AI – The Buzzword!
Image credit: Panoramio / Wikimedia Commons
Oh, Not Again!
Every few years, a word escapes the labs and gets dragged through marketing departments worldwide. “Cloud.” “Blockchain.” “Metaverse.” Each promises to change everything. Each delivers a fraction. Each fades.
Now it’s “AI.”
This one bothers anyone who actually cares about definitions.
Artificial Intelligence. Two simple words. Neither means what people think anymore.
A Small Rant
Everyone is running. Companies are racing. Billions are moving. A mediocre feature with a lookup table becomes “AI-powered.” A regression model from 1995 becomes “machine learning intelligence.”
Where is everyone running? No one knows.
What is the finish line called?
AGI.
Artificial General Intelligence. A term so vague that almost no two people mean the same thing when they say it.
What Is AI, Actually?
Stepping back. Looking at the definition.
AI is the study of making machines do things that would require intelligence if a human did them. Playing chess. Recognizing faces. Translating languages. Driving a car.
Image credit: Wikimedia Commons
Notice what is missing from that definition. Consciousness. Self-awareness. Understanding. Feeling. Desire.
A chess program does not know it is playing chess. It does not care if it wins. It just runs an algorithm. Nothing more.
That is the gap nobody wants to talk about.
A system can behave intelligently without being intelligent. A system can pass the Turing test without having a single thought.
Calling it “intelligence” feels like calling a wind-up toy “alive.”
The AGI Fantasy
AGI is a moving target.
Some define AGI as a system that can perform any intellectual task a human can. Others define it as a system with consciousness. Others define it as a system that surpasses all human intelligence through recursive improvement.
Three different definitions. Same acronym. Same confusion.
The first definition is probably achievable. An engineering problem. A hard one. But still engineering.
The second definition is philosophy. Consciousness is not understood. Not in humans. Not in machines. The honest answer is “nobody knows.”
The third definition is science fiction. Every real system hits diminishing returns. Every real system hits physical limits.
Yet the race continues. Companies announce AGI breakthroughs that are just better chatbots.
Oh, not again.
The Disappointment No One Admits
Modern AI is not intelligent. It is statistical pattern matching on a massive scale.
A Large Language Model does not think. It does not reason. It does not believe. It just computes the most probable next token given previous tokens.
Image credit: Wikimedia Commons
That is it. That is the engine behind every headline.
The technology is genuinely impressive. The engineering is remarkable. But calling it intelligence dilutes the word until it means nothing.
A Philosophical Detour
What even is intelligence ?
If a thermostat turns on the heater when the room gets cold, is that intelligent? No. It is a simple feedback loop.
If a chess program beats the world champion, is that intelligent? Maybe. But the program cannot tie its shoes or recognize a cat in a photo.
Intelligence is not one thing. It is a collection of capabilities. Modern AI excels at pattern recognition. It is terrible at causal reasoning.
That gap matters. That gap is the difference between a useful tool and actual intelligence.
The Race Without a Finish Line
Watching the current frenzy is equal parts fascinating and exhausting.
Every week brings a new model. New claims. New hype.
AGI is coming. AGI is already here. AGI will change everything. AGI will destroy everything.
Pick a headline. Any headline. It probably contradicts another headline from last week.
Nobody is asking the hard questions. What does success look like? How will anyone know when AGI actually arrives?
The emperor has no clothes. But the crowd is cheering anyway.
Where That Leaves a Mechanic
Coming from a world of differential equations and boundary conditions, this feels surreal.
In mechanics, a model has clear assumptions. Clear limitations. Clear failure modes. A simulation does not claim to understand stress. It just solves equations.
That clarity is missing from AI discourse. People attribute understanding where there is none. Consciousness where there is only computation.
The disappointment is not with the technology. The technology works. The disappointment is with the conversation. The hype. The confusion. The deliberate blurring of lines.
Maybe everyone is running a race without knowing where the finish line is.
Oh, not again.
A Small Attempt at Clarity
Today’s AI is pattern matching. Sophisticated. Useful. But pattern matching nonetheless.
True intelligence requires understanding. Causality. Consciousness. None of that exists in any machine today.
AGI is a goal. A direction. Not a destination that has been reached.
Anyone who claims otherwise is either selling something or has confused themselves.
The technology deserves respect. The claims deserve skepticism.
That is the engineer’s mindset. The same mindset that refuses to accept a black box. The same mindset that asks “why” until a satisfactory answer emerges.
Related reading: The Black Box That Bothered Me Enough to Open It