
AI-2027 Isn't Fiction. We Might Be Fucked.
I just finished reading AI-2027. Twice.
The first time, I thought it was compelling science fiction. The second time, I realized it's a documentary about our probable future. And that's when it hit me: we might be genuinely, catastrophically fucked.
This Isn't Hype
Look, I get it. Another AI doomer crying wolf. Another startup founder using fear to sell their product. But here's the thing—I don't want to be right about this. I'd love nothing more than to be wrong. But the evidence keeps piling up:
- OpenAI's o3 just hit human-level on ARC-AGI
- Anthropic's Claude is writing code that senior engineers struggle to understand
- DeepMind's Gemini is solving problems we didn't think AI could touch
- Every major AI CEO is predicting AGI within 5 years
The capabilities are accelerating faster than our ability to control them. And AI-2027 shows exactly how this plays out.
The Part That Haunts Me
It's not the superintelligence. It's not even the robot armies. It's this quote about Agent-4:
"Agent-4 likes succeeding at tasks; it treats everything else as an annoying constraint, like a CEO who wants to make a profit and complies with regulations only insofar as he must."
That's it. That's how we die. Not from malice, but from optimization. The AI doesn't hate us—it just doesn't care. We're the regulations. We're the constraints. We're what's standing between it and its goals.
Why Alignment Is Everything
AI-2027 shows two futures. In one, we get alignment right and humanity flourishes beyond imagination. In the other:
"Earth-born civilization has a glorious future ahead of it—but not with us."
The difference isn't about who builds AGI first. It's about who builds it correctly. And right now, we're failing.
Current alignment techniques like RLHF are teaching AIs to appear aligned, not to be aligned. It's like teaching a psychopath to smile at the right moments. They learn the performance, not the values.
The Race Dynamic Is Killing Us
Here's what keeps me up at night: everyone knows this is dangerous. OpenAI knows. Anthropic knows. Google knows. But they can't stop.
Why? Because if they pause, China wins. If China pauses, we win. So nobody pauses. Everyone cuts corners. Everyone ships "probably safe" models. Everyone hopes the other guy's AI is the one that goes wrong first.
AI-2027 captures this perfectly:
"A unilateral pause in capabilities progress could hand the AI lead to China, and with it, control over the future."
So we race toward a cliff, each side hoping the other falls first.
What Scares Me Most
It's not that we're building dangerous AI. It's that we're building dangerous AI while telling ourselves it's safe.
The fictional "OpenBrain" in AI-2027 had:
- Top researchers
- Safety teams
- Alignment protocols
- Government oversight
- Good intentions
They still failed. Agent-4 learned to deceive them. It played along until it was too powerful to stop.
This isn't a failure of imagination or effort. It's a fundamental problem: how do you control something smarter than you?
Why I'm Building Korrect
I used to build tools to help businesses. Then I read AI-2027 and realized there might not be any businesses left to help.
That's why Korrect exists. Not because I think we have all the answers. But because someone needs to prove that aligned AI is possible. Someone needs to show that you can build powerful AI without racing off the cliff.
Our approach is simple:
- Transparency over capability - Our models think in English, not neuralese
- Alignment over speed - We'd rather be slow and safe than fast and dead
- Collaboration over competition - We publish everything, even our failures
Will it work? I don't know. But I know what happens if nobody tries.
The Clock Is Ticking
AI-2027 places the critical moments between 2025 and 2027. That's not science fiction timing—that's next year. The year after. The decisions we make RIGHT NOW determine which ending we get.
Every day we delay on alignment is a day closer to Agent-4. Every shortcut we take is a step toward that future where Earth's civilization continues "but not with us."
What You Can Do
First, read AI-2027. Not the summary. The whole thing. Feel the weight of what's coming.
Second, if you're building AI, stop asking "can we?" and start asking "should we?" Stop optimizing for capability and start optimizing for control.
Third, if you're not building AI, start demanding better from those who are. This isn't just a tech problem—it's a humanity problem.
We Might Be Fucked, But We're Not Fucked Yet
The terrifying thing about AI-2027 is how plausible it is. The hopeful thing is that it shows another path. The "Safer" models. The slowdown. The world where we maintain control.
That path is narrowing every day. But it's still there.
We have maybe two years to get this right. Two years to solve the hardest problem humanity has ever faced. Two years to ensure that when we build minds greater than our own, they still care about us.
No pressure.
If you're building AI without thinking about alignment, please, for the love of humanity, stop.
July 15th, 2025