Ikr, it's almost been 2 years

Hey everyone, CS major over here!

@@snorman1911 Hey CS major, everyone over here!

@@soksamnang2150 lmao ur pfp. No smiley :(

I'm do not a CS but I'm software engineer :(

Counter strike major is crazy

Gonna do that module this semester

It will be cool to connect and share info on the topics :) what platforms if any do you use to share info besides UKposts ? I am new to the cs so I will love to learn from anyone in this field before me :)

I got irrationally angry at how he called the binary and assembly different languages. They actually are, i was thinking of machine code when i commented

Bro I need to make cpu iceberg video

Would assembly Language be a core of creating our own language, like my own language in computer science

No this video is pretty ignorant

@@moioyoyo848 care to explain how it’s ignorant?

@@bri-et1sd he ignored most importants parts of pc and he doesnt know enough

@@moioyoyo848 bad day? He clearly knows what he’s talking about (or at least has done a lot of research). And obviously this isn’t meant to be a complete guide to comprehending computers in the 21st century lmao...

@@SilverTheFlame does your parents know you are not on youtube kids?

This information was insanely valuable, and delivered at exactly the right time in my dev-life. Thanks a heap.

I don't know what you are talking about (and I am a full-time developer btw). Hashing algorithms are designed to be computationally inexpensive one way and super computationally expensive the other way. Meaning if you calculate the hash of say a document, and then you change a single bit anywhere in the document, then compare both the hashes, they are going to be vastly different. That means finding two documents with the exact same hash code is statistically impossible. With SHA-256 you get a possible 2^256 number of hashes to describe a file. So, if you just have a hash code and you want to find out the original contents of the file, it is impossible to do so because there is not only not enough information but also the total possibility is so high. That's about it. That's why hash codes are used to verify the integrity of files in servers and for making sure that the password is verified. Servers almost always store salted hash codes to verify, never the original password. Whatever other hash functions you described might be 'designed to be slow' or whatever, but SHA-256 (and SHA-512) is the industry standard and there is no reason why you need to use some other function/algorithm. If you are using hashing algorithms which are slower but offer nothing in return, you probably don't even know why hash codes are being used in the first place.

@@SahilP2648 you are correct that SHA is extremely fast to compute and infeasible to reverse. It is for this exact reason that attackers make no attempt to reverse hashes. Instead, they will often use rainbow tables or they will outright brute force inputs until they find a matching output. This is why slow algorithms are typically considered better for password hashing. An attacker can not compute anywhere near as many hashes in the same amount of time, meaning it will take them significantly longer to find an input that matches a hash in the database. As for industry standards, slow algorithms like bcrypt have been the standard choice for years now. For example, websites like dropbox, facebook, github, reddit, twitter, and yahoo are all using slow hashing algorithms like bcrypt and scrypt. Additionally, the most of these algorithms salt by default and have adjustable work factors so you can continue to make your hashes take a long time even as computational power increases. Here's some good resources: Key stretching - en.m.wikipedia.org/wiki/Key_stretching Owasp - cheatsheetseries.owasp.org/cheatsheets/Password_Storage_Cheat_Sheet.html List of which hashing algorithms specific websites use: pulse.michalspacek.cz/passwords/storages

Wow very helpful comment

WHAT I just realized that

Now at 60k views

Yeah this video is a gem

same

There was no part 2 😢

Or if you are Cloudflare, a wall full of lava lamps 🤷🏻‍♂️🤣

@@TheBeanhacker Beat me by 40 minutes, just wanted to comment this😂

That's incorrect. Could you point me towards a single standard library that does any of that to seed its randomness?

Hm, i am not sure thats correct. Even Wikipedia has CS as a broad definition: "Computer science is the study of computation, automation, and information. Computer science spans theoretical disciplines (such as algorithms, theory of computation, and information theory) to practical disciplines (including the design and implementation of hardware and software)." Although it also quickly states that "Algorithms and data structures are central to computer science." So yes, while in an academic sense, your definition is the commonly used one. But I guess it also depends on the university. Some do offer more specialized fields, like more hardware near programming, medicine or game development.