## Feasibility of Training an AGI using Deep Reinforcement Learning: A Very Rough Estimate

Several months ago, we were presented with a scenario for how artificial general intelligence (AGI) may be achieved in the near future. We found the approach surprising, so we attempted to produce a rough model to investigate its feasibility. The document presents the model and its conclusions.

The usual cliches about the folly of trying to predict the future go without saying and this shouldn’t be treated as a rigorous estimate, but hopefully it can give a loose, rough sense of some of the relevant quantities involved. The notebook and the data used for it can be found in the Median Group numbers GitHub repo if the reader is interested in using different quantities or changing the structure of the model. If the reader is interested in a more general approach based on the rate of theoretical progress, see our Insights model.

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