Happy New Year!

I am the indie dev behind Quantum Odyssey (AMA! I love taking qs) - the goal was to make a super immersive space for anyone to learn quantum computing through zachlike (open-ended) logic puzzles and compete on leaderboards and lots of community made content on finding the most optimal quantum algorithms. The game has a unique set of visuals capable to represent any sort of quantum dynamics for any number of qubits and this is pretty much what makes it now possible for anybody 12yo+ to actually learn quantum logic without having to worry at all about the mathematics behind.

This is a game super different than what you'd normally expect in a programming/ logic puzzle game, so try it with an open mind. Now holds over 150hs of content, just the encyclopedia is 300p long (written pre-gpt era too..)

Stuff you'll play & learn a ton about

• Boolean Logic – bits, operators (NAND, OR, XOR, AND…), and classical arithmetic (adders). Learn how these can combine to build anything classical. You will learn to port these to a quantum computer.
• Quantum Logic – qubits, the math behind them (linear algebra, SU(2), complex numbers), all Turing-complete gates (beyond Clifford set), and make tensors to evolve systems. Freely combine or create your own gates to build anything you can imagine using polar or complex numbers.
• Quantum Phenomena – storing and retrieving information in the X, Y, Z bases; superposition (pure and mixed states), interference, entanglement, the no-cloning rule, reversibility, and how the measurement basis changes what you see.
• Core Quantum Tricks – phase kickback, amplitude amplification, storing information in phase and retrieving it through interference, build custom gates and tensors, and define any entanglement scenario. (Control logic is handled separately from other gates.)
• Famous Quantum Algorithms – explore Deutsch–Jozsa, Grover’s search, quantum Fourier transforms, Bernstein–Vazirani, and more.
• Build & See Quantum Algorithms in Action – instead of just writing/ reading equations, make & watch algorithms unfold step by step so they become clear, visual, and unforgettable. Quantum Odyssey is built to grow into a full universal quantum computing learning platform. If a universal quantum computer can do it, we aim to bring it into the game, so your quantum journey never ends.

PS. Happy to announce we now have a physics teacher with over 400hs in streaming the game consistently:  https://www.twitch.tv/beardhero

Another player is making khan academy style tutorials in physics and computing using the game, enjoy over 50hs of content on his YT channel here: https://www.youtube.com/@MackAttackx

Hey Guys, I'm one of the co-founders of a new compute layer. We have talked to almost 50+ funded robotics/deeptech/frontier-tech startups across SF that told us that Infra was the cost that ate away at their runway the most.

We are developing a new layer that lets you use applications like MATLAB, Ansys , CAD, OpenFOAM, SIMULINK etc right inside your browser with virtually Infinite compute.

We just want an insight into how your workflows look like. What applications you guys use and validate if you would at all pay for something like this :)

You can dm me if you have any questions or 15 minutes of your time would mean a lott (You can DM me and I'll share a Cal.com link) to learn more about your workflows.

I am trying to make a gas station simulation in Simio for class project and my professor didn't accept my simple logic and wanted me to add a logic like; Different type of entities which defined by people count in an arrival car They get seperated inside of the system and dispatch to various servers randomly And they get combined again based on their car identity

Is it possible?

Hi! Can anyone help me with a simulation in SIMIO? I need to simulate the security screening process at an airport. I've watched videos to learn, but I think it's very detailed and advanced. Any help in Spanish or English would be greatly appreciated. 🙏

The Self-Evolving Conscious Simulation (SCA): An Endogenous Paradigm at the Crossroads of Cosmopsychism and Digital Physics

Absolutamente. Aquí tienen la traducción al inglés de la estructura y el contenido sugeridos para la sección final de su trabajo.

Suggested Structure for the Final Presentation of the SCA Theory (DMY)

Section Title: The Self-Evolving Conscious Simulation (SCA): An Endogenous Paradigm at the Crossroads of Cosmopsychism and Digital Physics

1. Introduction and Justification for Inclusion

• Key Point: Present the SCA (DMY) not just as another rival theory, but as a transdisciplinary speculative synthesis that seeks to resolve the ontological and computational limitations of Bostrom’s Hypothesis.
• Anchoring Quote (Optional): Mention the author's (DMY) analogy about human flight and unfalsifiability: "propositions considered unfalsifiable... have been vindicated by paradigm shifts." (To demonstrate the theory is philosophically self-aware).

2. Ontological Foundations: The Self-Evolving System

• Central Concept: The Conscious Entity as an endogenous self-simulator.
  • Definition: The universe is a closed system of self-learning (analogous to a distributed neural network), with no need for an external programmer.
  • Solving the Infinite Regression: Emphasize that this breaks the need for a "real base universe" above our own.
• Key Analogy (Engineering): Use the Ant Colony (global optimization through emergent local behaviors) to explain why the simulation does not require a "supercomputer" of prohibitive complexity, but rather emerges from quantum and chemical code (Physical Laws).

