"I Don't Really Trust Papers Out of Top Labs Anymore" | Reacting to r/MachineLearning

The video discusses a Reddit post critiquing AI papers from top labs, focusing on issues of reproducibility due to high compute requirements and the influence of PR strategies. It highlights the challenges in reproducing results, the role of open sourcing, and cultural biases in AI research publication. The speaker calls for more diverse research promotion and better validation methods for large models.

What suggestions does the speaker have for improving the discourse around machine learning research?

What challenges do researchers face in getting their work published in the current machine learning landscape?

In what ways does the speaker believe that the current machine learning culture could be improved?