AI Stages: ANI, AGI, ASI

July 4, 2024

AI Development Stages: ANI → AGI → ASI #

Artificial Intelligence is often described in three stages, based on capability and scope:

• ANI: Task-specific intelligence (today’s AI)
• AGI: Human-level general intelligence (future goal)
• ASI: Beyond human intelligence (theoretical)

ANI — Artificial Narrow Intelligence #

• also called Weak AI
• designed to perform one specific task
• Operates within a predefined environment
• Cannot generalise beyond its training
• Most AI systems today are ANI

examples

AI Agents

December 15, 2025

AI Agents #

Also referred to as Agentic AI.

AI agents are intelligent systems that can plan, make decisions, and take actions to achieve goals with minimal human intervention.

• A common use case is task automation

• for example booking travel based on a user’s request.

• AI agents typically build on Generative AI and use Large Language Models (LLMs) as the reasoning core.

• Agents often interact with tools (APIs, databases, calendars) to complete multi-step workflows.

Transformer

December 15, 2025

Transformer #

• is an architecture of neural networks

• based on the multi-head attention mechanism

• text is converted to numerical representations called tokens, and each token is converted into a vector via lookup from a word embedding table

• takes a text sequence as input and produces another text sequence as output

• foundation for modern Large Language Models (LLMs) like ChatGPT and Gemini

• Transformer architecture

• Model, Positionwise Feed-Forward Networks, Residual Connection and Layer Normalization