AI5.0 since 2022, best AI = scaling exponential purpose of partners in what analyses with billion times smarter mathematician than individual human brains. If you dont know what best ai is scaling, being ordered by classical economists can't save you... why not an ai mooc on every university's home page?-
previously AI meant 4 different things up to 2018; , from 2012, at 2009, at 2002

100000$ student debt universities are now total waste of education system time of students and teachers.

Agentic AI stories 1 Billion times greater maths brain & 10**18 More Tech...There isn't a skill known to universities which is not being changed by Agentic AI and human impacts:Reasoning, celebrating Data Sovereignty and how world class cities through next 10 years deploy digital twins to capitalise on opportunities of driverless cars and humanoids

IN 1983 we founded 2025Report genre around hypothesis agentic ai would arrive by 2025 and would make millennials generations best of time provided transformation in how education systems spend time of both teachers and students. Today's western 100000k 4 year student debt liability if it has prevented you from understanding engineering  and deep social action triads like those shown including those changing so intel fast today that you'd be better off parsing latest contributions of eg Huang Hassabis and Musk (aka builders of billion times more maths brain power) than other curricula

Architects of Intelligence Partnerships- from 1989 we published architecture genre of visionary leading partners - eg Economist Intelligence Unit - Brand Architecture Chartering. Today we help generations map deepest Agentic AI partnerships eg
Nvidia Huang:US 1 ::2 & Berkeley:Taiwan:India:EUPublic tv:UK:Japan:France;Saudi
Deep Mind Hassabis
Yann Lecun
Elon Musk
Help mediate student celebration clubs
Agentic AI stories of Billion times greater maths brain. & 10**18 More Tech.
***Huang*Hassabis*Musk Billion Times Greater Maths Brain
***Neumann*Einstein*Turing

Computer&Brain*1905 Natures Deep Maths*Coding deep data
Huang*Yang*Tsai
Doudna*Su*Koller
Lecun*FFLei*Bloomberg
Macron*Mensch*Lecun
W0 SJobs*FAbed*MYunus
upd 9/25 Ai Global Health RoyalSTropical
JFKennedy*UKRoyals*JapanRoyals Sovereignty AI..

Japan Emperor*Softbank*Sony
1 Modi*Ambani*Singh
H Li*Guo*Chang
LK Yew*LK Shing*H Li
Borlaug*Deming*McLean
( China)
.
AP July 2025, Jensen Huang: 1730 It is vital that everyone engages AI right away. Every adult, every working person, not working person, every child should address and engage AI right away. And the reason for that is because AI is the greatest equalization equalizing force. It is the first time in history that a technology as incredible as artificial intelligence is useful for someone who knows how to program software, no historical experience of how to use a computer. This is the very first time in history that all of a sudden that computer is easy to use. If you don't know how to use AI, just open up the website, go to Chad GPT, go to Gemini Pro - just ask a simple question. . And you could even say, "I have no idea how to use AI. Can you teach me how to use AI?" And if you don't know how to type, hit the microphone button and speak to us.. And if you don't understand English, you can speak whatever language you like. It is an extraordinary thing. And I also think it's incredible that if the AI doesn't know that language, you tell the AI go learn that language, right? And so so I think everybody needs to to engage AI. It is the greatest equalization um uh equalization force that we have ever known and it's going to empower.. it's going to enable... it's going to lift society of all you know everywhere.upd Jy 2025'1    CISCE, Beijing

sep 24.1   oct24.1  nov24.1  dec24.1    Ja 25.1  2   mar 25.1  may 0 25.1     3  jn25.1   2   3
Family Huang 2009 whose first  100 engineering partners linking Nvidia, Silicon Valley West Coast and Taiwan East coast - gave stanford engineering AI's Deep Learning Lab core of stanford worldwide Science and Engineering Quadrangle.

