vector_spaces
Joined 8 years ago
Joined 8 years ago
You spend far too much time interrupting the flow of your write-up describing the product with biographical asides and implementation details. I would place each of these in their own sections/paragraphs -- first few paragraphs describe the product, the next few describe how you did it, the last is for you to talk about your background. This is roughly in order of what your readers are prioritizing and skimming for.
Next, what is shown on the landing page looks like a trivial to-do application with additional polish. Only from reading your write-up do I know it's somewhat more sophisticated than that. I'm not a designer so I can't provide guidance here, but there should be some signal that this app is doing more if you want to command even half of what you're asking pricewise.
And for the love of all that is good, you need to drop the bracketed parentheticals. They are an eye-sore and make your writing painful to read and skim.
Parentheses signal to the reader that while their contents are not essential to understanding the sentence, they might provide useful additional detail. Therefore each time you use one, you impose a little extra friction for the reader. You are asking them to hold a little extra information in mind to understand the sentence.
If your instinct is to bracket something, usually it's a sign you should simply leave it out. But if you really can't imagine leaving it out, then a bracket is probably inappropriate anyway. Most of yours fall into the former category. I would budget at most 2 parentheses for a write-up like this. Most of your sentences contain one, and some have two!
I still found it really strange though for an indie hero to be so reductive in how he described such games, particularly when one could more easily produce similarly reductive readings of his games without even being too uncharitable
Likewise OpenAI doesn't have "skin" of any shape or value in e.g. the mathematics community or even in mathematics research per se. In my cynical view, they are exploiting the exposure of mathematical research to automation in an effort to create a case study of their product obsoleting a highly visible and well-leveraged and relatively small profession. Regardless, I doubt even they would say they have durable skin in mathematics in any sense, certainly not in either of the senses I mentioned above. But their output inhabits the same space as mathematicians, who have to contend with the consequences
I don't personally grieve for the likes of Strogatz or Tao, it seems likely both of them will be fine however this pans out. But many more mathematicians have been toiling away in precarity and obscurity and without tenure for years and years. And of course many mathematicians went into private sector roles as software engineers, actuaries, analysts, ML engineers and similar, and have been displaced there, too.
And highly visible blog posts written by famous mathematicians with large audiences and closely aligned with the news and hype cycles getting frontpaged on HN doesn't mean that mathematicians are disproportionately whiney, nor that software engineers aren't also writing about their plight or ending up on the front page as well.
There are myriad circumstances where the values of most practitioners differ from the status quo, which is nevertheless well-entrenched. This can arise from inertia, or from outside forces, such as broader cultural milieu, integration with larger institutions, or contending with economic realities. If you think that these do not and haven't historically played a role in determining the job economy and that math is a pure field where mathematicians could comfortably shape it according solely to their own ideals then you are naive
Yes, you can be an amateur mathematician who manages to avoid such classes and may not know those results or objects, but if you haven't read and written down the name enough to avoid habitually misspelling it, you are outing yourself as a meat proxy unless you are dyslexic.
LinkedIn isn't alone here -- virtually every platform with an algorthmic feed penalizes both links and the obvious workarounds.
Not to defend the practice -- it's unfortunate because it trains younger users that attribution isn't important, it enables and incentivizes outright theft of content (good luck chasing down original sources after convincing yourself that it wasn't AI in the first place)
But humans still manage to wrangle these, sometimes seemingly effortlessly, through a process which we call by shorthand "taste". This is a largely vibes-based heuristic that combines expertise with life experience and cultural training -- intuition, more or less.
This is likely not possible to automate either -- aspects of it may be automatable for a given expert, in small pieces in narrow subsets of their particular domains of interest, but even those likely will require some manual intervention.
This is in part because it is, to a large degree, a black box, even to the expert deploying it. With some self-awareness and strong language skills we can articulate approximations of the judgements that go into taste. But even those will fall short, as even the most self-aware individual will fail to notice certain judgements and dependencies.
In practice many of these are not even explicitly articulable. Humans are idiosyncratic and messy and dynamic, and the suggestion that we can build a machine that approximates this in a way that pleases our sensibilities and doesn't require supervision is kind of ludicrous, even in light of recent developments.
It's a work of art
One of the points the parent makes, along with the TFA, is that academia -- or more specifically, the "mathematical community"-- is a setting primarily for creating and ingesting mathematical knowledge, and disseminating it to the next generation and to other fields. Humans absorb this material slowly, through lots of discussion and collaboration -- it is necessarily a slow process. Facilitating this is one of the important functions of academia. Your usage of academic as a slur here is a bit silly for this exact reason.
I don't claim it is perfect, and we can argue about pedagogy in elementary courses till the cows come home. That's not really material. But this is one of the only settings in which such knowledge is broadly valued for its own sake, and in which there is a semblance of incentive to help others "know" this stuff as well, be they future generations of mathematicians, science and math educators and communicators, practitioners in other fields, or genuinely curious amateurs.
https://www.sciencedirect.com/science/article/pii/S187705092...
hm [at / arroba] listen dot systems