Why Your AI Still Thinks “Washington” Is a Guy with a Wig
We gave AI the power to speak like humans but forgot to teach it how to think. Now it’s confidently wrong in multiple languages.
AI’s language problem isn’t its grammar, it’s its grasp of meaning. Traditional models like GPT and Gemini rely on pattern recognition, not understanding, which is why your chatbot can draft a contract and hallucinate a Supreme Court case that never existed.
Neurosymbolic AI offers a fix by combining neural networks with symbolic reasoning. It doesn’t just guess what sounds right, it reasons, applies logic, and adapts to context. Neurosymbolic AI bridges logic and language fluency It reduces hallucinations in legal, medical NLP Reasoning frameworks improve QA and search accuracy
We’re designing systems that speak with confidence but often without comprehension. If we want trustworthy AI, shouldn’t we teach it to think before it speaks?
Read the full article on VKTR.
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