Very important and timely talk. As a hobbyist machine learning programmer I very much believe, like Cukier, that harnessing the information contained in the massive amounts of data we collect, be it the stroke patterns of our keyboards or what have you, will be key to shaping the future of humanity.
Big Data is more of a culture shift than a concept. Conceptually, it's simple, but in practice, it could open more doors than we can imagine. Great talk, Kenneth Cukier!
In this engaging talk, Kenneth Cukier asserts the importance of big data and how it going to create a profound impact on our lives in future. Highly informative, riveting and recommended to all.
I thought big data was just about analyzing and collecting data, but from this lecture I learned that big data can be used not only for import, export analysis, but also for health care, criminology, transportation, and so on.
It really is a big talk really important for this age of technology. As he says we must take time on analysing and using this in our day to day life . Thanks to TED for sharing one of the most important talks . Never ignore this talk coz wat he is talking about might ignore us tommorow.
I'm all for big data and its capabilities as long as it isn't tracable back to the individual. This is a line companies and governments must learn to respect. EDIT: 12:00 He even brought it up himself. How convenient! :)
That actually isn't possible. Any investigator or programmer worth his/her salt would be able to take a few pieces of otherwise unrelated and unidentifiable data, make connections, and find out who was on the end of it. It might take some work, but it isn't impossible.
11:15 about those three traits. Wouldn't scientists want to keep those traits on record in case those traits are correlated with cancer? In general, it seems machine learning, or more specifically unsupervised learning, can "outwit" human thinking partly because they take these "unknown" factors into account.
Fascinating and very informative talk. Machine learning is heart of big data and it is much advanced and broad topic alone. We are still too from using this data for humanity and to improve our experiencce and life.
He's not even touching on how limiting many of these big data strategies are in terms of creating feedback loops, maintaining a status quo rather than predicting massive changes. It's not going to solve all problems, some, but far from all. The industrial revolution was amazing if you were a horse. Today, we drive them around, pamper them...
Everything that collects data on an individual should not only have to pay for it, but any results should be given to the individual instantaneously, automatically and for free. Human responsibility is the only limitation on big data that will prevent negative consequences overpowering the positive.
So, they tell you: hey, we spied on you abd you sit in your kitchen. Hey, we spy on you and you make coffee. Hey, we spy on you and you eat a sandwich... would be kind of pointless and annoying... ;)
If a job can be done by a new technology for cheaper then that job WILL be replaced by that technology. Ideas like 'we need to be careful' 'make moral choices' aren't going to count.
if I was leaving school today I shouldn't just be thinking about what I want to do for a job, I should be thinking how easy is it for a machine to replace that job in the coming decades.
the first minute proves what is wrong with the way people understand economics - when you increase the size of the pie, you preclude utility maximisers. chaos is the norm.
Nothing is wrong with jobs being replaced by automation. It is a sign that we are being more efficient. The problem is the way that our economy and government deal with a lack of jobs. Basic human needs should be fully provided for by government (through taxation of the super-rich and cessation of other programs that target this benefit to only specific groups) and not though employment. Minimum wage should be removed, as its purpose will be taken over. Employment will be used to pay those who WANT to work and earn more than basic needs. As the society becomes more efficient, less jobs are available, and more goods/services become un-scarce, meaning everyone can have them through basic income.
i agree that data should not be used to predict criminal behavior and act on that before a crime is made but it can be used to be better prepared without imposing on anyone's freedom, that is just the infancy of data. data should be used to know why someone became a criminal and why they choose to act violently and add social structures to show that violence would not solve the problem. better economic guidance, education, job training and employment systems is the key to reducing crime.
