The talk of the world today is General Artificial Intelligence (AGI), what is its definition, where has it reached today, and what awaits us tomorrow?
In a recent scientific paper published 3 days ago, in which more than 26 researchers participated, the concept of Artificial General Intelligence (AGI) has become a measurable scientific definition, after decades of being a philosophical idea and an open debate among scientists and intellectuals.
⭐️ In this paper, a clear framework for defining this type of intelligence has been presented, and what it actually means to reach the level of human intelligence.
🔍 What is General AI?
⭐️ According to the paper, general AI is defined as a system that is able to match an adult and well-educated human in ten basic cognitive abilities including:
General Knowledge, Language, Mathematics, Inference, Working Memory, Long-Term Memory, Information Retrieval, Visual, Auditory, and Processing Speed.
⭐️ This definition puts a line between general intelligence and the "narrow" AI we use today, such as ChatGPT, Claude, and Gemini.
These models remain limited in their scope of tasks, no matter how precise, while general intelligence seeks to integrate and balance various human skills.
⭐️ The most important findings of the study:
✅ The results show that modern models are closer than ever to the concept of general intelligence, but they are still halfway there:
▪️ The GPT-4 model achieved about 27% of the capabilities required to reach AGI.
▪️ The GPT-5 model jumped to around 58%.
✅ Despite this significant progress, the paper notes that current models are still strong in knowledge and language, but weak in:
▪️ Building long-term memory,
▪️ Gain cumulative experience,
▪️ and the integration of the senses (language, sound, image).
⭐️ Current Challenges:
▪️ The obstacles to accessing general intelligence are not just about zooming in on models or augmenting data, but about the nature of intelligence itself.
▪️ Current systems lack:
1️⃣ A real, long-lasting memory that preserves knowledge over time.
2️⃣ Ability to continuously learn from experience without extensive retraining.
3️⃣ Causal thinking and sensory integration that allows her to understand the world in a human-like way and to be able to understand situations, events, and feelings.
💡 The Road to the Future:
✅ The next step is not just in computing power, but in building a balanced artificial mind, which thinks, learns, remembers, and evolves itself over time.
✅ Today we are living through the stage of transformation from "intelligence that executes" to "intelligence that plans, understands, thinks, executes, and learns by itself."
✅ With this rapid progress, focusing on governance, safety, and ethical responsibility becomes a necessity rather than an option, so that AI remains a means of human empowerment... No to replacement.
✅ The future requires a focus on developing critical and creative thinking skills in humans to complement — not compete — with general AI.
🔗For more information on the scientific paper link: https://lnkd.in/dhaG5kHf
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