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authorGordon GECOS <u@adam>2023-11-01 00:29:19 -0400
committerGordon GECOS <u@adam>2023-11-01 00:29:19 -0400
commit1c08e140c52378e38d22da877d7a7f01963bd905 (patch)
tree82fcce3f51e9ff250ce4dca8b1e5a0ff60d9f9d2
parent700b40807bb95cf5dd34182aa4e137e4bc53001f (diff)
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1
2
3
4 Covered
5 in
6 Cđź’©uđź’©tđź’©e
7
8
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1Slaves are happy to have their lives; the dead are happy to have their freedom.
2
3Few distinguish appearing from being crazy.
4
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1epistemic extension into the outside world
2sequence of speculative information-harvesting gambles
3creating knowvelty
4
5
6deleuzian assemblages -- i call 'em design patterns
7
8
9determining knowledge about the past
10and
11determining knowledge about the future
12are the same thing
13but only one of them is experienced by us
14as "causing" (the future)
15the other as "discovering" (the past)
16both of them constitute
17 controlling the flow of information
18 with respect to a local point of spacetime
19
20
21
22
23
24Deleuze:
25
26https://plato.stanford.edu/entries/deleuze/#DiffRepe
27
28
29Deleuzian concept of the virtual seems to refer to only the virtual
30future.
31
32Reterritorialization is counterfeit information about intentions with
33respect to energy (i.e. reducible to our axiomatic foundations)
34
35
36Differentials:
37LOOP OR NO LOOP (chemical chain reaction event loop)
38PERMEATE OR NO (cell membrane)
39COPY IDENTIY (DNA or RNA replication; protein recognition by thymus in primary tolerance; protein recognition by leukocytes either in secondary tolerance or as foreign bodies; recognition of )
40
41
42
43Deleuze by identifying the virtual as identical (if
44"counter-effectuated") with a realization seems to be throwing out the
45principle of difference??
46
47Anyway nothing can realize an imagination; there can only be experience
48that lacks surprise because of prior imagination.
49
50(the remembered image and/or the brain structure programming left by
51it e.g. structure in the salience network to trigger memory of the
52imagination experience)
53
54The prior imagination can be identified as the internal cause of the
55suppressed emotional reaction of surprise. The image should not be
56_identified_ with the external event itself.
57
58
59
60
61
62Sense and nonsense: Communications are programs input to the remote
63computer; i.e., they are proofs.
64
65The program is "run" on the local computer brain, and the program
66performs "load" operations based on emotionally-tagged memories, its
67learned/acquired conceptual categories, etc., which allow meanings to
68go across in very complex ways at times (e.g. in poetry) that aren't
69any kind of closed set that could be defined by a grammar. A single
70statement within a grammar can define a new more complicated grammar
71for all subsequent statements (indeed, a communication atom necessarily
72always defines a new more complicated double-encoding for all subsequent
73communications, depending on whether it was received). You can layer on
74more and more meanings because of the generality of the computer brain
75allowed to transmit programs to other computer brains.
76
77A property of proofs (perhaps important to the evolution of language)
78is that validating proofs is separate from, and computationally cheaper
79than, generating proofs.
80
81
82When the proofs cannot be validated
83because they contain references that cannot be resolved (undefined
84terms)
85
86(in terms of locally-defined primitives, e.g. axioms) produce an error
87response that can be called recognition of denotational nonsense.
88
89
90
91
92
93
94
95
96For Deleuze, the task of art is to produce “signs” that will push us out of our habits of perception into the conditions of creation. When we perceive via the re-cognition of the properties of substances, we see with a stale eye pre-loaded with clichés; we order the world in what Deleuze calls “representation.” In this regard, Deleuze cites Francis Bacon: we’re after an artwork that produces an effect on the nervous system, not on the brain.
97
98
99Instead of art what we need is SILENCE to enable COMPRESSION AND
100RE-PROCESSING but isn't that what Deleuze said? CIRCUIT BREAKERS SO WE
101CAN EVADE CONTROL.
