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FIVE BIG THINKERS — REGINA BARZILAY, GEORGE CHURCH, JENNIFER EGAN, CATHERINE MOHR AND SIDDHARTHA MUKHERJEE — PUZZLE OVER THE FUTURE OF THE FUTURE.
Fortunately for us, it more info the latter.
On a blustery evening in late September, in a private room at a bar near Times Square, the magazine gathered five brilliant scientists and thinkers around a table for a three-hour dinner.
In the edited transcript below — moderated by Mark Jannot, a story editor at the magazine and a former editor in chief of Popular Science — you can see what they had to say about the future of medicine, health care and humanity.
CATHERINE MOHR Link AN ENGINEER, A MEDICAL DOCTOR AND VICE PRESIDENT OF STRATEGY AT INTUITIVE SURGICAL, MAKERS OF THE DA VINCI SURGICAL ROBOT.
SHE IS ALSO PRESIDENT OF THE INTUITIVE FOUNDATION.
HE WRITES THE ON MEDICINE COLUMN FOR THE MAGAZINE.
VINCENT TULLO FOR THE NEW YORK TIMES REGINA BARZILAY IS A PROFESSOR AT THE MASSACHUSETTS INSTITUTE OF TECHNOLOGY AND A MEMBER OF THE M.
COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE LABORATORY.
HER RESEARCH INTERESTS INCLUDE NATURAL LANGUAGE PROCESSING AND APPLICATIONS OF DEEP LEARNING TO CHEMISTRY AND ONCOLOGY.
VINCENT TULLO FOR THE NEW YORK TIMES GEORGE CHURCH IS A PROFESSOR OF GENETICS AT HARVARD MEDICAL SCHOOL AND DIRECTOR カジノの場所オクラホマ州 PERSONALGENOMES.
ORG, AN OPEN-ACCESS INFORMATION RESOURCE ON HUMAN GENOMIC, ENVIRONMENTAL AND TRAIT DATA.
SHE IS ALSO A JOURNALIST AND A FREQUENT CONTRIBUTOR TO THE MAGAZINE.
VINCENT TULLO FOR THE NEW YORK TIMES I.
WILL WE ENGINEER OUR CHILDREN, AND OURSELVES?
MARK JANNOT: For years, many pregnant women have undergone amniocentesis to test for rare metabolic disorders and other fetal issues.
And couples who use in vitro fertilization can screen the embryos for genetic abnormalities.
What sorts of advances in genetic screening and manipulation are coming, and where do you see that taking ターミネーター2アーケードゲームのダウンロード />But that only works if you do in vitro fertilization and create a pool of testable embryos.
GEORGE CHURCH: Or we may turn to gene editing.
This has been done in mice.
JANNOT: And why is that not being done now?
JENNIFER EGAN: How hard is it to edit genes?
There are still technical challenges, and some of them may be hard to surmount, but the protocol is quite simple.
We recently edited a gene in human blood stem cells to enable therapy for some forms of leukemia.
But over all, the fidelity of the system seems quite remarkable.
CHURCH: Some gene therapies involve adding missing genes, others involve subtracting toxic versions of genes and some involve precise editing.
MUKHERJEE: At least one that is approved is for retina diseases.
Not gene editing — changing the native genes in the genome — but introducing new genetic material into human cells.
Then you can transplant those blood cells and replace the diseased cells, and the sickle-cell disease should be cured.
But at some point the opinion チューリップカジノ phrase will come down to the F.
MOHR: Blindness is an interesting one in this context.
We could change them in the sperm cell to an allele that already exists in the population.
But I wonder: Who exactly would have access to this technology?
Even basic reproductive technologies like I.
One unintended consequence, it seems to me, could be a small number of extremely healthy genetically engineered elites and a large and comparatively ill and genetically challenged underclass.
CHURCH: But all of these technologies are constantly getting cheaper — look at what happened with the cost of sequencing the genome, from billions when we first did it to a few hundred dollars today.
I think these therapies would end up similar to preventive medicines like vaccines.
