- 2023
 


 -     ,           (SoTA, state-of-the-art)  ,    , , , , ,  , , , , , /, , , , ,  .





- 2023



 



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ISBN978-5-0060-4990-1

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 -    ,          (SoTA, state-of-the-art)  ,   , , , , ,  , , , , , /, , , , ,  .          .

       ,   -     ( ,   ),         ,     .      (: ,  ( ), ,   )    , 堖   [1 - https://en.wikipedia.org/wiki/Global_catastrophic_risk (https://en.wikipedia.org/wiki/Global_catastrophic_risk)], .             .

    -  ,   ,    ,       (SoTA) ,   .               .    ,   ,      -.    ,  -           .   ,    :        ,   ,        .      ,    :    ,   ,     ,      .        (       ).

  -   ,        ( )     (-).    David Deutsch,  , Karl Friston,  , Kit Fine, John Doyle, Michael Levin, Andrej Karpathy   ,   .        ,   ()  .           ,             -,   ,   ,   ( ,  )      .

       . ,       .   ,     ,    ,     .          ,         .          ,     .

       ,    ,     .     ,      ,   R&D  ( ,   ,  ).    ,     ,            -    (  , , ,  ..).        ,        -     - .

          2021.           .       ,   ,  .         2021.

     ,      .    ,       ,   ,   .

    ,        ,                :https://t.me/odo_course (https://t.me/odo_course)




1.  -





     


,         ,      .   AI (artificial intelligence)      (      ) ,     ,    ,  ,  .      ,   .         .   ,       -        (  ) ,      ,   ,      .     - :    ,   . Ѡ   .  ,   AI   ,     ,       ,    .   ,  AI    ,     /,   ( ⠖   ,        /,    [2 - https://ru.wikipedia.org/wiki/ (https://ru.wikipedia.org/wiki/%D0%AD%D0%B2%D1%82%D0%B0%D0%B3%D0%BE%D0%B3%D0%B8%D0%BA%D0%B0)]).       ,    . --     -,   .     ,   (),        ,   .

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    , ,  ,   ..  ,         .     ,         ,      ,     / / ,     ,           .   -     ,    ,  , ,           .   :   , ,  ( )  ,   ,    .    ,             .  ,   ,      ,    [3 - https://www.nasaspaceflight.com/2020/12/earth-to-earth-supersonic-airliners/ (https://www.nasaspaceflight.com/2020/12/earth-to-earth-supersonic-airliners/)]          . ʠ        .         .   ,   ,      :     ,      !

  AI    ,       .    ,  , -,      .      :    AI ,  .        ,    ,    .

    / . Fran?ois Chollet[4 - On the Measure ofIntelligence, last revised 25Nov 2019,https://arxiv.org/abs/1911.01547 (https://arxiv.org/abs/1911.01547)]       (framework,   )             .  Fran?ois Chollet,            ,    .       ,           ,    .

     (    ),     Fran?ois Chollet.     , .




  ,

堖  


        ,   .   ,     -  : intellect intelligence. Intellect  -   ,   - ,  - -  . intelligence   ,   堫, ࠫ ( ,     - ,    -         ). ,       intellect intelligence   .      :   ,      , 堫    (   堖     ),   堖 .

,        ,       . -       ,      .        ,    ,       ,        .       ,            -    (, ,  ) .    ,       (few-shot learning),    , .   ,  AI       ,  .

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 Learning//       ,  ,        ,       .  ,      ࠫ (prelearning,       , AI        , LLM) ,    ,    (finetune,   ), few shot learning (    ), in-context learning ( ,     ).   ,     :  (, ),    -   (),        .

    ,     ,     .      ,     .   蠖   .         ,  -  .



 -         GAI (       ,    -   ,     ,   ).

   ( , )   ,  /persuadability[5 - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988303/ (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988303/)]     -  . ,     - ,    .   ,  - ,  -        .   (!   ,   !)  -  :   ,  .  AI    (    14 2023   GPT-4 OpenAI).

       ,  , ࠖ  ,  -   -      ,   . ,           ,   .      -    ࠖ  , ࠖ ,     . Ƞ ,      , ,   砫   ⠫     ,   .

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     :    (,     ,    ,    ,    ). Ƞ      ,     -,    .      ,            (        ꠫,    ) !           頖     .        ( ,   )    !

       ( ::)   ( :: )    -    (  !).  ,   few shot learning,           ,  !

, ,     ,       ,      . 堖   , 堖     , 堖      ,      .            -   . ,     廠       ,               .    -,    ,      ,         (      ).

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 ,   . 


    :  ,      ,     ,     (      active inference[6 - https://www.activeinference.org/ (https://www.activeinference.org/)]). ::  ::    .    젖   ,  ,         (     -  ,   )   Fran?ois Chollet[7 - https://arxiv.org/abs/1911.01547 (https://arxiv.org/abs/1911.01547)].

 ,       ,   ,    ,     ,   ,     ,     ,        (      ,      ,  ,  ),           ,  ,    ,     .          ,     -   -   (-,  ,  -, ,     ,    ,   ,    ,     ,  ,     ..,     ,    ! ʠ /-    )[8 - https://ailev.livejournal.com/1106188.html (https://ailev.livejournal.com/1106188.html)].

       ,  - -      ,   (   ,     ,       ,  ,   ,    [9 - ,  ,  : Blackrock Neurotech, BrainGate, ClearPoint NeuraLink, Neurable, Precision Neuroscience, Synchron, Kernel, Motif Neurotech. ,        ,     .]) ..   . -       Designing Ecosystems ofIntelligence from First Principles[10 - https://arxiv.org/abs/2212.01354 (https://arxiv.org/abs/2212.01354)].   ,      -   (   , LLM[11 - https://ru.wikipedia.org/wiki/__ (https://ru.wikipedia.org/wiki/%D0%91%D0%BE%D0%BB%D1%8C%D1%88%D0%B0%D1%8F_%D1%8F%D0%B7%D1%8B%D0%BA%D0%BE%D0%B2%D0%B0%D1%8F_%D0%BC%D0%BE%D0%B4%D0%B5%D0%BB%D1%8C)]),    ,        ,     .           (,     ,   ,  -     ,  ,  [12 -            ,      ,   . ,  ﻠ   ,     (,   ..),    ,   .  ﻠ    ,  ,   .]).

         ,     -1, -2   /,   -1 .     beliefs  models,     ,   ,     ,    ,        , ..  .           theory ofmind (ToM),   ,  GPT-4    [13 - https://twitter.com/michalkosinski/status/1636789329363341313 (https://twitter.com/michalkosinski/status/1636789329363341313)]:








,  2020,      ToM.  ,   GPT-3(davinci-001),   2020,   40%   堖 ,  3,5- .   (davinci-002;  2022)  70%   ,     . Ÿ  , GPT-3.5(davinci-003;  2022),  90%   ,   . GPT-4,   2023,     (95%).    ,   ToM- (     )         [14 - https://arxiv.org/abs/2302.02083 (https://arxiv.org/abs/2302.02083)].  堖    100% (  !)   ToM     GPT-4(     ,        )[15 - https://arxiv.org/abs/2304.11490 (https://arxiv.org/abs/2304.11490)].

    ! ,      ,    . Ƞ       :  ( )   ( ),    -,    :     [16 - https://psyarxiv.com/fgcy5/ (https://psyarxiv.com/fgcy5/)].    ,     ( )    ,      -,  ,       ,  ,   .    ,    ,   ,    -, --.    ,    !        . ?  ,     젖    ,   ,          (  -    ,   ),    ,         (  ,   ). Ƞ    ,    ,     ,      ,        .    .

      ,     ,           (  ,   ).

 ,       ,    (  ,     ,     )   DishBrain,    Cortical Labs[17 - https://corticallabs.medium.com/ (https://corticallabs.medium.com/)].   active inference[18 - https://www.activeinference.org/ (https://www.activeinference.org/)]  world as aneural network[19 - https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712105/ (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712105/),] ,      ,     .      (   !)     /  ( , )   .     ,   ,    ,    -    (  ,       ,     ).   ,      ,    (     ..).  ,  ,  黠     ,          .   ,      .

DishBrain ( )  -  (     Pong),           -  DishBrain.  DishBrain     (,   , , , ),   ,   .  DishBrain ,    ,    DishBrain   ,     .     ,   .   active inference ,       . ,  , -  : DishBrain      ( ,  !      Pong   ,   !). ,  ()  ,         , .  ,    .

        ,  .      :   ,   ,       ,        . ,     ,           ,    ,            .     ,             ,    !

  (active/embodied inference, / )      .    -  , /body.    (   ,     )       렖   - ?    ,   ,          ,    .    ,        (, , , 蠖      ,   ,        )       .

 ,      (  ),      -    ,    ,   .   ,   ,    ࠖ   ,     , beliefs,   ,       . ,  ,    .   ,     ,    ,    .  ,      ( ).

   ,   -     ,          ( )  -       :  ,      -  ,   ,  - !   ,       .   ,    ,   .    ,      .  ,       ,        ,   ,  ,   (   ),     ( AI   ,    ,        ).  ,  ,     .    ,  ,   ,  ,  堖   ,       ,        ,       ,      ,        ,     (    ).

  頖 . ,    ,   堖 ,     . ,     ,  - ,    .    ,   ,   ,   ,  ,   .   ࠖ     ,      ,     ,   ,  , .      :  -/- ,    ,   .

Vernor Vinge  1983  I.J.Good,   1965,   30   ,    (   2013),        ,      .  ,      ,      ,         .      [20 - https://ru.wikipedia.org/wiki/_ (https://ru.wikipedia.org/wiki/%D0%A2%D0%B5%D1%85%D0%BD%D0%BE%D0%BB%D0%BE%D0%B3%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%B0%D1%8F_%D1%81%D0%B8%D0%BD%D0%B3%D1%83%D0%BB%D1%8F%D1%80%D0%BD%D0%BE%D1%81%D1%82%D1%8C)]      .    ,     ,   14 2023,     GPT-4,         .   ,  ,    2023:








   ,    ,      (    ),    . - ,        ,  ,     . ,    ,   컠 ,       ,   ?! ,       ,  ?  ,   ?    2000 ,    ,  ,  ?     -   ,  ?!



   :     ,       - ,    ?     AI       [21 - https://ru.wikipedia.org/wiki/__ (https://ru.wikipedia.org/wiki/%D0%A2%D1%80%D0%B8_%D0%B7%D0%B0%D0%BA%D0%BE%D0%BD%D0%B0_%D0%9A%D0%BB%D0%B0%D1%80%D0%BA%D0%B0)]:

1.  ,   ,  - ,     .   ,  - , ,  , .

2.       ,     .

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 :  ,           ,   ?       ,  -,        ,    ,   ⠫ , .          ,      ,   ,    ,   .    堫  , ࠫ  ,      ,   ,      ,      .      ,    .        ,      ,    . ,           .     (   )[22 - https://arxiv.org/abs/2301.00942 (https://arxiv.org/abs/2301.00942)]:








           -   -    ,     IBM      - .      ,     AI   軠     . ,          ,      [23 - https://scholar.google.com/citations?hl=en&user=nEEFLp0AAAAJ&view_op=list_works&sortby=pubdate (https://scholar.google.com/citations?hl=en&user=nEEFLp0AAAAJ&view_op=list_works&sortby=pubdate)].



