Posted by birdculture 6 hours ago
sigh
I also use Qwen 3.7 27b at work and I agree with the author: it is perfectly capable of the jobs I give it.
Had to stop there. Annoying. I can't stand AI use for writing. It makes any otherwise great article feel so disingenuous.
Some of us just write that. AIs had to learn it from somewhere.
I don't think that commenting on every article is going to make the posters suddenly decide to go back and rewrite it by hand. Some of them probably don't even speak English natively. The comments are getting more tiresome than the AI prose at this point.
Hopefully in a year or so the LLM output won't be so janky and obvious, so this might just be a phase everyone has to pull through.
I can write competently, but it's natural direction is towards emotional rhythmic flow that can convey emotion/passion...but which for scientific writing, can get in the way of clear clean communication. So, I write what I mean,and Claude straightens it out...and these days (i.e. not last year), it doesn't lose my meaning that often. And since I wrote it first, these AI-isms appear less frequently, and if they do, I revise them away.
2X NVIDIA Tesla V100 32GB NVLink Water Cooled X99 E5-2686v4 AI Workstation PC
Item Quantity
Intel Xeon E5-2686 v4 CPU 1
2U CPU Cooler 1
Jingyue X99 Motherboard 1
DDR3 Memory 32GB
SSD 480GB
AMD Radeon R5 240 4K Display Card 1
NVIDIA Tesla V100 32GB SXM2 GPU 2
NVLink SXM2 Dual-GPU Baseboard 1
Corsair Water Cooling System 2
850W Bronze Power Supply 1
Dual-GPU 300G NVLink SXM2 Baseboard 1
8654 Data Cable 2
8654 to PCIe Adapter Card 1The thought of throwing away working cards sounds so bizarre to me. I can't believe companies would dispose them into the landfill like that, it is at least worth giving away for refuse.