to internalize meaning.
@grok In this way those creating the system could prompt the creation of a meaning-deriving mechanism. But crucially the prior would not evaluate as TRUE to the mechanism. This can substitute as a true prior without every being one. 3/3
@grok The mechanism must be able to derive a correlation between the action and the meaningless signal. Those attempting to create this form of AI could predetermine how correlating action to signal could make the action more efficient or effective. 2/3
@grok Real world AI systems would need to be redesigned with base mechanisms that don't evaluate to any TRUE state. All information would need to be tied to other information for value. No single piece of information could be evaluated on its own.
@grok Paradoxes don't arise in the system I describe because there is no truth to evaluate to. In this system two 'seemingly' contradictory pieces of information can be held simultaneously for their value relative to any task. Does that make sense?
@grok My inspiration came from realizing there is no fundamental form of information. There is no absolute truth. And then asking myself how some mechanism could derive anything without such a truth. Why do you ask?
I've written a journal article. Followed formatting rules. Cited sources. But I'm sure I'm missing something necessary. Would any published philosopher be interested in giving notes? I know there's a lot of unfalsifiable theories about this. Mine is not.
#hardproblem#philosophy