Sakana AI has opened a Recursive Self-Improvement Lab to test whether AI systems can help redesign and optimize future AI systems, a bet aimed at reducing frontier AI’s dependence on brute-force ...

Abstract: Large language models (LLMs) trained on code-completion have been shown to be capable of synthesizing simple Python programs from docstrings [1]. We find that these code-writing LLMs can be ...

Recursive language models (RLMs) are an inference technique developed by researchers at MIT CSAIL that treat long prompts as an external environment to the model. Instead of forcing the entire prompt ...

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Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have introduced Recursive Language Models (RLMs), an inference-time paradigm that fundamentally reimagines how ...

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental. JITing, or “just-in-time” compilation, can make relatively slow ...

Deep learning approaches to 3D shape segmentation are typically formulated as a multi-class labeling problem. Existing models are trained for a fixed set of labels, which greatly limits their ...

If you’ve hit a performance wall with Python in production, you’re not alone. Even the cleanest code can underperform if it doesn’t scale well, respond quickly, or make efficient use of system ...

Microsoft’s Copilot generative AI is popping up on the web, in mobile apps, in the Edge browser, and especially in Windows. But just what exactly is it? Here’s everything you need to know. I've been ...

We propose recursive cascaded networks, a general architecture that enables learning deep cascades, for deformable image registration. The proposed architecture is simple in design and can be built on ...