Dr. Radhika Dirks’ mission is embodied in the organization she’s been building called XLabs. Simply put, the mission is to unleash Moonshots and change the perception of what people think is possible. “Moonshots” are the kind of goals and projects that invent a new era… the kind of projects that will usher in the intelligence age.
3:00 What is a “Moonshot Factory?”
9:00 Inventing the AI mothership, Seldn
15:00 Radhika’s story
21:00 How does AI work?
28:00 Tech that can amplify humans
36:00 How can we understand the exponential?
50:00 The 2 steps to begin designing your moonshot.
The Main Players in the Intelligence Age
XLabs is “a place that can harness the genius of people like Tesla in the 20th century.” His moonshot was a quesiton… how do you capture lightning? This question spurred the invention of electricity as we know it, and prepared the way for Edison after him. The difference between Tesla and Edison though was that no one took Tesla seriously. XLabs intends to prevent that disbelief.
Radhika saw the kind of business and funding going on in Silicon Valley didn’t particularly favor moonshot ideas. Only a specific type of proven-concept startups are favored in the tech hubs of the world, she observed, and so the idea for XLabs was born to give room for unconventional innovation in tech hubs like Silicon Valley.
XLabs spins out 3 companies a year out of the exploration that happens in their research and team-building facilities.
The AI Mothership
9:00 Radhika talks about the gap her team has been addressing in AI… why hasn’t AI totally disrupted business and technology yet? How can we create a company that works like an AI works?
The team started asking questions about the nature of AI to mimic its function in building a company. The company they’re building now learns and grows naturally as their research grows, and therefore informs how AI works. This company became Seldn, which could predict anything from labor strikes to currency changes. Because it was learning from financial models and social occurrences, the company surpassed its 3-year goals in 6 months.
Then… they started looking at what would happen if they opened Seldn’s learning across genetics, culture, media, and geological changes.
15:00 Radhika decided to come to the US at 17 years old, and “I was obsessed with learning about the Universe. How does society work? How does this instrument work?” She wanted to become a physicist and engineer, but she wanted the exposure to research and physics that was available in the States.
She attended Purdue University for physics but wanted to learn engineering to build things people can use. She studied nanotechnology for her masters, and then realized she wanted to learn to build revolutionary ideas, not incremental steps. So, she studied quantum computing for her Ph.D.
Midway through graduate school, Radhika realized that the kinds of people who can build these revolutionary technologies are not the ones who know how to build a business. So, she built a basic business to get the experience to build her first “real” company with a co-founder after grad school.
Then, Shell Oil brought her on, she founded a VC group inside of Shell and eventually moved to San Fransisco to begin building Seldn.
How Does AI Work?
21:00 Radhika distinguishes that AI is a specific kind of software that can mimic the intelligence of a human being. That means it can learn according to an objective, and alter it’s functioning based on what it learns.
Check out this video to see how Dr. Dirks describes AI.
She talks about areas of AI to mimic human functions. For example, “computer vision” to recognize and identify images, and language technology to mimic human intelligence in language. This kind is called “natural language processing.”
The moonshot for AI is to supersede mere automation of things humans can do… Radhika is interested in inventing technology that can do things that humans can’t even do very well. Like financial predictions, causation of societal problems, and creating systemic solutions.
Can we create intelligences to find the origin of diseases?
Can we find drug market sources and address them?
Can we increase safety in volatile cities or countries?
How can we use AI to amplify humans?
28:00 Here’s the matrix Radhika describes to rank different types of AI:
Things that come naturally to humans
Things that are difficult for humans
Things come easily for humans but are difficult for computers
Traditional AI is in this quadrant
Image recognition, language,
Things that are easy for computers today
Things that are difficult for humans but easy for computers
Marketplaces, mapping, problem solving, computation
Things that are too complex for computers
Humans and computers cannot do these tasks well
Predictions, socioeconomic problem solving
Starts with the question, “What is possible?”
What’s the blueprint for the future that we want to see?
36:00 Radhika introduces a though problem to demonstrate how counter-intuitive exponential growth is.
