Category Archives: learning

The dirty secret of capitalism

And the way forward. Granted it’s not full-blown collaborative commons but more like a healthy social democracy of the kind Sanders promotes and Scandinavia has. But I think it’s a necessary stepping stone on that road. The blurb:

“Rising inequality and growing political instability are the direct result of decades of bad economic theory, says entrepreneur Nick Hanauer. In a visionary talk, he dismantles the mantra that ‘greed is good’ — an idea he describes as not only morally corrosive, but also scientifically wrong — and lays out a new theory of economics powered by reciprocity and cooperation.”

The Map and the Territory

Recent book by Wuppulari and Doria. F___ing Amen man. This would be a good one for discussion. From the Intro by Penrose:

“Is there a global map that can simulate every other map under some constraint? […] If two maps cannot be integrated, is this a limitation of our scientific cartography or is it the nature of the underlying territory itself that prevents us from such an attempt? […] It is safer to let the gaps remain as gaps while we let our maps remain as maps, rather than giving in to the seemingly seductive approach of trading in our understanding and intermingling maps with territory to fill in the conceptual gaps—however, much this may comfort us and appeal to our tastes!”


From the blurb at b-ok.org:

This volume presents essays by pioneering thinkers including Tyler Burge, Gregory Chaitin, Daniel Dennett, Barry Mazur, Nicholas Humphrey, John Searle and Ian Stewart. Together they illuminate the Map/Territory Distinction that underlies at the foundation of the scientific method, thought and the very reality itself.

It is imperative to distinguish Map from the Territory while analyzing any subject but we often mistake map for the territory. Meaning for the Reference. Computational tool for what it computes. Representations are handy and tempting that we often end up committing the category error of over-marrying the representation with what is represented, so much so that the distinction between the former and the latter is lost. This error that has its roots in the pedagogy often generates a plethora of paradoxes/confusions which hinder the proper understanding of the subject. What are wave functions? Fields? Forces? Numbers? Sets? Classes? Operators? Functions? Alphabets and Sentences? Are they a part of our map (theory/representation)? Or do they actually belong to the territory (Reality)? Researcher, like a cartographer, clothes (or creates?) the reality by stitching multitudes of maps that simultaneously co-exist. A simple apple, for example, can be analyzed from several viewpoints beginning with evolution and biology, all the way down its microscopic quantum mechanical components. Is there a reality (or a real apple) out there apart from these maps? How do these various maps interact/intermingle with each other to produce a coherent reality that we interact with? Or do they not?

Does our brain uses its own internal maps to facilitate “physicist/mathematician” in us to construct the maps about the external territories in turn? If so, what is the nature of these internal maps? Are there meta-maps? Evolution definitely fences our perception and thereby our ability to construct maps, revealing to us only those aspects beneficial for our survival. But the question is, to what extent? Is there a way out of the metaphorical Platonic cave erected around us by the nature? While “Map is not the territory” as Alfred Korzybski remarked, join us in this journey to know more, while we inquire on the nature and the reality of the maps which try to map the reality out there.

The book also includes a foreword by Sir Roger Penrose and an afterword by Dagfinn Follesdal.

Decentralized collective intelligence

Jordan Hall of the Neurohacker Collective on decentralized collective intelligence. Sounds a lot how our group works, our collaborations creating something greater than our individual contributions, even though the latter are part and parcel of the process. What happens when we node thyself.

Bezos projects capitalism into space

Yes, space exploration is critical but we need to do it for the right reasons. And Bezos and other futurists want it without awareness or regard for the socio-economic system that has created hell on earth. So dump the earth and take our destruction into space? How about we change our worldview and socio-economic system and do it for the right reasons? And invest most of our time, energy and money into saving this world?

“The saying ‘it’s easier to imagine the end of the world than to imagine the end of capitalism’ is very clear in Bezos’ future imaginings. He is unable to challenge the capitalist system from which he’s derived so much wealth. Thus the only positive future he can imagine involves leaving the only planet habitable to human beings. […] We don’t need space colonies; we need to get rid of billionaires and let the future be decided collectively, instead of letting a few powerful men rule the world.”

Their are alternatives to capitalism consistent with the above. As but one example see “From capitalism to the collaborative commons” in this journal issue.

Book: Range: Why Generalists Triumph in a Specialized World

In his new book, Range: Why Generalists Triumph in a Specialized World, David J. Epstein investigates the significant advantages of generalized cognitive skills for success in a complex world. We’ve heard and read many praises for narrow expertise in both humans and AIs (Watson, Alpha Go, etc.). In both humans and AIs, however, narrow+deep expertise does not translate to adaptiveness when reality presents novel challenges, as it does constantly. 

