Narrow, General, AGI, ASI: What We Mean and Why It Matters

The terminology ladder of AI capability is loaded. Clarify your definitions and you clarify your whole view of the field.

40 min · Reviewed 2026

Why Definitions Are Political

If a CEO says their product is AGI, they are simultaneously making a scientific claim, a marketing claim, and often a trigger for contractual clauses with investors. Definitions are not neutral. Pin yours down before you use the words.

The classical ladder

Level	Working definition
Narrow AI (ANI)	Performs a specific task, sometimes superhumanly
General AI (AGI)	Matches human-level performance across most cognitive tasks
Artificial Superintelligence (ASI)	Vastly exceeds human performance across all domains

Google DeepMind's Levels of AGI

A 2023 paper by Morris et al. at DeepMind proposed a two-axis framework: performance (from emerging to superhuman) and generality (narrow vs general). This escapes the binary trap and lets you ask, how general, how competent, and at what percentile of humans.

Level 0: No AI
Level 1: Emerging (equal to or better than unskilled human)
Level 2: Competent (50th percentile of skilled adults)
Level 3: Expert (90th percentile)
Level 4: Virtuoso (99th percentile)
Level 5: Superhuman (outperforms 100 percent)

Why the AGI term is contested

No agreed benchmark means anyone can claim it
The label can trigger contracts and IPO milestones
Different stakeholders prefer different goalposts
Anthropomorphizing leads to bad policy decisions
Emergent capabilities blur thresholds further

Alternative framings worth knowing

Framing	Core concept
Transformative AI	AI that triggers changes of industrial revolution scale
Human-level AI	Performs any cognitive task humans can do
Automated AI researcher	Can itself do the work of an AI researcher (recursive)
AGI as economic test	Can do 50 percent of remote work as cheaply as a human

Implications for your thinking

Whenever you see AGI, ask whose definition
Benchmarks should be paired with generality claims
Short timelines and long timelines both have credible defenders
Plan products for a range of outcomes, not a point estimate

AGI is the horizon — it keeps receding as you approach it.
— An AI researcher

The big idea: intelligence is multidimensional, and the AGI label collapses too much nuance. Use multi-axis frameworks and be explicit about what you are measuring.

End-of-lesson check

8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-creators-narrow-general-agi-asi

What is the main idea of "Narrow, General, AGI, ASI: What We Mean and Why It Matters"?
1. The terminology ladder of AI capability is loaded. Clarify your definitions and you clarify your whole view of the field.
2. Use AI as the final authority for the whole decision
3. Avoid checking the answer once it sounds polished
4. Focus only on speed instead of judgment
Which concept is most central to "Narrow, General, AGI, ASI: What We Mean and Why It Matters"?
1. ASI
2. AGI
3. narrow AI
4. definitions
Which use of AI fits this topic best?
1. Let the AI decide what matters without your review
2. Use the answer before checking whether it fits the situation
3. Level 0: No AI
4. Treat the AI output as automatically correct
What should a careful learner remember about "Where 2026 models sit"?
1. Use AI to draft or organize ideas about AGI, then verify before acting.
2. Skip the context so the tool can guess faster
3. Treat the output as private even after sharing it online
4. Use the answer without checking the source
You want to use AI after this lesson. What is the safest next step?
1. Act immediately because the AI answer is written clearly
2. Use AI for drafting and comparison, but verify before publishing or relying on it.
3. Hide uncertainty so the final answer looks cleaner
4. Use private or sensitive details before checking permission
How should AI output about AGI be treated?
1. As proof that no other source is needed
2. As a replacement for context, consent, or expert review
3. As a draft or helper output that still needs human judgment and verification
4. As something that becomes correct when it sounds confident
Name one way to verify an AI answer about AGI.
Which action would help you apply "Narrow, General, AGI, ASI: What We Mean and Why It Matters" responsibly?
1. Use the tool to avoid thinking through the tradeoff
2. Keep going even if the output conflicts with a trusted source
3. Treat the AI output as automatically correct
4. Level 1: Emerging (equal to or better than unskilled human)

← Back to interactive lesson

Tendril · Creators · AI Foundations

Narrow, General, AGI, ASI: What We Mean and Why It Matters

The terminology ladder of AI capability is loaded. Clarify your definitions and you clarify your whole view of the field.