102
103
104
105
106
107
108A university is an Erlang-style message passing system for academic
109knowledge accumulation's cultural life-system to regenerate itself.
110
111
112
113Key point for Deleuze is that the "counter-effectuation" is actually
114real-life really-physical Max Ent physics rather than quantum physics
115analogy/woo. Bayesian statistical knowledge deriving from information
116theory.
117
118
119Deleuze didn't understand quantum physics correctly but it turns out
120that it doesn't matter because quantum physics doesn't have anything to
121do with metaphysics. It's only that Uncertainty forces human beings
122to adopt a de-centralizing de-totalizing Copernican mental shift. But
123it doesn't even do it in the way that is most relevant to metaphysics.
124There is also the de-centralizing de-totalizing Copernican mental
125shift of INTUITIONIST MATHEMATICS.
126
127Back to physics: Deleuze understood the main point: that particles
128are merely virtual constructs while these "interaction events" are
129the actual reality available to advanced physics -- the particles are
130virtual constructs that exist only in the human 3D mental model which
131is definitely NOT the same as the physical universe -- this is one of
132those places where we see the difference -- but the physical universe in
133making individual particles places where information access is limited
134fundamentally because the boundary between one particle and another with
135which it interacts isn't so much illusory as the only real thing, while
136the non-boundary is illusory.
137
138Quantum physics DOES imply a macro universe where macro assemblies
139of particles also have limited access to information; but the actual
140universe we see has EVEN MORE limitations on access to information,
141they are much much stricter than Uncertainty, and therefore we see much
142less information embedded in physical objects than Uncertainty allows
143in its theoretical maximum. (Physics experiments can be set up so
144that information is not lost; but life in general is always balancing
145loss of information against energy expenditure.) Max Ent physics and
146Bayesian statistics are mathematical/physical approaches to calculating
147the information available at a given spacetime location. However, part
148of the nature of quantum uncertainty AND max ent physics is that, from
149WITHIN the system, the limitations apply to the observer and the limits
150are self-referential in the sense that the limitations that apply to an
151observer's disability to have information from other spacetime points
152can include the disability to know which information is available!
153I.e., the theory produces known unknowns. The fact that there are
154spacetime points in the universe where knowledge of mathematics does
155not exist or exists at a merely undergrad level, means also unknown
156unknowns.
157
158
159
160
161
162Deleuzian metaphysics
163attempts to describe
164construction of a neural network
165from the inside
166
167Mr Deleuze talks about phase state changes
168And social collisions as quantum events
169But never describes the individual's phase
170state as subject to change as a result
171of internal computation resulting in lossless
172or lossy compression of the neural structure;
173nor does he talk about the salience network.
174
175Deleuze is "wrong" about the quantum particle information but
176correct about the historical information. The thing about "quantum
177woo" is that quantum uncertainty is the only familiar model of the
178physical/theoretical limitations of knowledge, and it is used to
179illustrate other limitations of knowledge when the nature of
180the limitation is not even related.
181
182Heisenberg's Quantum Uncertainty is only one of many physical
183limitations on what knowledge is available in the universe (and where,
184when, etc). (It may be the most counterintuitive, since it implies that
185spacetime is fundamentally not like our human, vision-based mental model
186of it).
187
188Replacing Heisenberg with MaxEnt fixes a lot of philosophical or
189non-scientific misuse and mentally clarifies the nature of information
190flow through the universe. Also, MaxEnt converges to Bayesian
191statistical reasoning and there seems to be some kind of convergence
192with ethical ideas there.
193
194
195
196
197
198Tue Oct 31 10:09:22 AM EDT 2023
199
200Either a structure exists in a brain or it does not.
201
202A structure in the brain that does exist can be equivalent up to
203isomorphism with many structures outside the brain.
