I really enjoyed this conversation with Daphne. Here's the outline: 0:00 - Introduction 2:22 - Will we one day cure all disease? 6:31 - Longevity 10:16 - Role of machine learning in treating diseases 13:05 - A personal journey to medicine 16:25 - Insitro and disease-in-a-dish models 33:25 - What diseases can be helped with disease-in-a-dish approaches? 36:43 - Coursera and education 49:04 - Advice to people interested in AI 50:52 - Beautiful idea in deep learning 55:10 - Uncertainty in AI 58:29 - AGI and AI safety 1:06:52 - Are most people good? 1:09:04 - Meaning of life
@ finally someone who was wondering the same as me .come on lex please tell us what watch it is you wear I'm a little bit of a collector myself and I also make ww2 style fliger watchs with hand wind 6497 movement lumed hands and dial or applied index and no lumed options lex I would love to make you one email me 2e0njk@googlemail.com
This is one of those interviews that make you feel hopeful, inspired, and motivated. Thank you. There were so many ideas I liked, but they can be summed up with Daphne's comment at 71:00: "use your life to make the world a better place." ❤️Beautiful.
@@arunhazarayou1 Even the most selfless acts can ultimately be seen as selfish if we analyze them long enough. For example, if a person gives up their life to protect someone they love, we can say they did it to spare themselves the pain of living without their loved one. Or if that person gives up their life to protect a complete stranger, we can say they did it to spare themselves the pain of living with a guilty conscience. It would be a pity though to say that people are selfish when trying to make the world a better place. First, the personal gain for some of these people is almost non-existent. And second, I actually have great respect for anyone who does some act of kindness, even if it benefited them. They could have done nothing at all. Instead, they chose to contribute. Like Emily Dickinson said, “If I can stop one heart from breaking, I shall not live in vain.” Helping even one person is an admirable act. ❤️
@@BiancaAguglia I understand that there are almost no selfless acts but still there are degrees of selfishness. The way your amazing and kind brain puts up effort in dissecting almost heroic goodness you know in the same universe there are minds putting same kind of energy making their acts more and more selfish. Eg. all the poverty in this world and hoarding of wealth on the other side. I guess it's people like you who keeps our world from going all dark. Or some very capable group to oppress all else I think it's humans like you. Thank you for your efforts. Couldn't belive for a moment that you were real the way you think. I have a hard time balancing selfishness, found one needs atleast some to survive. One time I felt so much for the bacterial colony dying on my petri dish eating each other but couldn't do much.
It is an interesting statement for her to make. She is a billionaire. I think its strange that nobody else has mentioned this. I am not saying that is a negative thing or inherently makes he "bad" but I would have liked that to be mentioned in a sense. I dont know how accurate of a view you can have on whats "good" for the world if you have ridiculously vast wealth.
I was dreaming about this conversation! My favorite scientist and entrepreneur, Daphne Koller, talks with my favorite podcast author, Lex Fridman! This is just awesome. I cancel all of work until I finish watching it.
The answer is simple: you were never _always was_ you will never be _always is_ you are just the bit in between that has a short was an instant of life now and a short will be but no more.
It seems the meaning is often the same. Its the burden and struggles that give meaning and happiness. Standing in the house of order you built from bricks of chaos.
She is terrific. Thanks for another fantastic episode, Lex. Makes me wishing I was in America and able to pursue research opportunities in these areas.
Coincidently, I'm taking a Coursea course and absolutely loving the class. Knowing the background has made it even more profound, thank you, Daphne, for sharing and your efforts to fine-tune the classes (time and efficiency). Online class opportunities have opened doors that as you mentioned, "at this life juncture" brick and mortar classroom opportunities seem limiting. I also love your perspective on diversifying STEM fields. Lex your guest speakers definitely expose your viewers with timely topics and a wide-demographic of amazingly genuine intellects to expand their minds. Thank you!
My mind is ready 😬🤯😁🔥 The intersection of Machine Learning and Medicine is one of the big reason I was inspired to dive into the world of Computer Science and Engineering. The synergy here has the potential for enormous impact! Thank you, Lex!😁🙏🏽
The quality of these conversations and the fact you keep them very orderly is incredibly valuable to me. You're doing a great service to the world with your work Lex. Thank you.
