The AI You Use Today Is Impressive, But It’s Not Even Close to What AGI Would Be

2026-06-20 · Source: Artificial Intelligence on Medium · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

Current AI tools like ChatGPT, Gemini, Claude, and Midjourney are impressive, excelling at specific tasks such as writing essays, planning trips, reasoning through problems, or generating art from text. However, these tools are considered "narrow AI," meaning they are trained for particular functions and often fail when presented with genuinely novel problems outside their design. AI researchers are pursuing Artificial General Intelligence (AGI), a hypothetical intelligent agent capable of learning and accomplishing any intellectual task that humans or animals can perform. AGI, unlike today's specialized systems, does not yet exist, representing a fundamentally different and more expansive goal in AI development.

Key takeaway

For AI enthusiasts and professionals evaluating the future of artificial intelligence, it is crucial to distinguish between current narrow AI capabilities and the hypothetical concept of Artificial General Intelligence. Understanding this fundamental difference helps you accurately assess progress and avoid overstating the current state of AI. Focus on the specific limitations of today's impressive but specialized tools, rather than conflating them with the yet-to-be-achieved goal of truly general intelligence.

Key insights

Artificial General Intelligence (AGI) is a hypothetical, general-purpose intelligence, fundamentally distinct from today's task-specific narrow AI.

Principles

• Current AI is narrow, excelling at specific, trained tasks.
• AGI aims for human-level intellectual task versatility.

Topics

• Artificial General Intelligence
• Narrow AI
• Large Language Models
• AI Capabilities
• AI Development

Best for: General Interest, AI Student, Tech Journalist

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• Artificial general intelligence must be assessed in its scientific and societal context — Assessing AGI requires considering both scientific and societal contexts, not just technical capabilities.
• AGI: Francois Chollet + Sam Altman — AI's rapid advancement necessitates evolving social contracts and re-evaluating human agency and intelligence.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence on Medium.