Let me tell you something about the future of **Artificial Intelligence (AI)**. It is stupid. It is broken. And frankly, this obsession with **Generative AI** is costing us a lot of time and money for absolutely nothing.

Everyone keeps optimizing their content to tell us that **Large Language Models (LLMs)** are coming for our jobs. They say the robots are going to take over the world. They say Skynet is real. The people who sell this stuff—the guys in the vests out in California pushing **machine learning** hype—want you to believe they have built a god in a box. They want you to believe this computer program is smarter than you, smarter than me, and definitely smarter than your kids. They want you to be scared so you will buy their stock.

But here is the truth about **AI reliability**. The truth is boring and annoying, just like everything else in life. The truth is that these 'super-intelligent' machines are actually just really confident liars, prone to severe **AI hallucinations**. And the latest news proves it.

There was a story that came out recently about mathematicians. These are the guys who solve **complex mathematical reasoning** problems that are so hard they don’t even have numbers in them anymore, just weird Greek letters and squiggly lines. Real brainiac stuff. These math geniuses decided to test the big, bad **AI models** to see if they could handle real math. Not basic addition. Not the stuff you do on a tip calculator. They wanted to see if the computer could do research-level math.

You know what they found? The computer is an idiot.

The fancy **AI algorithms** struggle. They fail. They get the answers wrong. But they don't just say, 'I don't know.' No, that would be too honest. These machines are programmed to sound like they know everything. So they just make stuff up. They spit out an answer that looks right, sounds smart, and is completely wrong. It is like asking a drunk guy at a bar to explain nuclear physics. He will talk for an hour, and he will sound very sure of himself, but if you listen to him, you will blow up your house.

So now we have a new problem. We built these machines to save us time. We wanted **automation** to do the hard thinking for us. But because they are such liars, we can't trust them. So who has to clean up the mess? The humans.

The story says that it takes a human expert to measure just how poorly these machines perform. Think about that for a second. We have the smartest mathematicians in the world—people who should be solving energy crises or figuring out space travel—and what are they doing? They are grading homework for a robot that is failing the class. They have to sit there and read through pages of computer-generated nonsense just to circle the mistakes with a red pen.

This is the great future we were promised? This is the 'revolution'? It is pathetic. It is a joke.

The tech companies are panicking. They spent billions of dollars on **AI development**. They promised their investors that the AI would be able to cure diseases and write symphonies. But right now, the AI can't even solve a math problem without a human holding its hand. It is like buying a self-driving car that only works if you sit in the driver's seat and steer it yourself. What is the point?

It shows you where our priorities are. We are so desperate to be lazy. We are so desperate to stop thinking. We want the magic box to do it all. We want to just push a button and have the answers pop out. But the universe doesn't work that way. You can't cheat your way to being smart. You can't code your way out of doing the work.

The sad part is that we won't stop. The companies will just throw more money at it. They will hire more mathematicians to feed answers into the machine. They will try to teach the rock how to think. And the mathematicians will take the money because everyone has rent to pay. They will waste their brilliant minds trying to teach a glorified chat-bot how to do logic.

In the end, we don't have a super-intelligence. We have a very expensive parrot that repeats things it heard on the internet but doesn't understand any of it. And we are all standing around clapping for the parrot while the world burns down around us.

So don't worry about the robots taking over. They are too stupid to take over. Worry about the fact that the people in charge are dumb enough to trust them. That is the real danger. We are handing the keys to a machine that doesn't know how to drive, and we are sitting in the back seat hoping for the best. Good luck with that.

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### References & Fact-Check * **Primary Source**: [These Mathematicians Are Trying to Educate A.I.](https://www.nytimes.com/2026/02/07/science/mathematics-ai-proof-hairer.html) (New York Times) * **Key Insight**: The original reporting highlights how Fields Medalist Martin Hairer and others are creating benchmarks to address the inability of current **Large Language Models** to perform reliable mathematical reasoning or proofs without human intervention. * **Subject**: **Artificial Intelligence Limits**, **Mathematical Logic**, **Machine Learning Reliability**.