Story by Big Think
We live in strange times, when the technology we depend on the most is also that which we fear the most. We celebrate cutting-edge achievements even as we recoil in fear at how they could be used to hurt us. From genetic engineering and AI to nuclear technology and nanobots, the list of awe-inspiring, fast-developing technologies is long.
However, this fear of the machine is not as new as it may seem. Technology has a longstanding alliance with power and the state. The dark side of human history can be told as a series of wars whose victors are often those with the most advanced technology. (There are exceptions, of course.) Science, and its technological offspring, follows the money.
This fear of the machine seems to be misplaced. The machine has no intent: only its maker does. The fear of the machine is, in essence, the fear we have of each other — of what we are capable of doing to one another.
How AI changes things
Sure, you would reply, but AI changes everything. With artificial intelligence, the machine itself will develop some sort of autonomy, however ill-defined. It will have a will of its own. And this will, if it reflects anything that seems human, will not be benevolent. With AI, the claim goes, the machine will somehow know what it must do to get rid of us. It will threaten us as a species.
Well, this fear is also not new. Mary Shelley wrote Frankenstein in 1818 to warn us of what science could do if it served the wrong calling. In the case of her novel, Dr. Frankenstein’s call was to win the battle against death — to reverse the course of nature. Granted, any cure of an illness interferes with the normal workings of nature, yet we are justly proud of having developed cures for our ailments, prolonging life and increasing its quality. Science can achieve nothing more noble. What messes things up is when the pursuit of good is confused with that of power. In this distorted scale, the more powerful the better. The ultimate goal is to be as powerful as gods — masters of time, of life and death.
Should countries create a World Mind Organization that controls the technologies that develop AI?
Back to AI, there is no doubt the technology will help us tremendously. We will have better medical diagnostics, better traffic control, better bridge designs, and better pedagogical animations to teach in the classroom and virtually. But we will also have better winnings in the stock market, better war strategies, and better soldiers and remote ways of killing. This grants real power to those who control the best technologies. It increases the take of the winners of wars — those fought with weapons, and those fought with money.
A story as old as civilization
The question is how to move forward. This is where things get interesting and complicated. We hear over and over again that there is an urgent need for safeguards, for controls and legislation to deal with the AI revolution. Great. But if these machines are essentially functioning in a semi-black box of self-teaching neural nets, how exactly are we going to make safeguards that are sure to remain effective? How are we to ensure that the AI, with its unlimited ability to gather data, will not come up with new ways to bypass our safeguards, the same way that people break into safes?
The second question is that of global control. As I wrote before, overseeing new technology is complex. Should countries create a World Mind Organization that controls the technologies that develop AI? If so, how do we organize this planet-wide governing board? Who should be a part of its governing structure? What mechanisms will ensure that governments and private companies do not secretly break the rules, especially when to do so would put the most advanced weapons in the hands of the rule breakers? They will need those, after all, if other actors break the rules as well.
As before, the countries with the best scientists and engineers will have a great advantage. A new international détente will emerge in the molds of the nuclear détente of the Cold War. Again, we will fear destructive technology falling into the wrong hands. This can happen easily. AI machines will not need to be built at an industrial scale, as nuclear capabilities were, and AI-based terrorism will be a force to reckon with.
So here we are, afraid of our own technology all over again.
What is missing from this picture? It continues to illustrate the same destructive pattern of greed and power that has defined so much of our civilization. The failure it shows is moral, and only we can change it. We define civilization by the accumulation of wealth, and this worldview is killing us. The project of civilization we invented has become self-cannibalizing. As long as we do not see this, and we keep on following the same route we have trodden for the past 10,000 years, it will be very hard to legislate the technology to come and to ensure such legislation is followed. Unless, of course, AI helps us become better humans, perhaps by teaching us how stupid we have been for so long. This sounds far-fetched, given who this AI will be serving. But one can always hope.
This article originally appeared on Big Think, home of the brightest minds and biggest ideas of all time.
Personalized nutrition apps could provide valuable data to people trying to eat healthier, though more research must be done to show effectiveness.
