The AI Scientist


"The AI Scientist 
  • Generates novel research ideas, 
  • Writes code, 
  • Executes experiments, 
  • Visualizes results, 
  • Describes its findings by writing a full scientific paper, and then 
  • Runs a simulated review process for evaluation. 
"In principle, this process can be repeated to iteratively develop ideas in an open-ended fashion, acting like the human scientific community. 

"We demonstrate its versatility by applying it to three distinct subfields of machine learning: 
  1. Diffusion modeling, 
  2. Transformer-based language modeling, and 
  3. Learning dynamics. 
"Each idea is implemented and developed into a full paper at a cost of less than $15 per paper. 

"To evaluate the generated papers, we design and validate an automated reviewer, which we show achieves near-human performance in evaluating paper scores." 


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