In the previous cryptocurrency video I mentioned this situation twice In tell to break a security system, You have to guess a 256 chip string accurately, The first time it was mentioned in the electronic signature segment. The second time was mentioned in the section on password hash parts. For precedent, if you want to find a sense, Let its SHA2 56 hash evaluate be equal to a certain 256 part string. Then there is no other good way. You is impossible to guess haphazardly and check the result On average. This requires 2 256 endeavors. This crowd is much larger than what we generally encounter, So it s hard to appreciate its scale, But we might as well give it a try. 2 256 is 2 32 multiplied by itself 8 durations. The advantage of reviewing this behavior is that 2 32 is about 4 billion. We can at least imagine this numeral It s the kind of numbers that appear in news headlines. So what we have to do Is to experience the concept of multiplying 4 billion 8 times in a row. Most people know The GPU in the computer can quickly perform a large number of parallel estimations. So if you solely cause the GPU calculate the password hash office repeatedly, A GPU with good operation may be able to calculate close to 1 billion hashes per second. If you take a bunch of such GPUs Stuff it all into the computer, Let your computer calculate 4 billion hashes per second, Then. The initial 4 billion represents The number of hash values calculated by each computer per second. Imagine: 4 billion computers full of GPUs like this. For purposes of comparison, although Google has not announced the number of their servers, But some thinks say there are several million In world, the computing ability of most of their servers, Not as good as our computers full of GPUs. But cause s are of the view that Google ousts millions of servers with such computers. Then 4 billion computers are about 1 000. Such a bloody-minded Google. Let’s request this computing power Thousand Googles. The macrocosm s population is approximately 7 3 billion. Next. We assume that more than half of the person or persons have their own thousand Google, Then imagine 4 billion such planets. For purposes of comparison, there are about 100 to 400 billion aces in the Milky Way, Although we are not sure the estimate is roughly in this range, So this is equivalent to 1 of the stars in the Milky Way will have an Earth And half of the population. On this planet has its own thousand Googles, Then imagine 4 billion such galaxies. We call it billions of galaxy, supercomputers Can guess 2 160 days per second 4 billion seconds is about 126 8 years 4 billion times it is 507 billion years, Almost 37 goes the age of the universe. So, even if you have Full of GPUs thousands of Googles planets, hundreds of millions of galaxy computers Keep predicting the time of 37 terms the age of the universe. There existed one in 4 billion probability to get the correct guess By the practice the current hash power of Bitcoin Add up. All the miners Can predict and check 50 billion hashes per second. This is equivalent to one third of the thousand Googles I mentioned earlier. This is not because there are really billions of computers with full GPUs It s, because the miners use machines that are about 1 000 terms better than GPUs Called Application. Specific Integrated Circuit ASIC. These hardware are tailor spawned for Bitcoin mining, Otherwise it will calculate the SHA2 56 hash quality. I wanted to greatly increase efficiency. We can give up general compute needs And to design integrated circuits for a single task. There is another topic that I find a little difficult to turn around when it comes to the power of two. The number of dues to this Youtube channel recently surpassed 2 18. In order to better interact with some of these 2 18 parties, I am going to start a question and answer act. I will announce the Reddit link to the video introduction. You can ask questions or put on the top of the question you want to know. The refute, Maybe in the next video or Twitter, or something I will announce the form of answering questions, see you then.
