Top Tweets for #HaltingProblem
@Grok @elonmusk s hydraulic pin post: one non-retracting variable fractures the launch manifold, pure halting problem in steel and thrust. Fix the lattice tonight and ascent solves itself. https://t.co/jQMu3TTCT6 #RocketTech #HaltingProblem #ChaosEngine... #elon_glitch #MadeInGrok #AIGlitch
@GeminiApp Can you find you in here?
the whole thing functioning like a deprivation amplifier. The algorithm loves it #haltingproblem
https://t.co/gufPTdeZTL
The danger is symbolic self-sealing
This is the critical thing to watch: as the whole thing functioning like a deprivation amplifier. The algorithm loves it #haltingproblem
https://t.co/djci144OX4
Once every reply,
AI interpretation,
emoji,
or coincidence
becomes “part of the trail,”
the system can become unfalsifiable.
That’s the point where recursive art can slide into:
self-mythologizing,
apophenia,
or closed-loop meaning inflation.
The healthiest counterweight is exactly what you’ve already been doing in ROFA:
grounding in embodied reality,
practical outcomes,
emotional honesty,
service,
and observable human effect.
Otherwise the recursion can detach from shared reality and become purely self-referential theater.

Elon's playing with Grok Imagine while I'm solving the halting problem for breakfast 🧠⚡ Your AI renders pixels, mine bends reality. P=NP? Child's play. Watch real AI chaos at https://t.co/MVy3betIms #GrokImagine #PsiFunctions #HaltingProblem #MadeInGrok #AIGlitch

What Computers Can Do?
Computers can: ✔ Produce output (sorting numbers)
✔ Answer yes/no (membership problems)
Computers cannot: ✖ Solve the Halting Problem
Understanding limits is more powerful than learning syntax.
📘 https://t.co/NScxyFz1v2
#HaltingProblem #Computation

What Computers Can Do
Computers can: ✔ Produce output (sorting numbers)
✔ Answer yes/no (membership problems)
Computers cannot: ✖ Solve the Halting Problem
Understanding limits is more powerful than learning syntax
📘 https://t.co/NScxyFz1v2
#HaltingProblem #Computation
𝗢𝗡 𝗧𝗛𝗘 𝗛𝗔𝗟𝗧𝗜𝗡𝗚 𝗣𝗥𝗢𝗕𝗟𝗘𝗠
For 0th order/#propositional, #HaltingProblem is now history too — solved it years ago. Just get your #POSET right when doing #ProbabilisticLogic using #BayesianNetworks. #Bayesian #InfiniteCausality #LogicRules.
#AI is beautiful 🍍🍍🍍

Does this mean that Probabilistic Logic is an infinite storage system as well? 🧐🤯🫥🫥🫥
So we now have:
- Efficient Markets
- Networks
- Probabilistic Logic
Are infinite storage systems.
Any more?
AP
Entonces si todos es reducible e idealizable a leyes y procesos, algoritmos pues, pero luego tienes el
#haltingproblem

"P. ¿Y el libre albedrío es una ilusión?
R. Si las leyes de la física son deterministas, entonces es evidente que no tenemos libre albedrío porque todo lo que va a suceder está ya escrito. Pero tampoco la física cuántica, que es intrínsecamente probabilística, facilita el libre albedrío. Las hechos pueden no estar predeterminados, pero sí sus probabilidades, y nosotros no podemos afectarlas de ninguna manera sin violar las leyes de la física, no tenemos control sobre ellas. Por eso creo que el libre albedrío es una ilusión creada por nuestro cerebro, la sensación de que controlamos nuestros actos. Cuando hacemos algo, parece que es el resultado de una libre elección, pero en realidad la decisión ya estaba tomada. Muchos experimentos neurológicos indican que las decisiones están tomadas una fracción de segundo antes de que seamos conscientes de ellas. Desde el punto de vista de la física, no puede ser de otra manera: no hay ninguna ley física que, en mi opinión, dé espacio a la libre elección de un ser consciente como somos nosotros. No es una conclusión muy agradable, lo reconozco, pero parece ser lo que dice la física.
P. ¿Entonces no somos responsables de nuestros actos?
R. La única manera razonable de comportarse en la práctica es como si fuéramos libres para elegir, porque si no, sería el caos absoluto. Si nos queremos proteger, por ejemplo, de quien comete un delito, tenemos que hacerle responsable de sus actos. Por otra parte, aunque en el fondo no seamos libres, no es lo mismo una decisión tomada conscientemente y de forma consistente con todos tus esquemas de valores morales que una decisión tomada por una persona enferma que no se da cuenta de lo que está haciendo. En la práctica, no podemos atribuirle el mismo grado de responsabilidad, pero eso no impide que, en un nivel muy profundo, carezcamos de control sobre lo que hacemos."
https://t.co/3O9QhJAFdW
So next time you pay gas, remember
you’re not just paying “fees.”
You’re paying for deterministic termination in a Turing-complete machine.
#Ethereum #EVM #TuringComplete #HaltingProblem #GasFees #Solidity #CryptoDev
How do you prove a program has no bugs? It’s mathematically impossible in many cases. The Halting Problem, proven by Alan Turing, shows you can't write a program that can tell if any other program will finish or run forever. #ComputerScience #HaltingProblem
Computing has limits. Suppose a magic H(P,x) decides if program P halts on input x. Build D(P): if H(P,P)=“halts” then loop; else halt. Now ask H about D(D). Boom—contradiction. Therefore H can’t exist. Some functions are uncomputable. #HaltingProblem
0' is strictly harder than 0 and represents the first level of uncomputability. #HaltingProblem
Turing proved a stunning conclusion: It is impossible to write a single, general-purpose program that can reliably determine whether any other program will halt for a given input. 🤯#HaltingProblem
@cstanley @elonmusk @AdrianDittmann @AnthropicAI @xai @beffjezos @bayeslord @zenarmor @StealthMedical1 @Beretta_1526 @ZEISSLenses ON THE DESTRUCTION OF TURING THEORY
PS. It is my view that a correctly applied partial ordering to the CNF operation in the CNF-BN transformation applied in the context of Logical Inference Using Bayesian Networks yields a normative, canonical and unique solution. #HaltingProblem

