Web Standards & #RustLang
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| my homepage last updated in 2003 | https://kornel.ski |
| tootfinder | searchable |
In 2025, Big Tech—just ten major companies—spent €49 million lobbying Brussels. That’s more than pharma, finance, and automotive combined.
Google funds all sixteen major European think tanks shaping EU policy. Not *some* of them. All of them. Amazon and Meta fund most of the rest.
This is no longer “poor old me, I need a bit of help,” this is full regulatory capture. With a view to becoming even more embedded into businesses and governments, and getting whatever favorable legislation passed or diluted to suit them.
https://corporateeurope.org/en/2025/10/big-tech-lobby-budgets-hit-record-levels
In today's Coding Black Mirror episode: what if AI code generators get sped up to emit tens of thousands of tokens per second?
For now we're pretending LLMs are just sloppy devs and try to review the output, which is already exhausting.
When it gets to the point of being able to rewrite the whole project on every keystroke, source code won't be the source any more, but a discardable compiler output. Switching languages will be like applying Photoshop filters?
#Diverse perspectives on #AI from #Rust contributors and maintainers
https://nikomatsakis.github.io/rust-project-perspectives-on-ai/feb27-summary.html
Healthy debates are still possible, it seems. 🙏
"Online discussions are dominated by a surprisingly small, extremely vocal, and non-representative minority. Research on social media has found that, while only 3 % of active accounts are toxic, they produce 33 % of all content [...] 0.1 % of users shared 80 % of fake news [6,7]. Not only does this extreme minority stir discontent, spread misinformation, and spark outrage online, they also bias the meta-perceptions of most users who passively “lurk” online."
https://www.sciencedirect.com/science/article/abs/pii/S2352250X24001313
GenAI broke copyright law, and I don't mean just infringing the rights, but disrupting the core foundations that copyright laws were built on.
Copyright enforcement assumes ability to identify whose work has been copied, but models can untraceably mashup everyone's works.
This completely messes up what a derived work is, identifying whose work has been infringed, what is fair use and remixing. Forcing old definitions to fit this either makes copyright meaningless or a maximalist dystopia.