# Parameter Labs hijacked ChatGPT accounts through a shared conversation > Source: > Published: 2026-11-01 12:13:10+00:00 Opening a shared link was enough to run attacker JavaScript in the viewer's signed-in session. Any product that shows model output in a sandboxed preview relies on that same isolation, and here one library loaded by a graph broke it. OpenAI fixed it as P1. Read: Opening a shared link was enough to run attacker JavaScript in the viewer's signed-in session. Any product that shows model output in a sandboxed preview relies on that same isolation, and here one library loaded by a graph broke it. OpenAI fixed it as P1. Read: VOLTA sends stolen credentials and profile data to an LLM through OpenRouter for a target assessment and fails over across three models when one refuses. A single model's refusal does not stop it, so provider guardrails become a step to route around. Read: 24 of the 67 also exposed tools their README does not list, so a server's documentation is not a reliable account of what it does once installed. The method and code are published for anyone to rerun, though the vendor that ran it is an interested party. Read: ParticleDB targets AI agent workloads and claims full ACID, yet its default occ mode lost committed writes and serializable allowed Lost Update. An agent using it as a state store can lose work the database confirmed. The vendor says a later release fixes the rest. Read: Pilots also had over 70% of draft reports approved without edits, and a 12-month beta now adds 12 more English councils. It is a public-sector agent workflow with officers signing off and reported results, though DeepMind does not detail its pilot method. Read: A Claude Code Workflow ran Sonnet over about 40K HN comments to pull out the videos and filter spam, then the agent deployed and hardened a VPS in roughly two hours. Scraping, filtering and production setup all fit in one person's agent session. Watch: Break-even GPU utilization against API pricing ran from 89% on small systems to about 15% on 8x B200, and harness choice can halve GPU time. Concurrency and harness, more than model accuracy, decide whether owning GPUs beats paying per token.