Daily Archives: February 24, 2015

Eat All You Want and Never Gain a Pound

hamburger with fries and onion ringsOne of the most important applications of full-immersion virtual reality will be virtual eating. Like sex, eating is a pleasurable activity that can be disentangled from its risks and downsides in a virtual environment.

If people could virtually eat any and everything they want, any time, and the physical experience was identical to the real experience of eating — including feelings of fullness and satiety — it would make it much easier for people to eat healthily and moderately when really eating.

But the experience will have to be convincing. The technology to allow for such an experience is still some ways off. Currently the cutting edge of virtual reality has to do with creating an immersive visual and aural experience. That’s great, but it is no substitute for eating…

Existing VR interfaces stimulating the sense of touch are still fairly crude. And if there is any progress being made on VR taste and smell experiences, I haven’t heard about it. Eating will have to provide a highly refined synthesis of all three senses — plus vision and hearing for good measure. Such an interface is more likely to feed directly into the brain than into our various sensory organs.

 

The possibility of unlimited eating may prove to be one of the prime motivators for developing such technology, which may (paradoxically) lead to a big reduction in overeating. In fact, full-immersion virtual eating may lead to the end of overeating altogether.

Wealth Robots

Online Banking SystemsHumans and their machines are doing a fantastic job of making humanity as a whole wealthier through independent initiatives. But what if we deployed, within certain parameters (e.g., concern for the environment), machines focused on a single task: increasing the material well-being of all human beings?

Arguably, the arms race between intelligent trading systems is working on a goal similar to this, although those bots are concerned only with enriching their makers — not everybody.

 

Or go back a step: what if we deployed machines working on creating recursively smarter machines focused on the task of making us all wealthier? Machines can only tell us what they think we should do. They can’t force us. But then, machines who can make us rich could make a pretty good case that they should be in charge.