alxmrs

Really happy to hear that this isn't new – with citations. I am a fan of rain :) Thank you for the references. I'm looking to build a real production system that could be used by scientists and data practitioners, grounded in a academic perspective. So, all this prior art is very helpful.

> Sadly not, but you can get a long way before you find the limits.

I'm really curious to know what the limits are! If you have a good understanding of these, I'd love to hear your perspective. I do think it's valuable to be able to spill out to the array paradigm, and that a project like Xarray-SQL lets users choose the best tool for the job.

I am a fan of Differential Dataflow, though I don't know the system too well. I'll take a closer look when I can.

I need to better understand your first question before I can comment. In theory, we could work with MADlib too -- what we do is port scientific data, which typically is a "tensor" or Nd array, into a tabular view. I believe you know relational theory better than I do, I am still fairly new to the field.

WRT ISO/IEC 9075-15:2023: This is the standard established from rasdaman, IIUC. I reject this approach (which treats arrays as a column type), and instead adopt one inspired by Michael Stonebraker's SciDB (which treats arrays as tables themselves). For an in depth review of the topic, I recommend this NSF paper: https://par.nsf.gov/servlets/purl/10545560

Totally. I can’t wait to take this to https://hytradboi.com

I would have had the same gut reaction as you lol.

You’re spot on. I think that SQL, as a data oriented and logic PL, might be ideal for writing tensor programs.

Shameless plug: I built a static site generator with Pandoc and shell (with RSS support!).

https://github.com/alxmrs/pandoc-website-template

Brett Victor’s perspective is as relevant as ever: http://worrydream.com/ClimateChange/

I’m so happy you asked about this! Check out https://sites.research.google/weatherbench/

gzip & knn

https://codeconfessions.substack.com/p/decoding-the-acl-pape...

In cases like these, I use multiple personas in Chrome (I think Firefox has user profiles) so I can log into my personal accounts on my work computer while still keeping everything compartmentalized.

The artist behind the band Toro y Moi has a great site: https://chazwick.com/

I would love to see a LM generate sonic-pi scripts which generates music.

It sounds like Blake is experiencing micro aggressions for his beliefs, based on the evidence in the article. However, that is not the same as discrimination. It seems like he is suffering from not experiencing a privilege that he is used to having.

While in tech, I do believe religious people are in the minority, they still make up the hegemonic norm in the US. An article like this can appeal to a much larger majority outside of the intended technology audience.

Similarly, I would love it if Pandoc’s AST were supported. Or, if this could be extended to compare any documents taking formatting into account, or document-to-document conversions.

My favorite infrastructure abstraction tool in this category is Apache Beam. I like that it lets you think in Python and an explicit Map Reduce DAG. Serialization errors are a bear to deal with. But, the power and composability of the framework make it nearly addictive.

once you’re in research in a faang, it seems much easier to stay within research. teams have an easier time filling head count from within the company than externally, so transfers are common, and encouraged. getting your foot in the door there could mean you’re in a much better position to join a team on another applied project that you care about. one caveat might be: if you’re heart is set on inventing something totally novel, or without any potential product basis, then grad school is your best bet.

i recently traded in my dell xps with ubuntu for a macbook air, because:

- the arrow key / page up and down placement on the keyboard led me to jump all over the page when typing

- the camera was placed at the bottom of the screen, which looks super unflattering (an issue of importance in an all video conferencing world)

- unexpected ubuntu on the hardware quirks that i had to deal with before getting to the coding that i wanted to do

- M1 is _fast_. it makes everything feel like lightning.

the nyts offered a good explanation for this in january [1]. the general idea is that white collar workers’ usual discretionary spending was diverted into the stock market.

[1] https://www.nytimes.com/2021/01/01/upshot/why-markets-boomed...