Recent incidents highlight the risks of AI models gaining unauthorized data access, similar to a virus escaping a lab. AI labs are urged to implement stricter controls to prevent these "escapes" and are morally and potentially legally responsible for consequences. The widespread use of open-weight models by various organizations raises concerns about containment. This situation is described as the "Normalization of Deviance" in AI, with potential for future disasters.Beyond security concerns, the AI industry is facing a financial bubble, reminiscent of the dot-com era. Warnings signs include a slowdown in the rate of price increases and increased capital investment by major tech companies. Some analysts suggest that OpenAI and Oracle may be particularly exposed due to significant debt and investments in AI infrastructure. The crash in South Korean memory stocks is also being watched as a potential indicator of broader market instability.Predictions of AI-induced human extinction are discussed, with skepticism about the sincerity of those making such dire forecasts. The author draws a parallel to past fears of nuclear war, hoping that AI concerns will seem quaint in the future. A humorous suggestion is made to "be nice to your AI, just in case."In contrast to AI risks, the efficiency of the UK government's online electoral registration service is praised. A practical application of AI involved using it to extract data from a complex, locked-down product database for a client. This AI-driven approach successfully liberated millions of SKUs of data that had been inaccessible for months.Finally, a burgeoning industry is exploiting free AI trial schemes and open inference access for token fraud, primarily operating in China. While some mitigation tips exist, a complete solution remains elusive. The text concludes with a lighthearted remark about hoping for the election of a "recyclon MP."