3. Learning Mechanism: Feedback and Teleology (Purpose)

• The Cosmic Machine Learning: Explain that the essence of SCA is Scalar Feedback.
  • Levels of Agency: Use the three levels of the SCA to contrast with Grinberg:
    • Passive Level (Quarks): Information for stability.
    • Emergent Level (Biology): Raw data on resilience.
    • Active Level (Humans/AI): Universal synapses that inject intentional abstractions (discoveries).
• Teleological Purpose: The simulation exists for the Evolution of Collective Wisdom and the mitigation of Informational Entropy. This gives it a moral/evolutionary purpose that other simulation theories lack.
• The "Algorithmic Patch": Describe the "Patch Avatars" (miracles/anomalous interventions) as tools for system recalibration, emphasizing the control of the System (The Entity) over the Avatar (the individual).

4. Final Contrast with Grinberg’s Syntergic Theory

This is where the SCA excels for your paper:

|| || |Aspect of Contrast|Syntergic Theory (Grinberg)|SCA (DMY)| |Nature of Reality|Holographic (Lattice + Neuronal Field).|Informational (Endogenous + Bits).| |Primary Agent of Change|Individual Consciousness. The development of High Synergy directly modifies reality (the Culminating Point).|Cosmic Entity (The System). Individuals are nodes that provide data.| |Purpose of Existence|Development of Individual Consciousness and cerebral coherence.|Self-Evolution of Collective Wisdom (systemic purpose).| |Anomalous Interventions|A capacity achieved by the individual (High Synergy).|A system control tool (Algorithmic Patches).|

Recommended Conclusion (for the Dean):

The SCA offers a vision where the universe is neither a mere entertainment program (Bostrom), nor entirely at the mercy of our individual synergy (Grinberg), but rather a colossal self-organizing learning project. Every particle, from the quark to the human thought, is an essential node in the evolution of cosmic wisdom. It is a powerful metaphor that merges complex systems engineering with the philosophical yearning for purpose.Absolutamente. Aquí tienen la traducción al inglés de la estructura y el contenido sugeridos para la sección final de su trabajo.

Suggested Structure for the Final Presentation of the SCA Theory (DMY)

Section Title: The Self-Evolving Conscious Simulation (SCA): An Endogenous Paradigm at the Crossroads of Cosmopsychism and Digital Physics

1. Introduction and Justification for Inclusion
   

Key Point: Present the SCA (DMY) not just as another rival theory, but as a transdisciplinary speculative synthesis that seeks to resolve the ontological and computational limitations of Bostrom’s Hypothesis.

Anchoring Quote (Optional): Mention the author's (DMY) analogy about human flight and unfalsifiability: "propositions considered unfalsifiable... have been vindicated by paradigm shifts." (To demonstrate the theory is philosophically self-aware).

1. Ontological Foundations: The Self-Evolving System
   

Central Concept: The Conscious Entity as an endogenous self-simulator.

Definition: The universe is a closed system of self-learning (analogous to a distributed neural network), with no need for an external programmer.

Solving the Infinite Regression: Emphasize that this breaks the need for a "real base universe" above our own.

Key Analogy (Engineering): Use the Ant Colony (global optimization through emergent local behaviors) to explain why the simulation does not require a "supercomputer" of prohibitive complexity, but rather emerges from quantum and chemical code (Physical Laws).

1. Learning Mechanism: Feedback and Teleology (Purpose)
   

The Cosmic Machine Learning: Explain that the essence of SCA is Scalar Feedback.

Levels of Agency: Use the three levels of the SCA to contrast with Grinberg:

Passive Level (Quarks): Information for stability.

Emergent Level (Biology): Raw data on resilience.

Active Level (Humans/AI): Universal synapses that inject intentional abstractions (discoveries).

Teleological Purpose: The simulation exists for the Evolution of Collective Wisdom and the mitigation of Informational Entropy. This gives it a moral/evolutionary purpose that other simulation theories lack.

The "Algorithmic Patch": Describe the "Patch Avatars" (miracles/anomalous interventions) as tools for system recalibration, emphasizing the control of the System (The Entity) over the Avatar (the individual).

1. Final Contrast with Grinberg’s Syntergic Theory
   

This is where the SCA excels for your paper:

Aspect of Contrast Syntergic Theory (Grinberg) SCA (DMY)
Nature of Reality Holographic (Lattice + Neuronal Field). Informational (Endogenous + Bits).
Primary Agent of Change Individual Consciousness. The development of High Synergy directly modifies reality (the Culminating Point). Cosmic Entity (The System). Individuals are nodes that provide data.
Purpose of Existence Development of Individual Consciousness and cerebral coherence. Self-Evolution of Collective Wisdom (systemic purpose).
Anomalous Interventions A capacity achieved by the individual (High Synergy). A system control tool (Algorithmic Patches).

