Hallucinations, factual errors, a decrease in public interest, and a plunge in investment —all of those and more have been mentioned recently in news and comments that appear to be the harbinger of a serious setback for Generative AI. Some have even called for the demise of the AI “bubble,” something they “predicted an extended time ago.”
On this post, I discuss how the present hurdles of Generative AI systems might be (have been?) mitigated with the assistance of the nice old symbolic reasoning.
But let’s first explain those current hurdles.
Take, as an example, something as basic as arithmetic. I asked yesterday to ChatGPT how much is the cubic root of 123,456.78, getting 49.3989 as the reply. Then I asked ChatGPT to multiply 49.3989 by itself two times, supposedly getting back to my 123,456.78 number, and –no kidding– ChatGPT got here with 123,456.78 because of this, supposedly verifying the correctness of its operation. I could have believed it, but simply to be certain, I made the operation with a calculator and multiplying 49.3989 by itself two times got 120,545.73, which is nearly 3,000 units away from the intended result. Which means, after all, that the primary operation (the cubic root) was improper within the…
