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 ...
A method for identifying representations of concepts in neural networks could provide a more-effective way to control and monitor artificial-intelligence systems. Read the paper: Toward universal ...
Abstract: Connected vehicle (CV) signal control algorithms are often published as prose, yet deployment requires exact numeric execution; this paper tests whether large language models (LLMs) can ...
Objectives Myositis is a heterogeneous family of diseases that includes dermatomyositis (DM), antisynthetase syndrome (AS), immune-mediated necrotising myopathy (IMNM), inclusion body myositis (IBM), ...
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 ...
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 ...
The goal of this project is to teach AI to devise and implement better algorithms than human programmers. This is done in a self-play loop using language models (such as GPT) to generate and solve ...
One of the consequences of the fast-moving evolution of technology is that we have to come up with new names to describe things. Tech companies and marketers will provide brand and feature names, but ...
Abstract: Memoization is a computational technique for speeding up the complexity of computer algorithms. It stores the previously calculated results and invokes them later in the body of the ...
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