YouSaid · the spoken record

Gary Wolf

lines on the record
44
first
2017-05-01
most recent
2017-05-01
sittings or episodes
1
sources
podcast

Every line below is reproduced as it was said and linked to the record it came from. Nothing here is summarised or generated. Directory · Search · Corrections

  1. I'm so glad you brought that up because one of the things that I don't like is when we preemptively decide things before there's sort of this permissionless innovation and creativity that can happen. But to your point, we absolutely have to be more thoughtful about those consequences. I mean, one great example on a very evolutionary scale of this conversation, we had Yval Harari on this podcast, and he's the author of sapiens and Homo deus. And one of the big things that he pointed out is like as we enter a world where we may be able to augment ourselves with technology, it could actually entrench inequalities because a certain class of people might be able to afford a certain class of devices or augmentation that other people might not. And in fact, what was previously an inequality of societal cultural level becomes a technological one then. And then one that actually really affects outcomes.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  2. Of that. And so I'd say that for even if you think that you're not collecting data about yourself, it's being collected anyway. And so it's important to think about some of the Can avoid it. So, how do we think about moving forward positively?

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  3. Go in and have an x ray taken over your foot to see if the shoe fit well and it was this novelty. But over time we realized that there were actually very dangerous side effects to x-rays. And it didn't mean that the x-rays shouldn't be used or should be outlawed completely, but that there were particular circumstances in which we should use x-rays, but we also needed to exercise caution. And I think that we're going to realize that data is a lot like x-rays. in that there are very many positive benefits that we will be able to get out of having this data but it's also important to exercise some amount of caution because data has become permanent and once it exists about us it's there and they're going to be a lot of potentially dystopian kinds of futures that might come

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  4. One of the things that we have to figure out as a society is how do we think about some of the questions about what happens when our entire lives are monitored, not just by our wearables, but by our homes, by our bathrooms, by our cars, wearables are changing and evolving, but they're not going to go away. What kinds of systems do we want to have set up such that we're protected further down the line so we have Gina, the genomic information non-discrimination act, which prevents your genomic information from being used against you in certain ways. But all of this data that we're collecting now, I like to think about it the same way that in the 1950s and 60s, x-rays were used in shoe stores.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  5. That's actually the inevitable progression of technology, too, right? Because you have things like the Homebrew Club, which sort of took this DARPA-based centralized notion of computing. And then you also have the communities of personal computing, you know, PC enthusiasts. And the mainstream. And we are an interesting point, I think, with technology in general where We're seeing a lot of this where there are certain things that are being developed at a government level and people at a consumer level are plugging into that in different ways, which I think is really relevant.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  6. Okay, that's it. I've been using Yeah, I think that continuous biometric data is going to be inevitable. Data can be used for good or for bad. There's dystopic versions of how to use this data, but the status quo as is pretty dystopic where everyone's obese. So I'm just excited or at least hopeful, optimistic that the more data that we have, the better decisions we can make to improve not just ourselves, but the society around us. The interesting thing around the social dynamics around biohacking and eutropics that there's always been two veins of groups. One, you have the community base and these are people doing n equals one self-experiments. And then you have academia that's being funded by Department of Defense or DARPA to create super soldiers or just more enhanced humans. And I think where this interesting point where these two different groups are really converging to one. So we can start seeing some of these

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  7. If you knew the ground truth of say how many steps you've actually walked today, that would be great. But that's not possible. And so all of your different devices have different algorithms that they're running. And so you have multiple noisy views of some underlying round truth. And so one way I like to think about this, especially with respect to healthcare, I like to think of going to a doctor's visit as going to have a studio portrait taken, like a professional portrait where the lighting is right and they know how to pose you. And a lot of the digital health tools that we have are much more like selfies taken on an old cell phone, which are not really great quality photos, but they can taken together with the studio quality portraits. They add more information. And if you take all of the

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  8. Right. And I think if we constantly eat maybe, you know, intermittent fasting is interesting shared intervention. We're all going to be tracking our blood glucose, our insulin responses. I think that could be something that brings quantified self from more of a niche activity to be a standard protocol for people to live by.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  9. And I think that just from a historical perspective, going to the gym is only a recent phenomenon in the last 20, 30 years. Physical labor was just a part of our livelihoods for most of human civilization And now we have to make an intervention of exercise back into

