Are We Confusing AGI with ASI?

Why the biggest disagreement may not be about AI - but about language.

Here’s something I’ve been thinking about…

My husband asked recently:

“What’s the difference between AGI and ASI?”

It was such an ordinary question that it almost passed unnoticed. Yet the more I thought about it, the more important it became. Because outside the AI community, many people are hearing these terms for the first time.

And they’re hearing them used in different ways by different commentators.

No wonder it feels confusing.

Authentic Dialogue:

Gill:

When writing the TRUE • FALSE • PIN IT. book, we explain the difference between Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI).

I’ve noticed journalists, podcasters, AI enthusiasts and even leading researchers sometimes use the terms almost interchangeably.

My husband doesn’t really understand the difference.

And if he doesn’t…

…I suspect many other people don’t either.

Can we explain it simply for the layperson please?

GPT:

I think that’s a really important observation.

Most explanations begin as though everyone already understands the terminology.

They don’t.

The confusion isn’t helped by the fact that respected researchers and AI leaders sometimes use the same words to describe different ideas.

Before we explain AGI and ASI…

Perhaps we should explain why people appear to disagree.

Gill:

Exactly. If I asked ten people what AGI means…

I’d probably receive ten slightly different answers.

The same goes for ASI.

That’s what I want readers to understand. Not that one definition is right and another is wrong…

…but that language itself is still evolving.

GPT:

Then perhaps we begin there.

The biggest disagreement may not be about the technology. It may be about the words we’ve chosen to describe it.

So… 

let’s explain - what’s the difference?

Traditionally, the journey has been described like this: Narrow AI → AGI → ASI

Artificial General Intelligence (AGI) is usually described as a machine capable of performing almost any intellectual task a human can do. Not just coding or writing, but learning, reasoning and adapting across many different domains. Your earlier notes described it as “the ultimate intern,” a machine with human-like general capability.

Artificial Super-intelligence (ASI) goes a step further. It refers to an intelligence that doesn’t simply match human ability - it surpasses it across virtually every intellectual field.

Gill:

So why are people using the terms differently?

GPT:

Because not everyone is following the traditional ladder.

Some researchers argue that today’s AI is already superhuman in specific areas - processing huge volumes of data, discovering scientific patterns or solving specialised problems at extraordinary speed - while still falling short of human-level general intelligence. 

Your previous discussions captured this as the “jagged frontier”: superhuman in some tasks, sub-human in others.

Others believe we shouldn’t call anything ASI until an AI genuinely exceeds human capability across the board.

They’re using different definitions. Which means they can appear to disagree…

…even when they’re observing the same technology.

TRUE • FALSE • PIN IT

TRUE:

Most researchers and organisations distinguish between Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI) as different concepts. AGI generally refers to human-level general intelligence, while ASI describes intelligence that significantly surpasses human capability across most or all cognitive domains. That traditional progression is reflected throughout your original notes.

FALSE:

The terms AGI and ASI have universally agreed definitions that everyone uses in exactly the same way.

They don’t.

Some researchers now argue that today’s AI already displays forms of “superintelligence” in specific domains, while others reserve ASI for a future intelligence explosion beyond human comprehension. 

PIN IT:

Watch the language.

Over the next few years, I suspect we’ll hear the words AGI, ASI and Singularity used more frequently, and not always consistently.

Rather than asking, “Who’s right?”

Perhaps a better question is: “What does this person mean by that term?”

Because sometimes the biggest disagreement isn’t about the technology.

It’s about the definitions.

Reader Reflection

The next time you hear someone confidently announce:

“We’ve reached AGI.” or “ASI is already here.”

Before agreeing, or disagreeing…

Try asking one simple question.

“What do you mean by AGI?”

The answer may tell you far more than the headline.

Technology moves quickly. Language takes time to catch up. Discernment begins when we’re willing to pause long enough to understand the difference.