Places to discuss Feeds Fun
I continue developing my news reader: feeds.fun. To gather information and people together, I created several resources where you can discuss the project and find useful information:
- Blog blog.feeds.fun
- Discord server
- Reddit r/feedsfun
So far, there is no one and nothing there, but over time, there will definitely be news and people.
If you are interested in this project, join! I'll be glad to see you and will try to respond quickly to all questions.
Preparing a business plan for a game on Steam
Earning millions is easier than ever. I'll tell you how :-D
When I posted my final presentation [ru] (slides) for World Builders 2023 (my posts, site), I promised to tell how I made a roadmap and a financial model for the game. So, here they are.
At the end of this post, we will have:
- A brief strategy of our company: what we do, how, and why.
- A table with our beacons — successful games roughly similar to what we want to make. Similar in gameplay, team size, budget, etc.
- A composition of the team we need to assemble.
- A roadmap — a development plan for our game.
- An outline of our marketing strategy.
- A financial model — how much we will spend, how much we will earn.
- A large number of my caveats throughout the post.
- Jokes and
I hopewitty remarks.
All the final documents can be found here.
Migrating from GPT-3.5-turbo to GPT-4o-mini
Guess when I switched models.
Recently OpenAI released GPT-4o-mini — a new flagship model for the cheap segment, as it were.
- They say it works "almost like" GPT-4o, sometimes even better than GPT-4.
- It is almost three times cheaper than GPT-3.5-turbo.
- Context size 128k tokens, against 16k for GPT-3.5-turbo.
Of course, I immediately started migrating my news reader to this model.
In short, it's a cool replacement for GPT-3.5-turbo. I immediately replaced two LLM agents with one without changing prompts, reducing costs by a factor of 5 without losing quality.
However, then I started tuning the prompt to make it even cooler and began to encounter nuances. Let me tell you about them.
About the book "Piranesi"
Cover of the book "Piranesi"
"Piranesi" is both a continuation of the magical stories of Susanna Clarke and an independent book.
The book has no direct connection with the world of English magic [ru] from "Jonathan Strange & Mr. Norrell". If desired, one can find a connection and even say that the worlds are the same, only at different times: the events of "Piranesi" take place in the early 2000s. However, the author did not give any hints on this. Therefore, I consider the worlds to be different for now.
Susanna continues to persistently and effectively dig not even in the direction of animism as the basis of world perception but in the direction of extremely holistic view of the world, in contrast to the currently dominant reductionism.
The latter blows my mind. As an engineer, I'm an intuitive reductionist due to professional deformation. Reading "Jonathan Strange" and "Piranesi", I felt how Clarke, like Peter the Great, cuts a window in my brain to another picture of the world, a different world perception. And it's wonderful.
By the way, don't confuse holism with, say, an engineering view of the world, a-la systems engineering [ru] or even science. The latter is about decomposing reality into isolated parts with clear boundaries and synthesizing "pure" models of the world [ru], while in holism, the parts have no clear boundaries and penetrate each other.
But it is my interpretation, there are interpretations when holism is just an alternative name for a systems thinking/view — it's hard to find literature on this topic now, so it's hard for me to say where the truth is.
So, "Piranesi"
Dungeon generation — from simple to complex
What we should get.
This is a translation of a post from 2020
This is a step-by-step guide to generating dungeons in Python. If you are not a programmer, you may be interested in reading how to design a dungeon [ru].
I spent a few evenings testing the idea of generating space bases.. The space base didn't work out, but the result looks like a good dungeon. Since I went from simple to complex and didn't use rocket science, I converted the code into a tutorial on generating dungeons in Python.
By the end of this tutorial, we will have a dungeon generator with the following features:
- The rooms will be connected by corridors.
- The dungeon will have the shape of a tree. Adding cycles will be elementary, but I'll leave it as homework.
- The number of rooms, their size, and the "branching level" will be configurable.
- The dungeon will be placed on a grid and consist of square cells.
The entire code can be found on github.
There won't be any code in the post — all the approaches used can be easily described in words. At least, I think so.
Each development stage has a corresponding tag in the repository, containing the code at the end of the stage.
The aim of this tutorial is not only to teach how to generate dungeons but to demonstrate that seemingly complex tasks can be simple when properly broken down into subtasks.