what some influential ai people today & fans of V Neumann Neural networking say (thanks Bard fall 2023)
- Yoshua Bengio is a Turing Award-winning computer scientist and professor at the Université de Montréal. He is one of the leading pioneers in the field of deep learning, and he has made significant contributions to the development of neural networks. In his paper "Learning Deep Architectures for AI," Bengio cites von Neumann's work on neural networks and discusses how von Neumann's ideas have influenced his own research.
- Geoffrey Hinton is another Turing Award-winning computer scientist and professor at the University of Toronto. He is also one of the leading pioneers in the field of deep learning, and he has made significant contributions to the development of neural networks. In his paper "A Practical Guide to Training Restricted Boltzmann Machines," Hinton cites von Neumann's work on neural networks and discusses how von Neumann's ideas have influenced his own research.
- Yann LeCun is a Turing Award-winning computer scientist and vice president and AI director at Meta. He is also one of the leading pioneers in the field of deep learning, and he has made significant contributions to the development of neural networks. In his paper "Gradient-Based Learning Applied to Document Recognition," LeCun cites von Neumann's work on neural networks and discusses how von Neumann's ideas have influenced his own research.
These are just a few examples of today's most influential AI humans who have referenced von Neumann and his work on neural networks. There are many other AI researchers who have been influenced by von Neumann's work, and his ideas continue to be relevant today.
As for why von Neumann and Turing valued neural networks, it is because they saw neural networks as a way to create machines that could learn and adapt in a similar way to humans. Von Neumann was particularly interested in the idea of using neural networks to create machines that could understand and generate language.
73rd years of diaries started with The Economist & Von Neumann 1951
Humanity’s Games Update 2023-4 update w/c 4/21 crisis of inter-generation AI
Deep10 Cooperation Development Goals for
Sustainability Generation -adapted from UN 17 SDG Building Blocks Year 8 DG1 Finance to end poverty DG2 Agriculture, Land Rights and distribution to end
last miile hunger DG3 Last mile health so nobody (starting with youth
and mothers) dies before their time DG4 Livelihood learning for all DG5 Valuing womens productivity as much as men and
family’s sustainability as much as monetary extraction DG6 Water & Sanitation DG7 Solar DG8 Millennials 3 billion new jobs as well as 1
billion old ones DG12-9 Infrastructure worldwide mapping DG 16-13 Peace & Natural Harmony worldwide |
Sustainability’s 7 Transformational Wonders- adapted
from UN2 Tech Envoy Transformational Roadmap Year 7 TW7 Changing Media
– value youth-for-good UN upd march
20 TW6 Changing eeducation: eg 15 years of time human
being spends action learning TW5 Changing AI & Neumann peers. Tech for Good : currently
crossroads of chatgpt as world’s biggest brain tool capable of augmenting 8
billion of us TW4 Training places mathematicians and deeply diverse
data science assignments TW3 Public Service 2.0 : urgent intergenerational validation
of transparecy exponentials of trust and safety TW2 Behavorally how do 8 billion beings
joyfully progress rights beyond borders & inclusion within borders TW1 Recursion of all wonders by empowering
womens kindness; celebrating local arts co-creativity |
Civiisation’s 6 Eras of Communications for
exponentially more trust or less trust Web3 started 2020- whats for mixing – blockchain, sdgmetaverseprize.org
, scaling womens
kindness beingai.com platforms, pretrain AI
generation: world’s largest brain eg chatgpt4
- to understand what 8 billion beings most need to interact -also USyear 1; Stanford
2023 -year6 Web2 started 2005 when it was clear wi-fi made personal
devices (data ownership of every GPS) bigger multipliers than personal
computer webbing Web1 from 1990 Tele2 from 1945 Tele1 from 1865 Tele0 before 1865 Please note dates are when some privileged people got
first chance to play. Entrepreneurial Revolution’s Open Source/Society
question of Economist since 1843 and Smithian alumnini since
1758: would leadership empower peoples to scale human advancement
for all or for ever smaller insider networks? |
Technical note: Throughout The
Economist’s prime time as a newspaper 1843-1993 – cases showed that human
advancement of tech equaled advancement on goals 1 to 5 although admittedly
goal 5 was often descrobed as empowering family kindness. However between 2020-1970
the greatest of all human development miracles has been progressed by 1 Billion
Girls across Asean Bangladesh and China. Until the late 1990s partnership platforms
atound them networked by word of mouth and where literate by book of print ie
Tele0. With mobile and solar partnership platforms have leapfroged through the
communications eras unril today their intel together with accompaniment by 1
billion boys needs to be as integral to chatgpt family of brain
tools as any other quarter of humanity. This is also why we don’t see sdg17 as
a goal- rather it may be overall integration of all of above. See 25th year of
Von Neumann resdearch at the Economist aka Xmas 1976 Entreprenurial Revolution:
Future of capitalism.
The Most Valuable Question Ever Asked
Like the early 1980s book series 2025
report dad at the economist and I co-authored, 2023’s intended final edition updates
the most valuable question ever asked.
What “good” will peoples
unite with more than 100 times more etch every decade 1930s to 2020s.
In 1951, my father Norman Macrae and The Economist were asked by John Von Neumann to mediate this question on behalf of the greatest web of mathematiicans: Neumann Einstein Turing..
