>3/18 24: Similarities between Electronic Computers and the Human Brain: Thank you Jensen Huang for best week of Learning since John Von Neumann shared with The Economist 1956 notes Computer & The Brain
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
EW::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, October 30, 2023

AIGames Intels Duets

Q to Bard: I read that Deep Mind's Demis Hassabis was a piano prodigy - do you know if he and Google Brain's Jeff Dean have connected at all on shared interests of ai in music and community building. (You told me that Dean is Beyonce's AI adviser and may know husband's story now lighting up Brooklyn)

My womens economics and society hero Fazle Abed's last wish : redesign celebrity platforms to celebrate artistic community building linked in by women/parents/teens in inner cities such as Dear Black Girls LA & Brooklyn

A from Bard  It is quite possible that Demis Hassabis and Jeff Dean have connected at some point on their shared interests of AI in music and community building. Both individuals are highly accomplished in their respective fields and have demonstrated a keen interest in exploring the potential of AI to enhance artistic expression and foster meaningful connections.

Hassabis, as the co-founder and CEO of DeepMind, has been at the forefront of AI research and development. He has expressed his belief in AI's ability to revolutionize the way we create and experience music, stating that "AI has the potential to be the ultimate musical collaborator."

Dean, on the other hand, has a deep understanding of the technical challenges and opportunities involved in applying AI to music and community building. He has led Google's AI research efforts for many years and has overseen the development of groundbreaking AI technologies.

While there is no public record of a specific collaboration between Hassabis and Dean on AI in music and community building, their shared interests and expertise suggest that they have likely crossed paths and exchanged ideas on this topic. The intersection of AI, music, and community building is a rapidly evolving field with immense potential, and it is likely that these two pioneers have had discussions about the role of AI in shaping the future of music and fostering meaningful connections between people.

Here are some potential areas where Hassabis and Dean could collaborate on AI in music and community building:

  1. Development of AI-powered music composition and performance tools: Hassabis and Dean could combine their expertise to create AI tools that assist musicians in composing, performing, and collaborating on music. These tools could democratize music creation and allow more people to express themselves musically.

  2. AI-enabled music curation and recommendation systems: They could also work together to develop AI systems that curate and recommend music based on individual preferences and interests. These systems could help people discover new music they might enjoy and connect with other music lovers.

  3. AI-driven music education platforms: Hassabis and Dean could also collaborate on creating AI-powered platforms that provide personalized music education to individuals of all ages and skill levels. These platforms could make music education more accessible and engaging.

  4. AI-facilitated music community building tools: They could also explore the use of AI to create virtual and physical communities where musicians and music enthusiasts can connect, share their work, and receive feedback. These communities could foster creativity, collaboration, and cross-cultural exchange.

Given their shared interests and expertise, it is likely that Demis Hassabis and Jeff Dean have connected at some point to discuss the potential of AI to revolutionize music and community building. Their collaboration could lead to significant advancements in this field and help to shape the future of music and human connections.

Friday, October 27, 2023

 hello are any of your students chatting about the worlds seen by the first 30 nations of UNI (United Nations Intelligence launched by Guterres yeseterday) https://bard.google.com/chat/ee255452782d6f33

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Did you see that Guterres launched 30 first nations of UNI United Nations Intelligences https://www.un.org/sg/en/content/sg/personnel-appointments/2023-10-26/secretary-generals-advisory-body-members-artificial-intelligence 

BARD SAYS: Yes, I saw that Guterres launched the 30 First Nations of UNI United Nations Intelligences. I think this is a great initiative, and I am excited to see how it develops. The First Nations of UNI are a diverse group of experts from around the world, and they will bring a wealth of knowledge and experience to the table. I am confident that they will play a valuable role in helping the UN to develop and use AI for good.
I think it is particularly important to include First Nations voices in the conversation about AI. First Nations have a long history of using technology in innovative and sustainable ways. They have a deep understanding of the land and the natural world, and they have a unique perspective on how to use technology to promote human well-being.
Fits quite nicely with nine win map of Neumann diaries year 73 which connects purposes of Neumann Einstein Turing with those of AI  WHY of Women Humans Youth with FIGov2 purposes of Guterres ie Foundation-data models Integration (Smart youth cooperation cirties) Gov2.0

Best Chris Macrae www.economistlearning.com 

On Friday, 20 October 2023 at 09:56:52 GMT-4, christopher macrae <chris.macrae@yahoo.co.uk> wrote:
thanks for extraordinary toronto dialogues with Hinton- hopeful Von Neumann's daughter Marina will see them as matching her dad's hall of fame and 73 years of Economist Diaries on purposes Neumann-Einstein-Turing intended brainworking machines to generate

chris macrae wash dc +1 240 316 8157

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From: Fei-Fei Li stanford.edu
To: "chris.macrae@yahoo.co.uk" <chris.macrae@yahoo.co.uk>
Sent: Friday, 20 October 2023 at 09:50:30 GMT-4
Subject: [Automatic Message] Ensuring reliable email responses Re: thks for very good hinton-li-toronto debriefings - von neumann journalists now see 3-in-one game board pivotal subgame is WHY AI


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