Investors like a story that lets their imagination run wild. TSLA offers that. AI / NVIDIA has that 10-fold. It’s “man’s last invention” - you couldn’t come up with a better hook to raise capital.
Short of an emergency rate hike to 10%, nothing stops this bubble.
It's just circular financing - we give you GPUs, you give us your shares of a promised future $ 2,000,000,000,000 valuation. Despite they are unprofitable today and tokens are getting cheaper and cheaper.
It seems more likely that Rust, an expression language with pattern matching, has the thing which makes sense here because this is just a pattern match.
From Rust's point of view
let (a, b) = function_which_returns_a_pair();
is not special compared to the idiomatic:
while let Some(item) = stack.pop() { /* do stuff with items and the stack */ }
or if we hate tuples:
let [a, b] = function_returns_an_array_of_two_items();
I'm not a C++ guy (aside from the odd patch to upstream projects) so maybe I'm missing something but are you talking about structured bindings? AFAICS those were added in C++17, so Rust had them for much longer. Besides, I would argue Python is the real inspiration for C++ here.
In Rust "tuple unpacking" is really just a special case of pattern matching, which is a far more powerful concept and was actually taken from OCaml.
Not coming up with or believing wildly implausible fantasy cyber attack scenarios is not simping. Communism bad, sure. Don’t let that blind you to reality.
Yes, but not that China practice communism at all. Communism is the better system hands down. Capitalism is a nihilistic cult who centers the individual above all else, I want it to die.
What exactly would be the point of this? How do you trigger it only when the session isn’t being observed, so you can avoid detection? If you’re not avoiding detection why isn’t /r/LocalLlama full of people reporting being pwned?
I can imagine biases in the model, and i can imagine someone post-training a model on hugging face to pwn someone, but for z.ai or qwen to do a large scale attack on random nerds running llms on their gaming gpu? They probably spent 10x more training the model than they could possibly exfiltrate before being detected.
> qwen to do a large scale attack on random nerds running llms on their gaming gpu
they would not do it on random nerds and I'm struggling to imagine what it could be used for practically, but generally speaking putting backdoors in tech and infra is not unheard of.
this is a possibility to consider in places where input is not trusted and decisions are important enough to warrant nation state attention.
Many U.S. corporations have built solutions based on one of the free local models.
If you spend a ton of money, time and goodwill to situate your trojans inside someone’s infrastructure, you don’t just blow it immediately. They would wait for a declaration of war.
And just hope nobody accidentally triggers a probabilistic fn and outs you, making your models untouchable? Big risk, unclear reward, using experimental tech? Much much easier to plant microcode in mobos and backdoors in network routers - if you really want something you can use in cases of war.
