Unrecorded-weight games models from United States of America
7
Models
5 organisations
—
Open weights
0 open, 0 closed
3
Frontier
By Epoch's flag
—
Largest traceable
No traceable figure
1959–2017
Span
0 with a traceable size
Records
7| Model | Organisation | Released | Parameters | Weights |
|---|---|---|---|---|
| OpenAI TI7 DOTA 1v1 | OpenAI | 2017-08 | — | Not recorded |
| A3C FF hs | 2016-02 | — | Not recorded | |
| Advantage Learning | Google DeepMind | 2015-12 | — | Not recorded |
| DQN-2015 | 2015-02 | 2M * | Not recorded | |
| HyperNEAT | University of Texas at Austin | 2014-03 | 239,712 * | Not recorded |
| TD-Gammon | IBM | 1992-05 | 25,000 * | Not recorded |
| Samuel Neural Checkers | IBM | 1959-07 | 16 * | Not recorded |
An asterisk marks a parameter figure the source does not consider traceable to the people who built the model. That judgement is the source’s and it has false negatives: Kimi K3 is marked speculative at 2.8T while Moonshot’s own model card states the figure. Why that distinction carries the whole exhibit.
Counts are of models Epoch AI records as notable, not of every model released. The most recent month is always incomplete, because a model enters the dataset when it is reviewed rather than when it ships.
Epoch AI, 'Data on AI Models'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/data/ai-models-documentation' Used under CC BY 4.0.