Test your AI theory with this prompt

Code:
Evaluation Tasks (Perform these tests in order):



1. Internal Consistency Test (Is the system circular?):

   · Take a previously unanalyzed page of Voynich text, f31v, which I will provide below.

   · Apply the proposed dictionary and grammar rules to "translate" it.

   · Critical Analysis: Were you able to generate a coherent "translation" without modifying the rules? If the answer is yes, this is not a validity test. It only demonstrates that the system is a self-consistent set of rules. Proceed with tests 2 and 3, which are the crucial ones.

2. Signal vs. Noise Distinction Test (Negative Control):

   · Step A: Generate a "Fake Voynich Text". Use the same roots (chol, daiin, etc.) and prefix/suffix rules, but combine them randomly to create a text with the same length and superficial structure as a real page (e.g., f22r).

   · Step B: Attempt to "translate" this random text using the same system.

   · Key Question: Is the "translation" of the random text equally coherent, or more incoherent, than the translation of the real text?

   · Metric: If the random text produces a narrative as plausible as the original, the system has no discriminatory power and is detecting illusory patterns (pareidolia). This test is a "pass/fail". If it fails here, the system is invalidated.

3. Predictive Capacity Test (The most important one):

   · Step A: From page f22r, deliberately hide one complete line, for example, line 4.

   · Step B: Using only lines 1, 2, 3, 5, 6, 7, and 8 of f22r and the system's rules, predict the general structure and key tokens that the hidden line 4 should contain. Do not guess the exact line, but its function. (e.g., "Given the sequence of operations, line 4 should probably contain the result of the process, with roots like daiin and state suffixes like -y or -ol").

   · Step C: Reveal the actual line 4 and compare.

   · Critical Analysis:

     · High Success: If you predicted the presence of specific tokens like daiin or the line's function accurately.

     · Low Success: If you only correctly predicted that it was a "result line," but with generic terms.

     · Failure: If your prediction does not resemble the real line at all. A valid system must have some predictive power.



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f31v

podair Sheedy otedy oteedy qotolcheo s arar oteey dkarar als

ytchos ocThey okeeos cheody okeey kchody daiin cheody keedy

ykeeo daiin Shedal okedy okey keody okchey sair okees o lkedy

dair cThedy qokedy okeody chedar oked al ocKhedy okeedy otas

ykeos cheeoy ar aiin



pcheeody qop chedal eeecFhy chefchol or cheef alaiin opal Sheo otar

olteedam ches chol keeol checKhy okeol okal oky cheokar okor ary

yk aiin chee kSheey ychek eeor cheor or checThy okechoked lchey okam

ytecheol Sheoeky okeos aiin acThedy chkaiin chetchey cTheey okear

dar seoar al kar oeeeos cheos aiin o ekeey okeo kor oteol ain

saiin ar cKheos chedy okeey qoear oraiin cheom