If you have a draft, keep it to yourself. Use it as a personal reference when writing the design, or share snippets. Other engineers will realize you have a draft, business people won’t.
I'm with the people who decided to ship this. The organization will need to fund more maintenance than they would if they waited, but that has real costs. And "keep your 1mm/revenue idea to yourself" doesn't sound like a healthy engineering culture either.
Not sure if there is some way to iterate given online feedback. Like, write a book from the pale, male, and stale point of view. Use an LLM to gather feedback on what people criticize. Then write almost the same book again, from the POV of a different character, taking into account interesting criticisms.
However, it may be better for a successful author to just get away from these hyper-online criticism spaces and write what they want to write, as long as they've got books lined up they're already excited to write.
There have been a some novels and novel-length works written a chapter at a time in public. The Martian by Andy Weir, for example is probably the most commercially successful. Many works by qntm (https://qntm.org/fiction) that are popular in this community have been written that way too.
I just don't understand how they still have users.
Because this post is here and not somewhere else. Strong network effects.
I think the same is true of war crimes in wars - enough of the worst type of things have really happened, and been documented, so there's nothing on the face of it that is outlandish if you heard a new report of such a thing.
But how about deaths in suspicious circumstances like this one? Is there a historical record of these kinds of things being carried out, especially in the western world, in circumstances where the motive is corporate self-interest? What's the most clear cut case we have of something falling in that falls into (for lack of a better term) the Michael Clayton category?
> The curse of dimensionality is not theoretical — it’s painfully practical. In high dimensions, naive distance metrics degrade quickly.
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> Scaling and normalization are not optional details. They fundamentally shape the geometry of the space.