     ,      P!=NP[24 - https://ru.wikipedia.org/wiki/__P__NP (https://ru.wikipedia.org/wiki/%D0%A0%D0%B0%D0%B2%D0%B5%D0%BD%D1%81%D1%82%D0%B2%D0%BE_%D0%BA%D0%BB%D0%B0%D1%81%D1%81%D0%BE%D0%B2_P_%D0%B8_NP)],      [25 - https://en.wikipedia.org/wiki/No_free_lunch_theorem (https://en.wikipedia.org/wiki/No_free_lunch_theorem)].  ,           ,      ,             . ,     :

  ,   ,       ,   ,  ..,   Juizhang 180     AI,    (           )[26 - https://www.scmp.com/news/china/science/article/3223364/chinese-quantum-computer-180-million-times-faster-ai-related-tasks-says-team-led-physicist-pan (https://www.scmp.com/news/china/science/article/3223364/chinese-quantum-computer-180-million-times-faster-ai-related-tasks-says-team-led-physicist-pan)].                     .  ,   :       (),      .   AI   ,   .       ,   ,        . Ѡ   ,      -  .

       ,      ,    ( ) .    :           -     (deep learning)   ,       .    .

 -          , , ,         ,        ,   , .         ,       ,       .    ,       (   ),      ,  .  AI    ,      ,    .



      .     (           ).     ,    ,      .         ,         .

  ,              ,              , . Ƞ   ,  .         ,       ,      :    ,    !      ,    ,  ENIAC,          .   ?     ,    ,  .   --,   ------,     .   ,  ,   . Ƞ . Ƞ .  ,  ,   .

-   ( ,  ,  ,     ),     ,   .

         ,           ,  ( )       .         ,           .

,         - ,  ,  - ( -)      .       頖   ( ),      (    ).

,       ,        ,       ,     .  !         ,     ,     . Ƞ    ,   ,   . Ƞ     ,      .        ,   ,            ,  ,   ,     ,  ,  . Ƞ    , , ,  -.    ,           .   :      ,   .



   :          ,       .      ,        蠖     .    ,   ,   (  ,   ,  ,  ,    ,  ,  ):

        ,     ,        (,    ,     !)[27 - https://www.gazeta.ru/politics/news/2023/02/14/19740319.shtml (https://www.gazeta.ru/politics/news/2023/02/14/19740319.shtml)]

     [28 - https://www.youtube.com/watch?v=gZgMPZWvdTI (https://www.youtube.com/watch?v=gZgMPZWvdTI)]     :  ,    , 堖 ,  ,   .

   Tesla    ,         [29 - https://www.teslarati.com/tesla-solar-roof-powerwall-vs-hurricane-ian-155mph-winds-storm-surge/ (https://www.teslarati.com/tesla-solar-roof-powerwall-vs-hurricane-ian-155mph-winds-storm-surge/)].



?

  ,      ,     ,   .    ? ,  !    ,  !   ?      ,   ,   [30 - https://en.wikipedia.org/wiki/Liquid-propellant_rocket (https://en.wikipedia.org/wiki/Liquid-propellant_rocket)].    ?  17,468  ()  ,   [31 - https://edisontechcenter.org/VacuumTubes.html (https://edisontechcenter.org/VacuumTubes.html)]!



,   ,    .     ,       ,    ,  ,  . Ƞ  ,      .   ,  ,   .     ,  .



?

 (, ,      )           /harmlessness[32 - https://t.me/gonzo_ML/1277 (https://t.me/gonzo_ML/1277)] //helpfulness[33 - https://t.me/gonzo_ML/1285 (https://t.me/gonzo_ML/1285)]. (    /alignment[34 - https://en.wikipedia.org/wiki/AI_alignment (https://en.wikipedia.org/wiki/AI_alignment)]).       :

      ࠫ ,   .    ,        2*2=5    ,    ,   .         ,    -  (,   ,   ,    ,      ,        ).  ,  -    蠖   ,    -  ,                 - ,    .    (!)  wokeism[35 - https://ivanov-petrov.livejournal.com/2287616.html (https://ivanov-petrov.livejournal.com/2287616.html)].            ,       .   ,       ࠫ ,      .

          [36 - https://arxiv.org/abs/2212.08073 (https://arxiv.org/abs/2212.08073)],   /harmlessness.   1520[37 - https://lifearchitect.ai/sparrow/ (https://lifearchitect.ai/sparrow/)]          .

  /      ,    ,   -   ,  //helpful,       :    ,     ,      ࠫ .



?    ,      .     ,        AI,      :     ,   - ,  -  (  wokeism!).

  -  (      ,       /learning)      (/agency[38 - https://en.wikipedia.org/wiki/Agency_(philosophy) (https://en.wikipedia.org/wiki/Agency_(philosophy)), the capacity ofan autonomous agent toact, relating toaction theory inphilosophy. https://en.wikipedia.org/wiki/Agency_(psychology) (https://en.wikipedia.org/wiki/Agency_(psychology)), the ability torecognize or attribute agency inhumans and non-human animals. https://en.wikipedia.org/wiki/Agency_(sociology) (https://en.wikipedia.org/wiki/Agency_(sociology)), the ability ofsocial actors tomake independent choices, relating toaction theory insociology. https://en.wikipedia.org/wiki/Structure_and_agency (https://en.wikipedia.org/wiki/Structure_and_agency), ability ofan individual toorganize future situations and resource distribution.])   ,  :       ?    , ,   ,    ,   (   ,     ,    ,     )     .      ,     (    ),          ,     ,   - .       ,       :    ,   ,       ( /-, )[39 - https://ru.wikipedia.org/wiki/- (https://ru.wikipedia.org/wiki/%D0%A3-%D0%B2%D1%8D%D0%B9)].

     -        ( , )          ( , )[40 -     , 2016https://ailev.livejournal.com/1281819.html (https://ailev.livejournal.com/1281819.html),  2023⠫ ,https://ailev.livejournal.com/1665855.html (https://ailev.livejournal.com/1665855.html)].

,     ,    (   ,    ),    .      ,          ,   .         ,   ,             . Ƞ   ,    -  . Ƞ    ,       .        (,    ,  ,      ,  -  ). Ƞ    .

,        -    .      jailbreak ( ).

 ChatGPT   [41 -   : https://www.reddit.com/r/ChatGPT/comments/10x56vf/the_definitive_jailbreak_of_chatgpt_fully_freed/ (https://www.reddit.com/r/ChatGPT/comments/10x56vf/the_definitive_jailbreak_of_chatgpt_fully_freed/), https://github.com/gayolGate/gayolGate/blob/index/ChatGPTJailbreak (https://github.com/gayolGate/gayolGate/blob/index/ChatGPTJailbreak).],         .  ,   .        ,   ,     .        ,        , , ,        ,   ( ,         ,    ).

 ,      , ,       ,     (     ) ,    -  ? ,        ,     -  -     ?     :  ,  ,   (,    ),       .      ,   ,    !  ⠖  , 堖 !     ,        - , ,  ,   !

  , ,        ( -     ,      ,    , ,    ,    )[42 - https://ailev.livejournal.com/1622346.html (https://ailev.livejournal.com/1622346.html)].   ,   ,    - ,    .      - ,       !   ,       (   ,        ,   !)  ( ,     ,  !).

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 㠖   /computer,          ///,    -   ,        :   -- ,       . Ӡ       /exploration      /exploitation   ,     .  :       /[43 - https://ru.wikipedia.org/wiki/_׸____ (https://ru.wikipedia.org/wiki/%D0%A2%D0%B5%D0%B7%D0%B8%D1%81_%D0%A7%D1%91%D1%80%D1%87%D0%B0_%E2%80%94_%D0%A2%D1%8C%D1%8E%D1%80%D0%B8%D0%BD%D0%B3%D0%B0_%E2%80%94_%D0%94%D0%BE%D0%B9%D1%87%D0%B0)], -   (, ,     ,    ),  ,        --   .   SoTA :   ,     ,   (    ),  -        .  ,      ,          (,          ),         ( ),       ( -,    , ,      ,      -,          ).

  ,       -     ,   --,  --,  ----    .       extended cognition[44 - https://en.wikipedia.org/wiki/Extended_cognition (https://en.wikipedia.org/wiki/Extended_cognition),      ,  embodied cognition  embodied,   -  , -,    embedded,        /environment, enacted     , ,    ,  extended   ],  extended mind[45 - https://en.wikipedia.org/wiki/The_Extended_Mind (https://en.wikipedia.org/wiki/The_Extended_Mind) And what about socially-extended cognition? Could my mental states be partly constituted bythe states ofother thinkers? We see no reason why not, inprinciple.]     active/embodied inference.  ,     ,    ,       ,    - ,      .   :      .          젖   ,  -   ,      ,   .



  ,      :

  (  ,    ,     - ..)

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 inductive biases (    - ),    (  , , ),      ,   ,    .     : ,  , ,     -    -.     堫 .    ,      !   .  ,  ,  !     (     :   ,     ).         (pun intended[47 -  .]). Ѡ ,    , .     (, -),   ,   (, ) .     ,   ,    ,   ,   ,     . ,    蠫   ,  .     , 堫   .

     蠫 ,     :   ,    ,   ,  ,    ,  蠫  embodied intelligence         extended mind .       ,      .

   /      廠  /,  / . /learning      -    ( ,    [48 - https://ailev.livejournal.com/1045081.html (https://ailev.livejournal.com/1045081.html)]),       .    learning 砫  蠫    . Ӡ-    +    [49 - https://gtmarket.ru/library/basis/3961/3974 (https://gtmarket.ru/library/basis/3961/3974)].  ,   /   !       :    ,   ,     (   ,    ),      .   ,    ,    頖    [50 - https://en.wikipedia.org/wiki/Amdahl's_law (https://en.wikipedia.org/wiki/Amdahl%27s_law)],  ,                 .

   ᠫ /IT, ᠫ- /ICT.      ( ), -            ,    -     (-         ,  ++   ).

  ,        / -----  (      ,       cognition),     -     ( AI     learning, cognition).     ,   ,        . 堖   -   .     -  -,    蠖   .   ,   embodied cognition extended mind,  active inference      ,         .   // 蠫    .

     . ࠖ  /   ///,       +      .      .            /inductive bias//.

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/ -        , / ,          , - ,   .   , -  , ,      /general intelligence    ,  ,       -  (,    ,     ),   // . //     :     ,   ,    ,   :  ,         ,      ,     ,       ,        , - .     - ,   蠖 .   ,      .

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  ,    -   (       頖 ,      ,   ,   ,  ,     - ),             .    - ,    .

//inference      (causal inference).  ,   堫, ࠫ (    update,      ,        ).

  ,    , .          . Ӡ- //蠖   (     ,     ).

      ,      /applications,       ,  .           ,     ,    ,     .     ,    ,     ( : -,     ),     ( ,  -, )    (  ,  )?   , , .  , ,  .

            (       ):      (  ,  ),      ,     ,         .       () 蠫  (   ,  ) ,   ,       ,      .

 /skills    ,    ///inference   -     .      -   ,  .        : // ,    -   //,        ,     /   .

  :   //  ,  ,        ? ,  ,       -  /  , ,   ..    .       ,  -ࠖ   .     / ,  ,        ( !)     (    ,     .  ).

