Few things are all or nothing in life. There are many forms of retrieval and many conditions for their use. In some scenarios it is helpful to have retrieval with LLMs and other times less so.
Agreed that it's an underserved market (personal genome sequencing).
Do you own or have access to a sequencing platform / machine? Or do you just buy and prepare kits, and then send the prepared sample out for sequencing?
Roughly agreed. I'm a bit baffled when it seems like someone is having long conversations with multiple tasks and loads of add-ons. I generally have one or two iterations and then a new session.
I'm using another tool, not claude code, but I don't think that matters much.
You might look into applying RL in the domain of low cost robotics and drones. That would draw on some of your past experience but applied to a domain (robotics) which I perceive is seeing renewed interest.
I find value in learning some things deeply but not all things.
The ability to be more selective about where I attend deeply, while leveraging fast shallow learning to complete other tasks... That seems like a potential benefit and a nice choice to have in the toolbox.
Spot on. The ultimate bottleneck is no longer generation; it's verification.
If you don't intrinsically know what 'right' looks like, AI simply helps you build the wrong thing faster. This internal compass is exactly what I meant by 'taste' in the original post.