When he said "America's favorite pie is what??? ...the reason that the audience said "apple" is that the audience was quoting the old slogan....like "you can't drink it slow if it's what?" "QUICK". Yet, in spite of that, the speaker took their answer literally and conclusively. Maybe people buy more apple pies because apples are cheaper, more available keep better than other fruits like peaches, blueberries, and mincemeat. Yet, the speaker instantly concludes that the reason we KNOW this is because of big data. All questions were removed by the big data, or by the speaker's beliefs about big data's ability to answer all questions. All nuances were lost with the question. America's favorite pie is apple in the very humorous and informal sense that our "favorite sport is baseball"...and yet, all sense of fun and nostalgia was lost when the speaker used limited big data "observations" to make the statement absolutely literal. Beans are a magical fruit, the more you eat, the more you _____. How do we know this? Because trains toot and some trains carry beans.
in the example at 6:21 he says that the car wouldn't allow the person to drive because the car interprets the driver's posture, and the driver would then need to put in a password to start the engine. hmm.. why can't you do away with all the data interpretation stuff and just enter the password in the first place.. imo, there are scores of other talks about big data for a layman that are delivered MUCH better than this one
"Value of information?" Information is only valuable for the ones who "know how to use it". Example: If you have 10 000 people who has access to confidential, secret, hidden or even public data, it is only usable/powerful to the ones who know or/and can use it... The average citizen in contrast to any "DATA MINING" service or company doesn't even have the chance to lay hands on behavioral, physical, cultural, personal ect ect data IN REAL TIME. Data accumulated through digital means such as phones, computers, sensors, cameras, and what not in supermarkets ect ect ect.... This paves the way for all sorts of competition, exploitation, in regards of economical advancements, weakness and strength analysis ect ect.... I mean.. If I had access to legal data mining from everything to computer clicks to smart phone usage. I would be steeeeeps ahead of "KNOWING" what the user might want, like, don't want don't like ect.... Am I saying this is bad? no... Am I saying this is good? no.... Am I trying to invoke some sort of thought or feeling? yes :)
The problem is when someone have data and are free to use it as they want, for there own purposes. They can then justify some actions on realy weke grounds. Without ever be responcible for there action.
Totally agree, I like talks that explain and reveal solutions, not skim over and mention problems and potential dangers that we all heard before. As high-level and well put together this talk may be, it probably bored a live audience such as Ted, even me. Whats really missing here is some kind of background about the speaker. As it stands it just makes me believe he works for the NSA and can't talk about his background or what makes him qualified to talk about the topic he chose.
Interesting how Minority Report is referenced right before a crime prediction system is pitched. Perhaps reference a piece of media that *isn't* all about highlighting the potential flaws of such a system?
Its not about minority or crime , He said we do a bad job at managing the current data and perhaps we should be more disciplined and selfish when it comes too Data/AI
Lol these people in the audience have looks on their faces like this guy is actually bestowing some phenomenally brilliant and new concepts to them. What this guy is talking about is pure elementary level information and common sense, but give someone a microphone, a stage, different camera angles, a beta male voice and some trendy phrases and the world will think he's a genius and eat it all up.
Handling data better is the challenge. Some apps(especially games) ask for location access unnecessarily so you just fix or randomize your location for them while you keep moving because for some apps u really need them to keep track of your location.
Apple doesn't lose in the smaller pie category because families want to share and it is the flavor of pie that they can all agree on...... Apple loses the smaller pie category because people are willing to be more adventurous and try a different flavor if they only have to commit to a smaller portion. People buy apple in the larger quantity when they want to be sure they are going to enjoy their purchase.
+Daniel Banta What you are saying is true for maybe first, second or the third time but after that people will buy small pies of their favorite flavor and big pie of their second favorite or a common favorite flavor only because u can't be adventurous at all times...can we??
