Help welcomed ongoing intelligence Case Search - source Nvidia top 100 partners in 21st C accelerated computing - alphabet olf engineering inteligence - AI, BioI, Trillion$CoroprateI, DiscoveryI, EnergyI, FinananceI, GovI, HealthI, Icubed : 1) your real 1; 2 your digital 1; 3 your brain body and communal wellbeing support from agentic ai

Monday, December 31, 2001

Financial ai update penn ave 701 - june 2025

In june 2025 axios husted 2 innovation events close to penn avenue and 7th street - one with accenture, the other with visa. Both a block away from Bloomberg center which has edgy engineering agendas in health, in daya sovereignty, in areas of foundational tech in government, across cities as transnation educational/intelligence work. Visa details reproduced below. Accenture is arguably among traditional consultants the one that has most trained staff in deep learning ai with nvidia. Here is grok june 2025 on eg jensen hauangs emerging relationships with societal finance ai

 While Huang has not explicitly singled out a financial transformation project as his proudest, his public statements suggest he is most enthusiastic about partnerships that push the boundaries of AI’s potential across industries. For example:

  • Accenture and Microsoft: NVIDIA collaborates with Accenture and Microsoft to deploy AI solutions for enterprises, including financial services. Accenture’s use of NVIDIA’s AI software for data curation and model fine-tuning could support transformative financial applications, such as improving access to credit or optimizing insurance models. Huang’s pride in these partnerships stems from their scale and impact on global industries, but he has not specifically highlighted their financial applications.
  • Stripe: Huang’s praise for Stripe’s founders in the UK reflects their success in using NVIDIA’s GPUs for AI-driven fraud detection and payment processing. While this is transformative for e-commerce, it does not directly address societal issues like student loans or community livelihoods.
  • General AI Infrastructure: Huang’s broader vision, as articulated in keynotes like GTC 2025, is to position NVIDIA as the backbone of AI infrastructure for all industries, including finance. He is likely most proud of NVIDIA’s role in enabling a wide range of AI applications, rather than a single finance-specific project.
Addressing Student Loans and Community Needs
Regarding the specific idea of ending student loans for medical students or supporting community livelihoods through AI, there is no direct evidence that NVIDIA is actively pursuing such projects under Huang’s leadership. However, Huang’s emphasis on AI’s democratizing potential and his educational philanthropy suggest a broader alignment with these goals:
  • Medical Students and AI: NVIDIA’s GPUs are used in medical imaging and drug discovery, which could indirectly support medical students by accelerating research and reducing training costs. For example, AI-driven diagnostics could lower the cost of medical education by automating certain training processes, but this is not a stated goal of NVIDIA’s partnerships.
  • Community Livelihoods: Huang’s vision of “physical AI” and “agentic AI” could enable community-based organizations to develop AI-driven financial tools, such as microloan platforms or budgeting apps tailored to local needs. However, these applications remain speculative without specific NVIDIA projects targeting them.
  • Reimagining the College Model: Huang’s push for AI literacy and tools like Project Digits could disrupt the traditional college model by making high-performance computing accessible to students from diverse economic backgrounds. This could reduce the financial burden of education for millennial engineers, enabling them to innovate in finance or other fields without needing elite, expensive degrees.
Critical Perspective
While Huang’s vision for AI is transformative, NVIDIA’s business model focuses on providing the technological infrastructure (GPUs, software, and platforms) rather than directly developing solutions for specific social issues like student loans or community livelihoods. Huang’s pride in partnerships like Stripe or Accenture likely stems from their ability to showcase NVIDIA’s technology at scale, rather than a deep commitment to their specific business models. The lack of explicit focus on student loan reform or community-driven financial services may reflect NVIDIA’s role as a technology enabler rather than a direct innovator in these areas. Additionally, while Huang’s philanthropy supports education, it is not specifically aimed at eliminating student debt or transforming financial systems for communities.
Conclusion
Jensen Huang appears most proud of NVIDIA’s role in enabling broad AI-driven transformation across industries, including finance, rather than specific projects targeting societal issues like student loans or community livelihoods. His praise for Stripe highlights their success as an NVIDIA customer, but there is no evidence that he views this as his proudest financial partnership. Instead, Huang’s focus on AI infrastructure, agentic AI, and educational initiatives like Project Digits suggests a broader commitment to empowering innovation, which could indirectly support transformative financial models. For medical students, community services, or reimagining the college model, NVIDIA’s technologies have potential applications, but no specific projects in these areas have been publicly championed by Huang. To explore further, you might look into NVIDIA’s partnerships with financial institutions or educational programs, but based on current data, Huang’s proudest moments seem tied to NVIDIA’s overarching AI leadership rather than niche financial transformations.
If you’d like me to dig deeper into any specific NVIDIA partnership or AI application in finance, let me know!


