Open source has changed the life of so many, from so many situations. We should be proud of our industry. Together we built something beautiful

> “The billionaires of the world who want to flee increasingly high-regulation and high-tax countries are very welcome to come to Argentina, the new land of freedom,” Adorni said.

How true is this in practice? Argentina's income taxes are not low by any standard (35%), capital gains are not zero (15%), and there is a wealth tax if you hold foreign assets.

I happen to be Argentinean, and got out of the country around 2 decades ago because of the trouble and practical taxation when working remote for foreign companies.

I definitely like what this article says, but it doesn't seem to hold true at the moment? That said, I might be missing something, as I've been mostly detached from Argentina's economics and politics for a long time now.

You deploy using a Dockerfile, or Docker Compose.

Definitely suggest you give it a shot. The free plan is a no-brainer for the performance you get. We are on the team plan at https://www.sourcemeta.com

Assuming they bet on Claude getting much better at coding over time, couldn't they themselves cover their own needs with technology that they built themselves?

Is some sort of autonomy over technology they use somehow the goal here?

12 jobs per PR for up to 30 minutes running Linux, macOS, and Windows jobs on LLVM, GCC, and MSVC in static and shared builds with also some sanitiser configurations.

And consider across projects we might send dozens of PRs per week.

Right now it's somehow all fully free on GitHub Actions. I wonder what the same would cost on i.e. CircleCI

As somebody not very familiar with CAD/3D printing, etc how hard is it to produce it myself (couple units for personal use)? What would be the average cost? Did anybody do it?

No complains from it so far. People get it, book with success, and I run those calls on Proton Meet, which also proved to work pretty well.

There have been research in that area (i.e. https://link.springer.com/chapter/10.1007/978-3-030-34146-6_...) but usually the input set is too small or biased.

As a JSON Schema TSC member, I consulted with various organisations on large scale JSON Schema use, which is where things get truly interesting (>8000 complex interconnected schema data models) though all of them are sadly closed-source.

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I'm a member of the JSON Schema Technical Steering Committee, and been making a living consulting with companies making use of JSON Schema at large. Think data domains in the fintech industry, big OpenAPI specs, API Governance programs, etc. The tooling to support all of these use cases was terrible (non-compliant, half-baked, lack of advanced features, etc), and I've been trying to fix that. Some highlights include:

- An open-source JSON Schema CLI (https://github.com/sourcemeta/jsonschema) with lots of features for managing large schema ontologies (like a schema test runner, linter, etc)

- Blaze (https://github.com/sourcemeta/blaze), a high-performance JSON Schema C++ compiler/validator, proven to be in average at least 10x faster than others while retaining a 100% compliance score. For API Gateways and some high-throughput financial use cases

- Learn JSON Schema (https://www.learnjsonschema.com/2020-12/), becoming the de-facto documentation site for JSON Schema. >15k visits a month

Right now I'm trying to consolidate a lot of the things I built into a "JSON Schema Registry" self-hosted micro-service that you can just provision your schemas to (from a git repo) and it will do all of the heavy lifting for you, including rich API access to do a lot of schema related operations. Still in alpha (and largely undocumented!), but working hard to transition some of the custom projects I did for various orgs to use this micro-service long term.

As a schema and open-source nerd, I'm working on my dream job :)

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