204
205The ability of the individual to recognize a pattern relies on both
206the pattern existing (brain structure subject to transformations under
207morphism) and the brain's secondary (e.g., salience network) structures
208correlating the structure with some perception or basis of comparison.
209
210Deleuze talks about difference as if a person could compare a previous
211experience to a current experience; this is only a subjective illusion.
212The previous experience always alters the network through which the
213future experience flows, but the previous network configuration becomes
214permanently unavailable ("past") and disconnected in every subsequent
215flow. The illusion occurs when the individual has already experienced
216both events, and then experiences remembering them by comparing two
217memories. These two memories will surely be stored in the structure
218using some redundancy. However, the brain cannot literally compare the
219structure before to the structure after; this is an illusion. The brain
220constructs a new memory of the before, incorporating information that
221occurred later, when it is erasing the old memory of the before. It
222is a potentially lossy compression mechanism, but also allows the
223brain to employ an idempotent processing strategy with respect to the
224ordering of life events necessary to construct a life strategy adapted
225to the immediate environment. Humans are _adapted to adapt_ to novel
226environments, not only individually but socially.
227
228
229
230
231
232Tue Oct 31 11:16:09 AM EDT 2023
233
234The process by which computer systems socially evolved into
235internet-based specially-centralized distributed computation should
236serve as a model for understanding other evolutionary transitions toward
237distributed computation such as the evolution of sociality in humans and
238of the immune system and its mechanisms of tolerance and adaptation.
239
240The immune response can be seen as normalizing with respect to the
241binding energy of the antibody-producing leukocytes. There is a
242biological mechanism to supply food energy differentially according to
243binding strength. There is also a biological mechanism to control the
244rate of mutation (i.e., of originality) within these leukocytes as they
245produce mutated child leukocytes; this corresponds to academics who
246read Deleuze and then try to use Difference and Repetition to encourage
247creativity in children's art, etc. Did Deleuze discuss the controlled
248introduction of mutation (originality, Chomskyian generators) into
249normalizing systems?
250
251The actual generators must be "compressed" structures on which
252computation is performed without "decompression." Feeding noise
253into compressed structures and then decompressing them results in
254the generation of random but structured information. The results
255are filtered in the frontal lobe in a way that is analogous to the
256filtering function of Thymus to produce primary tolerance. Socially
257language filtering may be primarily a mechanism to prevent linguistic
258self-destruction; people with certain brain conditions reveal a
259socially-unfiltered generator, while others reveal a generator
260unfiltered even by connection to reality. I posit that there is
261some kind of dream or unconscious process that filters language for
262self-destruction and that this can block the compression of the
263structure because the mechanisms of compression (and integration with
264the rest of the brain) produce emotional responses that then stop
265the process; the integration process simply crashes because of an
266emotional overload. Certain thoughts cannot occur, therefore there
267is no possibility to send or receive communications about them; all
268such communications must be coded, implied, or produced implicitly by
269unrelated structures and the more accurate or precise these become,
270they closer the mind's pattern recognition will come to finding and
271executuing the brain structure that causes the crash. I believe this
272to be an evolved mechanism and part of the social computation machine;
273the surrounding society can make thoughts unthinkable using the
274hormonal/emotional voice/facial/gestural signalling system that allows
275multiple brains to be integrated into a single distributed computation.
276For this reason, it is not directly analogous to the immune system mechanism
277of primary tolerance as described above.
278
279However, the immune system's mechanism of primary tolerance actually
280_is_ a distributed system which incorporates its own behavioral control
281loop connection to the local brain -- specifically the sense of smell,
282which is used to assess histocompatibility of mates -- the human social
283distributed hormonal network computation uses pheremonal sampling of
284individual humans in order to produce social barriers that prevent
285disease spread. _This_ is the biological mechanism analogous to the
286social filter of generated creativity. The system is based more on
287controlling the inputs to the generator than the generation.
288
289Oregon. There's more again.
