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Comment by LPisGood | Hacker News Reader

The AI image and immediate emoji bullet point really turn me off from investing in a 36 minute read from a blog started in late 2025.

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> That’s pretty much what the Linux kernel does at boot. The bootloader is the dropship. Your computer is the barren planet. The advance team is the execution of the startup code in the Linux kernel—the one we’ll be following the whole time. And by the end of this article, that advance team will literally have transformed itself into the standby maintenance crew while a brand-new civilian government takes over. Bear with me—it’ll make sense as we go.

Seems pretty good so far, but the article writes itself in the intro to be very basic, which is a good thing for me, never looked at how the Linux kernel actually boots, so I have only the basic understanding from college.

> Seems pretty good so far, ...

I'm not sure about "good".

These horrible analogies though scream AI-generated content. LinkedIn is full of such crap: AI apparently atm loves to sprinking short sentences of the form: "The X is the Y. The A is the B." or "It's not C. It's D". when making analogies.

Everything has to be a "pattern": things cannot be described on their own. There needs to be a connection to something else for it to explain something: we're talking computers? We must somehow cram in the similitude with a four-strokes combustion engine.

I mean: how is fine-tuning a program or some heuristics not the same as a variable valve-timing motor engine feature?

"It's not fixed valve-timing we're dealing with. It's a variocam!".

If you ask me I find it really tiring already.

You should be reading a more formal document, seems to me you are just not the target audience. You disliking the analogies and getting tired at it for not getting to the point doesn't necessarily mean the text is bad, because that's too much of a narrow view in which to criticise a text that is clearly almost a social communication piece of sorts.

I’m more interested in the topic myself. Do you have any recommended reads (besides the usual ones - tldp, kernel docs, linux foundation, etc)?

https://lwn.net is a goldmine of great contents about Linux kernel.

Let me explain why I post links to posts from https://internals-for-interns.com . I hate AI slop. The author of these posts uses AI for generating these posts - this is clearly visible via AI-generated images, emojis and em dashes. But the posts themselves do not contain misleading slop you could see in a typical AI-generated content. These posts are very clear and accurate. While they contain some inaccuracies and mistakes, the number of these mistakes is very low. These posts help learning and understanding complex technical topics such as internals of Go, filesystems, databases and linux kernel, by reading a clear easy to understand text.

It is important to differentiate between low-quality AI slop and high-quality contents generated with the help of AI. The posts at https://internals-for-interns.com belong to the second category.

While at it, I recommend reading the article from ClickHouse author on how to properly use AI - https://clickhouse.com/blog/agentic-coding .

I must not be that keyed in to AI because I didn't notice. Thankfully I checked the comments before I got too far into the post.

i see one whole emoji on the entire page

You’re right, but it’s immediately right up top next to the em dashes.

there is a certain irony in not being able to spend 5 seconds to verify your complaint, when your complaint is presumably about the author's lack of effort.

I’m not sure what you mean. I saw the emoji bullet point, the em dashes, the date of the first post, and scrolled to a random paragraph; that’s plenty of verification.

That emoji is about as appropriate as can be. It is an important disclaimer that is very useful to know, which would else easily be missed if just flying over the text (as I tend to do, to check if the outline is interesting enought for me to read the whole text).

Emdash wise having a total of 97 really is excessive in such a text. That is averaging like 2 every 4 line paragraph. It really tells me it was likely sent through an LLM.

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