Ciro Santilli has felt that perhaps what is missing in 2020's AGI research is:
- the interface between:The key question is somewhat how to extract symbols out of the space-time continuous experiences.
- the continuous/noisy level (now well developed under artificial neural network techniques of the 2010's)
- and symbolic AI level AI
- more specialized accelerators that somehow interface with more generic artificial neural networks. Notably some kind of speialized processing of spacial elements is obviously hardcoded into the brain, see e.g. Section "Grid cell"
Forcing these boundaries to be tested was one of the main design goals of Ciro's 2D reinforcement learning games.
In those games, for example:Therefore, those continuous objects would also have "magic" effects that could not be explained by "simple" "what is touching what" ideas.
- when you press a button here, a door opens somewhere far away
- when you touch certain types of objects, a chemical reaction may happen, but not other types of objects
Bibliography:
Unknown real developer name, claims to be from Canada on YouTube channel about: www.youtube.com/@TheBibitesDigitalLife/about, likely because he's a software developer and wants to keep his employer's claws away from his side project.
Appears to be closed source unfortunately, so not suitable for research.
Video 1. "What will happen after 100h of evolution? by The Bibites (2022)" mentions it was started five years ago, so circa 2017.
Appears to be Unity-based, if you download and extract for Linux you get files named
UnityPlayer.so.Author is named Leo Caussan in game credits at startup: www.linkedin.com/in/l%C3%A9o-caussan-560350136/, a Canadian software engineer.
Was not very Linux compatible: www.reddit.com/r/TheBibites/comments/vqk6ac/program_stalls_at_a_blue_screen/ Trying to run 0.5.0 leads to a blank screen after you click "start simulation".
This channel contains several 2D continuous simulations and explains AI techniques used.
The engine appears to be open source: github.com/Primer-Learning/PrimerTools (previously at: github.com/Helpsypoo/primer). Models are closed source however.
They have several interesting multiagent game ideas.
Ciro became mildly jealous of this channel when he found out about it, because at 800k subscribers at the time, the creator is likely able to make a living off of it, something which Ciro thought impossible.
As of 2022 he was at 1.6M followers with only 17 videos! Of course, much of those videos is about the software and they require infinite development hours to video time ratios.
Well done!
Created by Justin Helps. Awesome name.
To make things better, the generically named channel is also the title of one of the best films of al time: Primer (2004).
Bezos Academy is building a network of tuition-free, Montessori-inspired preschools in underserved communities.
Very good channel that gives some idea of the behind the scenes of working with card stores and secondary market trading.
Such lessons can have applicability in business and investment outside of the Magic The Gathering context as well. Yet another example that usefulness can come out of uselessness.
The approach of this channel of exposing recent research papers is a "honking good idea" that should be taken to other areas beyond just machine learning. It takes a very direct stab at the missing link between basic and advanced!
There are unlisted articles, also show them or only show them.