My company took the biggest telecom company in France to court for a violation of our license on a soft, license was GPLv2, we won, but it took 12 years.

Justice is a very poor and slow institution in France. For the same countries the budget of police forces per capita are nearly the same for example.

I think that such discourse are FUD to prevent any advancement of European integration. Without such development small EU countries would be dependent upon the will and need of Elon Musk or the american DOD.

The goal is to level the playing field to prevent countries to look for non European alternatives for now, which often happen in Europe when nobodies coordinates the actions of different countries when something becomes suddenly urgent (I do not thinkg it's really, but government must always show they do something, and US companies operating constellations have good salesmen).

> T.J. Green is a Senior Staff Engineer at Tiger Data, creators of TimescaleDB, where he is the implementor of pg_textsearch, a new Postgres extension for high-performance BM25 ranked text search. He brings deep expertise in database systems internals and indexing methods to this project. At Tiger Data, he has also contributed to pgvectorscale, the company's vector search extension for Postgres.

The guy could have written it eyes closed.

As it's a pretty simple hypothesis to test and that it was not maybe imply that the conclusion is politically motivated. Supply-shock imply that something was done and it worked, but that the problem solved itself is not as palatable for someone politically motivated like an administration.

> As an introductory project, I rewrote Numpy in Rust. It was great fun.

That's not a rewrite at all it's just a wrapping of an existing linear algebra Rust library (faer, blas, etc..) with a more Numpy like API. It seems to me that every AI project I look at is just a mashup/wrapper over existing things. Where are the real bootstrapped new things with AI ? Is there any big OSS project (Linux kernel, postgresql, Django, whatever) with serious bugfixes or new features implemented by AI that we could look at ?

Are so much people in programming implementing middleware / wrapping existing API all day that it gives them a feeling of liberation to be able to delegate those tasks ?

Apparently it's more than 60% year long: https://weather-and-climate.com/average-monthly-Humidity-per...

I agree climate is a bit special in south California, but what is usually done here when a fire is near a house is for the owner to sprinkle it before the fire is coming; if you take time to sprinkle the roof (which is the only part containing wood here) there is less chance for an ignition.