“Imagine you are filling a glass with the bacteria penicillin, which doubles every second. You start at 8:00 am. It will be full by 12:00 noon.
How full is the glass one second before noon? It’s half full.
5 seconds before 12:00 noon, the glass is only 3% full.”
So, we’re often tempted to cut off resources or measure our growth and very discouraged by what we find. But this is how moonshot-exponential growth is happening.
Non-linear frameworks for allowing exponential growth
Most companies and projects build in a linear way, with deadlines and goals. But exponential breakthroughs don’t occur that way. They often arise by accident, in solving a different problem or exploring a solution with a particular constraint.
Leaning into interesting-ness or pursuing novelty
Allowing total freedom to explore, and build solutions on top of one another
So, in order to discover something new, your team will need a lot of freedom, a few purposefully chosen constraints, and a mindset of unattached curiosity… what’s possible?
How do we prepare for change and contribute to the growth as entrepreneurs?
50:00 Radhika gives her top 2 tips for how to make a difference in bringing about the intelligence age:
“More social entrepreneurs need to start adopting this mindset. The mindset that our lives are completely going to change… and starting with creating meaning instead of creating money.
Think about – if you had all the data you could possibly need, what would you build? Start designing it. What would you create in the world with that mindset? Give yourself whatever time frame. Now, come back and ask what is possible for that vision today.”
Then, she says, you will start designing the product that will automatically collect the data you’ll need. Then, you’ll design the incentive for people to share the data that you need to fulfill that vision.
“Here’s what NOT to do… don’t try to become an expert in AI! Don’t compensate for your weaknesses. Build your strengths, and build a team.”
The exponential growth model… how long will it take for our product to be ready? Well, how do I get a specialist on my team so they can tell me how fast things are doubling? Am I 5 seconds from my 12:00 goal of a filled penicillin cup, or 4 hours away?
Do you have someone on your team to understand your timeframe, and stay on the leading edge?
“Since March of 2011, the Syrian Civil War has claimed the lives of over 500,000 innocent civilians, including 20,000 children and 13,000 women.*” Now, AI company Hala Systems has developed technology to sound air raid sirens and alert civil defense ahead of a bombing or conflict to protect the innocent in a warzone.
This means that civilians living in warzones could evacuate and survive where they would have been impacted by surprise air raids before. In this episode, hear how Hala Systems founder John Jaeger became an “accidental diplomat” to grow funding and interest in this technology, and learn more about using AI to address Global Goal 16: Peace, Justice, and Strong Institutions.
10:00 The conflict and civilian protection industry
15:00 The politics of protecting innocent people
20:00 Saving lives success metrics
24:00 How it works
32:00 Adding magic to AI to protect a lot of people
43:00 Global Goal 16: Peace, Justice and Strong Institutions
Dave Levin, John Jaeger and a Syrian computer coder founded Hala Systems, which warns Syrians of impending airstrikes. (Rena Effendi)
00:30 Hala Systems is developing advanced solutions for civilian and asset protection accountability and the prevention of violence before, during, and after conflict. They aim to keep people in things safe in places where that’s very, very difficult.
“I spent about 20 years in the private sector, both in the technology and business leadership. Then I accidentally became a diplomat back in 2012, working for the US Department of State primarily on Syria. I recognized about halfway through my tour, but there was a fairly large problem that I didn’t feel as being adequately addressed by the international community.
Idiscriminate civilian bombings.
So I thought, we must be able to do more as an international community to help mitigate the effects of that horrible violence.”
Photo by Rena Effendi for Wired
When John realized his governmental department couldn’t support funding his research and tech development to solve the problem, John left and founded Hala systems with a co-founder and a developer. After little luck with venture capitalists and impact investors, he and his cofounders backed the project themselves to prove the model.
The conflict and civilian protection industry
10:00 A lot of money and a lot of resources and a lot of news coverage is spent on kind of the downstream effects of conflict, John explains. So much funding goes to things like national security spending and things like border security, refugees and asylum and all these other socioeconomic outcomes that start with people feeling unsafe or traumatized in their country of origin.