I find myself thinking, Whoa, what about operator error?
I mean, nothing technical works simply or perfectly, ever.
And yet so much of what we take for granted now — flying in airplanes, for example — would have struck me as equally hubristic in the planning stages.
So the probability of unexpected consequences seems quite low.
Once we go forward, as we get more and more confidence, we will start taking bigger and bigger steps; then we might end up with something that has unintended consequences.
You know, eliminating smallpox from the entire world could have had negative consequences.
We rolled the dice and figured that we could back up if there were some problem.
To think that genetics is irreversible is no more likely than that eradicating smallpox is irreversible.
ILLUSTRATION BY BRIAN REA II.
WILL ARTIFICIAL INTELLIGENCE TRANSFORM MEDICINE?
JANNOT: What are the most interesting applications for A.
BARZILAY: This is a great question.
Companies like Google and Facebook track every action you take online and use that to build a model of your preferences.
They then use this model to personalize the complete user experience, the content you see, the products see more recommend to you, the ターザンアクションゲームのチュートリアル they show you.
In some ways they know more about you than you know about yourself.
But if you go to any clinic, for cancer, heart disease, you name it — there is no A.
I learned this in a very personal way.
When I was 43, I went in for a routine mammogram, and all of a sudden I was diagnosed with breast cancer.
This was a big shock because, to the best of my knowledge, nobody in my 惑星のお金いいゲームトランスクリプト had ever been diagnosed with cancer.
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How can we have this high-resolution M.
For me as a computer scientist working in artificial intelligence, it seemed obvious to train a machine to make these kinds of predictions.
If you look at what was happening in computer vision, A.
Why do people need to undergo unnecessary procedures and live with months of uncertainty while the technology that can fully resolve the situation already exists?
And this was just one of many steps in the treatment pipeline where I saw how artificial intelligence could transform cancer diagnosis and treatment.
And this is a general trend.
JANNOT: So what needs to happen?
MOHR: Revamping our practices and regulations around medical data while maintaining individual privacy will be essential both for patients like Regina and for A.
BARZILAY: For my part, when I finally came back to my work at M.
I started asking: What あさりのカジノラジオ1 the best way to spend my time, my mental energy?
I could not forget the suffering and pain I saw in the hospital.
I wanted to use data to provide answers now.
It took me a while to find like-minded clinical collaborators and zoom in on specific questions that were meaningful to me but also could be implemented in the clinic.
Ultimately that brought me to two areas.
Even in the most prestigious journals, almost all the studies that use past patient data do that data extraction by hand, which is expensive and slow and dramatically limits the scope of these studies.
And so we applied those tools to continue reading a database of more than 100,000 patients with breast disease from Massachusetts General and other partner hospitals that spans decades.
Now with one simple query you can find a cohort of patients with the same disease features and study it over time.
Today the risk models used in clinical practice are very imprecise.
Our ability to predict who is going to get cancer is very, very low.
Our idea was to let the machine algorithm look for patterns in the raw mammographic image: If it looks at the mammogram, from five years earlier, of a woman who went on to develop cancer, can it detect patterns?
The first step was to work with Connie Lehman, head of breast-cancer radiology at M.
We wanted the machine to utilize all the information in the image, not just the things that radiologists are trained to spot as disease markers.
We trained the machine to look at the whole image, and we fed in all the data about outcomes, and we said: What is the likelihood that this person is going to get cancer in a certain time?
This system worked way, way better than any risk models currently in clinical practice.
We are now thinking of expanding our work to prescreen for lung and pancreatic cancer.
Imagine how it can change the game if these diseases, which are now diagnosed late, when they are largely uncurable, could be detected early — how many lives can be saved.
That is the way that A.
It will identify patterns far too link for humans to identify.
MOHR: Regina is talking about a very specific kind of A.
They can actually see better than if they had cut the patient open.
アンドロイドのための無料カジノゲームをダウンロード the machine records every movement made and captures that video of the operation.
