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Article Clef shipped, and attackers rented a decision model
Open-weight decision models plus cheap RL fine-tuning let anyone point a goal-seeking AI agent at any reward - including offensive ones. What that means for security.
The lie and the order wear the same font
Gemini 4 Argon merges instruction and data in one channel, so controls inside the model cannot enforce a boundary that no longer exists.
Golden Gate's crashes cluster in exploit-grade code
macOS Golden Gate's reported instability sits in the same subsystems - WebKit, ImageIO, IOKit, XNU - that carry every documented macOS exploitation chain.
MicroLLM Lab runs seven models without touching the network
In-browser tiny LLMs keep prompts off the network, but same-origin scripts, local storage, WebGPU fingerprinting, and weak model safety reshape the risks.
Your best lock was a price tag
GPT 6.1 Sol cuts near-frontier AI cost fivefold, collapsing the economic scarcity that quietly propped up social engineering and phishing defenses.
Anthropic, OpenAI, and DeepMind grade their own models' danger
AI labs publishing dangerous-capability evals turns safety disclosure into marketing, and the self-graded scorecards drift toward a race to the bottom.
Unsealed court briefs turned training data into evidence
Unsealed briefs in the authors' case against Microsoft and OpenAI reveal training-data provenance as a board-level liability surface, not a technical detail.
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