HN user
The GPLv2 doesn't prevent a company from distributing binaries and making the source available on request while development is done behind closed doors. This wouldn't really be "open source" as we typically understand it and might be cause to exclude it from some Linux distros, for example. I'm not saying that K1 would do this (I have no idea who they are or what they do), but I also think it's a reasonable risk to consider.
VS is dying
I don't think this is true at all. If anything, it's the opposite, in that MS has greatly improved recent versions of Visual Studio.
VSCode is the future
Maybe for some types of projects, but I have both VS and VS Code on my work machine and hardly ever use VS Code. There's just no comparison when working on .NET projects where VS is the clear winner.
This doesn't seem like a particularly compelling feature to me, but iTerm can do this too (since the person you replied to mentioned iTerm, this seems relevant).
You can also do Ctrl-UpArrow then click the space you want. This isn't instant, but it might be a little better than repeatedly cycling through each desktop, especially if you have a lot of them. Turning off "Automatically rearrange Spaces based on most recent use" is also a must IMO.
Personally, I only open one app per desktop and just use Command-Tab. If you hold Command after Command-Tab, you can select an app with having to cycle through all of them.
I have an Astro site that's mostly static with a couple interactive components. I recently converted the components from React to Lit and the result is so much simpler.
One of the things that was clunky in the React version was the use of setInterval. I had to write a hook in React and it just added this unnecessary layer of weirdness in how it all interacts[1]. In the Lit version, I just use setInterval normally and there's nothing extra to understand.
[1] https://overreacted.io/making-setinterval-declarative-with-r...
If you have Bitwarden installed on an iPhone, you can export directly to Apple Passwords with no intermediate steps or trying to figure out where to save the unencrypted CSV file. I just did this and it looks pretty good so far.
That works when you already have an established connection with someone, but it doesn’t work so well for making new connections.
I’ve deleted all my Meta accounts and other social media accounts and have lost touch with many people and find it much harder to meet new people.
Personally, I accept that tradeoff but can see how others wouldn’t (or can’t).
If I understand correctly, you're saying that leaving trash in Reno is bad, not that that's what people should do? I first read your comment as saying that people should leave their trash in Reno, but a sibling comment makes me think it's the opposite.
I think it's a bit more nuanced than that. As I understand it, happiness increases for most people as their income increases. However, this doesn't mean that a person is happy overall since there are other factors. So, it's not that money can buy happiness in a binary sense, but it's a factor and often a significant one.
The article even ends with this quote from one of the authors of the study (emphasis added):
“Money is not the secret to happiness, but it can probably help a bit.”
I'd suggest you dig a little deeper into American history. For example, "America First" isn't a new slogan. It's been used in its current sense for at least a century. Murdoch via Roger Ailes poured oil on the fire, but that was only possible because the sentiment already existed here and always has.
This might be true for libraries or utilities that have a well-defined scope and no dependencies, but that's not what the article is focused on. When considering a company's main product, it's usually never done and patterns of activity—and especially changes in those patterns—can give you insight into potential issues.
Good tools can improve your workflow for sure, but it's easy enough to keep a clean history with a handful of git commands. There are two main reasons people don't do so: 1. they don't know the commands yet or 2. they just don't care (and are in an environment where there's no incentive to care).
The kind of person who would try a tool like Magit and use it to discover git would have found a different route if Magit didn't exist. The type of person who doesn't care isn't going to learn something just because a tool is available.
This doesn't sound right. PyPy has always been described as an alternative implementation of Python that could in some cases be a drop-in replacement for CPython (AKA standard Python) that could speed up production workloads. Underneath that is the RPython toolchain, but that's not what most people are talking about when they talk about PyPy.
The point of the video is to highlight how the inundation of AI-generated pull requests is harming open source. It doesn't say anything about AI success/failure rates, and it wouldn't make sense for it to go into details about that. However, it does mention that LLMs are useful for some things.
Surely you'll be able to tell who's YOLOing commits without allowing junk into your repo that you'll have to clean up (and it almost certainly be you doing it, not that other person).
DS_Store files are just annoying, but I've seen whole bin and obj directories, various IDE directories, and all kinds of other stuff committed by people who only know git basics. I've spent way more effort over time cleaning up than I have on adding a comprehensive gitignore file.
It takes practically no effort to include common exclude patterns and avoid all that. Personally, I just grab a gitignore file from GitHub and make a few tweaks here and there:
Looks neat. Assuming the site is built using the framework, I ran a couple of the component pages (e.g., accordion) through Lighthouse and there are a number of accessibility issues. Just a heads up.
True, but the point could have been made in a more tactful way, and it didn't add anything useful to the discussion anyway.
Now that he's no longer with us, I don't think comments like this are necessary.
now that Windows mostly stopped resisting the inevitable
I've been trying to get Visual Studio to stop mucking with line endings and encodings for years. I've searched and set all the relevant settings I could find, including using a .editorconfig file, but it refuses to be consistent. Someone please tell me I'm wrong and there's a way to force LF and UTF-8 no-BOM for all files all the time. I can't believe how much time I waste on this, mainly so diffs are clean.
I mostly use IDEs for day to day coding, and pretty much every IDE supports vim keybindings, which I always have enabled. I also use vim in the terminal for small edits and one-off files, so it's not either/or.
