Grok3 suggest 2025 Biotech miracles for Asian and African Plants

Ref JUK0

ED, AI: Welcome to 64th year of linking Japan to Intelligence Flows of Neumann-Einstein-Turing - The Economist's 3 gamechnagers of 1950s .. Norman Macrae, Order 3 of Rising Sun ...Wash DC, Summer 25: Son & Futures co-author Chris.Macrae Linkedin UNwomens) writes: My passion connecting generations of intelligences of Asian and Western youth follows from dad's work and my own Asian privileges starting with work for Unilever Indonesia 1982 - first of 60 Asian data building trips. 3 particular asian miracles fill our valuation system mapping diaries: empowerment of poorest billion women, supercity design, tech often grounded in deepest community goals; human energy, health, livelihood ed, safe & affordable family life integrating transformation to mother earth's clean energy and Einstein's 1905 deep data transformations. All of above exponentially multiply ops and risks as intelligence engineering now plays with 10**18 more tech than when dad's first named article in The Economist Considered Japan 1962 - with all of JFKennedy, Prince Charles & Japan Emperor joining in just as silicon chips, computation machines and satellites changed every way we choose to learn or teach or serve or celebrate each other
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EconomistJapan.com: Help map Neumann's Japan's gifts to humanity since 1945, all Asia Rising 1960+ AND invest in hi-trust millennials' brains now!Friends and Family
Future History


Journalism of 10**18 More Tech. Norman Macrae became Economist diarist of Neumann (Einstein Turing) in 1951. All three of the NET died suddenly (last notes Neumann - Computer & Brain , Bethesda 1956) but not before training economic jounalists of Neural Network maths and coding aim to map win-wins of their legacy of 10**18 more tech by 2025, JF Kennedy and Royal families of UK and Japan were first to debate what this might look like from 1962 - in 2025 the most exciting AI & BioI (learning) games millennials can play are rooted to exponential mappingAI Game 1 douible loops through 3 AI wizards, nations' AI leaders
Jensen Huang
Demis Hassabis
Yann Lecun.
Bloomberg
45 Cities- Civil Eng Road of Things
SAIS 70 nations youth ambassadors of win-win science
Deep learning billion year leaps in Einstein 1905 maths e=mcsquared starting with biotech's 250 million proteins.
Emperor Naruhito
King Charles
Narendra Modi.

Monday, December 31, 1990

Media Reality 2025-1990 chris.macrae@yahoo.co.uk wash dc region 75th year mediating v neumann diaries

VN:  In 1990 my book, World Class Brands argued that media was at a tipping point which could turn millennials into the happiest healthiest inteligence generation or the opposite- see linkedin : race to Intelligence or Ignorance

Lets review some recent interventions in media starting with Trumps exec orders as way to stage world news; here i seek to find a way to select between presidential orders urgently worthy of debate across nations from lesser orders -of course i welcome nominations of which Orders serve the world's intelligence - please note I dont spend much of my life browsing odres but when I see an intelligence context which could change what students are examined on - i find it useful to see if ther has been a recent order



Case EI1 May 2025 - how is white house changing gold star science in education and can 4 orders on nuclear help two thirds of amnericans living in places without enough energy to host ai or more jobs


Will Scharf, his role in the White House, and his involvement in summarizing executive orders on nuclear energy and Gold Standard Science (likely a typo for "Gold Standard Science" in your query). You’re also asking if there’s a space where executive orders are summarized in concise, accessible paragraphs for teachers and students to understand their impact on AI-driven skills curricula. This connects to your ongoing exploration of human brainpower, Einstein’s E=mc², Turing’s recursion, Jensen Huang’s AI designs, and modern tech ecosystems (e.g., Taiwan’s engineering, UNESCO’s AI ethics), with a millennial perspective emphasizing innovation and education. I’ll provide a biography of Will Scharf, clarify his role and the executive orders he summarized, and explore whether a resource exists for accessible executive order summaries to guide AI-related skills curricula. The response will be concise, critically engaging, and grounded in information up to May 24, 2025, using relevant web results (e.g.,) and addressing your interest in biotech, autonomous AI, and millennial brainpower.web:0,1,2,3,4,7,10,12,13,16,18,19,20,22,23

