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Nimchimpski Server
I studied philosophy and physchology, which I guess has led me to be very interested in algorithmic biases and alignment.
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Minimax This is the minimax algorithm, used in a game of 'noughts and crosses'. It has alpha-beta pruning to reduce the search tree and improve efficiency. The board state is stored in an sqlite database. (more details on the page)
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Q-Learning So you beat the minimax algorithm at noughts and crosses? Now try this Q-learning algorithm, where the machine taught itself. (more details on the page)
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Avatar Network
This project was completed when chatgpt was still very simple. The idea was to give users a customisable chatbot as an avatar (potentially modelled on themselves). Each can be given memories, with a corresponding publicly shared 'knowledge domain' (accessable to each avatar). A function decides if the recieved user prompt necessitates (1) a call and search in its memories or (2) a request to another avatar to do likewise (a call for help!). It is possible to chat with other avatars. -
And some of my websites...
oneclearshot my photography and electronic music
Gsnowboarding snowboard instructor website
- Finished projects to be added here soon...
DFS, BFS, A* Search: Animated maze solving
Logical Inference: game.
Constraint Satisfaction.
Convolutional Neural Network: image recognition, with live testing.
Transformer Neural Network: visualisation of attention mechanism with regards to sentence word order.
This could be an interesting area to work on, in terms of alignment. Ideas of gestalt could prevent the paperclip maximiser problem? Demonstrate how meanings are spread through a multi-dimensional vector space? To me this is a good foil to anthropomorphising....I'm unlikely to wonder 'what if feels like to be a nested list of numbers'.
- All project code is at https://github.com/nimchimpski
- If you like music and sounds at the experimental end of the spectrum, you can check out (or buy one of!) my projects on Bandcamp at https://noderandori.bandcamp.com/track/connected
some code video demonstrations here
and some (very) past video projects here
Thanks for visiting!