Self Organizing System
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- Massachusetts Institute of Technology (MIT)
- Organisation type
- Academia
- Country
- United States of America
- Published
- 1 March 1955
- Authors
- W. A. Clark and B. G. Farley
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Other
- Task
- Pattern recognition
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Parameters
- 0.2K
- Training data
- 2 tokens
Figure 4 contains the learnt weight matrix
" The modifier was then disabled so that no further changes in the net could occur and all 256 possible input patterns were then presented in turn." "For these purposes, 16-element nets (8 input and 8 output) were used because it was desired to exhaust all possible input patterns, and we were limited to about 2^8 inputs by available time. "
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Why it is tracked
- Historical significance
- Citations
- 93
Sources
Where this record came from and when it was last checked.
- Reference
- Generalization of pattern recognition in a self-organizing system
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
Self Organizing System was published by Massachusetts Institute of Technology (MIT), in the country recorded as United States of America, during March 1955. The publishing organisation is categorised as academia.
It works in the domain of Other, and is recorded as performing the task of pattern recognition.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
What went into building it
The training set ran to roughly 2 tokens of text.
The reason it appears in this catalogue at all: historical significance.
Answers
Self Organizing System — common questions
Self Organizing System— what GPU do I need to run it?
None. This is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
Self Organizing System— is it open source?
The licensing was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
Self Organizing System— how many parameters does it have?
It has a parameter count of 0.2K. Figure 4 contains the learnt weight matrix. That figure is the total, and it is what decides how much memory the model needs — roughly half a gigabyte per billion at the compression most people use.
Self Organizing System— who created it?
It was published by Massachusetts Institute of Technology (MIT), based in United States of America, an organisation categorised as academia.
Self Organizing System— when was it released?
It was published in March 1955. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
Self Organizing System— what is it used for?
It works in the domain of Other, and is recorded as handling the task of pattern recognition. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.