Self driving cars are not the future, they’re right here right now. They may not ready for all the situations we’d like, but in many ways they are better than humans already. Vastly so.
Humans are far better at scanning and understanding their environment, but cars are better at moving their own bodies than a driver could ever be. While humans have access to many of the car’s systems (turning system, accelerating system, braking system), the self-driving car has access to the totality of them.
This means that a car can control the precise usage of gas at each turn, instantly check if any pieces are broken after a bump, synchronize its headlights with the song that’s playing on its radio and many other feats impossible to the best of drivers.
This may sound high tech, but other pieces of machinery have been doing that for years: planes, for example. Flying is more effective and less dangerous each day that passes because the pilot’s decisions are ever more informed by the myriad of systems constantly probing everything that’s going on.
Yet, it seems like just a few people connected the dots and started to apply this logic to the human body. The wearables may be a decisive first step.
There’s no rocket science here: if you know how many steps you take every day, how many hours you sleep and how many milligrams of calcium your meal provides; your health-related decisions become more informed.
But yet, only the people with the need to check those things constantly would make the decision to wear those tracking devices — it’s not the practical benefit that informs fashion after all. But if your t-shirt can change to any colour and track your breathing patterns, it fits both criteria at the same time.
This, in turn, sparks a hyper-healthy chain reaction.
Companies like xbird are already tracking people’s data with the non-ubiquitous wearables we have available right now. Even with this relatively small amount of data, their software can reliably predict health patterns and have a huge chance to prevent hypoglycemia in diabetes patients. If they had 20% of the population of a country to track, the absurd amount of data this would generate would allow this type of technology to explode in productivity.
Better still: with the spread of wearables as a common fashion choice, many different body conditions could contribute their data to the system, allowing the machine learning to munch all those precious numbers and better understand the criss-crossing of multiple conditions inside a single body. All of that without a syringe. Without a scale.