It is quite interesting to figure out what type of information gets through to people who are thinking about buying especially when it's businesses, that will spend a fair amount of money.
In an article at 'Chief Marketer' called Reasons to Get Evangelical About Evangelism Marketing (link via Mediapost's Marketing Daily), there may be some light shed on this. The article discusses a study from MarketingSherpa partnering with CNET.
Over and above the main results that explain how Word of Mouth, Conferences and Print Magazines came in respectively first second and third (48.3%, 41.9% and print magazines at 40.6%), the article discusses how blogs from 'other technology professionals' came in higher than all other blogs at 19.6%. The stats also have podcasts coming in at 2.7% of answers.
I think that sounds right to me, blogs from companies are not really high for me on a reliability scale, or blogs from traditional magazines and media companies. What I would call independent blogs from professionals are more than likely to get my attention. Why ? Well I consider that all the others have something to gain from evangelising a product or company in the same way that the well known evangelists like Vincent Cerf and Guy Kawasaki do/did don't score high. Even if they start pleading and saying honest this product is really great, it's just too much like selling your soul for my liking.
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 […]