I think it's accurate to characterize the project as bio-related work: https://github.com/COMBINE-lab/salmon

> salmon is a wicked-fast program for highly-accurate, transcript-level quantification from RNA-seq data. It pairs a fast mapping stage — selective alignment, or alignment-free sketch mode (--sketch) — with a massively-parallel statistical model (EM/VBEM over equivalence classes) to estimate transcript abundances. You can give salmon raw sequencing reads, or regular alignments to the transcriptome (an unsorted BAM), and it uses the same inference engine either way.

Got it, so all those advances in medicine we were promised in exchange for higher electricity costs, global warming, and other pitfalls of AI were bunk?

It's also data that Anthropic likely scraped and included in their training data.