introduction in appendix on my biases - always best to understand mutual biases before intelligencve chat human or hybrid with ai
Main reason why our 1983 book 2025 predicted humanity succesful progress into ai age would depend on transforming education - prediction by 2010 most valauble parctice of any skill chaing every 2 yeras- this makes 4 year paper certificayes whoch also put next generation in debt wrong colege modle
notre how (accidentally) elders have ponzi scheme monetisation - pes=ipn, health, home ownereship' against next generation (accidemt of population bublle and taxation congresses over short term interests of elders or richesz); this conflicts with humans main value "wanting children to achieve what wasnt possible in their generation
(japan razation about 45% pensuon and debt; about 20% defencse ; about 6% education ...)
core all diference in world between developing tech around advetiting or productive learning - example un has green washed a generation with goials (milennials/sdgs) - never had agreed political investment ; from 2015 prednted intellugence model by fei-fei li fazle abed jim kim jack am; but this was torn up in 2019 (just before codid and just as 3 uyeras of billion times more designed into chats)
a core proposition time both stduents and tecahers spend should be redesigned around multuplying each others intelligence not examining separate individuals; see eg paul rose conversation of how he escaped schools theioretical curriculum as teen; compare montesori/gandhi; look at csik model action learning - genii maximise time spent at experetienial edge of context deep learning;
defining machine intelliugence - between 1965 -2025 humans have become networked around machiens with billion times more maths brainpower than separate human minds- next choices in intelligence depend on understand which inter-nations trades and development matched 1965 to 1995 million times more chip power; 1995-2025 energising billion time more machine brainpower; 1995 to 2025 death of cost of distance in satellite transmission of life shaping data and intelligence
other wrinkles 1955-2005 ai winter in spite of neural net alogorithsm core to net - see neumann computer and brain 1956 - see trial of comoutering meuroscience fei gfei hassabis and jensen (see also jense 3 taiwan american and 3 taiwan founder ht li foxconn guou tsmg maurice chang)
msot leaps in tersm of human producivity have integrated pacific trade not atlantic - moreover 3 coastlines matters not just us west coast and chian east coast but twin coast roadster of japan korea taiwan hk singapore ; nb supply chains - thousnds of tech smes; containerisation and bulet traisn made transnational trade more affordabloe than continent overland (in fact continemt overland development models alway problem versis island trading even as contunets may own energy resources)
need to understand 2 ai models:
jemsens 5 layer ai model for curent development
23 spaces 1 solving eietsinen scienc crises; solving how to usde humanoids in last mile services; how to9 use pace
entrepreneuyrail revolution 1976
enetrporenurship of tech will need 3rd development firce to big gov and big corpotate
was oportunity garage startups - see eg nvidia 20000 stratups
was opportunity eg turning sports admin into huge economic not fir profits not swiss bank accounts
was opportuntity blockchain un coin from 2008 (or other ways to originate monet other thahn jusy politicians printing it)
un not balanced to develop 360 degree trade - eg why not a majority g of nations albeit many small islands that deepended on green energy finace evemn as everyone needed much more energy
why not arctic circle model (and one that ended russi as main threat to everywhere else)
why not onbe that trransparently mapped integereration infrastructure investment model ; digital offered different possible trading neighbours than just physical neigbors (land locked nations alwys at disavante) needed deep data on decolonial ai
many deep dat models on health need oipen collaboration across everywhere - eg cancer, alzgeimers, mentail illnesses, productivity of handicapped
shelf we youth trusr - needed coding to match com,munity actions layer 5
digital soveeignty 10 most unique intelligence models may be last chance 205-30
youyth back from future models; missing curricula; missing investment in engineers; women engineers; engineers nearets deepest development chalenges (marrying bottom up shelth we youth trust woith POLC (I4th)Y which require mediation with love/care of peoppe with ,ost ,oney- arts ai iamgine all the people - manga - kppop
taiwan as central model of eberyone - neumann first 4 halls of fame
why ai world series model connects first 10 deep data sov models
uk korea franc india
uk japan qatar (saidi)
uk us (cada gemeny italy)
why russia os number 1 reolution' palestinn-imec would be all med west asia reolution ; east asia resolution mainly regaining trust across missing twin coastline - ome way to acheive oberland train to us west capst with most of north autonomous freight only - whi;e rest populated
autonoous trucks and autonomous last mile car deleivery interesting data colection model - does it match eg mri as deep data model
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