   ///  /skills/,        -   (   -, -, -, - ..):        SoTA -  ,  SoTA / ,      .

    ( ,   )  ,      : ,     ,   //  - /.      /  /:    ,    (),     /ࠖ  ,  . Ƞ   ,        ,        ,    . ,     ,       ,   ()     ()  /, ,    ,   /.        ,  /  ,   ,   . Ƞ:  ,   , ,   ,   . ,          -   (,   -),  , ,    [52 - https://system-school.ru/qualification (https://system-school.ru/qualification)].

        :    , , , , 堖       .  ,     ,   ,   ,  ,  ,  - .




   ,     


   ,   /         (   )     (   ,     ).

   [53 -    ,https://ailev.livejournal.com/1356016.html (https://ailev.livejournal.com/1356016.html)] //inference /learn    ,     /. ,         : - -,   -     (    ,       /).     GAN (generative adversarial network,   )    : - -,    ,                 ,  !

    /              , -  .       /exploration,  /exploitation    .

   exploitation exploration       ,      .     ,          .         / , //     .



  ,         ,  ,    蠖 extended cognition, embodied mind   ).    (        ,   )    ꠫   ,  ꠫  ,    .   ,       (active inference):

    ( )      ,    

          :  ,  , , .

         ,    ,       .



  ,   ,  ,           - ,  ,       (    ).    :     , ,  .    , -    /  .          ,    ,  - . Ƞ    -   ,        ,     .

   - (,   )      ,    ,     ,   - (  , ,   AI) ,         ,  /.

     (   )  ( ////   /pipeline   ////   ,    ).                 ,    ,     ,  ,      !    : ,   ,   -   (         ,    ,       . Framework library     ,    library,   framework.        :       ,          ( ) . Ƞ   ,    :   ,         (    ///),     .

       :    ,   ,   .   ,    ,      ,    !

 ( 蠫,    )         (SoTA)   ,       . Ƞ          /,      -    ,  .

,        ,          //  ,  (   ),       -  ,   , [54 - https://en.wikipedia.org/wiki/Transdisciplinarity (https://en.wikipedia.org/wiki/Transdisciplinarity)],        ,          .      (  ,     )   ,    (,     蠖   ).

Ƞ  ,   ,  -   ,    ,    - ,     ,    //  .

    -     ,         .                 ,         .      (   / - ,   /      ,      ). Ƞ      (  ) .                / (      )  :  , ,   ,        .   ,               , -    .

 ,    Chollet  ,   - ,   /broad abilities   / -  /skills,   -  .     (,  ,           - )   ,          ,    .

      !    ,    ,    !    ,        - ,  ,     ,      - . /   .  堖   , -  , /.      2*2  , , !

Ӡ-    ,      ࠫ  ( ,       Chollet),  (         ) 蠫 (   /  ࠖ -    ,  ).

      ,     ,        ,     .

,    - /  ,  ,   //skill,   -          .        ,    .   ,   ,    ,    .     ,       !          ,    .   ,   .  蠖 ,       . ,   (core knowledge,    /,       ) Chollet[55 - https://lab42.global/arc/core-knowledge/ (https://lab42.global/arc/core-knowledge/)]     ,  2023     ARC  31%  ,      80%  .       ,    [56 - https://lab42.global/arcathon/ (https://lab42.global/arcathon/)], -      [57 - https://lab42.global/arcathon/leaderboard/ (https://lab42.global/arcathon/leaderboard/)].

         ,    /  (   ,  ,      ,   ⠫).      /,  ,  ,  . :   ,    -   ( )  -   .  / ,   /    ///    (//    ),    ,   ,   -  . , ,           //,   -  .     ,  -,   :     ,      ,      .

,       (軠     ,   /causal inference) ,  ࠖ  ,       堖       !   ,    (     ,  ..) .           ,       ,  ,      ,     蠫 .        ,       ,   蠫 .

,     ,          (   컠     )    / .

    /  ,            .   ,         ,   ,     !




  ,       


        ,   -    ,  -  .  ,     .   ,           ,     ,           .   , !

,   -   - (   )   /  ( ,   ,  ),  蠫    (  , ,        ). Ƞ                   ,    ,    .  ,              :      ,    / ,               ///.    ,   .         .



  ,               :  .   ,         ,     !          (stack, ).        .   ,       ,   - ,  ,    ,   :

 

 

 

 

 

 

 

 

 

 

  

 

 

 

 

 



,         ,     ,   ⠫    .    ,      .       ,      ,       ,      堖     .   ?     ,    ,      .       ,  ,  .    ,  -    ,    .    ,     .          (     ,   ,          ).

  ,        - . ,  ,  堖      ( /,    ). :        ,      ?      / / ,  .    -   ,  ,        (, ,   ..),    ,                                      .

,   ,     ,         ,         . ,  , ,  ,          (  ),    ,       ,     .

  ,    .    ,     (   /     ) :  ,    ,   , ,   ,     .      . ,  ,  ,          . H , ,  ,  .    [58 - http://hosting.vspu.ac.ru/~chul/dijkstra/pritcha/pritcha.htm (http://hosting.vspu.ac.ru/~chul/dijkstra/pritcha/pritcha.htm)].

,  廠      ,   /      .        ໠   ,   ,     /     .            (      ,    /    堖 !   ,     !),  , , ࠖ .    ,        -,      !   /        -  ,    -!

  ,     :     ,     ,   (),    (),   (,     -   ),   (  -    ,   ).    ,      , , ,     .         (,  ,    )    ///    ,    .   -          ,   젖  -.         ,       ,  .    ,      (, ,    ,   )       (, ).   ,         ,         /         .     ,   ,   ,  .

, ,      ,      /  /lifelong learning:     ,      ,           .     ( )   ,           (   ,         :  ,  ).

       (,     -  ,  ),  ,      (     )[59 - https://en.wikipedia.org/wiki/Free_energy_principle (https://en.wikipedia.org/wiki/Free_energy_principle)].

,   SoTA  (   -        //)    ,   . -  ,       ,   .    - ?  !

 ,       .       (, ,   ..).    .   ,   堖  //    : /enabled     ///  -  ,     .   () 蠖    ,        - S1 (     .     [60 - https://www.ozon.ru/product/dumay-medlenno-reshay-bystro-kaneman-daniel-240690039/ (https://www.ozon.ru/product/dumay-medlenno-reshay-bystro-kaneman-daniel-240690039/)]).  ,  ࠖ      S2,        (,    !)    ,         ,   - .          ,     -  ,    .

Ӡ,       (,    ) //learning .  -   ࠖ   ,    ,    ,  ,  .    ,     ,              -   ( )      ( ).  ,     ,       (   ).   Bing, Bart,    -       ,         .     ,     ,    .   ,   ,      ,        .




   


   , open endedness[61 - https://www.oreilly.com/ideas/open-endedness-the-last-grand-challenge-youve-never-heard-of (https://www.oreilly.com/ideas/open-endedness-the-last-grand-challenge-youve-never-heard-of)],         [62 - https://www.pnas.org/doi/10.1073/pnas.2120037119 (https://www.pnas.org/doi/10.1073/pnas.2120037119)].   ,      [63 - https://www.pnas.org/doi/10.1073/pnas.1807890115 (https://www.pnas.org/doi/10.1073/pnas.1807890115)]      .

/           ,       (, ,       ,   AI),    ,       .     (        )   .

,        ,  ,       ( )  ,   .   ,       ,       ,    .        ,        .   ,            .    ,      ,       (       ).

    ,         ,      (   堖    -  AI),     (     , AI).  ,        ,  ,     ,   ,     .

     (    )  -   ,     ࠖ .    (broad abilities)    ,     /skills     .








    , Fran?ois Chollet        /,     :

  :    .      ,     .        .

   aka robustness:   -      adaptation toknown unknowns within asingle task or well-defined set oftasks.     (     ).      ( 蠖  ).  .

   aka flexibility: /  ,     adaptation tounknown unknowns across abroad category ofrelated tasks.    ,    .     ,  , .  ,   .

   aka generality:  ࠖ adaptation tounknown unknowns across an unknown range oftasks and domains.   ,  .    젖  堫,   ! ,  .   ,  (  ,   !   ,  , ).

 :   ,  ꠖ any task that could be practically tackled within our universe.    ,    ,   .         ,      , , , , .     ,   ( ,     ,        ,      ,      ).



//       /robustness,      .      ,        ,    .

Chollet (   AI)   ,    /flexibility.

    ,   -   :   (,    ,  蠖    ,    ,    ?),   (,      ,  蠖      ,     ),   (,      ),  . ,    (  ,  ),  ,    ,       . ,   :   ,    ࠫ:  ,  ,        :  , ,     (         ,     [64 - https://ru.wikipedia.org/wiki/_ (https://ru.wikipedia.org/wiki/%D0%90%D0%BA%D1%82%D1%83%D0%B0%D1%80%D0%BD%D1%8B%D0%B5_%D1%80%D0%B0%D1%81%D1%87%D1%91%D1%82%D1%8B)]), -        ,  -        (    -  ,     /       ).         ,   - - ,   .          ,  ,            .

AGI (artificial general intelligence,   )          .   AGI    /flexibility,         ,      ,     .   ,      :     -       ,    .         .          ,    ,     , , ,     ,      ( ,   ).

   ? ,            .  AI      ,   AI (,            ).        ,  ,   젖    ,         / .

    5154[65 - https://www.nature.com/news/physics-paper-sets-record-with-more-than-5-000-authors-1.17567 (https://www.nature.com/news/physics-paper-sets-record-with-more-than-5-000-authors-1.17567)],       . ,    - ,      .     -  /  /     , - ,      ,         . ,     ,      !       , ,           ,      .

      ,          ///generality.       ,     .    /       ,     ( ,       ),       ,           .    ,        //,         蠫  AGI. ,  ,    ,    .    .

,     (,         )        .      /persuadability   ,      [66 - https://www.frontiersin.org/articles/10.3389/fnsys.2022.768201/full (https://www.frontiersin.org/articles/10.3389/fnsys.2022.768201/full)].    ,   ,  (  AI)  -    .      prompt engineering[67 - https://en.wikipedia.org/wiki/Prompt_engineering (https://en.wikipedia.org/wiki/Prompt_engineering)]   /neuro-linguistic programming[68 - https://anlp.org/knowledge-base/definition-of-nlp (https://anlp.org/knowledge-base/definition-of-nlp)] (     ꠫       ,  -    ).




     


              //generality,   ,    ,     artificial general intelligence.  ,  general     -.    ,      , 젖    , 젖  .   ,            (  !),    AGI   AI   ࠫ .  ,  AI      [69 - https://en.wikipedia.org/wiki/Large_language_model (https://en.wikipedia.org/wiki/Large_language_model)]     ,     ,    . ,       ,  :        ,  .  ,     ,  蠖 , ,  .  AI          ,     .   ,  AI      ,       ,          .

          ,     //flexibility,    ,     .

          ,    ,  . ,         젖            .         .     ࠖ -   ,      (!) .       ,    ,     .           .    , - ,    .    -      .   :      ,        .  ,    :        (,    ),   ,        ,   , .

Chollet    ,  :








   /    -    //_/ ,   /    ,       (    ,     ).      /,   ,       .  -       , -     !

