In a wide-ranging Roundtables conversation for MIT Technology Review subscribers, journalist and author Karen Hao recently spoke about her new book, Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI. She talked with executive editor Niall Firth about how she first covered the company in 2020 while on staff at MIT Technology Review. They discussed how the AI industry now functions like an empire and went on to examine what ethically-made AI looks like. Read the transcript of the conversation, which has been lightly edited and condensed. And, if you're already a subscriber, you can watch the on-demand recording of the event here.

Now, a few researchers are trying a new approach: harnessing artificial intelligence to zero in on the winning conditions. Specifically, several groups have started using machine-learning tools that can identify patterns in data sets too huge and messy for the human brain to comprehend. The hope is that these tools will help researchers achieve in years what would otherwise take decades. By pointing the way to the fastest and sturdiest processes for generating complexity, they could help us devise a universal theory of the origins of life--one that applies not just on Earth but on any other world. It's early days--but there have already been some significant advances.