If you lay off 10% of your workforce, mostly juniors, and your KPIs are loose enough, there’s no reason to think that companies won’t succeed in pushing senior employees to meet them, mostly through overwork.
Also, certain companies track AI usage as a KPI in itself, so there’s a circular logic component to it.
I’m honestly astounded by the amount of misinformation in this comment.
Second derives from sexagesimal measurements of day and night cycles. Metre derives from early Earth measurements. One gram is the weight of one cubic centimeter of water.
You wouldn’t be able to tell, because “pasture raised” isn’t a formal definition. Hens are mostly fed the same soy and corn they would eat as if they were “free range”, and having more space to roam doesn’t significantly improve taste, only what they eat does.
Past few years? No. MT has existed for well over 20 years now. Also, AI still struggles with interpretation, which is the hard part of translating texts and speech.
Regardless, I said “most” jobs, not all jobs. AI is still by and large the excuse, not the motivation, for layoffs.
This assumes that people can generally be replaced by AI, which is not true.
AI is an excuse to fire people, and a powerful marketing tool to make a company look better to investors, but it has not had the massive impact techbros want us to believe it has.
Shame, because like everything, it could genuinely be helpful, and instead, we’ve mostly got a bunch of applications no one asked for, and a constant bombardment of dreadful predictions that make regular people go mad.
I’m a born and raised Spaniard who lived there for over 35 years, and was beaten up by cops at least once. I think I know a thing or two about the system.
But regardless of all that, there’s an even more solid proof that removing anonymity on the internet is a bad idea in the current Spanish climate: La Liga has been threatening individuals and companies for well over a year now, with the help of the courts and the inaction of the government. Somehow, they had access to internet users’ personal data, and have been sending out letters requesting payment for alleged “pirated content distribution and consumption”. They have pressured ISPs to throttle and even block entire blocks of IP addresses. They have sued people for libel because of insults towards their current president.
My point here is that, if a sports corporation could do that when people are still able to be “anonymous” online, how can you guarantee that Spain wouldn’t devolve into a full fledged corporate fascist state, where those with money have the effective power to target dissidents for the pettiest reason, if anonymity were to go away?
Spain literally has a law commonly known as “ley mordaza”, which enabled law enforcement to impose massive fines to protesters, some of whom ended up spending months in prison.
The problem I've got is that you all have a god of the gaps, the conversation I was having 3 years ago was different to 2 years ago was different to 1 year ago
And I guess the problem I have with you, is that you seem to think that you can get results with 16GB, competitive with models that run on a Blackwell 6000 with 96GB, while ignoring the fact that the vast majority of the people in the world are running GPUs with 4 to 8 GB of VRAM, if they even have access to GPUs, at all.
That’s the gap. Most people don’t have the kind of money you think they do, and even those who do have some money, they will never achieve the same results as with cloud models, because if there’s a state of the art optimization that makes models 10 times smaller, cloud models will become 10 times bigger with that advantage. It’s pretty simple.
2026's average gaming PC is massive amounts of memory and compute apparently
Any model that can run on 16GB or less, is not going to be any close in real world tasks, to any other cloud based model. It just cannot be. There are people out there running Qwen on the Mac Studio with 96GB, and it falls short of cloud based models in both performance and speed.
lol there are plenty of open source models in the top 100 with multiple SOTA models released in the last few months alone
The top 100 of what, exactly? Many blended benchmark results are notoriously biased, and LLMs “cheat” on benchmarks on every single opportunity, so it is still hard to tell, outside of real world tasks and speed, which models are actually better than others.
But regardless, the main point of the gap is resources. Even if the average gaming computer was really enough to run meaningful models, the vast majority of the world wouldn’t have access to it, even more so in this day and age, where a single RAM stick couldn’t be bought with a whole monthly salary in most parts of the world.
Correlation doesn’t imply causation.
If you lay off 10% of your workforce, mostly juniors, and your KPIs are loose enough, there’s no reason to think that companies won’t succeed in pushing senior employees to meet them, mostly through overwork.
Also, certain companies track AI usage as a KPI in itself, so there’s a circular logic component to it.