+Allister Quinn Yes no doubt, this presentation was excellent. I just wanted to throw around a few other ideas about the story the data is telling. Was not trying to take anything away from the presenter :)
I know this talk touches upon some very relevant and important topics, but all I could think about is what would happen if we deployed this principle of "machine learning" into sexbots
First year University student and we are learning about big data.. Stumbled across this TED Talk thinking maybe he might have some extra insight into what I am learning. But nope. Seemed rather pointless, just spoke about ideas and what we already know about data haha... Nothing different to the next Joe blow on the street.. Honestly could have summarised what he said in a three minute powerpoint in-front of my parents and they would have told me I was 5 years late
i think such talks should also mention the aspect of sampling, more data does not always mean more information, there are pathological examples like en.wikipedia.org/wiki/The_Literary_Digest#Presidential_poll
Here's another problem with big, and small, data: what about when it's not real. When it's fabricated, when people are judged, classified and penalized for something that isn't true? Or are we in the scientist church of digital truth now? All this to me just sounds like a narrative for establishing some sort of digital faschism, where people do what the machines tell them, forgetting that the machines are programmed by, and arguably for the interest of, a select group of individuals. Big data is a big problem. And as a sideline, PIE also stands for Pedophile Information Exchange, so who is to say that big data isn't also a tool for sexual predation? Think about it, if someone is unemotional enough to pray on the young won't he, or she, be methodical enough to make tools for the job? There is yin and yang in everything and we all need to reflect on what big data, which is just a euphemism for server databaseing and cross referencing, for databaseing databases, is and will be used for. It's not all pretty and the biggest problems weren't even brought up in this talk. In the future sys admins need to scrutinized, for if they are to be in a position of power they need to be put in a position of accountability. Just as todays politicians are. Ok, bad example...
We will all live in a utopian world where computers will do our jobs and the people will have more time to enjoy life. Karl Marx will finally get what he wanted.
big data will be great for those who are honest/loyal and carry around a good nature....those who cheat/lie/steal ect...wont welcome the change...i hope it is very soon big data has big impacts on everyday life ^_^ because then i believe i will know thy neighbor w/o even talking to them
Nah it ain't. Still majority of data, especially in gov't, public sector, hospitals, banks, oil/financial industry, etc are hosted on-premise for many reasons whereas all social media garbages like FB, Twitter, etc are usually fed into big data. ERD based on data structure is simply superior to big data for its efficiency, data relations, tighter security and clients' privacy. I am a Data Architect at Ivy League level Unviersity Hospital. Patients' surgery record along with demographic info must be dealt with utmost privacy/tight regulations where big data ecosystem fails miserably. For me, personally, I'm glad I don't need to learn or have to deal with big data or any other new tech trend crap. I can stick to mainstream Data Warehouse that I have used for last 15 yrs for another 10 yrs and retire here with fat DBPP pension 👍
From the big data, which shows the efficiency can be greatly increased ,we can imagine the picture of a communist society. In the future, job will not be the tool of life but some kind of pleasure that is a necessity for everyone.
It might if it was posed like that ... but most of these things are like gee whiz marketing and mind-conditioning vignettes. Like on the right of my screen is something about a TED Talk that says "How To Grow A Tiny Forest Anywhere." Well, it does not say how to grow a tiny forest. It makes the claim that this company can do that, but it does not give any specifics at all. I think TED Talks need to be vetted to video talks that tell people real information that is useful in some real world way. I am not sure this is, and I am very sure the tiny forest one was not.
The thing is, many people don't even understand your oversimplified version of his talk. Until that is no longer true, this *is* something worthy of being a ted talk.
It really is a big talk really important for this age of technology. As he says we must take time on analysing and using this in our day to day life . Thanks to TED for sharing one of the most important talks . Never ignore this talk coz wat he is talking about might ignore us tommorow.
Everything that collects data on an individual should not only have to pay for it, but any results should be given to the individual instantaneously, automatically and for free. Human responsibility is the only limitation on big data that will prevent negative consequences overpowering the positive.
Very important and timely talk. As a hobbyist machine learning programmer I very much believe, like Cukier, that harnessing the information contained in the massive amounts of data we collect, be it the stroke patterns of our keyboards or what have you, will be key to shaping the future of humanity.
Big Data is more of a culture shift than a concept. Conceptually, it's simple, but in practice, it could open more doors than we can imagine. Great talk, Kenneth Cukier!
