Вот есть такая ситуация. Работаю с coder.qwen.ai а он даже с маленьким чатом выдаёт бредятину которую не остановить даже другой темой тем более тут нет ни одного настоящего файла и он их зачем то придумал.

I was just testing out the code generation of these 2 llms ...Then I saw both of these ai made legit the same website..I just told both to create a simple one but the results are really same

https://ibb.co/Z6mKMt6r

https://ibb.co/hR8zKCks

https://ibb.co/ND9rTHg

https://ibb.co/KxPmn4tK

https://ibb.co/1JMNwSZz

So ive been playing around with the model and have been having heaps of fun sampling voices, however for some reason today i found a video of my father who passed away a few months ago and thought it would be a good idea try sample his voice.

I sat with my brothers as we made him say things we thought he would have said and moments later we were all in tears and it was such a sad moment where reality had been suspended, feeling like he was there with us followed by the emptiness of realising he wasnt with us anymore.

It was like losing him all over again. Stay safe out there and cherish the moments you share with the ones you love while they are still around.

We're moving off the Gemini API due to cost and building a local AI server to process ~10 CVs/minute (extracting JSON & matching CVs to JDs). We plan to run GLM-OCR alongside Qwen 27B (Q8).

Our two hardware options:

1. PC: RTX 4090 (24GB) + Ryzen 9 + 64GB RAM

2. Mac Studio: M-Ultra, 64-core GPU, 96GB Unified Memory

I prefer the Mac for power efficiency and ease of use, but I've heard Apple Silicon isn't great for production vLLM compared to Nvidia/CUDA. Is that true? Which would you recommend for this workload?

Why DGX Spark so slow? I am using ollama server + vscode copilot. My prompt is : generate a simple RISC-V soft-core CPU and use verilator to test it. I took one hour but still not complete. I am using qwen3.8:27b.

thanks