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@lupyuen "Tools like linters for dynamically typed languages will never reach the power and correctness of a static analysis built on a well typed language"

while the author has best intentions, it's very noticeable that they're trying to fit a square in the triangle hole with compilation and static analysis

this is (and has been for a long time) a very long, mostly religious and skewed to my taste, endless discussion. My belief is that you can achieve same code maintenance (if there would be a single way to measure it) with or without a static compiler

Julia is designed at the core to be hackable in the same language without having to pay either runtime performance or learning a separate language (with a now questionable model for memory handling)

Maybe we can say it's an outdated statement after all these years, but it does keep its promise. You can handle fixes/patches/forks for 3rd party code in and with the same setup for your original project. The interpreter has plenty of tools for this and it's properly documented

There are other details (like how the dispatch system is great for writing algorithms rather than implementations, see invidious.projectsegfau.lt/wat ), although I'm not good at writing long replies or blog posts... I'm open to discussion over tea

@lupyuen interesting point about AI cannibalism relevant to #SAGAFTRA and #wga...

"Content cannibalization is more of a risk to the future of AI itself; something that threatens to ruin the functionality of tools such as ChatGPT, which depend upon original human-made materials in order to learn and generate content."

techradar.com/computing/artifi

Watch what happens when we boot Yocto and Armbian on @PINE64 Star64 SBC, based on StarFive JH7110 SoC

Article: lupyuen.codeberg.page/articles

@jared

Sounds like you haven't worked in large organizations that indeed have a lot of wasteful meetings.

I was once at Morgan Stanley, in IT, and just about everyone had fully booked calendars, so if we attended all meetings, production&deployment&support would halt to a standstill.

And from my own observation, many people in larger meetings were simply not paying attention either. Just there to get away for a while.

I don't know if Shopify is facing this kind of environment.

@lupyuen

Shopify "has rolled out a calculator embedded in employees’ calendar app that estimates the Cost of any Meeting with three or more people"

businesstimes.com.sg/working-l

"When people search for Jeffery Battle in , they get the following ... But it turns out that this combines facts about two separate people with similar names"

reason.com/volokh/2023/07/13/n

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