Is it more for situations that need to be compatible with most *nix systems and you might not necessarily have access to a higher level scripting language?

Yes, and also because integrating Python one-liners into shell pipelines is awkward in general. I’m more likely to write my entire script in Python than to use it just for text processing, and a lot of the time that’s just a pain. Python isn’t really designed for one-liners or for use as a shell. You can twist it into working in those use cases, but then I’d ask the reverse question: why would you do that when you could “just” use awk?

On macOS, Python is not installed by default. So if you are writing scripts that you want to be portable across platforms, or for general Mac administration, using Python is a burden.

This is also true when working with some embedded devices. IIRC I can ssh into my router and use awk (thanks to it being included in Busybox), but I’m definitely not going to install an entire Python environment there. I’m not sure there’d even be enough storage space for that.

Thanks for the link. I’m not up on the latest in anarchist philosophy. The last meaningful work I read on the topic was probably In Defense of Anarchism by Robert Paul Wolff.

After working for many years in a “fast pace environment” I can’t help but notice that I have increasing difficulties to do simple tasks.

How many years are we talking?

A lot of what you describe sounds like you’re starting to have “senior moments”. If you’re past 50, that’s pretty normal. Which is not to say it’s good. “Normal” does not mean good. It just means common. I don’t think you should look for anything exotic if the mundane explanation fits your observations.

Low-tech suggestion: Keep a notepad in your pocket. Make to-do lists. Cross items off it when you’re done. Maybe put the time in when you cross it off.

• Put water on stove
• Turn off stove
• Make tea
• Drink tea

The perverse ideas that money is speech and corporations are people can make a lot of simple common-sense statements suddenly completely insane.

I support free speech. Money is not speech.

I support personal freedom. Corporations are not people.

he viewed other libertarians as having the same level of honest compassion as he does but over time it’s become more and more clear that libertarians are overwhelmingly selfish rich white guys who don’t want to be called Repuiblicans

I had a similar progression myself when I was in my teens, maybe even early 20s.

The basic principle of libertarianism is appealing: mind your own damn business and I’ll mind mine. And I still agree with that in general — it’s just that a single generality does not make a complete worldview. It took me a while to realize how common it is for self-identifying libertarians to lack any capacity for nuance. The natural extreme of “libertarianism” is just anarchy and feudalism.

In a sane world, I might still call myself a libertarian. In a sane world, that might mean letting people live their own damn lives, not throwing them to the wolves (or more literally, bears ) and dismantling the government entirely.

I’m all for minding my own business, but I also acknowledge that maintaining a functional society is everybody’s business (as much as I occasionally wish I could opt out and go live in a cave).

The Hyperlegible web site makes no mention of dyslexia, only visual impairment. Those are two totally different issues.

I’ve never replaced a watch (smart or otherwise) in less than 5 years.

Wat.

How’s navigation with Pebbles? If I start bike navigation in Google Maps on my phone, can I get turn-by-turn directions on the watch, and does it not suck?

According to the Programme for the International Assessment of Adult Competencies, 2013, the median score for the US was “level 2”. 3.9% scored below level 1, and 4.2% were “non-starters”, unable to complete the questionnaire.

For context, here is the difference between level 2 and level 3, from https://en.wikipedia.org/wiki/Programme_for_the_International_Assessment_of_Adult_Competencies#Competence_groups :

• Level 2: (226 points) can integrate two or more pieces of information based on criteria, compare and contrast or reason about information and make low-level inferences
• Level 3: (276 points) can understand and respond appropriately to dense or lengthy texts, including continuous, non-continuous, mixed, or multiple pages.

Geany is a nice GUI option. It’s a bit more capable but still lean.

It’s probably time for me to re-evaluate the host of coding editors out there. For the most part I just use good text editors. Though I do love Spyder, I only use it for a certain subset of tasks.

Yep. On a Blu-ray disk, you have 25-100GB of space to work with. The Blu-ray standard allows up to 40mbps for 1080p video (not counting audio). Way more for 4K.

Netflix recommends a 5mbps internet connection for 1080p, and 15mbps for 4K. Reportedly they cut down their 4K streams to 8mbps last year, though I haven’t confirmed. That’s a fraction of what Blu-ray uses for 1080p, never mind 4K.

I have some 4K/UHD Blu-rays, and for comparison they’re about 80mbps for video.

They use similar codecs, too, so the bitrates are fairly comparable. UHD Blu-rays use H.265, which is still a good video codec. Some streaming sites use AV1 (at least on some supported devices) now, which is a bit more efficient, but nowhere near enough to close that kind of gap in bitrate.

I think they reached a point where their user base was predominantly mainstream, not tech-savvy enough to know the difference.

I mean, how else can any site survive on advertising when the ads are so obnoxious and it’s so easy to block them? Either the site is great and the ads are non-intrusive enough that I’ll make an exception in uBlock, or I’m never seeing the ads in the first place.

Gemini might be good at something, but I’ll never know because it is bad at all the things I have ever used the assistant for. If it’s good at anything at all, it’s something I don’t need or want.

