Marketplace Tech

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.