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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Friday, December 31, 1982

Q&A2 if your mother tongue is one of next 990 languages will LLMs and new AI put you at a disadvantage

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It is possible that LLM gateways to 2020s digital disadvantage people whose mother tongue is one of the next 990 languages after the 10 most powerful ones. This is because LLMs are typically trained on large datasets of text and code in the most common languages, such as English, Chinese, and Spanish. As a result, they may be better at understanding and generating text in these languages than in less common languages.

However, there are a number of things that can be done to mitigate this disadvantage. For example, researchers are developing LLMs that are specifically trained on smaller datasets of text and code in less common languages. Additionally, there are a number of tools and resources that can be used to translate text between different languages, which can help people whose mother tongue is not one of the most common languages to access and use LLM-powered applications.

Here are some specific things that can be done to mitigate the digital disadvantage of people whose mother tongue is one of the next 990 languages after the 10 most powerful ones:

  • Develop LLMs that are specifically trained on smaller datasets of text and code in less common languages. This would make LLMs more accessible to people whose mother tongue is not one of the most common languages.
  • Develop tools and resources that can be used to translate text between different languages. This would help people whose mother tongue is not one of the most common languages to access and use LLM-powered applications.
  • Provide training and support to people whose mother tongue is not one of the most common languages on how to use LLMs. This would help people to overcome the digital disadvantage that they may face.

It is important to note that the digital disadvantage is not just a problem for people whose mother tongue is not one of the most common languages. It is also a problem for people who live in rural areas, who have low incomes, or who have disabilities. We need to work to ensure that everyone has access to the digital tools and resources that they need to succeed in the 21st century.

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