Trump's grand plan to reshape the world order leaves Europe with a difficult choice to make For 80 years, what bound the United States to Europe was a shared commitment to defence and a common set of values: a commitment to defend democracy, human rights and the rule of law. That era was inaugurated in March 1947 in an 18-minute speech by President Harry Truman, in which he pledged US support to defend Europe against further expansion by the Soviet Union. America led the creation of Nato, the World Bank, the IMF and the United Nations. And it bound itself into what became known as the rules-based international order, in which nation states committed to a series of mutual obligations and shared burdens, designed to defend the democratic world against hostile authoritarian powers. Now, the new US National Security Strategy (NSS), published in December, signals that, for the White House, that shared endeavour has ended; that much of what the world has taken for granted about America's role is over.

By the end of 2025, the world felt newly unsettled. Donald Trump's return to the White House reshaped the context for nearly every major story, sending tremors through conflict zones and alliances alike. Added to that was the rapid advance of artificial intelligence, inspiring both optimism and anxiety about where humanity was headed next. It was as if the global chessboard were being reset, with the post-World War II order giving way to something new. President Donald Trump pumps his fist as he delivers his inaugural address at his inauguration as the 47th president in the Rotunda at the Capitol in Washington on Jan. 20.

Racism and intolerance on social media contribute to a toxic online environment which may spill offline to foster hatred, and eventually lead to physical violence. That is the case with online antisemitism, the specific category of hatred considered in this study. Tracking antisemitic themes and their associated terminology over time in online discussions could help monitor the sentiments of their participants and their evolution, and possibly offer avenues for intervention that may prevent the escalation of hatred. Due to the large volume and constant evolution of online traffic, monitoring conversations manually is impractical. Instead, we propose an automated method that extracts antisemitic themes and terminology from extremist social media over time and captures their evolution. Since supervised learning would be too limited for such a task, we created an unsupervised online machine learning approach that uses large language models to assess the contextual similarity of posts. The method clusters similar posts together, dividing, and creating additional clusters over time when sub-themes emerge from existing ones or new themes appear. The antisemitic terminology used within each theme is extracted from the posts in each cluster. Our experiments show that our methodology outperforms existing baselines and demonstrates the kind of themes and sub-themes it discovers within antisemitic discourse along with their associated terminology. We believe that our approach will be useful for monitoring the evolution of all kinds of hatred beyond antisemitism on social platforms.

Some technological advances are so great that they create ruptures in our understanding of what is possible. Eighty years ago, such a rift took place via the invention of the atom bomb, transforming the way we conceive of warfare and global order. From artificial intelligence to synthetic biology, experts and policymakers are beginning to dissect the potential consequences of adding unfamiliar, highly advanced, and potentially devastating new additions to the toolboxes of adversarial powers. When referring to world order, we often operate within a'Great Power' discourse and assume that geopolitical disruptions require geopolitical might. The democratisation of destructive technologies, however, will likely create the conditions for smaller non-state actors, and even individuals, to have a greater impact on an international level.

The world's countries should pay attention to the ocean ecosystem collapse to prevent ecological catastrophe. Technological Disruption is a continuing unannounced world war. The A.I. and Quantum Computing capabilities are the two major branches. Since 1951, A.I. applications have been operating on the University of Manchester's Ferranti Mark 1 computer. The main issue has been a lack of processing capacity to execute and calculate increasingly complicated lines of A.I. algorithms in a shorter amount of time.

This ramble will serve as the prelude to the AI Trend trader service (this service, for now, is only available to Market Update Subscribers) There is just too much to discuss on this topic, so this will be one of many updates. Most of the experts have it wrong because they are thinking of AI in human terms. If you want to remain relevant, do whatever you do with passion. Try to offer the best possible service at the best possible price. The best price does not mean free; it refers to a fair price, a completely forgotten concept in today's world.

Rabindranath Tagore once said, "Faith is the bird that feels the light when the dawn is still dark". The darkness that looms over the world at this moment is the curse of the COVID-19 pandemic, while the bird of human freedom finds itself caged under lockdown, unable to fly. Enthused by the beacon of hope, human beings will soon start picking up the pieces of a shared future for humanity, but perhaps, it will only be to find a new, unfamiliar world order with far-reaching consequences for us that transcend society, politics and economy. Crucially, a technology that had till now been crawling -- or at best, walking slowly -- will now start sprinting. In fact, a paradigm shift in the economic relationship of mankind is going to be witnessed in the form of accelerated adoption of artificial intelligence (AI) technologies in the modes of production of goods and services.

We live in a world where increasingly globalisation is under threat. The biggest threat comes from trade wars, started by Mr Trump, that could significantly harm the world economy. Last year already, the International Monetary Fund warned that Trump's trade war could cost the global economy $430 billion in 2020. As the IMF's report states, all countries will suffer, but the USA the most. Trade wars are bad for the global economy as, in the interconnected world that we live in, it will affect everyone; from small business to large conglomerates.

Which countries are the top data producers? After all, with data-fueled applications of artificial intelligence projected, by McKinsey, to generate $13 trillion in new global economic activity by 2030, this could determine the next world order, much like the role that oil production has played in creating economic power players in the preceding century. While China and the U.S. could emerge as two AI superpowers, data sources can't be limited to concentrations in a few places as we have with an oil-driven economy -- it needs to be drawn from many, diverse sources and future AI applications will emerge from new and unexpected players. The new world order taking shape is likely to be more complex than a simple bi-polar structure, especially since data is being produced at a pace that boggles the mind. Building on our past work mapping the digital evolution and digital competitiveness of different countries around the world, we wanted to try to locate the deepest and widest pools of useful data. This is essential to run the myriad machine learning models critical to AI.

Every day brings considerable AI news, from breakthrough capabilities to dire warnings. A quick read of recent headlines shows both: an AI system that claims to predict dengue fever outbreaks up to three months in advance, and an opinion piece from Henry Kissinger that AI will end the Age of Enlightenment. Then there's the father of AI who doesn't believe there's anything to worry about. Meanwhile, Robert Downey, Jr. is in the midst of developing an eight-part documentary series about AI to air on Netflix. AI is more than just "hot," it's everywhere.