In this engaging talk, Kenneth Cukier asserts the importance of big data and how it going to create a profound impact on our lives in future. Highly informative, riveting and recommended to all.
I thought big data was just about analyzing and collecting data, but from this lecture I learned that big data can be used not only for import, export analysis, but also for health care, criminology, transportation, and so on.
It really is a big talk really important for this age of technology. As he says we must take time on analysing and using this in our day to day life .
Thanks to TED for sharing one of the most important talks .
Never ignore this talk coz wat he is talking about might ignore us tommorow.
I'm all for big data and its capabilities as long as it isn't tracable back to the individual.
This is a line companies and governments must learn to respect.
EDIT: 12:00 He even brought it up himself. How convenient! :)
That actually isn't possible. Any investigator or programmer worth his/her salt would be able to take a few pieces of otherwise unrelated and unidentifiable data, make connections, and find out who was on the end of it. It might take some work, but it isn't impossible.
amerahkiin Well, if not untraceable, at least demand that precautions are taken to sweep away the traces.
11:15 about those three traits. Wouldn't scientists want to keep those traits on record in case those traits are correlated with cancer?
In general, it seems machine learning, or more specifically unsupervised learning, can "outwit" human thinking partly because they take these "unknown" factors into account.
Fascinating and very informative talk. Machine learning is heart of big data and it is much advanced and broad topic alone.
We are still too from using this data for humanity and to improve our experiencce and life.
He's not even touching on how limiting many of these big data strategies are in terms of creating feedback loops, maintaining a status quo rather than predicting massive changes. It's not going to solve all problems, some, but far from all. The industrial revolution was amazing if you were a horse. Today, we drive them around, pamper them...
Citation on the pie data?
Google should put one of their driverless cars on the road in Manila, see how that goes.
LML!!!!!
Fascinating and very informative talk. Machine learning is heart of big data and it is much advanced and broad topic alone.
This guys breathing is so aggravating. I can’t leave the video because my teacher assigned us to watch it
kind of ASMR not gonna lie
Same 😣
same here doing this for assignment
Everything that collects data on an individual should not only have to pay for it, but any results should be given to the individual instantaneously, automatically and for free.
Human responsibility is the only limitation on big data that will prevent negative consequences overpowering the positive.
So, they tell you: hey, we spied on you abd you sit in your kitchen. Hey, we spy on you and you make coffee. Hey, we spy on you and you eat a sandwich...
would be kind of pointless and annoying... ;)
I keep thinking he's angry at me just by the way he talks lmfao
No, he's not angry, just asthma...
@14:05 - He's mad on the behalf of old horses
If a job can be done by a new technology for cheaper then that job WILL be replaced by that technology.
Ideas like 'we need to be careful' 'make moral choices' aren't going to count.
if I was leaving school today I shouldn't just be thinking about what I want to do for a job, I should be thinking how easy is it for a machine to replace that job in the coming decades.
Yes and 5 factors moore, making it an imposible choice!
Excellent. Simple and awesome.
What a thought provoking insightful talk!
I enjoyed hearing someone agree with the ideas of what advancing technology does to impede human labors.
the first minute proves what is wrong with the way people understand economics - when you increase the size of the pie, you preclude utility maximisers. chaos is the norm.
my man you have nasal congestion get that checked out
Nothing is wrong with jobs being replaced by automation. It is a sign that we are being more efficient. The problem is the way that our economy and government deal with a lack of jobs. Basic human needs should be fully provided for by government (through taxation of the super-rich and cessation of other programs that target this benefit to only specific groups) and not though employment. Minimum wage should be removed, as its purpose will be taken over. Employment will be used to pay those who WANT to work and earn more than basic needs. As the society becomes more efficient, less jobs are available, and more goods/services become un-scarce, meaning everyone can have them through basic income.
i agree that data should not be used to predict criminal behavior and act on that before a crime is made but it can be used to be better prepared without imposing on anyone's freedom, that is just the infancy of data. data should be used to know why someone became a criminal and why they choose to act violently and add social structures to show that violence would not solve the problem. better economic guidance, education, job training and employment systems is the key to reducing crime.
