diff options
author | Gordon GECOS <u@adam> | 2023-11-01 11:46:30 -0400 |
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committer | Gordon GECOS <u@adam> | 2023-11-01 11:46:30 -0400 |
commit | aeaf45d8c5d27fda36545cd6c716c4d7e4e53658 (patch) | |
tree | 7b252eaca2258f4281e1afa89a6344dd928111f7 | |
parent | 10dbc78b4f81ef77a7cbb5326a153fa19e121671 (diff) |
human-communication.txt
-rw-r--r-- | human-communication.txt | 82 |
1 files changed, 42 insertions, 40 deletions
diff --git a/human-communication.txt b/human-communication.txt index fd0fa33..cea0e63 100644 --- a/human-communication.txt +++ b/human-communication.txt | |||
@@ -29,36 +29,37 @@ they have the "sense" that data structures lack. They have the | |||
29 | power that data does not have, to transmit knowledge rather than | 29 | power that data does not have, to transmit knowledge rather than |
30 | information. However, it must be understood that programs are highly | 30 | information. However, it must be understood that programs are highly |
31 | sensitive to their runtime environments and for that reason robustness | 31 | sensitive to their runtime environments and for that reason robustness |
32 | is an extremely difficult problem akin to the robustness of life in | 32 | is an extremely difficult problem akin to the robustness of life |
33 | natural habitats. Human cultural programs are high reliability systems | 33 | in natural habitats. Human cultural programs are high reliability |
34 | which means they are chaotic systems that have phase after phase to | 34 | systems which means they are chaotic systems that have phase after |
35 | downshift through (articulated joints over which to roll) as they take | 35 | phase to downshift through (articulated joints through which to roll |
36 | damage and heal from it by phase-changing back up over (computational) | 36 | over) as they take damage and heal from it by phase-changing back |
37 | time (rewriting mental programs to account for unhandled or mishandled | 37 | up over (computational) time (rewriting mental programs to account |
38 | conditions while keeping the programs running continuously in a degraded | 38 | for unhandled or mishandled conditions while keeping the programs |
39 | state). Human cultural programs are far beyond what average or even | 39 | running continuously in a degraded state). Human cultural programs |
40 | elite programmers can hope to construct; they have been constructed | 40 | are far beyond what average or even elite programmers can hope to |
41 | by one-in-a-million prophets who were able to fully absorb their | 41 | construct; they have been constructed by one-in-a-million prophets who |
42 | entire local culture and reprogram themselves individually based on | 42 | were able to fully absorb their entire local culture and reprogram |
43 | reverse engineering that culture to become (themselves, as individuals) | 43 | themselves individually based on reverse engineering that culture to |
44 | generators of self-propagating generator-regenerators. Their programs | 44 | become (themselves, as individuals) generators of self-propagating |
45 | are constructed in such a way as to be rewritten generation after | 45 | generator-regenerators. Their programs are constructed in such a way |
46 | generation according to the local runtime environment, while preserving | 46 | as to be rewritten generation after generation according to the local |
47 | an evolving kernel to re-generate slightly adapted kernels again and | 47 | runtime environment, while preserving an evolving kernel to re-generate |
48 | again in new environments -- in such a way that the kernel picks up | 48 | slightly adapted kernels again and again in new environments -- in |
49 | each new environment and carries it into the next without losing what | 49 | such a way that the kernel picks up each new environment and carries |
50 | it learned of the previous environment -- that is their robustness. It | 50 | it into the next without losing what it learned of the previous |
51 | is the same as the genetic principle of DNA described by Schrodinger | 51 | environment -- that is their robustness. It is the same as the genetic |
52 | but most especially like the artificially bred/genetically engineered | 52 | principle of DNA described by Schrodinger but most especially like the |
53 | DNA of the immune system's antibody-generating cells. These have | 53 | artificially bred/genetically engineered DNA of the immune system's |
54 | mechanisms that control the production of novelty, localizing it to | 54 | antibody-generating cells. These have mechanisms that control the |
55 | one part of the DNA strand, while circumscribing every novelty with | 55 | production of novelty, localizing it to one part of the DNA strand, |
56 | proof of provenance used to protect the system against foreign | 56 | while circumscribing every novelty with proof of provenance used to |
57 | novelty (a single recognizable DNA strand that is the same for every | 57 | protect the system against foreign novelty (a single recognizable |
58 | antibody; that is, its coded protein has a strong chemical binding to | 58 | DNA strand that is the same for every antibody; that is, its coded |
59 | a matching protein in the immunohistocompatibility complex providing | 59 | protein has a strong chemical binding to a matching protein in the |
60 | the filter mechanism of auto-immune tolerance). The word kernel is to be | 60 | immunohistocompatibility complex providing the filter mechanism of |
61 | interpreted as in the algebraic structure: preserved across a morphism. | 61 | auto-immune tolerance). The word kernel is to be interpreted as in the |
62 | algebraic structure: preserved across a morphism. | ||
62 | 63 | ||
63 | In a literal kernel, the DNA sequence in the seed's nucleus is a literal | 64 | In a literal kernel, the DNA sequence in the seed's nucleus is a literal |
64 | algebraic kernel, in an algebra of sexual reproduction that includes | 65 | algebraic kernel, in an algebra of sexual reproduction that includes |
@@ -69,16 +70,17 @@ phase which gave the next level of meta-advantage in information | |||
69 | accumulation as group-shared emotions applied distributed computation | 70 | accumulation as group-shared emotions applied distributed computation |
70 | to sensory information turning e.g. individualized sight into area | 71 | to sensory information turning e.g. individualized sight into area |
71 | surveillance; that super-organism was again jettisoned when Humanity | 72 | surveillance; that super-organism was again jettisoned when Humanity |
72 | transitioned into its cultural super-organism phase; but remnants of the | 73 | transitioned into its cultural message-passing super-organism phase; |
73 | old system always exist and indeed exist as the foundations of the newer | 74 | but remnants of the old system always exist and indeed exist as the |
74 | systems and abstractions are leaky and the new stuff only has to work | 75 | foundations of the newer systems and abstractions are leaky and the new |
75 | just-better than the old stuff so it isn't ever all the way there -- you | 76 | stuff only has to work just-better than the old stuff so it isn't ever |
76 | know how it goes. So capitalism was founded on the conceptually very | 77 | all the way there -- you know how it goes. So capitalism was founded on |
77 | different property relations of feudalism, which only slowly shifted to | 78 | the conceptually very different property relations of feudalism, which |
78 | match the needs of the capitalists, without necessarily losing their | 79 | only slowly shifted to match the needs of the capitalists, without |
79 | old-timey words and old white men with robes, or even the fact that some | 80 | necessarily losing their old-timey words and old white men with robes, |
80 | people get to force other people to fight in front of them and a spot | 81 | or even the fact that some people get to force other people to fight |
81 | in the back is the foundation of political power. | 82 | in front of them and a spot in the back is the foundation of political |
83 | power. | ||
82 | 84 | ||
83 | Haskell monads show us how algebraic morphisms are as intuitive as | 85 | Haskell monads show us how algebraic morphisms are as intuitive as |
84 | quasiquotation. Thank you Mr. Quine. But these are all just simple | 86 | quasiquotation. Thank you Mr. Quine. But these are all just simple |