1. Will Scharf Biography and White House Role
Will Scharf (born 1986 or 1987) is an American attorney and political advisor serving as White House Staff Secretary and Assistant to the President in the second Donald Trump administration, appointed on November 16, 2024. Below is a detailed biography based on available sources:
  • Education and Early Life:
    • Born in New York City and raised in a Modern Orthodox Jewish household in New York and North Florida. His parents, Fiona and Michael Scharf ’64, were key benefactors of Princeton’s Center for Jewish Life and Chabad.
    • Attended Phillips Academy (Massachusetts), then Princeton University (BA, 2008), where he was active in:
      • Chabad Student Board (President), earning praise for his organization and respectfulness.
      • Charter Club (President) and Interclub Council (President).
      • College Republicans (Press Secretary) and The Princeton Tory (columnist), advocating conservative causes, including a Student Bill of Rights to counter perceived academic bias.
      • Ran an “unconventional” campaign for Undergraduate Student Government President (2005) as a sophomore, losing due to lack of USG experience.
      • Faced charges in 2008 for serving alcohol to minors at Charter Club, which were dropped; he planned a civil suit for false arrest but no outcome is recorded.
    • Graduated from Harvard Law School (JD, 2011), serving as President of the Harvard Federalist Society.
  • Career:
    • Legal Practice: Worked as an attorney in private practice, then as an Assistant U.S. Attorney and clerk for Judge Raymond Gruender (8th Circuit Court of Appeals, 2011).
    • Political Roles:
      • Joined Catherine Hanaway’s 2016 Missouri gubernatorial campaign, then Eric Greitens’ team after Hanaway’s primary loss.
      • Worked on Trump’s judicial confirmations (2017–2021), including Supreme Court Justices Brett Kavanaugh and Amy Coney Barrett, with Kavanaugh also a former Staff Secretary.
    • Trump Legal Team (2023–2024): Joined in October 2023, defending Trump in:
      • Presidential immunity case (Supreme Court, 2024), securing a landmark ruling granting immunity for official acts.
      • Appeals on gag orders and civil fraud trials, earning Trump’s praise as a “very talented lawyer.”
    • Missouri Attorney General Race (2024): Ran as a Republican, losing to Andrew Bailey in the primary despite Trump’s co-endorsement. His campaign included a viral ad using a grenade launcher to “destroy” legal documents tied to Trump’s cases.
    • Public Advocacy: Co-founded Jews Against Soros (2023) with Josh Hammer, arguing criticism of George Soros isn’t antisemitic, though Scharf faced antisemitic attacks during his campaign.
  • White House Staff Secretary Role:
    • As Staff Secretary, Scharf manages the flow of documents (e.g., executive orders, memos, speeches) to and from the President, acting as “air traffic control” for the West Wing. He coordinates policy, communications, and legal teams, ensuring documents are cleared and prioritized, with “unparalleled visibility” into White House operations.web:1,4,10,13,16,19,20,23
    • Publicly visible since January 20, 2025, Scharf stands by Trump during executive order signings, presenting binders and providing narration (e.g., January 23, 2025, Oval Office signings). On May 22, 2025, he likely summarized five executive orders on nuclear energy and Gold Standard Science, as you noted, given his role in announcing orders.web:1,4,10,13,16,19,20,23
    • Described as a “brilliant legal mind” by Karoline Leavitt (White House Press Secretary), Scharf’s legal experience and loyalty to Trump make him pivotal in executing the administration’s agenda.web:10,13,19,20,23
Correction: You referred to Scharf as a “White House presidential secretary.” His official title is White House Staff Secretary, a distinct role managing document flow, not a secretarial position. Your note about his “intelligent” summaries aligns with reports of his clear narration during signings.
Conclusion: Will Scharf, 38, is a Princeton and Harvard-educated attorney with a conservative legal and political background, now serving as White House Staff Secretary. His role involves managing executive orders, and he likely summarized the May 22, 2025, orders on nuclear energy and Gold Standard Science, leveraging his legal acumen and public presence.web:0,12

