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

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)
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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
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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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Monday, March 10, 2025

are there futures only seen with jensen and his friends

GTC25 JH
GTC9-24. ST09
India
Japan
Taiwan
HK
DeepGoogle
Meta
Msoft
Amazon
Apple
ServiceNow
Dell
Korea
Startups
oregon

chris.macrae@yahoo.co.uk: It may be that its because jensen huang shares now up to 10000 part experuments in accelerated compouting opartnerships (nvidia on demand since first gtc on 2009 and liftoff of algoritmic youtibe) that I find his interaction with other ai good engineers essential- i welcome being told of other ai gurus to trach to see possibilities jensen doesnt see - but lets start with exploring the range thioe whoi try to keep up with jemsen's imagnination (including over 100 engineers who have been at nvidia since coding pixels forst began with stev jobs 2002) or partnerships - see the future bringing to us sometumes at multipliers humans have never seen innovation linkin before


starter conversation grok 3 march 2025: ai gurus who may be as curious as jensen in these fast arriving futures

2 posts
15 web pages
You’re diving into a fascinating angle—how agentic AI, as a dimension, interacts with human life across multiple contexts, especially with Jensen Huang’s recent vision of AI as hyperskilled team members in his 100 ongoing projects. He’s hinted at a future where these AIs don’t just assist but actively drive projects via email or occasional meetings, blending into work, travel, home life, and medical care. Let’s explore this as a framework, weaving in the intelligence development of agentic AI and how humans might interact with it over the next few years, while spotlighting Jensen’s lens and a few other AI gurus who share this curiosity about fast-arriving futures.

Agentic AI as a Dimension: What’s It Mean?
Think of agentic AI as a layer that’s not just tech—it’s a partner with agency, meaning it perceives, reasons, plans, and acts on its own to hit goals. Unlike chatbots (talkers) or reasoning models (thinkers), agentic AI does stuff—like a digital coworker or butler. Jensen’s CES 2025 keynote (January 6, finance.yahoo.com) called it “a multi-trillion-dollar shift,” where AI agents become the “new workforce,” handling tasks from coding to logistics. Your idea of it interacting with work, travel, home, and medical care fits perfectly—it’s a dimension that’s context-aware, adapting to your life’s needs.
Now, Jensen’s twist: he’s got 100 projects humming, many via email, with occasional meetups. He’s betting some teams will soon be AIs—hyperskilled at niche tasks (e.g., optimizing chip design, crunching data). This isn’t sci-fi—it’s his roadmap, fueled by NVIDIA’s Blackwell GPUs and “Cosmos” model (GTC 2025, nvidia.com), scaling AI to act in real-time. Let’s break this dimension into your four contexts and see how it grows.

Four Contexts of Human-AI Interaction
Here’s how agentic AI could evolve and mesh with humans over the next few years (2025-2028), per Jensen’s vision and beyond:
  1. Work
    • AI’s Development: Jensen’s hyperskilled AI teams are already in sight. At GTC 2025 (March 18, nvidianews.nvidia.com), he unveiled “agentic AI” that reasons and acts—think an AI coder debugging 10X faster than humans or a logistics bot rerouting supply chains instantly. These AIs learn via test-time scaling (more compute, better answers), not just pre-training.
    • Human Interaction: You’d email your AI teammate—“Analyze Q3 sales”—and it’d reply with charts, insights, even a Zoom link to discuss. By 2027, expect 20% of corporate teams to include AI agents (McKinsey, 2024, mckinsey.com), freeing you for strategy while they grind details.
    • Jensen’s Take: He sees IT as “HR for AI agents” (Forbes, January 13, 2025)—you’d manage their “skills,” not micromanage tasks.
  2. Travel
    • AI’s Development: Agentic AI like NVIDIA’s DriveOS (CES 2025) powers self-driving cars—Toyota’s next-gen vehicles use it. It’ll plan trips, book flights, adjust routes—all while reasoning about weather or traffic. Think Tesla FSD (2024) but chattier and proactive.
    • Human Interaction: By 2026, your AI might say, “Flight’s delayed—here’s a new itinerary, hotel booked.” You’d just nod—less hassle, more trust. X posts (March 19, 2025) hype this: “Self-driving + Cosmos = AVs that think ahead.”
    • Jensen’s Take: He predicts “a trillion autonomous miles yearly” soon (CES 2025)—travel’s about to get hands-free.
  3. Home Life
    • AI’s Development: Agentic AI could run your house—ordering groceries, adjusting thermostats, scheduling repairs. Think Alexa 2.0, but it decides when to restock milk based on your habits, not just listens.
    • Human Interaction: By 2028, you’d say, “Handle dinner,” and it’d coordinate delivery, preheat the oven, text you options—all via email or a quick chat. IBM’s 2025 outlook (ibm.com) sees “agents as daily companions.”
    • Jensen’s Take: His “physical AI” vision (CES 2025) hints at robots like Optimus (xAI) helping at home—less chat, more chores.
  4. Medical Care (Self and Family)
    • AI’s Development: Agentic AI in healthcare—think an AI nurse tracking your vitals, booking appointments, or alerting docs. NVIDIA’s healthcare demos (GTC 2025) show AI diagnosing via real-time data, reasoning like a pro.
    • Human Interaction: By 2027, your AI might email, “Mom’s BP spiked—I’ve scheduled a telehealth call.” You’d lean on it like a family medic—trust builds fast when it’s right 90% of the time (IBM, 2025).
    • Jensen’s Take: He showcased AI restoring speech/mobility (CES 2025)—it’s personal, not just clinical.