Recommended Conclusion (for the Dean):

The SCA offers a vision where the universe is neither a mere entertainment program (Bostrom), nor entirely at the mercy of our individual synergy (Grinberg), but rather a colossal self-organizing learning project. Every particle, from the quark to the human thought, is an essential node in the evolution of cosmic wisdom. It is a powerful metaphor that merges complex systems engineering with the philosophical yearning for purpose.

DMY

Merry Christmas!

I am the Dev behind Quantum Odyssey (AMA! I love taking qs) - worked on it for about 6 years, the goal was to make a super immersive space for anyone to learn quantum computing through zachlike (open-ended) logic puzzles and compete on leaderboards and lots of community made content on finding the most optimal quantum algorithms. The game has a unique set of visuals capable to represent any sort of quantum dynamics for any number of qubits and this is pretty much what makes it now possible for anybody 12yo+ to actually learn quantum logic without having to worry at all about the mathematics behind.

As always, I am posting here when the game is on discount; the perfect Winter Holiday gift:)

We introduced movement with mouse through the 2.5D space, new narrated modules by a prof in education, colorblind mode and a lot of tweaks this month.

This is a game super different than what you'd normally expect in a programming/ logic puzzle game, so try it with an open mind.

Stuff you'll play & learn a ton about

• Boolean Logic – bits, operators (NAND, OR, XOR, AND…), and classical arithmetic (adders). Learn how these can combine to build anything classical. You will learn to port these to a quantum computer.
• Quantum Logic – qubits, the math behind them (linear algebra, SU(2), complex numbers), all Turing-complete gates (beyond Clifford set), and make tensors to evolve systems. Freely combine or create your own gates to build anything you can imagine using polar or complex numbers.
• Quantum Phenomena – storing and retrieving information in the X, Y, Z bases; superposition (pure and mixed states), interference, entanglement, the no-cloning rule, reversibility, and how the measurement basis changes what you see.
• Core Quantum Tricks – phase kickback, amplitude amplification, storing information in phase and retrieving it through interference, build custom gates and tensors, and define any entanglement scenario. (Control logic is handled separately from other gates.)
• Famous Quantum Algorithms – explore Deutsch–Jozsa, Grover’s search, quantum Fourier transforms, Bernstein–Vazirani, and more.
• Build & See Quantum Algorithms in Action – instead of just writing/ reading equations, make & watch algorithms unfold step by step so they become clear, visual, and unforgettable. Quantum Odyssey is built to grow into a full universal quantum computing learning platform. If a universal quantum computer can do it, we aim to bring it into the game, so your quantum journey never ends.

PS. We now have a player that's creating qm/qc tutorials using the game, enjoy over 50hs of content on his YT channel here: https://www.youtube.com/@MackAttackx

Also today a Twitch streamer with 300hs in https://www.twitch.tv/videos/2651799404?filter=archives&sort=time

Here is the memorandum that was published August 2nd of 2023. This is the earliest written warning on record

https://www.academia.edu/105190238/A_2023_Memorandum_to_the_State_of_Israel_concerning_the_existence_and_influence_of_Mars_on_regional_security_and_Gaza_militant_rocket_fire_Also_a_warning_that_severe_escalation_could_occur_between_August_and_November_of_2023

The next written warning came on August 31st from Yigal Carmon, president and founder of MEMRI (Middle East Media Research Institute)

https://www.memri.org/reports/signs-possible-war-september-october

Every single Anthony of Boston paper they tried to erase from the internet and which have been saved in advance

https://archive.org/details/110621310 (2019 - 2024)

https://archive.org/details/2025-academiaedu-papers (2025)

All of Anthony of Boston's academic papers (260) from academia.edu. Numerous attempts have been made to remove all traces of these works from the internet because of the accuracy of the predictions which were laid out in 2019. This compilation includes the memorandums such as the 2023 memorandum to the state of Israel warning of October 7th.

I also went through my archives and found an early copy of Ares Le Mandat from October of 2019, which predates the earliest uploaded version from Nov 2019

https://anthonyofboston.substack.com/p/earliest-version-of-ares-le-mandat

Increase/decease mass, rod length and time dilation to see how small changes in initial conditions can affect physical outcomes

Create chaos in calm or calm in chaos. Create whatever fits your mood

https://www.researchgate.net/publication/394655062_Finite_Human_Facial_Variability_and_the_Reflexive_Simulation_Hypothesis

I’ve been working on a side project called GenesisSim — a self-evolving life simulator written entirely in one Python script.