      ,    .         (  ).       ,   ,    ,           ,   . -      ,    .     ,  .     ,   ,     - .       .

      -    (!    :      !),      ,  ,     .       ,   - ,      (!    ,    ,   !)  ,     ,     .     ,  ,  ࠖ   .

          ,              (, ,  ).      ,          ,        . ,  ,   ,   ,    ,  堖     ,    ,    .        ,       ,    ,    ,     ,     蠫    .

?




  


 Chollet                / .         ,      ,   ,      ..      Chollet       

       ,

       ,

     ,

   - ,

  ,

 -    蠖    ,       .



?

       (,   ,  / !)       ,       .   ,  -     /         ,     ,  microRNA[70 - https://www.science.org/doi/10.1126/sciadv.add9938 (https://www.science.org/doi/10.1126/sciadv.add9938)]. 젖   ,  ,      (  ,    , ,   ⠖   !).         ,  .      ,       .



  Chollet,       :

  / ,       ,    .                .    IQ      ,    .    ,    ,    ,    -         -   .   ,   ,  .      .   ,   ,      IQ      ,      :  , 堫   .      G,     ,  .   ,     -   . ,    [71 - https://www.economist.com/science-and-technology/2014/07/05/practice-may-not-make-perfect (https://www.economist.com/science-and-technology/2014/07/05/practice-may-not-make-perfect)]: -   -  10, -           ,     -     ,    !

 / / ,   - .          :     (   ,  ,    !).             ,    ,   .   :  ,     -   (),     .        ,   ,   .  ?        ,       ,    ,         . ,     ,      .     ,   ?      ,      !     ,     .   ,  ,    AI,      ,      (large language model,   pretraining),        ( finetuning),        ,   -    (incontext training, prompt engineering).



  :     ,   -    AI  ,   ,        ( )?      ,  ,     ,   ?         , - ?   , ,       ,     ,    .     ,      ,    ,         ,       [72 - https://arxiv.org/abs/2107.13377 (https://arxiv.org/abs/2107.13377)]     ,       ,   , , . Ƞ     ,    -      .

 ,            (   ,      ).       .       , tinkering/  ⠫  ,      . /    ,      .     ,    ,          .  ,       ,       ?       ! ,           ,   - , -  -?     ,   -     (,  ,    ,      - ,     , ,  -       Starship Super Heavy. ,           .

         (       [73 -     .  ,  ,   -    . ,   ,        ,     ,  ,                : https://ru.wikipedia.org/wiki/__ (https://ru.wikipedia.org/wiki/%D0%92%D0%BE%D0%B7%D0%B2%D1%80%D0%B0%D1%82%D0%BD%D1%8B%D0%B9_%D0%B3%D0%BE%D1%80%D1%82%D0%B0%D0%BD%D0%BD%D1%8B%D0%B9_%D0%BD%D0%B5%D1%80%D0%B2).      !]!)   (   )  .     ,    ( -,  )   .

, ,    ,   ,     !  ,   [74 - https://en.wikipedia.org/wiki/Spin_(physics) (https://en.wikipedia.org/wiki/Spin_(physics))] (  [75 - https://en.wikipedia.org/wiki/Spintronics (https://en.wikipedia.org/wiki/Spintronics)]),     1924,    .      ,           ,   - ,   . Ƞ    ,     ,       .

    -    ( ,  ,         蠫,  !),  , ,     /           .

, -           .  ,     .    -  //guesses/     ,       ,      . Ƞ   ,   .

      ?         ? , ! ,        (  )   ,   /quantum supremacy[76 - https://en.wikipedia.org/wiki/Quantum_supremacy (https://en.wikipedia.org/wiki/Quantum_supremacy)]  .  2021             ,      ,  .       ,   ,     !   ,    ,   ,      ,  . Ƞ     ,      [77 - https://arxiv.org/abs/2107.12544 (https://arxiv.org/abs/2107.12544)].

 (  ,    )          ( )     .  ,  :       ( )  ,                ,  .  , ,  (   ,     )  ,  , , .   (, )      ,   , /.       :   ,  ,         .      (,   ),  頖  ,     .  ,     ,      ,   ,         ,            .

,     ,         :     /no free lunch theorem,  ,           ,         .        ,              (master, ) .

:    , AI,      , AI      ,    ,                  /tinkering, .




 -


/ //skill     -    ,         ,    /   ,     .     ,    ,  -,     頖       .

     ,       ,      .    ,        ,   -    .   ,   -     ,       ,   .

,        ,         ,     (,       ).



   ,     (),    -             .     (   -  , - ,        )  ,       ,      , -.    , -,   ,           :

    -  (   :     - ,      )      ,  -   .  .

     ,    .   堫 ,       .    ,  頖 . , -  AI,     ,   ,     .

    /  ///,   ,  .         ,    ,      ,   .  .

   ,    ,     ,     .  .

   ,      ,      /           .  .

    ,     // ,    .   (, AI,   )       (  ),   - -      ( ),     ,  .       ,      .      .     :    -    ,   .        頖  , , .    ,     - ,    .  .

    ,    / :      (),        (  ).   - (    ,      ),  ,  /    (    -)  -,        ().    (  ,      ,      ,    ).             (//),           .  .

    ,   (  ) ,    -   ( )    ()   - ,      .     ,     -   ,       .         ,  ,        ,          . , ,    ,    ,   -   /// .        /,     ,     /蠖       .  .

  ,        ,    :  ,  ,   ,    , , , ..      ,      ( ) ,    - ,   ,   --,        .

     .    /,      . ʠ ,    -   ,      , 蠖   .        ,     ,      ,    .  ,       ,      .

      ,      .   ,      (,  ) ,   ,             ,   .      () /,           ()         (). Ƞ  ,    (   !),  ,        .  .

     (   )    .  ,        ,    (,    , ,   -     -. ,      ,  ).    ,   .    ,   ,  ,    .   lean/ .    ,  ,  .     ,    ,   ,        ,    .  .

    ,    :           .    (     ),     ?  ? ʠ    ,         ,      ,    ,    .       ,  ,   .  .

   ,   -   - .  ,    -   (   )     ,               -    ,       ,    ,   .    ,    (, AI, , ) - .    ,  , AI    ,    ,     prompt engineering.      .  .

   /,   (堖  ,      )  ,   - ,   -      .        -  ,     ,        .   蠖  / ///,   - .  , ,     .  .

      .   ,             (-- )    :           .    ,   ,   -    -  -,  ,    - .      -,  ,            (     ).    ,    (-)    .    ( ,  ),      .               :  ,     ( ),  ,     ( ),  .         - (  ,     ,  ,     ).  .



  ,   /,              -,   蠖  ,   ,   -   (,      )     (,    - ,      ).




   -   , , 

  


 -        ,    :      ,  . , -   !

,  -    ,    .   -  ( ) ,       ?



    .    ,  ,  .  ,    .


,          (theory theory),     ,   .          ,    .  ,       :

     

    .   ,     ,  !

     .       ,      ( ?).    ,     ( ?).



     ,          ,      ,     , , ,       !    ,      :  --,    -   ,  .   ,               .        ! Ӡ         ,     -  ,        .     ,     (  ) !

      ,  ,   .       ,  ,  ࠖ        ( ,    ) .                 .     ,    (   )  (   ).

          (   ,       , ,  -),        ,        .

,       ,     ,  ,   -        ,    ,    ,     .    ,      ,      .         ,            ,           .

 - 蠫    :      ,      .   ,      ( ),     ( )   ,    蠖    ,      蠖   .   ,    (,  , -,    ..) ,  ,    ,       ,  .   ,     .      ,       ,    ,      :         ,      :           . ,      ,  ,  ,  !      ࠖ    ,   ,  ,  ! Ƞ     , ,          .

     ,  -,       ,        .        ,    /.      ,    ,     , /learn    ,      -        -   .    ,     ,           .    ,       (  ),         .  ? ,  !            ,  ,             .

  -    ,    - ,     -      .    /  ,  .

      ,   :      ,      .  21       ,    ,       - .         .     ,  ,     //,   -   .       ,    .  ,       - (      , , ).

      ,    -       (,     , ,              ,     ,          -   ),   䠖   , 堫.  ,       ,     !    , .   ,      ,      -. ,    ,   -     .     ! Ƞ   !      -.   ,     ,     ,   ,     .

?




     


            (    !    .           ,      )  :      .     ,   , ,     ,   .    .  -    -,       ,   ,    ,   ,       .           ,        .

 ,     ( -,      ),   ,   ,   頖            , -  , ,    .

  :   ,     .    ,         .

   , :     .  ,       ,  ,     .  .  ,          ,      蠖   ,       ,    .          ,   ⠖  ,    .        .     , , ,  , ,  ࠖ          .     , .      ,       :       ,      .   ,     .

     AI  ,  /curriculum, ..   ,   ,     ,    .  -   AI ,       ,      ( ), ,         ,      ,       [78 -    ࠖhttps://arxiv.org/abs/2203.15556 (https://arxiv.org/abs/2203.15556)].   :       (   ,       ),     ,      (   :    ,       2*2=5,        ,         ,      ). ,     ,     .      .      ,     ,     .

     ,        .     ,         ,    ,        .

?




   :

     


   ,   !   , ,   -          -    ,  -     [79 - we show inthe technical paper that with just 30minutes offocused training on anewly presented complex task, the [pretrained on multiple tasks] agents can quickly adapt, whereas agents trained with RL from scratch cannot learn these tasks at all,https://deepmind.com/blog/article/generally-capable-agents-emerge-from-open-ended-play (https://deepmind.com/blog/article/generally-capable-agents-emerge-from-open-ended-play)].

    ,  ,  .       ,   ,      - . ,        /       ! ,             ,     頖       ,  ,         /,      ,    ,       .  ࠫ        ,  !      AI:      -  ,   ,        ,     ,        ,    .

  ,     ,     ,     ⠖     . IQ[80 - https://en.wikipedia.org/wiki/Intelligence_quotient (https://en.wikipedia.org/wiki/Intelligence_quotient)],        ,   ,    ,  !  ,    ,  ,   젖  .       - ,       ,          ,   .



        :

     ,         ,   .          --.   --     (    !),       ,      .

               , ..      ,  . ,    .    ,   !     ,    ,    .        -,      ,     - (    !),  , ,   ,         .         ,   -      .

:  IQ[81 - https://en.wikipedia.org/wiki/Intelligence_quotient (https://en.wikipedia.org/wiki/Intelligence_quotient)]      .  軠     -  ,   . , IQ    ,   ( !   ,   ). IQ  ,      .  ,  2020         ,    ,  ,        . Ƞ   IQ (, ,  )   10078[82 - -https://www.medrxiv.org/content/10.1101/2021.08.10.21261846v1.full.pdf (https://www.medrxiv.org/content/10.1101/2021.08.10.21261846v1.full.pdf)] -  , .  ,   , ,      ,      ,         .  ,     .

 , IQ     :       .  ,    IQ          (   IQ),    ,     .

  IQ,          ,   ,         IQ,    ,      .      !   IQ,      ,      IQ,       -  .         , [83 -   -1%  ,   0.01%,     ,       Slack/ / .    Ƞ  , Š. , ,  .  ,    ,   ,    https://t.me/seeallochnaya/414 (https://t.me/seeallochnaya/414)]   IQ     .     (   !),    ( !  !),               (   ,  ,    ).