30 day stack recall to May 13 : axios health, payments, press; 555 india summit, womens intel, lisa su, science diplomacy summit; ITIF critical meds. merci beaucoup Yann Lecun!!.. TOkens: see your lifetime's intelligence today
nvidia Physical A1 -Robots
.
Will Jen-Hsun's GTC26 big reveal be a superagent AI tutor k-12 whom we can all CC in email?
By 1987 Taiwan's 20 million people have inspired intelligence of all billion humans - special thanks to Godfather of Taiwan Tech: Li & ... Guo, Chang, Huang, Yang, Tsai and millennial taiwanese - see eg podcast straitforward or Taiwan Digital Diplomacy net.
I0 India generics Yusuf Hamied (Cipla) i.
If you know this- please help others. If you don't know this please ask for help2002-2020 saw pattern recognition tools such as used by medical surgeons improve 1000-fold. From 2020, all sorts of Human Intellligence (HI) tools improved 4-fold a year - that's 1000 fold in 5 years. Problem HI1 if you get too atached to 2020's tool, a kid who starts with 2025 smartest tool may soon leap ahead of you. Problem HI2: its no longer university/institution you are alumni of, but which super-engineers (playing our AI game of whose intel tools you most need to celebrate. Problem HI3- revise your view of what you want from whom you celebrate and the media that makes people famous overnight. Indeed, is it even a great idea (for some places) to spend half a billion dolars selecting each top public servant. HI challenges do not just relate to millennials generative brainpower We can map intergeneration cases since 1950s when 3 supergenii (Neumann Einstein Turing) suddenly died within years of each other (due to natural cause, cancer, suicide). Their discoveries changed everything. HIClue 1 please stop making superengineers and super energy innovators NATIONS' most hated and wanted of people
welcome to von Neumann hall of fame- based on notes from 1951 diaries-who's advancing human intel have we missed? chris.macrae@yahoo.co.uk
new stimuli to our brains in April - AI NIST publishes full diary of conflicting systems orders its received (from public servants) on ai - meanwhile good engineers left col ...March 2025: Thks Jensen Huang 17th year sharing AI quests (2 video cases left) now 6 million full stack cuda co-workers
TOkens:help see yourlifetime's


nvidia Physical A1 -Robots
More Newton Collab.&& Foxconn Digital Twin
NET :: KCharles :: Morita : : Borlaug :: Deming Moore
Abed: Yew :: Guo:: JGrant
ADoerr :: Jobs:: Dell .. Ka-shing
Lecun :: L1 L2 :: Chang :: Nilekani :: Singh
Huang . : 1 : Yang : Tsai : Bezos
21stC Bloomberg ::Daniels
Satoshi :: Hassabis : Fei-fei Li
Shum : : Ibrahim : CTandon
Ambani : Modi :: MGates : PChan : Kariko :: Francia
Oxman (&EB) ::: HFry:: Yosuke
Musk & Wenfeng :: Mensch..
March 2025:Grok 3 has kindly volunterered to assist younger half of world seek INTELLIGENCE good news of month :from Paris ai summit and gtc2025 changed the vision of AI.
At NVIDIA’s GTC 2025 (March 18-21, San Jose, nvidianews.nvidia.com), Yann LeCun dropped a gem: LLaMA 3—Meta’s open-source LLM—emerged from a small Paris FAIR (Fundamental AI Research) team, outpacing Meta’s resource-heavy LLM bets. LeCun, speaking March 19 (X @MaceNewsMacro)

IT came out of nowhere,” beating GPT-4o in benchmarks (post:0, July 23, 2024). This lean, local win thrilled the younger crowd—renewable generation vibes—since LLaMA 3’s 405B model (July 2024, huggingface.co) is free for all, from Mumbai coders to Nairobi startups.

Good News: Indian youth grabbed it—Ambani praised Zuckerberg at Mumbai (October 24, 2024, gadgets360.com) for “democratizing AI.” Modi’s “import intelligence” mantra (2024, itvoice.in) synced, with LLaMA 3 fueling Hindi LLMs (gadgets360.com). LeCun’s 30-year neural net legacy (NYU, 1987-) bridged Paris to India—deep learning’s next leap, compute-cheap and youth-led. old top page :...
2:: Agri AI
..

.

