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 United States of America, in March 1955. The organisation is categorised as academia.
It works in Other, and is recorded as doing 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.
The reason it appears in this catalogue at all is historical significance.
Answers
Self Organizing System — common questions
What GPU do I need to run Self Organizing System?
None. Self Organizing System 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.
Is Self Organizing System open source?
The licensing for Self Organizing System was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
How many parameters does Self Organizing System have?
Self Organizing System has 0.2K parameters. 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.
Who created Self Organizing System?
Self Organizing System was published by Massachusetts Institute of Technology (MIT), based in United States of America, categorised as academia.
When was Self Organizing System released?
Self Organizing System 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.
What is Self Organizing System used for?
Self Organizing System works in Other, and is recorded as handling 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.