And while the world spends a tremendous amount of effort to deal with that situation, it comes across the border and affects our society. But we don’t seem to spend as much time trying to actually solve it closer to the source. This is what I saw in Syria. There are 11 million people estimated to have been displaced by the Syrian civil war. $5, million of those people have left Syria completely.
The politics of protecting innocent people
When alerting people of coming attacks, it can look like protection initiatives are “taking a side” in a warzone. So John and his COO are thinking about, “How do we bring solutions, how do we bring protection for civilians regardless of where they happen to live within a conflict space – regardless of what religion they are or what political party they believe in.
We’d like to say that we’re not on any side of a conflict. We are the side of the people who don’t get to pick a side, and those who are the innocent civilians that are caught up in this war and don’t really have another option.
17:00 John talks about the life of a civilian in a warzone is scary, for sure… and he also shares how moving it’s been to see human resilience in the face of danger and uncertainty.
“They can still tell jokes. They can still laugh. They could still sit down and have a cup of coffee with you and talk about the weather. Human beings are astonishing, astonishingly resilient.”
Saving Lives Success Metrics
20:00 So when the team imagines the impact they are creating, they have unique success metrics.
“So when we talk about what, why did we do this, what was the, what were our performance metrics are a success metrics. It was obviously how many lives can we save? How many injuries can we prevent, but maybe bigger than that is how much trauma we could help reduce.
Though it’s been very difficult to get specific numbers of lives lost in the Syrian war, Hala Systems is determined to gether the data of quantifying their impact. They’ve been collecting lots of survivors’ stories, and they were able to measure 20-30% reduction in the lethality of air strikes in areas the tech was set up. “And we think that’s a floor, not a ceiling if we make certain improvements. That was a profound moment for us.”
DIAA AL DIN/ANADOLU AGENCY/GETTY IMAGES
How it works
24:00 The main product Hala offers is called Sentry. Here’s how it works:
“Hala’s warning system relies on both human observers and remote sensors to collect data on potential air strikes. The startup is working toward making its network more autonomous, the better to save lives. — Andrea Powell
When observers near government air bases spot warplanes taking off, they enter the type of aircraft, heading, and coordinates into an Android app, which sends the info to Hala’s servers.
Sensor modules placed in trees or atop buildings collect acoustic data, which helps Sentry confirm the type of plane, its location, and flight path.
Software crunches all the data and compares it to past attacks, predicting the likelihood of an air raid, as well as when and where it might occur.
If the potential for an air strike is high enough, the system generates an alert that’s broadcast via social media. Hala has also set up air raid sirens that Sentry can activate remotely. The warning system now gives people an average of eight minutes to seek shelter.
Watch this video to see a walkthrough of the tech dashboard.
Adding magic to AI to protect a lot of people
32:00 “The real magic is actually in the post-processing and so the trick is defined a high enough fidelity signal or a high enough fidelity set of information that you can then clean it up and do something with it using the software. And so we’re using machine learning on that front.”
The team developed a machine learning to survey across languages and gather only data that is relevant to danger of specific types in specific areas. It’s been a constant process to make it more accurate, automated and understandable. At the beginning they started with decision trees. The basics. Then, they would add more and more automated decision making processes in order to scale… and grow without resources.
“It’s great to hear for the listeners that you started with what you had… you didn’t jump into AI right away. You let it grow organically,” Chandler says.
Photo by Rena Effendi for Wired
The business model: a mission-driven for-profit
“It’s a for-profit social enterprise and that, that, that phrase sometimes makes people’s eyes crossed. But essentially what it means is that, oh, we have a double bottom line, right? Uh, so we have a mission, a mission-driven business. We’re registered as a c corporation and we are, we are a for profit.”
John talks about how great it is to get funding from governments – and, that beurocracy can change cashflow unexpectedly. “It takes time to work with governments to solve these problems,” he says, and that’s why they have their for-profit arm. They plan to explore more commercial opportunities as the tech scales and evolves.
