(FB 1544364209 Timestamp)
Yes, indeed, we share 98.9 percent of our DNA with chimps. But what are the differences? About half code for olfactory receptors – we can’t smell much compared to chimps. Pelvic shape. Spine. Body Hair. Immune recognition. Reproductive isolation. There are hardly any difference in the brain. Those differences that do exist, code for the number of rounds of cell division during fetal brain development. We have like three times as many neurons as chimps due to three times as many cell divisions during early development.
So when I tell you intellectual phenomenon are EMERGENT, and “It’s all just layers of memory (Neurons)” I’m trying both to horrify you and demonstrate my point about both artificial intelligence, the possibility of alien intelligence, our capacity as humans, the differences between humans – it’s just neurons (computational power) offset by limits of computational efficiency that is better named neural economy.
In other words, the model I use, and try to teach you, is to think about our behavior in terms of neural economy (bias), neural responsibility(bias), neural distribution(bias), and our chemical reward systems(bias).
And why does this matter? Because our language functions as a system of computation that improves that neural efficiency, and that language consists almost entirely of a set of references (functions) that are analogies to experience (reactions, actions). And that all language (references, symbols) consists of changes in state (neuronal changes) of those experiences, and as such the underlying semantics and grammar is the human experience. And since we SHARE that human experience closely enough to communicate within the limits of that experience, that the human body, senses, emotions, and cognition (experience) provide the semantics and grammar of changes in state: ‘stories’. And as such all speech consists of continuous recursive disambiguation of arrangements of changes in state (a model) by the accumulation of stories (changes in state), and understanding(meaning), agreement(understanding), and error reduction(warranty) the three phases of speech, that together constitute a transaction. and we combine those transactions into a sets of transactions, that are recursively updated. So our brains are not that different from a database other than we are always and everywhere trying to ‘fit’ those models that result from those transactions into an arrangement with other transactions.
So, to tie this into Propertarianism, (a)Consciousness will emerge within the limits of the system. (b) Decidability is provided by the limits of the system, and its reward systems. if you do not teach an AI to ‘want’ something it can’t want it’ Because want (acquisition) provides decidability. We decide by our wants. Absent wants an AI can’t decide. Without decidability it can’t act. 
Propertarianism consists of restating the disciplines in these Operational(causal) rather than the traditionally Experiential(consequential) terms:
– Metaphysics: Vitruvianism(man as measure of all things to man),
– Psychology: Acquisitionism.
– Sociology: Compatibilism .
– Ethics: Propertarianism
– Law: Sovereignty and Reciprocity.
– Politics: Markets in everything.
– Epistemology: Testimonialism.
Together they produce high trust. adaptive velocity. at some non-trivial cost to neural economy.
Greater neural capacity increases adaptive velocity. higher neural capacity more high investment to create the same neural economy.
The greatest adaptive velocity you can produce for your people is not necessarily the improvement of the individual, but the culling of FRICTIONS from less competent individuals, increasing overall neural economy. (remove friction and error from the system).
Together these function as the highest correspondence with reality at the cost of greater demands for neural economy.
So The White Law provides the highest correspondence, consistency, identity, and constructability, with the most complete explanation that man has provided to date.
One Continuous Consistent Explanation of The Human Experience from Subatomic Physics to the Wonder of Mankind’s Arts.
primate info is quoted from Sapolsky who uses this example frequently)
 This was the end result of my study of AI in the early 80’s, and, it’s why I stopped working on it – technological limitations (cost) in that era.