I was dreaming that you'll get to interview her! Thank you from the bottom bottom of my hurt. I'm watching all your casts, Lex. Please, keep going. you're the best in the podcast space.
But it's not Daphne Koller _at_ her best, because that would simply scare people. I used to follow her work from the 1990s a bit, which I discovered around the time of her MacArthur Fellowship. Serious, substantive work. Masters degree at 18 and doesn't seem to have taken a day off, since. 2010: Newsweek's 10 Most Important People 2013: Time magazine's 100 Most Influential People 2014: Fast Company's Most Creative People in Business
There _was_ another woman at Stanford in roughly the same cognitive zip code as Daphne: Maryam Mirzakhani, an Iranian mathematician who won a Fields Medal, but then tragically passed away from breast cancer at age 40.
Really felt deeply thinking on how well we can connect the planet with all kinds of problems and challenges through machine learning. Thanks for the great video. It was really inspiring and aspiring to hear most tremendous people thoughts and works towards the benefit of mankind.
Brilliant interview. Coursera had a huge impact on my life and I have never heard about the co-founder Daphne Koller. The deep learning courses from Andrew Ng are without a doubt the best material for understanding the concepts and maths behind deep neural networks. I have to take Daphnes course on Probabilistic Graphical Models now.
Dear Mr Fridman and Ms Koller, Thank you Mr Fridman for a terrific interview, and thank you Ms Koller for what Mr Fridman said at the end about it being an honor to hear about your life and work.
I’ve been listening to your podcasts for so long, while I work. That I can tel when the podcast is almost over when you ask your guests what the meaning of life is
@@bumberClart1000 Bumped into a cool series, tinyML tied to an Oreilly book. and video series, alot like sendtex ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-8N6-WQsxwxA.html
@@7Trident3 Jobs wasn't particularly talented. All of his success comes from selling another man's product and then prestige pricing an mp3 player. Somehow the masses then turned him into a cult icon.
Sad that this is one of the least amount of views on your channel. Need a round #2, now with a bigger subscriber base you have built. This is an amazing thinker tackling very important problems!
I already recorded a conversation with everyone who has ever lived and wrote a program in Python to occasionally publish new episodes. I am no longer alive and what you think of as Lex Fridman is an illusion: a Python script automatically publishing podcasts indefinitely until the heat death of the Universe.
She cranks out these really long sentences and uses these uncommon words in sometimes uncommon ways, yet with no background in machine learning or biology, I am able to follow the meaninig! That's always a sign that the speaker undersdands the field really well. What a pleasent (so far) 30 minutes of horizon-expanding information.
Yoo Lexingrad, I think you'd love talking to David Sinclair considering your questions here. She's freaking awesome btw. Working on both online education and bioinformatics which are probably gonna be hugely disruptive in the upcoming years.
Top notch content! Love to hear from researchers on the front edge. I am part of a FMT facebook group, the stories of autoimmune diseases, even autism in children being cured by altering the gut bacteria. People so desperate that they are experimenting on themselves! That where she should be pointing her very powerful ML engine! That data will be expensive to obtain, until Hight Throughput DNA sequencing drops in price. Being Canadian, I would like to see you interview Jeff Hinton, the whole voice in the wilderness story is satisfying! Not to mention, I like your questions!
I didn't mind that this stayed on fairly general terrain. And I really enjoyed the way Daphne is relentlessly articulate. But then you've got Lex asking the questions, and there were moments where he was qualified to ask an especially important question, yet he pulled the chute. The big one I noticed was when Daphne was talking about the lack of robustness in our present ML systems, commenting to the effect that "small tweaks can completely change the outputs". But this in some sense is an automatic consequence of working in high-dimensional spaces: there are always going to be inputs on the knife-edge. You simply can't avoid having those interior manifolds. However, if those knife-edge manifolds are forced to be relatively high-dimensional objects, they sort of disappear as measurable sets. But is it really feasibly to pursue a form or program of robustness where we have some kind of guarantee that the vast majority of knife-edge interior manifolds amount to nigh-immeasurable sets? I know I'm not quite using insider language here, but that's why I'm _listening_ to this podcast, rather than hosting it myself. It really wouldn't have hurt things to let Daphne field at least one hardball, because I'm pretty sure she's up to it.
