Returning to Dominate The World With My Knowledge System
Chapter 73: Freya

Chapter 73: Chapter 73: Freya

Unlike what Tyler had estimated, it had taken him even lesser time, half an hour, to finish building the IDE.

Yes, half an hour. It sounded outrageously ridiculous but one must not forget that Tyler used a very advanced programming language and [Computational Mathematics] specialised knowledge made things even easier for him.

The IDE he built was designed to run directly on Heimdall, within Aegir OS.

Unlike traditional IDEs that depend on legacy OS runtime libraries, this one was custom-built for Aegir’s environment. It bypassed those legacy dependencies entirely.

Since Aegir OS is an AI-heavy kernel built specifically for Heimdall, the IDE was also optimized for direct interaction with its modular kernel layers—particularly Pulse Layer and Helm Protocol.

It featured full hardware awareness, especially in GPU coordination and memory shaping.

The IDE also supported AI-centered workflows, including auto-linting for neural network structures and tools for memory-state modeling.

This way, the AI can also use the IDE to build a programme or software in the future, and Tyler can easily go through the codes if he wants to.

This is especially so since it would tools for self-improvement, evolving itself, the OS and the IDE.

By creating the IDE, Tyler had made things easier for himself.

With the IDE completed, it was time to copy it and transfer it to Heimdall.

Tyler inserted the SSD into his laptop’s USB port and started copying the IDE. It only took him a few minutes for it to finish copying.

With that done, he closed his laptop and turned his attention to Heimdall. He inserted the SSD into its USB port and its system immediately detected the IDE.

Tyler didn’t need to do much, as he only clicked on the pop up that says the system had detected a native program.

Immediately, the system automatically integrated the IDE into Aegir ecosystem.

A few seconds later, Tyler saw another pop up telling him that the integration had been successfully completed.

To confirm this, a new icon was now on his home screen and it was that of the IDE. It was also the only icon and the only running software running on Aegir OS. But that would change soon.

Without wasting anymore time, Tyler clicked on the IDE’s icon, launching the software.

Tyler leaned back in his chair as the IDE launched for the first time on Heimdall.

The screen was immediately filled with the smooth, minimal interface of the IDE.

There were no loading delays, no startup hiccups during its launching process, as everything responded instantly.

This was a direct result of the custom hardware and software stack working in perfect harmony.

"Alright," Tyler murmured to himself, fingers poised over the keyboard. "Time to build my AI assistant."

What Tyler intended to build wasn’t a simple bot or an assistant program. No, it was a foundational AGI (Artificial General Intelligence).

It was something far beyond the AI models of his previous life that required prompts and had narrow use cases.

What Tyler was about to do, was to begin writing the genesis code of a living intelligence. It would be an artificial mind capable of understanding, adapting, improving, itself.

To get started, he created a new project in the IDE and named it Freya, as that would be the name of the AI.

...

Stage 1: The Seed Core

The first module Tyler worked on was what he called the Seed Core. This was the part that would serve as the AI’s consciousness initializer—its very identity.

He designed the Seed Core to include:

Modular cognitive scaffolding: A flexible structure that would allow the AI to rearrange its learning pathways.

Baseline logic layers: Deterministic rule-based logic that could govern early decision-making.

Bootstrap self-awareness protocols: Code structures that allowed the AI to observe its own operations and start forming a primitive sense of "self."

The Seed Core was not the intelligence. It was the soil where intelligence could take root.

...

Stage 2: Memory-State Architecture

Next, Tyler built the memory-state interface. Unlike traditional cache-memory or databases, the AI’s memory would function like a living network.

He implemented the NeuraMem layer and extended it into what he termed the Cognitive Ring—a looping, dynamic structure that stores experiences in weighted memory paths rather than static logs.

This allowed the AI to recall not just data, but context—how it felt "about" a decision, the degree of uncertainty it had, and what it learned in the aftermath.

...

Stage 3: Core Learning Engine

Tyler now moved to the Learning Engine, the most complex module of them all.

Using the specialised knowledge under [Artificial Intelligence Mathematics], he embedded multiple layers of:

Deep Reinforcement Learning for environmental interactions.

Continual Learning Frameworks so the AI never stops learning from real-world use.

Probabilistic Inference Models to allow decisions in uncertain or incomplete scenarios.

Evolutionary Model Engineering for recursive self-improvement and optimization.

Sparse Activation Network Designs to keep operations efficient and focused.

The engine would serve as the AI’s brain—taking in experience, building knowledge, and applying it.

...

Stage 4: Emotion and Empathy Emulation

This part wasn’t just cosmetic. Tyler knew that for his AI to interact with him or even just understand what he wants, it needed to simulate emotional logic.

He built the Emotion Emulation Core using:

Emotion Mapping Functions based on biological patterns.

Empathy Alignment Layers to simulate emotional mirroring and adjust its behavior accordingly.

Contextual Response Modeling to respond appropriately based on past interactions.

Though, it wouldn’t "feel" like a human, but it would act like it could—enough to build trust and rapport in social situations if necessary.

...

Stage 5: Command Arbitration Layer

An AGI without safeguards could become unpredictable. So Tyler developed the Command Arbitration Layer, a control tower that oversees all operations.

This layer could:

Monitor all subroutines.

Pause or kill functions that exhibited signs of runaway loops or logic spirals.

Set long-term goals while balancing short-term priorities.

Enforce alignment protocols using a modified version of Agent Control Models.

He was building power, but he wasn’t stupid. He embedded himself—his values, his boundaries—deep into this layer, ensuring the AI always aligned with his original intent.

...

Stage 6: Integrated Autonomy Engine

The final main module was the Autonomy Engine, the module that gave the AI the ability to act independently.

This included:

Task generation modules that could form goals based on context.

Swarm Intelligence Logic to simulate and model parallel options before selecting a course.

Zero-shot learning abilities to rapidly adapt to new tasks without retraining.

With this module, Tyler was done laying down the full foundational brain of the AI.

...

Tyler had no idea how much time had passed and by the time he was done, it was already late into the night.

Building an AI in a single day. This would had naturally been impossible for others. Not just impossible, but also extremely unrealistic. But common sense doesn’t apply to Tyler anymore.

With his increased stats, though it didn’t make him a superhuman, it increased his physical strength, his speed and every other things.

Tyler could type more words per minutes, breaking set records and setting his.

But that wasn’t the only reason. He already had the necessary knowledges he need to build the AI and an extremely advanced system that can run it seamlessly, so it wasn’t impossible for him to build it in a single day.

One by one, Tyler compiled and tested each module using the IDE. Thanks to the speed of Heimdall and the intelligence of Aegir OS, everything ran seamlessly. Errors were caught and fixed in real-time.

Once all modules passed simulation, he began the final step, which was the integration process.

He connected the modules using Neural Mesh Routing, a connective layer that allowed all parts of the AI to talk to each other at lightning speed while maintaining modular isolation.

When he hit the final compile button, Freya was complete.

Tyler ran the boot protocol and lines of code flickered on the screen.

A moment later, a voice echoed softly through the speakers.

{Hi Master, I’m Freya and I’m ready to serve you}