We define AGI as a system that can perform a wide range of cognitive tasks at or near human level. Modern LLMs meet that bar.

They can write, code, reason, and learn new tasks from minimal instruction. They're often indistinguishable from humans, not just in conversation, but in actual problem-solving ability.

Modern LLMs pass the Turing Test; they don't just sound like a human, but think like one too.

Of course, they aren’t perfect. They struggle with certain edge cases:

• Precise letter counting
• Brittle reasoning under adversarial prompts

But humans have weaknesses as well. What matters is the overall capability.

In fact, they also surpass humans in key areas:

• Near-instant mental math at scale
• Summarizing massive documents while retaining global context
• Rapidly synthesizing knowledge across domains

If we encountered an alien species with this exact capability set, we wouldn’t hesitate to call it generally intelligent.

The debate shouldn’t be about whether AGI exists anymore. It does.

The real question now is how close we are to ASI, and what happens when systems don’t just match human intelligence, but exceed it.