Back in high school when I was writing essays, my teacher always demanded to use justified text, because simple left aligned or right aligned text looked ugly. Even back then as a totally rebellious teenager, I agreed with her. Print has used it for hundreds of years, why shouldn't we?

The web has always resisted this development because it was difficult. Yes, the css property text-align: justify exists, but browser were always missing the crucial functionality of hyphenating words. That led to very ugly justified texts and so called "rivers" of whitespace because the spaces got so large. Begrudingly, I got used to it.

I was surprised to learn that all major browsers support the new hyphens css property since late 2023. This one adds exactly that crucial functionality. I was stunned and immediately tried it out and oh look, the web is so much more beautiful now.

You can try out yourself here on Tildes! Just right click a comment, click "Inspect" and then when the dev console pops up, add

text-align: justify;
hyphens: auto:

to p, which stands for the paragraph html tag and in which all text posts are rendered on Tildes.

It looks so much better! But I do wonder why it hasn't spread around more in the web. Am I the only one? Am I nitpicky? I feel like the improvement is stark and very good for functionally no extra work. I even installed a browser extension which augments a website's css so I could automatically do it on most websites.

I had a little interaction over at the local ~health.mental monthly meeting that sprouted the idea of trying to create a kind of poetry/illustrated book together.

Original comment, for reference

I moved back to my parent's place, and mentally that has been hard because of past trauma issues related to the place.

But I've come up with many coping mechanisms and meditate a lot. So that has been helping.

But I still cry sometimes.

I think the cadence is kind of sweet and an interesting base to tell small stories (either as part of a larger story or independent) from daily life.

As I wrote there I think having each spread of the book in the same format will drive the point across best: that no matter how life is, sometimes we cry and that's probably a good thing.

Well, let's see if we can come up with similar short stories, or just talk about the idea, or share a drawing that you'd like to show us that you think would fit.

Overview

Background

Why I chose the Minimal Phone by Minimal Company

• while more expensive than a cheap android that I do software limitations on, it felt like I was getting a device that worked for me, rather than doing a bunch of configuration to get one to work for me
• Minimal phone was significantly cheaper than the Lite Phone, and had Google Playstore access to add some apps not included that I may need
• RCS support (it is just running Google Messages)
• eInk felt like a good fit for me
• The physical keyboard intrigued me

Experience ordering the phone

Software Impressions

Hardware

Summary

I have a 14 chapter text book to go through.

So far my plan is to read 1 chapter per weekend ( okay maybe two weekends ) and take solid notes on it.

Weeknights I am usually used up from work and got life to live. My thinking is review what I have already covered then.

My question is how to schedule the reviewing of old stuff so I don't lose it.

Example: If I just finished chapter 10, when would I review chapters 2,3,4...etc?

Anyone have experience with preparing for such a big exam?

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Sometimes I feel like there's something wrong with how I use technology, or I'm just incredibly biased and predisposed to cynicism or something, so I wanted to get a pulse on how everyone else feels about AI, specifically LLMs, and how you use them in your professional and personal lives.

I've been messing with LLMs since GPT-3, being initially very impressed by the technology, to that view sort of evolving to a more nuanced one. I think they're very good at a specific thing and not great at anything else.

I feel like, increasingly, I'm becoming a rarity among tech people, especially executives. I run cybersecurity for a medium sized agency, and my boss is the CIO. Any time I, or any of her direct reports write a proposal, a policy, a report, or basically anything meant to distribute to a wide audience, they insist on us "running it through copilot", which to them, just means pasting the whole document into copilot chat, then taking the output.

It inevitably takes a document I worked hard on to balance tone, information, brevity, professional voice, and technical details and turns it into a bland, wordy mess. It's unusable crap that I then have to spend more time with to have it sound normal. My boss almost always comes up with "suggestions" or "ideas" that are very obviously just copy pasted answers from copilot chat too.

I see people online that talk about how LLMs have made them so much faster at development, but every time I've ever used it that field, it can toss together a quick prototype for something I likely could have googled, but there will frequently be little hidden bugs in the code. If I try to use the LLM to fix those bugs, it inevitably just makes it worse. Every time I've tried to use AI in a coding workflow, I spend less time thinking about the control flow of the software, and more time chasing down weird esoteric bugs. Overall it's never saved me any time at all.

I've used them as a quick web search, and while they do save me from having to trawl through a lot of the hellhole that is the modern internet, with blogspam, ads, and nonsense people write online, a lot of times, it will just hallucinate answers. I've noticed it's decent at providing me results when results exist, but if results don't exist, or I'm asking something that doesn't make sense, it falls flat on its face because it will just make things up in order to sound convincing and helpful.

I do see some niches where the stuff has been useful. Summarizing large swathes of documents, where the accuracy of that summary doesn't matter much is a little useful. Like if I were tasked to look through 300 documents and decide which ones were most relevant to a project, and I only had an hour to do it, I think that would be a task it would do well with. I can't review or even skim 300 documents in an hour, and even though an LLM would very likely be wrong about a lot of it, at least that's something.

The thing is, I don't frequently run into tasks where accuracy doesn't matter. I doubt most people do. Usually when someone asks for an answer to something, or you want to actually do something useful, the hidden assumption is that the output will be correct, and LLMs are just really bad at being correct.

The thing is, the internet is full of AI evangelists that talk about their AI stack made up of SaaS products I've never even heard of chained together. They talk about how insanely productive it's made them and how it's like being superhuman and without it they'd be left behind.

I'm 99% sure that most of this is influencer clickbait capitalizing on FOMO to keep the shared delusion of LLM's usefulness going, usually because they have stake in the game. They either run an AI startup, are involved in a company that profits off of AI being popular, they're an influencer that makes AI content, or they just have Nvidia in their stock portfolio like so much of us do.

Is there anyone out there that feels this technology is actually super useful that doesn't fall into one of those categories?

If so, let me know. Also, let me know what I'm doing wrong. Am I just a Luddite? A crotchety old man? Out of touch? I'm fine if I am, I just want to know once and for all.

Hungarian Grand Prix
Hungaroring
August 1-3, 2025

Next race:

Dutch Grand Prix
Circuit Zandvoort
August 29-31, 2025