Ahoy, engineers!
As you have probably guessed by the picture, the next content update of Learning Factory is not ready yet.
It's not because we're lazy (we've got cats to be lazy for us), but because that update is probably gonna be massive.
You see, we were planning to make tile generated maps. But then we thought: what's the point of making procedurally generated maps without Freeplay Mode?
So, now we're making that Freeplay Mode, too.
As for the maps, here's how they look in the current version (any Dwarf Fortress fans here?):
That's because our artist is still working on procedurally generated landscape art. It's not in the game yet, but it looks mesmerizing already:
In case you'd like to go into technical details, those landscapes are generated with Blender's geometry nodes feature. Here's how the algorithm looks (any while True: learn() fans here?):
So as you can see, we've been busy! Unfortunately, we still can't put a release date on that very peculiar update. Fingers crossed, we're expecting it to come out in 2-3 weeks. We'll keep you posted!
In other news: a working chat joke has gone too far and generated this image of a Drill-Riding Cat. Please don't ask us how did we come to this. That was not supposed to have happened. Nobody asked our artist to draw it, but he did anyway:
We don't have plans for implementing this beautiful creature into the game just yet, but if you insist, you're very welcome to go to our Discord sever and upvote it into existence!
That's it for today! Follow the updates, greatness awaits! Glory to science! Glory to KOTOVOD!
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How to Get More Involved
Going to Early Access is but the first step to glory (and eternal cat happiness). Wanna be part of what happens next? Head to this blog post and learn how to help make the game even more awesome!
Share Your Gameplay and Become Part of KOTOVOD History
Learning Factory needs your help! Record a 10 or more minutes of you playing the game, share a video using any way you see fit, write your name into Learning Factory credits and get a promo cat! Make history here
[ 2021-03-25 16:15:36 CET ] [ Original post ]
- linux [577.48 M]
It's all part of perhaps the most important quest: trying to understand what your cat REALLY wants. Do you want that door opened? Or closed? Understanding such complicated creatures cannot be done without analyzing huge amounts of data and building a neural network. And there's just a place to go for all that.
Welcome to what once was the largest research site of cat behavior in the world: the now-defunct KOTOVOD Learning Factory. It was built to process the insane amount of data about cats and their habits. The project was shut down many years ago and now it's up to you to bring the mighty KOTOVOD back to its former glory
- Construct cat-entertaining facilities to collect data about furry creatures
- Analyze the data with Machine Learning to find features and create better quality stuff for your pets
- Automate and optimize KOTOVOD: you can never make cats too happy, you know
- Learn how machine learning works by studying whimsy cats
- Add to your wishlist
- Sign up for Free Alpha via Discord or by email
Out first game about Machine learning
https://store.steampowered.com/app/619150/while_True_learn/What is machine learning?
Machine learning is a real-world technology that helps us to predict the future. This technology is covered with tons of mysteries theories but how exactly those predictions are made? In this game, you will use real machine learning from the simplest things to extremely complex ones. You will see that there is no dark magic here.Digital Factory
Everyone can easily imagine a regular factory, but what is going on inside a “digital factory” like Amazon or Google?) How they understand what to offer, how to attract users, how reviews influence their business? We want this tycoon/sim game to help people learn more about digital factories, machine learning tech, and digital marketing.- OS: Ubuntu 16.04+. SteamOS
- Processor: 2.0 GHzMemory: 2 GB RAM
- Memory: 2 GB RAM
- Graphics: Intel HD Graphics 3000
- Storage: 500 MB available space
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