We just can't leave the topic of how the big model makers are building their training corpus unaddressed. This is both an ethics and economics problem. The creators of the content used to train such large models should be compensated in a way.

Between this, the crawlers they use and the ecological footprint of the data centers, there are so many negative externalities to those systems that law makers should have cease the topic a while ago. The paradox is that if nothing is done about it, the reckless behavior of the model makers will end up hurting them as well.

Unsurprisingly, Wikimedia is also badly impacted by the LLM crawlers... That puts access to curated knowledge at risk if the trend continues.

A good look back at parallelisation and multithreading as a mean to optimise. This is definitely a hard problem, and indeed got a bit easier with recent languages like Rust.

This is a very smart way to create pure CSS placeholders.

Could be interesting if it gets standardized. Maybe other forges than Gerrit will start leveraging the concept, this would improve the review experience greatly on those.

I somehow recognise myself in this piece. Not completely though, I disagree with some of the points... but we share some baggage so I recognize another fellow.