Returning to Dominate The World With My Knowledge System
Chapter 68: Aegir

Chapter 68: Chapter 68: Aegir

A clacking sound filled the room as Tyler’s fingers moved across the keyboard. He had typed the first line of Aegir codes.

// Aegir - Initialization Sequence

Yes, it didn’t sound elegant or fancy as one would had expected. Neither did it sound like groundbreaking but that can be very deceiving.

Tyler got started and his main focus was on where every operating system must begin: the bootloader.

Heimdall doesn’t use legacy BIOS or UEFI. Instead it uses Heimdall Core, a supervisory firmware system to replace BIOS entirely.

Heimdall’s core during Heimdall’s boot process had to initialize ten Valkyrie-X GPUs, route power through localized graphene rails, wake multiple RISC controller clusters, and verify that 256 terabytes of memory were online. And all before the system ever saw a UI.

There was no template for that, which mean Tyler had to built a custom bootloader from scratch.

Line by line, using the programming language that came with the system, he created a micro-executable.

It ran in protected mode, initializing physical addresses, verifying that each embedded controller pinged back a clean signal.

He also wrote condition checks for everything: voltage range, heat signatures, memory response latency, logic cluster alignment.

Every piece of hardware had to return an "OK" before the boot process could continue.

If even one segment failed, Heimdall would abort startup and enter diagnostic lockdown.

Two hours in, the bootloader was complete.

He compiled it, then simulated it in a controlled test environment.

It ran clean, with a cold boot sequence, resulting in Zero errors. And it took five seconds from dormant board to system-level access control.

With that, step one was completed.

Next came the kernel.

Aegir wouldn’t rely on monolithic or microkernel architecture. Instead, Tyler went with a modular layered core, where each layer had strict boundaries and its own optimization handler.

At the center was the Pulse Layer. This was responsible for real-time hardware communication.

He wrote custom drivers to interface with the GPIC lanes. These weren’t PCIe buses and they didn’t work with off-the-shelf code.

Each Valkyrie-X had to be read as its own compute cluster, and each DRAM tower as a live neural memory node.

To do that, he created an internal protocol he named PulseSync, which synchronized bandwidth allocation, throttling, and compute scheduling across the GPU clusters.

Once that was stable, he moved to memory.

Traditional memory management was useless here. With that much space, even high-end Linux distributions didn’t know what to do with 64TB of volatile RAM.

So Tyler wrote a segment-aware memory model, where each 4TB DRAM unit acted like a living storage organ. Data wasn’t just stored and retrieved. It was pre-positioned based on predicted access patterns.

He called the module NeuraMem.

It allowed dynamic memory shaping: adjusting cache layers, duplicating critical data across modules, and anticipating AI model requests before they occurred.

Next came storage mapping.

The 192TB of non-volatile DRAM-based NVMe modules needed a custom file system.

He can’t use FAT, NTFS, ext4, or BTRFS as they are all useless.

Left with no other choice, Tyler decided to design a graph-based system from the ground up.

He named it ChronoFS.

Unlike traditional file systems that worked on hierarchical paths, ChronoFS used temporal tagging and vector mapping.

Every file, model, dataset, and instruction set was stored with time-indexed metadata, relationship graphs, and access weight scoring.

ChronoFS allowed the AI to find not just what it needed but also why it needed it. This easy, relevance-based recall replaced traditional search queries.

By the end of the first day, Tyler had written over 4,000 lines of code.

And that was just the kernel base.

He saved his work, shut the laptop, and called for room service. He hadn’t had anything else to eat beside the brunch he had. And now, he was feeling very hungry.

While he waited, he decided to clean up.

...

Day two of building the operating system was about system behavior.

Now that the kernel layers were live, he needed to give Aegir a brain.

This brain was about internal system governance. It was like a decision layer between hardware and instruction.

He created the Helm Protocol. It would act as an arbitration system that decides what got power, what got memory, and what got priority.

Helm Protocol monitored all signals from Heimdall’s embedded controllers. Every heat rise, voltage drift, AI model request, or load spike was reported through Helm.

Then Helm chose the optimal response.

Whether it was cooling reallocation, memory reshaping, process pausing, or instruction rerouting, Helm would make the call.

To build Helm, Tyler wrote over a dozen small logic bots using [Computational Mathematics].

These weren’t conscious and they didn’t have the ability to learn, but they could simulate thousands of possibilities per second and choose the path with the highest systemic harmony.

After he was done, he watched Helm in action using a simulation tool as he simulated a GPU overheating due to spike load.

Helm rerouted voltage away from the chip, activated cooling pumps, loaded a duplicate process into a different cluster, and prepped a memory flush. And all that was done within 300 milliseconds.

"Perfect," Tyler smiled to himself.

...

On day three, he began work on the user-space services.

It was going to be simple as he didn’t need graphical interfacesz login windows, taskbars or wallpapers.

For that, he built ConsoleNode. This would be the terminal interface that would give him full command over the OS.

Through ConsoleNode, he could write, test, observe, and modify processes in real time.

He could query DRAM pathways, inspect voltage curves, run heat simulations and adjust AI cluster boundaries.

Every command had full access, with no sandboxing or safety net.

ConsoleNode was like a heart of a patient in a surgeon’s table.

The patient trusted the operator completely.

With that done, then came security.

Tyler didn’t trust firewalls and he didn’t trust passwords, encryption, or identity tokens.

So he wrote ThreadGuardz which is an internal sentinel system embedded into the kernel.

ThreadGuard didn’t monitor users. Rather, it monitored instructions.

Every thread that ran on Heimdall was fingerprinted. From its logic tree, to its memory pull, its data vector, and its power demand, ThreadGuard watched them all.

If any thread deviated from its expected signature even by a small margin, it was halted, isolated, and logged.

...

By the end of day four, Tyler had done it. He had successfully built a stable, minimal build of his OS, Aegir.

And now, it was time to run it on Heimdall.