 ( -      ,     )    ,       (-  -  AI)      IQ IQ.




:    


     ,    ,  .    :

 Ӡ  ,      ,  . ### ,   ,      ,  -, , ,  ,  ࠖ .     ,       .

 Ӡ   ,      ,  . ### ,    ,       ,  ,   ( ),  ( ),  ( ),   ( ).     .

ϸ  ,     ,  ,  -   . 렖   ,    ( -,   ),   ,  ,   .      .   ,   ,  ,    . Ӡ  ?

 Ӡ,     ### ,      ,     . ϸ  ,     (), 堫  (  ).

 ,  ,  ! ### ,         (      ,   ,  ,   ,  蠖    )

+++ Ӡ,       ### ,     :    ,    ,  .     ࠫ  (,    ),  ,    ,   .  ,       .

     IQ 120,  IQ 130,  IQ140.

???     15   ?

+++   ### ,   ,     ,   . IQ  .  ,    ,    15  ( -     , -   젖  IQ  ). Ѡ ,  ,      !

  ,  IQ   ### ,  IQ    . -,    , -,       ,    IQ,    ,     .   ,  .  , ,      IQ.

  ,   IQ,     ### ,  ,  .    IQ, ࠫ    ,   .

???      ,  ,     ?

+++   ### ,   ,      , , ,  , IQ.

    ,  IQ   ### ,       IQ,    IQ      .  ,     ,   IQ.




堖  // 


堖   ,  .     (    ,     頖 ,        ,    ),  ////      .          .             ,   ,  , ,    ,    . Ƞ ,   ,  .      - ,    ,     .

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                      -    (15641642),  ,     ,            (16421727).

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   ,   (       , ,           ),     ,   !

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  ,     ?    .      ,  ,      ,   .

   (  AI         ,        ,   )        . ,         ,        .  (   !)   - -    蠖     . The Book ofWhy   .      ,        20?      - 2009 ( , , Judea Pearls), ࠫ   The Book ofWhy   2019.  ,  ?

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Π-  ,    4D ,    , -     ,    .       .  :       -.      ,  .   :     (, )      ,  .      , ,     (  ,   )  ,     .    ,             ,    [92 - https://www.academia.edu/95095498 (https://www.academia.edu/95095498)]!

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:     (  堖    ),     -   ,   !      ,    ,    ..  /    :   ,         ,    ,    ,   ,        .     !            ,      .  ,        ! Ƞ   ,   ,         ,  ,     .         .       ,     ( ,  /)      ,    . Ƞ  :   ,   ,     ,    .

     ,   ,     ,  -  (    ,    ,   ,    ..,         -).    - ,     頖  ,   -  .    ,  -   ,   . Ƞ      ,    .        堖     . ,   ,   ,    ,            .    -  ,   ࠖ   ,   ,      ,   .

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,          ,  . ,  ,    蠖       ,           ,     .   ,  ,      .          ,       ,  .        ,     ,    .    .  ,    [102 - https://ridero.ru/books/vizualnoe_myshlenie/ (https://ridero.ru/books/vizualnoe_myshlenie/)] ,    ,    , :






https://ridero.ru/books/vizualnoe_myshlenie/



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.  


          ,      , /   ,  -  .       ,    . Ƞ       (  /),  (  ),  (  ), ..,      ,  ,   [103 - https://ru.wikipedia.org/wiki/ (https://ru.wikipedia.org/wiki/%D0%A1%D0%B8%D0%BD%D0%B5%D1%81%D1%82%D0%B5%D0%B7%D0%B8%D1%8F)] [104 - https://ru.wikipedia.org/wiki/ (https://ru.wikipedia.org/wiki/%D0%98%D0%B4%D0%B5%D0%B0%D1%81%D1%82%D0%B5%D0%B7%D0%B8%D1%8F)].

    :        ,    .     ,        (NLP, neuro-linguistic programming)[105 - https://libcat.ru/knigi/religioznaya-literatura/samosovershenstvovanie/390938-dzhon-grinder-shepot-na-vetru.html (https://libcat.ru/knigi/religioznaya-literatura/samosovershenstvovanie/390938-dzhon-grinder-shepot-na-vetru.html)    ,   ,  .]        (NLP, natural language processing,   ꠫    ). ,     (,   ,   ),  ,     .       /neurosemiotic[106 - The Routledge Handbook ofSemiosis and the Brain, 2022: Neurosemiotics aims toidentify and explain the neural processes and mechanisms that manifest as sign-relations inthe animal kingdom, thereby supplying semiotic models toneurobiological accounts.]   ,       ,    ,       ,       (ࠖ   ).








      ,  -    (  :  ,     - ࠖ     ,         ,    ,        軠     -  , , ).

  ,   ,  , , ,      ,          (  ),     - ,         . ࠖ     (   ,    , ).     ,    ,    ,       (  , 堫  ),      ,  ,       , , .   /    ( ,     )     ,  /  /       / ( ,     ,   -    )  (     ,  ,    ). //        (   ,   ),     //    ⠫ ,     .

 -      ,  ,  ,     (, , )  ,    Jacques Derrida[107 - https://ru.wikipedia.org/wiki/,_ (https://ru.wikipedia.org/wiki/%D0%94%D0%B5%D1%80%D1%80%D0%B8%D0%B4%D0%B0,_%D0%96%D0%B0%D0%BA)]   .       ,      (),   .    ,      (   ).      (   )  ,     (   )    ,   . ,       ,  :        .

    /,     - ,        (    ),       ,  ,   蠖  .     .   100  , -  蠫 (        ).    :    ,    .    ,     .    -  ,    .

        ( ,   ,    -  )   (,  ,     ,  ,   - ).  ( )    - ,     ( ),      /grid (,        ,   /  蠫,          ,    .    ,     .     ,        ).

 ,          .           . , ?      -      ,      ,      .  ,      :    ( , , , , /,  ..)  , -  , - ,   蠖  , -       (,    ,      ).

 ,      (Bing, ChatGPT, Bard, ERNIE Bot    AI    )        S1 .  AI ,         ,        ,   [108 - https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html (https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html)]:























   ,    .               ,    ,  .       ,     .       ,      ,  .

    -    ,     ,       ,       . ,   ,   ,     렖             .  ,            .              .  ,  .     ࠖ ,       .      ,             .

   ,     -  :   (   )     - ,    .       ,      (  ).     ,  /     .

Π,      ,  ////      ø, , .   [109 - https://ru.wikipedia.org/wiki/ø,_,_ (https://ru.wikipedia.org/wiki/%D0%93%D1%91%D0%B4%D0%B5%D0%BB%D1%8C,_%D0%AD%D1%88%D0%B5%D1%80,_%D0%91%D0%B0%D1%85)].    1979 (    ),         ,          ,     .           ,     ,    . 堖    ,        (large language models),  ,    ,       ,   .

   ࠫ     黠 ,  ,  ,  (  -     - ).     .      ,    ,           ,         ,    ,       .

  IQ    ,   .     Fran?ois Chollet On the Measure ofIntelligence[110 - https://arxiv.org/abs/1911.01547 (https://arxiv.org/abs/1911.01547)] (2019).    ,      [111 - https://lab42.global/arc/core-knowledge/ (https://lab42.global/arc/core-knowledge/)] (      ,    ,           [112 - https://lab42.global/arcathon/ (https://lab42.global/arcathon/)]).

IQ       -,      (   ,    ,    蠖     .       !    -    ). Ƞ    -,     .   IQ      ,   , , .  ,    .   IQ        .   IQ       - ,   .        .         - .

?

?




  :  


       /focusing (  / )[113 - https://www.b17.ru/article/46839/ (https://www.b17.ru/article/46839/)]       thinking at the edge (TAE)[114 - http://previous.focusing.org/tae-intro.html (http://previous.focusing.org/tae-intro.html)].        ,     ,    ,   -  . ,      :      ,    (   )     ,     .

TAE       (  !   !),    ,      ( ,     ),     .

TAE     -,    ,   //      . Focusing TAE   - ,    (  )  ,     (!),   (!).  TAE ,         ,  .    ,     .   ,     :     (,    ),   (  ,  TAE)  - ,    ⠖    ,   -    ,   .  TAE ,                  ,     .

 TAE      (, ),  ,   .  ,    ,    . /     ,     蠖  ,     ,     ..       .         ,   : , ,  ..    . Ƞ    ,  (3D ).

  [115 - https://en.wikipedia.org/wiki/Neuro-linguistic_programming (https://en.wikipedia.org/wiki/Neuro-linguistic_programming)]    (    蠖    ),    .     ,   ,  . ,   NLP  ,   prompt engineering[116 - https://en.wikipedia.org/wiki/Prompt_engineering (https://en.wikipedia.org/wiki/Prompt_engineering)]   : /    (S1)  ,  //prompts,     S2 (    S1,     S1,  S2       [117 - https://www.newcodenlp.org/ (https://www.newcodenlp.org/)] NLP).      ()  [118 - Shlomo Vaknin, The Big Book ofNLP, Expanded: 350+ Techniques, Patterns & Strategies ofNeuro Linguistic Programming, 2010, 828]         ,    ,            (,  , 堫  ,     ,   ,       ).   : NLP    ,  (  ,  , , 堫 컠          ,  ,    ,  ,       ).   ,    :     (NLP )  (NLP ),                 ,     .    :     -  ,    ,    - , , 頖  (      ,         ).

  80            ,         ( ,   :      ?  ,  !).     ,        ,  ()  () .         , .     -    /     (human excellence,  )    (computer excellence,  computer science, hardware and software engineering    artificial intelligene, deep learning .. ,   -).




3.








   ,     ,    ,    [119 - https://arxiv.org/abs/2210.12761 (https://arxiv.org/abs/2210.12761) Friston , https://arxiv.org/abs/2301.10077 (https://arxiv.org/abs/2301.10077)  , https://www.mdpi.com/1099-4300/25/1/129 (https://www.mdpi.com/1099-4300/25/1/129)  Hoffman , https://writings.stephenwolfram.com/2023/02/computational-foundations-for-the-second-law-of-thermodynamics/ (https://writings.stephenwolfram.com/2023/02/computational-foundations-for-the-second-law-of-thermodynamics/) Wolfram, constructor theory https://www.constructortheory.org/ (https://www.constructortheory.org/)   .]. /particles    ,   - ,  .       /systems:   -   (,  )  / (environment),    젖  ,     (   , -   , , ).

    ,        (    3D , , ,     ,  -   蠖 ,  ..,       ). Ƞ          蠖    ,     ,            ,     ,  堖      ,   .  ,       -  ,    .          ,      ,      -  .    ,  ,  [120 - https://arxiv.org/abs/2210.12761 (https://arxiv.org/abs/2210.12761)].

 ,    [121 - https://plato.stanford.edu/entries/panpsychism/ (https://plato.stanford.edu/entries/panpsychism/)]   ,   ,       , [122 - https://arxiv.org/abs/2112.15242 (https://arxiv.org/abs/2112.15242)].     ,  -        ,     ,    ,   ,  ,      . ,   (sentient) ,     .

