So, do you know what a "hubster" is ?
Wal-Mart would like everybody to think that it is a community member of the Wal-Mart "The Hub". The Wal-Mart ad company GSD&M would also like to think of this first and foremost. However as this blog points out, in the US, hubster is often used to talk about someone's husband ex. "Hubster and me are going to the supermarket".
The Wal-Mart project of an online community was pretty much ripped to pieces by AdAge in well written and well researched article a few days ago. It certainly does seem that Wal-Mart's Ad company has not only relinquished any originality in it's Hub project to MySpace but also dropped all hope of sincerity as well. It just seems as though no real spirit or sincerity stands out except lure kids in under the Wal-Mart banner and hand out a few presents. As the quote below explains the freedom kids always aspire is out of the door with Wal-Mart. There are many other ways to deal with kids security issues that don't involve stopping them from doing anything!
As the Ad Age article explains :
It's a quasi-social-networking site for teens designed to allow them to "express their individuality," yet it screens all content, tells parents their kids have joined and forbids users to e-mail one another. Oh, and it calls users "hubsters" a twist on hipsters that proves just how painfully uncool it is to try to be cool.
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 […]