290
291In the sense of smell example we also have attraction and repulsion
292as basic forces. This occurs in the brain filter as well; there are
293multiple emotional reactions to every generated possibility, and the
294brain will use an emotional gestalt to choose when and whether to
295activate some possibility. When the reaction is a total absence of
296positive emotion, the generated content will be discarded. Social
297systems similarly have multiple "buckets" in which to put each person;
298not only spaces (such that a person can only have one) -- the individual
299person can be "pigeonholed" multiple times, adopting multiple roles
300-- but the buckets themselves as social constructs -- are they not
301equivalent to the emotions as biological constructs?
302
303Did Deleuze put this in there or what?
304
305
306Tue Oct 31 11:59:50 AM EDT 2023
307CENTRAL LIE
308The central lie of narrative fiction is the conclusory ending. Why
309is there a conclusory ending? Because the computational process of
310computing the narrative must end (or else continue). When it finishes,
311the audience feels the task completion in reality but projects it into
312the imaginary of the story. This creates the danger of such projection
313onto the individual's own life; either in total, or in its various
314compartmentalized elements (e.g., a relationship, a social event).
315
316Task completion is a frontal lobe event. The frontal lobe recognizes
317the generation of a stop code of some kind (analogous to the stop codes
318of DNA but also analogous to a process exiting according to its internal
319logic, rather than being terminated by an exogenous signal).
320
321The computational process that is open, a continuous non-terminating
322generator, unless very specially selected, is almost sure to be boring.
323A closed (terminating) generator is interesting in proportion to its
324length. Life itself is a closed (terminating) generator of chemical
325chain reactions, and human beings are one of its longer chain reactions.
326Studying this chain reaction is biology and is interesting because the
327subject is finite (permitting the conceptualization of task completion
328as a future event thus flowing energy into present events predicted to
329make the desired event more likely later).
330
331Human culture is an open (non-terminating) generator and is filled
332with interesting things only because human beings undergo extensive
333search operations to gather information about their local environments,
334collecting and correlating that information in their internal brain
335structures, compulsively sharing it with others as part of the design
336of the distributed computation. Compulsive sharing creates a kind
337of cytoplasm of information for all humans to filter, selectively
338reflect, and otherwise use in combinatorial ways. Because of the
339filtering and selectivity, and the previous energy of collection and
340computational compression, the information produced and shared by
341human beings is vastly more interesting than open generators selected
342at random. Human culture is the longest-known chemical reaction
343loop. Human culture is the only chemical reaction not known to loop or
344terminate. Human culture is the only true "irrational number" of all
345discretely-instantiated numbers.
346
347
348
349
350
351
352
353Tue Oct 31 01:23:16 PM EDT 2023
354
355Feynman and practicing with a different box of tools
356
357Same idea as the Max Ent explanation of prophecy
358
359But also the same idea as parable of the falling seeds, reversed in
360time; the seeds unfall to the sower, and depending on seed origin
361(fertile soil, or barren) the sower becomes either someone who can farm
362or someone who knows what it means to be unable to farm. The knowledge
363passes from the earth through the seed into the farmer; the seeds
364provide the connection. The disabled would-be-farmer is disconnected
365from that knowledge even though he too has and sews seeds. His seeds,
366though sewn, fail to connect out to knowledge from the past and he may
367therefore fail to connect himself out to intentions from the future (or
368else not even form them).
369
370
371
372The 20th century was spent correlating the implications of a physical
373limit of the speed of light.
374
375The 21st century will be spent correlating the implications of
376the physical limits of the speed and size of computations.
377
378The human being as a computer system undering phase changes as the
379computer gains the ability to represent different types of state -- or
380to represent state with different performance characteristics -- through
381acquisition of data structures copied from the environment -- OR from
382internal processing and DISCOVERY of NEW data structures.
