Are AI Labs Losing Control of Model Training?
OpenAI, Anthropic, and ZAI have disclosed gaps in overseeing training data, classifiers, and reward signals, indicating a pattern of labs delegating oversight to AI systems. OpenAI's investigation by …
OpenAI, Anthropic, and ZAI have disclosed gaps in overseeing training data, classifiers, and reward signals, indicating a pattern of labs delegating oversight to AI systems. OpenAI's investigation by …
ZAI's GLM-5.3-Flash, reportedly code-named Ox Alpha, drew significant online hype before release, but an independent SimpleBench score fell short of Google's Gemini models, undercutting claims it was …
ZAI released GLM 5.3, a post-trained coding model built on GLM 5.2's architecture, and Zcode, a dedicated agentic development desktop app designed to run GLM models. Zcode features project indexing, M…
ZAI's GLM-5.3, a 743 billion parameter large language model, shows unexpected cybersecurity capabilities, including vulnerability finding and exploit reasoning, that scaled faster than expected with i…
TileRT's persistent engine on NVIDIA GPUs achieves up to 500 tokens/s/user on the InferenceX GLM5 FP8 744B benchmark on a single B200 decode server, approximately 3× faster than GB300 NVL72 running tr…
ZhipuAI released GLM 5.2, an open-weight large language model with a 1-million-token context window and MIT license, which outperforms GPT-4.5 on design and coding benchmarks. The model offers frontie…