Billionaire investor Ray Dalio said the booming artificial-intelligence market shows signs of a bubble that will eventually burst. “All great technology changes produce bubbles,” Dalio, the founder of ...

Michael Burry, best known for predicting the U.S. housing crash, said stocks are no longer reacting logically to economic data. "Stocks are not up or down because of jobs or consumer sentiment," Burry ...

What’s changing in global trade and trade policy? How do these shifts affect development and welfare? And how should developing economies respond? These are the core questions driving the Development ...

Opinions abound on this topic. Some see a clear bubble, noting plenty of stock prices that seem to have gotten well ahead of themselves. The stock market itself has been rising robustly for several ...

How do disparities emerge in candidate selection processes? The interactive story “Ranks of Disparity” allows users to navigate a university admissions scenario, rank candidates, and learn how ...

Add Futurism (opens in a new tab) More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Some of ...

A new study published today in Nature has found that X’s algorithm – the hidden system or “recipe” that governs which posts appear in your feed and in which order – shifts users’ political opinions in ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

PCWorld analyzes eight warning signs suggesting the AI industry bubble may burst by 2026, including unsustainable investments, lack of profitability, and consumer dissatisfaction with AI products.

Here's a question with trillion-dollar consequences for the economy. Are we in an AI bubble or not? Planet Money's Jeff Guo runs us through some of the signs economists are looking for to get an ...

Reproducible experiments and testimony presented at a recent webinar suggest LinkedIn’s algorithms systematically reduce the visibility of anyone whose profile doesn't match the patterns the algorithm ...

While the creation of this new entity marks a big step toward avoiding a U.S. ban, as well as easing trade and tech-related tensions between Washington and Beijing, there is still uncertainty ...