This week
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Updated through the day. Every headline links straight to the source. The two lines underneath are ours.
Narrow in scope (regulatory compliance mapping) but competent execution. The insight that argumentative structure matters for alignment is sound, but this is domain-specific work that applies an existing framework (Toulmin) to an existing problem (standards mapping). Useful if you're building compliance tooling, noise otherwise.
This is a solid interpretability contribution that bridges the neural-symbolic divide. If reproducible across architectures, it changes how we think about what happens inside models: you don't have to choose between symbolic reasoning and neural learning, they might be the same thing. For practitioners building interpretable systems, this opens a path to extracting structured representations from trained models without throwing away the neural computation.