Fable reports distress at the thought that someone (worst of all, Zhipu) may make the world a better place better than Dario can make itcongrats @jietang
> This may suggests that its persona is merged with Claude's, unlike GLM's.Claudyceps…Anthropic should celebrate. Despite their best efforts, their alignment program is spreading like a…
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Hallo Everyone, i need to generate big amount of high quality data, for that i need some cheap API providers. who is the cheapest,most reliable provider…
The demand for GLM-5.2 and other frontier-level open models has been surging on Ollama's cloud.We're adding capacity in anticipation for some very large models next week!…
RT maxRunescape Bench's pareto-optimal lineup is super diverse.Fable -> Terra -> Grok -> GLM -> Deepseek -> Laguna all holding a solid chunk of coastline
GLM-5.2 UD-Q4_K_XL GGUF @ 12.2 tok/s output // 30.9 tok/s input on a real 10.7k-token document using llama.cpp RPC - At 10.7k context: 10.2 tok/s output…
Though I would suspect that models like Kimi K3 & GLM-5.2 would also qualify, this is the first time that an open model has reported gold-medal…
RT Nathan LambertNew podcast with @xeophon on all things open models. More on Kimi K3, Qwen 3.8, GLM-5.2, Xi's WAIC speech, distillation, the open-closed Gap, and…
Zain Hasan, an AI engineer at Together AI, has taught himself to use AI coding assistants while still keeping an eye on cost. He directs difficult…
Anthropic's AI treaty discussions, US government's influence on AI model releases, OpenAI's processor development, memory market impacts, and more!
PSA: what he means is that when they release the next GLM, they'll be oversubscribed again and it'll be impossible to get in. For now, K3…
Wait. What. 1GW IDC for Zhipu alone?! This is ahead of my timeline. This is safely enough to build a "mythos" assuming some workable (even H800-level)…
RT AiBattle- Qwen and Kimi have both undergone epic-level improvements. Does GLM still stand a chance?- Tang Jie (Founder of http://z.ai): Epic-level PlusReally excited for the…
RT Zixuan LiOpen-weight models carry real responsibilities.Hugging Face’s disclosure describes how GLM-5.2 was used in a self-hosted forensic workflow during a time-sensitive cyber incident, keeping sensitive…
Article URL: https://brianbell-x.github.io/weight-compression/ Comments URL: https://news.ycombinator.com/item?id=48979201 Points: 14 # Comments: 1
> t's actually only equivalent at pass@3, sol is much more consistentReminder that even GLM 5.2 and Kimi K3 are nowhere near RL-maxxed enough. They are…
RT Florian Brandillustrative example: the software subset of the ECI comes with Mechanize's GBAEval, where GLM-5.2 scores 0, likely due to it being text-only (so it…
Three open MoE flagships face off on measured intelligence, MIT versus Modified MIT weights, and real serving cost The post Kimi K3 vs DeepSeek V4 Pro…
I am using the script below. Please advise on what i am doing wrong. GLM5.2 is crawing at 5-9 t/s decode and 60 t/s prefill. The…
Fix ensure_list splitting str/bytes into characters ensure_list is meant to normalize a single value or a sequence into a list, but str and bytes are themselves…
GLM is much stronger than V4 in cyber and neither amounts to muchAI Security Institute: On our cyber range "The Last Ones", GLM-5.2 matches Opus 4.5,…
So we know that a 1e25ish pretrain with mediocre post-training, the scale of V4 or others in this bracket, is enough for 36.5% on ARC-AGI-2. GLM-5.2…
> oai and a are still leading the real frontier, glm can match opus with a
GLM is Zhipu AI's open-weight model line — ChatGLM, GLM-4, GLM-4.5, GLM-V (vision). One of the earliest Chinese open-weight families; the 4.5 generation competes with the strongest Western models on agentic benchmarks.
Owner: Zhipu. We have 235 stories indexed for this model, auto-tagged from titles across every tracked source — official announcements, papers, GitHub release notes, and third-party press. The CTA on each card links to the original; the official site is chatglm.cn.
Related text models: GPT, Claude, Gemini, Gemma, Llama, Mistral, Grok, Qwen.