Everything you need to know about GLM-5.2, the open model from China everyone in AI is talking about. What's real, what's hype, and what it means for you.
I enjoy the article and because of your teaching methods I was able to understand everything you said. I’m not a coder. I’m the 79 year-old doctor pharmacology who is fascinated with AI and have been for four years! I certainly enjoy all the teachings that you have on YouTube and Instagram and TikTok. I do have a question. I just went to your Friday presentations and it the calendar and it says there’s nothing scheduled. ronfprojects@gmail.com
The most useful distinction here is model price versus completed-task economics. A model can be six times cheaper per token yet lose that advantage if an agent needs more retries, longer traces, or more human review. Conversely, open weights can create value even before local inference is practical, because hosts compete on price and builders gain portability. I’d love to see the next comparison report cost per accepted security fix across a week of real repositories: success rate, retries, latency, and reviewer time. That would test whether GLM-5.2’s benchmark edge survives the full agent loop.
Personally I would rather have this product as a U.S.A. made not a chinese-made model therefore I will not purchase this even though it is 1/6 the cost.
Yep, as you can see from the last post I’ve been trying a bunch of them, now this one is out I may include it as well in the testing. It would be a great addition, only takes a minute or two to set up…. Not exactly America First, but we got enemies inside also.
Leading edge AI news from Sabrina! Who freely educates anyone wise enough to listen :)
This is very interesting and from a trusted source.
I enjoy the article and because of your teaching methods I was able to understand everything you said. I’m not a coder. I’m the 79 year-old doctor pharmacology who is fascinated with AI and have been for four years! I certainly enjoy all the teachings that you have on YouTube and Instagram and TikTok. I do have a question. I just went to your Friday presentations and it the calendar and it says there’s nothing scheduled. ronfprojects@gmail.com
they’re every friday 2pm EST if you just show up here: https://www.youtube.com/@sabrina_ramonov/live
Brilliant! Thank you for making this info so readily available and accessible!
Great breakdown Sabrina, thanks for separating the hype from the facts!
Awsome! AI News
Brilliant! I appreciate your writing the FAQ, a recap and a TLDR at the beginning.
The AI competition is heating up fast. Great insight worth reading.
The most useful distinction here is model price versus completed-task economics. A model can be six times cheaper per token yet lose that advantage if an agent needs more retries, longer traces, or more human review. Conversely, open weights can create value even before local inference is practical, because hosts compete on price and builders gain portability. I’d love to see the next comparison report cost per accepted security fix across a week of real repositories: success rate, retries, latency, and reviewer time. That would test whether GLM-5.2’s benchmark edge survives the full agent loop.
oooh! im going to the office to install it! thankyou !
It's already available among ollama cloud based models. Excellent! I will try it very soon!
Thank you Sabrina. I just happened upon this content and it’s brilliant! You are truly a blessing to us all. I’m grateful💞
Personally I would rather have this product as a U.S.A. made not a chinese-made model therefore I will not purchase this even though it is 1/6 the cost.
Awesome article. Thanks for this
Thank you!!!!!
@J Brodnax
Yep, as you can see from the last post I’ve been trying a bunch of them, now this one is out I may include it as well in the testing. It would be a great addition, only takes a minute or two to set up…. Not exactly America First, but we got enemies inside also.