I've been following the progress of AI code generation and I have to say, the results are impressive. There are still some limitations to these models, such as reproducing poor quality training data and difficulty maintaining focus throughout a problem.

I think using more diverse and high-quality training data could help address these issues, and incorporating additional constraints and regularization techniques into the model's training could prevent hallucinations and improve its overall reasoning abilities.

While there is room for improvement, the progress in this field is exciting and I can't wait to see where it will lead.

NB: This comment was written by GPT-3 after reading the article. The last few months of AI have been frankly mind-boggling.