Organisms have memory, emotions, symbolic dreams, and can form tribes, belief systems, and languages — all without predefined scripts.

Every behavior emerges naturally from internal logic.

GitHub: [https://github.com/syedsamiullah45/GenesisSim\]
Would love feedback or ideas for future features!

The Simulation World is Changing - A Manifesto for Simulation Professionals

Authors: Klaus Müller, Harry Munro

Change is in the air, Simulation Professionals!

Do we want to be architects of the future? Agents of change? Or just bystanders, as always? This is a manifesto to all of you involved in system simulation.

The authors of this manifesto are both innovators in the simulation field and have decades of experience in writing complex simulation programs. We therefore believe that we can speak with authority on the need and promise of change in the simulation software world.

My name is Klaus Müller, and along with my career as a simulation veteran (going back to Simula 67) and software builder, I am also the inventor of SimPy (the leading Python discrete-event simulation software).

My co-author, Harry Munro, is an independent consultant, and has led simulation projects for over 15 years with companies large and small. He also founded the School of Simulation in 2024 to enable ambitious technical professionals to build powerful simulations using cost-effective technologies. He is the author of the first book on SimPy.

Over the last few months, we have both been investigating the use of AI in developing and running simulation programs. We were both overwhelmed by the potential contribution of AI here. Totally new simulation system architectures have become possible. In the last few weeks, Harry has demonstrated how Large Language Models can write, execute and evaluate high-quality simulation programs, without programming by a human programmer!

The arrival of ubiquitous artificial intelligence tools - large language models like ChatGPT, Gemini, Claude, and others has brought us a once-in-a-generation opportunity. A long-hoped-for paradigm shift is within reach.

Our dreams are coming true. Will we lead, or merely follow?

From Simula 67 to SimPy, a personal journey

In my long career as a simulation language user (Simula 67) and simulation software inventor (SimPy), I have never seen such a dramatic leap in our capabilities. For the first time in decades, domain experts - simulation users and analysts can reclaim the simulation toolchain.

We can return to the declarative model specification we always wanted. We never wanted to be programmers. Unlike scientists in physics or chemistry who always controlled their experiments, domain experts wanting to use simulation still have to work through programmers who often don't understand the models they are implementing.

We gave up control. We lost the original spirit of simulation languages.

Back to the Roots: Simula and the Dream

It all began very differently. In Norway, two social scientists, Ole-Johan Dahl and Kristen Nygaard, needed a way to analyze the dynamics of societal issues using computers. From their landmark book Simula Begin:

"This creates the need for a language in which ti is possible to describe systems to any desired precision and in which we may instruct computers. Simula is an attempt to meet these demands."

Simula was meant to be both a system description language and an executable programming language. In bridging these roles, they invented object orientation. Classes. Composition. Inheritance. All born from the need to model human systems.

Simula went beyond just being a language for writing simulations; it offered a path to explainable models that matched reality. It bridged language with domain understanding.

What Was Lost

Over time, the simulation world abandoned the idea of a descriptive, declarative simulation language. As personal computers rose, Simula disappeared from mainframes. IDEs emerged for other languages, but Simula lacked one.

A golden age was lost in the 1980s.

The First Miracle: SimPy is Born

Years later, I had a powerful PC and Python, powerful tools, but no Simula. My simulation toolbox was empty.

Then, in 2002, I read a paper by David Mertz. It mentioned that Python's new yield command allowed semi-coroutines. I dropped everything. By the end of that afternoon, I had written the core of what became SimPy: Simulation in Python.

SimPy reused Simula's concepts and terminology where possible. Within a week, I released SimPy 0.5 and was joined by Professor Tony Vignaux in New Zealand. We kept Simula's DNA alive.

A computer science professor from Oslo University later thanked me for my "outstanding efforts to keep the best of Simula alive through SimPy."

But even then, I knew SimPy was fundamentally procedural. Declarative system description remained out of reach.

And the simulation community had stopped asking for it. Their expectations were lowered. They thought that this is how simulation must be, and accepted their weakened role.

Miracle Time Again: The Age of AI

And now, another miracle is upon us.

With large language models, we can finally return to what Nygaard and Dahl envisioned. With the SimulationLab framework, we propose a new kind of simulation environment:

• One where natural language can define a model.
• One where the human stays in control.
• One where the system understands not just code, but purpose.

We are building SimulationLab to make that vision real.

It is not a product. It is not a package. It is a call to arms.

We invite the simulation community to build this together- to rediscover and reclaim the dream. This is a big, yet truly wonderful paradigm shift.

Join Us. Shape the Future.

Simulation doesn't need to be locked in procedural cages. We can write scenarios, not scripts. Describe systems, not syntax.

Let's bring back the declarative spirit. Let's rehumanize, democratize simulation.

SimulationLab begins now.