Axios

There's one thing uniting big and small tech companies operating in Europe: they can't stand Apple's approach to complying with the European Union's new Digital Markets Act (DMA). The DMA designates six big tech companies as online gatekeepers—Alphabet, Amazon, Apple, ByteDance, Meta, and Microsoft—and obligates them to open their platforms to competition. Apple's DMA compliance plan allows developers to set up alternative app stores and avoid Apple's in-app payment system.

In conversations with a slew of business leaders about the economic implications of generative AI, a recurring theme cropped up: that AI-driven productivity gains are the world's best hope to limit the pain of a demographic squeeze. As computers get better at doing jobs humans have traditionally done, the risk of mass displacement of workers is created. But the flip side is an emerging shortage of working-age humans in most advanced economies and a murky future for globalization, which effectively expands the global pool of workers. The big macroeconomic question for the coming decade is wh

There's no such thing as an AI system without values — and that means this newest technology platform must navigate partisan rifts, culture-war chasms and international tensions from the very beginning. Every step in training, tuning and deploying AI models forces its creators to make choices about whose values the system will respect, whose point of view it will present and what limits it will observe. AI systems' points of view begins in the data with which they are trained — and the efforts their developers may take to mitigate the biases in the data. From there, most systems undergo an

A new report saying billionaire Patrick Soon-Shiong has sunk hundreds of millions of his own money into an unprofitable Los Angeles Times underscores how desperate the news industry is to chart a plan for survival in the digital era. If billionaire owners can't make the L.A. Times or the Washington Post profitable, then the news industry has to ask itself: What can?

A middle road for AI adoption is taking shape, routing around the debate between those who fear humanity could lose control of AI and those who favor a full-speed-ahead plan to seize the technology's benefits.