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You might like Ada as a few people have said. Rust seems kind of niche oriented to me, aimed at programs that for whatever reason don't want to use GC, but ALSO want to use dynamic memory allocation a lot. Ada isn't that great at memory management and mostly aims at embedded programs with fairly simple (maybe just one-time static) memory allocation. In other regards though, it's safer and in some ways simpler than Rust, from what I can tell.

It would be more interesting if they made WASM into more of a mini-OS, like BEAM.

That is clearly the logical conclusion.

That is a COVID symptom? Maybe not caused by COVID, but same syndrome.

https://www.sfgate.com/food/article/COVID-long-hauler-bakery...


GNU Parallel seems like another convenient approach.

It has no concept of dependencies between tasks, or doing a topological sort prior to running the task queue. GNU Make's parallel mode (-j) has that.

Cool, see ats-lang.org for more info.

From November 2024. I didn't mis-read the title but thought had several guesses about the subject matter. None of them were close. I wasn't deeply into Firesign but I loved what I heard.

> You Need Customers to Succeed in Small Business

I wonder if there is a way to automate them with AI.


I mean, the biggest consumer of AI writing is probably AI scrapers…

This is advertising and also most of that can be done with openstreetmap data instead of an API, I'd expect.

As someone who has worked with this sort of stuff quite a bit, I can assure you that OSM is pretty terrible for Geocoding and reverse geocoding. OSM is great for all kinds of roads (everything from the largest highways to the tiniest unofficial hiking trails), pretty good for landuse and absolutely terrible for building footprints and addresses. In many countries you don't have to get far outside of major cities before half the buildings are just missing, and even the buildings that do exist very often have the wrong address or house number.

That's just not the case.

For a good geocoder, you need many other data sources (which can be open). OpenAddresses (https://openaddresses.io/) is an example of a vital dataset to delivering anything of any quality.

Returning real results requires extensive parsing and awareness of addresses and place data (including localization of them), and this is not something you get for free based on OSM data.


My experience is also that (in the uk at least) it can't be done accurately with openstreetmap data.

For context, I've tried it! I've been working on a free library for geocoding UK addresses quickly and accurately. It comes with the caveat that you need access to the dataset of all addresses you're geocoding against - which could be your own list, or a commercial product like addressbase: https://github.com/robinL/uk_address_matcher/


I thought Alpha Fold advanced biology enough to get Jumper and Hassabis the Nobel Prize in Medicine.

.. it was Chemistry 2024

This is why Ada was invented.

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