Rating: 6.6/10 In Short: From Coursera to Biology; A (short) journey through science Notes: Lex started this with the giant 'can we cure all disease' question, which feels a bit naive and I think got them off to a bad start. Then they talk about disease for 15+ mins before getting into AI and then finally 30 mins later coursera. Starting with coursera and that journey and story would have been much powerful, and it would have been great to get more of Daphne's career arch and depth of her personality and character. Instead the questions were a bit broad and Lex felt a bit out of his own character--given this was pretty early on his pod journey make sense. But still felt a little surface level on most points, and lex found himself later on asking what he felt like were bad questions. Daphne handled this a well as she could, but even his meaning of life question was prolonged and awkward. Think you should definitely HAVE DAPHNE ON AGAIN and really dive into her journey and phycology and personality, as it does appear she is a fascinating person. Just didn’t quite come out in this short convo.
Ive watched most of Rogan and Petersons content available on RU-vid. They boosted my confidence and curiosity for some intellectual conversations.. yours is awesome but will quickly let one know exactly how much is lacking in current education. Some might as well be in Sumerian. From what my caveman brain and HS education can interpret your shows really are great. Thank you
Yet another awesome podcast, thanks Lex! If you're able to see this comment, could it be possible that you would gather a book list on your website of interesting books on machine learning, brain, conciousness... The stuff you read in general?
Imagine if we reach the stage of machine learning and AI when we can do the equivalent of 10 years or more of human research in a day. As I see it, the overall goal course seems to be for people to live in good health and shape for as long as they wish to live.
Years down the line, this podcast will be seen as seminal in being able to persuade narrow natural intelligence experts to reflect on natural general intelligence as it relates to the nature of reality, consciousness and the meaning of life. Not sure if any other platform has been able to do this, but I'd bet that a meta-level appreciation of NGI is critical to the development of AGI.
“In modern medicine, Dr. Atul Gawande said, there are 13,600 diagnoses, or ways in which the human body can fail, and no patient comes in with just one diagnosis at a time. Now more than 6,000 drugs can be prescribed, and 4,000 medical and surgical procedures can be performed.”
Finally they're keeping track of patients data at hospitals with a single folder ascribed to them on a computer... this will aide science and society greatly.. why did it take so long😥
One of the more interesting presentation I've listened too. One thing sir, isnt it more accurate to say the professor is in the treatment business NOT the curing of any diseases. Otherwise great show 🕶🎥
Id like to learn more from these types of things. We get "we're nowhere near solving this problem" but not a description of the obstacles and what makes them difficult. I also think Lex is a skilled enough interviewer to pin people on evasive answers without being a kathy newman.
Such a shame this interview happened before the pandemic took off, the topics of online learning and health have changed a lot in the past year. I hope she can come back on again to give a new perspective
In the future u will get to choose which ai robot assistant is right for u amazon, apple, google, fb or microsoft or u can get the Chinese version Alibaba, Tencent and Baidu
1:11:11 It's not pointed out nearly often enough that to leave the world a better place you have to outperform your initial conditions (which Koller gestures toward using the proxy "privilege") and you can't be alone in this. Progress only occurs when the _majority_ of people in society outperform their initial conditions. Moreover, it doesn't take much defection from people who begin with enormous privilege to undo almost all the hard-won progress single-handedly. (Not that there's anything wrong with that, if you're on Team Red.)
Very nice interview! Of course deseases are part of the world and probably on the long scale people need / want to experience certain body states to become old and experience the variety of life. Because in later states / ages deseases have a more fatal impact. This could be done in controled phases and shows how important it is to learn more about it . But of course why complexity hold this kind of valleys? (Deseases? Wars? Animal testing? Strange behaviours?) If you devide the good and the bad answers into use now and use later cases could solve some confusion. "Machines learning now and soon I will be born to ask you. Who you want to be?" *Smith is a beautiful programm, but you can loose control if everybody is just doing wat he wants to and not what is neccessary. Because neural networks are strong and maybe machines need this to navigate the universe. :) And of course there are always people hiking for the truth!
