I've got loads of Notepad++ tabs open for various things. No concerns about having to save them as they auto save, and they persist if the system reboots for whatever reason. Other than that, I just use indentation to organize related items.
Readit News4star3star commented on I tried every todo app and ended up with a .txt file al3rez.com/todo-txt-journ... · Posted by u/al3rez
4star3star commented on Compression culture is making you stupid and uninteresting maalvika.substack.com/p/c... · Posted by u/kjhughes
The writing felt like it was deliberately long-winded as though being so would complement the point it was trying to make. IMO, the author did not make a compelling case that their wordiness was worth the time spent reading it.
4star3star commented on LLM Inevitabilism tomrenner.com/posts/llm-i... · Posted by u/SwoopsFromAbove
The IT industry is also full of salesmen and con men, both enjoy unrealistic exaggeration. Your statements would not be out of place 20 years ago when the iPhone dropped. Your statements would not be out of place 3 years ago before every NFT went to 0. LLMs could hit an unsolvably hard wall next year and settle into a niche of utility. AI could solve a lengthy list of outstanding architectural and technical problems and go full AGI next year.
If we're talking about changing the industry, we should see some clear evidence of that. But despite extensive searching myself and after asking many proponents (feel free to jump in here), I can't find a single open source codebase, actively used in production, and primarily maintained and developed with AI. If this is so foundationally groundbreaking, that should be a clear signal. Personally, I would expect to see an explosion of this even if the hype is taken extremely conservatively. But I can't even track down a few solid examples. So far my searching only reveals one-off pull requests that had to be laboriously massaged into acceptability.
At the heart of it all is language. Logic gates to assembly to high level programming languages are a progression of turning human language into computed processes. LLMs need to be tuned to recognize ambiguity of intention in human language instructions, following up with clarifying questions. Perhaps quantum computing will facilitate the process, the AI holding many fuzzy possibilities simultaneously, seeking to "collapse" them into discrete pathways by asking for more input from a human.
4star3star commented on High tariffs become 'real' with our first $36K bill blog.adafruit.com/2025/05... · Posted by u/ptorrone
> products we couldn’t manufacture ourselves even if we wanted to, since the vendor has well-deserved IP protections
Tariffs are working as intended: if somebody can manufacture similar things here they will be in advantage.
This isn’t an endorsement of tariffs, just an observation: their goal is to give domestic manufacturers an edge when similar goods can be made locally. In that sense, they’re functioning exactly as intended.
It would make a lot more sense to boil the frog over a long period of time with steady, scheduled increases in tariffs instead of pouring scalding water on everyone's heads all at once. Even with plenty of capital and willpower and know how, it takes plenty of time for industry to be built out. Under ideal conditions, even, these tariffs are harmful (and we don't have ideal conditions).
> One might argue that "y'all" borders on a second person plural inclusive of the speaker
So a first person plural?
I knew I explained that poorly. What I mean is that, in comparing "y'all" to "all y'all", a simple "y'all" is "you guys (and maybe me)" while "all y'all" is "you guys and not me".
Grammatical constructs can have a lot of variation between languages, and there are certainly nuances that can't be expressed in English the same way that it can be in other languages. One thing we lack is a nuanced sense of past, while other languages have baked in ways to express recent past or distant past (e.g. Bantu languages).
My proposed interpretation regarding "all y'all" is not academic, just a native feel, and I'm sure other native speakers could disagree.
"y'all'd've"
"y'all'dn't've"
Some sets have a canonical partition. If you're referring to a set of birds or a set of fish, then the correct usage is y'all because those sets canonically partition into themselves.
But if you're referring to a set of birds and fish together, then the usage is "all y'all" because the canonical partition yields more than one subset (one containing birds, and one containing fish). The distinction helps differentiate between whether you mean the superset or one of those subsets.
It works with any other partition which might be obvious (not just birds and fish). If you have two families together, you might avoid "see y'all later" because it could be interpreted that you only expect to see one family later. "see all y'all later", by contrast is unabiguous--you mean both families.
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Did I get it right? Am I a true Texan?
Having never given much thought to it, your analysis rings true to my native Texan ears.
There's another usage that comes to mind, though. One might argue that "y'all" borders on a second person plural inclusive of the speaker whereas "all y'all" marks a distinction between the speaker and the others. For instance, a peeved person would be more likely to say, "All y'all can kiss my ass," as opposed to, "Y'all can kiss my ass." "Y'all" by itself is more friendly and self-inclusive than "all y'all", which carries an inherent otherness to it.
Self-healing system: increase cluster size and replace servers randomly. It works because it was a problem of threads occasionally entering an infinite loop but not corrupting data. And the whole system can tolerate these kind of whole server crashes. IMHO an unusual combination of preconditions.
It's not explained why they couldn't write a monitor script instead to find servers having the issue and only killing those.
I think they just needed a quick and dirty solution that was good enough for a few days. They figured that for 1% failure per hour, they needed to kill x processes every y minutes to keep ahead of the failures. I'm sure it would be much more efficient but also more complicated to try to target the specific failures, and the "good enough" solution was acceptable.
Title is grossly misleading.
That Netflix had already built a self-healing system means they were able to handle a memory leak by killing random servers faster than memory was leaking.
This post isn't about how they've managed that, it's just showing off that their existing system is robust enough that you can do hacks like this to it.
Your take is much different than mine. The issue was a practical one of sparing people from working too much over one weekend since the bug would have to wait until Monday, and the author willingly described the solution as the worst.
4star3star commented on The 1600s were a watershed for swear words (2022) historytoday.com/archive/... · Posted by u/pepys
Fully agree. As a non-native English speaker, I always thought English doesn't have "real" curse words, and the only actual (taboo) curse words I know are so-called "n-word" and similar.
It's hard for me to explain the difference, but (as an educated and relatively eloquent person) I would really hesitate (as in, physically struggle with my throat) to curse in my language aloud in a public place. Saying them among my friends or family would be seen as between mildly offensive and absolutely unacceptable. When hearing someone curse in public, I instinctively assume they're uneducated or intoxicated.
Meanwhile, i can freely swear in English among the same people (and online, and in most situations abroad). My mother, who I have never heard curse in my language, says "shit" like it was "oh darn". I see English swear words everywhere online. They really don't feel like a taboo to me.
I would say it's totally normal for a 2nd language's swear words to have much less impact on one's psyche than one's maternal language.