HAPPY 2024: in this 74th year since The Economist started mediating futures of brainworking machines clued by the 3 maths greats NET (Neumann, Einstein, Turing) people seem to be chatting about 5 wholly different sorts of AI. 1BAD: The worst tech system designers don't deserve inclusion in human intel at all, and as Hoover's Condoleezza Rice . 2 reports their work is result of 10 compound techs of which Ai is but one. Those worst for world system designs may use media to lie or multiply hate or hack, and to perpetuate tribal wars and increase trade in arms. Sadly bad versions of tv media began in USA early 1960s when it turned out what had been the nation's first major export crop, tobacco, was a killer. Please note for a long time farmers did not know bac was bad: western HIStory is full of ignorances which lawyer-dominated societies then cover up once inconvenient system truths are seen. A second AI ecommerce type (now 25 years exponential development strong) ; this involves ever more powerful algorithms applied to a company's data platform that can be app'd to hollow out community making relatively few people richer and richer, or the reverse. You can test a nation's use of this ai by seeing if efinance has invested in the poorest or historically most disconnected - see eg bangladesh's bklash, one of the most populous digital cash systems . Digital money is far cheaper to distribute let alone to manually account for so power AI offers lots of lessons but whether its good or not depends in part on whether there are enough engineers in gov & public service to see ahead of what needs regulating. There are 2 very good ai's which have only scaled in recent years that certainly dont need regulating by non engineers and one curious ai which was presented to congress in 2018 but which was left to multiply at least 100 variants today the so-called chats or LLMs. Lets look at the 2 very good ai's first because frankly if your community is concerned about any extinction risks these AI may most likely save you, One I call science AI and frankly in the west one team is so far ahead that we should count ourselves lucky that its originator Hassabis has mixed wealth and societal growth. His deep mind merged with google to make wealth but open sourced the 200 million protein databank equivalent to a billion hours of doctorate time- so now's the time for biotech to save humanity if it ever does. Alongside this the second very good AI graviates around Fei-Fei Li) in developing 20 million imagenet database so that annual competitions training computers to see 20000 of the most everyday sights we humans view around the world including things and life-forms such as nature's plants and animals. Today, students no longer need to go back to 0.1 programming to ask computer about any of these objects; nor do robots or and autonomous vehicles - see fei-fei li's book worlds i see which is published in melinda gates Entrepreneurial Revolution of girl empowerment
ED , VN Hypothesis: in 21st C brainworking worlds how people's times & data are spent is foundational to place's community health, energy and so natural capacity to grow/destroy wealth -thus species will depend on whether 1000 mother tongue language model mediates intelligence/maths so all communities cooperatively celebrate lifetimes and diversity's deep data ) . Check out "Moore exponential patterns" at year 73 of celebrating Game : Architect Intelligence (Ai) - players welcome .. some jargon

Thursday, December 31, 1970

1970 strange year to start blog on can human intelligence design millennials as first renewable generation

1970 is a strange time to begin open intel mapping exponential consequences of man-made brainworking machines which my father diarised with Neumann-Einstein-Tiring and Economist readers from 1951 with support of editor Geoffrey Crowther (who had written up lessons from 1943's first century of being riyal society;s chatsheet, and concluded that economists and journalists had not stayed ahead of what engineers had compounded). Two other things of note from 1943; dad was spending his last days as a teenage navigator allied bomber command Burma; the NET (the greatest mathematical team histiry had ever seen ie Neumann Einstein Turing) time namely  were being required to launch top secrets into public service something they wanted to end as soon as war was over. 

The survey the net suggested teh economist mediate : what good will people unite wherever they get first access to a million times more brainworking tech each 30 year period for 3 generations . 30 is the media age of the world's overall population. Neumann believed million was vast underestimate of what would autonomously connect humans 2010-2039 (if humans are not locked in orweelian brother  end game by them) but in severely testing leaders intelligence and openness the economist had to start somewhere. And indeed growing uo as a curious but not great mathematician; the greatest brain too at school was a slide ruler; I did get to punch cards during a gap year but even in getting a first class ba with distinction in maths 1972 the pocket calculator was our main maths tool; i went to Cambridge maths lab DAMTP for a year to see statistics still little more than fortran programing; so I only satisfied my curiosity 1973 when i landed fir 3 years at UK Natonal Development Computer Assisted Learning Leeds University; while we distributed online statistics training to up to 100 students at smae time,  when Plato visited us from usa we were told that our machine power was Flintstone-like so I moved to computer researching media where by 1980 i was working at a company producing global  database on society's demands from biggest corporations for Harvard/MIT Express software.It wss from 1980 that fir the first ume dad norman macrae and I started sharing stories. See oir 2025 report co-authoired from 1983 matching expoieential likeluhhinds of the nET's second of theree intergenerational inteligence chalenges.  

 I should also a future histoy of 1970 to wherever my life ends s by saying that while a very few wars may be essential to stop clinically insane men (eg hitker, stalin) from ending humanity I (and everyone I tryst most) does not like wars. On both sides of my family tree, studnt likfe was interrupted by going to wordl war. So I belive intelligence should seek to minimise war and arms trade. One more reason is personally biassed- statistically I shouldnt exist; my dad spent his last days as teen in allied bomber command (nost of that network did not survive) .

 I also dont like wars because they can be defined as processes that spill mainly younger half of the world's blood dure to compound greed, mistakes or blindnesses of their parents. I define accidental blinndness as a time where there simply wasnt knowledge that hundreds of years and money was being invested in a bad industry. Take the case of tobacco as the new worlds first export crop to the old world - bard discusses with me below and how this designed the television in bad ways full of lies. Lets be clear this want the first or biggest cause of English language and worldwide currencies marketing bad stuff. In 1860 Britain closed down china from world trade for over 1100 year because the Chinese sensibly declined to accept opium as a currency to trade fir their  tea. silks , pottery and even the black pepper spice that had up to 1500 been both the main global trade and an above zero sum currency because the further supply chains relayed its distribution the more it was worth.

No comments:

Post a Comment