I don't know about that. Before founding PostEra, its founders published research about their model, which significantly outperforms human chemists (if you're

I don't know about that. Before founding PostEra, its founders published research about their model, which significantly outperforms human chemists (if you're interested in ML, it's actually a fascinating use of an architecture commonly used in language tasks): https://www.chemistryworld.com/news/language-based-softwares-accurate-predictions-translate-to-benefits-for-chemists/4010437.article https://www.chemistryworld.com/news/language-based-softwares... Thorn's flagship tool, Spotlight, uses NLP to analyze huge volumes of advertisements on escort sites and flag profiles that have a higher risk of representing trafficking victims. You would need an enormous spreadsheet and near infinite supply of dedicated humans to manually review and refine some sort of statistical model for scoring ads, as the volume of advertisements produced is insane. The same for the deep genomics companies. The size of data generated by deep sequencing is beyond a person's ability to pattern match, and the patterns are potentially complex enough that they may never be noticed by human eyes. And, again, this is just a small list of startups in particularly moonshot-y spaces.