> a database that predicts the effects of every possible single nucleotide variant in the human genome. We used the AlphaGenome AI model to pre-calculate the regulatory impact of all 9 billion single-letter genetic changes, resulting in a massive, 1-petabyte dataset.

This is for a database, no? While Borzoi is a model?

> Here, we introduce Borzoi, a model that learns to predict cell-type-specific and tissue-specific RNA-seq coverage from DNA sequence.

https://www.nature.com/articles/s41588-024-02053-6

> Meanwhile, everyone in the field of genomics knows that AlphaGenome provides essentially zero improvements over the previous SOTA, Borzoi…

Can you elaborate on this? I'm confused why Google would build something that provides zero improvements over SOTA, Borzoi... as you mention. I'm not familiar with this field, just curious.

They did benchmark the model and beat the SOTA on every metric though

Is it so bad to have another entrant, especially with the resources Google could bring to bear?

Imagine if the Apple EV had actually happened, you think the EV enthusiasts would roll their eyes like you are?

Are you really taking a holier than thou approach on a google article?