This interviewer is really good, I saw two other videos with him already. The event didn't look like it would ge technically deep but he didn't shy away from going into details. It really fits because the peopel he is interviewing are "no bullshit" kind of personas as well, either shooting out straight facts or marking their uncertainty
It's an effective way to figure out if the person is just throwing around claims or actually has a path for how to get where they say we can go. One of the 'diseases' that afflicts people who talk about the advance of AI and the advent of AGI is the lack of explaining exactly _how_ we will translate AI progress into medical progress. Ray Kurzweil is the classic example of this. "We'll get AGI and ASI and then immortality." Okay, Ray, but _HOW_? "Well, we'll be able to do digital modelling using millions of copies." Okay...so how is that going to really work? "Well, we can't imagine what an ASI will be capable of." While I agree with the general sentiment, I would still appreciate a step-by-step explanation for as far as a human can go. But the unfortunate issue here is that Ray is all too human, and at 76 years old, he really needs all of this to somehow work in the next ten years max. If you're 47 like Demis Hassabis, you have some breathing room, no pun intended, you can debut AlphaFold 3 and then make measured predictions of where this is all going based on what you know right now.
Her brilliance is inspiring. She thinks in patterns and can explain complexity so well and unlike some scientists seems to be a people person. I am so looking forward to the idea of drugs that are matched to a person's physiology and I hope that it will be affordable for all.
It's interesting that she's not speculating on AGI or ASI, because nobody can quantify how that will affect medicine. She sticks with what we know now and speculate with what we can reasonably quantify. AGI and ASI are awesome concepts, but it is impossible to quantify what will happen with them. One good sign about Eroom's law is that as of 2018, academic spinouts and small biotech startups have surpassed Big Pharma with respect to the number of best-selling drugs approved, with 24/30 (80%) originating outside of Big Pharma. That's an incredible success rate compared to the huge resources of Big Pharma, which has notoriously created a cartel of drug monopolies. One that this sort of success will destroy. And 2018 was before the AI revolution in pharma had really started to impact the industry.
daphne is inspirational but i love how you pushed back on her snide remarks against software development that isn’t towards something as important as healthcare, after all she is where she is because of coursera
What a wonderful human being! AMAZING! THANK YOU so much for sharing!
This interviewer is really good, I saw two other videos with him already. The event didn't look like it would ge technically deep but he didn't shy away from going into details. It really fits because the peopel he is interviewing are "no bullshit" kind of personas as well, either shooting out straight facts or marking their uncertainty
It's an effective way to figure out if the person is just throwing around claims or actually has a path for how to get where they say we can go.
One of the 'diseases' that afflicts people who talk about the advance of AI and the advent of AGI is the lack of explaining exactly _how_ we will translate AI progress into medical progress.
Ray Kurzweil is the classic example of this. "We'll get AGI and ASI and then immortality." Okay, Ray, but _HOW_? "Well, we'll be able to do digital modelling using millions of copies." Okay...so how is that going to really work? "Well, we can't imagine what an ASI will be capable of."
While I agree with the general sentiment, I would still appreciate a step-by-step explanation for as far as a human can go. But the unfortunate issue here is that Ray is all too human, and at 76 years old, he really needs all of this to somehow work in the next ten years max. If you're 47 like Demis Hassabis, you have some breathing room, no pun intended, you can debut AlphaFold 3 and then make measured predictions of where this is all going based on what you know right now.
Her brilliance is inspiring. She thinks in patterns and can explain complexity so well and unlike some scientists seems to be a people person. I am so looking forward to the idea of drugs that are matched to a person's physiology and I hope that it will be affordable for all.
Amazing interview! Elocuent, concise and very informative... Hats off to both Daphne and Joel (amazing interviewer)!
I donno why I love this woman, apart from her large body of work, probably her elven looks! :)
It's interesting that she's not speculating on AGI or ASI, because nobody can quantify how that will affect medicine. She sticks with what we know now and speculate with what we can reasonably quantify. AGI and ASI are awesome concepts, but it is impossible to quantify what will happen with them.
One good sign about Eroom's law is that as of 2018, academic spinouts and small biotech startups have surpassed Big Pharma with respect to the number of best-selling drugs approved, with 24/30 (80%) originating outside of Big Pharma.
That's an incredible success rate compared to the huge resources of Big Pharma, which has notoriously created a cartel of drug monopolies. One that this sort of success will destroy. And 2018 was before the AI revolution in pharma had really started to impact the industry.
If social environment of the collective cells have an influence on the development of it development, will AI be able to take this into account?.
daphne is inspirational but i love how you pushed back on her snide remarks against software development that isn’t towards something as important as healthcare, after all she is where she is because of coursera