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

Saturday, December 31, 1983

Update Thanksgiving 2023

 83.0 EconomistLearning logs experiences including future-back imagineering we have seen 40 years of cooperation with real teachers starting in new zealand; these clusters were concerened tranforming livelihoods 10 years ahead as any school system responsible for eg 10 years of a childs development needs to be 

83.1 as of 2023 we dont know AI that is better than a good teacher or time-rich parent of kids up to 16

83.1b equally there are now many subjects from age 5 up - eg dance physical exercise drawing where an AI can help any teacher improve her class performance

83.2 ironically when it comes to professors/colleges we dont know any professor worth studying with unless she or he connects with best relevant ai - currently this means partnerships generally with a very few places though specifically wherever is best at ai

83.2b there is also confusion - these days if you have access to superchats/llms increasingly most people dont need to be great mathematicians or even great coders to be very competent at making use of ai that their expertise/jobs needs most; 

83.2c however what always be a valuable design skill is a kind of pattern analysis that is often somewhere half between maths and architecturally seeing/blueprinting a discipline

 84.1a of course there are nuances to this and the problem of what sort of digital access is needed in different nations or regions; much ai can now be used the same way you use a mobile app but not necessarily created that way

84.1b there is also a problem that powerful old people may not want to hear that they are now putting a lot at risk of they dont help everyone see worlds ai can see; please note when we use word ai we mean all technologies -please see condoleezza (hoover at stanford) report on top 10 techs multiply ai and each others usability; and eg ask her teams if you need more specific context risk/foundations checking

84.1c one of the big things: all over the world the most work that needs to be done is locally, communally- ai can be very good at helping teams serve communities; paradoxically old schools spent very little time on team as opposed to individual attainment; in this regard every teacher needs to demand change in school processes; fortunately ai can be very good at helping with that attending to  sort of adminstration transformation

chris.macrae@yahoo.co.uk I am happy to offer a free 30 minute zoom or whatsapp -who wants to discuss the above openly; I realise in some regards I am over-simplifying and enjoy learning what is stopping people from uniting around very good ai- see my views on where education could be written 40 years ago after my first 10 years studying computers in education and regarding societal needs across many countries with database tech supplied my MIT/harvard; in these 2020s, its not the tech or the youth that is stopping personalised learning it is in some sense that elders have not attended to the personalised learning agency everyone could now have - see eg recent changes of views on this eg bill gates

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