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

Monday, November 20, 2023

Applying Economist 1976 Entrepreneurial Revolution Questions to wealth modeling of 2012's AI's Famous 5 and 1984 PCN/web1 Duo

 In the west at least almost all digital wealth stems from web1 worlds seen with Jobs & Gates; and stems of web3 worlds are seen with Hassabis Li Hinton Lecun & Bengio. These 5 changed the world by demanding humans did huge-long training of computers before trusting them to any breathrough intelligence. Please note as Condoleezza Rice reports at least 9 technologies have had to leap alongside AI (one reason why we doint favor terms that imply the AI will by itself lead the human rface any time soon

What occurred during web 2 worlds (aka 3G) of genii western leaders like bezos, musk, page& brin, zuckenberg and all sorts of distribution techs like uber doordash airbmb let alone fintech, healthtech, agritech during web2 is unclear because these seem to be  have been designed as data monopolies which rather defeats the point of  engines supporting every human brainworkers best livelihoods as seen by Neumann (mediation) Einstein (education) Turing (recursively ever deeper longer-ter data compasses)

Interestingly in the pre-engineering age we have Fazle Abed model of an overall trust for womens intel nation building supported by community franchsised businesses solving community's most urgent sgds and retaining most if not all value in community produced - see abemooc.com; it was this model that both JOBs and gates learned from 17 years after their launch of PCN ion 1984

In our 25th year of net dialogues at the economist xmas 1976 Entrepreurial Revolution  (Italian co-editor Roamni Prodi) we recommnded redesigning the 3 main constitutional org types ahead of sustaining millennials digital worlds where transformational attention to learning and geonomic cooperation needed to multiply interpersonal trust to be far more valuable than monetisable trades - lets call these

ERgov

ERCap

ERFound

as well as ER-HumansAI

When we look at the4 famous 5 Hassabis is remarkable - with AIScience he seems to have shared the intelligence of deepmind in ways that has created ERcap trillion dolar business parnerships, ERfoundgiven away to foundations science equivalent to a billion graduate days work and become the guy any ERgov governemnt regulator serving publics would best learrn from first

Fei-Fei Li as ERHimans or AIhumans is also remarkable as essentially she starting at 35 in 2012 has included 3 older professors Hinton Lecun Bengio who have as yet been the source trainers of all very good ai in the west. Action solutions in communities probablydirectly come far more millenials jobs in population numbers than the grand science researchers

But this leaves us neuman's ourigina neural netwirking chalenge - mediating 1000 mother tongues startimng witjh english and chinese so they all elarn from their cultures/communities deepest chalenges needing brainworker solutions. While the foundation nlp/chat models may be racing twoards thsi, there seems to be no constitutiponakl form for making sure the llm that the netw would have seens as top for milennails sustainability will be what makes 2002s huamnity's best time instead of its warring worst.


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