I've been reading a few articles about the next big thing being advertising on cell phones. I already hate it when I get adverts from my cell phone service provider about something I don't want. So I am sure I don't want to start getting adverts from companies that I have no relationship with whatsoever. Especially if my cell phone provider is making money from it on top of the hefty bills I pay, well I will change to another company that values my privacy more, that's for sure.
I wouldn't mind it if messages I got were useful like "Hey this is your computer you forgot to switch me off again !", "Did you remember you have a dentist's appointment at 4 o'clock ?" (well maybe that would be a nicer one to forget actually)...
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 […]
Well it's moved one step nearer. Virgin, i.e. Richard Branson has sold his Virgin mobile company to NTL (nasdaq, communications) for $1.57b with Virgin's name on all products!!!
Global - mobile