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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Thursday, November 30, 2023

qyestions on uniting human braipower -eg what if we redefined education as helping generations multipy each oters livelihood intelligences

 How can we better highlight the ethical challenges of these worldwide collaborations

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Artificial Intelligence in International Development: Avoiding Ethical ...
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Global AI Ethics: Bridging Cultural Divides in Technology
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Answer
To better highlight the ethical challenges of worldwide AI collaborations, we can focus on several key strategies:

Increase Awareness and Education

One of the most effective ways to highlight ethical challenges is through widespread education and awareness campaigns. This can be achieved by:
  • Integrating AI ethics into school curricula from primary to higher education
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  • Offering specialized courses and workshops on AI ethics for professionals, developers, and policymakers
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  • Creating informative websites, blogs, and online resources dedicated to discussing AI ethics
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  • Launching public awareness campaigns using accessible language and relatable examples
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Foster International Dialogue

Promoting global discussions on AI ethics can help highlight challenges across different cultural contexts:
  • Organize international conferences and forums focused on AI ethics
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  • Encourage collaboration between stakeholders from various countries to share perspectives on ethical challenges
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  • Support initiatives like UNESCO's Global AI Ethics Observatory to provide resources for policymakers and stakeholders worldwide
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Enhance Transparency and Accountability

Improving transparency in AI development and deployment can bring ethical challenges to the forefront:
  • Implement robust AI governance structures within organizations
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  • Establish clear channels for reporting ethical concerns related to AI projects
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  • Develop comprehensive AI ethics frameworks outlining principles and guidelines for addressing ethical challenges
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Address Cultural and Regional Differences

Recognizing that ethical considerations may vary across cultures is crucial:
  • Conduct research to understand how AI's social impacts differ in various global regions
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  • Develop more inclusive approaches to AI ethics that consider unique cultural and social contexts
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  • Engage with diverse stakeholders to capture a wide range of ethical perspectives
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Prioritize Specific Ethical Concerns

Focus on key ethical issues that are particularly relevant to worldwide collaborations:
  • Data privacy and security in cross-border data sharing
    1
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  • Fairness and non-discrimination in AI systems used globally
    1
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  • Transparency and explainability of AI decision-making processes across different jurisdictions
    1
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  • Environmental impact of large-scale AI deployments
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    .

Establish Global Governance Frameworks

Work towards creating international standards and guidelines for ethical AI:
  • Support initiatives like the EU's AI Act or UNESCO's Recommendation on the Ethics of AI
    9
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  • Encourage countries to develop national AI strategies that include ethical considerations
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  • Promote collaboration between governments, industry leaders, and ethicists to design comprehensive AI regulations
    9
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By implementing these strategies, we can better highlight and address the ethical challenges that arise from worldwide AI collaborations, ensuring that AI development and deployment align with global ethical standards and respect diverse cultural perspectives.
Related
What are the most pressing ethical concerns in AI-driven international development projects
How can we ensure transparency and accountability in AI initiatives across different cultural contexts
What are some successful case studies of AI projects that addressed ethical challenges effectively
How can we integrate local perspectives and ethical vocabularies into AI governance frameworks
What role do international organizations play in setting global AI ethics standards
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