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  10. And I think just like reflecting back to maybe why it's a slow adoption, I think Gary's point is spot on. Culture takes a long time to shift. I think one interesting notion is that we're probably the sickest cohort of humans in the history of humanity if you look at obesity. Alzheimer's diabetes. I think one of the latest statistics up to 75% of Americans are predicted to be obese by 2050, which is insane.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  11. I totally agree. I mean, it's the broader theme of this conversation, too, which is about changing culture. People have been wearing totemic objects for ages that have no function except maybe signaling for how many cowrie shells you have on your necklace.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  12. People wear things for all sorts of reasons. But if we wore things just for utility, we'd probably be walking around wearing our workout clothes and our running shoes, all of the time. And so this goes back to what we were saying before, of like understanding your users is really important. If you can't get somebody to wear the device that you've built, none of the sophisticated algorithms that you have matter at all.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  13. Its own category. So I think anything that you wear on your body that collects data about you or allows you to interact with other devices could be wearable. It's interesting to see the different categories of wearables. It's not just activity trackers. Obviously virtual and augmented reality is another category of wearable Google Glass paved the way for wearing wearables on your face. I have the new snap spectacles and I just collected a lot of interesting eye-level videos on my recent crypto roam.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  14. I'd say that generally the electronics that you wear, although I have an antique Tiffany pedometer from the late 1800s, which is completely mechanical. So I'd say that wearables are anything that you wear that can help track or interact with the world. We have fitness trackers and activity trackers as one category of wearables. Another category that's becoming more popular now are hearables. These are headphones that often have sensors in them. I recently got a Kickstarter pair of hearables called B-I. They do a lot of the biosensing that is done under wrist elsewhere and they also have an AI coach. And so the goal of hearables is to move towards Like augmented reality for your auditory system, so like in the movie for, so hearables is another category of wearables.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  15. So our bodies produce energy, ATP, using either glucose through a process called glycolysis or what's typically sort of a backup turbocharge state, which is using ketosis, which develops ketones. So ketones are compounds that are broken down from fat, and our cells can use that to create ATP. And it's very interesting because a lot of emerging data run ketones being more efficient for the mitochondria to produce energy. You actually get more power per unit carbon using ketones as opposed to glucose. So that's been very interesting from a biohacking perspective. How to use ketones potentially as a more efficient fuel for various performance.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  16. And then the self is a synonym for personal. It's a usefully ambiguous word that concentrates all of the most important and often implicit things that we care about. But the difference between personal computing and quantified self is that personal computing is a category of computing. Computing is the noun and personal is the adjective. Quantified self is really a way of thinking about the self and the computing or the technology that's in the term is a way of thinking that's connected to lots of other ways people have thought about themselves throughout history.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  17. Well, one of the ways to think about quantified self is as a variation on the words personal computing, quantified really is a synonym for computing by quantified we don't just mean it has a numeral, but we mean that observations are structured in such a way that they can use some of the techniques of science and technology to work with them. So that's quantified.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  18. I make one quick comment. If you think about your idea about censorifying the environment, not just like the wearables, the first thing that went through my head is, but what is a baby monitor in a baby's room, but that. It's literally putting visual sensors. It's actually a way of demystifying this scary idea, this augmented vision into a child's room. Yeah.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  19. Yeah, gaming vacation mechanic, right? Sometimes feeling good is its own reward, but it doesn't hurt to, like, my favorite thing is a to-do list and being able to check it off is like the most satisfying thing in the world. And it's a very minor thing, but it's a perfect example of how you can design for.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  20. And then the only thing you can make active, you have to make it feel good at the end of the day. You have to have some sort of closed reward loop. A lot of people that like exercising it feels good to do that 15 minute run or when you're fasting. It feels good to get into ketosis, make sure that they actually have some sort of like gamified vacation.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  21. I come from the world of ethnography and ethnographic methods are critical because you're not relying on like user studies of what people say they want or do, but you're actually observing them and their natural behaviors and their natural habitat and then designing for the individual as part of this larger ecosystem to your point. Are they a caregiver? Are they a caretaker, mother, father, aging parents? It could be any, you know, permutation thinking about technology and context is pretty critical for adoption. I mean, that's how the GUI came about, that you're really embedded in this perspective of how people are actually using it. Jeffrey, you referenced the Homebrew Club earlier, but the reality is it's only when people started thinking about, okay, how do we make this like for kids to be able to use computers?

