AI for biology splits into “AI scientists” and harder problems that need wet-lab validation
rishabh16_ · x · 2026-07-27
The post argues that AI for biology splits into two tracks: building “AI scientists,” and tackling harder problems that require new AI ideas plus wet-lab validation. For the harder track, the author says the field should actively bring in top CS students and train them in biology, citing parallels from bioinformatics algorithms such as sequence alignment and assembly.
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