Nvidia's chief executive, Jensen Huang, has been on an energetic world tour as the company's share price has soared. Nvidia's chief executive, Jensen Huang, has been on an energetic world tour as the company's share price has soared. Nvidia insists it isn't Enron, but its AI deals are testing investor faith The chipmaker's sprawling partnerships are driving extraordinary growth but also bank its future on the AI boom paying off quickly N vidia is, in crucial ways, nothing like Enron - the Houston energy giant that imploded through multibillion-dollar accounting fraud in 2001. Nor is it similar to companies such as Lucent or Worldcom that folded during the dotcom bubble. But the fact that it needs to reiterate this to its investors is less than ideal. Now worth more than $4tn (£3tn), Nvidia makes the specialised technology that powers the world's AI surge: silicon chips and software packages that train and host systems such as ChatGPT.

Pillay is an editorial fellow at TIME. Albania's new AI-generated minister Diella speaks during the parliamentary session for the voting of the new government of Albania, in Tirana on Sept. 18, 2025. Albania's new AI-generated minister Diella speaks during the parliamentary session for the voting of the new government of Albania, in Tirana on Sept. 18, 2025. Pillay is an editorial fellow at TIME. It's been three years since the launch of ChatGPT gave hundreds of millions of people access to a kind of digital genie in their pocket--and things have been getting stranger by the month. Besides billions of AI-generated emails and the technology's widespread disruption of education and cognitive work, in 2025, some people began to fall in love with their AIs.

Could AI relationships actually be good for us? T here is much anxiety these days about the dangers of human-AI relationships. Reports of suicide and self-harm attributable to interactions with chatbots have understandably made headlines. The phrase " AI psychosis " has been used to describe the plight of people experiencing delusions, paranoia or dissociation after talking to large language models (LLMs). Our collective anxiety has been compounded by studies showing that young people are increasingly embracing the idea of AI relationships; half of teens chat with an AI companion at least a few times a month, with one in three finding conversations with AI " to be as satisfying or more satisfying than those with real life friends ".

The battle for AI dominance has left a large footprint--and it's only getting bigger and more expensive. When Sam Altman said one year ago that OpenAI's Roman Empire is the actual Roman Empire, he wasn't kidding. In the same way that the Romans gradually amassed an empire of land spanning three continents and one-ninth of the Earth's circumference, the CEO and his cohort are now dotting the planet with their own latifundia--not agricultural estates, but AI data centers . Tech executives like Altman, Nvidia CEO Jensen Huang, Microsoft CEO Satya Nadella, and Oracle cofounder Larry Ellison are fully bought in to the idea that the future of the American (and possibly global) economy are these new warehouses stocked with IT infrastructure. In the earliest days of computing there were giant power-sucking mainframes in climate-controlled rooms, with co-ax cables moving information from the mainframe to a terminal computer.

Switch 2 games are on sale through Jan. 5 OpenAI is hiring a new Head of Preparedness to try to predict and mitigate AI's harms CEO Sam Altman posted about the role on X, saying the models'are starting to present some real challenges.' OpenAI is looking for a new Head of Preparedness who can help it anticipate the potential harms of its models and how they can be abused, in order to guide the company's safety strategy. It comes at the end of a year that's seen OpenAI hit with numerous accusations about ChatGPT's impacts on users' mental health, including a few wrongful death lawsuits . In a post on X about the position, OpenAI CEO Sam Altman acknowledged that the potential impact of models on mental health was something we saw a preview of in 2025, along with other real challenges that have arisen alongside models' capabilities. The Head of Preparedness is a critical role at an important time, he said.

What can be learned about causality and experimentation from passive data?

Text-to-image diffusion models have made significant progress in generating naturalistic images from textual inputs, and demonstrate the capacity to learn and represent complex visual-semantic relationships. While these diffusion models have achieved remarkable success, the underlying mechanisms driving their performance are not yet fully accounted for, with many unanswered questions surrounding what they learn, how they represent visual-semantic relationships, and why they sometimes fail to generalize.

Vision-language models, such as CLIP, have shown impressive generalization capacities when using appropriate text descriptions.