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menaerustoday at 4:54 PM5 repliesview on HN

Like, who cares? In today's present, I wouldn't bother writing the article myself neither besides giving the instructions and auditing the output. Substance is what matters


Replies

circuit10today at 5:26 PM

I struggled to understand the article, it doesn't properly explain what the exploit is in a way I could immediately understand, after staring at it for a bit and reading comments here I think it's a hardware register that's exposed to user software that shouldn't be but I really didn't understand that at first glance ("Poke the DRAM controller" made me think a hardware exploit) and I'm still not sure if I'm right about that (if it is, just start by explaining that instead of all the unnecessary filler and diagrams and animations of the Mona Lisa being scrambled and talk of bath salts which I still don't understand the relevance of)

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12_throw_awaytoday at 7:49 PM

> who cares?

Assuming this is a genuine question, here is why people care, and why this sort of writing is a waste of everyone's time.

LLMs can of course generate a lot of text about a subject, but they are still quite bad at generating a piece of writing with a coherent point. Remember how in grade school they teach you that your writing should have stuff like "introductions" a "thesis" and "topic sentences" and "conclusions"? How these things give structure to your writing, communicating to your reader both what they are reading about and why you are telling them about it? LLMs still don't seem have a model for the why part of writing. They can generate large homogeneous blobs of text on the topic at hand, but fail to differentiate the important parts from the details.

For example: all those LinkedIn cliches that LLMs are so fond of - "it's not X, it's Y", rule of 3, etc. - these are tools for bringing focus to the most important points. Even terrible LinkedIn posters implicitly know to use these cliches to drive home their (usually anodyne) messages. LLMs don't understand this, so they just use linkedin cliches everywhere, turning the whole thing into a breathless monotone.

Besides all of that - unless you've somehow missed the constant parade of people begging others to stop sending them LLM-generated prose, and all the reasons they've given for why it's actively bad for everyone involved - it seems like "who cares?" is a bit of a disingenuous question, and one you could have easily answered yourself.

toast0today at 5:45 PM

> I wouldn't bother writing the article myself neither besides giving the instructions and auditing the output.

The article would be better with just the instructions and audited output. All the LLM added bloat is tiring and distracting; it's like an article from New-Yorker or Wired.

pocksuppettoday at 5:05 PM

Did you test the substance? Did it work? AI can hallucinate substance.

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jchwtoday at 5:13 PM

> Like, who cares?

You are literally asking this to people who clearly care...

> In today's present, I wouldn't bother writing the article myself neither besides giving the instructions and auditing the output.

Then why exactly are you even bothering to reply to me instead of having Claude do it and auditing the output? If HN didn't have a rule against it, would you even bother replying yourself?

But really, there's a fair bit more to unpack here than just that. Why wouldn't you bother? Is writing a README.md about some project you worked on really that hard? Even with heavy LLM assistance, I'd wager to guess this project, which clearly involved working on real hardware, was more than just prompting. So clearly there was human effort other than prompting. And I do respect that, but I want people who write things to respect my time. I'm not asking them to disclose every tool they use, I'm asking them to not waste our time with crappy irritating Claude writeups. Whether it's explictly specified or not, we know.

Frankly I struggle to believe that people don't really mind if someone else speaks for them in their own voice, just because they're too fucking lazy to speak for themselves anymore. We've had competent GenAI for like a year or two, at this rate people are going to forget their potty training in another few months.

> Substance is what matters

Substance matters, which is not great for LLMs, because they put out text that has far more fluff than substance. What, however, is far worse for LLMs, is the fact that kick and scream and cry all you want, but: style and presentation matters, too.

It is absolutely true that if you just dropped a very brief blurb that all AMD CPUs from a certain generation can be pwned it would have a decent chance to hit the HN frontpage just out of sheer interestingness. That is not because the style and presentation doesn't matter, it's just that the substance is significant in spite of the bad presentation and style.

And absolutely, we can easily forgive someone for simply not being very good at the presentation and style part, certainly I'm not really an expert at it. But this author has released plenty of great hits before, so I damn well know they can. It's a serious disappointment to see them downgrade to irritating, grating Claude garbage output.