On 8/11/2025 3:17 PM, olcott wrote:>>
The basis of my work is summed up quite well by
Google [x86utm operating system].
I created the x86utm operating system so that any C
function can emulate any other C function in
debug_step mode.
HHH creates a new process context and emulates DD.
When DD calls HHH(DD) then the original HHH emulates
this new instance of itself that creates another
process context to emulate its instance of DD. Then
this DD calls yet another instance of HHH(DD). The
only limit to recursive depth is memory.
Claims to have solved the halting problem usually stem from one of a few common misunderstandings:
Solving for a specific subset: They might create a program that can correctly predict the halting behavior of a limited class of programs, perhaps those without loops or those with a clear, finite upper bound on their recursion. They then mistakenly assume this partial solution
applies to all possible programs.
Confusing a program with a Universal Turing Machine: They might write a program that can analyze the code of another program, but they don't
grasp the paradoxical machine that Alan Turing used to prove the problem
is unsolvable for all programs.
Ignoring the theoretical model: The halting problem's proof applies to
the idealized model of a Turing Machine, which has infinite memory and infinite time. In the real world, every program will eventually halt due
to resource constraints (like stack overflow, as you mentioned), but
this doesn't solve the logical problem of predicting behavior for a theoretically infinite machine.
The reason the Halting Problem is so widely accepted as unsolvable is because the proof is a solid, mathematical argument that has withstood decades of scrutiny. It's not a matter of opinion or a technical hurdle
to be overcome; it's a fundamental truth about the limits of computation.
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