Artificial intelligence can feel abstract, so we’ve come to depend on certain narratives to try and make sense of it all. Some of the language we use to describe AI and our interactions with it is rooted in religious ideas. Are you bracing for the apocalypse? Have you been blessed by the algorithm? Have you consulted with a Robo Rabbi lately? The deification of AI, whether it’s done consciously or not, is something Beth Singler studies as a professor of digital religions at the University of Zurich in Switzerland. Marketplace’s Lily Jamali spoke to Singler about religious tropes in the narratives we consume and share about AI.

Layoffs are shaking up the most exclusive corner of Silicon Valley. Bloomberg News’ Sarah McBride says what once was unthinkable in venture capital is now just another sign of the times.

Self-driving technology company Aurora Innovation has plans to commercialize autonomous trucks by the end of next year. So far, the company seems to be on that path in Texas. Here in California, where the company is partly headquartered and has long incubated much of its technology, it’s a different story. The company’s home state may push back on its innovations with California State Assembly Bill 316, which would prohibit any self-driving trucks weighing more than 10,000 pounds from hitting the road without a trained human operator behind the wheel. The legislation’s got the support of labor unions including the Teamsters, who argue it will save jobs and keep California’s roads safe. The bill could be headed to Governor Gavin Newsom’s desk in the near future. Marketplace’s Lily Jamali made a visit to Aurora’s headquarters in the Bay Area and sat down with its CEO, Chris Urmson, and asked him how this bill could halt the company’s advances here in the Golden State.

The Joe Biden administration has begun work on a cybersecurity certification program for online devices and appliances that may be vulnerable to hacks or other invasive cyberattacks. Consumers can basically think of this U.S. Cyber Trust Mark as akin to a nutrition label, but in this case it tells you if your smart speakers, baby monitor or fitness tracker are secure. Marketplace’s Lily Jamali spoke with Stacey Higginbotham, founder and editor of the Internet of Things newsletter, about why getting this program out soon is vital to strengthening national cybersecurity.

Executives of seven tech companies gathered at the White House last month and committed to voluntarily address the risks posed by artificial intelligence. Just days later, a subset of those industry players, including OpenAI, Anthropic and Google, announced the formation of their own regulatory body called the Frontier Model Forum, which they said is focused on the responsible development of powerful AI tools.  The forum is set to have plenty of bells and whistles, including an advisory board and a public library of solutions to support “best practices,” but concrete targets to determine whether the oversight effort is working? Those are a bit more TBD. Marketplace’s Lily Jamali asked Rumman Chowdhury, CEO and co-founder of Humane Intelligence and a responsible AI fellow at Harvard’s Berkman Klein Center for Internet & Society, about the pros and cons of this kind of group.

There’s a lot at stake in the artificial intelligence race, and although it may feel like it’s everywhere, the U.S. AI race is primarily playing out in just a few places — specifically, hubs that offer AI entrepreneurs advantages like capital, talent and more. That helps explain why so many AI companies, patents, job opportunities and so much else are concentrated in Silicon Valley and other very expensive, mostly coastal U.S. cities, said Mark Muro, a senior fellow at Brookings Metro. Marketplace’s Lily Jamali spoke with Muro about that concentration and what it means for AI development going forward.

Every year, grade school students gather at Nasa’s Wallops Flight Facility in Virginia to send science experiments into space. Now, these experiments have to be tiny, fitting into a 6×6 centimeter cube, which can either be flown into space in a research rocket or a scientific balloon. After the cubes are brought back to Earth, the students get together to analyze their experiments and see what happened while they were floating up there for 15 or so hours. This year, hundreds of students from the U.S., Canada and Colombia were in Virginia showcasing their experiments.

There’s a new large language model in town that threatens to out-open OpenAI’s ChatGPT. LLaMa 2, from Facebook parent company Meta, has capabilities roughly in line with big-name competitors. However, it’s also open source, meaning the model’s source code is available for anyone to study or build upon for free. OpenAI, Google and many other artificial intelligence innovators have opted to keep their latest models proprietary. A more open approach has obvious benefits for research and enterprise but can also be advantageous for the companies that put these tools out. Marketplace’s Meghan McCarty Carino spoke with Tom Goldstein, a professor of computer science at the University of Maryland, about the advantages and disadvantages of the open-source approach.

It’s been just a few weeks since the new Threads app burst onto the scene, threatening to be the ultimate Twitter-Killer, or platform formerly known as Twitter-killer. But it’s not just an alternative to the former bird app Threads has promised, but an alternative model of social media. One that is decentralized and interoperable. So how is this model different than the classic flavor most of us are used to? Marketplace’s Meghan McCarty Carino asked Arvind Narayanan, a professor of computer science at Princeton.

It sure feels like we’re on the verge of an artificial intelligence revolution in many workplaces. New tools like chatbots and image generators have taken the tech world by storm, but many businesses across the economy are still figuring out what exactly it means for them. That’s often where firms like Accenture come in. It offers business services and consulting. Last month, Accenture surveyed more than 2,300 C-suite leaders across industries and around the world on their thinking about integrating generative tools into their workflows. Marketplace’s Meghan McCarty Carino spoke with Lan Guan, the global lead for data and AI at Accenture, who said the survey found almost universal enthusiasm.