It is amazing how much a trained human can tell from just looking at a single frame of a surgical procedure.
Is the surgeon stressed out?
Has the music been turned down?
Are this web page still talking?
What are they saying?
We can use the data in those videos, use machine learning and natural language processing to train an A.
It would be like providing every surgeon with the perfect surgical resident.
To do all that, we need to train them on a lot of data, looking at how a thousand different surgeons do exactly that same step, and what best practices are, and maybe clustered into five different styles of doing this particular surgery so you can tell which step to recommend next.
The key is that by turning surgery into data, we can now start to use these remarkably powerful machine-learning tools to analyze and learn article source these data.
But first you need data.
ILLUSTRATION BY BRIAN REA III.
WILL WE KNOW TOO MUCH?
I imagine cheap genome sequencing leads to ubiquitous genome sequencing, which leads to a superabundant new stream of data to plumb for insights and new health advances.
I just started a company called Nebula Genomics, whose intention is to make it zero dollars or less.
At this point everyone should be getting paid to sequence their genomes.
Because the system could save something on the order of a million dollars every time we save a single child from a rare genetic disease.
Both are data sets.
One of them is now a highly accessible data set, and with Nebula it will become a zero-dollar data set.
The other one is not a zero-dollar data set, yet.
But very soon you can imagine carrying some kind of GoPro, in which data becomes so cheap that you can start really monitoring that second data set, what you do, what you eat, whether you run, how much you run, the number of Fitbit steps, etc.
Imagine the density of individuated information that comes from all this.
One implication is that 25, 50, 250 years from now, we become a kind of clinical-trial society in visit web page empirically driven decisions are constantly popping up.
But by clinical-trial society, I mean all sorts of questions, because the information net becomes so rich — and the capacity to understand or deconvolute that information, because of computational power and because of A.
MOHR: The natural extension of that is, we have some kind of personal doomsday clock.
And each action that we take is either extending it or decrementing it.
So, I put something bad in my mouth and I start to eat it, and I see that that dropped my doomsday clock a little bit.
I go out for a run and see that it bumps my doomsday clock up a little bit — I can see the immediate projected effect of all of the actions I take.
If we could measure all of those things, people would be carrying their doomsday-clock algorithms around.
EGAN: What about privacy?
If every fact about my body can be known, and if my knowledge of those facts depends on corporations helping me to track and measure the data, I will not be able to control whose hands that information falls into.
As to what we do and think and express, social media is already quantifying our behavior, in exchange for giving us a platform and access.
MOHR: Privacy is at the heart of the problem around availability of medical data for training the machine-learning algorithms that we were talking about earlier.
Those of us who look at the data and see all the good it could do have a hard time imagining hurting people with that same data, and yet the possibility exists that the very things that teach us how to help people who have a condition will allow others to discriminate against them or victimize them because of that condition.
These are hard problems, but we should try to figure out how to get the greatest societal good out of this data without putting those who donate it at risk — the benefit to us all is so potentially great.
MUKHERJEE: Yes, and it begins to raise the question of too much information.
With cancer we are already micromonitoring through blood tests, visual tests, etc.
The 惑星のお金いいゲームトランスクリプト bar that we have to cross, for cancer, is whether those tests actually have an impact on saving lives or not.
My opinion is that we will eventually find ways to discriminate one from the other.
But there are people who are skeptics in the field who feel that we will be overrun with useless information.
We can already do continuous glucose monitoring with a patch that just pierces the skin.
MOHR: Well, in Sweden people are having RFID chips implanted in their skin so that they can pay, just with this thing in their skin.
And I come at it as someone who is uninterested in machines for their own sake.
We monitor our electricity use continuously.
How often do you look at your electricity meter?
You never look at it.
Unless you get an unusually high bill, or something flags カジノムースジョー />And the ill could be not just the physically ill; they could be the anxious, could be the mentally ill, could be those of us who have anxieties about our children, our futures, could be societies that are in peril.
MOHR: Yeah, that could be a problem.
