If you need a good laugh to get you through the week, I highly recommend checking out the latest hysteria bubbling up from Silicon Valley.

If found this german gem:

• golem.de (german)

This is pointing to:

• https://ai-2027.com/
• spiegel.de (german / paywall)

Right now, the tech media is absolutely buzzing about a new manifesto over at ai-2027.com and heavily featured in the German press like Golem.de. A prominent AI researcher is predicting that true Artificial Superintelligence (ASI) will arrive by the year 2027. We are talking about a machine intelligence that vastly exceeds human cognitive capabilities across every conceivable domain.

But there is a hilarious, glaring catch buried in all this grand pontification. In the exact same breath that they warn us about this impending omnipotent god-machine, they also frantically warn us about its reliability.

JA WAS DENN JETZT?! (What is it now?!)

The "Unreliable Omniscience" Tralala

You cannot have it both ways. You cannot claim you have built a "Superintelligence" and simultaneously admit that you can't really trust it to give you factual, reliable outputs.

If an entity is vastly smarter than every human on Earth, it doesn't confidently hallucinate a nonexistent Python library when you ask it to parse a CSV file. It doesn't confidently make up legal precedents.

What the tech industry is calling "Superintelligence" is just another dumb, oversized pile of Large Language Models (LLMs) stacked on top of each other in a multi-billion-dollar data center. It is not thinking. It is not reasoning. It is just a highly subsidized statistical parrot guessing the next token in a sequence.

Warning us about the "unreliability of Superintelligence" is like a car salesman warning you that the brand-new Ferrari he is selling you might occasionally decide to drive into a lake because it gets confused by the concept of water. That is not a Ferrari. That is a broken golf cart.

The Real Phenomenon: The Human IQ Freefall

So, why does this glorified autocomplete suddenly look like a "Superbrain" to so many tech CEOs and venture capitalists?

I have a very simple, highly measurable theory: Since the release of the first mainstream LLMs, human intelligence has been going straight down the drain.

The AI isn't ascending to our level; we are rapidly descending to its level.

Think about it. In the last few years, we have conditioned an entire generation of developers, managers, and writers to stop thinking. They let chatbots write their emails. They let chatbots summarize their meetings. They blindly copy-paste unvetted, bloated AI-generated code straight into production environments without understanding a single line of the underlying architecture.

When you completely outsource your critical thinking to a machine, your own cognitive muscles atrophy. If you surround yourself with people who can no longer write a coherent paragraph or debug a simple database query without asking a prompt window, then yes - a chatbot that can instantly generate 500 words of mediocre boilerplate text is going to look like absolute sorcery.

In a room full of people who have forgotten how to think, the statistical word-guesser becomes the king.

The Blind Trust Epidemic

This is the real danger of 2027. Not that Skynet is going to wake up and launch the nukes, but that human beings will blindly hand over the keys of our critical infrastructure to a hallucinating text-generator just because it sounds confident.

We don't have a Superintelligence problem. We have a laziness problem.

Until an AI can write a zero-bloat C++ terminal emulator that runs on a floppy disk without inventing three new JavaScript frameworks in the process, I am not worried about the machine. I am just worried about the humans who are foolish enough to trust it.