“We discovered that different foods spike people differently,” he says. “Some people spike to pasta, others to bread, others to bananas, and so on. It’s very personalized and our feeling was that building programs around these devices could be extremely powerful for better managing people’s glucose.”
Unbeknown to Snyder at the time, thousands of miles away, a group of Israeli scientists at the Weizmann Institute of Science were doing exactly the same experiments. In 2015, they published a landmark paper which used CGM to track the blood sugar levels of 800 people over several days, showing that the biological response to identical foods can vary wildly. Like Snyder, they theorized that giving people a greater understanding of their own glucose responses, so they spend more time in the normal range, may reduce the prevalence of type 2 diabetes.
The commercial potential of such apps is clear, but the underlying science continues to generate intriguing findings.
“At the moment 33 percent of the U.S. population is pre-diabetic, and 70 percent of those pre-diabetics will become diabetic,” says Snyder. “Those numbers are going up, so it’s pretty clear we need to do something about it.”
Fast forward to 2022,and both teams have converted their ideas into subscription-based dietary apps which use artificial intelligence to offer data-informed nutritional and lifestyle recommendations. Snyder’s spinoff, January AI, combines CGM information with heart rate, sleep, and activity data to advise on foods to avoid and the best times to exercise. DayTwo–a start-up which utilizes the findings of Weizmann Institute of Science–obtains microbiome information by sequencing stool samples, and combines this with blood glucose data to rate ‘good’ and ‘bad’ foods for a particular person.
“CGMs can be used to devise personalized diets,” says Eran Elinav, an immunology professor and microbiota researcher at the Weizmann Institute of Science in addition to serving as a scientific consultant for DayTwo. “However, this process can be cumbersome. Therefore, in our lab we created an algorithm, based on data acquired from a big cohort of people, which can accurately predict post-meal glucose responses on a personal basis.”
The commercial potential of such apps is clear. DayTwo, who market their product to corporate employers and health insurers rather than individual consumers, recently raised $37 million in funding. But the underlying science continues to generate intriguing findings.
Last year, Elinav and colleagues published a study on 225 individuals with pre-diabetes which found that they achieved better blood sugar control when they followed a personalized diet based on DayTwo’s recommendations, compared to a Mediterranean diet. The journal Cell just released a new paper from Snyder’s group which shows that different types of fibre benefit people in different ways.
“The idea is you hear different fibres are good for you,” says Snyder. “But if you look at fibres they’re all over the map—it’s like saying all animals are the same. The responses are very individual. For a lot of people [a type of fibre called] arabinoxylan clearly reduced cholesterol while the fibre inulin had no effect. But in some people, it was the complete opposite.”
Eight years ago, Stanford's Michael Snyder began studying how continuous glucose monitors could be used by patients to gain real-time updates on their blood sugar levels, transmitted directly to their phone.
The Snyder Lab, Stanford Medicine
Because of studies like these, interest in precision nutrition approaches has exploded in recent years. In January, the National Institutes of Health announced that they are spending $170 million on a five year, multi-center initiative which aims to develop algorithms based on a whole range of data sources from blood sugar to sleep, exercise, stress, microbiome and even genomic information which can help predict which diets are most suitable for a particular individual.
“There's so many different factors which influence what you put into your mouth but also what happens to different types of nutrients and how that ultimately affects your health, which means you can’t have a one-size-fits-all set of nutritional guidelines for everyone,” says Bruce Y. Lee, professor of health policy and management at the City University of New York Graduate School of Public Health.
With the falling costs of genomic sequencing, other precision nutrition clinical trials are choosing to look at whether our genomes alone can yield key information about what our diets should look like, an emerging field of research known as nutrigenomics.
The ASPIRE-DNA clinical trial at Imperial College London is aiming to see whether particular genetic variants can be used to classify individuals into two groups, those who are more glucose sensitive to fat and those who are more sensitive to carbohydrates. By following a tailored diet based on these sensitivities, the trial aims to see whether it can prevent people with pre-diabetes from developing the disease.
