It is an increasingly familiar experience. A request for help to a large language model (LLM) such as OpenAI’s ChatGPT is promptly met by a response that is confident, coherent and just plain wrong.

To better understand decision-making, researchers can create computational models—groups of equations that aim to predict what decisions people would make when faced with a set of choices. For example ...

With powerful video generation tools now in the hands of more people than ever, let's take a look at how they work. MIT Technology Review Explains: Let our writers untangle the complex, messy world of ...

Type in a question to ChatGPT and an answer will materialise. Put a prompt into DALL-E 3 and an image will emerge. Click on TikTok’s “for you” page and you will be fed videos to your taste. Ask Siri ...

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There’s a lot more to modeling than being “really, really, ridiculously good-looking” (to quote Derek Zoolander)—money is also often required to break into the industry. Still, with enough ...

What if you could create intricate, professional-grade 3D printable designs without years of sculpting experience or expensive software? It might sound too good to be true, but AI is transforming 3D ...

The Chinese AI company DeepSeek released a chatbot earlier this year called R1, which drew a huge amount of attention. Most of it focused on the fact that a relatively small and unknown company said ...

For large language models (LLMs) like ChatGPT, accuracy often means complexity. To be able to make good predictions, ChatGPT must deeply understand the concepts and features that are associated with ...

New research suggests that AI memory systems can degrade model performance and encourage sycophantic tendencies.