“Part of our maturity as an organization is going to be focusing on a SMALL set of the opportunities we have commercially… we have a rich tech stack, here.”
Global Goal 16: Peace, Justice and Strong Institutions
43:00 Hala Systems is taking on Global Goal 16 as well as the Global Grand Challenges with Singularity University.
“Security is the obvious one, right?” John says. “But you’ve also got disaster resilience. That’s aided by sensing and response coordination or even health, right? So using predictive analytics to help, uh, see outbreaks or help coordinate a responder, uh, action in the event of an outbreak.”
John says a geographic expansion is next, and also innovating other kinds of predictions and maturing their tech stack. A main goal will also be in assisting in cease-fire monitoring and peacekeeping practices.
“We would love to take a role and be supportive of efforts to actually end wars.”
I think it’s important that we have these conversations and not just not just here, not just between you and me, but, but it’s important that we get the word out, right? We need to all be engaging in a dialogue about how as technology leaders we can use transformative technologies to solve the world’s hardest problems.
Check out the video below from The Unreasonable Institute’s page on Hala Systems, and see more of the impact they’re able to create in the world.
By 2030, AI and robots will most likely take care of all of our day jobs. In this episode, CEO of Singularity University Rob Nail shares some of the most innovative technologies coming to market, as well as the mindset shift we will all need to approach those changes positively.
4:45 How Rob became CEO
6:45 The 10-year Tech forecast
18:45 We don’t have to fear the future
31: How to visualize the future
38:00 The new occupations for humans: Creating empathy, entertainment, and new exploration.
47:00 Choosing our careers and adapting our businesses
Rob’s main priority is to shift how people think about the future – to move away from the dystopian vision that’s so prevalent today and shift the story to be more positive. What if people could begin seeing the future in a utopian light?
Photo Credit Ramin Rahimian
“Making a Scene” with Tony Robbins to meet Peter Diamandis
Rob’s story is interesting – he moved from feeling like an expert as a successful tech entrepreneur to realize how little he know about his technology. Rob attended a week-long executive program at Singularity University and came away with two epiphanies:
4:45 “I like to describe that first week I walked in the door thinking I was the expert in robotics and biotech. In that week I discovered lots of stuff happening in both robotics and biotech I didn’t realize were happening. I was like, how do I think of myself as a geeky silicon valley tech guy!?
Then the second epiphany for me was that I discovered breakthroughs happening in neuroscience and narrative neurology that we’re converging to ultimately disrupt that robotics business that I built. So, it was a good thing I sold it when I did!”
Rob fell in love with the SU team after that, he had found his tribe. He pitched a bunch of ideas to Peter Diamandis and soon found himself on the SU team.
A 10-Year Tech Forecast
6:45 Cofounder Ray Kurtzwell wrote a book called The Singularity is Near, which goes over the “6 Epochs” of humans and technology evolving:
Physics and ChemistryInformation in atomic structure
Biology Information in DNA
BrainsInformation in neural patterns
TechnologyInformation in hardware and software designs
The merger of Technology and Human Intelligence The methods of biology (including human intelligence) are integrated into the (exponentially expanding) human technology base
The Universe Wakes Up Patterns of matter and energy in the universe become saturated with intelligent processes and knowledge
*From The Singularity is Near Page 15
Now, that’s a lot to take in at once. Here’s how Rob summarizes:
“As technology becomes empowered with information layers, it can move at an exponential pace. So you can now take a digital photo, copy it, share it, and it never gets consumed.
So basically just builds exponentially. And that’s not just about computers and photos, but it’s also robotics and neuroscience in biology because we’re effectively digitizing these technologies. Right? So as we moved from analog to digital and we have language around the technology space, it can accelerate exponentially.
Rob mentions that this exponential creation and growth has an interesting way of devaluing the technology and products before it. Technology is outmoding itself at a faster and faster rate.
Did anyone imagine 10 years ago that we would have hundreds of free apps at our fingertips? We thought it might be a better camera and microphone… but not a teacher, a doctor, or a business hub.