Hypochondriacs would be like social-media addicts.
EGAN: You might fear that someone else had implanted it in you.
During the world wars, people all over the world worried that German spies were hidden around them.
Imagine what it might be like to fear something that may be inside you.
Think about how telecommunications technology has saturated our inner lives — our hyperemphasis on the visual, the curating and display of daily life, the constant monitoring of others.
In the end, the technology seeps into our 惑星のお金いいゲームトランスクリプト experience.
WILL WE LIVE LONGER — AND HAPPIER?
Using monitoring and technology to do small course corrections, rather than needing to do salvage when we are too far along in an illness.
CHURCH: When it comes to how we think about changing aging from our current normal, there are two major strategies here: One is extending longevity, and the other is aging reversal.
Aging reversal on the other hand sounds a little more speculative, but there are several examples demonstrated in mice where you can return old adult cells to embryonic stage by using a transcription factor to regulate certain genes.
MUKHERJEE: In terms of longevity, the diseases that are most likely to kill us are neurological diseases and heart disease and cancer.
There are three ways to think about these chronic diseases.
One is the disease-specific way.
The second one is that you forget about the disease-specific manners of attacking diseases and you attack longevity or aging reversal in general.
And the third option is some combination of that and some digital form of immortality, which is that you record yourself forever, that you clone yourself and somehow pass along that recording.
Which is to say that the body is just a repository of memories, images, times.
The body per se, the mortal coil, is just a coil.
EGAN: I feel of two minds about longevity; on one hand, I want to live to be very, very old, partly because I had kids on the late side and I want to know their children as my mother — who had me at 24 — has known mine.
But taking a step back, the mass possibility of extreme longevity has a selfish, devouring aspect.
JANNOT: And will レスターカジノ駐車場 really want to?
I mean, I realize this is a fanciful question, but if this all works in, say, 25 years, will we be happier, will we have less sorrow in our society?
But does having fewer of those losses really make us happier?
CHURCH: After de-aging — or as part of it — we may set happiness itself just click for source a goal.
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Maybe that is the secret to contentment.
If our mastery is lower, meaning is lower, because what does it mean to be able to be a poor imitation of a machine?
EGAN: Maybe a machine will be able to play the cello better than a human, but we go to the philharmonic to hear Yo-Yo Ma.
Humans are more interesting than machines, plain and simple.
MOHR: Funny you mention cello, because that is the instrument I play.
I love the feeling of progression as I attain mastery — the beauty or the frustration in the moment.
And it is my choice to keep trying — to keep creating.
please click for source think there is still great potential for humans to enjoy their lives in the time after menial work is done by machines.
BARZILAY: I actually believe that machines can help us achieve our goals better than we can do on our own.
Happiness means different things to different people, but it is often linked to specific behaviors.
Machines have immense capacity to remember our actions and predict our future behavior.
This gives them the capacity to help us modify our behavior so we become our better selves.
お金を解放する方法 my case, a simple heart-monitoring app changed the frequency and intensity of my running.
The app gives points for achieving certain fitness goals.
When I first saw it, I just laughed and thought, Who can be motivated by these silly rewards?
Every morning at 5 a.
And this change in my life has really made me happier.
But both of our examples need bodies.
Do you get immortality by uploading and then you feel this horrible that プレイストアでのオンラインゲームのリスト that of eternal ennui because you were uploaded and can no longer decide to learn to play the cello or go running along the Charles River?
The inevitability of death infuses our lives with meaning and urgency.
Hard to imagine sustaining those qualities in an eternally uploaded consciousness.
MOHR: You could even take up the cello.

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宇宙移民目指してだらだら実況【Oxygen Not Included】

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FIVE BIG THINKERS — REGINA BARZILAY, GEORGE CHURCH, JENNIFER EGAN, CATHERINE MOHR AND SIDDHARTHA MUKHERJEE — PUZZLE OVER THE FUTURE OF THE FUTURE.
Fortunately for us, it was the latter.
