Hands up, if you like being told what is going to happen during or at the end of a film, tv series, book etc. ??
I just started reading an article on the Guardian about the new Basic Instinct film with Sharon Stone. I'm not even going to link to the article because in about three paragraphs the journalist gives details of the inital plot and carries on to outline where the film goes from there... ???
I mean yeah OK you get from the start the journalist makes it pretty clear that Basic Instinct 2 is not as good as the first film but is that a reason to spoil it all for everybody. Maybe it was just revenge, because the journalist didn't appreciate having to sit through the film and missed a date that was expected to be life-changing ?
The concept of showing what happens next can't bother everybody though because more an more tv series are going in for different variations of the concept. For example the american series NCIS seems to be having every 15 minutes or less a black & white picture from 5 minutes further on in the film. When I was in New York so many of the series I got glimpses of seemed to show scenes from the following episode that gave away more than often the plot of the next episode. They also do this in a candian series that I really like called ReGenesis, so I have to remeber to quickly jump on the TV mute or off switch in order to stop them from spoiling it for me...
I'm just curious as to whether this in aid of people that find the plots of these series too complicated and giving the plot away may help them understand who the bad guys are or hopefully whether they are just to entice people to watch the next episode. In any case I have a principle with films that if they give you a complete summary of what goes on in the film in the trailer/preview, then the film is 9 times out of ten, not worth watching. I'm starting to think this may apply to series as well !
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 […]