But while much hope is riding on these trials, even precision nutrition advocates caution that the field remains in the very earliest of stages. Lars-Oliver Klotz, professor of nutrigenomics at Friedrich-Schiller-University in Jena, Germany, says that while the overall goal is to identify means of avoiding nutrition-related diseases, genomic data alone is unlikely to be sufficient to prevent obesity and type 2 diabetes.
“Genome data is rather simple to acquire these days as sequencing techniques have dramatically advanced in recent years,” he says. “However, the predictive value of just genome sequencing is too low in the case of obesity and prediabetes.”
Others say that while genomic data can yield useful information in terms of how different people metabolize different types of fat and specific nutrients such as B vitamins, there is a need for more research before it can be utilized in an algorithm for making dietary recommendations.
“I think it’s a little early,” says Eileen Gibney, a professor at University College Dublin. “We’ve identified a limited number of gene-nutrient interactions so far, but we need more randomized control trials of people with different genetic profiles on the same diet, to see whether they respond differently, and if that can be explained by their genetic differences.”
Some start-ups have already come unstuck for promising too much, or pushing recommendations which are not based on scientifically rigorous trials. The world of precision nutrition apps was dubbed a ‘Wild West’ by some commentators after the founders of uBiome – a start-up which offered nutritional recommendations based on information obtained from sequencing stool samples –were charged with fraud last year. The weight-loss app Noom, which was valued at $3.7 billion in May 2021, has been criticized on Twitter by a number of users who claimed that its recommendations have led to them developed eating disorders.
With precision nutrition apps marketing their technology at healthy individuals, question marks have also been raised about the value which can be gained through non-diabetics monitoring their blood sugar through CGM. While some small studies have found that wearing a CGM can make overweight or obese individuals more motivated to exercise, there is still a lack of conclusive evidence showing that this translates to improved health.
However, independent researchers remain intrigued by the technology, and say that the wealth of data generated through such apps could be used to help further stratify the different types of people who become at risk of developing type 2 diabetes.
“CGM not only enables a longer sampling time for capturing glucose levels, but will also capture lifestyle factors,” says Robert Wagner, a diabetes researcher at University Hospital Düsseldorf. “It is probable that it can be used to identify many clusters of prediabetic metabolism and predict the risk of diabetes and its complications, but maybe also specific cardiometabolic risk constellations. However, we still don’t know which forms of diabetes can be prevented by such approaches and how feasible and long-lasting such self-feedback dietary modifications are.”
Snyder himself has now been wearing a CGM for eight years, and he credits the insights it provides with helping him to manage his own diabetes. “My CGM still gives me novel insights into what foods and behaviors affect my glucose levels,” he says.
He is now looking to run clinical trials with his group at Stanford to see whether following a precision nutrition approach based on CGM and microbiome data, combined with other health information, can be used to reverse signs of pre-diabetes. If it proves successful, January AI may look to incorporate microbiome data in future.
“Ultimately, what I want to do is be able take people’s poop samples, maybe a blood draw, and say, ‘Alright, based on these parameters, this is what I think is going to spike you,’ and then have a CGM to test that out,” he says. “Getting very predictive about this, so right from the get go, you can have people better manage their health and then use the glucose monitor to help follow that.”
Two students had an idea at a scrapyard. They went on to "upcycle" 80,000 airbags, 100,000 seatbelts and 28,000 belt buckles – the equivalent of 60 tons of car trash
Much to their surprise, their classmates responded with so much enthusiasm to their “trash bag” concept that it convinced the two innovators to keep going. Every semester, they improved the prototype further. With the help of YouTube videos, they taught themselves how to sew. Because modern electric sewing machines had a difficult time breaking through the tough nylon of the airbags, Goosses and Widmann went to a second-hand shop and purchased an ancient Singer from 1880 for 10 Euros. They dyed the first airbags in a saucepan in the garden outside of the apartment they shared.
“By the time we graduated, we had a presentable prototype and a business plan,” Goosses says.
Despite their progress, Goosses and Widmann are up against a problem that’s immense: Cars are notoriously difficult to recycle because many parts are considered toxic waste.