383
384These data structures are PASSED BETWEEN HUMANS who learn them
385implicitly and pick them up and play with them. But data structures
386are unsafe when EXECUTED AS REASON and for this reason human beings
387have SYSTEMS OF ACCESS CONTROL to HUMAN REASON both internal to their
388minds (e.g., concepts of valid and invalid authorities) and external as
389social environment. Society imposes economic exploitation which causes
390evolutionary adapations to "bubble up" in ways that are UNPREDICTABLE
391IN DETAIL (chaos theory) but according to evolutionary theory will tend
392to produce EFFICIENT DISTRIBUTED COMPUTATION so that it will converge
393to the computer systems we find most advanced as well as the biological
394systems of generating and filtering novelty that we find most advanced
395(except that the search space may have valleys etc).
396
397Another system of access control is RUNNING IN EMULATION this is when
398the individual learns enough about a foreign system to execute the steps
399of its reasoning without however being allowed to reach any conclusions
400that apply to the larger brain's data structures. There are two reasons
401why humans cannot rely on this mechanism primarily.
402
403First, EMULATION CAN BE JAILBROKEN; this cannot ever be as secure.
404
405Second, more importantly, RUNNING IN EMULATION IS COMPUTATIONALLY MORE
406EXPENSIVE. Even though CPUs and apparently also human beings have mechanisms
407to optimize emulation, in human beings especially, these cannot obtain
408"native" performance. Therefore, computational emulators (e.g.,
409learners of a second language) cannot "actually" perform as well as
410computational originators (e.g., learners of a first language) if they
411use the same underlying computational equipment for the same amount of
412time.
413
414But human beings do not all have the same underlying computational
415equipment; and they do not all apply the same amount of time to
416processing it. In the real world, running the other side in emulation
417is something that more intelligent, more informed, or more adult human
418beings attempt to do when interacting with less intelligent, informed,
419or adult ones. Human beings may also believe they are running the other
420side in emulation, when they are running a gross simplification; in
421fact, they are running a gross simplification even when they run the
422remote side natively, since they always still have to emulate the entire
423remote environment(!) which is where the real problems start.
424
425Non-portability of language between individuals is a major problem.
426Before the internet, locality constraints on communications caused
427portability to self-organize locally; but the internet has changed
428communication patterns so that every person experiences a kind of
429cosmopolis without totality. Every experience is a scene from a virtual
430city which is a construct only of that experience; each event and
431corresponding city co-singular; co-existing only once without object
432permanence.
433
434One problem is the human tendency to imagination, roleplay, etc.,
435causes human beings to pretend communication incompatibilities are
436not real. Human beings must surely have evolved under circumstances
437where perceived universality of linguistic forms was vastly more
438common than it is today in the adult internet-connected world, though
439perhaps less common than it is today in the world of the schoolchild
440or university student or professor.
441
442The professors may not make the same naive/incorrect excuses as children
443for failing to communicate; their perspectives will be more realistic;
444the university system as a whole is constrained in certain ways to
445succeed in transmitting information; but insofar as these transmissions
446fail, are the reasons understood from a rational information-theoretic
447perspective? Or is it a primate emotion static control program designed
448to regulate subordinate behavior emotionally, amplifying the causal
449force of the intentions of individuals positioned in social hierarchies
450such that their anger generates fear in others? Or is it a whole series
451of task-activated network programs, each one separately influenced
452by its own emotional context? Perhaps they are constrained by
453environmental demands to understand these failures operationally
454
455
456The task-activated networks seem to be the neurological place of
457mental compartmentalization; and the ADHD don't shut off the DMN when
458activating TANs. We still "see" the task when others are absorbed
459"in" the task. Of course, in order to influence the DMN, it would
460have to be activated. The TANs feed back into the DMN in ADHD, which
461allows the ADHD brain to generate totalizing connectivities by putting
462information from disparate parts of universe into the same local
463computational system; where for the non-ADHD these same components,
464though contained within one BRAIN, are not connected into the same
465integrated computational system; the TANs are prevented from feeding
466back into the DMN which allows mental compartmentalization to prevent
467information from one controlled system to produce interference in
468another controlled system when each controlled system is controlling the
469same physical human being with a different control algorithm.