As you ingest this highly readable, non-technical book, please add your observations to the comments below. 

History of complexity science

Here’s an interesting infographic of the main concepts and thinkers in complexity science across time. Notice S. Kauffman is slated in the 1980s column, suggesting the graphic depicts when influential thinkers first make their marks. 

https://www.art-sciencefactory.com/complexity-map_feb09.html

New journal: Human Arenas

Linked here. The blurb:

The aim of this journal concerns the interdisciplinary study of higher psychological functions (as topic of a general theory of psyche from the perspective of cultural psychology) in human goal-oriented liminal phenomena in ordinary and extraordinary life conditions. The journal is organized around topics and arenas of human activity, rather than the traditional boundaries of academic disciplines. It will explore human arenas from the point of view of historical foundations, methodology, epistemology, and the intersection of disciplines. Human Arenas promotes an innovative mix of theoretical and empirical studies, as well as qualitative and quantitative approaches based on “small data,” that is, the analysis of crucial and meaningful data, rather than the inductive accumulation of large empirical “evidence.”

Topics of interest include:

·         Human arenas of movement (moving, changing, developing, crossing borders and horizons, utopia, crisis, resistance, schooling)

·         Human arenas of creation (imagining, fictionality, music, sensuality, drawing, dancing, playing, affectivating, anticipating, eating and cooking, loving, ambivalence)

·         Human arenas of regulation (religion, rituals, semiosis, constructing/destroying/deforming, killing, believing, caring, value, cultivating, dwelling, blocking/facilitating, inhibiting/promoting, coordinating collective action, ornamenting, voicing/silencing)

The journal itself is the arena for the development of theoretical foundations and empirical horizons of a general theory of human psyche, from a counter-hegemonic and peripheral perspective, meant to foster continuous dialogue with any kind of mainstream. The vision of the journal is to provide an interdisciplinary space for debate, in which psychology can learn from other disciplines, and other social and behavioral sciences (e.g. archeology, anthropology, biosemiotics, philosophy, medicine, natural sciences, ecology, humanomics, aesthetics, sociology, art, history, etc.) can learn from psychology. The journal will support the development of general formal models of human phenomena, also by reflecting upon processes of abduction, generalization and theorization.

how does music affect the brain?

The blurb:

“In this episode of Tech Effects, we explore the impact of music on the brain and body. From listening to music to performing it, WIRED’s Peter Rubin looks at how music can change our moods, why we get the chills, and how it can actually change pathways in our brains.”

For me the most interesting part was later in the video (10:20), how when we improvise we shut down the pre-frontal planning part of the brain and ‘just go with the flow,’ which is our most creative and innovation moments. This though does depend on having used the pre-frontal cortex in learning the techniques of music to get them so ingrained in memory that we are then free to play with what we’ve programmed.

Running on escalators

Ideally, automation would yield a Star Trek reality of increasing leisure and quality of choice and experience. Why isn’t this our experience? An article on Medium offers insight into why this is not occurring on any significant scale.

Evolved behavioral strategies explained by the prisoner’s dilemma damn the majority of humans to a constant doubling down. We exchange the ‘leisure dividend’ (free time) granted by automation for opportunities to outcompete others.

Apparently, the sort of reciprocal social learning that could lead us to make healthy choices with our leisure opportunities depends on us and our competitors being able to mutually track our outcomes across consecutive iterations of the ‘game’. That ‘traceability’ quickly breaks down with the complexity inherent in vast numbers of competitors. When we conclude that any viable competitor may use her leisure dividend to further optimize her competitive position, rather than to pause to enjoy her life, we tend to do the same. Each assumes the other will sprint ahead and so chooses to sprint ahead. Both forfeit the opportunity to savor the leisure dividend.

The prisoner’s dilemma shows that we (most humans) would rather be in a grueling neck-and-neck race toward an invisible, receding finish line than permit the possibility a competitor may increase her lead.

Any strategy that’s so endemic must have evolutionary roots. Thoughts?

The info processing (IP) metaphor of the brain is wrong

Psychologist Robert Epstein, the former editor of Psychology Today, challenges anyone to show the brain processing information or data. The IP metaphor, he says, is so deeply embedded in thinking about thinking it prevents us from learning how the brain really works. Epstein also takes on popular luminaries including Ray Kurzweil and Henry Markram, seeing both exemplifying the extremes of wrongness we get into with the IP metaphor and the notion mental experience could persist outside the organic body.

The Empty Brain (Aeon article with audio)