A marriage of formal methods and LLMs seeks to harness the strengths of both.

According to Demis Hassabis (@demishassabis) on Twitter, Yann LeCun is conflating general intelligence with universal intelligence, emphasizing that both human brains and AI foundation models function ...

Given the importance of recursion in modern linguistics, there ought to be much to commend in Watumull et al.'s (2014) attempt to clarify what recursion is (or ought to be); I have trudged this very ...

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The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

Abstract: In this note we show how to construct some simply-configured N-state binary Turing machines that will start on a blank tape and eventually halt after printing a very large number of ones.

Quanta Magazine Articles on Turing machines In math and computer science, researchers have long understood that some questions are fundamentally unanswerable. Now physicists are exploring how even ...

Modern AI systems have fulfilled Alan Turing’s vision by learning from experience and passing the Turing Test. However, a recent paper stresses their divergence from Turing’s ideal of energy-efficient ...

Researchers are investigating whether large language models (LLMs) can move beyond language tasks and perform computations that mirror traditional computing systems. The focus has shifted towards ...

Large language models (LLMs) have gained significant attention as powerful tools for various tasks, but their potential as general-purpose decision-making agents presents unique challenges. To ...