This is actually an interesting answer. I am in the process of reading the main book as of now and I can already feel it won’t be enough. I did find out recently about rustlings and that is actually quite nice to have a feel on the language. I do think however more is needed, and as you mentioned, doing small programs should help. Problem is: where to even start? I find incredibly hard to have ideas on things to do on the smaller scale that are good for learning opportunities. Also another thing I am equating to do is to actually just read existing working code of some Foss project. I still didn’t find one that is good to already see patterns and other nuances, but if someone knows that would be very helpful.

I see a lot of people dog pilling on the down votes and getting all rilled up on someone that did try and unfortunately did not make things work. Why? Did is the sort of behavior that drove me away from linux many years ago (I am back with fedora and things work quite better since then). When you are ready to help out and/or be more understandable then things improve. Until then, you are creating moats with people you didn’t even met or understand.

Hey Hoffman, remember the sneezes you had in succession last winter for 2 weeks straight? I asked chatgpt and tells me is brain cancer. Are you going to start cancer therapy ASAP?

PS: for the people that still remember WebMD at the start, they would never trust a machine for full diagnosis, let alone considering this as an option

On situations like this, redirect the people to recent incidents that prove the point. The last typhoon attacks on the USA make super clear on how brittle the network infrastructure can be, but also how insecure some legacy protocols are. EDIT: also the odido data leak on the Netherlands also proves a lot this point as well.

If you happen to want to know more on why, there are 2 podcasts that talk about this on a very regular basis:

• Deep Questions with Cal Newport - super chill guy that every week has an episode on ai reality check. Usually explains quite at length why something is happening on ai why is factual or not
• Better offline - Ed can be quite opinionated and sometimes borderline ranty, but he also tends to breakdown stuff like financial numbers on ai investment and why (or why not) you should break those down.

Well little Timmy, since you were SO thoughtful taking the labels out of the cans, you are going to play canned flood roulette for the next week. This means, for an entire week you pick one can at random for your dinner, and you are not allowed to have another food outside of what the can offers. In the meanwhile, the rest of us will eat your favorite things in front of you, while you are in your sad corner eating your can of food. Me and your mother are going to place bets to see how long your spirit lasts. Let the games begin