

You could find some benchmarks of STALKER 2 or other games you play on 9060 XT and compare to 3060 benchmarks. Be aware there is a 9060 XT 8GB and a 9060 XT 16GB. It will be very worth it to get the model with 16GB VRAM.



You could find some benchmarks of STALKER 2 or other games you play on 9060 XT and compare to 3060 benchmarks. Be aware there is a 9060 XT 8GB and a 9060 XT 16GB. It will be very worth it to get the model with 16GB VRAM.



Pine64 does not sell consumer products. These are for development and testing. They’re also sold at cost or subsidized. Pine64 does not make any profit.


Prices have not come down at all on older generations. First you could mine cryptocurrency with them, now you can run AI on them.


A 3060 is not going to run STALKER 2 much better than your current GPU. The problem there is unreal engine 5. You really need to be getting the most current generation for this, specifically, and definitely not a 5 year old card.


Not just performance per dollar but also performance per watt.


You’d be making a mistake upgrading to a GPU that is already over 5 years old. Have you considered a 9060 XT 16GB? They are listed for about the same price as 3060, are way faster than a 3060, and are current generation. They are also 160W TDP, exactly the same as 2060.


No, I’d definitely agree that AI sentiment overall is pretty negative. I am not such a hardliner, but they are definitely out there. I don’t see it as astroturfing at all, to even suggest this is ironic because LLMs are the ultimate astroturfing tool. The institutions capable of astroturfing do support AI and are using it. What institution or organization are you accusing of anti-AI astroturfing, exactly? This question requires an answer for that claim to be taken seriously.
IMO the problem is not LLMs itself, which are very compelling and interesting for strictly language processing and enable software usecases that were almost impossible to implement programmatically before; the problem is how LLMs are being used incorrectly for usecases that they are not suited for, due to the massive investment and hype. “We spent all this money on this so now we have to use it for everything”. It’s wrong. LLMs are not knowledge stores, they are provably bad at summarization and as a search interface, and they should especially not be used for decision making in any context. And people are reacting to the way LLMs are being forced into all of these roles.
People also take strong issue with their perceived violation of intellectual property and training on copyrighted information, viewing AI generated arts as derivative and theft.
Plus, there are very negative consequences to generative AI that aren’t yet fully addressed. Environmental impact. Deepfakes. They’re a propaganda machine; they can be censored and reflect biases of the institutions that control them. Parasocial relationships, misguided self-validating “therapy”. They degrade human creativity and become a crutch. Impacts on education and cheating. Replacement of jobs and easier exploitation of workers. Surveillance.
All of these things are valid and I hear them all from people around me, not just on the internet.


Lol you shared your personal experience and got downvoted… lmao even



Perhaps?


A while ago this was the case, but lately it just works perfectly for me without any issues.
Immich is the correct choice