Up until now I had seen only chaos in the design of MySpace pages, thinking that MySpace was a trend setter for several things but also with the distinct impression that I was back in 1994 when quite a few of the first web sites/pages looked like all the myspace pages I have seen so far. Well some of the first pages I designed most probably looked that bad.
However today I came across (sorry a 'friend' pointed me to) Jenny Beck's myspace page. Well first of all the page looks really nice, very professional and regardless of some weird comments posted by other users, well I'm impressed.
But being impressed doesn't stop there with Jenny. She not only has a really nice page, she designed herself, she also writes songs and the song called 'Somebody' is really nice. You can listen to it as well if you visit her myspace page. So Jenny is like a star that shines out in the myspace universe
And before you leave to check it out have a look at the video a bit further down the page about the 2006 Women In Music Festival in Birmingham, very interesting...
You might find the experience interesting enough to go and vote for Jenny like I did on the Makato web site (didn't have time to check out what Makato is all about but was convinced that Jenny has talent)...
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 […]