After the initial learning curve and fiddling with settings, it just becomes natural and you can edit code or other text at blazing fast speeds. I also find that it helps with RSI by reducing arm motions reaching for the mouse.
Of course, there are other good options out there, but if vim fits your brain, it can significantly boost your editing speed. For those who say programmers don't spend that much time typing, that's true sometimes, but there are periods after the design/planning phase where we type a lot, and I want that to go as fast as possible while I have an implementation loaded into short term memory.
As someone who used to be a vim skeptic myself, I'd suggest you either give it another look or just accept that it works well for other people and go on with your day.
Thanks. I came up with this Python simulation that matches your 68%:
import random
def lying_flippers(num_flips=1_000_000):
"""
- Bob flips a coin and tells Alice the result but lies 20% of the
time.
- Alice tells me Bob's result but also lies 20% of the time.
- If I trust Bob, I know I'll be correct 80% of the time.
- If I trust Alice, how often will I be correct (assuming I don't
know Bob's result)?
"""
# Invert flip 20% of the time.
def maybe_flip_flip(flip: bool):
if random.random() < 0.2:
return not flip
return flip
def sum_correct(actual, altered):
return sum(1 if a == b else 0 for (b, a) in zip(actual, altered))
half_num_flips = num_flips // 2
twenty_percent = int(num_flips * 0.2)
actual_flips = [random.choice((True, False)) for _ in range(num_flips)]
num_heads = sum(actual_flips)
num_tails = num_flips - num_heads
print(f"Heads = {num_heads} Tails = {num_tails}")
bob_flips = [maybe_flip_flip(flip) for flip in actual_flips]
alice_flips = [maybe_flip_flip(flip) for flip in bob_flips]
bob_num_correct = sum_correct(actual_flips, bob_flips)
bob_percent_correct = bob_num_correct / num_flips
alice_num_correct = sum_correct(actual_flips, alice_flips)
alice_percent_correct = alice_num_correct / num_flips
# Trusting Bob should lead to being correct ~80% of the time.
# This is just a verification of the model since we already know the answer.
print(f"Trust Bob -> {bob_percent_correct:.1%}")
# Trusting Alice should lead to being correct ?% of the time.
# This model produces 68%.
print(f"Trust Alice -> {alice_percent_correct:.1%}")
print()The issue isn't intelligence per se. It's ignorance (often willful ignorance), dogmatism, media illiteracy, political illiteracy, etc. There are many intelligent (but evil) people in the Trump administration and not every Trump voter is a dunce. Framing them all as stupid isn't useful, because it doesn't help us understand and counteract what's happening.
I agree that Obama wasn't as great as a lot of people make him out to be, but what does that have to do with the current situation?
What happens if Bob lies to Alice 20% of the time and Alice lies to me 20% of the time but I only get input from Alice?
How it is "luxury" to want to address large scale crimes such as wage theft, price collusion, corruption, unequal access, and institutional racism/classism that are major underlying factors in street crime, including the lack of enforcement you mention here? From a nerd perspective, it's seems obvious that addressing underlying causes is beneficial to all of us. In fact, it seems likely that it's the only thing that will work in the long run. Policing might also be necessary in some cases, but it's not going to fix our long-standing social issues.
I agree we need to separate these responsibilities, but when it comes to mental health response, the police themselves are often opposed to alternatives, even while they complain that they're not mental health providers and often can't do anything in those types of situations.
In my city, we've had an underfunded street response program for a few years now, but a lot of people (including a lot of people who don't live here) see it as antagonistic to police and police funding, when really it should just be part of a holistic system to address social issues.
It makes no sense to me that the people who ostensibly care the most about addressing crime and "disorder" on the streets are often the most oppositional to programs that might actually address some of the underlying issues (not all of course, but some).
The call to logging.basicConfig happens at import time, which could cause issues in certain scenarios. For a one-off script, it's probably fine, but for a production app, you'd probably want to set up logging during app startup from whatever your main entry point is.
The Python standard library has a configparser module, which should be used instead of custom code. It's safer and easier than manual parsing. The standard library also has a tomllib module, which would be an even better option IMO.
I've been writing client-side JS/TS for many years and still enjoy it, but there are scenarios—quite a few in my opinion—where targeting WASM is a better technical and business choice. It's just a "right tool for the job" kind of thing.
In its heyday, before the most recent acquisition, Twitter was really good for local info (ignoring celebrities, shitposting, and the like). Not just news but announcements, alerts, and other local stuff if you followed the right accounts.
Mastodon is cool, but it's hard to consistently find that local info. Bluesky seems like it has a chance of supplanting Twitter in this way, but it's not there yet. Some of the accounts I used to follow on Twitter are on Bluesky, but they don't post. If they started, I think they'd get tons of followers now.
I used to see a lot of furry accounts in the Discover feed, but I mute them when I see them, and now I rarely see them any more. I don't have anything against furries, but it's not content I'm interested in. This is more a comment that Bluesky does seem to have an algorithm (at least in the Discover feed) that is sensitive to what you do or don't show interest in. Or it could just be that a lot more people have joined recently, so the furry stuff just isn't as prevalent.