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Autonomous Cars And Minecraft Have This In Common


From an article by Lance Eliot, the AI Trends Insider (links below)

Minecraft seems to be everywhere. Now over a decade old, the video game has reportedly more than 126 million monthly active players and has sold well beyond 200 million copies of the gaming software. Besides the game itself, there is plenty of merchandise to be had and lots of spin-offs. One somewhat apparent aspect is that it is an exceedingly easy game to get started with. Unlike some online games that require gobs of hours invested before you can readily get underway and be productive in the game, the beauty of Minecraft could be said to be its simplicity at its core. Most people, young and old, can immediately start actively using the game upon the first login.

Some also say that another strong point is that you can take the game as far as you want to go. In other words, those that want to just meander and take a lackadaisical approach can do so, while those that want to push the limits and make this into a nose grinding gut-wrenching “ordeal” (of the fun variety) are equally able to double down on that kind of a sports gaming experience.

You might be surprised to know that there are some interesting parallels between aspects of self-driving cars and the game of Minecraft.

Say what?

Before jumping into the matter and mining for golden nuggets and some precious diamonds, let’s start with some handy background about the nature of self-driving cars.

For my framework about AI autonomous cars, see the link here: https://aitrends.com/ai-insider/framework-ai-self-driving-driverless-cars-big-picture/

Why this is a moonshot effort, see my explanation here: https://aitrends.com/ai-insider/self-driving-car-mother-ai-projects-moonshot/

For more about the levels as a type of Richter scale, see my discussion here: https://aitrends.com/ai-insider/richter-scale-levels-self-driving-cars/

For the argument about bifurcating the levels, see my explanation here: https://aitrends.com/ai-insider/reframing-ai-levels-for-self-driving-cars-bifurcation-of-autonomy/

Understanding The Levels Of Self-Driving Cars

As a clarification, true self-driving cars are ones that the AI drives the car entirely on its own and there isn’t any human assistance during the driving task.

These driverless vehicles are considered a Level 4 and Level 5, while a car that requires a human driver to co-share the driving effort is usually considered at a Level 2 or Level 3. The cars that co-share the driving task are described as being semi-autonomous, and typically contain a variety of automated add-on’s that are referred to as ADAS (Advanced Driver-Assistance Systems).

There is not yet a true self-driving car at Level 5, which we don’t yet even know if this will be possible to achieve, and nor how long it will take to get there.

Meanwhile, the Level 4 efforts are gradually trying to get some traction by undergoing very narrow and selective public roadway trials, though there is controversy over whether this testing should be allowed per se (we are all life-or-death guinea pigs in an experiment taking place on our highways and byways, some contend).

Since semi-autonomous cars require a human driver, the adoption of those types of cars won’t be markedly different from driving conventional vehicles, so there’s

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