2 Mon.16.MAY.2011 -- Achieving AI Mental Stability
Until we devised an AI algorithm for differential PsiDecay in the JavaScript artificial intelligence (JSAI), stray activations had been ruining the AI thought processes for months and years. We now port the PsiDecay solution from the JSAI into MindForth. Meanwhile, Netizens with Microsoft Internet Explorer (MSIE) may point the browser at the AiMind.html page and observe the major open-source AI advance in action. Enter "who are you" as a question to the AI Mind not just one time but several times in a row. Observe that the JSAI tells you everything it knows about itself, because neural inhibition immediately suppresses each given answer in order to let a variety of other answers rise to the surface of the AI consciousness. Before the mad scientist of Project Mentifex jotted down the eureka brainstorm, "[ ] Fri.13.MAY.2011 Idea: Put gradations into PsiDecay?" and wrote the code the next day, the AI Minds were not reliable for mission-critical applications. Now the AI Forthmind is about to become more mentally stable than its creator. We only need to port some JSAI code to Forth.
Posted by Mentifex at 2:07 PM Links to this post Labels: Forth, mfpj, MindForth, PsiDecay, Win32Forth
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Anonymous2019-12-05 21:53
also interesting to note: beact preact be/is confusions -- ai mindforth be memeing since at least 2010
sage
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Anonymous2019-12-05 21:54
Fri.20.AUG.2010 -- Restoring the "recon" System We had to upload the 19aug10A.F MindForth with only semi- successful code that answered a who-query with "BE" instead of "IS". In BeVerb we could force the word "IS" to be selected, but then the wrong predicate nominative was chosen. In our new code we want to explore why the switch from "BE" to "IS" was causing problems.
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Anonymous2019-12-05 21:57
on the other hand, the human writing this has some quite disagreeable opinions. I disagree with just about every single point in this closing paragraph:
"Only the AI that thinks and works is worth studying and reverse-engineering. How we arrived at the working AI will not be anywhere near as important as figuring out how the AI-complete software works, so that AI coders can work on maintaining and improving the AI."