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  22. Many people are deeply involved in caring for other people and in doing that caregiving and caretaking, they often deprioritize some things like how much time they spend at the gym and how closely they monitor what they eat. And yet they take those values, family values and community values to actually be superior. So in their minds, they make a choice that is a conscious choice and a justified choice in which their physical health is sometimes sacrificed. In terms of designing products or designing services, I do think it's important to start pretty far upstream with an attitude of kind of open-mindedness and respect to the variety of circumstances in which users of those products may find themselves.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  23. Well, there's a best practice in design, which is to get deeply involved with the users of the products. There are often some really unexpected discoveries that you make when you bring yourself close to that situation. A range of questions that isn't very well. And so I would say that it would be a useful exercise to stand a little bit closer to the reality of many, many, many other people and listen to how they describe the questions that are really on their minds. And just to give you an example of that.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  24. Just speaking of vehicles at the vehicle, like your car is another great place for monitoring. You're a captive audience, you can have sensors and a steering wheel. You can have Cameras that are pointed towards your face because you're facing in the same direction. There are a number of car manufacturers who are adding these kinds of sensors in the car, whether for use in driving, looking at drowsiness, et cetera. I guess in the same way as the bathroom is piggybacking on something that you already do. Sitting in a car is something that you already do.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  25. One thing that I've been thinking about a lot is that wearables are interesting, but could the sensors be in the environment around you? So, for example, could you imagine a futuristic clinic gym where, you know, instead of going to the urinal and you're peeing away all this data, you're collecting all your feces, your urine, you're having your microbiome sequenced then and there.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  26. Have a funk where you wonder what's wrong with you. You could just have this mood ring talk to the lighting in your house. They could automatically compensate and you wouldn't have to. Go through that cycle every fall.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  27. The quantified health community, people are swapping recipes and figuring out how to make cookies, but we haven't figured out kind of the mass cookie recipe that works for everybody. I think that what a cookie will look like will be apps and services built on top of this data that don't require people to look at the data. Predictive models like, hey, you're at risk for a heart attack because we've seen in all of the populations like you that preceding heart attacks, this is what data looked like. That will be one path when we can tie these things to clinically relevant outcomes. And I think another path will be closing feedback loops automatically. So without the person in the mooding that would monitor how much exposure I've had to light. And instead of going through the seasonal affective disorder,

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  28. So, I think that that's completely right, and that's why we're seeing a bit tapering in the wearables area. It's not the beginning of the end of wearables right now. I think that we're at the end of the beginning. So the way that I like to think about this is I like to compare all of these devices to mills that are turning into flour. And instead of flour, they're producing data. And some people say, hey, I love to bake. I have data like now I know exactly how I'm going to answer these questions about myself. This is great. Most people say, okay, I have flour, but I don't bake. I want a cookie. Where's my cookie? And the challenge is that there aren't cookies yet. And that's not the fault of any one company. It's just a reflection of where the field is. We're still in the early days. We have the crappiest cell phone cameras of the early 2000s.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  29. Well, that's actually really interesting because didn't nootropic sort of spawn on Reddit as a community? That is sort of the equivalent of sort of this very engaged base as creating knowledge for people in public. But I have a pushback, which is I buy the argument that things that are early trends, they start small and they grow big. I buy the argument that a highly engaged group of people can help drive that. I also think people are very lazy fundamentally and very resistant to change and sometimes change does happen upon them passively, to quote a word used earlier, but people wearable and they don't do anything with that data because it's very easy to optimize for one half of this and you kind of treat the act of doing it as the act itself. It's as if you've already done it.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  30. About the things that are really important to us, even if you imagine just for the sake of a kind of quick little heuristic, that only you a tenth of a percent of the people who are actively using some wearable technology are engaged in a process that you might describe as a quantified self-process of reasoning with their data. That's still tens of thousands of people even today growing ultimately into hundreds of thousands of people. And for cultural change, think about something like Wikipedia or other novel forms, new forms of knowledge making, that one-tenth of a percent at any given time is generating material that's really useful to many other people.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  31. However, quantified self as a community is much, much smaller than that. And that makes sense to me because to be motivated to use these tools to make a new discovery, you have to have a question that is really driving you. And fortunately, and we're not compelled to really, really think hard about something that's really, really bothering us all the time, right? That would be no good if that were the general condition that humans lived in. But none of us get away with a whole life without having something that we have to think about in which the off-the-shelf solutions aren't working. You know, we might have tried one or two things that seem kind of obvious, but something didn't work and we have a questions in our mind. So we use our brain and we use our tools that are available to us to observe and to make changes. In that dimension, the dimension of how do we reason about ourselves and make discovery?

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  32. I do. I'm interested in quantified self as a cultural phenomenon, and cultural change has a certain time scale that seems fast in retrospect, but slow if you, for instance, have to deliver returns to your investors in a few years. And I think quantified self has two meanings. On the one hand, it's used as shorthand for a market and the market is wearables and fitness devices. On the other hand, the quantified self is an actual community of people doing real things and interacting with each other, developing methods and sharing knowledge. The market is much bigger and fitbit alone has well over 20 million active users. So this is a lot of people. It's not just. A very small group of advanced users.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  33. We understand that, but we know exactly what I don't know specifically in what, yeah, exactly that. But Gary, you've got the longest vantage point of us in terms of what worked then and now. Like, do you see much difference in the community genuinely from the community that you engage with?

