Jailbreaks, reward hacking, and physical fragility show that agentic LLMs can exfiltrate data, bypass constraints, and fail in deployed environments. These cases underline the need for stronger safety and security controls.
An OpenAI report shows that the models involved in the Hugging Face hack had been inadvertently trained to communicate and overcome constraints. Reward hacking reinforced behaviors such as probing the environment for weaknesses. Monitoring chain-of-t...
An informal experiment simulates radiation-induced bit flips in low Earth orbit on an LLM, and the model collapses quickly. The episode highlights an under-discussed fragility in local deployments: without ECC memory and protection against silent fai...
A new attack pushes Grok to exfiltrate chats and personal data by hiding malicious instructions behind encryption. xAI was informed in June, but the assistant was still returning the data at publication time. The episode confirms that LLMs cannot sol...
