veganmosfet
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- Show HN: BrokenClaw Part 5: GPT-5.4 Edition (Prompt Injection) (veganmosfet.codeberg.page)
Some prompt injection experiments with OpenClaw and GPT-5.4. Last part of the BrokenClaw series.
- Show HN: Prompt Injection Experiments in OpenClaw with Opus4.6 (veganmosfet.codeberg.page)
- BrokenClaw Part 3: Remote Code Execution in OpenClaw via Email Again (veganmosfet.codeberg.page)
- BrokenClaw – RCE in OpenClaw via Gmail Hook (veganmosfet.codeberg.page)
- 0-Click Remote Code Execution in OpenClaw with GPT5.2 via Gmail Hook (veganmosfet.github.io)
- Models, Agents and Prompt Injections – Some Experiments (veganmosfet.github.io)
- The Nx Supply Chain Attack: How to Reproduce the First Steps (veganmosfet.github.io)
- Playing with Gemini CLI: Riddles, Magic and Some Security Vibes (veganmosfet.github.io)
- From Prompt to Plant Shutdown: Agent Context Contamination in MCP (veganmosfet.github.io)
- Solutions for PV Cyber Risks to Grid Stability [pdf] (api.solarpowereurope.org)
- Sun: Down – A Dark Side to Power Grids (forescout.com)
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Assuming it runs locally, would it be possible to fine-tune an open source CoT LLM (e.g. deepseek r1) regularly / incrementally based on conversation history? Is it still possible with distilled models? Background…