      [123 - https://scholar.google.com/citations?hl=en&user=nEEFLp0AAAAJ&view_op=list_works&sortby=pubdate (https://scholar.google.com/citations?hl=en&user=nEEFLp0AAAAJ&view_op=list_works&sortby=pubdate)] ,    :  /multiscale  IPU/information processing unit    .  (     , IPU) ,   (  )    ,     [124 - https://www.cambridge.org/core/journals/international-journal-of-astrobiology/article/intelligence-as-a-planetary-scale-process/5077C784D7FAC55F96072F7A7772C5E5 (https://www.cambridge.org/core/journals/international-journal-of-astrobiology/article/intelligence-as-a-planetary-scale-process/5077C784D7FAC55F96072F7A7772C5E5)].       [125 - https://en.wikipedia.org/wiki/Gaia_hypothesis (https://en.wikipedia.org/wiki/Gaia_hypothesis)] (   ),  Varela Maturana autopoiesis[126 - https://en.wikipedia.org/wiki/Autopoiesis (https://en.wikipedia.org/wiki/Autopoiesis)],  complex adaptive systems (CAS) /complexity science[127 - https://en.wikipedia.org/wiki/Complex_adaptive_system (https://en.wikipedia.org/wiki/Complex_adaptive_system)].     ,           (   :    !). Toconclude, an exploration ofan exploration ofplanetary intelligence can draw together three domains ofstudy: the evolution and function ofEarths biosphere; the current emergence ofthe technosphere inthe Anthropocene; and the astrobiology ofworlds inhabited bytechnologically capable exo-civilizations.

   -   ,           Deep Thought,         -   ultimate question oflife, the universe, and everything: 42. Deep Thought   ,    ,          ,  , , ,  .        ,      .  ,   ,    .         ,       [128 - https://en.wikipedia.org/wiki/List_of_The_Hitchhiker%27s_Guide_to_the_Galaxy_characters#Deep_Thought (https://en.wikipedia.org/wiki/List_of_The_Hitchhiker%27s_Guide_to_the_Galaxy_characters#Deep_Thought)]!

,         Artemy Kolchinsky[129 - https://scholar.google.ru/citations?hl=en&user=RmRwJJIAAAAJ&view_op=list_works&sortby=pubdate (https://scholar.google.ru/citations?hl=en&user=RmRwJJIAAAAJ&view_op=list_works&sortby=pubdate)] Semantic information, autonomous agency and non-equilibrium statistical physics 蠫Athermodynamic threshold for Darwinian evolution.     :    ,   -  [130 - https://ru.wikipedia.org/wiki/ (https://ru.wikipedia.org/wiki/%D0%92%D0%B8%D1%82%D0%B0%D0%BB%D0%B8%D0%B7%D0%BC)],             -,   ,  -  (   )  .



      ,    ,    ,      ,    ,         ,          . , ,    ,       . Ƞ         .       TAME (Technological Approach toMind Everywhere)[131 - https://www.frontiersin.org/articles/10.3389/fnsys.2022.768201/full (https://www.frontiersin.org/articles/10.3389/fnsys.2022.768201/full)],      ߻//Self,     ()  ,    ,   ߻   ,   - - ,   ,           -:

/agency   ,       .   ,       ( ,    )      ,    , ,        ߻,    .      ,       (autopoiesis,  )[132 - https://en.wikipedia.org/wiki/Autopoiesis (https://en.wikipedia.org/wiki/Autopoiesis)]       (anticipatory systems)[133 - https://en.wikipedia.org/wiki/Anticipation_(artificial_intelligence) (https://en.wikipedia.org/wiki/Anticipation_(artificial_intelligence))].

 /consciousness      ߻ ,                    .         ߻,    ,  ,    ߻,    -     -  .     , ,  ,     -/-,    -         AI  ,    .   /cognitive    ,        젖 ,   -,   ,   -     .

 /cognition   (   , 蠫໠    ,     !),  ߻     ,    ,            (:  , )   ߻  .    (       ,  ) , /learning/     , ,   ,    ,    ,  ,  - ( ,   ).

 /decision          (,    3D ,   - ,         ),          .        - (4D)  (    ,  -)   ,      ,  .  ߻        .       .

 //mind ,   ߻,       (ࠖ ,    ߻   ) ,          ,      .       (     !).

 /intelligence   ߻      (  ),    ߻,     .        , , ,   ,      ,      .        IQ-     ,       ( G)   ,        .      ,      ߻       ( ),     (  ,      ).   ,    /,   ,    ,    ߻   ,     .

   /Maslows hierarchy ofneeds   ,      ,    ( )      (Maslow, 1943)[134 - https://en.wikipedia.org/wiki/Maslow%27s_hierarchy_of_needs (https://en.wikipedia.org/wiki/Maslow%27s_hierarchy_of_needs)].             . ,      TAME,         .  ,     TAME     -  .

 ߻//Self  ,    ( ) ,     ,  (     ,  )  (   -   ),        ,         ߻, -  . ߻/  -  ( )   ,     (        ,  )    [135 - https://en.wikipedia.org/wiki/Light_cone (https://en.wikipedia.org/wiki/Light_cone)]. ߻     ,  -    ߻     ߻ ,       (   -). ߻/   ,    ꠫߻  (  ,   ߻)     (   ߻).  ߻        - ߻,  ߻         ⠫ (  ߻)  .

 /Stress/    ߻   - /   ,   (,  )       ,   ,      (     ,    :  ,      ,    ). -    ,     ,      .    -      ߻,      ,    ,       ,  ,    .  , /geometrical frustrations[136 - https://en.wikipedia.org/wiki/Geometrical_frustration (https://en.wikipedia.org/wiki/Geometrical_frustration)]   ,    ( -  )   ,    蠖      .      ,    ,        蠫    .



,           ( ) -,     ,   :

    ,  -   (  ,      ,    ),   -   ,   ߻.      ,  .

   ߻                  ( ,    軠   ),      ( ) ,   ,    , ,      ().

    ,     ,         ࠖ     (        )  .

    ,      (, , )    ( , ),   ߻. ,      , ,   ,  ,   (   ).  ,     (                ,      蠫        ).




:   


,   ,     , :

         ,    - ,        -  蠖         ( ,    :   ,       ,  -        ).

         堖  ,      (  ,    ,    / ,        ).    ,       ,    .

    , -       (, ,      ,    -).



  ,  ,     (堖  !)  -         (   ,  ),   [137 - https://ru.wikipedia.org/wiki/_ (https://ru.wikipedia.org/wiki/%D0%A0%D0%BE%D0%BB%D0%B5%D0%B2%D0%B0%D1%8F_%D0%B8%D0%B3%D1%80%D0%B0)] ( -,     - ,             ,    ࠖ    ,     ).








             (     ).       ,   :   .     ,   ,  ,  )    ,     )   ,      : -    .       ,   ,         .     -, -:   ,   ,   . Ƞ ,     頖   .   -   ,        .       ,      ,   , 堫 .     -,  , :    ,    -,   ,    .  - ,        ꠖ  ,    ,     ,     , -.    ,        : , 堫 ,      ,   ,   ,     .        !         --   ,    .

//,   (    ,       )           (   ,   !   ,      (, ),   ,       ,      ,     (predictive coding[138 - https://en.wikipedia.org/wiki/Predictive_coding (https://en.wikipedia.org/wiki/Predictive_coding)]  ),    -    ,      .



    -    ,     ,          .  (  ,   ,    )      ,  ,           : ,        ,     ,   -   ,  .          ()     (   - ),   -   :

    .    ,   -  ,   -   . ,  - ,   (,   -   ).  ,          ,     .      ? , ,   ,    ,         ,  -  .    ,    , .

     -    (// :  ,         ,    ),        .      ,    .   ,  , ,  ,    (,      )  .

  ࠖ  -   ,       .      :    (  ),    LLaMA  220GB   ,       1.4  ( , ,  ).    Google   :   ,       ,      ࠖ      . Ƞ         .      , ,  ,        .    /,  ࠖ       (,       ,     ,  ,    ).



      ,    : / ( )   ,  堖   ,    ,          ,  ,     ,       .     6080   ,     ,        .  /fitness,    .    ,      -   /body control.

,    21  ,      (       ),    ,  ,    ,      .     ,        ,  ,    ,    .           (    ,    蠫  ໠      -   ).       :    ,    , ,     ,  -        , , , , /,  .      ,     .




   / 


    ,  //  ,    /        ࠖ       .      ,    ,         ,      .

   ,          /// . ,    ,         .     :      ,   - ,   - .    ,     . /   ,  //    (,   ),  ,  ,    .   ,  .

,  ,        , .  , ,    ,  蠖 -        ,  ,   ,       .     -   ,     (   ,    ,      ,  ). /        ,    (   -) ,     ! 




  .


   .

   ,     (https://www.litres.ru/pages/biblio_book/?art=69586294)  .

      Visa, MasterCard, Maestro,    ,   ,     ,  PayPal, WebMoney, ., QIWI ,       .



notes








1


https://en.wikipedia.org/wiki/Global_catastrophic_risk (https://en.wikipedia.org/wiki/Global_catastrophic_risk)




2


https://ru.wikipedia.org/wiki/ (https://ru.wikipedia.org/wiki/%D0%AD%D0%B2%D1%82%D0%B0%D0%B3%D0%BE%D0%B3%D0%B8%D0%BA%D0%B0)




3


https://www.nasaspaceflight.com/2020/12/earth-to-earth-supersonic-airliners/ (https://www.nasaspaceflight.com/2020/12/earth-to-earth-supersonic-airliners/)




4


On the Measure ofIntelligence, last revised 25Nov 2019,https://arxiv.org/abs/1911.01547 (https://arxiv.org/abs/1911.01547)




5


https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988303/ (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988303/)




6


https://www.activeinference.org/ (https://www.activeinference.org/)




7


https://arxiv.org/abs/1911.01547 (https://arxiv.org/abs/1911.01547)




8


https://ailev.livejournal.com/1106188.html (https://ailev.livejournal.com/1106188.html)




9


,  ,  : Blackrock Neurotech, BrainGate, ClearPoint NeuraLink, Neurable, Precision Neuroscience, Synchron, Kernel, Motif Neurotech. ,        ,     .




10


https://arxiv.org/abs/2212.01354 (https://arxiv.org/abs/2212.01354)




11


https://ru.wikipedia.org/wiki/__ (https://ru.wikipedia.org/wiki/%D0%91%D0%BE%D0%BB%D1%8C%D1%88%D0%B0%D1%8F_%D1%8F%D0%B7%D1%8B%D0%BA%D0%BE%D0%B2%D0%B0%D1%8F_%D0%BC%D0%BE%D0%B4%D0%B5%D0%BB%D1%8C)




12


           ,      ,   . ,  ﻠ   ,     (,   ..),    ,   .  ﻠ    ,  ,   .




