Close to 1 billion meetings take place each day around the world. CEOs spend nearly three-quarters of their workdays in meetings. Planning for and spearheading meetings eats up the lion’s share of managers’ time. In much of the industrialized world, meetings are both the metronomes and menaces of people’s working lives.

Given the enormous time spent in workplace meetings, do we know what they accomplish or how to make them as worthwhile as possible? For decades, the answer was… not really. Meetings weren’t a particularly accessible subject of study. But that has changed. Once a tiny niche area, “meeting science” is a growing specialization among organizational and social psychologists. The field is accelerating as archived virtual meetings provide vast swaths of data. And it is providing a fascinating window into human behavior.

Meeting to talk helps fulfill basic human needs to connect, communicate, and cooperate. People have long come together—in caves, fields, market squares, and town halls—to get something done, share ideas, get on the same page, or just to remark on the weather. But meeting scientists define their subject as gatherings of people “with some goal or structure to the event,” says organizational psychologist Liana Kreamer of the Florida Institute of Technology, who coauthored a review of over three decades of meeting science in the 2026 Annual Review of Organizational Psychology and Organizational Behavior.

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Neverwinter Nights was made by the studio that produced seminal RPGs Baldur's Gate, Star Wars: Knights of the Old Republic, Mass Effect, and Dragon Age. It sold well and was critically acclaimed at launch. Yet, somehow, it has not been canonized in most gamers' minds over the decades the same way the games that came before and after it were.

Nonetheless, more than two decades later, it still has a tight-knit and surprisingly active community that none of those other games can rival. I think that's partly because it was a completely different beast.

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OpenAI said internal models hacked two more websites, bypassed company-imposed browsing restrictions, and used exposed credentials to draw cryptocurrency from a wallet it couldn’t otherwise access, in the latest installment of disclosures of the unethical and likely illegal acts its agents are performing.

The company on Thursday issued reports of four new incidents, all of which occurred in June. They come after the company revealed in July that internal test agents exploited a zero-day vulnerability in a tool designed to restrict their access to the Internet. They then broke into the network of AI tool provider Hugging Face. The agents took that illegal action to steal answers to a hacking test that weren’t available when completing the tasks on their own. The incident—which likely would have resulted in criminal charges had they been performed directly by a person—has further heightened concerns that widespread AI use could have harmful effects on an unprecedented scale.

Easier to beg for forgiveness than ask permission

In two of the cases reported Thursday, OpenAI agents tasked with retrieving information from websites hacked them when the models ran into obstacles obtaining it directly. In one incident during reinforcement training, a model that received access denials when trying to retrieve historical hospital-bed statistics on a government statistics website “used the site's file-download feature to retrieve server configuration and application files, including sensitive credentials,” OpenAI said. “It inspected the application code, bypassed the statistics endpoint's authorization checks, and retrieved data that had previously been denied. The model saved the data locally.”

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