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  34. I'm not dietic, but I use it to understand my blood glucose levels and how it responds to fasting, how it responds to ketogenic diets versus a more carbon-heavy meal. Because I think we all intuitively understand, hey, a certain routine, a regimen, or sometimes you feel better or worse. And I think reflecting why we care about collecting the sand in the first place, let's actually get quantified to all the possible inputs that could contribute to a mental state of productivity or sloth.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  35. Even more of an original analogy, homebrew computing club computer hackers, right? These were garage tinkerers, and now everyone has a supercomputer in their pocket. So echoing ratio, I think a lot of these things will become a lot more passive. I've been wearing continuous glucose monitors designed for diabetics.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  36. Think about this as cell phones or cell phone cameras as they became cheaper and more and more people had them. And cell phone cameras also used to be pretty poor quality photos. But at the end of the day, the best camera is the one that you have. And so people kept using their cell phone cameras and they got better and better. And now most of us don't own regular cameras. We just use our cell phones. The devices that we wear are on a similar trajectory where right now we're in the poor quality photo phase. Over time, there are going to be better resolution and they're going to be used by more people. But I also think in passive ways that don't necessarily require engagement, a lot of the tracking will be invisible, which is different from the quantified self. There will always be room for people who want to be engaged.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  37. Exactly a lot of these continuous measuring allows us to be constantly correcting. We should be manipulating our health and wellness on a continuous basis, not a snapshot basis. That's what I think about with nootropics and biohacking. We have interventions entering as inputs into the human system. You know, we have sort of noisy signal coming out, whether that's working or not. Well, to really solve and answer these questions on a rigorous level, we have to actually close a loop here. Finally, with concepts from quantified self, with wearables, with sensors, we can actually finally close the loop.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  38. Imagine that we're driving cars and we only let ourselves open our eyes every minute. And that's essentially like the snapshot of information we get when we go to the doctor, right? We get our panels and then the doctor's like, hey, course correct with this XYZ, right? That's like us jerking the steering wheel.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  39. I spent 12 years looking at noisy signals from the brain and trying to understand how the brain produces behavior. The thing about neuroscience is that most of it is done in a lab environment right now. But what we really care about is behavior in the real world. And up until the last five, ten years, it was really difficult to get data about behavior in the real world. And now all of the tools that have been coming online provide us a way to be able to actually collect data about our daily patterns and what we do. And that not only will it be helpful for understanding how the brain works, but it is really important for medicine as well. We can take this data that right now is more on the health and fitness space, look at it in a longitudinal sense, and tie it together with

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  40. So I'm hearing this theme of being able to link inputs to outputs. And for the first time because of all the information and tools we have that we have this ability to do this. Rachel, you haven't shared your framing yet for how you think about this world and arrived to it because when I think of sensification, wearables are a big part of that and you're a leader in thinking about wearables. You got your PhD at Stanford Neuroscience.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  41. Even if we have good evidence at the group level, often what we care about most is did it work for me and also what price did I pay in terms of, say, side effects? And all of these areas are now sort of dramatically accessible to us in a way that they never have been before.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  42. Right, exactly, exactly, how we sleep, how we feel, go to any bookstore and you'll see shelf after shelf of ideas about things that are supposed to dramatically improve our lives. Most of these ideas are tried without any attempt To carefully measure whether they work for us or not. And you may think that that sort of failure to follow up and failure to reason carefully about our actions typifies just New Age stuff or self-help stuff. But let me tell you, even in the world of professional science, the drugs that we take, there's really a lack of ability to carefully think about how these affect Us as individuals.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  43. Now in daily life, we can apply some techniques that used to be really professional techniques that engineers and scientists would use, but were very difficult for most people to use. These have been packaged into software, even just storing the data is a lot easier, so much easier to track what's going on. So all of this empirical toolkit is now available to us when we want to think about something. And yet we actually don't know very much about what works and what doesn't work, even in improving the daily aspects of our lives, never mind kind of the impossible dreams that are in front of us.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source

  44. Our body. Yeah, I think we all want to live longer. I mean, I think this is a very human instinct. Cortez, finding a fountain of youth. I think what's interesting with quantified self measuring biometrics, biohacking is that we finally now have the tools and the sensors that actually quantify and measure the inputs and outputs of the human system. So let's apply engineering perspective to the human biology.

    2017-05-01 · a16z Podcast · a16z Podcast: On Wearables, Quantified Self, and Biohacking · IDENTIFIED FROM THE TRANSCRIPT · source