#neurosymbolic

2 articles

01 ·Large Language Models·★ MEMBER·PAPER·9 min read Paper Explained: Beyond Solver Verdicts — When the Solver Says Yes but the Translation Is Wrong An LLM translates a problem into logic and Z3 solves it. This paper names the failure where the solver's verdict is right but the translation is wrong (VPU), and distills Z3's equivalence check into a Yes/No next-token verifier called GenV. Explained from zero. 02 ·Paper Deep-Dives·FREE·12 min read Symbolic vs. Connectionist — Where a 60-Year Argument Stands Today AI has always had two tribes: one that writes the rules down, one that learns weights from examples. Tracing the Perceptrons book, the collapse of expert systems, and the backpropagation comeback explains why today's LLMs still call calculators and get shackled to grammars.