Lyngbakr

But I think there will be a lag. The US has (willingly) forfeited some of its soft power and we may not see the impact of that immediately.

Even if you get it to the seabed, the majority will be remineralised there. And if you pump enough down there to bury significant amounts of organic carbon, the bottom waters will likely become hypoxic as a result.

While I like the idea of using small pockets of time for reading a few pages here and there, the practice I find more difficult. I need these few minutes for my brain to stop braining momentarily. I have tried carrying a book with me, but when I did crack it open I typically read a paragraph, reread that paragraph, and then conceded that I don't recall what I just "read".

Likely it's a me problem, but I'm mentally so tired that I simply cannot maintain an uninterrupted stream of tasks even if the interstitial spaces are filled with something I enjoy like reading.

Jane Street uses OCaml in a domain where performance matters.*

*https://signalsandthreads.com/performance-engineering-on-har...

Something I couldn't find info about is how this is funded, given that it is ad free and doesn't sell user data. Is it supported by a nonprofit organisation or just paid for out of the developer's pocket?

It depends why you're doing it. Are you doing it for the product or the process? (Of course, they're not mutually exclusive.) I do it for the fun of building, in which case AI is irrelevant.

But the community repo in Alpine is vetted and reviewed unlike AUR, which is a wild west.

To be fair, the French riot in the streets when one of their teams win the Champions League[0]. I'm not sure it's a good metric.

[0] https://www.bbc.com/news/articles/c0r2ejg1w9xo

    > You already know why, more or less. ChatGPT has over 900 million monthly active users. GitHub Copilot has 4.7 million paying subscribers as of January 2026, up roughly 75% in a year. You can’t imagine writing software without Claude Code anymore.

I read programming books and use LLMs for different purposes. With books, it's usually not to find a solution to the very specific problem I'm working on. That's what I use LLMs for because they give very focused answers. Books, on the other hand, provide much broader context that help me learn a language. Whereas with LLMs I get a solution yet tend to retain nothing. YMMV.

    > They are being told, on the one hand, that these tools are going to eliminate millions of jobs, and on the other that they have to use them if they don’t want to fall behind.

I'm currently reading a fascinating book called Blood In The Machine° about the Luddites who opposed certain technologies in 19th century England and the parallels with the current state of affairs. It's important to remember that while history doesn't repeat itself, it often rhymes.

° https://www.goodreads.com/book/show/59801798-blood-in-the-ma...

Wow — I'm user 404!

I recently discovered Lorn and have been mainlining his back catalogue ever since whilst working. Thoroughly interesting and immersive yet not distracting.

Back when I used to use Stackoverflow, someone would always come along with a data.table solution when I asked a question about dplyr. The terse syntax seemed so foreign compared to the obvious verb syntax of dplyr. But then I learned data.table and I've never looked back. It's a superb tool!

Agreed — I much prefer polars, too. IIRC the latest major version of pandas even introduced some polars-style syntax.

His books are perhaps in the same category as Nickelback albums: people love to rag on them, but if you look at the sheer number of units shifted, clearly lots of folks enjoy them.

Is the point of journalling for you to have memories to look back on or to help you process what happened during the day or another reason? (I've never tried it so I'm trying to understand the purpose.)

What's the product/use case?

I have a PhD in a similar field to Earth Science and now I'm an engineering team lead at a company in a field related to my PhD. This is the second such role I've held like this and it was very much that I found a perfect position in both cases. I think a key part of being able to combine my domain and technical expertise in a single role was that the jobs were at startups where there's often the need for folks to wear multiple hats. That said, in the past decade since leaving academia I have perhaps seen a handful of such jobs. So, they do exist, but are few and far between, IME.

The two aren't mutually exclusive.

I was nodding along enthusiastically right up until LLMs and that point we sharply diverge.

For me, part of creating "perfect" software is that I am very much the one crafting the software. I'm learning while creating, but I find such learning is greatly diminished when I outsource building to AI. It's certainly harder and perhaps my software is worse, but for me the sense of achievement is also much greater.

While I certainly found it insightful, I felt like this book (like so many in the genre) was a pamphlet's worth of material inflated to fill about 250 pages.

I recently put Alpine with i3 on a Raspberry Pi 4 Model B and I'm super impressed with how snappy it is. I find it much better even than Raspberry Pi OS Lite.

In a submission to OCaml, when asked why the files he submitted list someone else as an author he says,

    > Beats me. AI decided to do so and I didn't question it.°

I find that sort of attitude terrifying.

° https://github.com/ocaml/ocaml/pull/14369#issuecomment-35573...

Yikes. Were they experienced data scientists or straight out of school? I find it very odd (and a bit scary) that they didn't know SQL.

I was a bit disappointed to discover that this was essentially an R vs. Python article, which is a data science trope. I've been in the field for 20+ years now and while I used to be firmly on team R, I now think that we don't really have a good language for data science. I had high hopes for Julia and even Clojure's data landscape looks interesting, but given the momentum of Python I don't see how it could be usurped at this point.

I certainly agree with your take on Buddhism, but I often find that sage advice is buried amongst spiritual waffle in Buddhist books.

It's like a package manager on steroids!

When I tried using Gleam, I loved that it came with all the basic tooling I needed and that's what I think is so wonderful about Lux. I don't want to spend my time fiddling around with setting up all the individual tools — I just want to write code. For me, Lux makes the broader experience around building Lua projects a lot more enjoyable.

Out of curiosity, what in a broad sense is configured in those 10 lines? (For context: I'm a Helix user trying out terminal-based vim at the moment and I'd like to know what the most important tweaks are.)

I'm sure most folks here have seen the talk, but Rich Hickey's Simple Made Easy# is a superb discussion about this in the context of software.

# https://youtu.be/SxdOUGdseq4?si=fbRmd27oY80LZxw6

This was exactly like my experience, although mine was in the UK maybe 15 years earlier. I went to university and studied a particular subject so that I'd be employable and didn't enjoy what I was learning. (It's debatable whether I learnt much at all, though.) Like the author, many years later I also came across computer science and found it exciting and engrossing, but I have a slightly different take on that:

    > Absolute joy turned into anger, and anger into resentment, as I wondered how different my life might have been if I’d been taught subjects I actually cared about by professors who cared too. 

For me, I'm not sure that hypothetical alternative path was ever available. I really admire university students who are passionate about what they are learning, but I doubt that could've been me regardless of the subject (unless that subject was beer). I simply wasn't in the right headspace for that.

Perhaps I needed to grind out a dull degree as it ultimately set me on a path to a time/place/subject that I really do enjoy. My interests now have been shaped by my journey and if you'd tried to teach me computer science at 18 I'm sure I would've hated that, too.