Fei-Fei seeing worlds of humanity's greatest intelligence ecosystem linker since neumann-einstein-turing

[chris macrae]

https://www.theguardian.com/technology/2023/nov/05/ai-pioneer-fei-f... discussion docs with fei-fei li  https://www.cbsnews.com/news/godmother-of-a-i-on-technology-develop... https://www.ft.com/content/de3f4813-4f36-40c7-9d50-980144674d87

fireside 2021

lectures 4-2015

14-2018

fei-fei li appears to have open sourced over 10 lectures each with over 100 slides co-presented by her team -eg this is lecture7

exercise -fei-fei li is 28 years younger than hinton- her 9 year championship imagenet 9stanfird 2009-2017) nombriefly inate hinton as year 3/4 winner - out of which he got nobel prize for deep learning (toronto became an epicentre of ai until trudua smashed that in 2017 after being told by world's number 1 luddite Donald that canada would be deplugged from defence data unless trudeau stopped good ai as part of stop 5g-

at a time 2018 https://www.c-span.org/video/?447599-1/artificial-intelligence that congress told a trillion times more computation capacity is coming - you aint seen what ai can doi yet) but she kept connecting stanfird as last human gravity of ai- it was actually fei-fei and hassabis phds that reconnecetd neurla networks beloved by neumann and turing after 50 years in the dark apart from some relatively unknown academics (now famous hinton, lecun - unless you know beter- in any event hinton has said he's no lomger able to program and wil spend his last years as philosopher out of london; fei-fei cheerleads everyone - geofrrey lets do one last world tour 

perhaps proof can come from tracking what cooperations she has lifted - apparently there are 175 + partners of human ai since stanford HAI rebranded how to connect FFL and inspirationnal worlds she frees - but lets see what her linked in and twitter as well as diary at stanfodr hai show- from nov 7 her biography of what to see is marketed by womens greatest philanthropy coordinator melinda gates as part of the mosr timely new books any school year has seen

Fei-Fei LiFei-Fei Li• Following• FollowingAI Researcher & Professor, Stanford University; Co-Director, Stanford Human-Centered AI Institute; Scientific Partner, Radical Ventures; Author ("The Worlds I See")AI Researcher & Professor, Stanford University; Co-Director, Stanford Human-Centered AI Institute; Scientific Partner, Radical Ventures; Author ("The Worlds I See"

some dates approx

10/16 debate on most immediate, and potentially catastrophic, risks posed by AI? According to pioneering AI researcher, Dr. Fei-Fei Li, they include disinformation, polarization, biases, a loss of privacy and job losses that could lead to unrest

• karaswisher co-host of the Pivot podcast for New York Media and also a new one coming in the fall, as well as executive producer of the annual Code Conference.

- my view I believe strongly all of us, especially those creating, deploying, and making decisions using AI, should work to ensure a human-centered approach. I know it's hard — I feel the challenges as an AI technologist, a woman of color, and an immigrant every day. But I wrote my book worlds i see for the younger generations, and we need to continue to inspire hope for all of them.

\\

Very much looking forward to being part of The Wall Street Journal's #wsjtechlive event! more at diary of ai superheroines

\\ 10'13 I’m suddenly feeling underdressed! Today HAI added new member LVMH to our Corporate Affiliate Program.

\\10'11 My dear friend Reid Hoffman invited me on his podcast, Masters of Scale, to chat about what he calls traditional AI (I guess that’s now anything other than generative AI? . We talked about one of my passion projects - AI and healthcare.

\\10'10 This is such an honor! As a young immigrant, Princeton University seemed like a place that only existed in my dreams. And as a faculty member, I actually began the project that became ImageNet. Now to be receiving its Woodrow Wilson Award Dei-Fei Li 99 and ornthologist john fitzpatrick 78

\\10/8  

)

1w 

Love this piece in The Wall Street Journal with Stanford University School of Medicine Dean Lloyd Minor discussing our exciting collaboration on the RAISE-Health Initiative. As he points out, AI will revolutionize how physicians are trained, how biomedical research is conducted, and how healthcare is delivered. We MUST build responsible AI that will ensure safe and equitable healthcare for all.

\\10/7 

My conversation with Geoffrey Hinton yesterday at University of Toronto covered a wide range of topics, moderated by our wonderful friend Jordan Jacobs. We discussed the early history of ImageNet and the AlexNet moment, our intertwined scientific journeys toward the dream of building an intelligent machine and unleashing the deep learning revolution in 2012, and the years between 2012 and 2022 where we saw the unfolding of the powerful AI technologies as insiders. We also talked about the profound human and societal impact this powerful technology brings to our world, both the positive possibilities but also the sobering catastrophic risks, including economic changes, dis/misinformation, bias and privacy issues, weaponization, and beyond. Geoff and I enjoyed the conversation so much that we said we should start a tour and travel around and give talks as a duo! And we even managed to have some fun aside from talking AI. Thanks to Radical Ventures for hosting!

[chris macrae]

LI on NPR

https://www.npr.org/2023/11/10/1198908536/fei-fei-li-the-worlds-i-s... Li was fascinated by vision.

"Rather than bury us in the innumerable details of light, color and form, vision turns our world into the kind of discrete concepts we can describe with words," she writes in her book.

Li later learned about a field of AI called computer vision, or the way scientists train computers to recognize and respond to objects. It's used for things like self-driving cars and x-rays. Li says the process is inspired by the human visual system – but instead of eyes and retinas, computers use cameras and sensors to capture images and data. Then, they need to make sense of that data.

To achieve this goal, computer scientists use something called a neural network, which Li says is also inspired by the human brain. While the brain's fundamental unit is a neuron, neural networks are made of millions of "nodes" stacked together in layers. Like neurons in the brain, these layers of nodes take in and process that data.

The mystery of machine intelligence

Despite advances in the field, Li says there are still mysteries about how AI learns.

"Now everybody uses powerful AI products like Chat GPT," she says. "But even there, how come it can talk to you in human-like language, but it does stupid errors in math?"

Li says this generation of AI models is trained on data from across the internet, but how all of that data is processed and how models make decisions is still unknown.

To illustrate this point, she rhetorically asks how computers see, "Because what you get in a photo are just lights and colors and shades — yet you read out a cat."

These questions will only continue to grow as the use of AI becomes more widespread and more researchers enter the field.

Keeping AI ethical

Mystery aside, Li says AI can be used for bad or good. In order to ensure it's used for good, she says scientists must commit to exploring potential problems with AI, like bias.

One solution, she thinks, is for society to start coming up with ways to regulate the technology.

"The biggest issue of today's AI is that the technology is developing really fast, but the governance model is still incomplete. And in a way, it's inevitable," she says. "I don't think we ever create governance models before a technology is ready to be governed. That's just not how our society works."

One solution, she says, is to use AI to enhance human work rather than replace it. This is one reason why she founded the Stanford Institute for Human-Centered Artificial Intelligence and why she thinks the future of AI should include both scientists and non-scientists from all disciplines.

"We should put humans in the center of the development, as well as the deployment applications and governance of AI," Li says.