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Charlie Marsh announces that the 'ty' tool now supports all 22 cases of control flow analysis and type narrowing for advanced pattern matching.
This article argues that modern AI, from Logic Theorist to large language models, remains fundamentally a syllogism machine that manipulates patterns without genuine reasoning or a world-model, echoing the unsolved frame problem.
MathFormer is a small seq2seq model that achieves ~98.6% accuracy on symbolic math tasks, suggesting that mathematical reasoning in LLMs may be large-scale structured pattern completion rather than true reasoning.
tropius is a CLI tool that detects AI writing tropes in prose using Aho-Corasick pattern matching and structural detectors, based on a trope list from Tropes.fyi.
This paper introduces CF-World, a counterfactual benchmark to evaluate whether text-to-image models rely on causal reasoning or mere pattern matching. Experiments show all models degrade sharply in counterfactual settings, suggesting their understanding is limited to tightly coupled visual-textual patterns rather than genuine causal reasoning.
A practical guide outlining seven prioritized security layers for AI agents before production, including hardening system prompts, adversarial testing, input/output scanning, and multi-turn session tracking, based on findings that 73% of production AI deployments have prompt injection exposure.
Revo is a new programming language that features clean data flow without nesting, errors-as-values, everything as expressions, compile-time execution, and procedural macros.
This paper argues that recent claims about LLMs' ability to introspect are not justified, as behavioral evidence alone cannot distinguish genuine introspection from pattern matching on surface-level cues. The authors re-examine two evaluation paradigms and find that models rely on input-level features rather than genuine access to internal states.