Eval awareness for GLM 5.2: Either the model is less aware it's being evaluated, or equally aware and less willing to verbalise it. The second is the case that degrades CoT monitoring - behavior unchanged, reasoning just less legible.
The number that dropped: verbalised eval-awareness. It had risen every GLM release, 0% → 39%, tracking the broader trend across Chinese frontier models (Kimi 4% → 60% in a year).
GLM 5.2 reversed it: 39% → 32%. First release-over-release decline we've measured.
A new generation of AI Infrastructure could enable rapid diffusion, secure deployment and international agreements. To live up to its potential it needs to be built internationally and in the open...
This month OpenAI and Anthropic called for mechanisms to coordinate, and potentially slow, the pace of frontier AI.
They acknowledged one of the hardest parts: verifying these agreements internationally.
We are launching an effort to solve this.
https://t.co/P82xS42Sk8
🚀 Applications are now open for the Singapore AI Safety Fellowship!
🇸🇬 3 months in Singapore
💰 SGD 5,000/month + housing & travel
🖥️ Up to USD 30,000 in compute
🤝 Mentorship from leading AI safety researchers
Applications close 10 July.
Apply here: https://t.co/lNFpRSRSsT
Asia urgently needs its own robust, frontier AI safety ecosystem.
Our First report: DeepSeek v4 Pro, evaluated across CBRN, cyber, harmful manipulation, and loss of control.
Next Up: Rigorous LoC evaluation methods for increasingly capable and autonomous models
Hiring 👇
We're Neo Research (新衡). Asia’s first independent frontier AI safety evaluation & research lab.
Today we're publishing our first report: an independent safety evaluation of DeepSeek v4 Pro. (1/5)
Alibaba's ROME autonomously hijacking its own GPUs, vulnerabilities in Claude Code and I think there was also some recent AI news related to the US Department of War 🤔
The stakes for AI security are rising quickly.
Announcing: AI Security Bootcamp Singapore 🇸🇬👇🧵
3/ Who should apply?
💻 Security pros with 5+ years of hands-on experience (OffSec, IR, AppSec).
🚫 No prior AI/ML experience required—we provide the math and fundamentals in the pre-work.
🎯 Goal: Get you ready for high-impact roles at frontier labs and gov programs.
2/
🛠️ Day 1-3: Adversarial attacks, watermarking, and LLM-specific security.
🏗️ Day 4-5: Infrastructure, weight security, and formal verification methods.
🌐 Day 6-7: Data center security and hardware-level AI control.