As fires burn in Los Angeles, many people are going online to find ways to support people who have been temporarily or permanently displaced by the disaster. But like we’ve seen in the aftermath of recent hurricanes and floods, bad actors are spreading misinformation and financial scams. Marketplace’s Kimberly Adams spoke with Steve Grobman, chief technology officer at the cybersecurity firm McAfee, to learn more.

Scam calls about fake warranty renewals, non-existent credit card bills and more are still a global problem. But some companies and telecommunication providers are turning to AI chatbots to intercept the calls before they ever reach a real person. Marketplace’s Meghan McCarty Carino recently spoke with Dali Kaafar, founder and CEO of Apate AI, an Australia-based company creating these chatbots, about how his company is designing these bots to scam the scammers.

Since large language model chatbots hit the scene a few years ago, there’s been a lot of speculation about which jobs they might disrupt most. A lot of bets were on customer service. And recent data show they are becoming more common in the space. A Salesforce survey found a 42% increase in the share of shoppers who turned to AI-powered chatbots for customer service during the 2024 holiday shopping season compared to the previous year. But as AI becomes more powerful and more human-like, will AI voice agents become the norm, even for those more complicated customer cases now handled by human agents? The BBC’s Elizabeth Hotson looked into what a future of synthetic customer service might look like.

CES wraps up in Las Vegas this week. That’s the annual convention where some of the most cutting-edge consumer tech is unveiled. And while we still don’t have a prototype for Rosey, the housecleaning robot from “The Jetsons,” we’ll get into some of the big robot reveals for today’s Marketplace “Tech Bytes: Week in Review.” Plus, YouTubers are taking PayPal to court. A class-action suit alleges that the payments company is messing with their commissions on affiliate links. But first, Meta made big changes to its content moderation policy this week. Facebook’s parent company said it’s cutting ties with third-party fact checkers and switching to a community notes system like the one X uses. Marketplace’s Meghan McCarty Carino spoke with Joanna Stern, senior personal technology columnist at The Wall Street Journal, about her takeaways from the announcement.

This week, Meta CEO Mark Zuckerburg announced some big changes to content moderation strategy. The parent company of Facebook, Instagram, Threads and WhatsApp will no longer be contracting with third-party fact-checkers from the media and nonprofits as it has since 2016. Instead, Meta will follow the lead of X under Elon Musk and rely on crowd-sourced Community Notes to provide additional context on posts. Marketplace’s Meghan McCarty Carino spoke with David Gilbert, a reporter at Wired who covers online disinformation and extremism, to learn more about Meta’s latest pivot.

U.S. ports could be facing another strike as the deadline looms next Wednesday to settle a union contract for 45,000 dockworkers on the East and Gulf coasts. A major sticking point has been automation. Proponents argue that technology can make ports cleaner and more efficient; critics point to lost jobs, high costs and mixed productivity results. While the cost-benefit analysis of port automation is complicated, there are places where the model appears to be succeeding, like Rotterdam in the Netherlands.

By now you probably know the term “large language model.” They’re the systems that underlie artificial intelligence chatbots like ChatGPT. They’re called “large” because typically the more data you feed into them — like all the text on the internet — the better those models perform. But in recent months, there’s been chatter about the prospect that ever bigger models might not deliver transformative performance gains. Enter small language models. MIT Technology Review recently listed the systems as a breakthrough technology to watch in 2025. Marketplace’s Meghan McCarty Carino spoke to MIT Tech Review Executive Editor Niall Firth about why SLMs made the list.

A battle is brewing over the restructuring of OpenAI, the creator of pioneering artificial intelligence chatbot ChatGPT. It was founded as a nonprofit in 2015 with the goal of developing AI to benefit humanity, not investors. But advanced AI requires massive processing power, which gets expensive, feeding into the company’s decision to take on major investors. Recently, OpenAI unveiled a plan to transition into a for-profit public benefit corporation. That plan has drawn objections from the likes of Elon Musk, Meta and Robert Weissman, co-president of consumer advocacy group Public Citizen, which urged California authorities to ensure that as OpenAI reorganizes, it will repay much of the benefits it received as a nonprofit.

OpenAI closed the year with a bang, announcing a new, powerful AI model called o3. It could mark a significant step toward artificial general intelligence — an advanced form of AI that can learn or understand anything a human can. Plus, we’re mulling another tech prediction for 2025 — will AI assistants actually make our lives easier this year? But first, President-elect Donald Trump asked the Supreme Court to put the TikTok ban on hold so he might negotiate a deal to save the app in the United States. Marketplace’s Meghan McCarty Carino spoke with Paresh Dave, senior writer at Wired, about all these topics for this week’s Tech Bytes.

Artificial intelligence and promises about the tech are everywhere these days. But excitement about genuine advances can easily veer into hype, according to Arvind Narayanan, computer science professor at Princeton who along with PhD candidate Sayash Kapoor wrote the book “AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference.” He says even the term AI doesn’t always mean what you think.