Jailbreak Becomes a Common AI Use
Anthropic, an AI company based in San Francisco, supports the revised California AI regulation bill, SB 1047, stating that its benefits likely outweigh its costs. The bill mandates safety testing and emergency shutoffs for advanced AI models. Despite initial concerns about stifling innovation, Anthropic believes the amendments have improved the bill, though some issues remain.
Major tech companies like Google and Meta oppose the bill, fearing it could hinder AI development in California, while OpenAI prefers federal regulation to avoid state-level legal uncertainties.
![Pixel 9 Pro Review Image](https://cdn.arstechnica.net/wp-content/uploads/2024/08/IMG_51333-800x600.jpg)
AI Chatbots in Daily Life
A study of 200,000 users interacting with a ChatGPT-like AI called WildChat revealed diverse uses of generative AI models. According to The Washington Post, 16% of queries were from students seeking homework help, while 7% attempted to bypass restrictions on sexual content. Users also sought personal advice, assistance with planning Dungeons & Dragons campaigns, and a cheap source of second opinions, highlighting the broad applications of AI chatbots in daily life.
![AI in Daily Life Example Image](https://i.pinimg.com/736x/81/25/5e/81255e73f431ec9623c73644a64df225.jpg)
In the latest review of the Pixel 9 Pro, Google’s integration of its Gemini AI takes center stage, showcasing a substantial shift in how the smartphone harnesses AI capabilities. This advanced AI assistant, central to the Pixel 9’s functionality, is a versatile tool that handles tasks ranging from real-time image editing to complex query responses. However, the transition from Google Assistant to Gemini AI isn’t seamless, with noted misinterpretations and errors requiring user verification.
![Google Pixel 9 and Pixel 9 Pro Image](https://i.ytimg.com/vi/MsAPm8TCFhU/maxresdefault.jpg)
For enthusiasts and professionals in the AI field, the implications are significant. Gemini AI represents a leap towards more integrated and omnipresent AI in consumer technology, but it also highlights the ongoing challenges in achieving reliable AI user interactions. This review underscores the balance between innovative AI features and the practical reliability required for daily use, a key consideration for developers and users alike in the evolving landscape of AI technology.