So now you see how efficient this machine is. But let’s not overlook the disadvantages it is having. Turing completeness is good for solving the problems that seem definable. These problems are pre-clarified and known steps needed to result in the desired outcome, as for an example, 4 + 4. But in terms of problems that are not clarified, there it becomes a bit complicated. A machine different from Turing completeness won’t be able to solve the problem, but a Turing completeness machine will somehow show some breaking, though not adhering to knowing steps, it will be difficult for anyone to track the cleverness the machine proceeds to give a try and find the solution of the problem, assigned for it. It would be like a handing car key to an unskilled person, who has never sat in the car before. In that way, the Turing completeness machine will face the same theoretical problems to AI.
Face-Off Between Bitcoin And Ethereum
Now there is once again faceoff between Bitcoin and Ethereum regarding Turing completeness. If you follow the latest news on Ethereum, then you will come to know that Ethereum fits the bill with Turing completeness, and was even advertised a lot. But the same was not the case with Bitcoin. Now don’t take it in the sense of functioning between these two cryptocurrencies. It is rather motive or choice, by which Bitcoin does not find it necessary to be Turing complete. Ethereum on the other side is capable of grasping contracts, analyze them, and then codify them to enable completion of actions upon the contract or steps to be fulfilled.