When he said "America's favorite pie is what??? ...the reason that the audience said "apple" is that the audience was quoting the old slogan....like "you can't drink it slow if it's what?" "QUICK". Yet, in spite of that, the speaker took their answer literally and conclusively. Maybe people buy more apple pies because apples are cheaper, more available keep better than other fruits like peaches, blueberries, and mincemeat. Yet, the speaker instantly concludes that the reason we KNOW this is because of big data. All questions were removed by the big data, or by the speaker's beliefs about big data's ability to answer all questions. All nuances were lost with the question. America's favorite pie is apple in the very humorous and informal sense that our "favorite sport is baseball"...and yet, all sense of fun and nostalgia was lost when the speaker used limited big data "observations" to make the statement absolutely literal. Beans are a magical fruit, the more you eat, the more you _____. How do we know this? Because trains toot and some trains carry beans.
It's not supposed to be humorous... it's talking about big data.....
In China, we hope to have more friends to join us to do Internet big data network and software as well as IT Education
Thank you!
in the example at 6:21 he says that the car wouldn't allow the person to drive because the car interprets the driver's posture, and the driver would then need to put in a password to start the engine. hmm.. why can't you do away with all the data interpretation stuff and just enter the password in the first place.. imo, there are scores of other talks about big data for a layman that are delivered MUCH better than this one
And that person better remeber that code under pistol treath when being robbed.
Shared at the speed of light? A few GB still takes my computer hours to download!
It's cause you are poor
Big Data is better data -- great #TED talk.
#bigdata
So wait a minute. So what you're telling me is that if I only supply apple pies that is the pie people are going to buy?!?!? That's brilliant!
"Value of information?" Information is only valuable for the ones who "know how to use it".
Example: If you have 10 000 people who has access to confidential, secret, hidden or even public data, it is only usable/powerful to the ones who know or/and can use it...
The average citizen in contrast to any "DATA MINING" service or company doesn't even have the chance to lay hands on behavioral, physical, cultural, personal ect ect data IN REAL TIME. Data accumulated through digital means such as phones, computers, sensors, cameras, and what not in supermarkets ect ect ect.... This paves the way for all sorts of competition, exploitation, in regards of economical advancements, weakness and strength analysis ect ect.... I mean.. If I had access to legal data mining from everything to computer clicks to smart phone usage. I would be steeeeeps ahead of "KNOWING" what the user might want, like, don't want don't like ect....
Am I saying this is bad? no... Am I saying this is good? no.... Am I trying to invoke some sort of thought or feeling? yes :)
The problem is when someone have data and are free to use it as they want, for there own purposes. They can then justify some actions on realy weke grounds. Without ever be responcible for there action.
Very nice talk!
we won't be the AIs' slaves. we will be their pets. they have no reason to threat us bad. but they will do things we can hardly dare to understand.
Haven't we watched this same TED talk several decreasingly interesting times?
Totally agree, I like talks that explain and reveal solutions, not skim over and mention problems and potential dangers that we all heard before.
As high-level and well put together this talk may be, it probably bored a live audience such as Ted, even me.
Whats really missing here is some kind of background about the speaker. As it stands it just makes me believe he works for the NSA and can't talk about his background or what makes him qualified to talk about the topic he chose.
Each time he says data, I say metrics in my head to correct him. Am I incorrect?
Interesting how Minority Report is referenced right before a crime prediction system is pitched. Perhaps reference a piece of media that *isn't* all about highlighting the potential flaws of such a system?
Its not about minority or crime , He said we do a bad job at managing the current data and perhaps we should be more disciplined and selfish when it comes too Data/AI
Lol these people in the audience have looks on their faces like this guy is actually bestowing some phenomenally brilliant and new concepts to them. What this guy is talking about is pure elementary level information and common sense, but give someone a microphone, a stage, different camera angles, a beta male voice and some trendy phrases and the world will think he's a genius and eat it all up.
