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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