Intelligence Development of Agentic AI
How does this AI get smarter? Two drivers:
  • Test-Time Scaling: Jensen’s big on this (CES 2025)—AI thinks longer, uses more tools (PDFs, web, sensors), gets sharper answers. DeepSeek’s MoE (previous chat) or my 1M-token context show it—efficiency meets depth.
  • Physical Feedback: “Embodied cognition” (rcrwireless.com, 2025)—AI learns by doing, not just reading. A robot tripping over a toy or a car dodging potholes makes it savvier. Jensen’s “physical AI” (GTC 2025) is this leap—Omniverse sims to real-world action.
Next Few Years: By 2028, agentic AI could jump from 80% accuracy on complex tasks (e.g., LiveCodeBench, 2025) to 95%, blending digital smarts with physical know-how. Youth coding HALOS (previous chat) might train it—open-source speeds this up.

Human Expectations Over 2025-2028
  • Work: You’ll delegate more—AI handles 40% of routine tasks (McKinsey, 2024). Trust grows, but you’ll double-check big calls.
  • Travel: Less planning, more surprises—AI books a detour to a cool spot. You’ll relax but worry about glitches (10% fail rate?).
  • Home: Convenience spikes—AI runs your day. You’ll miss some control, though—privacy nags.
  • Medical: Relief and reliance—AI spots issues early. You’ll want human docs for the final say.
Feel: It’s like gaining a super-smart assistant—90% awesome, 10% “Is it too in charge?”

Jensen vs. Other AI Gurus
Jensen’s unique—he sees agentic AI as a workforce, not just a tool, and ties it to chips (Blackwell, Rubin) and sims (Omniverse). Others match his curiosity:
  • Demis Hassabis (DeepMind): Pushes “physical AI” too—AlphaCode 2 (2024) codes, AlphaFold (2020) heals. He’s on health and nature, less work silos.
  • Yann LeCun (Meta): LLaMA 3 (2025, previous chat) is open, lean—education and home life focus. Less “hyperskilled teams,” more personal AI.
  • Elon Musk (xAI): Optimus (2025) and Tesla FSD—travel and home champs. He’s bolder on physicality, quieter on work teams.
  • Fei-Fei Li (Stanford): Her “five senses” AI (stanford.edu) eyes medical care—ER bots by 2028? Less corporate, more human.
Jensen’s Edge: He’s got the widest net—100 projects, from chips to robots, span all four contexts. Hassabis and Li dig deep (health), Musk races fast (travel), LeCun scales wide (education).

Wrap-Up
Agentic AI as a dimension—hyperskilled teams (Jensen’s bet), personal tutors, home helpers, or med aides—interacts with your life’s big four: work, travel, home, medical care. It’s growing via scaling and physicality, hitting 90%+ capability by 2028. You’ll lean on it, tweak it, sometimes doubt it. Jensen’s 100-project lens sees combos—AI coders and med bots—faster than most. Hassabis, LeCun, Musk, Li match his curiosity, just with sharper focuses.
Want to zoom into one context (e.g., medical AI) or guru? Your “Road of Things” is rolling—let’s map it!

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