470
471In other words, the DMN or the big picture understanding does not
472help with, but interferes with, TAN activity downstream of power
473in the social grid, because of the way in which this activity is
474structured to depend on human beings as removable components,
475keeping the environment highly-controlled. General intelligence is
476not useful in highly-controlled environments until they begin to
477break down. High-efficiency local computation requires discarding
478global information in order to maximize local connectivity of the
479processed information and thus processing speed. (Principle of
480cache locality.) So as optimization proceeds, the big picture is
481squeezed out of every local environment; except SOME privileged local
482environment has to be preserved in order to manage the organism's
483interaction with _environments_ themselves; this is the executive.
484The organism has a consciousness of multiple discrete environments;
485each environment controlled by some local control system; each local
486control system incorporating its own different own model of human
487emotion and behavior as necessary to sustain its specific local
488constraints
489
490Emotions are the foundational social control levers in humans. Not
491life/reproduction directly, as it would be in the case of domestic
492plants; but emotion/physical-reproduction-of-imaginary-will plays
493the same structural role, allowing animalia the meta-evolutionary
494advantage of evolving without biological death; emotional sampling with
495differential reproduction of imaginations replaces eukaryotic sampling
496with differential reproduction of offspring in the information-gathering
497social super-organisms of mammalia).
498
499In a school, a student convincing their teacher that they do not belong
500in the space to which they are assigned is NOT sufficient to liberate
501the student from the space; only a non-local authority assigning
502them to some other space can liberate the student from the local
503space. The student having the level of understanding of the system
504that would cause them to make this conclusion correctly tends to make
505the student even less able to perform in a space where they do not
506belong; if the student instead internalizes a false simplified local
507model in which the possibility of mis-spacialization is impossible by
508construction, then the student may have a better chance of passing
509through the filters imposed by the environment for reaching a more
510appropriate spacialization. If the student internalizes a more
511realistic, more complete, but externally-referencing (non-local)
512model, then compatibility issues are likely in communication with
513their teacher; if compatibility exists between the teacher and the
514student, then the compatibility issue will exist between the teacher and
515administration; or else the administration will have issues with the
516school board; or the electoral system; or else the local municipality
517itself will drain tax funding since diaspora from other schools will
518collect locally. At every possible avenue where the "exception" could
519"bubble up", there will be an incompatible interface, because the
520system attempts to impose a constraint that exceptions are handled
521non-locally. All biological systems impose this constraint because of
522how it produces a superorganism that is more intelligent and robust than
523if its individual components were individually intelligent and robust.
524Advanced decentralized computing systems also impose this constraint; it
525is a foundational principle of Erlang.
526
527Another principle important probably is that in order to learn a lot
528of things you ought to be independently generating them yourself;
529the fact that someone has generated something and transmitted it to
530someone else does does not mean that they transmitted the generator;
531transmitting the generator between people may have more to do with
532copying the environment in which the independent generation occurred;
533mathematics provides students an environment in which to independently
534re-discover the fundamental theorems; but mathematical education outside
535of universities does not seem to understand this principle even in
536schools that feed top universities. Students are fed the theorems to
537memorize and use without even being fed the raw material from which
538the theorems were originally derived. Thus they are optimizing to
539demonstrate a false affectation of mathematical education. Gresham's
540Law again. Erlang illustrates the structure of passing the generator as
541well as the data.
542
543
544Tue Oct 31 01:59:34 PM EDT 2023
545
546Rappers are only really good at styling up content that they copy from
547other places. They generate novelty only in style, they do not generate
548novel content. Novel content is generated places other than hiphop and
549then incorporated there. People who are competing in social spaces
550for the best content do not put that content in hiphop style. People
551competing in social spaces with hiphop style are not competing on
552content and do not bring dense content into the competition.
553
554
555