Truth is kind of a factor as well!
yeah but that's everything.
wow amazing great great great no words to describe such a topic to me.
Big Data? Bigger sample size gives us more accurate information about something? Who would have thought.
there are a lot of talks on TED about big data!!!
Handling data better is the challenge. Some apps(especially games) ask for location access unnecessarily so you just fix or randomize your location for them while you keep moving because for some apps u really need them to keep track of your location.
companies use big data to innovate a new product
Apple doesn't lose in the smaller pie category because families want to share and it is the flavor of pie that they can all agree on......
Apple loses the smaller pie category because people are willing to be more adventurous and try a different flavor if they only have to commit to a smaller portion.
People buy apple in the larger quantity when they want to be sure they are going to enjoy their purchase.
+Daniel Banta What you are saying is true for maybe first, second or the third time but after that people will buy small pies of their favorite flavor and big pie of their second favorite or a common favorite flavor only because u can't be adventurous at all times...can we??
+Allister Quinn Yes no doubt, this presentation was excellent. I just wanted to throw around a few other ideas about the story the data is telling. Was not trying to take anything away from the presenter :)
+sahil verma Ah! Yeah good point, adventurous pie eating definitely has its limits :)
People who think safety is a principle are as ignorant as they are dangerous
I know this talk touches upon some very relevant and important topics, but all I could think about is what would happen if we deployed this principle of "machine learning" into sexbots
This guy saw CGP Grey's video on the subject, I'm sure
yeah he even uses the exact same analogies sometimes
First year University student and we are learning about big data.. Stumbled across this TED Talk thinking maybe he might have some extra insight into what I am learning. But nope. Seemed rather pointless, just spoke about ideas and what we already know about data haha... Nothing different to the next Joe blow on the street..
Honestly could have summarised what he said in a three minute powerpoint in-front of my parents and they would have told me I was 5 years late
Kind of a friendly heads up.
Dalhousie rocks
i think such talks should also mention the aspect of sampling, more data does not always mean more information, there are pathological examples like en.wikipedia.org/wiki/The_Literary_Digest#Presidential_poll
wow...this was goooooood!
is it now???
Excelente!
"honk inside" the car...for a sleepy person...lol. if they weren't driving, that would be hilarious.
C.G.P Grey?
the pie analogy didn't work. choosing a smaller pie isn't about having more data...
Here's another problem with big, and small, data: what about when it's not real. When it's fabricated, when people are judged, classified and penalized for something that isn't true? Or are we in the scientist church of digital truth now? All this to me just sounds like a narrative for establishing some sort of digital faschism, where people do what the machines tell them, forgetting that the machines are programmed by, and arguably for the interest of, a select group of individuals. Big data is a big problem. And as a sideline, PIE also stands for Pedophile Information Exchange, so who is to say that big data isn't also a tool for sexual predation? Think about it, if someone is unemotional enough to pray on the young won't he, or she, be methodical enough to make tools for the job? There is yin and yang in everything and we all need to reflect on what big data, which is just a euphemism for server databaseing and cross referencing, for databaseing databases, is and will be used for. It's not all pretty and the biggest problems weren't even brought up in this talk. In the future sys admins need to scrutinized, for if they are to be in a position of power they need to be put in a position of accountability. Just as todays politicians are. Ok, bad example...
America's favorite pie is...? I thought "a pie chart"
Powerful...
yes
Amazing!
why tf am I so confused
hahahha
Wagish Rai dude check this out.
But! can it cure baldness ? Seems to skirt that issue hahaha
Imagine how powerful hackers will become, sounds like fucking utopia to me, bring it!
he sounds like he's about to cry
lol(╥﹏╥)
epic intro
Great!!
Just excellant
......Datafied....datafied
So mainstream ...
mush
Hank
wow, thats why Im a genius, I always play with myself.
