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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Saturday, December 31, 2022

2022 AI Highlights

 Virtual suumits have become eyeopening in year 3 of covid restriction. Highlight of ai year may be nvidia gtu 2022 March

NVIDIA’s GTC conference is packed with smart people and programming.

The virtual gathering — which takes place from March 21-24 — sits at the intersection of some of the fastest-moving technologies of our time.

It features a lineup of speakers from every corner of industry, academia and research who are ready to paint a high-definition portrait of how they’re putting the latest technology to work.

A Can’t-Miss Keynote

GTC starts with a keynote from NVIDIA founder and CEO Jensen Huang.

Each GTC, Huang introduces powerful new ways to accelerate computing of all kinds, and tells a story that puts the latest advances in perspective.

Expect Huang to introduce new technologies, products and collaborations with some of the world’s leading companies.

The keynote will be live-streamed Tuesday, March 22, starting at 8 a.m. Pacific, and available on-demand afterward. Conference registration isn’t required to watch.

Leaders From Trillion-Dollar Industries

Huang is joined by people at the cutting edge of fields in industry, research and academia who can get you oriented on how accelerated computing is remaking the world.

The event features 900 sessions representing a broad spectrum of organizations, including Amazon, Bloomberg, DeepMind, Epic Games, Google Brain, Mercedes-Benz, Microsoft, NASA, NFL, Pfizer, Visa, VMware, Walt Disney, Zoom and many more.

This GTC will focus on accelerated computing, deep learning, data science, digital twins, networking, quantum computing and computing in the data center, cloud and edge.

In addition to participants from NVIDIA, GTC will feature prominent technology experts including:

  • Andrew Ng, founder of DeepLearning.AI, founder and CEO of Landing AI
  • Bjorn Stevens, managing director and director of The Atmosphere in the Earth System, Max Planck Institute for Meteorology
  • Chelsea Finn, assistant professor of computer science, Stanford University
  • Hao Yang, vice president of AI Research, Visa
  • Jack Jin, lead machine learning Infra engineer, Zoom
  • Joe Ucuzoglu, CEO, Deloitte U.S.
  • Lidia Fonseca, chief digital and technology officer, Pfizer
  • Magnus Östberg, chief software officer, Mercedes-Benz AG
  • Marc Petit, general manager for Unreal Engine, Epic Games
  • Markus Gross, vice president of Research, Walt Disney Studios
  • Michael Russinovich, CTO and Technical Fellow, Microsoft Azure
  • Natalya Tatarchuk, director of global graphics, Unity
  • Peter Stone, executive director, Sony AI, and professor of computer science, University of Texas, Austin
  • Stefan Sicklinger, head of BigLoop and Advanced Systems, CARIAD/VW Group
  • Yu Liu, director of AI, Meta
  • Zoe Lofgren, member of Congress, U.S. House of Representatives

Spotlight on Startups

NVIDIA Inception, a global program to nurture cutting-edge startups with 9,000+ members, will host tracks aimed at helping emerging companies build and grow their businesses and gain industry knowledge.

Sessions designed for venture capital firms include: “Emerging Venture Themes for 2022 – Omniverse + Metaverse” and “Emerging Venture Themes for 2022 – Quantum Computing.”

Learning and Development 

GTC also offers excellent opportunities for new and experienced developers to get training in some of the hottest areas in technology.

It starts with Learning Day on Monday, March 21, and continues all week. There will be sessions in four languages across multiple time zones from NVIDIA subject-matter experts and through NVIDIA’s Deep Learning Institute and the NVIDIA Academy.

Students and early-career professionals can participate in introductory deep learning and robotics courses. These include sessions like “The Right Formula for AI Success: Insights from AI High Performer,” “Deep Learning Demystified” and the “5 Steps for Starting a Career in AI” panel.

More experienced developers can enroll in DLI courses. Participants can dig as deeply as they like, even after the conference ends and earn DLI certificates demonstrating subject-matter competency.

And through the end of March, new members to NVIDIA’s Developer Program can access an additional free GTC DLI course when they sign up.

Developed for IT professionals, NVIDIA Academy will host certified training programs on the data center, InfiniBand, IT infrastructure and networking. The program includes instructor led-training sessions followed by self-paced coursework and proctored certification tests.

Supporting AI Ecosystem for All

As part of NVIDIA’s commitment to making AI accessible for all developer communities and emerging markets, numerous sessions will showcase how developers and startups in emerging economies are building and scaling AI and data science.

Sessions for emerging markets include “Look to Africa to Advance Artificial Intelligence” and “Democratizing AI in Emerging Markets Through the United AI Alliance.”

NVIDIA also provides free credits for DLI courses to minority-serving institutions, from community colleges to historically Black colleges and universities.

Visit the GTC site to register for free.

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