Thanks for that. I know - the meglamania of recency is a bit embarrassing to the field and world, is it not?
Reconceptualising technological development from first principles does not require the new paradigms and approaches, that work with physical limits rather than against them, to emerge entirely in a vacuum. If we look more closely at nature and attune to be fitted to nature from microscopic level to cognitive to civilisational, then nature might reveal her principled secrets that informs the new paradigms and approaches.
Some have innate knowledge of this by also working within. Progress might be beyond materialism.
Others in cogsci like vervaeke relevance realisation or clark predictive processing see the function of consciousness as directly handling computational complexity - to ensure relevance or predictive fittedness to reality of overwhelming outer sensory data and our inner expectation models. So we might need foundational research on conciousness and role in computational complexity to nurture its emergence to replace current blind hope of god like omniscient conciousness arising from our meglamaniac scaling of one partial mechanistic success.
So thank you for building more of a case for studying emergent intelligence and conciousness in Tuffs prof michael levin style new biology research in bioelectric morphogenesis - as i said this component of my agenda applying levin to filamentous fungi for tangible near term microscopic result in oud resin production, seems my most sane project in my cyberpunk agenda. Wisdom often looks crazy in our low-life humanity, hi-tech cyberpunk dystopia or in our wisdomless forced control approaches to exponential tech in our planetary challenges. My silver vaults and golden visas and venture capital in sovereign AI platforms are just a “means to an ends for me” to create context for my pet project seeking empirical natural morphogenic breakthroughs.
It is not that agentic AI roots in AI planning in computer science started ignorant of complexity science P != NP etc - I spent half the 90s integrating teams of operations research phds well versed in optimisation and NP hard problems with AI teams and object oriented teams, such as in building planning tools at ryder logistics to route toyota us parts network (classic travelling salesman problems with NP-complete routing decisions and NP hard optimisation).
More interesting to me is similar well known formal results in description logics where we already formally understand similar physical limits on expressiveness, decideability and completeness in logical concept language description itself (with equivalent results in modal logics) plus equivalent complexity science in qantum computing.This could inform levin’s exploration of multidimensional teleological spaces of emergent cellular intelligence.
Of course prior to covid, I workshopped applications of both quantum computing and description logic views of the gene ontology, with our oz leaders in proteomics, systems biologists led by the guy who coined the term proteome, who went on to build our next gen sequencing platforms for oz biotech researchers, that are now used by the rna industry. But this has become perhaps an even more embarrassing field of science. This underpins my interest in biological computational modelling as one input to my pet levin project in bioelectric morphogenesis.
Litle miss muffet ate the cat to eat the bird that ate the spider etc. It all leads to biolectric morphogenic foundations for me at the moment. Even my christmas is dining with biolectric healer from ancient asian indigenous lineage - an electric pokemon girl who wears rubber gloves all the time to avoid dangerous discharges if we get too intimate. Hmm - maybe I am just a cyberpunk cartoon character. Merry christmas all.