2025 A VERY HUMAN CRISIS. Today, intelligence tools exist to deep-context help you all (individually, team, communally) be up to 1000 times more productive at work or in hobbies' and love's experiential joys. Why type 4 engineers need coding help from all gilrls & boys 3rd gade up.
TOkens: see your lifetime's intelligence today
nvidia Physical A1 -Robots
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.. 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 suregons 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
intelligence today

nvidia Physical A1 -Robots
More Newton Collab.&& Foxconn Digital Twin
k translatorsNET :: KCharles :: Morita : :Moore
Abed: Yew :: Guo:: JGrant
ADoerr :: Dell .. Ka-shing
Lecun :: L1 L2 :: Chang :: Nilekani
Huang . : 1 : Yang : Tsai : Bezos
21stC Bloomberg
Satoshi :: Hassabis : Fei-fei Li
Shum : : Ibrahim :
Ambani : Modi :: MGates : PChan :
HFry:: 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 :...
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Sunday, January 1, 2017

wef transcripts from openT
Harnessing Artificial Intelligence to Target Conservation Efforts
The smartphone is the ultimate example of a universal computer. Apps transform the phone into different devices. Unfortunately, the computational revolution has done little for the sustainability of our Earth. Yet, sustainability problems are unique in scale and complexity, often involving significant computational challenges.

Teaching a Machine How to Imagine

We can train computers to learn to recognize objects by giving them millions of examples with the correct answers. A human baby, on the other hand, learns to recognize many concepts and objects all by themself simply by interacting with a few examples in the real world.

Using Cryptography to Redefine Legal Contracts and Public Records

Can we have agreements or the mechanisms for enforcing agreements between governments without having to appeal to the ambiguity of international law?

Language as a Signature of the Flexible Human Mind

To understand human nature, I focus on human language and what it can reveal about how we think. Unlike other animals, humans can communicate an infinite number of thoughts through language. And one reason that language is powerful is because we can use each of our words flexibly, with several different meanings.

Applying Algorithms to Minimize Risk

The United States plants more than 170 million acres of corn and soybeans a year, more than any country in the world. And the primary mechanism in the US that we use to subsidize agriculture is actually called the Federal Crop Insurance Program. So, the crop insurance program in the US is also the largest such program globally, with over $100 billion in liabilities annually. So it’s a very big program.

Mapping the Intricacies of Evolving Food Systems

In many countries, the very ability to eat a food like avocado is a direct benefit of international trade. We are eating on an interconnected planet. Food trade now shapes land use worldwide and is reshaping the food supplies of many nations.

Building Resilient Cities Through Restoration of Fragmented Urban Ecosystems

Cities form a vast global network connected by flows of energy, food, information. This global network is the challenge of the 21st century. How do we make more sustainable cities, with smaller ecological footprints and more equitable human wellbeing?

Decoding Workforce Productivity: Brian Ballard

The Fourth Industrial Revolution is ushering in a significant increase in connected machines, connected products. And at the same time, the people who are standing next to these highly sophisticated machines are ultimately connected in their home lives. They carry a cell phone that’s managing their smart car, their smart home, their smart systems. But they have almost no interaction with the systems at work.

Decoding Workforce Productivity: Benjamin Waber

I could ask you questions about where your customers buy products, or what sort of products they buy. And you could give me very detailed answers. But I could ask relatively similar questions about what goes on within your company that you can’t answer.

Decoding Workforce Productivity: Nita A. Farahany

Are there any limits to the connected workplace? Are there any concerns about the connected workplace? Is there any way in which you wouldn’t want either yourself or an employee to be connected? Are there any limits to the kinds of information we can gather in order to make our workforces more productive? In order to make our overall society more productive?

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