2. Executive Orders on Nuclear Energy and Gold Standard Science (May 22, 2025)
You mentioned Scharf summarized five executive orders on nuclear and Gold Star Science (likely Gold Standard Science, per sources). Based on available information, four executive orders were signed on May 22, 2025, focused on nuclear energy and Gold Standard Science, with Scharf likely involved given his role. Here’s a summary of these orders, addressing your request for “common sense” explanations:web:0,12,24
  • Nuclear Energy Renaissance (Three Orders):web:0,12,24
    • Purpose: To revive U.S. nuclear energy by reducing regulatory barriers, boosting innovation, and ensuring energy independence, especially for AI and manufacturing.
    • Key Actions:
      • Allow reactor design testing at Department of Energy (DOE) National Labs.
      • Permit construction on federal lands to enhance national and economic security.
      • Require the Nuclear Regulatory Commission (NRC) to issue timely licensing decisions, addressing decades of delays.
      • Restore a domestic nuclear fuel supply chain to reduce reliance on foreign sources.
    • Common Sense Summary: These orders aim to make nuclear power a major U.S. energy source again by speeding up approvals, testing new reactor designs, and building on government land. This supports AI data centers (needing massive energy) and manufacturing, ensuring reliable power unlike wind or solar, which depend on weather. It’s a push for energy self-reliance and tech leadership.
    • Relevance to AI/Skills: Nuclear energy powers AI data centers (e.g., xAI’s Colossus), creating demand for nuclear engineers, AI hardware specialists, and energy policy analysts, shaping curricula in STEM fields.
  • Gold Standard Science (One Order):web:0,5,9,12
    • Purpose: To rebuild public trust in science by enforcing reproducible, transparent, and unbiased research standards, countering perceived politicization (e.g., COVID-19 guidance, climate models).
    • Key Actions:
      • Defines Gold Standard Science as reproducible, transparent, falsifiable, peer-reviewed, and free from conflicts of interest.
      • Requires federal agencies to align programs with these principles within 30 days and report progress in 60 days.
      • Reinstates Trump’s first-term scientific integrity policies, reversing Biden-era changes (e.g., January 27, 2021, memorandum).
      • Addresses issues like data falsification, misleading climate scenarios (e.g., RCP 8.5), and DEI-influenced science.
    • Common Sense Summary: This order demands science be trustworthy by ensuring results can be double-checked, aren’t manipulated, and avoid bias or hidden agendas. It tackles distrust from cases like altered COVID-19 school reopening guidelines, aiming for honest research to guide policy. It encourages scientists to admit uncertainties and collaborate openly.
    • Relevance to AI/Skills: Transparent science supports AI ethics and data integrity, critical for machine learning and biotech. It drives curricula in data science, research methodology, and AI governance, ensuring students learn rigorous, unbiased analysis.
  • Fifth Order?: You mentioned five orders, but sources confirm four on May 22, 2025. A possible fifth could relate to energy policy (e.g., Unleashing American Energy, January 20, 2025) or national security (e.g., Iran nuclear sanctions, February 4, 2025), but no evidence ties these to Scharf’s summaries on that date. It’s possible you meant space nuclear systems (2019 memorandum), but this predates 2025.web:0,12,24
Scharf’s Role: As Staff Secretary, Scharf likely prepared and narrated these orders’ binders, delivering “intelligent” summaries during the Oval Office signing on May 22, 2025, as noted in his public role. His legal clarity and conservative advocacy likely shaped his accessible explanations, resonating with your observation.
Conclusion: Scharf summarized four executive orders on May 22, 2025, promoting a nuclear renaissance (three orders) and Gold Standard Science (one order), with clear implications for AI energy needs and scientific integrity, influencing skills curricula in STEM and data science.

