ANI, AGI, ASI — AI Capability Levels Memory Trick

Step by Step

ANI

Artificial Narrow Intelligence — everything that exists today

Excels at exactly ONE specific task and cannot transfer that skill anywhere else. This is 100% of deployed AI right now, no exceptions.

Example: ChatGPT writes excellent essays but cannot physically drive a car. A self-driving car's AI drives well but cannot write an essay.

AGI

Artificial General Intelligence — the hypothetical goal

Human-level ability across ALL tasks — reasoning, creativity, physical skills, social skills — all at once, transferable across domains. Does not exist yet, anywhere, despite marketing claims.

Example: a system that could learn to drive, write a novel, do surgery, and hold a philosophical conversation all with the same underlying general intelligence — no such system exists in 2026.

ASI

Artificial Superintelligence — purely theoretical

Surpasses human intelligence in every domain simultaneously. Entirely theoretical and speculative — discussed in AI safety research, not something built or even close to being built.

Example: this only appears in thought experiments and futurist discussions, never in a product spec sheet.

Applied Walkthrough

A news headline claims "Company X achieves AGI with new chatbot."

Ask: can this chatbot drive a car, perform surgery, and physically navigate a room, all with the same core system?

No — it's a language model, excellent at one narrow domain (text). That makes it ANI, not AGI, regardless of the marketing headline.

Rule of thumb: if a real, deployed, named product is being discussed, it is almost certainly ANI. AGI and ASI are goalposts, not products.

Exam Application

Exam and quiz questions frequently plant a trick: describing an impressively capable but still task-specific system (a chatbot, an image generator, a game-playing AI) and asking if it is AGI. The correct answer is always ANI, because it lacks cross-domain transfer. Only select AGI or ASI for hypothetical, non-existent, or purely theoretical systems described in the question.

⚠ Common Trap

The most common trap is being fooled by marketing language. Companies frequently use the phrase "general" or "general-purpose" for narrow systems as a marketing term, not a technical claim. A large language model that can discuss many topics is still ANI — breadth of topics is not the same as true cross-domain general intelligence (physical, social, reasoning, creative all at once).

✓ Quick Self-Check

1. What percentage of AI deployed today is ANI?

100% — no AGI or ASI systems exist yet, only narrow AI.

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2. What is the key defining feature that separates ANI from AGI?

Transferability. ANI excels at one task and cannot transfer that skill; AGI would apply the same general intelligence across all tasks.

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3. Is ASI something researchers have built even a limited version of?

No. ASI is entirely theoretical and exists only in AI safety research and thought experiments.

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4. A company claims its chatbot has achieved "general intelligence." What should you check before believing it is AGI?

Whether it can perform well across completely unrelated domains (physical tasks, unrelated reasoning, novel skills) — not just discuss many topics in text.

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5. Does GANG stand for four capability levels or three?

Three — ANI, AGI, ASI. The mnemonic uses the word GANG to lock in that General AI (AGI) doesn't exist yet, and only Narrow AI is real today.

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