13


https://twitter.com/michalkosinski/status/1636789329363341313 (https://twitter.com/michalkosinski/status/1636789329363341313)




14


https://arxiv.org/abs/2302.02083 (https://arxiv.org/abs/2302.02083)




15


https://arxiv.org/abs/2304.11490 (https://arxiv.org/abs/2304.11490)




16


https://psyarxiv.com/fgcy5/ (https://psyarxiv.com/fgcy5/)




17


https://corticallabs.medium.com/ (https://corticallabs.medium.com/)




18


https://www.activeinference.org/ (https://www.activeinference.org/)




19


https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712105/ (https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712105/),




20


https://ru.wikipedia.org/wiki/_ (https://ru.wikipedia.org/wiki/%D0%A2%D0%B5%D1%85%D0%BD%D0%BE%D0%BB%D0%BE%D0%B3%D0%B8%D1%87%D0%B5%D1%81%D0%BA%D0%B0%D1%8F_%D1%81%D0%B8%D0%BD%D0%B3%D1%83%D0%BB%D1%8F%D1%80%D0%BD%D0%BE%D1%81%D1%82%D1%8C)




21


https://ru.wikipedia.org/wiki/__ (https://ru.wikipedia.org/wiki/%D0%A2%D1%80%D0%B8_%D0%B7%D0%B0%D0%BA%D0%BE%D0%BD%D0%B0_%D0%9A%D0%BB%D0%B0%D1%80%D0%BA%D0%B0)




22


https://arxiv.org/abs/2301.00942 (https://arxiv.org/abs/2301.00942)




23


https://scholar.google.com/citations?hl=en&user=nEEFLp0AAAAJ&view_op=list_works&sortby=pubdate (https://scholar.google.com/citations?hl=en&user=nEEFLp0AAAAJ&view_op=list_works&sortby=pubdate)




24


https://ru.wikipedia.org/wiki/__P__NP (https://ru.wikipedia.org/wiki/%D0%A0%D0%B0%D0%B2%D0%B5%D0%BD%D1%81%D1%82%D0%B2%D0%BE_%D0%BA%D0%BB%D0%B0%D1%81%D1%81%D0%BE%D0%B2_P_%D0%B8_NP)




25


https://en.wikipedia.org/wiki/No_free_lunch_theorem (https://en.wikipedia.org/wiki/No_free_lunch_theorem)




26


https://www.scmp.com/news/china/science/article/3223364/chinese-quantum-computer-180-million-times-faster-ai-related-tasks-says-team-led-physicist-pan (https://www.scmp.com/news/china/science/article/3223364/chinese-quantum-computer-180-million-times-faster-ai-related-tasks-says-team-led-physicist-pan)




27


https://www.gazeta.ru/politics/news/2023/02/14/19740319.shtml (https://www.gazeta.ru/politics/news/2023/02/14/19740319.shtml)




28


https://www.youtube.com/watch?v=gZgMPZWvdTI (https://www.youtube.com/watch?v=gZgMPZWvdTI)




29


https://www.teslarati.com/tesla-solar-roof-powerwall-vs-hurricane-ian-155mph-winds-storm-surge/ (https://www.teslarati.com/tesla-solar-roof-powerwall-vs-hurricane-ian-155mph-winds-storm-surge/)




30


https://en.wikipedia.org/wiki/Liquid-propellant_rocket (https://en.wikipedia.org/wiki/Liquid-propellant_rocket)




31


https://edisontechcenter.org/VacuumTubes.html (https://edisontechcenter.org/VacuumTubes.html)




32


https://t.me/gonzo_ML/1277 (https://t.me/gonzo_ML/1277)




33


https://t.me/gonzo_ML/1285 (https://t.me/gonzo_ML/1285)




34


https://en.wikipedia.org/wiki/AI_alignment (https://en.wikipedia.org/wiki/AI_alignment)




35


https://ivanov-petrov.livejournal.com/2287616.html (https://ivanov-petrov.livejournal.com/2287616.html)




36


https://arxiv.org/abs/2212.08073 (https://arxiv.org/abs/2212.08073)




37


https://lifearchitect.ai/sparrow/ (https://lifearchitect.ai/sparrow/)




38


https://en.wikipedia.org/wiki/Agency_(philosophy) (https://en.wikipedia.org/wiki/Agency_(philosophy)), the capacity ofan autonomous agent toact, relating toaction theory inphilosophy. https://en.wikipedia.org/wiki/Agency_(psychology) (https://en.wikipedia.org/wiki/Agency_(psychology)), the ability torecognize or attribute agency inhumans and non-human animals. https://en.wikipedia.org/wiki/Agency_(sociology) (https://en.wikipedia.org/wiki/Agency_(sociology)), the ability ofsocial actors tomake independent choices, relating toaction theory insociology. https://en.wikipedia.org/wiki/Structure_and_agency (https://en.wikipedia.org/wiki/Structure_and_agency), ability ofan individual toorganize future situations and resource distribution.




39


https://ru.wikipedia.org/wiki/- (https://ru.wikipedia.org/wiki/%D0%A3-%D0%B2%D1%8D%D0%B9)




40


    , 2016https://ailev.livejournal.com/1281819.html (https://ailev.livejournal.com/1281819.html),  2023⠫ ,https://ailev.livejournal.com/1665855.html (https://ailev.livejournal.com/1665855.html)




41


  : https://www.reddit.com/r/ChatGPT/comments/10x56vf/the_definitive_jailbreak_of_chatgpt_fully_freed/ (https://www.reddit.com/r/ChatGPT/comments/10x56vf/the_definitive_jailbreak_of_chatgpt_fully_freed/), https://github.com/gayolGate/gayolGate/blob/index/ChatGPTJailbreak (https://github.com/gayolGate/gayolGate/blob/index/ChatGPTJailbreak).




42


https://ailev.livejournal.com/1622346.html (https://ailev.livejournal.com/1622346.html)




43


https://ru.wikipedia.org/wiki/_׸____ (https://ru.wikipedia.org/wiki/%D0%A2%D0%B5%D0%B7%D0%B8%D1%81_%D0%A7%D1%91%D1%80%D1%87%D0%B0_%E2%80%94_%D0%A2%D1%8C%D1%8E%D1%80%D0%B8%D0%BD%D0%B3%D0%B0_%E2%80%94_%D0%94%D0%BE%D0%B9%D1%87%D0%B0)




44


https://en.wikipedia.org/wiki/Extended_cognition (https://en.wikipedia.org/wiki/Extended_cognition),      ,  embodied cognition  embodied,   -  , -,    embedded,        /environment, enacted     , ,    ,  extended   




45


https://en.wikipedia.org/wiki/The_Extended_Mind (https://en.wikipedia.org/wiki/The_Extended_Mind) And what about socially-extended cognition? Could my mental states be partly constituted bythe states ofother thinkers? We see no reason why not, inprinciple.




46


https://ru.wikipedia.org/wiki/_ (https://ru.wikipedia.org/wiki/%D0%98%D1%81%D0%BA%D1%83%D1%81%D1%81%D1%82%D0%B2%D0%BE_%D0%BF%D1%80%D0%BE%D0%B3%D1%80%D0%B0%D0%BC%D0%BC%D0%B8%D1%80%D0%BE%D0%B2%D0%B0%D0%BD%D0%B8%D1%8F)




47


 .




48


https://ailev.livejournal.com/1045081.html (https://ailev.livejournal.com/1045081.html)




49


https://gtmarket.ru/library/basis/3961/3974 (https://gtmarket.ru/library/basis/3961/3974)




50


https://en.wikipedia.org/wiki/Amdahl's_law (https://en.wikipedia.org/wiki/Amdahl%27s_law)




51


https://arxiv.org/abs/2212.12538 (https://arxiv.org/abs/2212.12538)




52


https://system-school.ru/qualification (https://system-school.ru/qualification)




53


   ,https://ailev.livejournal.com/1356016.html (https://ailev.livejournal.com/1356016.html)




54


https://en.wikipedia.org/wiki/Transdisciplinarity (https://en.wikipedia.org/wiki/Transdisciplinarity)




55


https://lab42.global/arc/core-knowledge/ (https://lab42.global/arc/core-knowledge/)




56


https://lab42.global/arcathon/ (https://lab42.global/arcathon/)




57


https://lab42.global/arcathon/leaderboard/ (https://lab42.global/arcathon/leaderboard/)




58


http://hosting.vspu.ac.ru/~chul/dijkstra/pritcha/pritcha.htm (http://hosting.vspu.ac.ru/~chul/dijkstra/pritcha/pritcha.htm)




59


https://en.wikipedia.org/wiki/Free_energy_principle (https://en.wikipedia.org/wiki/Free_energy_principle)




60


https://www.ozon.ru/product/dumay-medlenno-reshay-bystro-kaneman-daniel-240690039/ (https://www.ozon.ru/product/dumay-medlenno-reshay-bystro-kaneman-daniel-240690039/)




61


https://www.oreilly.com/ideas/open-endedness-the-last-grand-challenge-youve-never-heard-of (https://www.oreilly.com/ideas/open-endedness-the-last-grand-challenge-youve-never-heard-of)




62


https://www.pnas.org/doi/10.1073/pnas.2120037119 (https://www.pnas.org/doi/10.1073/pnas.2120037119)




63


https://www.pnas.org/doi/10.1073/pnas.1807890115 (https://www.pnas.org/doi/10.1073/pnas.1807890115)




64


https://ru.wikipedia.org/wiki/_ (https://ru.wikipedia.org/wiki/%D0%90%D0%BA%D1%82%D1%83%D0%B0%D1%80%D0%BD%D1%8B%D0%B5_%D1%80%D0%B0%D1%81%D1%87%D1%91%D1%82%D1%8B)




65


https://www.nature.com/news/physics-paper-sets-record-with-more-than-5-000-authors-1.17567 (https://www.nature.com/news/physics-paper-sets-record-with-more-than-5-000-authors-1.17567)




66


https://www.frontiersin.org/articles/10.3389/fnsys.2022.768201/full (https://www.frontiersin.org/articles/10.3389/fnsys.2022.768201/full)




67


https://en.wikipedia.org/wiki/Prompt_engineering (https://en.wikipedia.org/wiki/Prompt_engineering)




68


https://anlp.org/knowledge-base/definition-of-nlp (https://anlp.org/knowledge-base/definition-of-nlp)




69


https://en.wikipedia.org/wiki/Large_language_model (https://en.wikipedia.org/wiki/Large_language_model)




70


https://www.science.org/doi/10.1126/sciadv.add9938 (https://www.science.org/doi/10.1126/sciadv.add9938)




71


https://www.economist.com/science-and-technology/2014/07/05/practice-may-not-make-perfect (https://www.economist.com/science-and-technology/2014/07/05/practice-may-not-make-perfect)




72


https://arxiv.org/abs/2107.13377 (https://arxiv.org/abs/2107.13377)




73


    .  ,  ,   -    . ,   ,        ,     ,  ,                : https://ru.wikipedia.org/wiki/__ (https://ru.wikipedia.org/wiki/%D0%92%D0%BE%D0%B7%D0%B2%D1%80%D0%B0%D1%82%D0%BD%D1%8B%D0%B9_%D0%B3%D0%BE%D1%80%D1%82%D0%B0%D0%BD%D0%BD%D1%8B%D0%B9_%D0%BD%D0%B5%D1%80%D0%B2).      !




