The Far East was already fragile prior to the US invading Iraq on false pretences. A classified report from US intelligence agencies called "Trends in Global Terrorism: Implications for the United States" concludes that terrorism is now being fuelled by the war on Iraq.
Agencies "found that the American invasion and occupation of Iraq has helped spawn a new generation of Islamic radicalism and that the overall terrorist threat has grown since the Sept. 11 attacks."
New York Times
The discussion about the real motivating factors that led to the war in Iraq, the control of petrol by the US/UK rather than Russia/France that were successfully courting Saddam Hussein, has faded to a whisper. The cost in human lives alone to control the petrol in Iraq is enormous, but this report indicates that secondary effects may be more devastating.
A 30-page National Intelligence Estimate completed in April cites the "centrality" of the U.S. invasion of Iraq, and the insurgency that has followed, as the leading inspiration for new Islamic extremist networks and cells that are united by little more than an anti-Western agenda.
Washington Post
Although this does sound pretty logical, a previous NIE report had concluded Iraq was continuing to make weapons of mass destruction which became part of the pretext for the war on Iraq. The same report only described Bin Laden as a 'terrorist financier', with no mention of Al-Qaeda !
The Bush government explains it is fighting a war on terrorism. The report’s findings contest the effectiveness of how Bush has engaged the war on terror; top US intelligence agencies conclude the war on Iraq is directly helping terrorists to recruit. Are these findings the prelude to a succession of grounds to leave Iraq ? Even if such a move is likely to prompt civil war ?
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 […]