Recently OpenAI released GPT-4o-mini — a new flagship model for the cheap segment, as it were.
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.
I continue participating in World Builders school. For the last month, I've created a technical prototype of game mechanics for manipulating public opinion.
You play as the chief editor of a news agency, who sends journalists on quests and publishes articles based on the results of investigations focusing on themes that you want to promote.
The top video is in Russian, so I'll go through the main points below.
From the player preference survey, I gradually moved on to working on a game prototype.
The game will be about a news agency. You will be the chief editor, and your task is to manipulate public opinion by investigating events and choosing a connotation of news: where to draw the public's attention, what to hide, in what tone to present themes, etc.
Therefore, the whole game will be around the text of news.
Creating large blocks of detailed text for each news item looks pointless — the game is not about reading news but about managing them. Therefore, it makes sense to build interaction only around headlines.
But how can we make the displaying of news both interesting and simple?
Recently I asked you to fill in a survey about strategy games.
Thank you to everyone who took the time to do this. It's time to share the results.
363 respondents filled in the survey. 304 answers remained after data normalization and cleaning.
There will be two posts: