ᛕᎥᕼᗷᗴᖇᑎᗴ丅Ꭵᑕᔕ @Kihbernetics@qoto.org

A #hierarchy is an #emergent property of an otherwise "flat" #network composed of randomly connected elements.

>"The craze with all things #quantum is not just because of its inherent weirdness. It’s motivated by a #reductionist impulse that has been animating science from Robert Hooke in the 17th century to Stephen Hawking in the 21st."

https://iai.tv/articles/reality-is-not-revealed-by-quantum-mechanics-auid-2512

Read the pdf here if interested in this kind of stuff:

https://stream.syscoi.com/2021/08/10/disorder-order-discovery-or-invention-von-foerster-1984/

#H_v_Foerster defines #complexity as
>"the number of #cycles it takes to compute the arrangement from the description".

When the description is much shorter than the arrangement it describes, we have #order, and when the length of the description is the same as that of the arrangement we have #disorder.

>"If the length of the description approximates the length of the arrangement, it is clear that *we do not understand this arrangement*."

😀

I see more and more individuals doing "organizational change in complex systems" frowning on the mention of "best practices", documentation, and planning, because:

> "in an increasingly interconnected world where technology, information, and customer expectations evolve at an accelerating rate, insights from past performance quickly become irrelevant in many scenarios"

https://medium.com/topology-insight/best-practices-are-useless-in-complex-systems-f7797a12071

All such "modern approaches" to dealing with *complex systems* forget that the *insight from past performances* is the **only** thing we can actually rely on while preparing for the uncertain future.

They also forget that organizations normally work, not in any one of the *clear, complicated, complex, and chaotic domains* at any point in time, but they are rather *in and out of all of those situations all the time*, and different parts of the same organization can also be in different situations at the same time.

Best practices are also not "silver bullets" as they would like you to believe. Best practices are the default (only possible) response the system can produce to par the current situation because it depends primarily on the #knowledge_state the system is currently in.

Having *diverse perspectives*, allowing time for *experimentation*, and maintaining short and direct *learning loops* are not some new and "improved" methods the organization should start adopting when things get complicated or complex, but should be rather part of the (documented and planned) very ***best practices*** an organization adopts as the *normal way of doing business*.

>"It’s not just Love Island: “fake British accent” videos have over 188,000 views on TikTok, where young people say they use the voice whenever they feel uncomfortable."

Maybe a way of unconsciously adopting a "Keep Calm and Carry On" perspective in unexpected circumstances?

https://getpocket.com/explore/item/why-are-so-many-young-americans-adopting-fake-british-accents

>"If time didn’t have a direction, it seems to me that would make time into just another spatial dimension, and if all we’ve got are spatial dimensions, then it seems to me nothing’s happening in the universe."

https://getpocket.com/explore/item/a-defense-of-the-reality-of-time

The use of the terms #transformer and #transducer seems somehow different in #AI than in other #engineering disciplines.

In engineering a "transformation" means altering the #form of the same #substance and "transduction" is used when the form is "produced" in another (different) substance.

For example, a #transformer will change (reduce or increase) the voltage "pressure" of an AC current source while a #transducer such as a microphone will change an **acoustic** pressure (wave) to an **electric** signal.

https://www.assemblyai.com/blog/an-overview-of-transducer-models-for-asr/

#Hallucination is defined as "an #experience involving the apparent #perception of something not present". Consequently, it requires a #sensory apparatus.

Because an #LLM does not have the ability to experience its surroundings except through user-provided prompts, an erroneous statement generated by the model should be called a (computational) #mistake, not a hallucination.

It cannot be a #lie because there is no #intention involved in the generation of the statement.

>All received cellular information must be analyzed to be deployed as cellular problem-solving to maintain homeorhetic equipoise. However, the effective implementation of information is definitively a function of orderly information management. Consequently, effective cellular problem-solving is information processing and management.

Cellular information is not *received* and *processed* or *implemented*, it is *created* and *used* by the cell to regulate its internal autopoietic (growth) processes. Cells don't *solve problems* and I don't know what the *function of orderly information management* stands for.

I had to look for the meaning of *homeorhetic equipoise* and it turns out that *homeorhesis* stands for *steady flow* and *equipoise* stands for *balance*. So why just not use those words?

