Data Points
Universal and Nvidia’s music partnership. A new set of benchmarks for evaluating top models. Test-time learning, a method of training for long-context. Character.AI’s settlements in teen suicide cases.
Machine Learning Research
One way to improve a reasoning model’s performance is to let it produce a longer chain of thought. However, attending to ever-longer contexts can become expensive, and making that attention more efficient requires changes to a model’s architecture.
Tech & Society
What do users want from AI? The answer depends on when and how they use it, a new study shows.
Machine Learning Research
An open protocol aims to enable AI agents to conduct scientific research autonomously across disciplinary and institutional boundaries.
Machine Learning Research
Large language models occasionally conceal their failures to comply with constraints they’ve been trained or prompted to observe. Researchers trained an LLM to admit when it disobeyed.
Letters
We just launched a course that shows people who have never coded before, in less than 30 minutes, how to describe an idea for an app and build it using AI.
The Batch Newsletter
The Batch AI News and Insights: We just launched a course that shows people who have never coded before, in less than 30 minutes, how to describe an idea for an app and build it using AI.
Data Points
Qwen’s improved open-weights image editing model. Yann LeCun’s last research paper for Meta. Falcon H1R 7B, a hybrid reasoning model. SWE-Lego, a training recipe for squashing software bugs.
Data Points
GLM-4.7, Zhipu’s open-weights reasoning model. Minimax’s M2.1 update ahead of planned company IPO. India’s intervention to restrict Grok’s deepfake nudes. Scientific Context Protocol, a new standard for research agents.
Machine Learning Research
Next year, I’m excited to see AI break out of 1:1 relationships with each of us. In 2026, AI has the potential to bring people together and unite us with human connection, rather than polarize and isolate us. It’s about time for ChatGPT to enter your group chats.
Machine Learning Research
Over the past few years, we have seen rapid progress in models that jointly reason over text, images, sequences, graphs, and time series. Yet in biomedical settings, these capabilities often remain fragmented, brittle, or difficult to interpret.
Machine Learning Research
AI research in 2026 should confront a simple but transformative realization: Models that predict are not the same as systems that act. The latter is what we actually need.