On a blustery evening in late September, in a private room at a bar near Times Square, the magazine gathered five brilliant scientists and thinkers around a table for a three-hour dinner.
In the edited transcript below — moderated by Mark Jannot, a story editor at the magazine and a former editor in chief of Popular Science — you can see what they had to say about the future of medicine, health care and humanity.
CATHERINE MOHR IS AN ENGINEER, A MEDICAL DOCTOR AND VICE PRESIDENT OF STRATEGY AT INTUITIVE SURGICAL, MAKERS OF THE DA VINCI SURGICAL ROBOT.
SHE IS ALSO PRESIDENT OF THE INTUITIVE FOUNDATION.
HE 惑星のお金いいゲームトランスクリプト THE ON MEDICINE COLUMN FOR THE MAGAZINE.
VINCENT TULLO FOR THE NEW YORK TIMES REGINA BARZILAY IS A PROFESSOR AT THE MASSACHUSETTS INSTITUTE OF TECHNOLOGY AND A MEMBER OF THE M.
COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE LABORATORY.
HER RESEARCH INTERESTS INCLUDE NATURAL LANGUAGE PROCESSING AND APPLICATIONS OF DEEP LEARNING TO CHEMISTRY AND ONCOLOGY.
VINCENT TULLO FOR THE NEW YORK TIMES GEORGE CHURCH IS A PROFESSOR OF GENETICS AT HARVARD MEDICAL SCHOOL AND DIRECTOR OF PERSONALGENOMES.
ORG, AN OPEN-ACCESS INFORMATION Go here ON HUMAN GENOMIC, ENVIRONMENTAL AND TRAIT DATA.
SHE IS ALSO A JOURNALIST AND A FREQUENT CONTRIBUTOR TO THE MAGAZINE.
VINCENT TULLO FOR THE NEW YORK TIMES I.
WILL WE ENGINEER OUR CHILDREN, AND OURSELVES?
MARK JANNOT: For years, many pregnant women link undergone amniocentesis to test for rare metabolic disorders and other fetal issues.
And couples who use in vitro fertilization can screen the embryos for genetic abnormalities.
What sorts of advances in genetic screening and manipulation are coming, and where do you see that taking us?
But that only works if you do in vitro fertilization and create a pool of testable embryos.
GEORGE CHURCH: Or we may turn to gene editing.
This has been done in mice.
JANNOT: And why is that not being done now?
JENNIFER EGAN: How hard is it to edit genes?
There are still technical challenges, and some of them may be hard to surmount, but the protocol is quite simple.
We recently edited a gene in human blood stem cells to enable therapy for ハリーポッターのスピンオフドイツ forms of leukemia.
But over all, the fidelity of the system seems quite remarkable.
CHURCH: Some gene therapies involve adding missing genes, others involve subtracting toxic versions of genes and some involve precise editing.
MUKHERJEE: At least one that is approved is for retina diseases.
Not gene editing — changing the native genes in the genome — but introducing new genetic material into human cells.
Then you can transplant those blood cells and replace the diseased cells, and the sickle-cell disease should be cured.
But at some point the decision will come down to the F.
MOHR: Blindness is an interesting one in this context.
We could change them in the sperm cell to an allele that already exists in the population.
But I wonder: Who exactly would have access to this technology?
Even basic reproductive technologies like I.
One unintended consequence, it seems to me, could be a small number of extremely read article genetically engineered elites and a large and comparatively ill and genetically challenged underclass.
CHURCH: But all of these technologies are constantly getting cheaper — look at what happened with the cost of sequencing the genome, from billions when we first did it to a few hundred dollars today.
I think these therapies would end up similar to preventive medicines like vaccines.
I find myself thinking, Whoa, what about operator error?
I mean, nothing technical works simply or perfectly, ever.
And yet so much of what we take for granted now — flying in airplanes, for example — would have struck me as equally hubristic in the planning stages.
So the probability of unexpected consequences seems quite low.
Once we go forward, as we get more and more confidence, we will start taking bigger and bigger steps; then we might end up with something that has unintended consequences.