10:30 Twenty-five years ago the World Cup Robo Soccer League used these clunky big robots. It was like a lego project that can barely follow a team. You could find a goal with sensors and shoot balls. Today we have high school kids who can program bipedal robots to operate as strategic teams, kicking soccer balls against competitive players.
Robot Dogs… BigDog Robot to MiniSpot
Boston Dynamics came out with the first functioning 4-legged robot to leave the lab.
Check out this video… this robot duplicates a dog’s movement patterns.
It is now possible to turn any female stem cell egg into a sex cell- an egg that could become a child. This means that women can have eggs when they need them… and increasingly we can edit and choose the traits given by the sex cells.
Changing the Narrative About the Future
18:45 When we think about it and where it takes us has to shift radically, or we’re going to just fight the change and be terrified and operate and vote out of fear. That is going to manifest these dystopian hunger games and Zombie apocalypse type movies that we’re watching Hollywood.
My goal is: we can change that narrative. We can see these technologies are actually going to help us solve the Sustainable Development Goals, right? This is the moment: we can achieve all of those goals by leveraging exponential technologies, but they’re not technology problems. They are social, political and individual courage problems.
We have to, we have to paint a vision of the future we want to create. And then having the courage to actually transform all of the systems to create it. Because the future that we’re talking about does not operate like the past.
How can we start to visualize this new, different future?
31:00 Rob says that the SU staff often read – and write – a lot of science fiction to envision what the future will be like. He suggests avoiding the depressive, “fear-mongering” or dystopian content and instead checking out the following resources:
MIT Tech Review
World Bank content
Big Management Consulting Firms… surprisingly these companies have insightful content on the future, since they have a bird’s eye view.
So… What is going to happen between now and 2030?
“Every physical task we do will eventually be performed by automation robotics. Pretty much every cognitive task is going to be better performed by AI. …I do think that jobs go away.”
36:00 A lot of people find that possibility to be scary and challenging. But it doesn’t have to be. “Our identities are wrapped up in these things that we call jobs that we need to do to survive today,” Rob says.
“I do think that jobs go away. Those things that we need to do to survive, they go away because energy will be virtually free, which means then food, water, shelter, those will be virtually free. Everyone will be on the cloud and will be connected to the Internet’s information base, which means they will have access to the greatest education, healthcare, diagnostics in AI that has ever existed. It will be far superior to anything that the richest and the Western world has access to today.”
“I think that’s a brilliant, exciting, amazing future that we should embrace and raced with fast as possible because it solves a lot of equity problems and it allows humans to do more. I do not think humanity was created to toil over jobs and labor in mines… and other things that are, you know, stressful and painful and debilitating.”
“I think humanity has a bright star trek future to explore bigger questions.”
38:45 We’re going to shift from jobs to endeavors in the following 3 categories. Humans will work with technology on these types of task:
Empathy tasks: Interacting with other humans in new ways
Entertainment tasks: Finding new ways to have fun
Exploration tasks: discovering how our brains work, how the universe works, and exploring questions like ‘Why are we here?’
How will education change?
42:00 Rob’s framework for teaching his two small kids focuses on the curiosity, critical thinking, and compassion as the top three. “It’s how they think and how they relate to the world. It’s how they’re going to be adaptable and able to continuously look at the world through new eyes. It is not going to be focused on becoming an engineer and all the engineer’s skills. It’s going to be about relating to technology and finding their passion. It is not going to be around becoming some specific career or job, because that is not going to last very long.”
How can business adapt now?
“Start thinking in a more data-analytical way,”
Rob says. He recommends reading the book Principles by Ray Dalio to learn thinking in a data-analytical mindset. He recommends small, incremental steps to integrate data is the first place to start. “Amazon web analytics gives you a good first pass.”
Say you’re 25 and you’re choosing a career. What do you do?
47:00 Well, Rob says, “The world has a lot of MBAs in it and not a lot of philosophers and not a lot of artists. So I think that those people who are following their creative pursuits and weaving in this data mindset are key. So I would spend a lot of time taking coding classes, statistics courses and some early sort of data analytics and data science courses.”
