At Christmas along with "Presentation Zen" and Andy Clarke's "Transcending CSS" book I got Seth Godin's "Tribes: We Need You to Lead Us". Now 'Tribes' sets out at full pace to sway you to the idea that there are tribes out there that are succeeding due to a leader etc. If you compare this to twitter you start seeing the full potential of twitter. Godin's idea of tribe power fits perfectly with twitter. I don't really agree with Godin's idea of not asking permission. His principal of asking for forgiveness later, just doesn't work for me, but there are some interesting points and examples. The passion of a leader plus the efficiency of twitter for communicating to the 'tribe' and you have a powerful combination that can be really successful.
Funnily enough this idea comes across in the article written by David Pogue about Twitter. The article is nice starting point for people that have not used twitter before. I only signed up recently although had used it on a friends blackberry to ask his followers a question. But there were things I learned about this now trendy system called twitter, notably that it is just dead simple.
If you have a passion and need to communicate with your followers quickly and efficiently, then twitter may well be your answer. Check out the 'tribes' approach while you're at it...
Note: interesting article here about how twitter seems to be past the days of really needing to find a business model !
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 […]