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|    comp.ai.philosophy    |    Perhaps we should ask SkyNet about this    |    59,235 messages    |
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|    Message 58,749 of 59,235    |
|    olcott to Richard Damon    |
|    Re: D correctly simulated by H proved fo    |
|    21 Dec 25 21:22:46    |
   
   XPost: sci.math, comp.theory, sci.logic   
   From: polcott333@gmail.com   
      
   On 12/21/2025 9:03 PM, Richard Damon wrote:   
   > On 12/21/25 9:57 PM, olcott wrote:   
   >> On 12/21/2025 8:25 PM, Python wrote:   
   >>> Le 22/12/2025 à 03:08, olcott a écrit :   
   >>>> On 12/21/2025 7:35 PM, Mr Flibble wrote:   
   >>>>> On Sun, 21 Dec 2025 17:19:50 -0600, olcott wrote:   
   >>>>>   
   >>>>>> On 6/12/2024 11:50 AM, olcott wrote:   
   >>>>>>>   
   >>>>>>> When we compute the mapping from the input to H(D,D) this must   
   >>>>>>> apply a   
   >>>>>>> set of finite string transformation rules (specified by the   
   >>>>>>> semantics   
   >>>>>>> of the x86 language) to this input.   
   >>>>>>>   
   >>>>>>>   
   >>>>>> The above is my first use applying this term to a halt decider.   
   >>>>>>   
   >>>>>> My first documented use of the term "finite string transformation   
   >>>>>> rules"   
   >>>>>> https://groups.google.com/g/comp.theory/c/TFXhleKnHmY/m/lqhDVnvUBgAJ   
   >>>>>>   
   >>>>>> *This is the basis for my unique definition of a generic decider*   
   >>>>>>   
   >>>>>> Deciders: Transform finite string inputs by finite string   
   >>>>>> transformation   
   >>>>>> rules into {Accept, Reject} values.   
   >>>>>   
   >>>>> D halts, H is not a halt decider.   
   >>>>>   
   >>>>> /Flibble   
   >>>>>   
   >>>>   
   >>>> Turing machine deciders: Transform finite string   
   >>>> inputs by finite string transformation rules into   
   >>>>   
   >>>> It turns out that on the basis of the above definition   
   >>>> and other standard definitions that I have proved   
   >>>> that the halting problem has always been fundamentally   
   >>>> incorrect.   
   >>>>   
   >>>> So far only ChatGPT, Claude AI and Grok totally agree   
   >>>> that I have completely proved my point on that basis.   
   >>>   
   >>> LLMs are a deadly poison for cranks of your kind. Even OpenAI   
   >>> recognized this.   
   >>>   
   >>   
   >> *Not in this specific case*   
   >> Whatever conclusion is derived through correct   
   >> semantic entailment from definitions is a necessary   
   >> consequence of these definitions.   
   >>   
   >> The only issue that I have had with them is:   
   >> (a) They have to be reminded to pay closer attention   
   >> to exactly what was said.   
   >>   
   >> (b) To only form conclusions that are semantically   
   >> entailed from definitions.   
   >>   
   >   
   > Not when the definitions are lies.   
   >   
   > You need to start from CORRECT definitions, and you don't get to change   
   > the definitions in the context you are trying to talk about.   
   >   
      
   Turing machine deciders: Transform finite string   
   inputs by finite string transformation rules into   
   {Accept, Reject} values.   
      
   The theory of computation is fine, it is only   
   the notion of undecidability that is incorrect.   
      
      
   --   
   Copyright 2025 Olcott
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