A concrete example
When Sam Altman talks about AGI in 2027, he means an AI that can handle most of the intellectual tasks a human does.
Why it matters
You'll see AGI and ASI in 90% of mainstream AI debates. Without the definition, you can't follow the conversation.
You hear it in debates about the long-term trajectory of artificial intelligence.
Don't mix it up with
LLM: An LLM is an AI model trained to understand and generate language.
AI model: An AI model is the engine that reads your request and produces an answer.
Common mistakes
- Mixing up AGI (general-purpose) with ASI (super-intelligent).
- Believing the definition is settled (it isn't).
- Talking about AGI as a fixed date when opinions range from 2027 to 'never'.
Quick checklist
- First I check whether the word names a concept, a tool, a risk, or a metric.
- I tie it to a concrete case: When Sam Altman talks about AGI in 2027, he means an AI that can handle most of the intellectual tasks a human does.
- I keep the main trap in mind: Mixing up AGI (general-purpose) with ASI (super-intelligent).
Quick questions
What is AGI / ASI in AI?
AGI means a general-purpose AI at human level. ASI means an AI that would go far beyond humans.
Where will I run into AGI / ASI?
You hear it in debates about the long-term trajectory of artificial intelligence.
Which word should I read next?
Start with LLM, AI model, Reasoning model.