40 min · Reviewed 2026

Why Definitions Are Political

The classical ladder

Level	Working definition
Narrow AI (ANI)	Performs a specific task, sometimes superhumanly
General AI (AGI)	Matches human-level performance across most cognitive tasks
Artificial Superintelligence (ASI)	Vastly exceeds human performance across all domains

Google DeepMind's Levels of AGI

Level 0: No AI
Level 1: Emerging (equal to or better than unskilled human)
Level 2: Competent (50th percentile of skilled adults)
Level 3: Expert (90th percentile)
Level 4: Virtuoso (99th percentile)
Level 5: Superhuman (outperforms 100 percent)

Why the AGI term is contested

No agreed benchmark means anyone can claim it
The label can trigger contracts and IPO milestones
Different stakeholders prefer different goalposts
Anthropomorphizing leads to bad policy decisions
Emergent capabilities blur thresholds further

Alternative framings worth knowing

Framing	Core concept
Transformative AI	AI that triggers changes of industrial revolution scale
Human-level AI	Performs any cognitive task humans can do
Automated AI researcher	Can itself do the work of an AI researcher (recursive)
AGI as economic test	Can do 50 percent of remote work as cheaply as a human

Implications for your thinking

Whenever you see AGI, ask whose definition
Benchmarks should be paired with generality claims
Short timelines and long timelines both have credible defenders
Plan products for a range of outcomes, not a point estimate

AGI is the horizon — it keeps receding as you approach it.
— An AI researcher

The big idea: intelligence is multidimensional, and the AGI label collapses too much nuance. Use multi-axis frameworks and be explicit about what you are measuring.

End-of-lesson check

8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-creators-narrow-general-agi-asi

What is the main idea of "Narrow, General, AGI, ASI: What We Mean and Why It Matters"?
1. The terminology ladder of AI capability is loaded. Clarify your definitions and you clarify your whole view of the field.
2. Use AI as the final authority for the whole decision
3. Avoid checking the answer once it sounds polished
4. Focus only on speed instead of judgment
Which concept is most central to "Narrow, General, AGI, ASI: What We Mean and Why It Matters"?
1. ASI
2. AGI
3. narrow AI
4. definitions
Which use of AI fits this topic best?
1. Let the AI decide what matters without your review
2. Use the answer before checking whether it fits the situation
3. Level 0: No AI
4. Treat the AI output as automatically correct
What should a careful learner remember about "Where 2026 models sit"?
1. Use AI to draft or organize ideas about AGI, then verify before acting.
2. Skip the context so the tool can guess faster
3. Treat the output as private even after sharing it online
4. Use the answer without checking the source
You want to use AI after this lesson. What is the safest next step?
1. Act immediately because the AI answer is written clearly
2. Use AI for drafting and comparison, but verify before publishing or relying on it.
3. Hide uncertainty so the final answer looks cleaner
4. Use private or sensitive details before checking permission
How should AI output about AGI be treated?
1. As proof that no other source is needed
2. As a replacement for context, consent, or expert review
3. As a draft or helper output that still needs human judgment and verification
4. As something that becomes correct when it sounds confident
Name one way to verify an AI answer about AGI.
Which action would help you apply "Narrow, General, AGI, ASI: What We Mean and Why It Matters" responsibly?
1. Use the tool to avoid thinking through the tradeoff
2. Keep going even if the output conflicts with a trusted source
3. Treat the AI output as automatically correct
4. Level 1: Emerging (equal to or better than unskilled human)

← Back to interactive lesson