Looking forward to 2027 when Google Gemini is replaced by Google Assistant (not to be confused with today’s Google Assistant, totally different product).

In case anyone is unfamiliar, Aaron Swartz downloaded a bunch of academic journals from JSTOR. This wasn’t for training AI, though. Swartz was an advocate for open access to scientific knowledge. Many papers are “open access” and yet are not readily available to the public.

Much of what he downloaded was open-access, and he had legitimate access to the system via his university affiliation. The entire case was a sham. They charged him with wire fraud, unauthorized access to a computer system, breaking and entering, and a host of other trumped-up charges, because he…opened an unlocked closet door and used an ethernet jack from there. The fucking Secret Service was involved.

https://en.wikipedia.org/wiki/Aaron_Swartz#Arrest_and_prosecution

The federal prosecution involved what was characterized by numerous critics (such as former Nixon White House counsel John Dean) as an “overcharging” 13-count indictment and “overzealous”, “Nixonian” prosecution for alleged computer crimes, brought by then U.S. Attorney for Massachusetts Carmen Ortiz.

Nothing Swartz did is anywhere close to the abuse by OpenAI, Meta, etc., who openly admit they pirated all their shit.

Joplin is great. I have its data stored locally with encryption, and I sync across devices with Syncthing. It also has built-in support for some cloud providers like you mentioned, and since it supports local encryption, you don’t need to depend on the cloud provider’s privacy policy.

Setting it up on multiple devices was a bit complex, but the documentation is there. Follow the steps, don’t just waltz through the setup assuming it will work intuitively. I made that mistake and while it was not the end of the world, it would’ve saved me 15 minutes if I’d just RTFM.

Again: What is the percent “accurate” of an SEO infested blog

I don’t think that’s a good comparison in context. If Forbes replaced all their bloggers with ChatGPT, that might very well be a net gain. But that’s not the use case we’re talking about. Nobody goes to Forbes as their first step for information anyway (I mean…I sure hope not…).

The question shouldn’t be “we need this to be 100% accurate and never hallucinate” and instead be “What web pages or resources were used to create this answer” and then doing what we should always be doing: Checking the sources to see if they at least seem trustworthy.

Correct.

If we’re talking about an AI search summarizer, then the accuracy lies not in how correct the information is in regard to my query, but in how closely the AI summary matches the cited source material. Kagi does this pretty well. Last I checked, Bing and Google did it very badly. Not sure about Samsung.

On top of that, the UX is critically important. In a traditional search engine, the source comes before the content. I can implicitly ignore any results from Forbes blogs. Even Kagi shunts the sources into footnotes. That’s not a great UX because it elevates unvetted information above its source. In this context, I think it’s fair to consider the quality of the source material as part of the “accuracy”, the same way I would when reading Wikipedia. If Wikipedia replaced their editors with ChatGPT, it would most certainly NOT be a net gain.

99.999% would be fantastic.

90% is not good enough to be a primary feature that discourages inspection (like a naive chatbot).

What we have now is like…I dunno, anywhere from <1% to maybe 80% depending on your use case and definition of accuracy, I guess?

I haven’t used Samsung’s stuff specifically. Some web search engines do cite their sources, and I find that to be a nice little time-saver. With the prevalence of SEO spam, most results have like one meaningful sentence buried in 10 paragraphs of nonsense. When the AI can effectively extract that tiny morsel of information, it’s great.

Ideally, I don’t ever want to hear an AI’s opinion, and I don’t ever want information that’s baked into the model from training. I want it to process text with an awareness of complex grammar, syntax, and vocabulary. That’s what LLMs are actually good at.

Louis Rossman did a video about this the other day: https://www.youtube.com/watch?v=-8bTquKjzos

The gist is: They had a $100M of revenue outside of Google in 2023. 40M of that was passive income from their >$1B investment portfolio.

I wonder what it would cost to simply develop a web browser instead of all the other bullshit Mozilla is focused on nowadays.

Yes, absolutely! I’m in a renter’s mindset so I didn’t even think of that.

In theory, the only difference between an electric heater and your computer, as far as actual heat goes, is the dispersal pattern. They will generate exactly the same heat: 1W of heat per 1W of electricity used. That’s thermodynamics for you!

You said:

The flat was kept not quite as warm as previous years

So I don’t think it makes sense to assign any of the savings to using your PC vs your usual electric heaters. It’s because you kept your place a little cooler, which makes an absolutely huge difference. When heating in winter, every additional degree of air temperature is more costly than the last, since heat loss is relative to the temperature differential between indoors and outdoors (i.e. a warmer room will lose more heat to the outdoors than a cooler room, so you need to generate more heat to maintain it).

This sounds to me a lot like dieting. Most of the time, the success of a diet has less to do with the actual diet and more to do with the fact that dieting has made you more mindful and changed your behavior in other ways.

The two biggest things you can do to save money on heating in winter are:

1. Keep your place cooler. Wear warm socks, long sleeves, etc. instead.
2. Improve insulation. Plastic window insulation kits are cheap and easy to install/remove. For doorways, you can get adhesive insulating foam to fill side gaps and a slide-on door sweep to cover any bottom gaps.