Strong Artificial Intelligence, also known as Artificial General Intelligence (AGI), is a field of research that aims to create machines that can reason, learn and solve problems like humans.

AGI systems have the potential to revolutionize many industries and solve complex problems in medicine, climate change, and space exploration.

However, AGI is a monumental challenge requiring significant advances in AI research.

What is AGI?

AGI is an advanced form of AI capable of performing human tasks. It can mimic human sensory and motor skills, performance, learning and intelligence.

AGI can use these capabilities to reason, solve problems, understand abstract concepts, and perform highly complex tasks without human intervention.

l'AGI vu par Midjourney
aGI as seen by Midjourney

Characteristics of general artificial intelligence

  1. Basic knowledge basic knowledge: AGI will have access to huge amounts of knowledge on all subjects.
  2. Common sense: Unlike current AI, the AGI will develop common sense to help it make decisions.
  3. Transfer learning: The AGI will be able to transfer knowledge and skills from one task to another.
  4. Abstract Thinking: The AGI will be able to understand and break down abstract concepts, ideas and thoughts.
  5. Cause and Effect the AGI will be able to understand and use cause and effect relationships to guide their actions.

AGI vs. Weak AI

Weak AI encompasses systems dedicated to specific tasks, such as speech recognition, image recognition or text generation. These systems, while effective in their fields, cannot be applied to other tasks without specific training.AGI, on the other hand, aims to create systems that can learn and understand any human intellectual task, thus allowing them to generalize their skills to new challenges without specific training.

The challenges of AGI

Achieving AGI is a major challenge for researchers. Obstacles include:

  • Cognitive flexibility: General artificial intelligence systems must be able to adapt quickly and efficiently to new environments, problems, and tasks.
  • Observational and experiential learning: AI systems must learn autonomously by interacting with their environment and learning from their experiences.
  • Natural language understanding: General artificial intelligence systems must understand and generate natural language to communicate and interact with humans in a fluent and efficient manner.
  • Creativity and complex problem solving: General artificial intelligence systems must be able to solve complex problems and devise innovative solutions never before encountered.

Future prospects for AGI

Despite the challenges, progress in various areas of AI is promising. Future trends and issues for AGI include:

  • Weak AI Synergy and Integration: Combining and integrating different Weak AI systems could help create more powerful AGI systems.
  • Deep learning and neural networks: Advances in these areas could enable better modeling of human cognitive skills and support the development of AGI.
  • Advances in neuroscience and understanding of the human brain: A better understanding of how the human brain works can help researchers design more effective AGI models and techniques.
  • Ethics and accountability: The development of AGI raises important ethical and accountability issues, requiring collaboration between researchers and policy makers to ensure responsible and ethical development of AGI.

The potential impact of AGI on our society

If AGI is successfully developed, it could revolutionize the way we interact with machines and address the complex challenges facing our society. Indeed, AGI could solve problems that were previously insurmountable for humanity, and pave the way for new technological and scientific advances.

Companies such as DeepMind, Anthropic, Darktrace and OpenAI are actively working on improving AI to contribute to AGI. Recent breakthroughs include models such as GPT-4, Alpha Go, and Gato.


General Artificial Intelligence represents an ambitious and promising goal for the future of AI. Despite the challenges, advances in artificial intelligence are generating strong interest and optimism that successful and ethically responsible AGI systems can be realized. AGI has the potential to transform our relationship with machines and help us address major issues in our society.

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