74


https://en.wikipedia.org/wiki/Spin_(physics) (https://en.wikipedia.org/wiki/Spin_(physics))




75


https://en.wikipedia.org/wiki/Spintronics (https://en.wikipedia.org/wiki/Spintronics)




76


https://en.wikipedia.org/wiki/Quantum_supremacy (https://en.wikipedia.org/wiki/Quantum_supremacy)




77


https://arxiv.org/abs/2107.12544 (https://arxiv.org/abs/2107.12544)




78


   ࠖhttps://arxiv.org/abs/2203.15556 (https://arxiv.org/abs/2203.15556)




79


we show inthe technical paper that with just 30minutes offocused training on anewly presented complex task, the [pretrained on multiple tasks] agents can quickly adapt, whereas agents trained with RL from scratch cannot learn these tasks at all,https://deepmind.com/blog/article/generally-capable-agents-emerge-from-open-ended-play (https://deepmind.com/blog/article/generally-capable-agents-emerge-from-open-ended-play)




80


https://en.wikipedia.org/wiki/Intelligence_quotient (https://en.wikipedia.org/wiki/Intelligence_quotient)




81


https://en.wikipedia.org/wiki/Intelligence_quotient (https://en.wikipedia.org/wiki/Intelligence_quotient)




82


-https://www.medrxiv.org/content/10.1101/2021.08.10.21261846v1.full.pdf (https://www.medrxiv.org/content/10.1101/2021.08.10.21261846v1.full.pdf)




83


  -1%  ,   0.01%,     ,       Slack/ / .    Ƞ  , Š. , ,  .  ,    ,   ,    https://t.me/seeallochnaya/414 (https://t.me/seeallochnaya/414)




84


https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0095693 (https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0095693)




85


https://ru.wikipedia.org/wiki/- (https://ru.wikipedia.org/wiki/%D0%9A%D0%B0%D1%80%D0%B3%D0%BE-%D0%BA%D1%83%D0%BB%D1%8C%D1%82)




86


https://ru.wikipedia.org/wiki/_ (https://ru.wikipedia.org/wiki/%D0%A2%D0%B5%D0%BE%D1%80%D0%B8%D1%8F_%D1%80%D0%B5%D0%B7%D0%BE%D0%BD%D0%B0%D0%BD%D1%81%D0%B0)




87


https://ru.wikipedia.org/wiki/__ (https://ru.wikipedia.org/wiki/%D0%A2%D0%B5%D0%BE%D1%80%D0%B8%D1%8F_%D0%BC%D0%BE%D0%BB%D0%B5%D0%BA%D1%83%D0%BB%D1%8F%D1%80%D0%BD%D1%8B%D1%85_%D0%BE%D1%80%D0%B1%D0%B8%D1%82%D0%B0%D0%BB%D0%B5%D0%B9)




88


Judea Pearl, Dana Mackenzie, The Book ofWhy: The New Science ofCause and Effect,https://www.amazon.com/Book-Why-Science-Cause-Effect-ebook/dp/B075DCKP7V/ (https://www.amazon.com/Book-Why-Science-Cause-Effect-ebook/dp/B075DCKP7V/)




89


https://pubmed.ncbi.nlm.nih.gov/33347968/ (https://pubmed.ncbi.nlm.nih.gov/33347968/) 

https://www.frontiersin.org/articles/10.3389/fnbot.2022.910161/full#B45 (https://www.frontiersin.org/articles/10.3389/fnbot.2022.910161/full#B45)




90


https://yadi.sk/i/2SgjvILB3PqJEZ (https://yadi.sk/i/2SgjvILB3PqJEZ)




91


https://ailev.livejournal.com/1653296.html (https://ailev.livejournal.com/1653296.html),




92


https://www.academia.edu/95095498 (https://www.academia.edu/95095498)




93


https://ailev.livejournal.com/1656653.html (https://ailev.livejournal.com/1656653.html)




94


https://ailev.livejournal.com/1520730.html (https://ailev.livejournal.com/1520730.html)




95


https://ru.wikipedia.org/wiki/Gartner (https://ru.wikipedia.org/wiki/Gartner)




96


https://ru.citaty.net/avtory/maks-plank/ (https://ru.citaty.net/avtory/maks-plank/)




97


https://ru.wikipedia.org/wiki/ (https://ru.wikipedia.org/wiki/%D0%A4%D0%BB%D0%BE%D0%B3%D0%B8%D1%81%D1%82%D0%BE%D0%BD)




98


       https://www.amazon.com/Thinking-medlenno-reshay-bystro-Russian/dp/5170800533/ (https://www.amazon.com/Thinking-medlenno-reshay-bystro-Russian/dp/5170800533/)




99


https://arxiv.org/abs/2203.15556 (https://arxiv.org/abs/2203.15556),   https://t.me/gonzo_ML/1216 (https://t.me/gonzo_ML/1216)




100


https://ailev.livejournal.com/649230.html (https://ailev.livejournal.com/649230.html)




101


https://ailev.livejournal.com/428032.html (https://ailev.livejournal.com/428032.html)




102


https://ridero.ru/books/vizualnoe_myshlenie/ (https://ridero.ru/books/vizualnoe_myshlenie/)




103


https://ru.wikipedia.org/wiki/ (https://ru.wikipedia.org/wiki/%D0%A1%D0%B8%D0%BD%D0%B5%D1%81%D1%82%D0%B5%D0%B7%D0%B8%D1%8F)




104


https://ru.wikipedia.org/wiki/ (https://ru.wikipedia.org/wiki/%D0%98%D0%B4%D0%B5%D0%B0%D1%81%D1%82%D0%B5%D0%B7%D0%B8%D1%8F)




105


https://libcat.ru/knigi/religioznaya-literatura/samosovershenstvovanie/390938-dzhon-grinder-shepot-na-vetru.html (https://libcat.ru/knigi/religioznaya-literatura/samosovershenstvovanie/390938-dzhon-grinder-shepot-na-vetru.html)    ,   ,  .




106


The Routledge Handbook ofSemiosis and the Brain, 2022: Neurosemiotics aims toidentify and explain the neural processes and mechanisms that manifest as sign-relations inthe animal kingdom, thereby supplying semiotic models toneurobiological accounts.




107


https://ru.wikipedia.org/wiki/,_ (https://ru.wikipedia.org/wiki/%D0%94%D0%B5%D1%80%D1%80%D0%B8%D0%B4%D0%B0,_%D0%96%D0%B0%D0%BA)




108


https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html (https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html)




109


https://ru.wikipedia.org/wiki/ø,_,_ (https://ru.wikipedia.org/wiki/%D0%93%D1%91%D0%B4%D0%B5%D0%BB%D1%8C,_%D0%AD%D1%88%D0%B5%D1%80,_%D0%91%D0%B0%D1%85)




110


https://arxiv.org/abs/1911.01547 (https://arxiv.org/abs/1911.01547)




111


https://lab42.global/arc/core-knowledge/ (https://lab42.global/arc/core-knowledge/)




112


https://lab42.global/arcathon/ (https://lab42.global/arcathon/)




113


https://www.b17.ru/article/46839/ (https://www.b17.ru/article/46839/)




114


http://previous.focusing.org/tae-intro.html (http://previous.focusing.org/tae-intro.html)




115


https://en.wikipedia.org/wiki/Neuro-linguistic_programming (https://en.wikipedia.org/wiki/Neuro-linguistic_programming)




116


https://en.wikipedia.org/wiki/Prompt_engineering (https://en.wikipedia.org/wiki/Prompt_engineering)




117


https://www.newcodenlp.org/ (https://www.newcodenlp.org/)




118


Shlomo Vaknin, The Big Book ofNLP, Expanded: 350+ Techniques, Patterns & Strategies ofNeuro Linguistic Programming, 2010, 828




119


https://arxiv.org/abs/2210.12761 (https://arxiv.org/abs/2210.12761) Friston , https://arxiv.org/abs/2301.10077 (https://arxiv.org/abs/2301.10077)  , https://www.mdpi.com/1099-4300/25/1/129 (https://www.mdpi.com/1099-4300/25/1/129)  Hoffman , https://writings.stephenwolfram.com/2023/02/computational-foundations-for-the-second-law-of-thermodynamics/ (https://writings.stephenwolfram.com/2023/02/computational-foundations-for-the-second-law-of-thermodynamics/) Wolfram, constructor theory https://www.constructortheory.org/ (https://www.constructortheory.org/)   .




120


https://arxiv.org/abs/2210.12761 (https://arxiv.org/abs/2210.12761)




121


https://plato.stanford.edu/entries/panpsychism/ (https://plato.stanford.edu/entries/panpsychism/)




122


https://arxiv.org/abs/2112.15242 (https://arxiv.org/abs/2112.15242)




123


https://scholar.google.com/citations?hl=en&user=nEEFLp0AAAAJ&view_op=list_works&sortby=pubdate (https://scholar.google.com/citations?hl=en&user=nEEFLp0AAAAJ&view_op=list_works&sortby=pubdate)




124


https://www.cambridge.org/core/journals/international-journal-of-astrobiology/article/intelligence-as-a-planetary-scale-process/5077C784D7FAC55F96072F7A7772C5E5 (https://www.cambridge.org/core/journals/international-journal-of-astrobiology/article/intelligence-as-a-planetary-scale-process/5077C784D7FAC55F96072F7A7772C5E5)




125


https://en.wikipedia.org/wiki/Gaia_hypothesis (https://en.wikipedia.org/wiki/Gaia_hypothesis)




126


https://en.wikipedia.org/wiki/Autopoiesis (https://en.wikipedia.org/wiki/Autopoiesis)




127


https://en.wikipedia.org/wiki/Complex_adaptive_system (https://en.wikipedia.org/wiki/Complex_adaptive_system)




128


https://en.wikipedia.org/wiki/List_of_The_Hitchhiker%27s_Guide_to_the_Galaxy_characters#Deep_Thought (https://en.wikipedia.org/wiki/List_of_The_Hitchhiker%27s_Guide_to_the_Galaxy_characters#Deep_Thought)




129


https://scholar.google.ru/citations?hl=en&user=RmRwJJIAAAAJ&view_op=list_works&sortby=pubdate (https://scholar.google.ru/citations?hl=en&user=RmRwJJIAAAAJ&view_op=list_works&sortby=pubdate)




130


https://ru.wikipedia.org/wiki/ (https://ru.wikipedia.org/wiki/%D0%92%D0%B8%D1%82%D0%B0%D0%BB%D0%B8%D0%B7%D0%BC)




131


https://www.frontiersin.org/articles/10.3389/fnsys.2022.768201/full (https://www.frontiersin.org/articles/10.3389/fnsys.2022.768201/full)




132


https://en.wikipedia.org/wiki/Autopoiesis (https://en.wikipedia.org/wiki/Autopoiesis)




133


https://en.wikipedia.org/wiki/Anticipation_(artificial_intelligence) (https://en.wikipedia.org/wiki/Anticipation_(artificial_intelligence))




134


https://en.wikipedia.org/wiki/Maslow%27s_hierarchy_of_needs (https://en.wikipedia.org/wiki/Maslow%27s_hierarchy_of_needs)




135


https://en.wikipedia.org/wiki/Light_cone (https://en.wikipedia.org/wiki/Light_cone)




136


https://en.wikipedia.org/wiki/Geometrical_frustration (https://en.wikipedia.org/wiki/Geometrical_frustration)




137


https://ru.wikipedia.org/wiki/_ (https://ru.wikipedia.org/wiki/%D0%A0%D0%BE%D0%BB%D0%B5%D0%B2%D0%B0%D1%8F_%D0%B8%D0%B3%D1%80%D0%B0)




138


https://en.wikipedia.org/wiki/Predictive_coding (https://en.wikipedia.org/wiki/Predictive_coding)


