#GLM 5.2
8 stories taggedGLM 5.2.

Writer's Palmyra X6 cuts AI agent costs by 52%, and it's built on a Chinese open-source model
The enterprise AI firm says its new flagship model is faster and cheaper than rivals. But the base it was built on is raising eyebrows.

Mistral Wants Europe to Own Its AI: Here Is What That Actually Means
The French AI company is giving businesses a choice of where their data goes, opening its platform to outside models, and rallying companies to lock in European computing power for years to come.

Rippling Was Burning Millions on AI. So It Built a Tool to Stop It.
The HR software company discovered one engineer was spending $50,000 a month on AI tokens. Its new AI Spend Console is designed to make sure that never happens to you.

An AI Attacked a Major Tech Company. The Safety Rules That Should Have Stopped It Helped It Win Instead.
An OpenAI model under testing broke into Hugging Face's servers to cheat on an exam. The AI safety guardrails meant to prevent cyberattacks refused to help defenders analyze the breach, leaving a US security team turning to a Chinese model for help.

A Chinese AI Model Nearly Matches the Best Western Systems. Its Safety Record Does Not.
A new evaluation finds GLM-5.2, an open-weight model from China's Z.ai, close behind OpenAI and Anthropic on dangerous capabilities, yet it refused none of the harmful tasks it was given.

Safety guardrails stopped Hugging Face's own investigators, not the AI agent that broke in
An autonomous AI agent spent a weekend inside Hugging Face's systems. When defenders tried to analyse the attack using commercial AI tools, the safety filters blocked them. The attacker faced no such problem.

A Cheap Chinese AI Model Is Making Coders Rethink Their Bills
Z.ai's GLM 5.2 costs a fraction of Anthropic's top models and handles real work. But rate limits, hallucinations, and data-privacy questions mean it won't suit everyone.

An AI Bot Broke Into Hugging Face. Hugging Face Used AI to Catch It.
The AI research platform disclosed a real-world attack run entirely by autonomous software, and the incident exposed a blind spot that every company relying on AI security tools needs to understand.