[dmckinno]

This was not intended to be a technical post (obvious I hope).

I'm planning on getting one out in the next few weeks characterizing the system and how it performed on real clinical use-cases vs. alternatives and existing tools.

The TL;DR is that Gamow Labs is a harness and interface company on top of SOTA LLMs as you suggested, but my harness and interface outperforms the existing thing. While this approach would have earned me the "wrapper company" label last year, I hope the success of OpenEvidence, Harvey, Perplexity, and so on has opened minds with respect to the value here.

It was only working through clinical cases that I realized how much more I needed beyond dropping raw reads into Codex.

[wasabi991011]

Can you say a little more about how current genomic techniques rely on human interpretation? Is that mostly where you use an LLM (to act human-like), or is your approach different than that?

[dmckinno]

Current genomic techniques involve humans using a lot of different software (search, ranking models, visualizations, alignment algorithms, etc.) and synthesizing the results manually into a diagnosis.

Your assumption is correct about my technique. I cloned (and expanded) this workflow into an LLM harness, so the LLM is basically orchestrating a bunch of tools that normally humans would use (and writing the conclusions and doing all the standard LLM stuff).