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You need to do some serious work on your presentation, both in your write-up here and in what you show on your homepage.

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!


Am I the bad guy here - I felt great to hear more than just about the features. It's supposed to be adding a cultural backstory, it's not a rocket that the guy is building.

Thank you. It's a fair criticism, and I'll take note.

For the landing page, that's good to know. I didn't catch that, and I need to fix it, though I could definitely use your help with some specifics, if you're willing. I linked straight to the trial page. Is your criticism about that page, specifically, or about the home page?

What came out here that did not come across over there? Not speaking to design elements, but what could have told you it does more?


Rambling is allowed on hobby projects

I remember seeing a clip of him describing Hollow Knight as "wow, I am in a different room now, cool" and saying such games weren't for him. I understand what he meant in the sense that I know he is very mechanics-focused and is far more interested in plumbing a small number those to their deepest depths, where HK has many comparatively shallow mechanics but with a rich space of interesting interactions -- generally this is what you want in a game where exploration and world building are more central.

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


What's especially funny about his dislike for Hollow Knight is that it was partially funded by the Indie Fund, which Blow is a founding member of.


I found that there's Blow the Twitch streamer and Blow the interviewee/presenter.

On Twitch he would often give short "hot takes". However, when he takes time to actually enunciate his thoughts, suddenly it makes sense what he means.

E.g. IIRC he came off as very critical of Blue Prince, but then on Wookash Podcast (?) he talked about how he would probably do the same decisions within same constraints, and how it was a great achievement for a small team even if the game wasn't for him


I mean, many companies operate within particular domains but don't have much skin in the domain itself in a way that is meaningful to other participants there -- like Oracle builds software for healthcare, ostensibly, but any actual user of their products will tell you they are nightmarish with regard to usability, and research shows that patients are often harmed as a result. So healthcare isn't their game, it's selling healthcare software.

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


OpenAI most certainly have a "skin" in math and physics.

They hire math and physics grads and good command of math is very useful in computer science, machine learning and AI.


What qualities do the recruiters at OpenAI value in the mathematics and physics graduates that they hire?

And how do you see these qualities changing over, say, the next decade?


OpenAI is concerned about math and physics insofar as these skillsets enable their current staffing model. That is not exactly durable.


There are orders of magnitude fewer mathematicians with full time academic positions than there are software engineers. The economics are different and consequently academia tends to be more slow moving in reacting to market trends. It doesn't mean it isn't coming, but it will look somewhat different

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.


Mathematicians aren't homogeneous. There are mathematicians valuing pedagogy, collaboration, bridge-building, theory building, along with those that chase the 'difficult theorems', to name a few, and there are lots of flavors within each class, with lots of blending and blurring. You infer that mathematicians prefer the status quo simply because it is the status quo -- with a little thought, you'll recognize that this is a fairly silly notion.

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


And, in addition, many mathematicians are graduate students or postdocs hoping to line up a permanent job soon.

For example, if you look at Terry Tao's blog, he has a tremendous amount of first-class expository writing. So, too (to some extent) do junior mathematicians -- but, unfortunately, this tends to not be highly valued by the job market. Grad students and postdocs have learned that to succeed they need to play by the existing rules of the game.

Well, the board has just been yanked from underneath them. People like me can afford the sort of idealism and soul-searching that the parent comment describes, but junior mathematicians face a very unenviable set of circumstances.


It's just a name you write so many times as a math undergraduate or first year graduate student due to the number of load bearing results and objects named for him. The name even appears in lower division coursework

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.


I regularly heard lots of names during my 3 year math undergrad degree. I couldn't remember how to spell many of them then and can spell fewer now. I imagine most people on the course were similar, and me nor no one I knew were dyslexic.

Mostly we wrote initials in our notes and the exams didn't ask about them. The lecturers only wrote initials on the chalkboard after maybe writing the name once when introducing it the first time. We weren't there to do mathematical history and remember names or something.

Google existed then and now and we could look them up if needed.


Not to mention it's got that signature Claude Clutter UI design


Except that Claude wasn't used.


Probably Copilot then


Interesting how perceptions differ. My first thought was “Wow, that’s well designed for a math website”.


As someone who sometimes helps companies figure out content strategy, I am sorry to say that it is not true that linking in comments is safe -- this tends to penalize your post nowadays.

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)


Judgments are not generally impossible to automate -- judgements are typically binary or quantifiable interpretations, so in some sense are perfect targets for automation, but the sheer volume of judgements needed to build something coherent is overly cumbersome to specify to the point of being intractable. There are also many hidden judgements, ones where the thresholds may not be well understood, and interactions between them.

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.


You don't need to describe it; just show samples of the style you want to achieve. Of course it's not perfect, but it's easier than describing it.

I have my own theory about why it's impossible to remove the human from the loop:

1. Any task emerges from a need, from a human context. We need the human to pay and assume the risks and costs of using the model. So intent emerges from context.

2. While the task is being worked on, constant interaction with the context is needed, for action, for feedback, and for steering.

3. At the end of a task, consequences accumulate in the context, they don't fly to the model provider. The cost, risk, liability, gains and losses remain there.

So the LLM is great except for the start, middle and end of a task. Contexts are humans, teams, projects, and they are maximally distributed, you can't copy a context, it is indexical and relational, just as you can't copy my phone number or eat for me.


Taste is just a set of statistically expressible heuristics for what other people will think is good. I don't undestand why you think this is impossible for AI to do.

It feels like today, taste in design is similar to where software engineering was about a year ago.


The certitude with which you condemn your peer without the slightest consideration for subtlety or alternate explanations for what you've understood to be true -- this comment is such a beautiful encapsulation of the state of discourse today. In some ways it is the modal comment of the moment. Tastelessness and mediocrity and inability to grasp nuance or feign at humility are on full display, not to mention a fantasy for violence

It's a work of art


> Tastelessness and mediocrity and inability to grasp nuance or feign at humility are on full display, not to mention a fantasy for violence

You are doing the same thing, very ironic. At least I'm not the one trying to act like I'm on the moral high ground.


How is that the same thing at all? You didn't understand the comment you replied to and were confidently wrong. The person replying to you understood what you were saying very clearly and didn't make any ridiculous "you may not last long" comments like you did...


You're taking this far too seriously. You'd think I'd committed a terrible crime or something. Give it a break.


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