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I thought the downvotes on this comment would be the funniest thing about the submission until the whole thing got flagged.

Opus 5.5 is better but by no means good at writing IMO. Still loves "noun verbs the object" sentences where the verb is an inappropriate and imprecise metaphor. Still loves negating premises nobody previously advocated for. Still loves incorporating irrelevant details of a conversation or investigation into comments and documentation. I don't think I've seen "load-bearing" myself yet but there's still a lot of things landing and being held.

> likely human

X to doubt. I think the more parsimonious explanation is that a lot people are lazy and/or uncaring, and given the option to avoid thinking while still producing a vaguely equivalent [1] output they're taking it.

[1] For a loose definition of "equivalent" where they clearly either don't notice the Claudeslop or don't care enough to avoid it, of course.


Oh I am doing it on purpose lately here in HN, and it's hella hard to sound as dumb, repetitive and cliche as Claude.

Their exact phrasing IIRC was that they "never intentionally degrade" their models.

This still leaves an absurd amount of wiggle room for arguments like "oh no, our evals show that this quantization has no detectable effect on performance (in the eval distribution) therefore running the quant doesn't degrade quality"


"just"

I don't think I have ever once run "pip install transformers" and had it work without three rounds of fiddling


Or trying to install the whole of CUDA on machines that do not even have a GPU (not Nvidia, not anything past the embedded)...

Yep, that's (also) what I meant ;)

Lean, efficient... Also sensible and trouble-less.


The 'not nvidia' is no longer a deal breaker by itself.

Because Git can track symlinks and not hard links since they look like ordinary files.

Only a presence bitmap? If we're contemplating packing schemes I'm tempted to write a paper that uses arithmetic coding to squeeze out a few more centi-bits.

Agreed. One possible objection might be that they need fast random access to weights, but I skimmed parts of the paper and it looks like they process 128 entries at a time, which to me sounds like it should be amenable to better compression: short enough that better compression results could still be efficiently cached in faster local RAM, long enough that better compression would save useful amounts of memory per block.

Pangram gets brought up a lot because if I read an article and think it's blatant AI slop and want to communicate that fact, a natural impulse is to provide some sort of objective corroboration rather than just asserting that I have superior taste and thus am able to tell.

Also Pangram is basically the only AI detector that's actually put in the work to build an accurate classifier, so if you try to discuss AI writing detection without being specific that you mean Pangram you'll get half a dozen commenters screaming about how awful some of the snake-oil salesmen like GPTZero are.


> the author might not know what "impressive writing" or even "good writing" is

Well the author in this case is Claude, and AIs write like that because the assistant persona really thinks that's what good writing sounds like. They're wrong, but they're just doing what they were taught. There's a reason LLM raters consistently score LLM writing highly.


Conveniently, Reddit has auto-banned the last three accounts I tried opening with them [1], which really enhances the impact of the old.reddit changes for me personally.

[1] I have no idea why this is the case, AFAICT it's just anti-bot autoimmune disorder deciding it doesn't like some signal or other.


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