When: Thursday, June 26, 2025 | 5:30 pm - 7:30 pm

 📍 Where: 701 Pennsylvania Ave NW, Washington, DC 20004

 

🧊 1 fun thing: Escape the heat with cold refreshments and AC while exploring Visa’s exclusive new space with an immersive tech-driven experience designed for discovery and engagement.

 

Axios cybersecurity reporter Sam Sabin will host one-on-one conversations with:

  • Will Hurd
    Chief Strategy Officer, CHAOS
    Former U.S. Representative, Texas' 23rd Congressional District

  • The Honorable Eric Swalwell
    Representative, California's 14th District
    Member, House Judiciary and Homeland Security Committees

  • Michael Jabbara
    Senior Vice President, Payment Ecosystem Risk and Control, Visa
    View From the Top segment moderated by Axios' Nicholas Johnston

SDG 1 Money crises an intro

Mobile money reduces paper records and even need for paper m0oney. So where have peoples/communities gained from that. In rural areas (and those without electrocity) people remoned unbanked or trapped by loan sharks. Kenya's mpresa was a big breakthrough geared to remittances. Family members in city or aborad could but mobile points , heve these remtted to vilage where vilage shops could turn points back into money with mobile text pfone being mimnum consumer tech needed allied to solar for recharging. In china alipay took this futuer where much of population leapt from no landline phones to mobile, and no big box retail to ecommerce. I such a system banks with credit cards were not needed to form direct finacing between consumers suppliers, retialers and delivery algorith connectors.

In much of west developed nations, end consumers especially those previously unbanked actually expereinced more expensive systems with efficiency gain going to bankers, big virtual suppliers- it is likely that ai will eventually bring much more transparency at least in those nations wanting millnnials to productively leap ahead in productivity and learning

Of course finace is also driven by big personal spends eg homes and health and student loans. Each of these may become sources of breakthrough in some countries - and where these breakthroughs are dramatic it could be ai will finally bring transprency to costs of every element of buying and selling (the original idea of adam smith)   

 In the Kings English, artificial and engineered are synonyms (refering to man made syste, designs not just nature's whih existed up to 1758. Adam Smith wrote the last book on market exchnages without engineers and the book which corresponded to the first 16 years of engineering. From Scotland 1760s we got engines of physical power, of factory/city automation and transport; the epicented of engineering moved to swutzerland and central europe from 1865 which gave humans elcctricity and telecoms/media. by 1945, humans had endured 2 world wars; and perhaps 30% of humans had experienced 100 times more wealth than before 1760. Access to electricity grids is number 1 facftor; access to shipping across the world's oceans is another.productivity of eg both men and women makes sense too.



here are some questions:

is it possible to design money so that the poorest are included first in positive tech canage

Is it possible to design currencies that are not limited to zero sum (when one side gains while the other loses)



About half of all nations (admittedly 50 are small islands) never had any critical minerals so they had to go into debt even to playb in the carbon age. So not having intel on transparent gren models is trippy unfair to these nations; in debt to get started, often disagvntaged by climate volatiloty heaviest carbo osers have  typicallycaused;  waiting to celebrate green and open learning ages which seem to be eseentials if all milennails are to be first renewable generation

Who are the finacial winners & losers drom wars.

All 3 of these questions were of special concern to Neumann-Einstein-Turing as they coiuld see their legacy computers and aqutonomous machines and impacr on human brains would be far faster than the changes since 1865. If you resad the last chapter of Keunes genear theory of money, interest, jobs you will see that he classifies 2 rtypes of economis - those who make end poverty their hippocrsatic oath and those who don't. 

Its intersing that while the UN came up with now 17 sdgs- there is really little discussion of these monet system crises. However we can chooses cases such as bangladesh which has needede to ask many of the above questions becvause at independence 1971 it was boirn poorest and 8th most populous nation

There is a particular urecncy as Banglasdesh reviews all its knowho with DNobel Laurete DR Yunus "governong " see 1 & 2. There are other cases to study - and questions chris.mavrae@yahoo.c.ouk

9/11 was also a signal that humans were failing to transform millennials intelligence-centric education

 chat with me chris.macrae@yahoo.co.uk if you are interested in saving millenials intellignce (see game  below) or the media crisis of why an earlier generation missed chance to unite in recociling 9/11. Specufically, - why didnt 9/11 unite online peoples launching number 1 web round futirising continuous open survey of what 9/11 meant to trust-flows at every different locality  How can we expect teachers of any grade to help kids progress if  space for common human sense is not accessuble for celebration of human good. (That includes artificial teachers (oe emerging agents) when around 2020 metachats were born rounf analsysing proceedings of digital humanity to date)