Revised central dogma? This sounds more like a bunch of BS written by a chatGPT.

https://comdig.unam.mx/2023/06/06/a-revised-central-dogma-for-the-21st-centuryall-biology-is-cognitive-information-processing/

>The Cambridge Dictionary reports that #charisma is “a special power that some people have naturally,” but this association with individual influence is criticized as just another tedious expression of the **Great Man Theory** and overlooks much interconnected complexity. In her book, “Charisma and the Fictions of Black Leaders,” Erica Edwards argued that this view has “privileged charismatic leaders, from Frederick Douglass to Martin Luther King Jr., over the arduous, undocumented efforts of ordinary women, men and children to remake their social reality.” This uncritical faith in charisma as a motor of history, she wrote, “ignores its limits as a model for social movements while showing us just how powerful a narrative force it is.”

https://www.noemamag.com/the-secret-history-and-strange-future-of-charisma/

#Democritus (Greek: Δημόκριτος, Dēmókritos, meaning *chosen of the people*) claimed that everything starts from *atoms*, in a *bottom-up* #causation.

#Democracy (Greek: δημοκρατία, dēmokratiā, from dēmos 'people' and kratos 'rule') can be described as #emergent *top-down* #control mechanisms based on the free association and decision of autonomous individuals.

All #causation is *bottom-up* or from the *inside-out*. There is no such thing as *top-down causation* imposed from the outside. There is only an emergent (internal) level of constraints and other control mechanisms generated by the interaction of individuals fulfilling a common need or objective.

>"If we teach only the findings and products of #science ... without communicating its critical method, how can the average person possibly distinguish science from #pseudoscience? Both then are presented as unsupported assertion."

>"Science is far from a perfect instrument of #knowledge. It’s just the best we have. In this respect, it’s like #democracy. Science by itself cannot advocate courses of human #action, but it can certainly illuminate the possible #consequences of #alternative courses of action."

>"Every time we exercise self-criticism, every time we test our ideas against the outside world, we are doing science. When we are self-indulgent and uncritical, when we confuse hopes and facts, we slide into pseudoscience and superstition."

From #Carl_Sagan's *Baloney Detection Kit - Rules for Bullshit-Busting and Critical Thinking*

https://www.themarginalian.org/2014/01/03/baloney-detection-kit-carl-sagan/

>#Life must have emerged from the physical world. This emergence must be understood if our knowledge is not to degenerate (more than it has already) into a collection of disjoint specialized disciplines.

>... #physics and #biology require different levels of #models ... physical theory is described by rate-dependent dynamical #laws that have no #memory, while #evolution depends, at least to some degree, on #control of dynamics by rate-independent memory #structures."

https://www.researchgate.net/publication/12009802_The_physics_of_symbols_Bridging_the_epistemic_cut

>"Real #creativity comes from the #unconscious. You can make tiny improvements using the logical part of your mind ... anything that's really new it's going to come up from the unconscious, and that can only happen if you're in a state of #play."
https://www.youtube.com/watch?v=qmQ9_stT2Kc

Politics is easy. Just feed them and let them think they are in charge 😂

>When compared to the pugilistic congressional tech hearings from Facebook to TikTok in the past, Tuesday’s rendition was surprisingly cordial—likely buoyed by the fact that Altman shared a dinner with around 60 lawmakers the evening before, where he reportedly gave them a demonstration of ChatGPT’s capabilities.

https://www.thedailybeast.com/how-congress-fell-for-openai-and-sam-altmans-ai-magic-tricks

I want to share this jewel that I found while looking for texts about #HV_Foerster's *non-trivial machine*.

It reminded me of how I always felt that the multidisciplinary game weaving together structures from different sciences with music in #H_Hesse's book *The Glass Bead Game* (*Das Glasperlenspiel*) published in 1943 (1949 in English) describes #Cybernetics, the very thing #N_Wiener was working on at the same time.

https://www.academia.edu/67973857/Creating_von_Foersters_non_Trivial_Machine_in_Digital_audio

Shall I be reading "scientific papers" or articles with a title that ends with a question mark❓
**NO**‼️

>Any headline which ends in a question mark can be answered by the word "no." The reason why journalists use that style of headline is that they know the story is probably bullshit, and don’t actually have the sources and facts to back it up, but still want to run it.

https://en.wikipedia.org/wiki/Betteridge%27s_law_of_headlines

>A #sign is something, A, which brings something, B, its #interpretant sign determined or created by it, into the same sort of correspondence with something, C, its #object, as that in which itself stands to C.

#CS_Peirce (1902)

In #Kihbernetics a sign is the #model describing (documenting) a #system ("mental model") abstracted from a real #phenomenon (object) by an #observer (the interpretant).

>#Cybernetics stands to the real machine - electronic, mechanical, neural, or economic - much as geometry stands to a real object
in our terrestrial space.

>It takes as its subject matter the domain of *all possible machines*,
and is only secondarily interested if informed that some of them have not yet been made, either by Man or by Nature.

#WR_Ashby (1956) - *An Introduction to Cybernetics*

http://pespmc1.vub.ac.be/ASHBBOOK.html