Rob emphasizes that with the mountains of data available now, the world will need creative people to interpret the data in new ways. He mentions the new fields of Design Thinking that will help us solve the world’s biggest problems.
“Setting your sights at moon shots and the worlds biggest problems is always the best way to navigate.” He also emphasizes that everyone will have a role in shaping the future… so look at your career and life as your unique contribution, and not how to make money. That will happen.
To summarize in 3 steps…
How to design your future-optimized career:
Lean into creative and philosophical pursuits.
Study data analytics to creatively interpret data in your field of interest.
Set your sights on moon shots.
How is that for a challenge?
Data is Key Every single business can start getting into the tech game by becoming more data-centric.
Resources There are plenty of accessible resources you can use to start visualizing the future and planning your next steps.
It’s not scary!! There’s a community of over 200k people leveraging technology and making these changes for good.
Challenge: As the market and world changes, how will you change? What actions can you take in the next 30 days to start those shifts?
We live in a science fiction world where we can grow human organs in pigs and very soon trust AI to diagnose cancer 12 years early. How will your business… and your body… adjust to the future?
In this episode, we talk with Dr. Tiffany Vora, Head of Faculty at Singularity University, about Digital Biology and treating DNA like computer code.
5:00 the global SU faculty
11:00 Digital Biology
17:00 Building DNA like legos
24:00 Radical transparency and programming the future of life
30:00 Bio Brokers… who owns your body’s data?
35:00 Moving from sick-care to healthcare
54:00 Developing your spidey sense
Tiffany’s mission is to boil down the education from the past 1000 years and only keep the good stuff. “And, to burn down the rest! That’s the moon shot, the meta-vision.”
Tiffany started out studying chemistry but then quickly moved into genetics research under Dr. Jane Hubbard. She decided to go to grad school instead of med school after her undergrad at NYU. She worked for a pharmaceutical company for a bit and began learning about cutting edge medicine before starting her PhD at Princeton.
She then invented a genetics tech in her grad program that had 19 million datapoints.
She completed her PhD in molecular biology and then went to teach in Cairo, Egypt. After Egypt, she transitioned out of economics and started her science communications writing and editing business. She worked with Stanford during that time and connected with Singularity University through Stanford.
Tiffany talks about the community feel of the faculty who are mostly come-and-go mentors and teachers. “There’s just a handful of full-time faculty,” she says. The group is always working to generate more and more community and conversation in all the faculty. “I feel like I’m doing my job if I ask the one question that nobody has the answer to.”
Tiffany says the faculty experience is really fun, and each person has the expertise to challenge startups and ask the tough questions that spur companies forward.
SU has parters in 6 different regions who all have similar core values and understanding of technology. Tiffany mentions how much they all learn from each other by sharing expertise from region to region.
Where is Tiffany learning about tech innovation?
“My biggest bias is that I believe technology can be used for good. I don’t believe that the robot apocalypse is coming. …I have very strong positions about that!”
Tiffany is a biologist by training, but she watches space tech, blockchain and AI to look for convergence points. How will these fields come together to create new solutions?
11:15 This field helps us conceptualize biology in the same way we think about tech. All life on earth stores life as “A, C, T, G.” So anything you can do with computer code you can do with genetic code.
If you want to move large chunks of code? That’s genetic engineering.
Want to write your code from scratch? That’s synthetic biology.
Want to debug the code one letter at a time? That’s genome editing.
So, we really can think as if the biology is the technology. This is the science that is most closely infiltrating our daily lives, Tiffany says.
What do the next 5-10 years look like for business owners and the rest of us?
As information becomes digitized, a whole new landscape opens for people and businesses. Once it’s digitized, we can:
Turn it into AI
Track it and create patterns and trends to predict people’s needs
Fix problems in biology with tech
Locate where problems are coming from
The first time the human genome was mapped was hugely expensive – thousands and thousands. Now, you can get the same information at about $200. That’s a huge business opportunity!
