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So in this lecture, I want to address a mistake that I see from time to time when it comes to this

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section.

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Now, I wouldn't call this a common beginning mistake, since it doesn't seem to be that common so far,

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but it has come up and thus I would like to address it.

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And if you made this mistake, hopefully this lecture helps you.

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OK, so the mistake is that a few students have come to this section thinking that you could use this

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technique on modern encryption methods such as RSA now to think about why this is a mistake.

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You really just have to think logically, if this method were that easy to crack, then we simply wouldn't

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be using it.

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Remember that the whole point of using strong encryption is that it cannot be broken using current technology.

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So if you thought, Hey, I'm going to just sign up for this random course online, that will teach

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me how to break the security that everyone around the world relies on.

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There's probably a big hole in your logical reasoning.

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Now, at this point, you may wonder if this method cannot break modern encryption methods, then what

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is the purpose in learning it?

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And again, it's just one of those things that's obvious if you are a student of the subject and perhaps

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not obvious if you really don't get it.

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It reminds me of students who take my finance courses.

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Often in those courses, you get students who sign up to learn finance and they think, OK, so if I

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take this course, I'm going to get some code and then I'm going to use that code to become a millionaire

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for most reasonable people.

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They realize why this is absurd.

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Many people learn finance whether to become a quants, to develop their own strategies or to simply

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understand how finance works.

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These are realistic goals.

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Reasonable people are able to separate realistic scenarios from unrealistic scenarios.

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And the same goes for this course.

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You have to separate realistic goals from unrealistic goals, realistic goals are learning more about

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NLP, learning more about machine learning, using this section to gain a deeper understanding of language

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models and optimization methods.

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Obviously, these can help you in your career, and these are skills that you can apply in your future

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work.

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People might offer you jobs because you have these skills.

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So in that sense, they can lead to a positive return on your investment.

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These are different from unrealistic goals.

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No, you are not going to crack an encryption algorithm and hack the largest governments and corporations

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around the world.

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It's simply not going to happen.

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So if you were one of those students that made this mistake, then hopefully this lecture helped to

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put you back on the right path.