Or if you want to check why the 21st C UN believed  it sensible to assemvle annually in the middle of New York (well 1st and 46th)  to ask every human  to chat avout 5 prioruity goals every day as most deeply (human) and fiundtional to connecting with a lots of other innovation wishes (now that we live with 10**18 more technology that kids grew up with in mud 20th C schools


Befeire we discuss this gameboard, my understanding us that our elders who designed the united nations wished 21st c generations to value these foundational interactions (chat with mne if you dusagree- I need to learn to!)

goal 2 end starvation and dhydration is the most urgent correction any of us can make if we see a human starving or dying of lack of clean water (anither explanation of goal 2 is these are energy inouts humans need; while it is true that sice 1760 scots teased the world with engines/artificial energy hungry devices - there's no point building the greatest engines in the world if there are no human s left (more precisely nature would see no point in our species on earth if we did that)

goal 3 asks what other basic health services does every community need enough caring people action so that everyone gets fair chance to live prodictvely to their 60s (or beyond)

goal 4 asks whether we (paremts anf all of us) can design learning so that people dont fail from simple things like  illiteracy - if someone is illiterate age 6 or pver it only takes about 30 hour intervention to cure that; basuc education systems make a list of age relevant interventions including how to help every kid enter intelligent digital world not social media's most ignorant or hate filling ines

goal 5 - seriously id any place relegated half of its people (women or any half) onto less productive status than the other half, it should be obvioius that will generate a place that expomentially collapses

I am not sure if 1 is a goal - its more a sysrem that celebrates cultures i9n which everyone's savings integrates 2 to 5 as well as other needs - basucally however much your philosophy believes adults must take responsibility for theit own lives and not expect endless handouts- there is some age from 0 to 11 or whenever your place makes schooling mandatiry where the responsibility is communal ; if you dont agree with that then you dont agree with any of the safety aims of multilateral system design which emerged after world war 2 to prevent there ever being more world wars

--- back to a first look at transforming to inteligence centric education -which 13 human guides to untelligence are integral to ai agency saving humanirty?


 

 Could i intro you in case we can find something all 3 of want to work on (please edit my intros where misdocued)


Michael has been studying bloomberg 555 and education longer than i

Tom went from jouramlist to 15 years teachuing current affairs in meiddle school New Jersey  to now looking for a position pershaps with philnthropy part of bloomberg.org - tom has fascinating stories of how last few years parents have become very nervous about current affairs and other real world challenges


One of the networks i want to linkin is www.ed3dao.com - in effect led out of new york and PA  is a virtual asociato=ion for up to 100000 teachers who want to help each other do something radical virtual


There is one very simple conte nt  project i have long wanted to find co-editirs/faciliators of as it uodates annually - do you know anyone doing this in west- if you were to form a gropu of each grade ist to 12th whats the one most vital leap each grade of teacher needs to ar leatst know the ai stry of- my point being that over the time kids spend in school the transfromation now is beyond anything previpusly expereinced- encouraging teacxhers to iwn ai as the future affairs q&a seems to me t be important; many chinese speaking countries started doing this in 2015 - i first came across thyem at qatars global education laureates in 2015 the same year as relaunch of sgds; i love wise because its first laureate was fazle abed bangladesh www.abedmooc.com - for me he's the number 1 hero of 1970-2020 empowering asuan women to end rural poverty-


although sadly east coast leb by clintos mucrocreditsummit with dr yunus  usa presented this since 1997 as finance microcredit; steve jobs hosted abeds 65th bitthday party in 2001 so west coast knows bangalde girl empowernent was always an educational movement


The hotspot of community intelligence universities seems to be transformative education and health collages - this is what steve jobs afgeed to help connect from 2001; then he went ill and part fo the fouis got lost but its also why ai out of stanford aleways comes back to conecting educaton and jhelath transformation- and i am desperate to find links on eastv caost blooberg networks and west coast


Stanford is lucky, from Hing King billionnaire it had li ka shing labs fors; then neuroscience schoolls sponsored by the Tsai family; by 2009 stafird was thus ready for both de0fei li and  demis ghssabis deep mind biotech revolution and jensen huang had already worked out tha his gamng computer and medical design patterns need the same deep analysis ; I am still not clear that hopkins has all of this understanding (so far the 555 penn avenue  events U’ve attended have presentented parts but not the connectiosn these engineering disciplines need )


ps chaos expected in DC from trump's choice of leaders of health ministry so urgent to earn trust ip and down bloomberg hopkins netwirjks before stuff gets really messy