In the begining of time, when The Company was small and The Data could fit in some fucking excel sheets, Those Who Came Before implemented some java tool to issue invoices, notify customers and clear received payments.

Then came the Time Of The Great Expanse, when The Company grew to unthinkable levels. Headcount increased with each passing day, and The Data shows that everything was going great!

But when the future seemed bright, came The Stall-Out. The days when The Company could not expand as fast as it did before. And Those Who Came Before left, abandoning their Undocumented Java Tool to its own luck.

Those who came after knew nothing of the inner workings of the Undocumented Java Tool. They knew only that the magical Jar would take a couple fucking excel spreadsheets and spit out reports and send emails like magic.
And those were The Dark Days.

In the darkness, The Data grew to be a monster. Soon a fucking excel spreadsheet could not hold The Data contained any longer. Those Who Came After, fearing the wrath of The Undocumented Java Tool, dared not mess with its code. Instead, they fucking cut away the lowest volume transactions from the fucking input spreadsheet, and left the company to report the unbilled invoices as "surprise losses". Fucking script kiddies, were Those Who Came After.

Then, at The Darkest of Days (literally, Dec 21st), marched into the project The Six Witchers, who fear not the Demon of Refactoring.

This story is still unfolding. Will The Six Witchers manage to unravel the mysteries of The Undocumented Java Tool? Will they be able to reverse engineer the fucking black box, and scale it's magic into a modern application?
Will they decrease revenue forecasting error by at least 2% in a single strike?

Only the future will tell.

The cancellation of The Expanse just feels like the ultimate confirmation that Earthers are the worst. The Belters would never have let that show go.

I feel like I had been living under the rock. Just discovered Software Engineering Daily on Podcast Addict 😍 Can't be stoked enough to learn about vast expanse of knowledge and incredible experiences laid out there! What are some of your favorite podcasts?!

Experience with Plasma Mobile:

After an hour of confusion and bash file trolling (as in scrolling through a bash file, not trolling someone with a script), I ended up needing to reinstall Lineage OS on my phone.

While it's a new and seemingly exciting expanse for modern Linux and Android phones, it's very obviously not ready yet.

Even after fixing some bugs within the bash file, my phone seemed to have a mind of its own; prematurely attempting to boot into the OS during a critical part of the setup. Even after finishing the setup correctly, my phone never actually boots into the system.

While I like the concept behind Plasma Mobile, it does still have a ways to go. But I have some hopes that the project will start getting bigger and better as the time goes on.

The Turing Test, a concept introduced by Alan Turing in 1950, has been a foundation concept for evaluating a machine's ability to exhibit human-like intelligence. But as we edge closer to the singularity—the point where artificial intelligence surpasses human intelligence—a new, perhaps unsettling question comes to the fore: Are we humans ready for the Turing Test's inverse? Unlike Turing's original proposition where machines strive to become indistinguishable from humans, the Inverse Turing Test ponders whether the complex, multi-dimensional realities generated by AI can be rendered palatable or even comprehensible to human cognition. This discourse goes beyond mere philosophical debate; it directly impacts the future trajectory of human-machine symbiosis.

Artificial intelligence has been advancing at an exponential pace, far outstripping Moore's Law. From Generative Adversarial Networks (GANs) that create life-like images to quantum computing that solve problems unfathomable to classical computers, the AI universe is a sprawling expanse of complexity. What's more compelling is that these machine-constructed worlds aren't confined to academic circles. They permeate every facet of our lives—be it medicine, finance, or even social dynamics. And so, an existential conundrum arises: Will there come a point where these AI-created outputs become so labyrinthine that they are beyond the cognitive reach of the average human?

The Human-AI Cognitive Disconnection

As we look closer into the interplay between humans and AI-created realities, the phenomenon of cognitive disconnection becomes increasingly salient, perhaps even a bit uncomfortable. This disconnection is not confined to esoteric, high-level computational processes; it's pervasive in our everyday life. Take, for instance, the experience of driving a car. Most people can operate a vehicle without understanding the intricacies of its internal combustion engine, transmission mechanics, or even its embedded software. Similarly, when boarding an airplane, passengers trust that they'll arrive at their destination safely, yet most have little to no understanding of aerodynamics, jet propulsion, or air traffic control systems. In both scenarios, individuals navigate a reality facilitated by complex systems they don't fully understand. Simply put, we just enjoy the ride.

However, this is emblematic of a larger issue—the uncritical trust we place in machines and algorithms, often without understanding the implications or mechanics. Imagine if, in the future, these systems become exponentially more complex, driven by AI algorithms that even experts struggle to comprehend. Where does that leave the average individual? In such a future, not only are we passengers in cars or planes, but we also become passengers in a reality steered by artificial intelligence—a reality we may neither fully grasp nor control. This raises serious questions about agency, autonomy, and oversight, especially as AI technologies continue to weave themselves into the fabric of our existence.

The Illusion of Reality

To adequately explore the intricate issue of human-AI cognitive disconnection, let's journey through the corridors of metaphysics and epistemology, where the concept of reality itself is under scrutiny. Humans have always been limited by their biological faculties—our senses can only perceive a sliver of the electromagnetic spectrum, our ears can hear only a fraction of the vibrations in the air, and our cognitive powers are constrained by the limitations of our neural architecture. In this context, what we term "reality" is in essence a constructed narrative, meticulously assembled by our senses and brain as a way to make sense of the world around us. Philosophers have argued that our perception of reality is akin to a "user interface," evolved to guide us through the complexities of the world, rather than to reveal its ultimate nature. But now, we find ourselves in a new (contrived) techno-reality.

Artificial intelligence brings forth the potential for a new layer of reality, one that is stitched together not by biological neurons but by algorithms and silicon chips. As AI starts to create complex simulations, predictive models, or even whole virtual worlds, one has to ask: Are these AI-constructed realities an extension of the "grand illusion" that we're already living in? Or do they represent a departure, an entirely new plane of existence that demands its own set of sensory and cognitive tools for comprehension? The metaphorical veil between humans and the universe has historically been made of biological fabric, so to speak.