The math is often behind me, I just try to visualize what I can. So I don't know how interesting this would be to you, but these folks are pretty good at math and trying to figure out what's going on in the latent spaces:
https://transformer-circuits.pub/
Author of the project here. Definitely appreciating the supportive comments. I'd be happy to answer questions folks have and am very interested in what kind of data folks end up visualizing with it!
one thing I love about DuckDB is that it supports Parquet files, which means you can get great compression on the data. Here's an examples getting a 1 million row CSV under 50mb and interactive querying in the browser:
https://observablehq.com/@observablehq/bandcamp-sales-data?c...
the other big thing is better native data types, especially dates. With SQLite if you want to work with timeseries you need to do your own date/time casting.
Mike Bostock will be doing an AMA at the end if you have burning d3v6 questions (though you can expect some more documentation on upgrading to come very soon!)
I'll also plug our other two speakers, Mike Freeman and Amelia Wattenberger who are amazing d3 educators & authors.
It's exciting that this is the first big online d3 meetup since the pandemic put a stop to in-person events, and as a consequence of being online anyone can participate!
I think this is why it is necessary to fund "searching for problems" research. We don't need to solve the 1970s vision of computing, we need to solve the 2020s vision of computing, whatever that may be.
Don't forget that programming languages get more abstract and hence more powerful with fewer lines of code. RealTalk has functions you can call to get the physical location of a piece of paper and being based on Lua makes it much more expressive than C++.
You can keep digging down levels of abstraction but the interesting parts of this system are extremely accessible.