Appearing productive in the workplace
251–260 of 686 posts
Re: Appearing productive in the workplace
#252Earlier quoted context omitted.
> Requirements documents that were once a page are now twelve. man I see this on Jira a PM or BA is like "yeah I'll write that AC for you" giant bullet list filled in a bunch of emojis and checkmarks
Does anyone know where that style came from? Did it become popular in listicles or on github or something? Or is there one person deep inside OpenAI or Anthropic who built the synthetic data pipeline and one day made the decision on a whim to doom us to an eternity of emoji bullet points?
Somehow they must have been over-represented in the training data (or something in the tokenising/training/other processes magnifies the effective presence of punctuation) because I don't remember them being that common and LLMs seem to love spewing them out. Or perhaps it is a sign of the Habsburg problem: people asked LLMs to produce README files like that because they'd seen the style elsewhere, it having spread more organically at first, and the timing was just right for lots of those early examples to get fed back into training data for subsequent models.
Re: Appearing productive in the workplace
#253It would be nice if someone invented a mouse with a tiny motor inside, so I could put on sunglasses, rest my hand on the mouse, doze off, and still look like I'm working hard.
Re: Appearing productive in the workplace
#254Earlier quoted context omitted.
I write a lot and have on several occasions tried dictation as an initial draft authoring step. It was trash every time. Good for thinking through a concept but unsalvageable in the edit phase. Easier to throw away and rewrite now that you know what to say. Nowadays I like conversation as an ideating step. Talk to a bunch of people, try to explain yourself until they get it, see what questions they ask. Sometimes in…
> It can take weeks of work to produce a 500 word product vision document. Don't you get dinged as a slow performer? Management expects x5 speed on everything now that AI is available.
If your boss asks you for specific documents and expects a quick turnaround, and you regularly take 3 weeks or whatever to produce them, then yeah probably.
If your boss generally leaves you alone to find and solve problems on your own, then probably not.
Re: Appearing productive in the workplace
#255Re: Appearing productive in the workplace
#256Earlier quoted context omitted.
> Requirements documents that were once a page are now twelve. man I see this on Jira a PM or BA is like "yeah I'll write that AC for you" giant bullet list filled in a bunch of emojis and checkmarks
Does anyone know where that style came from? Did it become popular in listicles or on github or something? Or is there one person deep inside OpenAI or Anthropic who built the synthetic data pipeline and one day made the decision on a whim to doom us to an eternity of emoji bullet points?
Re: Appearing productive in the workplace
#257Re: Appearing productive in the workplace
#258Earlier quoted context omitted.
I like them. It tells very clearly how much effort went into someone's work. I like them even more on code comments. It tells _precisely_ how much effort went into the pull request, so I don't spend time reviewing lazy work.
So you just rubber-stamp the lazy work? What else can you do when this PR is assigned to you specifically for reviewing?
Re: Appearing productive in the workplace
#259Earlier quoted context omitted.
Minimum word lengths were really a terrible idea and I wonder what arguments were used to get all the teachers to buy into that system.
Where I encounter it at the higher education level is that academic-level research almost universally has maximum word counts or page counts rather than minimums: if you think you can get your point across in fewer words, you should. No reviewer is going to object to the paper being too short, so long as you succeeded in making your case. John Nash's Ph.D. Thesis is notorious for being short: it's still 27 pages (typ…
Re: Appearing productive in the workplace
#260Earlier quoted context omitted.
Without getting into AI-for-work good or bad, > update 42 if statements in 32 different files is a silly behavior for a programmer or an AI to have to do more than twice. We have tools that very effectively remove the need for things like that: programming languages that allow modular and reusable code, good design, etc.
Ideally. But that requires the correct abstraction, requires keeping it up to date.... that's basically an unachievable ideal. You either have overabstraction/overengineering (most codebases) or you have repetition. Repetition is actually more preferable in the LLM-world because you have to keep less stuff in your head. And the LLM's head too. Even if something does look copypasted, it might actually be semantically…
I'm not some DRY zealot, but I've been in the "this system needs really similar changes to a ton of geographically distant code for simple changes" salt mines a lot. The people who say that kind of spaghetti is unavoidable are just as wrong as the ones who say it can only be fixed with a grand rearchitecture by a rockstar.