Large-scale pre-training is not specific to chatbots. There are undeniably a huge range of beneficial uses for machine learning: language translation, video transcription, material/product defect detection, weather forecasting/early warning systems, OCR, spam filtering, protein folding, tumor segmentation, drug discovery and interaction prediction, etc.
"simply don’t train anything" does not seem ethically (many models have the potential to or already are improving lives), politically (staying in the lead is currently seen as an important issue), or legally (as noted in this brief, "the ultimate test of fair use is whether the copyright law’s goal of ‘promoting the Progress of Science and useful Arts’ ‘would be better served by allowing the use than by preventing it.’") viable to me.
alt Hacker News
Large-scale pre-training is not specific to chatbots. There are undeniably a huge range of beneficial uses for machine learning: language translation, video transcription, material/product defect detection, weather forecasting/early warning systems, OCR, spam filtering, protein folding, tumor segmentation, drug discovery and interaction prediction, etc.
"simply don’t train anything" does not seem ethically (many models have the potential to or already are improving lives), politically (staying in the lead is currently seen as an important issue), or legally (as noted in this brief, "the ultimate test of fair use is whether the copyright law’s goal of ‘promoting the Progress of Science and useful Arts’ ‘would be better served by allowing the use than by preventing it.’") viable to me.