Is the Internet itself safe, with more and more internet users each day? Should the 'deep internet' be interconnected with all it's hidden information ?
In a time of recession it is clear that gloomy ideas are more common and a very interesting article on nytimes.com discusses the difficulties of the current Internet system as we know it and love it. There are serious security issues with the way Internet enables attacks to be carried out via the Internet on systems, and even how whole sections of the Internet can be throttled through malicious attacks. Defenses or rather ways that it is being patched are referred to as a Maginot Line approach.
There are currently over a billion internet users since December 2008 according to comScore World Metrix. This survey in Canada (in French) shows how even though Internet is starting to dominate the media world, people are still far more likely to trust TV as a source of information than the Internet.
And even though you think that Google is giving you good results this article on the NY times explains that what is called the 'Deep Internet' is holding out on our friends at Google, or is it the other way round... Search engines only cover a small part of the Internet with numerous services and data that is not indexed. But this joins the initial paragraph in that it is probably better that way, since the information is often highly sensitive and should not be available to just anyone...
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 […]