The fact that Accenture is trying to jump on the bandwagon is not much of a surprise. They were there with a suggestion for the international passport and now suggesting a way to provide a useful product/service that isn't just based on a short term objective of making the most money possible...
Although as usual Accenture engaged in scare tactics in order to convince the music industry "If these companies don't make the decision in a timely fashion to adopt this model the consumer will make the decision for them". Based on the music industry's approach to digital music up until now, maybe they do need a bit of electroshock treatment to see the reality of general online music behaviour ?
Nearly all successful online music ventures have provided low costing easy to use systems to download music but as the controversy over iTunes in France has shown many users want to be able to play their music on more than just one device...
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 […]
[...] It seems to me that this is, yet again, an example of the same reaction that the music industry had to MP3 or from a wider perspective to digital music. I already discussed how the will to restrict users so much on what they could do with music and what format it could be in was a really bad move from the music industry. Rather than looking at innovating ways to provide different distribution solutions they spent it on taking people to court which didn't get them much sympathy either. A bit of a Public Relations disaster… [...]
[...] Hey the proprietary formats are ridiculous anyway. [...]