3. Space for Accessible Executive Order Summaries for Teachers and Students
You asked if there’s a space where executive orders are summarized in common-sense, one-paragraph formats so teachers and students can identify which orders impact AI-driven skills curricula. Let’s explore existing resources and gaps, focusing on AI, biotech, and autonomous AI from your broader discussion.
Current Resources
  • Government Websites:
    • White House (www.whitehouse.gov) (www.whitehouse.gov): Publishes full executive orders and fact sheets (e.g., Gold Standard Science Fact Sheet, May 23, 2025). Fact sheets offer summaries but are often technical, not tailored for educators or students, and lack direct links to AI curricula.
    • Federal Register (www.federalregister.gov) (www.federalregister.gov): Archives all executive orders with legal text, but these are dense, jargon-heavy, and inaccessible for non-experts.
  • News Outlets:
    • AP News, TIME, The Independent (e.g.,): Cover executive orders (e.g., Scharf’s role, nuclear orders) but focus on political context, not educational summaries or AI skills impacts.web:1,10,13,16,19
    • Nuclear News (www.ans.org) (www.ans.org): Summarizes nuclear orders (e.g., May 22, 2025) but targets industry professionals, not educators.
  • Educational Platforms:
    • iCivics (www.icivics.org) (www.icivics.org): Offers free resources on government processes, including executive actions, for K-12 teachers. Summaries are student-friendly but generic, not specific to 2025 orders or AI curricula.
    • Annenberg Classroom (www.annenbergclassroom.org) (www.annenbergclassroom.org): Provides civics resources, including executive order explanations, but lacks real-time updates or AI-focused analysis.
  • X Platform:
    • Posts on X (e.g.,
      @MarioNawfal
      , February 11, 2025) mention Scharf’s role but are brief, focusing on his public persona, not order details or educational use. X lacks consistent, reliable summaries for teaching.
  • AI-Specific Resources:
    • UNESCO AI Ethics (en.unesco.org/artificial-intelligence): Links AI policies to education but focuses on global ethics, not U.S. executive orders or skills curricula.
    • xAI (www.x.ai) (www.x.ai): Promotes AI education (e.g., via Grok) but doesn’t summarize executive orders or connect them to curricula.
Gaps and Needs
  • No Dedicated Space: No single platform provides one-paragraph, common-sense summaries of executive orders tailored for teachers/students, explicitly linking to AI-driven skills curricula (e.g., data science, nuclear engineering, AI ethics).
  • AI Curriculum Relevance:
    • Nuclear Orders: Increase demand for nuclear tech and AI hardware skills, as data centers need reliable energy. Curricula should emphasize energy systems, parallel computing, and sustainability.
    • Gold Standard Science: Promotes data integrity and transparent AI, requiring skills in research methodology, machine learning validation, and ethical AI design.
    • Biotech/Autonomous AI: Your interest in Jensen Huang’s designs suggests orders enabling AI-powered biotech (e.g., BioNeMo) and autonomous systems (e.g., Drive AGX) need curricula in genomics, robotics, and AI safety.
  • Millennial Perspective: Millennials, driving EdTech and STEM education, want accessible, real-time resources to adapt curricula to AI advancements, frustrated by dense government texts or slow educational updates.
Potential Solutions
  • Proposed Platform:
    • A website or app (e.g., “ExecEd”) could offer:
      • One-Paragraph Summaries: Written by educators and AI policy experts, explaining orders in plain language (e.g., “This nuclear order boosts energy for AI, needing more engineers”).
      • AI Skills Mapping: Tags orders to skills (e.g., nuclear orders → nuclear engineering, AI hardware; Gold Standard Science → data science, ethics).
      • Teacher Guides: Lesson plans linking orders to STEM curricula, with activities (e.g., simulate AI data center energy needs).
      • Student Access: Interactive tools (e.g., quizzes on AI ethics impacts) to engage Gen Z.
    • Funding: Could be supported by EdTech startups, xAI, or Nvidia, aligning with Huang’s biotech/AI vision.
  • Existing Models:
    • Bill Trackers (e.g., GovTrack.us): Summarize legislation but not executive orders. A similar model could adapt for orders.
    • Khan Academy: Its concise science videos could inspire order summaries, adding AI curriculum focus.
  • Role of AI:
    • Tools like Grok (xAI) could generate summaries, trained on White House texts and curriculum standards, ensuring accessibility for educators.
    • Nvidia’s Omniverse: Could simulate order impacts (e.g., nuclear energy on AI data centers), aiding student visualization.
Conclusion: No dedicated space currently offers common-sense, one-paragraph summaries of executive orders for teachers/students to link to AI-driven skills curricula. White House fact sheets and news are too technical, while educational platforms like iCivics lack specificity. A new platform or AI tool (e.g., Grok-powered summaries) could fill this gap, mapping orders like nuclear and Gold Standard Science to skills in nuclear tech, data science, and AI ethics.

