The bigger picture is that OpenAI o3/o4.. plus specialized models will blow open the doors to genome tagging and discovery, but that is still 1 to 3 years away for ASI to kick in.
While I kinda agree with you, I don't think we will ever find a meaningful way to throw genome sequencing data at LLMs. It's simple too much data.
I've worked in a project some years ago where we were using data from genome sequencing of a bacteria. Every sequenced sample was around 3GB of data and sample size was pretty small with only about 100 samples to study.
I think the real revolution will happen because code generation through LLMs will allow biologists to write 'good enough' code to transform, process and analyze data. Today to do any meaningful work with genome data you need a pretty competent bioinformatician, and they are a rare breed. Removing this bottleneck is what will allow us to move faster in this field.
