We are moving away from chatbots that intermittently hurl absurdities and misinformation at (and as each other and) the world towards autonomous language-processing systems that reason and understand. Whether or not we get there is not as important as that we invoke sufficient degrees of freedom within the process and journey to make it an open possibility.
Cambridge Quantum have released a Natural Language Processing (NLP) toolkit and library in Python that illustrates just how far and fast this technology is progressing. Early days still, but structuring autonomous language processing systems around quantum technologies is likely to (eventually) achieve much more than just dramatically amplify and multithread combinatorial processing power.
As they say in their release: “the compositional structure governing language is mathematically the same as that governing quantum systems. This will ultimately move the world away from the current paradigm of AI that relies on brute force techniques that are opaque and approximate.” This is a journey moving towards language processing systems that actually understand or sufficiently and sustainably emulate comprehension of the semantics of language. The probability and possibility of arrival at that destination remains uncertain but, again, this is all about the process, not the endpoint.
Cambridge Quantum is on point and conducting the preparatory work for the imminent (?) arrival of more powerful quantum computation systems such that when sufficiently vast ensembles of qubits come online, this technological application will quite plausibly engulf aspects of machine learning.
Quantum NLP that writes its own queries and then recursively inhabits, extends and explores the logical spaces this generates? Quite plausible.