OK, that's concerning. Got a message from the police that tell me about a new register for my weapons.
I don't have any weapons!? What?
copernicus.eu/en/media/image-d…
RE: masto.ai/@vagina_museum/116051…
Can I wear that in the US I wonder?
Vagina Museum (@vagina_museum@masto.ai)
Did you know 30% of Britons can't find the clitoris on a diagram of the vulva? Show the world that you know your labia minora from your labia majora and can find the most important organ of all with this fanny-tastic enamel pin! https://vaginamuseums…Vagina Museum (Mastodon)
Lo EDPB e il #GarantePrivacy europeo (GEPD) sostengono la semplificazione e la competitività, ma sollevano al contempo preoccupazioni fondamentali
Alcune modifiche proposte al GDPR e all'EUDPR sollevano notevoli preoccupazioni in quanto potrebbero influire negativamente sul livello di protezione di cui godono gli individui, creare incertezza giuridica e rendere più difficile l'applicazione della normativa sulla protezione dei dati.
Nobody knows how the whole system works
surfingcomplexity.blog/2026/02…
<- this is THE single key defining truth of 21st century computing
Nobody knows how the whole system works
One of the surprising (at least to me) consequences of the fall of Twitter is the rise of LinkedIn as a social media site. I saw some interesting posts I wanted to call attention to: First, Simon W…Surfing Complexity
Yes, [AI] represents a significant shift in how we build software, it moves us further away from how the underlying stuff actually works, but the benefits exceed the risks.
I don't know about that last one. If it weren't for the numerous massive externalities the current crop of AI currently has, it might have been easier to argue for it, but in the current situation, I don't think it's that clear-cut.
Of course it's easier to clump the people who are concerned about these never-before-seen externalities with the people who are averse to change in their craft in order to dismiss both wholesale.
@Liam Proven Also the difference between AI and the entirety of the technologies mentioned in this article is that machine learning (of which LLMs are an outcrop) is deliberately designed to obscure its inner working. It is a feature that makes it incredibly effective to reach its goal, but as a result even machine learning experts cannot explain how a system produced a given outcome, by design.
So "nobody can't understand everything" as a hand-waving for AI is terribly reductionist. We voluntarily made computer systems inaccurate in order to bring about God in the machine and we ended up with a shitty climate change acceleratory Eliza.
Andre123 🐧
in reply to quinta - Stefano Quintarelli • • •