Machine Learning Research

Large language models built by developers in China may, in some applications, be less useful outside that country because they avoid topics its government deems politically sensitive. A developer fine-tuned DeepSeek-R1 to widen its scope without degrading its overall performance.

Microsoft debuted its first official large language model that responds to spoken input.

Most models that have learned to reason via reinforcement learning were huge models. A much smaller model now competes with them.

Anthropic’s Claude 3.7 Sonnet implements a hybrid reasoning approach that lets users decide how much thinking they want the model to do before it renders a response.

OpenAI launched GPT-4.5, which may be its last non-reasoning model.

Typical large language models are autoregressive, predicting the next token, one at a time, from left to right. A new model hones all text tokens at once.

Although large language models can improve their performance by generating a chain of thought (CoT) — intermediate text tokens that break down the process of responding to a prompt into a series of steps.

Replit, an AI-driven integrated development environment, updated its mobile app to generate further mobile apps to order.

xAI’s new model family suggests that devoting more computation to training remains a viable path to building more capable AI.

Browsing the web to achieve a specific goal can be challenging for agents based on large language models and even for vision-language models that can process onscreen images of a browser.

While Hangzhou’s DeepSeek flexed its muscles, Chinese tech giant Alibaba vied for the spotlight with new open vision-language models.

OpenAI introduced a state-of-the-art agent that produces research reports by scouring the web and reasoning over what it finds.

Even cutting-edge, end-to-end, speech-to-speech systems like ChatGPT’s Advanced Voice Mode tend to get interrupted by interjections like “I see” and “uh-huh” that keep human conversations going. Researchers built an open alternative that’s designed to go with the flow of overlapping speech.

Google updated the December-vintage reasoning model Gemini 2.0 Flash Thinking and other Flash models, gaining ground on OpenAI o1 and DeepSeek-R1.

As Anthropic, Google, OpenAI, and others roll out agents that are capable of computer use, new work shows how underlying models can be trained to do this.