It’s an example of “upcycling,” when you spot a potential new use in something that’s been trashed, shelved or otherwise retired. The approach has received increasing attention and support from the U.S. Environmental Protection Agency and others to boost sustainability in all kinds of areas, from fashion (where even luxury brands like Balenciaga or Coach repurpose vintage clothing and bags) to architecture, where reusing wood, steel and bricks significantly reduces a building’s carbon footprint.
In addition to helping the planet, those who do it well can make a living from it. These days, Goosses and Widmann own a flourishing company: Airpaq. A crowdfunding campaign in 2017 yielded 70,000 Euros to get them started. Since then, they have upcycled 80,000 airbags, 100,000 seatbelts and 28,000 belt buckles – the equivalent of 60 tons of car trash.
For the successful upcycling, they received the 2021 German Design Award and, earlier this year, the renowned German Sustainability Award. The jurors evaluating the product commented that the startup “convinced us not only because of their uncompromising quality and functionality but also because of their ecological and ethical values….How well the startup translates upcycling and green fashion into an urban lifestyle brand is impressive.”
Despite their progress, Goosses and Widmann are up against a problem that’s immense: Cars are notoriously difficult to recycle because many parts are considered toxic waste. Therefore, up to 25% of vehicle scraps get shredded every year in Germany alone, the equivalent of over 501,000 tons. Because airbags and seatbelts are nearly indestructible, they are costly to recycle and almost always end up in landfills. Given that airbags and seatbelts save lives, they are subject to stringent security regulations, and manufacturers have a sky-high reject rate. “If a tiny filament protrudes somewhere, the manufacturer will throw out the entire output,” Widmann explains.
The nearly indestructible qualities that make this material very difficult to recycle render it an excellent resource for backpacks. “The material is so durable, you almost cannot tear it,” Goosses adds and demonstrates with a hard tug that even when the material already has a hole, it won’t rip it further. The material is also water repellent and extremely light.
The antique Singer is still in their Cologne headquarters but only as decoration. Their company with 12 employees is producing 500 backpacks and fanny packs every week in Romania, where the parts are professionally cut by laser, dyed and sewed. Airpaq still procures the belt buckles at scrapyards but they get most of the airbags directly from the reject pile of a nearby airbag producer. “We process the materials where they are produced,” Goosses explains. Only about 15 miles lie between one of Europe’s biggest airbag manufacturers and the Airpaq seamsters in Romania.
Co-founders Adrian Goosses and Michael Widmann demonstrate their company's equation: airbag plus seatbelt equals a backpack that's durable and eco-friendly.
Airpaq
The founders are aware that with price tags ranging from 100 to 160 Euro - a cost that reflects their intensive production process - Airpaq’s bags are hardly competitive. After all, anybody can buy a discount backpack for a fraction of the cost. So they recently added fanny packs for 30 Euro to their product line. Goosses and Widmann know they will need to lower their prices in the long run if they want to expand. Among other things, they didn’t pay themselves salaries during the first two years after founding the company.
Money-making isn’t their only objective. “Of course, it would be cheaper if we did what almost all textile producers do and move production to Asia,” Goosses says. That wasn’t an option for him. “Ship trash to Vietnam and let seamsters sew it together for cheap? No way, that would be anything but sustainable,” he says.
Michael Widmann’s family was already operating a textile production in Romania, mainly producing thin, elastic sports fashion. The family allowed Widmann and Goosses to produce their first professional prototypes there, but then the two youngsters had to buy their own machines, acquire the necessary knowhow, and hire their staff. They both moved to Romania for six months “to get to know the people behind the machines.” The founders emphasize that they pay fair wages, use eco-certified dyes and clean their own wastewater. “Normal production uses five to six liters of water per kilo material,” Widmann explains. “We only need a fraction because we massage the dye into the material by hand: 100 ml water for washing and dying per kilo.”
However, every time they return to the scrapyard, the abundance of trash sparks new ideas. “When you see how much material ends up there…” Widmann says, shaking his head without finishing the sentence. Goosses picks up the train of thought: “We want to make upcycling the new standard. You just have to be creative to get upcycling into the mainstream.”
And maybe they’ll return to their roots and finally find an idea for the tires after all. “One could turn the rubber into soles for comfortable shoes,” Widmann thinks out loud.