17:00 Now, you can build DNA molecules from scratch, like 3D printing. It’s becoming faster and cheaper, and you can create longer pieces. The longer the pieces you can create, the closer you get to writing full life programs.
I could then have the power now to program a bacterial species to eat the oil up after an oil spill. It’s like thinking about biological and life science problems with an engineering mindset. You can even make CBD and THC with yeast molecules!
So, Tiffany says, “We think about, what am I trying to do that life has already figured out how to do? How can we learn from what the natural world is trying to tell us?”
“Anything I can do to a bacterium, I can do to a human. What we can do right now is use gene editing and a couple of other tricks to make sure that no mosquito on earth could give a disease like malaria or yellow fever.
What that means is if you were to release these mosquitos into the wild you could probably affect every mosquito on the planet in about 18months. Now, we’re actually talking about what species we want to edit or wipeout.”
24:00 Tiffany talks about radical transparency and talking to the recipients, customers, and patients of any shift a government or corporation can make. “We need to be open, transparent, and honest and have as many eyes as possible on as much data as possible. That’s a new way to run a business.”
“Climate change is an existential threat to the human species and every other species on the planet. I don’t see another way that we’re going to get out of this… we can’t throw these tools away. Genetically Modifying Organisms is what humans have been doing for centuries, and it’s been hurting the planet.”
Who owns your Bio-Data?
30:00 Tiffany says she’s watching the field of Bio Brokers. This field is out to give your FitBit data and 23&Me data back to you to own and sell.
This way, individuals would:
Know who has access to the information
Know the value of that information and how to sell it
Know who to sell it to and how they will use it.
Nebula Genomics, for example, has built a cryptocurrency-protected marketplace where you can have your genome mapped and then sell it to companies who need it to test their medical products.
Tiffany talks about tracking inequalities in different demographics- gender-based inequality in access to food and health opportunities. They figured out a way to design a city so that being fit and healthy had more to do with where you live and less to do with your gender.
35:00 Picture a future in which your toilet is looking for cancer DNA in your stool… moving to preventative care that is very accessible.
Also, giving you all the data and information to optimize your own health. There’s “all these misaligned incentives in healthcare… it’s not right that a hospital can order more tests that the patient doesn’t need in order to meet their profit margin.” Now, too, Tiffany says, doctors and nurses are treated as trusted consultants instead of authorities. Think too that instead of taking 8-10 years of training to make a doctor, it will take a few days to program an AI to diagnose more accurately than a doctor.
That’s an education problem… but it’s exciting to think about the health that could be possible for us. And, it’s more about giving doctors a superpower.
Recommendations… are there living things in your supplies?
If we don’t have any more cows in the future because we’re growing beef in a lab, is your gelatin product going to be outmoded?
For real estate… is the house in a food desert? Is obesity more probable in your area? How is the water there? We’ll be thinking about these things in the quality of our daily life.
Future Implications Wheel…
In the example of growing human organs in pigs: what are the other implications?
Should I be able to smoke if I can just get a new pair of lungs?
Will we have less kids if we know we can replace organs in pigs and not through sibling organ transfers?
Where will we put all these pigs?
Will people try to replace their whole body and live forever?
“I do believe we are capable of building technologies and processes that point us toward a more positive future.”
54:00 Tiffany talks about the microbiome industry and the amazing new partnership available now.
“This is how you would write science fiction! It’s almost a wrong term… this is how I think the future is going to learn! Write science fiction for you business so you can let yourself play without rules!”
Dr. Tiffany talks on editing species in this awesome video:
In many parts of the world, students who cannot operate technology or participate in a classroom often drop out by high school.
With Key2Enablesoftware, students can use technology with the motor function available to them, and easily participate in school and life.
In this episode, we’re speaking with William de Oliveira, the Cofounder and President at Key2Enable Assistive Technology. The mission of Key2Enable is to help kids with movement disabilities to stay in school and get great jobs with access to technology that they can use easily.
We’ll cover the founders’ story, how the technology works, as well as the impact of the technology on emerging markets and underserved populations. Listen in and enjoy!