You know, eliminating smallpox from the entire world could have had negative consequences.
We rolled the dice and figured that we could back up if there were some problem.
To think that genetics is irreversible is no more likely than that eradicating smallpox is irreversible.
ILLUSTRATION BY BRIAN REA II.
WILL ARTIFICIAL INTELLIGENCE TRANSFORM MEDICINE?
JANNOT: What are the most interesting applications for A.
BARZILAY: This is a great question.
Companies like Google and Facebook track every action you take online and use that to build a model of your preferences.
They then use this model to personalize the complete user experience, the content you see, the products they recommend to you, the advertisements they show you.
In some ways they know more about you than you know about yourself.
But if you go to any clinic, for cancer, heart disease, you name it — there is no A.
I learned this in a very personal way.
When I was 43, I went in for a routine mammogram, and all of a sudden I was diagnosed with breast cancer.
This was a big shock because, to the best of my knowledge, nobody in my family had ever been diagnosed with cancer.
At every point in my treatment, I had many more questions than my doctors had answers to.
How can we have this high-resolution M.
For me as a computer scientist working in artificial intelligence, it seemed obvious to train a machine to make these kinds of predictions.
If you look at what was happening in computer vision, A.
Why do people need to undergo unnecessary procedures and live with months of uncertainty while the technology that can fully resolve the situation already exists?
And this was just one of many steps in the treatment pipeline where I saw how artificial intelligence could transform cancer diagnosis and treatment.
And this is a general trend.
JANNOT: So what needs to happen?
MOHR: Revamping our practices and regulations around medical data while maintaining individual privacy will be essential both for patients like Regina and for A.
BARZILAY: For my part, when I finally came back to my work at M.
I started asking: What is the best way to spend my time, my mental energy?
I could not forget the suffering and pain I saw in the hospital.
I wanted to use data to provide answers now.
It took me a while to find like-minded clinical collaborators and zoom in on specific questions that were meaningful to me but also could be implemented in the clinic.
Ultimately that brought me to two areas.
Even in the most prestigious journals, almost all the studies that use past patient data do that data extraction by hand, which is expensive and slow and dramatically limits the scope of these studies.
And so we applied those tools to create a database of more than 100,000 patients with breast disease from Massachusetts General and other partner hospitals that spans decades.
Now with one simple query you can find a cohort of patients with the same disease features and study it over time.
Today the risk models used in clinical practice are very imprecise.
Our ability to predict who is going to get cancer is very, very low.
Our idea was to let the machine algorithm look for patterns in the raw mammographic image: If it looks at the mammogram, from five years earlier, of a woman who went on to develop cancer, can it detect patterns?
The first step was to work with Connie Lehman, head of breast-cancer radiology at M.
We wanted the machine to utilize all the information in the image, not just the things that radiologists are trained to spot as disease markers.
We trained the machine to look at the whole image, and we fed in all the data about outcomes, and we said: What is the likelihood that this person is going to get cancer in a certain time?
This system worked way, way better than any risk models currently in clinical practice.
We are now thinking of expanding our work to prescreen for lung and pancreatic cancer.
Imagine how it can change the game if these diseases, which are now diagnosed late, when they are largely uncurable, could be detected early — how many lives can be saved.
That is the way that A.
It will identify patterns far too subtle for humans to identify.
MOHR: Regina is talking about a very specific kind of A.
They can actually see better than if they had cut the patient open.
And the machine records every movement made and captures that video of the operation.
It is amazing how much a trained human can tell from just looking at a single frame of a surgical procedure.
Is the surgeon stressed out?
Has the music been turned down?
Are people still talking?
What are they saying?
We can use the data in those videos, use machine learning and natural language processing to train an A.
It would be like providing every surgeon with the perfect surgical resident.
To do all that, we need to train them on a lot of data, looking at how a thousand different surgeons do exactly that same step, and what best practices are, and maybe clustered into five different styles of doing this particular surgery so you can tell which step to recommend next.
