Amazon kept shutting down my tablet, so I spent $266 on four AI models to own it (ericpardee.github.io)

In a unique and educational endeavor, a tech enthusiast spent $266 on AI models to regain full control of an Amazon Fire HD tablet, which had been repeatedly shutting itself down. After months of trial and error using various AI models, they ultimately found a root exploit through a series of complex interactions with Kimi K3, GLM-5.2, and GLM-5.3. The breakthrough came when Kimi identified an existing vulnerability in the Mali kernel driver that had previously been patched in other devices but remained unaddressed on this particular tablet due to an outdated firmware version. This story highlights the significant capabilities of modern AI models in tackling complex cybersecurity issues, as the user successfully navigated multiple AI platforms to troubleshoot and exploit device limitations. The journey emphasizes a blend of AI-driven reasoning and human guidance, shedding light on the potential for AI to assist in hacking and security research within legal confines. Furthermore, it raises critical concerns regarding software ownership, user rights, and the effectiveness of existing digital rights management practices. The experience showcases both the promise and the challenges presented by AI in cybersecurity, serving as a talking point for discussions on device ownership and the implications of AI ethics in such scenarios.