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The article explores the implementation of logic programs using abstract stack machines, detailing how different mode assignments for inference rules (such as addition) translate into state machine transitions for computation.
Researchers from the Specula team created SysMoBench, a benchmark evaluating whether LLMs can faithfully model real-world computing systems in TLA+ or merely recite textbook specifications. The benchmark tests 11 systems across four phases and reveals systematic gaps in current LLMs' ability to accurately model system implementations versus reference papers.
This paper introduces RGAO, a retrieval-guided adaptive orchestration framework for multi-agent code generation that dynamically selects topology based on code complexity. It provides a formal budget algebra ensuring provable resource conservation while significantly reducing routing errors compared to baseline methods.
A 2026 blog post revisits M.H. van Emden’s 1982 vision of “Computer-Aided Thought” and argues that today’s conversational LLMs fail to deliver the structured, logic-based, friction-generating interlocutor he envisioned.