I have read various articles about how you should not leave your old PC with just anybody, more specifically your hard drive, and use software like cyberscrub myself. I was not surprised to read that Smartphones retain extremely sensitive information about you, even after a reset. WashingtonPost explain how a Smartphone user had encrypted banking details but that emails, pictures and contacts were not properly deleted.
It seems understandable since the procedure of deleting files on a hard drive with a 3+7+3 type method or the Gutmann method to stop even hardware recovery are unknown to most people. Smartphones work in the same way as hard drives in that they use pointers a type of File Allocation Table to indicate where a file is. Deleting a file doesn't actually delete the data, it deletes the pointer that indicates where the file is in the memory. This means the file is still there and some clever software can retrieve it.
BlackBerry devices are in theory among the most secure of smart phones, Schroader said. However, those used by consumers lack the same security features as those used by government and private companies, Laudermilch said. "Even though there may be some security features on the device, most people don't know how or when to use them," he said.
Checking the specific Smartphone company support site often reveals how to properly erase your data should you want to part with the phone. Don't let your smart phone give away vital information about you !
I question the reliability and accuracy of Generative AI (GenAI) in enterprise scenarios, particularly when faced with adversarial questions, highlighting that current Large Language Models (LLMs) may be data-rich but lack in reasoning and causality. I would call for a more balanced approach to AI adoption in cases of assisting users, requiring supervision, and the need for better LLM models that can be trusted, learn, and reason.
I discuss my experience with chatbots, contrasting older rules-based systems with newer GenAI (General Artificial Intelligence) chatbots. We cannot dismiss the creative capabilities of GenAI-based chatbots, but these systems lack reliability, especially in customer-facing applications, and improvements in the way AI is structured could lead to a "software renaissance," potentially reducing society's technical debt.
The article discusses the contrasting debate on how AI safety is and should be managed, its impact on technical debt, and its societal implications.
It notes the Center for AI Safety's call for a worldwide focus on the risks of AI, and Meredith Whittaker's criticism that such warnings preserve the status quo, strengthening tech giants' dominance. The piece also highlights AI's potential to decrease societal and technical debt by making software production cheaper, simpler, and resulting in far more innovation. It provides examples of cost-effective open-source models that perform well and emphasizes the rapid pace of AI innovation. Last, the article emphasises the need for adaptive legislation to match the pace of AI innovation, empowering suitable government entities for oversight, defining appropriate scopes for legislation and regulation, addressing ethical issues and biases in AI, and promoting public engagement in AI regulatory decisions.
Japan has made its ruling on the situation between Content creators and Businesses. Japanese companies that use AI have the freedom to use content for training purposes without the burden of copyright laws. This news about the copyright laws in Japan reported over at Technomancers is seen as Businesses: 1 / Content Creators: 0 The […]