Yesterday I posted a video about a cat, sorry cats, that talk to their owners. Today I was reading an article on the Guardian about blogs and rewards they gave out to blogs they considered worthy. Well there is this blog called Scaryduck and well I took a look at it and why it came first is beyond me especially when you look at the runners up...
A runner up called imakecontent is really interesting, notably this article that talks about how several US TV channels are just airing content directly from the PR guy's mouth without checking it and sometimes even trying to disguise it as news !!
Then I came across blogjam that I find nicely written, nicely presented and funny. Also Charlotte (from one of the plays) would love it ! Why ? Well, she's not a teenager but she likes dogs, cats and babies, I'm not really sure of the order here but I'm sure going to be sending her the link to kittenwar.com so she click away to her hearts content. I can just see her going "aaaah", "oooh look at that one" "Oh isn't that one cute". Although frankly I'm a bit worried that Charlotte might mess her exams up being stuck in front of kittenwar.com and not being able to pull away from it. Why ? Well don't tell anyone but I have just clicked through (hold on let me count) 26 cats ! Yeah OK kittens look cute and some cats look nice, but just imagine what Charlotte is going to be like who luuves cats. Maybe not a great idea. Maybe I should wait until after her exams... 😉
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 […]