mm321
Joined 13 years ago
Joined 13 years ago
the linked article is from July, it is almost three months old.
Now there may be a very relevant recent story; it has the potential to reduce the flow of new open weight models. This could change quite a few expectations, which are based on open weight models:
"China’s STAR 50 Index Falls 40%, Erasing $480 Billion as AI Stocks Crash"
https://www.technology.org/2026/10/27/china-ai-stock-bubble-...
https://www.reuters.com/world/china/china-ai-bubble-has-alre...
Reuters says there is a run, but also deeper reasons:
"There has been no obvious selling trigger in China, although traders said high prices, tax bills and the threat of the US or other nations banning Chinese equipment in data centers all contributed."
So far I don't see any discussions of this story on HN, interestingly.
“Robbery, Italian Style”
https://www.youtube.com/watch?v=vktTgOr4M1s
(it has a wiki page https://en.wikipedia.org/wiki/Ograblenie_po... )
Marcello Mastroianni is performing a bank heist, it goes well - but in the end he has to return all the money he borrowed. And that's where he is left with nothing...
My name is Max.
My world is fire and blood.
Why are you hurting these people?
It's the oil, stupid.
- Oil wars.
- We are killing for guzzoline.
The world is running out of water.
Now there's the water wars.
Once, I was a cop.
A road warrior searching
for a righteous cause.
- to the terminal freak-out point.
Mankind has gone rogue, terrorizing itself.
Thermonuclear skirmish.
The earth is sour.
Our bones are poisoned.
We have become half-life.
As the world fell...
...each of us, in our own wayNow what happens to mathematics, if prior art gets filled up with spaghetti code like proofs that no one can verify? Maybe there is some hallucination somewhere in the middle that has been left unchallenged by the other agents? Nobody can tell.
Matt Pocock says that he knows how, but it comes with a lot of context fiddling.
https://www.youtube.com/watch?v=v4F1gFy-hqg
"Software Fundamentals Matter More Than Ever"
This lecture is very impressive. However I haven't managed to reach AI enlightenment, yet.
What amazes me is that an LLM can actually make sense out of all this crappy training data and often produces meaningful answers. (maybe that's a sign that we already have AGI)