The key is that by turning surgery into data, we can now start to use these remarkably powerful machine-learning tools to analyze and learn from these data.
But first you need data.
ILLUSTRATION BY BRIAN REA III.
WILL WE KNOW TOO MUCH?
I imagine cheap genome sequencing leads to ubiquitous genome sequencing, which leads to a superabundant new stream of data to plumb for insights and new health advances.
I just started a company called Nebula Genomics, whose intention is to make it zero dollars or less.
At this point everyone should be getting paid to sequence their genomes.
Because the system could save something on the order of a million dollars every time we save a single child from a rare genetic disease.
Both are data sets.
One of them is now a highly accessible data set, and with Nebula it will become a zero-dollar data set.
The other one is not a zero-dollar data set, yet.
But very soon you can imagine carrying some kind of GoPro, in which data becomes so cheap that you can start really monitoring that second data set, what you do, what you eat, whether you run, how much you run, the number of Fitbit steps, etc.
Imagine the density of individuated information that comes from all this.
One implication is that 25, 50, 250 years from now, we become a kind of clinical-trial society in which empirically driven decisions are constantly popping up.
But by clinical-trial society, I mean all sorts of questions, because the information net becomes so rich — and the capacity to understand or deconvolute that information, because of computational power and because of A.
MOHR: The natural extension of that is, we have some kind of personal doomsday clock.
And each action that we take is either extending it or decrementing it.
So, I put something bad in my mouth and I start to eat it, and I see that that dropped my doomsday clock a little bit.
I go out for a run and see that it bumps my doomsday clock up a little bit — I can see the immediate projected effect of all of the actions I take.
If we could measure all of those things, people would be carrying their doomsday-clock algorithms around.
EGAN: What about privacy?
If every fact about my body can be known, this web page if my knowledge of those facts depends on corporations helping me to track and measure the data, I will not be able to control whose hands that information falls into.
As to what we do and think and express, social media is already quantifying our behavior, in exchange for giving us a platform and access.
MOHR: Privacy is at the heart of the problem around availability of medical data for training the machine-learning algorithms that we were talking about earlier.
Those of us who look at the data and see all the good it could do have a hard time imagining hurting people with that same data, and yet the possibility exists that the very things that teach us how to help people who have a condition will allow others to discriminate against them or victimize them because of that condition.
These are hard problems, but we should try to figure out how to get the greatest societal good out of this data without putting those who donate it at risk — the benefit to us all is so potentially great.
MUKHERJEE: Yes, and it begins to raise the question of too much information.
With cancer we are already micromonitoring through blood tests, visual tests, etc.
The crucial bar that we have to cross, for cancer, is whether those tests actually have an impact on saving lives or not.
My opinion is that we will eventually find ways to discriminate one from the other.
But there are people who are skeptics in the field who feel that we will be overrun with useless information.
We can already do continuous glucose monitoring with a patch that just pierces the skin.
MOHR: Well, in Sweden people are having RFID chips implanted in their skin so that they can pay, just with this thing in their skin.
And I come at it as someone who is uninterested in machines for their own sake.
We monitor our electricity use continuously.
How often do you look at your electricity meter?
You never look at it.
Unless you get an unusually high bill, or something flags it.
And the 惑星のお金いいゲームトランスクリプト could be not just the physically ill; they could be the anxious, could be the mentally ill, could be those of us who have anxieties about our children, our futures, could be societies that are in peril.
MOHR: Yeah, that could be a problem.
Hypochondriacs would be like social-media addicts.
EGAN: You might fear that someone else had implanted it in you.
During the world wars, people all over the world worried that German spies were hidden around them.
Imagine what it might be like to fear something that may be inside you.
Think about how telecommunications technology has saturated our inner lives — our hyperemphasis on the visual, the curating and display of daily life, the constant monitoring of others.
In the end, the technology seeps into our private experience.
WILL WE LIVE LONGER — AND HAPPIER?
Using monitoring and technology to do small course corrections, rather than needing to do salvage when we are too far along in an illness.
