simple checklists evolved into memories with compositional, preventative logic structures
大多数人认为智能体的学习过程是线性的,从简单到复杂逐步发展。但作者观察到智能体的记忆结构经历了质变,从简单的程序清单演变成具有组合性和预防性逻辑的复杂结构。这挑战了对AI学习过程的线性理解,表明学习可能是非线性的、突变的,而非渐进的。
simple checklists evolved into memories with compositional, preventative logic structures
大多数人认为智能体的学习过程是线性的,从简单到复杂逐步发展。但作者观察到智能体的记忆结构经历了质变,从简单的程序清单演变成具有组合性和预防性逻辑的复杂结构。这挑战了对AI学习过程的线性理解,表明学习可能是非线性的、突变的,而非渐进的。
Culture as the ‘genetic code’ of the next leap
for - article - The End of Scarcity? From ‘Polycrisis’ to Planetary Phase Shift - Nafeez Ahmed - gene-culture coevolution - adjacency - indyweb dev - individual / collective evolutionary learning - provenance - tracing the evolution of ideas - gene-culture coevolution
adjacency - between - indyweb dev - individual / collective evolutionary learning - provenance - tracing the evolution of ideas - gene-culture coevolution - adjacency relationship - As DNA and epigenetics plays the role of transmitting biological adaptations, language and symmathesy play the role of transmitting cultural adaptations
are you familiar with the concept of hyper object
for - Indyweb dev - tracking the evolution of individual / collective learning of social learning - hyperobject -example of - perspectival knowing - conversation - Micheal Levin - Jordan Hall
Comment - Both Jordan Hall and I are familiar with the concept of hyperobject but in this part of the conversation, Jordan introduced the idea to Micheal for the first time - This illustrates to me that truism that our perspectival knowledge of reality is unique - Our individual meaningverses and lebenswelt are uniquely located and situated in life - And whenever a multi meaningverse events, the ensuing conversation is collectively - consciousness expanding - expanding the - semantic fingerprint and - symmathesetic fingerprint - of all conversants
Hutchins compiled those ideas in a few books, most nota-bly Higher Learning in America (1936).
around that same time i got a call from my daughter you know leave it to your kids and she said you know mom it's 00:03:48 just that all the problems we're dealing with in the world right now are insidious and um you know it came up last night siva was talking about the insidiousness 00:04:01 of the facebook problem and and this was an unlocker for me of what what does it mean for something to be insidious so i looked it up and i started to 00:04:14 explore and it turns out that insidious is defined and i think this is from the you know the oxford on the internet not the original but um that there's proceeding in a gradual 00:04:27 subtle way but with very harmful effects in other words there's something that's that's gathering combining in an unseen way that's leading to danger
The use of physical location, even in an imagined environment, as a memory aid likely arose as a result of the fact that so much of the essential information stored in memory can be linked to foraging-type behaviours.
I've thought this before, and sees like I've possibly read, though not captured it. Is there any solid proof of this fact?
Rat studies of mazes show this sort of spacial memory, but are there similar learned studies in lower animals? C. elegans, drosophila, slime molds, etc.?
solo thinking isrooted in our lifelong experience of social interaction; linguists and cognitivescientists theorize that the constant patter we carry on in our heads is a kind ofinternalized conversation. Our brains evolved to think with people: to teachthem, to argue with them, to exchange stories with them. Human thought isexquisitely sensitive to context, and one of the most powerful contexts of all isthe presence of other people. As a consequence, when we think socially, wethink differently—and often better—than when we think non-socially.
People have evolved as social animals and this extends to thinking and interacting. We think better when we think socially (in groups) as opposed to thinking alone.
This in part may be why solo reading and annotating improves one's thinking because it is a form of social annotation between the lone annotator and the author. Actual social annotation amongst groups may add additonal power to this method.
I personally annotate alone, though I typically do so in a publicly discoverable fashion within Hypothes.is. While the audience of my annotations may be exceedingly low, there is at least a perceived public for my output. Thus my thinking, though done alone, is accelerated and improved by the potential social context in which it's done. (Hello, dear reader! 🥰) I can artificially take advantage of the social learning effects even if the social circle may mathematically approach the limit of an audience of one (me).
“Manipulations such as variation, spacing, introducing contextualinterference, and using tests, rather than presentations, as learningevents, all share the property that they appear during the learningprocess to impede learning, but they then often enhance learning asmeasured by post-training tests of retention and transfer. Conversely,manipulations such as keeping conditions constant and predictable andmassing trials on a given task often appear to enhance the rate oflearning during instruction or training, but then typically fail to supportlong-term retention and transfer” (Bjork, 2011, 8).
This is a surprising effect for teaching and learning, and if true, how can it be best leveraged. Worth reading up on and testing this effect.
Indeed humans do seem built for categorizing and creating taxonomies and hierarchies, and perhaps allowing this talent to do some of the work may be the best way to learn not only in the short term, but over longer term evolutionary periods?
Wishart, A. E. (2020). Towards equitable evolution & ecology learning online: A perspective from a first-time instructor teaching evolution during COVID-19. https://doi.org/10.31235/osf.io/8srv3
Mistakes are not just opportunities for learning; they are, in an important sense, the only opportunity for learning or making something truly new. Before there can be learning, there must be learners. There are only two non-miraculous ways for learners to come into existence: they must either evolve or be designed and built by learners that evolved. Biological evolution proceeds by a grand, inexorable process of trial and error — and without the errors the trials wouldn’t accomplish anything.