☆ Yσɠƚԋσʂ ☆
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2·3 hours agothe piefed thing was pretty funny
Having used LLMs for development extensively, I’ve come to realize just how important it is to have deep knowledge of the problem domain to use them effectively. If you don’t understand which algorithms are correct, what data structures make sense to model the problem, etc., then you have no way to evaluate what the LLM spits out. And it seems like universities are doing a really poor job adjusting the curriculum to ensure students actually learn fundamentals, and are able to apply them. I recall even back when I was in the university there was already a trend where the focus was primarily on coding and getting people ready for the industry rather than the theory part. And theory is really the part you need to be learning.
5·1 day agoYeah, the physical price is what people actually have to pay per barrel of oil, and that’s been driving up all the input costs. And you can play games with the superstructure only so long when the material base is collapsing.
8·1 day agohaha I keep forgetting how insane prices are now
How’s the output quality on the lowest quant?
I think it’ll depend on how much these chips cost. If it’s gonna be something like a Raspberry Pi that works as well as a 500 dollar GPU, that’s gonna be pretty amazing.
Yeah, oil reserves papered over that for a few months, but now they’re running dry and paper price will be catching up the physical price.
I’m not aware of the phenomenon outside the west, it’s kind of like anarchism in that way.
Historically, military flips is when serious revolutions start. Incidentally, this almost happened with Vietnam as well.
By the end of the war, around 30% of US officer casualties were fratricide. Think of the level of solidarity there was among the rank and file that nobody in the platoon snitched when somebody put a bullet in the lieutenant’s back.
The wheels were really coming off the US military around 1970 and that’s likely why they left Vietnam. Another year and they’d have an all out mutiny on their hands, led by the same class of people who comprised the vanguard stateside.
People can still make choices even within a particular system. Plenty of other people chose not to become nazi storm troopers living in the same material conditions.
A bunch of guys who signed up for the imperial army to brutalize people around the world can get fucked.
I fail to see anything negative happening here myself.
Context matters, when it comes to objective facts, a bunch of people thinking something is true doesn’t make it so. However, when it comes to subjective experience, then the opinions of people actually living in the country do matter far more than those of the outsiders.
Responsibility should always lie with a human. At the end of the day it doesn’t matter what tools people use, what matters is that they take ownership of the results and can be held accountable for them.
I find what the model was RL trained on is really important. It looks like Qwen 3.8 is mainly focused on agentic coding, so it does really well there. But once you throw it at tasks outside the training then things start to fall apart fast.
A much more effective way to use models is to have them drive a deterministic tool like a calendar instead. Also, Qwen 3.8 is complete overkill for a task like that, you’re just wasting energy for no reason here. A much smaller model trained on agentic tool use would both work more reliably and use way less power.
This is another example of how capitalist incentives lead the whole system to ultimately undermine itself. Nobody cares about what happens in 10-20 years, the only thing that matters are quarterly profits. So, nobody wants to invest in training new experts. And this has been going on long before LLMs as well, it’s just that this tech makes the problem even more acute.