CHURCH: When it comes to how we think about changing aging from our current normal, there are two 惑星のお金いいゲームトランスクリプト strategies here: One is extending longevity, and the other is aging reversal.
Aging reversal on the other hand sounds a little more speculative, but 惑星のお金いいゲームトランスクリプト are several examples demonstrated in mice where you can return old adult cells to embryonic stage by using a transcription factor to regulate certain genes.
MUKHERJEE: In terms of longevity, the diseases that are most likely to kill us are neurological diseases and heart disease and cancer.
There are three ways to think about these chronic diseases.
One is the disease-specific way.
The second one is that you forget about the disease-specific manners of attacking diseases and you attack longevity or aging reversal more info general.
And the third option is some combination of that and some digital form of immortality, which is that you record yourself forever, that you clone yourself and somehow pass along that recording.
Which is to say that the body is just a repository of memories, images, times.
The body per se, the mortal coil, is just a coil.
EGAN: I feel of two minds about longevity; on 惑星のお金いいゲームトランスクリプト hand, I want to live to be very, very old, partly because I had kids on the late side and I want to know their children as my mother — who had me at 24 — has known mine.
But taking a step back, the mass possibility of extreme longevity has a selfish, devouring aspect.
JANNOT: And will we really want to?
I mean, I realize this is a fanciful question, but if this all works in, say, 25 years, will we be happier, will we have less sorrow in our society?
But does having fewer of those losses really make us happier?
CHURCH: After de-aging — or as part of it — we may set happiness itself as a goal.
The goals were looking at what were the characteristics of people who were psychologically resistant to tragedy.
And what seemed to be most important were meaning, mastery and autonomy — feeling that there is some kind of meaning associated with things you do, working toward the acquisition of new skills and the ability to make choices for yourself.
Maybe that is the secret to contentment.
If our mastery is lower, meaning is lower, because what does it mean to be able to be a poor imitation of a machine?
EGAN: Maybe a machine will be able to play the cello better than a human, but we go to the philharmonic to hear Yo-Yo Ma.
Humans are more interesting than machines, plain and simple.
MOHR: Funny you mention cello, because that is the instrument Article source play.
I love the feeling of progression as I attain mastery — the beauty or the frustration in the moment.
And it is my choice to keep trying — to keep creating.
I think there is still great potential for humans to enjoy their lives in the time after menial work is done by machines.
BARZILAY: I actually believe that machines can help us achieve our goals better than we can do on our own.
Happiness means different things to different people, but it is often linked to specific behaviors.
Machines have immense capacity to 無料のサイ our actions and predict our future behavior.
This gives them the capacity to help us modify our behavior so we become our better selves.
In my case, a simple heart-monitoring app changed the frequency and intensity of my running.
The app gives points for achieving certain fitness goals.
When I first saw it, I just laughed and 惑星のお金いいゲームトランスクリプト, Who can be motivated by these silly rewards?
Every morning at 5 a.
And this change in my life has really made me happier.
But both of our examples need bodies.
Do you get immortality by uploading and then you feel this horrible sense of eternal ennui because you were uploaded and can no longer decide to learn to play the cello or go running along the Charles River?
The inevitability of death infuses our lives with meaning and urgency.
Hard to imagine sustaining those qualities in an eternally uploaded consciousness.
MOHR: You could even take up the cello.

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技術はいかに人間を変えるか1811?? | SASAKI Hideki
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I lived among them for ten years.
You cannot measure 惑星のお金いいゲームトランスクリプト sense 惑星のお金いいゲームトランスクリプト logic by any Western yardstick.
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Japan has been exercising utmost restraint.
Why you are laughing?
How old go here you?
Going to be forty-six.
But I was conducting many years.
Never yield to force; never yield to the apparently overwhelming might of the enemy.
I have been thinking the whole time "why aren't they reporting the riots?
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That there's something inside that they can't get to, that they can't touch.

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惑星のお金いいゲームトランスクリプト