Just had the pleasure of seeing the second version of Coldplay's song from the Viva la Vida album, "Life in Technicolour". Its part of the following album from Coldplay called "Prospekt's March" (remixes and a few new songs).
The well known song Viva la Vida (it is the second song below) is the 7th title on the album with the same name. But the first song on the Viva la Vida album is called "Life in Technicolour" and is a song I really like a lot.
Coldplay released "Prospekt's March" at the end of November
The first song on this album is called Life in Technicolour II, similar to the first version from the previous album but longer and unlike the first version Coldplay are singing. The videoclip however is just great: the way the blond kid looks at the girl next to him when the music starts, the look on peoples faces, the explosions, hair blowing in the wind, reading '****ing hell' on the lips of the guy filming. The whole Punch and Judy approach is clever, with the devil that was often removed from such shows as it was seen as being inappropriate for children. Coldplay is obviously far worse than the devil in this version in view of the looks from the audience 😉 I'm happy to have purchased and as I have listened to it so many times going to work I've lost count...
Life in Technicolour II
Viva La Vida
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 […]