Probable First 10 priorities of 25X energy efficient supercomputers
  • India Billion peoples basic ai health system & universal finance id
  • Agentic AI transformation womens education 9 to 15
  • Startup open ai ecosystem bridging hundreds of first mile agri and arts/garments etc startups with nations top 10 industries (Elon)
    UK-Valley Alphafold biotech segment leaps include tropical diseases as well as worldwide cancer data
  • Translation of all mother tongues to everyone codes ai via top 2 language llms and decolonial ai geonomic maps
  • Doudna Deepest continent scaled maths problems starting with energy and health transmission
  • First follower humanoid digital twins- eg community safety jobs nobody wants
  • Open profession AI startups
  • Colossus space ai including drone & cable ai
  • Chat+inference+physical ai everywhere self driving cars' "road of things AI"
  • Taiwan AI Digital twin ai factories etc- from Asia to West
  • Earth 2.0 & all deep global data others dont want to first
  • HUmanoids on streets ai
    Japan AI 5 asian supercity benchmark 5 or more western capitals including green model for half of countries with next to no critical minerals
  • Transgeneration Mapping (beyond multilateral relocation of education for millennial generation- eg united mayors ai)
  • HK and diaspora chinese: Digital twin university health colleges
  • Neuroscience etc Mapping start up ecosystem bridging cultures of 10 + regional nations and superport value chains
  • nft and womens metagames ai - eg beingai.org
  • UAE Water ai and Parallel geo-ai system but for middle east primarily desert superports and 360 degree trade maps sustainability
  • France - nuclear datacentre ai micro open ai and top 10 eu continent industries>
  • Sports AI owned by youth- end bad media and bring eg swiss into open euro models
  • Open history- culture ai
  • 25 years of knowledge city ai uniting nordia elearning & human capital- livelihoods new to millennils
  • PLus one
    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

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