ML in Astronomy

The conversation highlights the evolving role of machine learning in astronomy and biology, noting that while ML is increasingly influencing drug discovery, it hasn't yet revolutionized astronomy to the same extent as in natural language processing. The challenge lies in defining outcomes and loss functions that can be directly correlated to tangible benefits, unlike the clear monetary implications seen in NLP tasks like translation.