Its a tough problem. You have to find something that you want to exist; like an app or a website or a game. For example, try making a GUI for managing SSH keys. You know, like the ones github makes you create in order to clone and push to a repo. Make a visual representation of those keys (stored in the .ssh folder), and tools to add/delete them.

Along the way you’ll find tons of missing things, tools that should exist but don’t. Those are the “real” projects that will really expand your capabilities as a developer.

For example, I was coding in python and wanted to make a function that caches the output because the code was inherently slow.

• but to cache an output we need to know the inputs are the same
• hashes are good for this but lists can’t be hashed with the built-in python hash function
• we can make our own hash, but hashing a list that contains itself is hard
• there is a solution for lists, but then hashing a set that contains itself is a serious problem (MUCH harder than hashing a list)
• turns out hashing a set is the same problem as the graph-coloring problem (graph isomorphism)
• suddenly I have a really deep understanding of recursive data structures all because I wanted to a function that caches its output.

0

Labeling datasets is costly process. When you dont opt out, you’re letting them build a labelled dataset on you-specifically for free.

Same for me: just say no, and they say OK. Effortless but the option is totally invisible.

The irony is, I’ve seen the staff stop using the face scanner for everyone halfway through the line to speed things up. So its not saving time, just costing money to increase surveillance.

Ignore the name (neural networks might as well be a footnote). A more appropriate title would be “generic problems and algorithms”.

(Artificial Intelligence: A modern approach by Russell and Norvig)

https://github.com/Youquan1/Artificial-intelligence-books/blob/master/Artificial Intelligence A Modern Approach - Stuart J. Russell %2C Peter Norvig.pdf

I agree, and here’s a few different avenues of examples:

1. If trying to get past interviews, Leet code and hacker rank can be great. They’re not so great for real world problems, but not bad.

2. Advent of code is a good middle ground between theory and practice in my opinion.

3. To really learn real world problem solving, I’d recommend implement a specification, without looking at existing implementations. For example, make a basic regex engine (formal Regular Expressions not PCRE expressions), or try to implement the C Preprocessor, or the JS event loop.

“Algorithms to live by” https://www.amazon.com/Algorithms-Live-Computer-Science-Decisions/dp/1627790365

Less technical than you probably want, but it is useful for mapping real world problems to known algorithms.

No

Yeah, cookies, account logins, and other stuff make it hard too. Ex: randomly exploring gmail emails at different times of day, but not actually marking emails as read.

Psychology. Ever see ring doorbell footage where the owner says “drop the package” and people do? Its not like the owner could do anything, but for some reason it makes people behave differently.

No

Here’s a very similar question I asked here a few months ago: “Privacy respecting ring doorbell” https://lemm.ee/post/8165932

The clients are source available for telegram though

I mean technically the client is verifiable if you use discord in a browser tab… and verify it every time you load the web page… 🙃

Elon can’t even save twitter. What makes you think he is single-handedly capable of ending world hunger.

Hmm, so we could say the real problem is when someone has wealth disproportionately larger than what they contributed to the world?

That makes sense to me

Is this true even if a person on an island spends their whole life building a wooden mega yacht for themself?

I didnt upvote the other python-beginer friendly meme cause it wasn’t accurate. But this one is on point.

Celebrities are going to be shocked when they hear about email

Partially buried housing (ground cooling effect)