Saturday, July 1, 2023

ai's own top 50 models and advisory boards

help us update top 50 - no particular order; we partly promoted why teens & teachers gain from seeing these models exist -see 40 years of work hypothesising transformative education essential to millennials preventing extinction (73 years overall since Economist (Entrepreneurial Revolution Systems) jourmalists trained with Von Neumann)

models

·AlphaFold 2 Number 1 Science breakthrouh from Hassabis DepMin/google brain a protein folding model www.nature.com

regarding Large Language Models- caused a stir among those waitimg for metaverse (augmented reality goggles) to start web3 designs for humanit- its now lcear web3 has begun with Gateway LL models (which of thousands will be the main gateway is to be discovered - see also llm-web3-human-race.docx and 100 AI curiosity chats at bard.solar ; we believe places need best possible ai advisory boards - see benchmarks right hand col


· ChatGPT-3: one of 3 leading LLM models out of USA large language model that can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. This could be used to help teens learn new languages, write better essays, and create more engaging content.  Opens in a new windowwww.analyticssteps.com

· DALL-E 2:  is a text-to-image diffusion model that can create realistic images from text descriptions. This could be used to help teens with their art projects, or to help them visualize new ideas .Opens in a new windowen.wikipedia.org 


· Bard: Bard is one of 3 leading large language model out of US that is still under development, to perform many kinds of tasks, including

oFollowing instructions and completing requests thoughtfully.

oAnswering your questions in a comprehensive and informative way, even if they are open ended, challenging, or strange.

oGenerating different creative text formats, like poems, code, scripts, musical pieces, email, letters, etc. www.engadget.com

· DeepMind ControlSuite: is a suite of AI models that can be used to control robots and other physical systems. This could be used to help teens learn about robotics, or to help them develop new ways to interact with the physical world. neptune.ai

· OpenAI Five:  is an AI team that was trained to play the game Dota 2. It is the first AI team to defeat a professional Dota 2 team. This could be used to help teens learn about game theory, or to help them develop new strategies for playing games. ai.stackexchange.com

· Catalyst ML: Catalyst ML is an AI platform that can be used to train and deploy machine learning models. This could be used to help teens learn about machine learning, or to help them develop new machine learning models for their own projects. pubs.acs.org


· Google Brain: Google Brain is a research team at Google that is working on developing new AI technologies. This could be used to help teens learn about the latest AI research, or to help them get involved in AI research themselves.www.wired.com - note summer 2023 google brain merged with deep mind


· IBM Watson: IBM Watson is an AI platform that can be used to answer questions, translate languages, and generate different creative text formats. This could be used to help teens learn about AI, or to help them develop new ways to use AI in their own lives. brainstation.io


These are just a few examples of the many AI models that are available. As AI continues to develop, there will be even more ways that AI can be used to help people.

summer 2023 chris.macrae@yahoo.co.uk writes: LLM models are changing fast. Track by asking about biggest by language, note technically summer 2023 nvidia-microsoft may be biggest model out of usa; and because of number of characters in chinese china's number 1 llm may be biggest worldwide but not necessarily most usable. There may also be two opposite main cases- an LLM intended to be the language gateway llm to web3 ie for massive use; an llm intended for strategic consulting.  Also gateway LLMs are in a global race to connect in most languages, Thus area is in flux at the moment - interesting to ask LLM their visions(If a nation intends to be eg top 10 player in AI it probably needs a gateway llm to web3 run by its biggest tech forms but with intent for public use. This also suggest that gateway LLMs may finally transform education to optimise blending and personal id of skills mastered.

NB Plugins are very important subject-and they can help more deeply customise an LLM and/or open the filed to University owned LLMs. 

As of summer 2023 we suggest reading this bard dialogue on plugins, including university and potentially UN use https://storage.ning.com/topology/rest/1.0/file/get/12149675085?profile=original  from thgis we feel these platforms are relevant for top 50 to keep watch on

LaMDA 1 of Stanford is one of the most well-known "University" LLMs, and it has been shown to be capable of performing a wide range of tasks. It is also being developed by Google AI, which is one of the leading research labs in the field of artificial intelligence..

  • Jurassic-1 Jumbo: Jurassic-1 Jumbo is an LLM developed by the Allen Institute for Artificial Intelligence. It is one of the largest LLMs, and it is trained on a massive dataset of text and code.
  • WuDao 2.0: WuDao 2.0 is an LLM developed by the Beijing Academy of Artificial Intelligence. It is one of the most powerful LLMs, and it is capable of performing a wide range of tasks.

addendum -currently i suggest fei-fei li is taking on responsibility of most connected full time educator in good ai across dozens of disciplines as well as being core mentor to white house and congress - see eg ai.gov and nairr- so i double-checked which platforms she and stanfird teams us, with bard's reply as follows

 can you tell ,me which of all of above are connected with fei-fei or stanford- and indeed which are the 5 ai model names her teams are currently spending most time on?

