LLMs have made this problem extremely worse. Imagine how'd you'd explain what an MCP is in a couple words and technically, then try to look it up. There's phone books worth of pages and text that never end up getting to the point.
LLMs have made this problem extremely worse. Imagine how'd you'd explain what an MCP is in a couple words and technically, then try to look it up. There's phone books worth of pages and text that never end up getting to the point.
A lot of Paul Graham and Joel Spolsky posts don't get straight to the point and usually do not follow an intro -> body -> conclusion format. A lot of them start with a story that makes the direction of the post unclear[0] or include long digressions whose value isn't immediately obvious.[1]
For a while, I struggled with this contradiction because I think good writing should quickly demonstrate the value a reader can expect, but I think Graham and Spolsky are excellent writers that frequently take their time in getting to their point.
The easy answer is that Graham and Spolsky are famous, so they can do whatever they want, and people will still read. I've come to think it's actually that writers like Graham and Spolsky are so good that the quality of the writing itself is the thing of value that keeps you interested even if you don't know what point they're going to make.
[0] https://www.joelonsoftware.com/2000/04/06/things-you-should-...
But to take Spolsky's "Things You Should Never Do" as an example, obviously nobody's Googling, "things to never do," clicking Joel's article, and then getting annoyed at Joel for not telling them immediately. They're finding the post on HN, RSS readers, forums, etc., where they didn't have a specific goal in mind beyond learning/entertainment, so the author has more room to take their time.
To a certain demographic coming of age in the 2000s, yes all of this writing was considered pretentious garbage getting in the way of sincere attempts at learning. They laughed at us from the high ground.
I didn't really enjoy Joel's writing until years later into my career.
My 2c is that rule #0 of writing advice should be to take all writing advice with a grain of salt and an eye towards context and audience.
Right, all good (human) communication boils down to both the author and the reader having a theory-of-mind for one-another. The writer must anticipate what a reader will be thinking, and a reader must imagine [0] what the writer wanted to convey.
That's part of what makes the modern epidemic of LLM slop so frustrating: The correctly-formed words make us waste effort trying to reconstruct a mind that was never really there. Like some animals encountering an extremely realistic plastic fake that we cannot eat/mate-with.
I'll admit that sometimes I'm frustrated with HN comments on arxiv articles. Despite being a nerdy forum most papers aren't written for this audience. Hell, I have a PhD and most papers aren't written for me. Nor should they. I'm perfectly okay if I don't understand a paper. Arguably the hardest thing about a PhD is learning to be comfortable with being dumb and willing to work on becoming less dumb (you're never not dumb, only less dumb)
> At least in machine learning
You should read math papers lol.Honestly, I feel the opposite. But maybe that's because my doctorate is in ML. But we might also have a different definition of what the hallmark papers are. Many of the well known papers are ones that model scaled an existing method (ViT and ddpm are good examples). Important papers, but in which sense? I do think we have space for all types of papers and written to different audiences, but I don't think we should punish papers just because they're written to their niche domain. In the past decade there's been a huge increase in citation farming and I don't think that helps. Math is probably too much on one extreme but I think ML is on the other. You have to write your papers so a first year PhD can understand, because they're the ones reviewing your work. I don't think that's a desirable outcome
For example, the papers where Einstein presented special relativity suck really but most of people know about it with goor grasp before reading the actual papers (People of that era).
The worst presentations are always the one that assume that you know every experimental technique and every bit of knowledge. I always took the stance that the audience had at most a master's degree in the field and took care to explain everything, even briefly.
0) https://users.ece.utexas.edu/~perry/education/SE-Intro/fakei...
Same goes for some blog posts as well, could have been less than 500 words and instead it’s turned into a novel
I do find it kind of annoying when someone has a set of side characters they are trying convey the information through. Like it's cute the first few times you see it but after a while it's grating.
I do think some people for whatever reason also have no issue with the front loaded info dumps, maybe they are looking for a specific piece of information they want to pull not sure. I prefer something a bit structured while having the ability to zoom out and look for the piece later on.
Not everyone consumes information the same, so I don't know there's really a objective best way.
> LLMs have made this problem extremely worse. Imagine how'd you'd explain what an MCP is in a couple words and technically, then try to look it up. There's phone books worth of pages and text that never end up getting to the point
Also this, but I think this might be a result of models of poorly designed benchmarks and training that led to claude reading like an inner monologue and an exhaustive noncommittal statement being certain on very few things, leading a ton of unnecessary prefaces.
I don't know if it's still there, but Grammarly used to have an AI feature that specifically made text longer. It was literally a button that says "Make longer."
> education is not storytelling
I actually disagree. We're humans and we love stories. They keep is engaged and are a good way to compact information. But it also is highly dependent on how it is done. Truth be told, we're constantly telling stories and I think part of the problem is not being cognizant of this. > People want to save "twists" and "revelations" for maximum impact and it's harmful.
Maybe I'm misreading you. "Plot twists" would certainly be the wrong implementation. But when teaching one of my goals is to get students to be trying to ask a question that I'm about to answer. That's the story part. I'm leading them down the path and they should have suspicions about what lies around the next corner.So basically a goal is that I'll stop for questions at some point and if I'm successful there'll be a student that asks a question we've been building up to and that I'm about to ask and/or answer. But there shouldn't be a "plot twist". I'm not trying to surprise students (usually :), but rather the story should make sense. As an educator[0] my goal is to get students to remember certain things and ask the right questions (a skill that's non-obvious yet people are overly confident about their level).
A good example of story driven writing is Cropper's The Quantum Physicists: And an Introduction to Their Physics. I really enjoyed this in my undergrad because it not only taught the physics but taught it in a historical manner. I said there's compression in story telling and this style of teaching did a great job at motivation of why these physicists were asking these questions. It gave context. I honestly think it had a big impact on me and helped push me into research (I do ML, not physics).
Certainly there's a time and place for being terse and hyper fixated on the information you're trying to teach but often we're trying to do a lot more than that.
FWIW, I think LLMs are terrible at this. They make everything seem "exciting". When everything is "load bearing" then nothing is. They're really bad at the context and understanding the bigger picture. They're especially terrible at responding to a question with something like "keep that question in mind, we'll come back to it in next week's lecture"
[0] I'm currently in industry
Not when I'm busy and trying to clear my backlog of tech newsletters to find needles of wisdom in a haystack of meandering fluff. I'd rather have every article start with an executive summary. I'll save the stories for leisure.
In other words, the clearest possible conveyance of information.
At some point the learners have to connect with "why" and do something with the information. Is it the teacher's problem if students have no connection with the information they are being fed? It seems you would say no, let the students deal with the trouble of caring about and connecting to the content. You may be right.
I think it's not a strict binary question. Clearly some stages of learning require lots of information (grammatical and mathematical rules, for example). But stories often provide the hook or opening where the information starts to matter to the learners, and that holds for how I want my LLM to feed me information. This does not mean I want flowery and gratuitously validating prose for every scenario. My account-level instructions for chatgpt say something like "talk like Data from Star Trek." I've rolled my eyes more than once at the AI slop analogies or the overdone AI ted talk approach to everything.
When I explain something I think it's always useful to exercise at least a modicum of empathy towards my audience - I have learned far too many times that, thorough as my givings forth have been, my listeners have not understood things I assumed they did. That's where story comes in, and the right story connects to things students care about.
Today, the circumlocution is to keep you on the page or video for as long as possible for maximum monetization.
This annoys me so much. Don't tell me what you're gonna say next, just fucking say it.