The Washington Post writes about the iPod and how with iTunes it holds nearly 70 percent of the market. When I bought my first (and only) iPod several years ago it was a luxury product. The iPod has kept key functions and design concepts while getting smaller thinner and more powerful.
Even though the new iPods are without doubt the best designed portable music players on the market I feel that Apple has not provided as much innovation as I would have expected. The consistent attacks on developers providing software to transfer music from the iPod to your PC (yes computers do crash) and refusing to let iTunes transfer to anything else than an iPod is a real pain. I only own an iPod but I don't like the way Apple is behaving at all !
When you look at Macs, PowerPCs, iMacs etc there is a real innovative strength that is sometimes breathtaking in new models. With the iPod, there is far less innovative strength in my opinion. It must be said, with such an awesome initial design, it may well have rendered innovative 'next steps' far more difficult. But when you think that the iPod is now capable of showing videos why restrict users with such a tiny screen ?
Adding the ability to have the full length of the handheld as a screen would have been a nice touch. Hopefully Apple will be back from the drawing board soon with a new dazzling design that will again be a really unique and luxury item among portable media players.
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 […]