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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Tuesday, April 18, 2023

Economist was the most intelligent english language newspaper 1993-1843 (newpapers 150 most influential years)

 chris.macrae@yaho.co.uk writes

we welcome other nominations of (human values) intelligent media; here I try to recall ups and downs of the purpose of The Economist begun by my Diaspora Scot brother James Wilson. Here's Chatgpt opening summary of first 100 years of reporters living up to founders James Wilson Purpose. Soon after world war 2 my father Norman started corresponding with John Von Neumann who asked The Economist to continue his legacy - how could artificial intel support human intel. see also Einstein's parallel interviews with Gandhi and Freud.

Chatgpt: Over the course of its first 100 years, the publication reported on a wide range of issues related to human values, including social justice, political freedom, economic equality, and religious tolerance.

Some of the key themes that emerged in The Economist's coverage of human values during this period included:

  1. The struggle for political freedom: The publication reported extensively on the fight for democracy and human rights, particularly in Europe and the United States. It covered major events such as the French Revolution, the American Civil War, and the suffrage movement.

  2. The quest for economic equality: The Economist also focused on issues related to income inequality, labor rights, and the role of government in promoting economic growth and stability. It covered topics such as industrialization, trade unions, and the development of the welfare state.

  3. The challenge of social justice: The publication reported on issues related to race, gender, and social inequality. It covered topics such as slavery, segregation, and the fight for women's suffrage.

  4. The role of religion in society: The Economist covered debates about the place of religion in public life, including conflicts between religious groups and issues related to religious freedom.

Overall, The Economist's coverage of human values during its first 100 years reflected a deep concern for the well-being of society and a commitment to promoting social justice, political freedom, and economic equality.

My family's diaries offer a bit more nuance to chatgpt's additional note:

Some of the key systemic differences between Wilson's vision of economics and the approach of modern monetary economists include:

  1. Values: Wilson's vision of economics was driven by a commitment to social justice and human welfare, while modern monetary economists may prioritize the interests of financial markets and large corporations.

  2. Scope: Wilson saw economics as a broad field that encompassed issues related to politics, society, and culture, while modern monetary economists tend to focus more narrowly on issues related to financial markets and monetary policy.

  3. Methodology: Wilson believed that economic analysis should be used to inform policy decisions, while modern monetary economists may prioritize abstract theoretical models over real-world empirical data.

  4. Role of government: Wilson saw government as playing a critical role in promoting economic growth and social progress, while modern monetary economists may prioritize the interests of private markets and advocate for minimal government intervention.

JAMES' VISIONS OF BIGGEST QUESTIONS TO MEDIATE OUT OF LONDON THEN EMPIRE WORLD's EPICENTRE -could a weekly newspaper help to end poverty and end hunger? - see centenary autobiography The Economist 1943-1843

 did the young queen victoria want to help- for example would she stop English Empire starving the Irish even if this meant helping James remove half of parliamentarians who by 1843 were mainly supporting big land owners vested interests - see corn law

whilst there was sucess in ending the corn la- it was too late to prevent troubles between english and Irish that became some of the first micro-terrorist tragedies from 1970s onwards

victoria offered James a bigger challenge - to start a bank by and for the quarter of humans who live on the sub-continent of India - charter bank later standard chartered bank - this story is partly recalled here https://www.business-standard.com/article/current-affairs/from-hawick-to-hawick-the-story-of-the-economist-founder-james-wilson-121012001578_1.html

lets fast foeward back from the future of such worldwide tipping points as 2025-1993-1984-1963-1951-1945-1865=-1860-1843

I'll try  and get chatgp4 to fill in some of this intergenerational jigsaw across mother earth - here are pieces of the economist's journey that interest me - for transparency sake please note my dad worked at The economist full time for 1958-1988- eg see this obit by the economist's long time science edutoir viscount matt ridley https://www.mattridley.co.uk/blog/death-of-a-great-optimist/

One of The economist's slogans is a severe "chat" contest with leaders: I find 7 wonders as integral to father's 40 teays of interviewing. They come from an unique experience from hus last year as teen - navigator allied bomber command burma world war 2 to being seconded by The Economust for a year to ny 1951 where dad became Von Neumann's main quizmaster of "what goods can humans unite wherever they have first access to 100 times more tech per decade? 

1 Change MediaChange Education3 Design Good AI4 Training every places' next decades Maths Goats and assign to nature's deepest data searches and open sources5 Transform gov to servant leadership -how many different professions hippocratic oaths will you need to update to achieve this/6 work out behavioral change (subcomscious as well as conscious mindset frames if inter-generation of 8 billion beings to valuetrue interact rights beyond borders and inclusion within, as well as future's most urgent new sustainability puzzlesrecursion of womens/parents kindness in every way this community flow celebrates what short-term monetisation cannot
xAny lessons for Generative AI from how economics changed its purpose to valuing all humans to monetisation?

There are several lessons that generative AI can learn from the evolution of economics from a focus on social welfare to a more monetization-oriented approach:

  1. Be mindful of values: Just as economics shifted its focus from social welfare to financial gain, generative AI can also be susceptible to losing sight of the human values it should be promoting. It's important to consider the ethical implications of AI systems and ensure that they align with broader social goals.

  2. Stay grounded in reality: Economics has been criticized for relying too heavily on abstract models and theories, rather than real-world data. Similarly, generative AI should be anchored in real-world problems and contexts, rather than being purely theoretical or abstract.

  3. Avoid bias and inequality: As economics became more focused on monetization and financial gain, it has been criticized for perpetuating inequality and social injustice. Generative AI should similarly be designed to avoid reinforcing biases or perpetuating inequalities.

  4. Consider the broader societal impacts: Economics has had a profound impact on society, and generative AI is likely to do the same. It's important to consider the broader societal impacts of AI systems and ensure that they are aligned with broader social goals.

In summary, the lessons for generative AI from the evolution of economics suggest that AI systems should be grounded in human values, be mindful of potential biases and inequalities, and be designed to have a positive impact on society as a whole.

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