Then what good is a state for? Let’s get down to anarchism once and for all!
Then what good is a state for? Let’s get down to anarchism once and for all!
As long as public money -> public code, this could potentially be a net positive for stopping predatory AI practices from Microsoft and buddies. Still, taking away funding from other projects could also be catastrophic for everything else.
Well, unless you’re a nerd, you only see those messages once
I just hope my app hides them
The summed up version of your comment is that you also go out of your way to work around the database issue.
What in the cock
Tell me you don’t read often without telling me you don’t read often:
Fucking hell
Most of them are surely bots though
The ultimate litmus test for knowing if a south American country is a democracy or not - does an English speaking lad want to overthrow its government? If that is the case, chances are high it is a democracy…
Does Netflix count as the open web? It definitely feels like so, but I’m ready for a wealth hoarder to tell me otherwise!
Aren’t you supposed to test that shit before going live?
Warframe has been rated gold for years now - it’s still quirky despite allegedly supporting steam deck
The lad is concerned for his privacy, how come the word traitor has ever appeared in your comment at all?! I surely hope you had completely changed topics by then, and replied to the wrong comment.
What kind of psychotic dialectic is this?
This very much feels like disloyal competition. If you burn through your money in the hopes of sweeping out the competitors, and then you have to dial back on your competitor’s practices, it’s a dead giveaway you’ve done something fishy
Suppose the bill goes through. Is there any reliable alternative for privately communicating? Asking for myself.
The EU and the digital world: sometimes maybe good, sometimes maybe shit. In Spanish we say ‘una de cal y otra de arena’.
Let’s agree to disagree then. An LLM has no notion of semantics, it’s just outputting the most likely word to follow up to what it’s already written and the user’s input.
On the contrary, expert systems from back in the 90s for, say, predicting the atomic structure of an element, work like a human brain on steroids. It features an arbitrary large search tree that the software knows how to iterarively prune according to a well known set of chemical rules. We do the same when analyzing a set of options.
Debugging “current” AI models, on the other hand, is impossible because all we’re doing is prescripting a composition of functions and forcing it to minimize a loss function. That’s all we’re doing. How can you currently tell that a certain model is going to work? Unless the mathematical theory ever catches up with the technology, we’ll never know until we execute the code.
Cumstains?