Artificial Intelligence

Author: Rino , Created on Jul 23, 2025 3 min read

Delves into the field of Artificial Intelligence, a branch of computer science focused on creating machines capable of learning, reasoning, and problem-solving akin to human intelligence.

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Artificial Intelligence

When We Talk About AI, What Are We Really Talking About?

When we talk about Artificial Intelligence (AI), what are we actually discussing? Simply put, it is a branch of Computer Science dedicated to creating "intelligent" machines. These machines are expected to be able to learn, reason, solve problems, and even understand language like humans.

Early on, Alan Turing (British, 1912-1954) proposed a famous thought experiment—the "Turing Test"—to provide an operational criterion for whether a machine can think.

The Current AI Wave

In recent years, AI, especially in the field of machine learning, has advanced at a breakneck pace, giving birth to many astonishing tools:

  • Large Language Models (LLMs): Like OpenAI's GPT series or Google's Rino, they can conduct fluent conversations, write articles, and code, acting like an omniscient "external brain."
  • Image Generation Models: Such as Midjourney and Stable Diffusion, which can create photorealistic images and even works of art from simple text descriptions.
  • Ubiquitous Applications: From assisting doctors in drug discovery to helping programmers debug code, and serving as a source of inspiration for content creators, AI is rapidly permeating every industry.

A Mirror to Ourselves

But the impact of AI extends far beyond technology. It acts more like a mirror, forcing us to reflect on deeper questions: What exactly is "intelligence"? What is "consciousness"?

  • These questions are at the core of what Philosophy of Mind has been exploring for centuries.
  • The artificial neural networks we design, in turn, provide new ways to understand the brain—the most complex biological hardware—which is the research goal of Cognitive Neuroscience.
  • Observing the learning patterns and "mistakes" of AI models also offers interesting parallels for understanding our own human thought processes, creating a fascinating intertextuality with the research of Cognitive Psychology.
  • Popular Science:
    • (Book) Artificial Intelligence: A Very Short Introduction by Margaret A. Boden.
    • (Book) Life 3.0: Being Human in the Age of Artificial Intelligence by Max Tegmark.
    • (Book) The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World by Pedro Domingos.
  • Textbooks:
    • (Book) Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig.
  • Further Reading:
    • (Book) Superintelligence: Paths, Dangers, Strategies by Nick Bostrom.
    • (Book) Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville.