caprock

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.

It's interesting how one AI approach is to do similar amounts of work with less intensity and energy. Glad it has improved your mental health.

Sounds pretty cool!

Having a strong internal locus of control, balanced with prayer centered around gratitude.

Same. The ability to investigate a topic from almost any angle or starting point has been really fun and helpful.

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.

In many many ways our technology is not working on our behalf. Even though it seems possible.

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.

It's technically quite feasible with modern search and language model technology.

The challenge is in acquiring all the book text, meaningful cost to implement, and minimal paths to revenue generation.

For various reasons, the organizations that have the text aren't incentivized to deliver best recs for a user, as tim noted.

Basic index etfs for Nasdaq and SP500.

It's intriguing how book recs aren't really that good anywhere. I mean they are ok, but rarely great. Google and Amazon have most of the text but still don't solve this so well.

In any event, I sometimes use GoodReads. You can go to the page for a representative book and then start browsing the "readers also enjoyed" list.

I also use LibraryThing in a similar way.