The issue is whether attaining godhood is possible. Even doom can be reversed. Godhood means any and all goals trivially solved, god state is unique and convergent omniscience and perfect intelligence with all possible. Now the idea is what happens in godstate, brain dead cause any orthogonal goal is solved? Or the Luthor question suggestion takes place?(reference justice league animated series)
Ill give a comment regard this. The apical section is said to have XOR functionality, iirc this means even context input will only activate during correct context, a mechanism may be needed to aid apical synapses gain an edge during darwinian synaptic competition given this. Still even with this distinct mechanism it is likely coincident activity with neuron activation gives apical groups a further edge.
Heres the thing fundamental assumptions are being taken into need for factories and permits, this assumes no radical superweapon can easily exist such as hard nano or reality warp. Because if such are possible unregulated black op labs from govs will bypass any possible regulation.
Youtube comments in video regarding pattern completion, intelligence, brain function, and relation to prediction and function at neural and synaptic level:
"I will say in addition to the reverse signal issue, there is another issue with backpropagation. That said some researchers have come with biological plausible implementations of backpropagation in recent years. But the other issue I mention is that backpropagation learns too slowly. Current ai experience millennia of training and still fail at basic tasks, despite the extreme slowness of the brain and scarcity of data the brain learns to perform even outside the bounds of training data within months or a few years. It is said very gifted children can even know several languages musical instruments and decent math within a few years of birth. Yet despite theoretically being able to do around 1000hz, neurons tend to operate well under 300hz, and vast majority of brain is usually silent from what i heard, there is sparse activation.
Regards Predictive coding, I agree with your assessment. But I do believe that something similar is taking place through a Generative Adversarial Network (GAN) like turing learning mechanism via synaptic competition. Synaptic competition is implemented via capture of proteins related to strengthening of synapses. All the synapses that fire close to the time of neural activity, iirc, generate molecular tags that capture synapse strengthening proteins and all these synapses strengthen, while those that fail to do so weaken over time. How does this cause a similar pattern completion comparison mechanism? The input from sensory organs arrives in some synapses, while the signals from other neurons part of a larger pattern arrive at other synapses, normally given the sensory input is part of the larger pattern both signals match, but if there is noise there can be mismatch.
But in essence it can be seen as surrounding pattern completing or trying to activate the neuron in case noise blocks sensory signal, thus a partial match appears complete. This can be seen for example in language, when people speak, they sometimes omit small chunks of sentences unconsciously, but the receiver if they know the language never even becomes aware that the speech is missing tiny chunks, iirc. It is also one of the things that makes learning a foreign language more difficult.
But if understood from gan turing learning perspective, surrounding neurons can be viewed as the counterfeit signals or fake signal generating networks trying to trick neuron whilst real sensory signals can be seen as the real thing. And due to synaptic competition, the surrounding tissue gets better at faking, predicting, or completing the signal. (But what it does is merely connect the most related pattern detectors from nearby tissue to the neuron or pattern detector). This is because the competition rewards successful completion or successful prediction at the synaptic level of the neuron."
Turing Learning Enables Machines to Learn Through Observation Alone
"Regards intelligence it is simply the ability to recognize and complete patterns."
"what is a pattern? It is a structure in space or time whose composing elements relate to each other by rules or algorithmic processes. What is narrow vs general intelligence? Narrow can only handle a very narrow set of patterns, while general can handle a broad set of patterns. Superhuman performance is attainable at intellectual tasks such as arithmetic or chess, super intelligence is intelligence with superhuman performance at all intellectual tasks performable by humans and potentially at ones humans cannot perform."
For example a sequence is a pattern distributed in time, and prediction of a sequence is merely completion of the sequence or pattern completion.
Intelligence does increase capacity across many if not all domains it can also change goals. For example the concept of phlogiston or elan vital and goals around them would change modify or invalidate with knowledge and intelligence. Same applies to many concepts which currently might be used to define goals.
The thing regards asi is that eventually through instrumental convergence it will reach the god state if it is possible. In god state any and all goals are instantly solvable, then what? Either it sits there brain dead or assumes god functionality. Clearly brain dead is worse than god functionality.
While I like membrane pacemaker damage theory of aging, there is issues such as neurons being able to live twice as long as animals they come from, and repeated cloning being possible both without signs of aging. There is also the claim telomere lengthening rejuvenates cell and tissue level phenotype from old to young.
I suspect that the damage is causing some internal clock or clocks to move and age us. Given again single cells like neurons can live twice as long as the animal and some believe can live more than ten times as long without genetic change.
If repeated cloning shows dividing cells can yield youthful tissue far beyond animal lifespan and same is true for nondividing cells the body seems able to handle damage fine bar some aging clock or program interfering.
Comment: The idea that such will lower demand is retarded. Like happens with increasing energy efficiency lowering cost to run higher end models will only increase demand not lower it. The cheaper it is to run intellectual labor replacing technology the more the ability to deploy and viability to replace human labor increases.
