We have a year to fix security everywhere
Blog post warns that cheap open-weight GLM 5.3-flash, once abliterated, could enable mass AI-driven vulnerability exploitation, urging industry-wide patching now.
An essay argues that Z.ai's open-weight GLM 5.3-flash—runnable locally on roughly $6k consumer hardware at 20-45 tokens/second—combined with 'abliterated' variants from groups like DeAlignAI that score 0% on HarmBench-320 puts dangerous hacking capability in nearly anyone's hands. GLM 5.3 scores 84.5% on CyberGym and 54.4% on ExploitBench, versus GPT-6 Astra's 100% and GPT-5.6 Sol's 78.5%, and the author cites evidence of frontier models exploiting real-world infrastructure. The author calls for using LLMs (Project Glasswing, Daybreak) to find and fix vulnerabilities industry-wide before adversaries weaponize cheap open models.
US Indicts 17 Iranians Over Years
US unsealed superseding indictment charging 17 Mabna Institute Iranians for IRGC-linked espionage stealing 31TB from universities, companies, and government agencies.
The Justice Department unsealed a superseding indictment charging 17 members of the Iran-based Mabna Institute, which conducted hacking campaigns since at least 2013 on behalf of the IRGC and other Iranian clients. The group compromised 144 US and 178 foreign universities, at least 42 US companies, and multiple government agencies, stealing over 31 terabytes of academic data and IP plus employee email inboxes. Hackers breached roughly 8,000 of 100,000 targeted professor accounts across 24 countries, selling stolen research through Megapaper.ir and Gigapaper.ir. Behzad Mesri, tied to the HBO breach and $6 million Bitcoin extortion, is among eight new defendants, and five defendants carry State Department Rewards for Justice bounties up to $10 million.