In an article in Liberation today, Margot a student in Toulouse says with humor "Chirac ... Il est hors sujet" (he's off the point). This is a term some teachers used with a sort of wicked delight when I was at High School here in France "Votre Dissertation est hors sujet" they'd say : "Your essay is off the point" in an attempt to crush the student's moral. It's really amusing reading in a national newspaper, about, Margot, a student (not a queen), talking about the president of France in this way.
Early this morning the first details that nearly all newspapers published was that there weren't as many teachers or transport workers on strike and that less people were demonstrating than on the 28th. By this afternoon similar stories with a "there weren't as many people on strike" approach was prominent in most online additions to the day's news. By 3 o'clock there were stories appearing about the fact that universities/students were showing signs of more radical approaches. Then finally after around 4 o'clock the online stories were describing demonstrations with most probably as many people demonstrating as on the 28th. After 5 o'clock Liberation titles "les défilés anti-CPE ont rassemblés au moins autant de monde que la semaine dernière" : "The Anti CPE marches gathered at least as many people as last week"
I don't think I conceive it as any attempt to manipulate opinions but rather the journalists' reserve, making sure the information is correct before publishing. It was however pretty weird to see so many people were marching by compared, to last week and reading that far less people were on strike. I'm guessing this was more to do with the fact that knowing how many teachers are on strike is far easier to follow. On the other hand knowing how many people are going to be marching in the streets, unhappy about losing what their parents and grand parents have fought to obtain, is a lot harder to tell...
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 […]
Am I cynical! It was a lovely day today - warmer as the day went on. People were sitting outside cafes enjoying a drink and a chat in the sun. Last week it poured down.