You might want to try this new logseq though, if the devs have not burned all your goodwill. You can use it with a markdown mirror (it's a feature under settings) so you keep you same notes in markdown as well.
It's open-source, really well designed, local, you can even self-host sync...
But: the devs make questionable decisions that makes the development roadmap quite bumpy. It should ease up.
I do version control by exporting the .edn (a serialized file that contains all nodes) and using git.
All of that is very alpha (to be honest, I don't understand them releasing a beta now). You need to hang in the discord from time to time to make sure you do not miss a thing. I think my note app being open-source is pretty important to me that I still deal with that.
Though because of this tagging thing, it seems very "AI-ready" in the sense that queries are naturals as some block have an identity.
An example: I have a tag called job-application which has a status (like a checked box) for applied, in-process, awaiting-input, discarded, ... and I have a tag for the pages that corresponds with my research projects, with status (published, chased, forgotten, ...) and some information (GitHub, collaborators, ...).
there are views that summarize this (all projects, all jobs application)
When I mention a person in my journal, it's very easy to see how my last meeting with them went and all.
I don't use sync, I've been told it works really well.
EDIT: I forgot to say you can enable a markdown-mirror and have one way sync (DB->MD) which is very convenient for agent, or if you like markdown.
I've been using Logseq DB (this new version, as a nightly, for a year) and it's a really great concept, way better than anything I tried for notes and organisation. You can apply tags to blocks, which make them a kind of thing (a project, an author, a quote, a thought). It is very fast, and easy to learn.
I switched to it from Apple Notes + Obsidian (I've used logseq MD in the distant past). I have to say though that there are still some rough edges in the current developments and many concepts are still half-baked (Assets, Library).
I still use it because with it, I take more notes and retrieve them better, which is really convenient. The barrier to jotting something down is very low. I think the dev have really hit a sweet spot so I hope they can polish this application as it should be.
We are also looking for visualization ideas beyond curve/time series.
* Does a comparison with last year help (flu activity is 10% more than last year)?
* Should we remove the median from the display?
* How hard should it be to check multiple models?
Otherwise, this is a preset link to see the ensemble (the consensus of most models) and our model (influpaint, a diffusion model) and flusion (avery good model by UMass) performance last year:
josephlemaitre.com