Add source Login
Q&A with Microsoft AI CEO Mustafa Suleyman on defining superintelligence, its application in the medical field, universal basic income, regulation, and more (Mishal Husain/Bloomberg)

Q&A with Microsoft AI CEO Mustafa Suleyman on defining superintelligence, its application in the medical field, universal basic income, regulation, and more (Mishal Husain/Bloomberg)

Mishal Husain / Bloomberg : Q&A with Microsoft AI CEO Mustafa Suleyman on defining superintelligence, its application in the medical field, universal basic income, regulation, and more —  The AI race is entering an uncharted and expensive new phase.  This has been the year of the mega-deal — billions poured into data centers …

Despite talk of an existential US-China AI race, the Chinese state and its major companies are spending more to dominate other domains, such as EVs and robotics (Tim Wu/Financial Times)

Despite talk of an existential US-China AI race, the Chinese state and its major companies are spending more to dominate other domains, such as EVs and robotics (Tim Wu/Financial Times)

Tim Wu / Financial Times : Despite talk of an existential US-China AI race, the Chinese state and its major companies are spending more to dominate other domains, such as EVs and robotics —  Over the past year, major US tech companies have spent more than $350bn on AI-related infrastructure, with projections of over $400bn for 2026.

To build more powerful AI systems, some AI leaders are focusing on pursuing an approach called continual learning, which mimics how people learn over time (Shirin Ghaffary/Bloomberg)

To build more powerful AI systems, some AI leaders are focusing on pursuing an approach called continual learning, which mimics how people learn over time (Shirin Ghaffary/Bloomberg)

Shirin Ghaffary / Bloomberg : To build more powerful AI systems, some AI leaders are focusing on pursuing an approach called continual learning, which mimics how people learn over time —  AI leaders are increasingly talking about the benefits of building models that can keep learning after they've been trained.  But first...