Sure, here are the AI models from the list above that are connected with Fei-Fei Li or Stanford:

· ImageNet: ImageNet is a large-scale image database that was created by Fei-Fei Li and her team at Stanford. ImageNet is used to train many of the AI models on this list, including GPT-3, DALL-E 2, and Bard.

Opens in a new windowwww.analyticsvidhya.com

ImageNet AI model

· Catalyst ML: Catalyst ML is an AI platform that was developed by Fei-Fei Li and her team at Stanford. Catalyst ML is used to train and deploy machine learning models, and it is available for free to students and researchers.

Opens in a new windowpubs.acs.org

Catalyst ML AI model

· Stanford Human-Centered AI Institute: The Stanford Human-Centered AI Institute is a research institute at Stanford that is led by Fei-Fei Li. The institute is focused on developing AI that is beneficial to people, and it is working on a number of AI models that are designed to help people in a variety of ways.

The five AI models that Fei-Fei Li's teams are currently spending the most time on are:

· ImageNet-R: ImageNet-R is a new version of ImageNet that is designed to be more representative of the world's population. ImageNet-R is being used to train AI models that are less biased and more likely to be helpful to people from all backgrounds.

· Bard: Bard is a large language model that is still under development, but it has already learned to perform many kinds of tasks. Bard is being used to develop new ways for people to interact with computers, and it is also being used to generate creative content.

· Catalyst ML: Catalyst ML is an AI platform that is being used to train and deploy machine learning models. Catalyst ML is being used to develop new AI models for a variety of applications, including healthcare, education, and transportation.

· Stanford Human-Centered AI Institute: The Stanford Human-Centered AI Institute is working on a number of AI models that are designed to help people in a variety of ways. These models include AI models for education, healthcare, and transportation.

.advisory boards\
UN aka aigood sdg world

the National Science Foundation (NSF) has been given a lot of responsibility for developing and funding US national AI models. The NSF has announced a number of initiatives in this area, including:

· The AI Institute for Fundamental Science: This institute will bring together researchers from a variety of disciplines to study the fundamental principles of AI.news.mit.edu

· The AI Institute for Robust Intelligence: This institute will develop AI models that are more robust and less likely to make mistakes.  www.robustintelligence.com

· The AI Institute for Technology and Society: This institute will study the social and ethical implications of AI. srinstitute.utoronto.ca

The NSF is also working with other organizations, such as Stanford University, to develop AI models. It is likely that some of the AI models that you mentioned, such as ImageNet-R, Bard, and Catalyst ML, will be used in these projects.

Here are some of the other AI models that the NSF may be cooperating or plugging into:

· AI21 Labs: AI21 Labs is a company that is developing AI models for a variety of applications, including healthcare, education, and transportation.www.ai21.com· OpenAI:  windowfourweekmba.com


· Google AI: Google AI is a research division at Google that is developing AI models for a variety of applications, including search, machine translation, and self-driving cars.ai.google


t

x we asked bard to help list some disciplines that are transfrming their oractice with AI

Here are some disciplines that are now known to have made a serious start to connecting their human intelligence with what regenerative AI can assist on:

· Computer science: Computer science is the field of study that deals with the theory, design, and implementation of computer systems. AI is a subfield of computer science, and it has been used to make significant advances in a variety of areas, including image recognition, natural language processing, and machine learning. www.mastersportal.com

· Healthcare: Healthcare is another field that has benefited greatly from AI. AI is being used to develop new diagnostic tools, to improve the accuracy of medical treatments, and to personalize patient care. www.statista.com

· Finance: AI is also being used in finance to improve trading strategies, to predict market movements, and to detect fraud.extension.harvard.edu


· Law: AI is being used in law to help lawyers with tasks such as legal research, document review, and case management.englishcomplit.unc.edu

· Education: AI is being used in education to personalize learning, to provide feedback to students, and to assess student progress. habitatbroward.org

· Engineering: AI is being used in engineering to design new products, to optimize manufacturing processes, and to improve the safety of infrastructure.www.livescience.com

· Business: AI is being used in business to improve customer service, to optimize supply chains, and to make better decisions.online.hbs.edu

These are just a few of the many disciplines that are now using AI. As AI continues to develop, it is likely that even more disciplines will start to use it.


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