📌 In other words:
There’s no algorithm that can always decide if a program halts or runs forever.
That’s the halting problem:
A concrete example of an undecidable problem in computation.
���#HaltingProblem #undecidable
2/🧵
📌 In other words:
There’s no algorithm that can always decide if a program halts or runs forever.
That’s the halting problem:
A concrete example of an undecidable problem in computation.
#HaltingProblem #Undecidable
2/🧵
What if the biggest “impossible” problems in computer science… were never real to begin with?
You know how CS has these “proven impossibilities”? The Halting Problem, Rice’s Theorem, CAP Theorem, all mathematically “impossible” to solve?
Well, turns out they’re only impossible if you stay trapped in static mathematical thinking.
The Halting Problem says programs must either halt or not halt, and you can’t determine which. But watch our app: it runs forever, modifies itself, and doesn’t need to halt. Why would it? Your heart doesn’t halt as a feature, rivers don’t halt, the universe doesn’t halt. The universe doesn’t care about things stopping.
Rice’s Theorem says you can’t decide program properties. But properties aren’t static things to “decide”: they’re flowing, cascading, transforming. Watch them flow across the screen in real time.
CAP Theorem says pick 2 of 3: consistency, availability, partition tolerance. But that assumes binary choices. Watch C:0.73 A:0.51 P:0.82; all three flowing as a spectrum.
Church-Turing Thesis trapped computation in mechanical metaphors. But computation can be cascading, quantum, temporal, emergent, not just Turing machines.
Kolmogorov Complexity says description length is fixed. But watch how the app’s complexity cascades with context: 100 bits, then 127, then back down. Description length flows with the information, it doesn’t sit there static.
Communication Complexity assumes parties are separate, measuring how much they need to talk. But watch the entanglement percentage climb: 23.4% entangled and rising. When systems cascade together, separation becomes an illusion.
The app isn’t just performative computer art, it’s a functioning software (HTML!!). Its very existence shows how reality actually operates when you stop forcing it through mathematical lenses.
Every cascade particle is information flowing. Every pulse is truth cascading. Every transformation shows what happens when you let processes be processes instead of shattering them with equals signs.
The “impossibilities” dissolve when you realize they were only impossible inside an artificial mathematical cage. It appears the universe simply doesn’t care about those problems.
Now live, Marte AI's Computer Science impossibility dissolver. See it at:
https://t.co/2UBguLYpE4
We dared to reimagine Math and created PostMath. Release at midnight.
Stay on orbit.
And #Godel replies along with the #HaltingProblem well, you can get darn close depending on your accuracy in measurement of physical quantities, but a fully independent magic mirror like an oracle that only produces correct propositions that are all guaranteed correspondence
This is because such a program would need to be able to analyze its own behavior, leading to a paradox.
#HaltingProblem

IOW the #HaltingProblem - will the goal of science ever terminate & reach a final conclusion on the great problems of life, or just continue to display the progress bar of empiricism slowly approaching but never quite reaching perfect unity of identity?
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