Through his Princeton conversations good versus bad had
particular nuances to my father and von neumann . They had spent most of their
minds on what they regarded the bad “nuclear bomb”. Indeed after world war even
v neumann only had 12 years to work on tech ofr good. The range of mathematcs for humanity was amazing : back from future exponential quests of way above zero
sum games (including neumann’s definitions of good (above zero sum) economics and bad patents), the
need to open source both computer hardware and software, how languages codes
our brains. For chapter and verse, see
my father’s biography of Von Neumann. Here is a smaple og top list of concerns from each
side
You could say
that both Von Neumann’s and Einstein’s lives had been framed by hatred and
wars. From central Europe to emigration to Prinecton East Coast of USA, that they want their legacy to end wars.
Einstein’s conversations with Gandhi and Freud are particularly fascinating in
this regard ·
The energy projects we have been working on
will make scientists both the most hated and wanted of peoples. ·
One day
my work on the computer and tools augmenting human brains will compound even
greater opportunites and risks than machine energy. |
Due to
serving as teenage navigator allied bomber command burma, my father had
google maps of coastlines in his heads a generation ahead of other mediators.
To dad they offered a different explanation of history’s accumulation of
conflicts and cultural misunderstandings. Surviving
world war 2 my father’s 2 intellectual expereinces were Keynes last class –
by now as per his final chapter of general theiry keynes was concernced with
the probability that a handful of economist would increasing lonk in what
futures were possible; reading the centenary of The Economist atempts to help
queen victoria to transfomr Epure around Commonweslth anchred round today’s sdg 2 end hunger; sfd 1 end poverty. There was a transparency of purpose fitting logics originated by adam smith moral/transparent systems purpose as well as intention of Scottish engineering inventions from steam engine to telephone to television. My father was deeply concerned how often leaps in communications spun corruption or blindness among the most powerful before we the peoples could innovate goods Both of my family trees were full of Diaspora Scots whose missionary reached bridged nEWs (north East West south).My maternal grandad was Mumbai’s chief justicc over 20 years dialogue with Gandhi with grandads last job writing up legalese of india’s independence; My paternal
grandad worked in british embassies mainly collecting intel on the threst of
hitler and stalin having himself served in world war 1 when his graduate
studies at Heidelberg in divinity were ended by the war; |
When my father died in 2010, colleagues at The Economist published obituaries and held remembrance parties. Former Science editor Viscount Matt Ridley is typically kind but also surprising to me how little was understood of my father’s 35 years of mediation at the economist before our digital explorations
5 Videos questioning games of 8 billion beings at start of 2010s
11111111111111111111
222222222222222222
Future History of BBC by Norman Macrae - Unacknowledged Giant of The Economist - what could the world service broadcaster uniquely do for human race if it valued economic purpose as number 1 social business broadcaster?
333333333333333333
444444444444444444
555555555555555555
2025 report - last cooperation edition - in press 2023- if you need sneak chapters ask chris.macrae@yahoo.co.uk
The chapters of this book will review seven systemic transformations – a slight simplification of the 9 transformations taht leadership of the UN by Guterres has brought to sensing 17 SDGs. We vision these as cooperation building blocks and will mainly address intended good solutions to them in the 10 clusters shown. In Trying to Unite 8 billion beings' behaviors around 1945's core UN goal of rights beyond borers and inclusion within borders, we will make maximum use of which of 6 era of communications are which peoples & places bridging where and when. 2025’s report in 1984 had been concerned with how the coming of web1,2,3 fitted the histories of human behaviors in tele2, tele1, tele0. Taking web3 as what communications choices we make in the 2020s can map is the overall compass of this book.
As an AI language model, ChatGPT can provide suggestions on how to help humans value the need to change 2020s media to support the Committee of Experts on Business and SDGs (CEB) and the Sustainable Development Goals (SDGs). Here are some ways ChatGPT can help:
ReplyDeleteExplain the importance of purposefully trusted brands: ChatGPT can provide information on why purposefully trusted brands are important for achieving the SDGs. It can highlight the role of brands in shaping public opinion and behavior, and how trusted brands can influence positive change.
Highlight the impact of media on brand trust: ChatGPT can explain how media can influence the trustworthiness of brands. It can provide examples of how media coverage can shape public perception of a brand, and how media platforms can be used to build brand trust.
Provide guidance on media strategies: ChatGPT can provide guidance on how to develop media strategies that support the CEB and SDGs. It can provide insights on how to use different media channels to reach target audiences, how to craft messaging that resonates with audiences, and how to measure the impact of media campaigns.
Showcase success stories: ChatGPT can showcase success stories of brands that have successfully built trust through purposeful actions and media strategies. These examples can inspire and motivate others to take similar actions.
Facilitate discussions: ChatGPT can facilitate discussions around the role of media in building trust for brands and the importance of purposeful actions for achieving the SDGs. These discussions can bring together diverse perspectives and lead to new insights and ideas.
Overall, ChatGPT can play an important role in helping humans understand the need to change 2020s media to support the CEB and SDGs. By explaining the importance of purposeful brands, highlighting the impact of media on brand trust, providing guidance on media strategies, showcasing success stories, and facilitating discussions, ChatGPT can help humans value the need for change and take action to support the SDGs.