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 grade up.
TOkens: see your lifetime's intelligence today
nvidia Physical A1 -Robots
.
Will Jen-Hsun's GTC26 big reveal be a superagent AI tutor k-12 whom we can all CC in email?
.. 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 surgeons 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 : Kariko
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 :...
..

.

Monday, December 31, 2012

good to see entrepreneurial revolution live and well among valley women

 https://hai.stanford.edu/events/crispr-ai-and-ethics-scientific-discovery


Twin revolutions at the start of the 21st century are shaking up the very idea of what it means to be human. Computer vision and image recognition are at the heart of the AI revolution. And CRISPR is a powerful new technique for genetic editing that allows humans to intervene in evolution.

Jennifer Doudna and Fei-Fei Li, pioneering scientists in the fields of gene editing and artificial intelligence, respectively, will be on stage discussing the ethics of scientific discovery.

Doudna, a professor of chemistry and molecular and cell biology at U.C. Berkeley, rocked the research world in 2012 when she and her colleagues announced the invention of CRISPR-Cas9, a technology that uses an RNA-guided protein found in bacteria to edit an organism's DNA quickly and inexpensively. Li is a professor of computer science at Stanford and co-director of the university's Institute for Human-Centered Artificial Intelligence (HAI). She served as director of Stanford’s AI Lab from 2013 to 2018, and during her sabbatical, she was Vice President at Google and served as Chief Scientist of AI/ML at Google Cloud. Li joined Stanford's faculty in 2009, and her main research areas are in machine learning, deep learning, computer vision and cognitive and computational neuroscience. She invented ImageNet and the ImageNet Challenge, a critical large-scale dataset and benchmarking effort that has contributed to the latest developments in deep learning and AI.

Moderating the discussion will be Russ Altman, the Kenneth Fong Professor of Bioengineering, Genetics, Medicine, Biomedical Data Science and (by courtesy) Computer Science at Stanford. He is the past chairman of the Bioengineering Department at Stanford University. His primary research interests are in the application of computing and informatics technologies to problems relevant to medicine. He hosts the Stanford Engineering program The Future of Everything.

No comments:

Post a Comment