The company was founded in Brazil and now operates out of Florida. The Key X on their keyboard enables any motor-disabled person to operate a keyboard. William says,
The key X enables any person with a severe motor exhibit to have full access computers, tablets and smartphones. We give it to kids who cannot hold a pen or pencil and cannot vocalize words or speech in a regular classroom. The, they can stay in school and participate, and we can create an opportunity for them to work after they finish school.”
The founder, [01:58] Glacial Fernandez, was born with cerebral palsy. He was using a pointer to do his job, and created a concept to solve his own problem. He met Adriano and Julio and partnered with the two of them to create a prototype. Then they met William and Alexandros to help with distribution.
After starting in Brazil 5 years ago, the technology gained momentum and is now expanding into the US. “We’ve reached about 1000 students now,” William says.
How it Works
04:08 “With the first concept we created the key X. After that we created a few accessories:
Blink Accessory With the blink of an eye you can work with the keyboard. The sensor picks up eye movement and translates it to actions on the keyboard.
Squeezer Tool With the squeezer tool, students can squeeze with any part of their body.
Keyboard Button The keyboard button simplifies the use of the keyboard.
So in other words, if a person has any movement capability in their body, they can work with the Key X and access computers, tablets and smartphones.
Who Can Use Key2Enable Tools
[05:47] People with cerebral palsy and people with Parkinson’s find the tools useful since they have spasms in their hands and they moved all the time. Optical devices don’t work for them. They cannot access small keys on a keyboard or point straight to them.
“Our target is the people with severe motor disability. They are the ones who are always left out.
Our keyboard has nine very spaced out, large keys and motor-sensitive accessories that allow them to do anything we do on a regular keyboard.”
After these kids finish middle school or high school, they don’t have many opportunities in life because they don’t have the assistant who was taking notes. In places like Brazil, the assistant isn’t a given. Even in the States, the assistant may not be assigned in high school or college.
With the key X, they can now:
Work from home
Work from an office
Use Whatsapp and communication tools
Stay in school and participate in the conversation
That’s 200 million people in the world who can now participate.
10 million in the states.
“It’s No Child Left Behind – that’s kids with cerebral palsy and adults with Parkinson’s. It gives opportunity back to them.”
Global Goal #10: Reduced Inequalities for All
Specifically, Global Goal 10.2: Promote universal social economic and political inclusion.
Key2Enable innovates in multiple other Global Goals as well:
Goal 4: Quality education. People can now get online and gain access to Google or other learning tools.
Goal 8: Decent work and economic growth. Now, this whole population has access to work.
Goal 10: Reduced inequalities. Key2Enable gives more equal opportunities in school and work to those who were previously marginalized.
“We saw so many teachers, so many parents crying because they never knew their kids could do these things. It’s a new world for them.”
[16:00] It’s around 14 inches, or the size of a microwave. It’s two pounds and there’s nine buttons with two different modes. One is for writing and one is for using different colors. That allows people to write all the letters of the alphabet, all numbers, and even other languages and letters with accents. They can do anything a regular computer can do.
“We have one teenager, Daniel, who is learning to code Java by blinking his eyes.”
“One girl in Brazil, one of our first users, is now the top performer in the school in mathematics. She used to use an assistant, and now she’s at the top of her class.”
Going to Market Dec 11th, 2019
The technology went to market 2 years ago and hit US markets on December 11th. You can find them on Indiegogo and buy keyboards for school districts, individual kids and nonprofits.
Key2Enable intends to put their assistive products in the hands of every person in need all over the globe.
“Money is the first challenge, and trying to understand the way the market works,” William says.
Key2Enable will be developing partnerships with foundations and school districts to support distribution and subsidize the cost.
Chandler and William talk about validating a hardware product:
“The first four letters are the hardest! But at the same time you have to integrate everything: the plastic strength, the visual, the colors, the layout… the challenge goes from the hardware to everything in the system!”
Purchasing the Tech
The keyboard is $750 and will be available on Amazon and through Indiegogo. Partners will distribute it in local counties in the US, and online store sales will grow after 2019.