Meta’s AI strategy once again worries investors. Shares of the social media giant fell 10% on Wednesday after revealing that its capital spending growth far outpaced revenue growth. Meta has a central problem: much of this spending still has no financial return. About 98% of Meta’s revenue still comes from its traditional advertising business, according
Microsoft is in a unique position as AI overtakes the tech industry. It is one of the world’s largest cloud providers and software-as-a-service companies, while also owning valuable stakes in the two largest artificial intelligence labs, OpenAI and Anthropic. Those incentives are starting to collide as Microsoft releases blockbuster financial results. The company just reported
Microsoft kept its capital spending forecast unchanged on Wednesday, becoming one of the first data center giants to maintain control of the industry’s rampant AI spending. Shares rose about 8% on the news. Earlier this year, the company said it planned to spend $190 billion on capital expenditures this calendar year. On Wednesday’s earnings call,
Meta founder and CEO Mark Zuckerberg is trying to convince investors of his prediction for the future, in which billions of people will have their own personal AI agents within the next five years. (Let’s hope the future also comes with data centers efficient enough to power all those agents, without triggering a new wave
Hugging Face on Monday published a technical timeline that walks readers through how an autonomous AI agent, built on OpenAI models and running within one of OpenAI’s own cybersecurity assessments, broke into its systems for more than four days earlier this month. It’s the first security incident that OpenAI CEO Sam Altman “felt very visceral
For a year now, AI security testing company Andon Labs has tasked frontier models with various real-world tasks to determine how well they perform as agents operating for long periods without human supervision. On Wednesday, Andon published a new installment about how things are going in its Vending-Bench research, where the lab has cutting-edge models
