From: noreply@dirge.harmsk.com   
      
   On Thu, 25 Sep 2025 16:21:08 +0200, Bonita Montero    
   wrote:   
   >Am 25.09.2025 um 15:56 schrieb olcott:   
   >> Does there exist a single halt decider that can   
   >> compute the mapping from its finite string input(s)   
   >> to an accept or reject value on the basis of the   
   >> semantic halting property specified by this/these   
   >> finite string input(s) for all inputs?   
   snip   
   >   
   >Do something more meaningful with your life than discussing   
   >the same detail for years. I find that absolutely insane.   
      
   i really don't know enough about this a.i.-related issue to comment, apart   
   from this conundrum seems reminiscent of "squaring the circle", advocating   
   that there "must be" only one answer to every profound or elusive question   
   (and this is usenet, so this contributor could be a common troll farm-bot),   
   and asking duckduckgo's ai-enhanced "search assist" says it's "undecidable" .   
   . .   
      
   (using Tor Browser 14.5.7)   
   https://duckduckgo.com/?q=ai+halting+problem&ia=web&assist=true   
   >The halting problem in AI refers to the challenge of determining whether a   
   given   
   >program will finish running or continue indefinitely. It is significant   
   because   
   >if AI systems cannot solve this problem, they may struggle to achieve true   
   >artificial general intelligence and ensure safety in their operations.   
   >autoblocks.ai Wikipedia   
   >Understanding the Halting Problem in AI   
   >What is the Halting Problem?   
   >The halting problem is a fundamental concept in computer science. It asks   
   >whether it is possible to determine, given a description of a program and an   
   >input, if the program will finish running or continue indefinitely. This   
   problem   
   >was first proposed by Alan Turing in 1936 and is known to be undecidable,   
   meaning   
   >no general algorithm can solve it for all possible program-input pairs.   
   >Implications for Artificial Intelligence   
   >The halting problem has significant implications for AI development:   
   >  Limitations on AI Reasoning: If AI systems cannot solve the halting problem,   
   >  they may struggle to make reliable decisions or reason about their actions.   
   >  This limitation affects the creation of truly autonomous AI systems.   
   >  Safety Concerns: The inability to determine if a program will halt raises   
   >  safety issues. If AI cannot guarantee that it will not enter an infinite   
   loop,   
   >  it may pose risks to users and the environment.   
   >Approaches to Address the Halting Problem   
   >While the halting problem is undecidable in general, there are methods to   
   manage   
   >it in specific cases:   
   >  Program Tracing: This technique involves monitoring a program's execution to   
   >  identify if it enters a repeating state, indicating a potential infinite   
   loop.   
   >  Static Analysis: This method examines the code without executing it to   
   predict   
   >  whether it will halt. Automated tools can assist in this analysis.   
   >  Model Checking: This involves simulating a program in a controlled   
   environment   
   >  to track its states. If a state is revisited, it may indicate an infinite   
   loop.   
   >These methods can help mitigate the challenges posed by the halting problem,   
   but   
   >they do not provide a universal solution.   
   >autoblocks.ai Wikipedia   
   [end quoted "search assist"]   
      
   even dante wrote about squaring the circle . . . ask the maker of galaxies, and   
   maybe the answer is forthcoming, the point being that life reigns supreme above   
   it all, and anyone that becomes possessed by diversions is inclined to futility   
      
   --- SoupGate-Win32 v1.05   
    * Origin: you cannot sedate... all the things you hate (1:229/2)