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I want to share this jewel that I found while looking for texts about ’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 ’s book The Glass Bead Game (Das Glasperlenspiel) published in 1943 (1949 in English) describes , the very thing was working on at the same time.

academia.edu/67973857/Creating

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.

en.wikipedia.org/wiki/Betterid

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

(1902)

In a sign is the describing (documenting) a (“mental model”) abstracted from a real (object) by an (the interpretant).

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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.

(1956) - An Introduction to Cybernetics

pespmc1.vub.ac.be/ASHBBOOK.htm

is not a describing the or the of an .
It is rather a (an algorithm) that describes () the of , i.e. specifies what the has to perform at any moment depending on the constructor’s own and that of its .

The of the is defined by its as constructed by following the algorithm. Besides the functions involved in this process of self-construction and maintenance, a mature organism is also involved in the of (messages, seeds) for dissemination () in the environment.

Reading Wolfram’s “A New Kind of Science” to see what’s all the fuss about and I think he’s got the basics wrong.
For starters, his “cellular automata” do not produce but , and all of the originates from the fact that every new row has two more pixels.

wolframscience.com/nks/p27–how-do-simple-programs-behave/

Conway’s “Game of Life” cellular automata can be said to produce as they maintain their initial dynamic while moving through the “dead environment” of empty cells and will change their behavior when interacting with the static or dynamic structures of other “live” automatons.

playgameoflife.com/

Astute observation from social psychologist Michelle Ryan on Twitter’s decision to hire a female CEO during its time of crisis!

twitter.com/shellkryan/status/

“Research shows that women and people from ethnic minorities are more likely to be chosen to lead a company, sports team, or even country when it is in crisis mode.”

bbc.com/future/article/2022020

@ShellKR
#SocialPsychology

Beware big (and small) consultancies that promise quick and lasting change. The only legitimate reason to hire a consultant is to bring your organization into a position where you don’t need them anymore.

And don’t forget that it is you that will have to do all the hard work during the transformation and live with the results.

A book everyone who thinks of hiring a consultant should read first:

marianamazzucato.com/books/the

The next logical direction for evolution should be to implement a new reward system that lets them be wrong and enables their :

“As the agent learns, its becomes less and less wrong so that the signal decreases, and the agent must explore other, more surprising situations in order to maximize the reward signal.”

quantamagazine.org/clever-mach

According to , the integrated functional circuit for requires these three faculties:

1️⃣ - without which the system cannot detect and internally represent environmental regularities,
2️⃣ - without which the system has only throughput (cannot learn)
3️⃣ - or the faculty of drawing , without which perception degenerates into and memory into .

Understanding Understanding: Essays on Cybernetics and Cognition - pp 105-106

“The word “” was invoked all through the summer of 1956. Instead of trying to analyze the brain to develop , some participants focused on the operational steps needed to solve a given problem.”

spectrum.ieee.org/dartmouth-ai

Producing electricity while protecting your crops from extreme weather. Brilliant!

The citron of Calabria in southern Italy had almost died out from extreme weather and lack of economic value. But growing the crop under a canopy of solar panels has given the fruit a new lease of life – with lessons for many climate-stressed crops.

bbc.com/future/article/2023042

Philosopher Mary Brenda Hesse

considered the use of and in scientific models.
Instead of obsessing over the justification of scientific knowledge, she highlighted the need to think about its generation. How do scientists develop their ideas about the world and come to discover new things?
The cognitive power of metaphors, in her view, resided in their capacity to create similarity. The use of metaphors is an act of co-creating, not discovering, similarities between a metaphor and its physical target system. Such an act of metaphorical co-creation is inevitably shaped by cultural context.

aeon.co/essays/why-are-women-p

The whole argument of AI-generated art discussed in the article below is moot. Whatever it is that generates it certainly isn’t .

“In science you must not talk before you know. In art you must not talk before you do. In literature you must not talk before you think.”
Ruskin - The Eagle’s Nest (1872)

AI is not “doing” or or . AI is just talking.

spectrum.ieee.org/ai-art-gener

We can work better under the assumption that there is no such thing as . The sooner we understand this, the sooner we’ll start managing our new intelligently.

Jaron Lanier

newyorker.com/science/annals-o

Paraphrased from the same source:

This “” (error in the or error in the ) can be identified at all organizational levels:

➡️ Computer programs may have either an error in the program itself ( error) or an error may happen because of the machine ( error) that executes an otherwise correct program.

➡️ At higher levels it is possible to make an error in the choice of algorithm which is being programmed or even make a mistake in the choice of problem that the developed algorithm is supposed to solve.

➡️ Similarly in social and political organizations we distinguish between a faulty policy and the failure to execute a policy properly.

In other words, we try to distinguish between the error in our of reality which leads to incorrect policies ( and descriptions), and the error in which leads to a failure of a (good) policy implementation.

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Biological physicist on the futility of the attempts to create artificial by reverse engineering .

“No amount of information, thought, or discourse alone can cause the body to move. It takes some . As Waddington has pointed out, the first function of was to cause , not to make .”

link.springer.com/article/10.1

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