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"But the hardest lesson wasn't about database design. It was discovering that the real bottleneck wasn’t what we were observing and measuring."


But was it load bearing?


Even better.

It's web-scale.


load = bearing

gun = smoking

insight = key

gap = closed

summary = executived


belt = suspended


boot = strapped


Until now I thought it was boots-trapped. I am not a native speaker :)


The idiom is to "pull oneself up by one's boot straps":

https://en.wikipedia.org/wiki/Bootstrapping#Etymology


Thanks!


It needs a ledger


It's honestly weird Claude converges on this language because it's incredibly wordy and hard to parse.

One would think semantic density would win out in training.


Who knows. I wish ant harshly penalized speaking litotically because it’s essentially reward hacking as it can often be read multiple ways.

It’s also annoying as a human because Claude et al rate their own writing very highly, putting human<>LLM interactions at a disadvantage to human->LLM<>LLM interactions.


Thanks for teaching me the word ”litotically”!


Claude doesn’t think or have a goal like correctly summarise a topic, it just generates text based on the corpus and training. So not really weird that it is sometimes vague and sometimes incorrect.

Training could not address semantic density unless it was for the very specific pattern you need for this very specific article.

I guess the people generating the article don’t really care if is correct or easy to read, as long as it gets indexed in Google and linked by prominent sites like HN it has done its job (seo).


Why? This is a common transition that people use in speech and text.

Close out previous paragraph. Segue to completely different topic.

How else are you supposed to go on a tangent?


I feel that Claude converge to more claudism while Chatgpt sounds more natural.

Both sucks in French but at least chatgpt prose is readable while Claude is awful.


Each version minor version of Claude has its own preferences for vocabulary.


[flagged]


It's not hard to parse, but it's a dense pair of sentences that say nothing. It just pads the length of the article and gives readers mental fatigue trying to read between the lines to figure out what the point is.


> It's not hard to parse

That's what I said. Full stop.

> but...

a bunch of stuff that just pads the comment agreeing with me but adding nothing else of value.


> a bunch of stuff that just pads the comment agreeing with me but adding nothing else of value.

I think you need to "pick up a book." What I wrote disagrees with you, and to think otherwise is just sophistry.


I actually don't think this article was LLM generated but these two sentences suck. I think they were moved from another part of the article without being modified.

First, "the hardest lesson". What lesson? It is out of context. Nobody was talking about lessons before this.

Second, "the bottleneck wasn't what we were measuring and observing". Of course the bottleneck itself wasn't that. They couldn't discover what the bottleneck was using the information in their measurements and observations.

It is a clunky and frankly incorrect passage in an otherwise well written article.


> but these two sentences suck.

Sure. But that's not what's being discussed here. People are poor writers. People write, and they barely edit. But hard to parse? No, not at all.


It is hard to parse! It talks about some lesson that is out of context and the second sentence makes you do a double take because it's incorrect.


Sure, it's not technically hard to read.

But it suuucks, making it hard to read, the same way (some) fast/junk food is hard to swallow.

They have access to a trillion dollar writing machine god, and they choose to publish that.


Nope. Hard to parse. And it's not hard to parse.

> fast/junk food is hard to swallow.

Lots of people easily eat it so this doesn't make sense. Someone, like our friend above, might suggest this makes what you just said hard to parse.

> They have access to a trillion dollar writing machine god, and they choose to publish that.

Do they? Please, share with me the trillion dollar writing machine god. None of the LLMs I know of would be considered a writing machine god.




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