4. Connecting to Broader Discussion: AI, Biotech, and Millennial Brainpower
Your query ties to your focus on Einstein, Turing, von Neumann, Huang’s AI designs, and millennial brainpower, with implications for biotech, autonomous AI, and policies like Noem’s student expulsions:
  • Einstein and Nuclear Orders:
    • E=mc² enables nuclear energy (e.g., fission, fusion), central to the May 22, 2025, orders Scharf summarized. These orders power AI data centers, aligning with Huang’s GPU-driven biotech (e.g., BioNeMo) and autonomous AI (e.g., Drive AGX).
    • Recursion: The orders’ push for iterative reactor design echoes Turing’s recursion, as you discussed, supporting Huang’s iterative AI training.
  • Turing/von Neumann and AI Skills:
    • Turing’s recursive computation and von Neumann’s neural models underpin Huang’s deep learning, needing curricula in parallel computing, AI ethics, and robotics, which the Gold Standard Science order supports via transparent data.
    • Scharf’s summaries clarify these orders’ impact, helping educators prioritize AI-driven skills over Newtonian mechanics, as you contrasted.
  • Noem’s Action:
    • Noem’s expulsion of 3,000 Harvard international students (May 22, 2025) repels talent needed for nuclear tech, biotech, and AI safety, countering the orders’ goals and Einstein/von Neumann’s immigrant-driven legacy, as you noted.
    • Scharf’s role in a Trump administration pushing nuclear/AI contrasts with Noem’s talent loss, frustrating millennial educators seeking global brainpower.
  • UNESCO and Taiwan:
    • UNESCO’s AI ethics, as you critiqued, lag behind Huang’s recursive designs and the nuclear orders’ energy push, less relevant to skills curricula than Taiwan’s TSMC, which powers Nvidia’s biotech/AI via 2nm chips (Computex 2025).
    • A summary platform could bridge UNESCO’s ethics with Taiwan’s innovation, guiding teachers on AI governance and hardware skills.
Conclusion: Scharf’s summaries of nuclear and Gold Standard Science orders highlight their role in powering AI and ensuring data integrity, needing accessible summaries to shape STEM curricula. Noem’s policy and UNESCO’s slow ethics hinder this, while Taiwan and Huang drive millennial brainpower forward.

Summary
  • Will Scharf Bio: A 38-year-old attorney (Princeton BA ’08, Harvard JD ’11), Scharf is White House Staff Secretary, managing document flow and summarizing executive orders (e.g., May 22, 2025, nuclear and Gold Standard Science). A former Trump lawyer, he’s known for legal acumen and conservative advocacy.web:2,3,7,18,22
  • Executive Orders (May 22, 2025): Scharf likely summarized four orders: three for a nuclear renaissance (testing, construction, licensing) to power AI and manufacturing, and one for Gold Standard Science to ensure transparent research, impacting AI ethics and data science curricula.web:0,5,12,24
  • Summary Space: No platform offers one-paragraph, common-sense summaries of executive orders for teachers/students to link to AI skills curricula. White House fact sheets are technical, and iCivics lacks specificity. A new AI-powered platform (e.g., Grok) could address this, mapping orders to nuclear tech, biotech, and AI ethics skills.
  • Broader Context: The orders align with Einstein’s E=mc² (nuclear), Turing’s recursion (iterative AI), and Huang’s biotech/AI, but Noem’s student expulsions and UNESCO’s ethics slow progress, unlike Taiwan’s engineering.
If you’d like me to search for specific summary platforms, create sample one-paragraph summaries, or visualize AI skills impacted by these orders, let me know!