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  • The linked document contains a collection of AI Forecasting research ideas, prepared by some Epoch employees in a personal capacity
  • We think that these are interesting and valuable projects that research interns or students could look into, though they may vary in difficulty (depending on your background/experience)
  • This is the result of a quick brainstorming and curation, rather than a thorough deliberative process. We encourage a critical outlook when reading them
  • You may also be interested in these other forecasting research ideas suggested by Jaime Sevilla 
  • You can use Epoch’s database as a resource for finding notable machine learning papers with parameter, compute, and dataset sizes. On Epoch website you can also find our past researcha tool for visualising the dataset, and some other tools like this compute calculator.
  • Please feel free to contact us for clarification about these questions!
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> Re: "Extrapolating GPT-N performance" and "Revisiting ‘Is AI Progress Impossible To Predict?’" sections of google doc

Read Section 5.6 titled "The Limit of the Predictability of Scaling Behavior" of "Broken Neural Scaling Laws" paper: 

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