We will all live in a utopian world where computers will do our jobs and the people will have more time to enjoy life. Karl Marx will finally get what he wanted.
In China, we hope to have more friends to join us to do Internet big data network and software as well as IT Education
big data will be great for those who are honest/loyal and carry around a good nature....those who cheat/lie/steal ect...wont welcome the change...i hope it is very soon big data has big impacts on everyday life ^_^
because then i believe i will know thy neighbor w/o even talking to them
I, Robot.
awesomeeeeee
Again with the horse. Leave the horse alone! We are not horses! The society is not revolved around horses!
Not anymore it isn't.
oh come on.
google: The Space Shuttle and the Horse's Rear End
sounds like a copy of CGP Grey
Nah it ain't. Still majority of data, especially in gov't, public sector, hospitals, banks, oil/financial industry, etc are hosted on-premise for many reasons whereas all social media garbages like FB, Twitter, etc are usually fed into big data.
ERD based on data structure is simply superior to big data for its efficiency, data relations, tighter security and clients' privacy. I am a Data Architect at Ivy League level Unviersity Hospital. Patients' surgery record along with demographic info must be dealt with utmost privacy/tight regulations where big data ecosystem fails miserably.
For me, personally, I'm glad I don't need to learn or have to deal with big data or any other new tech trend crap. I can stick to mainstream Data Warehouse that I have used for last 15 yrs for another 10 yrs and retire here with fat DBPP pension 👍
We should focus on 'data', not 'big'. Big data is also data, which is document of a past. It cannot predict the future from it.
From the big data, which shows the efficiency can be greatly increased ,we can imagine the picture of a communist society. In the future, job will not be the tool of life but some kind of pleasure that is a necessity for everyone.
The audio on this video is beyond annoying.
Your comment is beyond annoying.
His breathing is so irritatnig
.
Stop making talks about data. Where's the natural sciences, visual arts and architecture?
welcome to 2014
2000 is the algoritmic millenum!
Are you kidding me...?
"Bigger sample sizes give us better data!" ... THIS IS FIRST GRADE STATISTICS!!! THIS DOESN'T BELONG ON FUCKING TED TALKS!!!
It might if it was posed like that ... but most of these things are like gee whiz marketing and mind-conditioning vignettes. Like on the right of my screen is something about a TED Talk that says "How To Grow A Tiny Forest Anywhere."
Well, it does not say how to grow a tiny forest. It makes the claim that this company can do that, but it does not give any specifics at all.
I think TED Talks need to be vetted to video talks that tell people real information that is useful in some real world way. I am not sure this is, and I am very sure the tiny forest one was not.
The thing is, many people don't even understand your oversimplified version of his talk. Until that is no longer true, this *is* something worthy of being a ted talk.
When do you plan to give your TED Talk?
iviewthetube When I have something better to say than to speak about first grade stuff you learn in high school. Maybe even earlier than that.
you picked one of his sentences out of a whole talk...
if you pick words that people say out of context you can always make them sound dumb.
Worst TED Talk ever?
..... 2030
parkour ai robots billion times smarter than all humans jumping around.
Big Data, who knows..
I don't agree with you....
im only here because I have to write an essay. thanks a lot.
Too sloooow
something wrong with this guy lol
ajhfd
True people will realise this when Asimo is 1000 times smarter and 220 cm high, and they are totaly enslaved. It will go very fast towards the end!
Too bad that currently Big Data is used more for power and enrichment instead of using it for humanity and environment.
Hungry for apples?
It really is a big talk really important for this age of technology. As he says we must take time on analysing and using this in our day to day life .
Thanks to TED for sharing one of the most important talks .
Never ignore this talk coz wat he is talking about might ignore us tommorow.
Everything that collects data on an individual should not only have to pay for it, but any results should be given to the individual instantaneously, automatically and for free.
Human responsibility is the only limitation on big data that will prevent negative consequences overpowering the positive.