Do you… hate yourself? Or is this the 3rd best guest mug?

Update: I had eggs again today, and I am glad to announce that I went 3/3 eggs into the bowl.

I cracked my egg into the sink, and put the shell into the bowl

Idk which “all consoles” you’re talking about, but fwiw I worked as a dev at Sony during the PS5 launch, and for the disk version, it was a heavy priority that the barebones “put in a disk and play a game” use-case should work from day 1 offline forever.

“Trains don’t float, IDIOT”

• Greg, probably

Torterra is a tortoise. Totally different thing.

You can always use your own code however you want. However, if your project starts to get contributions from other people, that’s where it can start to become more muddy.

So this is *mathematically correct, but practically not really. Let me give you a longer (but still simplified) answer. There’s essentially two things here that are different:

1. Does a longer password make your password more difficult to guess? (always yes)
2. Does a longer password make accessing the content it protects more difficult (yes, to a certain point).

The reason for #2 in digital systems is because of hashing, which is used to protect your password in the case of a data breach. Essentially, you can think of a hashing algorithm as a one-way algorithm that takes an input, and then always returns the same output for that input. One-way here means that you can’t use the hashed output to reverse-engineer the originally inputted password (you can’t unhash a hashbrown into the original potato 🥔). This is why if someone hacks Facebook, they don’t necessarily have your Facebook password; Facebook never saves your actual password anywhere. To login, the website hashes your password input, and compares it against the hash that they saved from your original password creation.

Usually, the result of these algorithms is saved as a fixed-length string of characters. And so your data is mathematically not more safe if you exceed this length, since a random password combination can theoretically resolve to the same value as your super-long-password. This would depend on the algorithm being used / data being stored, but for example, bcrypt outputs a 184-bit hash (often represented as a 60-character string). So mathematically, your password is not more secure beyond 60 characters.

However in practice, this is a non-issue, because I think that basically the only way that collisions like this are useful are for brute-forcing a password? And the chance of a password collision in this way is something like 10^27-or-28 (being hit by lightning every day for 10,000 years)? The much easier solution for gaining access is to get your actual password. So if your password being longer makes it harder for people to guess, I’d say that adding security by way of #1 is still extremely valid.

tbf, I don’t know how feasible it is to remove asbestos without employing 4 year olds.

I would say deep thinking work, I average around 3-4 hours, but range between 0-8 hours. Like if I really feel in zone, it’s easy to go hard, but if I didn’t sleep well, or had too much caffeine, or didn’t eat enough, it’s just joever. I think months of grinding is possible with the right motivation, but I find that trying to force that motivation is pretty hard; I think that’s often more environment-based, rather than solely individual effort (ala being in a class of very motivated individuals)

The important part for me is trying to start every day (or whatever your schedule is), because it can be hard to know how well I’ll concentrate until I try for 30 minutes or so. And consistency over a long period of time is key.

edit: oh, fwiw, specifically for Chinese, I have been building this recently… although it’s not done yet. https://hanzi.bpev.me/

Or Majora’s Mask but with wave dashing

Yeah if there’s no anti-venom, this does seem like the kind of fight where just everybody dies.

ngl tbh I think that was my favorite FE game, so I’m glad if they make it easier for people to play

Mmm it sounds like you’re using it in a very different way to me; by the time I’m using an LLM, I generally have way more than a general feel for what I’m looking for. People rag on ai for being a “fancy autocomplete”, but that’s literally what I like to use it for. I’ll feed it a detailed spec for what I need, give it a skeleton function with type definitions, and tell the ai to fill it in. It generally fills in basic functions pretty well with that level of definition (ymmv depending on the scope of the function).

This lets me focus more on the code design/structure and validation, while the ai handles a decent amount of grunt work. And if it does a bad job, I would have written the spec and skeleton anyways, so it’s more like bonus if it works. It’s also very good at imitation, so it can help to avoid double-work with similar functionalities.

Kind of shortened/naive example of how I use:

/* Example of another db update function within the app */
/* UnifiedEventUpdate and UnifiedEvent type definitions */

Help me fill in this function

/// Updates event properties, and children:
///   - If `event.updated` is newer than existing, update as normal
///   - If `event.updated` is older than existing, error
///   - If no `event.updated` is provided, assume updated to be now()
/// For updating Content(s):
///   - If `content.id` exists, update the existing content
///   - If `content.id` does not exist, create a new content
///   - If an existing content isn't present, delete the content
pub fn update_event(
    conn: &mut Conn,
    event: UnifiedEventUpdate,
) -> Result<UnifiedEvent, Error> {

100%. As a solo dev who used to work corporate, I compare it to having a jr engineer who completes every task instantly. If you give it something well-documented and not too complex, it’ll be perfect. If you give it something more complex or newer tech, it could work, but may have some mistakes or unadvised shortcuts.

I’ve also found it pretty good for when a dependency I’m evaluating has shit documentation. Not always correct, but sometimes it’ll spit out some apis I didn’t notice.

Edit: Oh also I should mention, I’ve found TDD is pretty good with ai. Since I’m building the tests anyways, it can often give the ai a good description of what you’re looking for, and save some time.

fyi you can also purchase music from the qobuz website, and they let you stream/download purchased music from their app without a subscription. So if you only want to support certain artists, that could be a way? I think they don’t have as much niche content as bandcamp, though; the way they populate their content is much more akin to the other mainstream streaming services, so it’s not quite as easy/direct for artists to add content.

My only thing I know about Salon is that at one point, they had a piece about how depressing it was to live in a hacker house, and I was like “wait. I lived in this exact apartment”. I remembered the Pinterest guy who lived in the closet. That was slightly surreal.

Anyone got store recs for non-english books? Or that mostly just gonna vary a ton by language?

Yupyup I understand that feeling for sure. I have the same nitpick problem. Just figured I’d mention this one because it’s the least dongly feeling dongle that I’ve tried by a large margin, and so has become the only one I’ve actually continued using.

fwiw, I found the form factor of this dac to be much more enjoyable than the pigtail adapters, because it feels more like “part of the headphone cable”: https://www.ddhifi.com/en/product-review/11321/

I’ve found that for me, the most “prone to damage” part for usb-c audio is just the usb-c connection… so idk how much a usb-c headset improves over an adapter… I just want them to add back headphone jacks. 😭