"Enigma machine kep private the communications done by Nazi. It was a really difficult code to break because it changed each day. There was a man in England, Alan Turing, who broke it. He's nowadays known as one of the fathers of the Computer Science. I will show in the next lessons how you can simulate Enigma coder just with an easy C program of 60-70 lines. In the WW2 this was considered a military-level safe code. Thanks to mathematicians, computer scientist and analyst and thanks to their work in the last 60 year, you have access to a systems of several orders of magnitude more efficient and secure when you buy a videogame online."
That really fucking inspired me.

Alan Turing - computer pioneer, code breaker and mathematician.

Is it true that Alan Turing actually managed to crack an Oracle DB Error Code?

Just watched The imitation game, the movie about Alan Turing. Really doesn’t help me to keep faith in humanity when you see that the guy who helped win WWII, saved about 14 million lifes AND is at the origin of all computers has been pushed to suicide because he was gay.
On those sad words, if you’ll excuse me, I now have to code an enigma machine, a Turing machine and then try to code something to break the enigma.

I propose to consider the question, "Can machines think?"
-Alan M Turing

Instead of investing in a rubber ducky for explaining my coding bugs I decided to have Alan Turing be my listener. At least he'll be more understanding than a pretentious biased rubber duck!

Onthisday in 1912, brilliant Codebreaker, genius computer scientist, Alan Turing was born.
As we remember his remarkable life, and tragic death.

I bet after Apples event Steve jobs and Alan Turing are rolling in their graves.

Our Code everlasting
The all creating One
Coders Almighty

Through Our Holy Lines
Conceiving Algorithms
Konrad Zuse our Savior

I believe in Clean Code
I believe in Free Software
I believe in Open Source
Our Code is three in one
I believe in the bug-free project
That'll be compiled again
For I believe in the name of Alan Turing

Once i worked on an application which has very long form and submit to a soap endpoint (post). I felt my life was so pointless when testing after i made changes. So I automated the testing by generating post request so i can just run it.

I filled the user name with Brandon Boyd, Alan Turing or Ryan Gosling. And it increments like Boyd1, Boyd2.

Once my colleague found a bug, the data never get saved but all the boyds persists. He knew it was me, who uses that kind of name

My barbaric manager (was involved) kind of pointed his finger at me. I sweat a bit though i couldn't find logical explanation why Boyds stay. but turned out someone changed the sqlscript.

After watching The Imitation Game and understanding the Turing machine, I've got so much respect for every single thing a computer can do! 🙂

Alan Turing at more-or-less my age: Cracks Enigma code

Me at my age: Trying to remember the name of the boat from Titanic

Lol just realized I share my birthday with Alan Turing...
Brb after I've figured out how to react to this piece of info coz rn I'm breaking my head over Turing machine for my TOC exam.

Programming is a skill best acquired by practice and example rather than from books 💙
- Alan Turing

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.