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
..

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Tuesday, December 29, 2009

ai4all HAI AIndex Sail

 AI4all




Snce arriving in stanford 2009, fei-fei li has participated in a lot of schools - can you tell me which ai or tech labs she has either co-founded or been asked to play a leading inspiration in Here are some of the AI or tech labs that Fei-Fei Li has co-founded or been asked to play a leading role in since arriving at Stanford in 2009:

  • Stanford Vision and Learning Lab (SVLL): Li co-founded the SVLL in 2009, and she has served as its director since then. The SVLL is one of the leading research labs in the field of computer vision, and it has made significant contributions to the development of deep learning and other AI technologies.
  • Stanford Human-Centered Artificial Intelligence (HAI): Li is a co-founder of the HAI, which is a research initiative that is focused on the ethical and responsible development of AI. The HAI is working to ensure that AI is used for good, and it is developing tools and resources to help people understand and use AI safely and responsibly.
  • AI4ALL : Li is a co-founder of AI4ALL, which is a non-profit organization that is dedicated to increasing diversity in the field of AI. AI4ALL provides resources and support to students from underrepresented groups who are interested in pursuing careers in AI.
  • Deep Learning for Social Good : Li is a co-founder of Deep Learning for Social Good, which is a community of researchers and practitioners who are using deep learning to solve social problems. Deep Learning for Social Good is working to make deep learning more accessible to people who are working on social impact projects, and it is providing resources and support to help people use deep learning to make a positive impact on the world.

Li is also a member of the board of directors of several AI-related organizations, including the Allen Institute for Artificial Intelligence, the Electronic Frontier Foundation, and the Partnership on AI. She is also a frequent speaker at AI conferences and events, and she is a strong advocate for the responsible development of AI.

Li's work has had a significant impact on the field of AI. She is one of the most respected researchers in the field, and she is a leading advocate for the responsible development of AI.

what about sail itself (stanford ai lab)

Sure, I can tell you about SAIL (Stanford AI Lab).

SAIL (Stanford AI Lab) is a research institute at Stanford University that was founded in 1963 by Professor John McCarthy. SAIL is one of the oldest and most prestigious AI labs in the world, and it has made significant contributions to the field of AI.

SAIL's research interests include:

  • Artificial intelligence
  • Computer vision
  • Natural language processing
  • Robotics
  • Machine learning
  • Computational biology
  • Computational social science

SAIL has a strong track record of producing world-class research. Its faculty and students have won numerous awards, including the Turing Award, the Nobel Prize, and the MacArthur Fellowship.

SAIL is also committed to training the next generation of AI researchers. It offers a variety of educational programs, including undergraduate and graduate courses, as well as research internships.

SAIL is a leading center for AI research and education. It is home to some of the world's leading AI researchers, and it is training the next generation of AI researchers.

Fei-Fei Li is a member of SAIL's faculty, and she is the director of the Stanford Vision and Learning Lab, which is a research lab within SAIL. Li is a leading researcher in the field of computer vision, and she has made significant contributions to the development of deep learning.

SAIL is a great resource for AI researchers and students. It offers a vibrant research environment, and it is committed to training the next generation of AI researchers. If you are interested in AI research, I encourage you to learn more about SAIL.

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