Artificial Intelligence: From Distant Idea to Daily Reality

Source: Excerpted from publications by Citic Press Group

Books: Deep Learning: The Core Driving Force of the Intelligent Era and Large Language Models

By Terrence J. Sejnowski

Word Count: 5,452

Estimated Reading Time: ~11 minutes

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Artificial intelligence (AI) is one of the hottest topics today, yet many people still see it as distant or unattainable. In fact, AI is already deeply integrated into everyday life — influencing how we dress, eat, work, and travel. This paradox — near yet far — is part of what makes AI unique.

The special program AI1001 Lessons by CCTV · Yangshipin, in collaboration with Citic Press Group, featured two renowned AI experts:

• Professor Wang Jian, Founder of Alibaba Cloud
• Terrence J. Sejnowski, author of Large Language Models

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1. The Real Revolution of Artificial Intelligence

Making the “Impossible” Possible

Large Language Models, The Three-Body Problem, and Equality

Wang Jian:

For many, AI’s first appearance came via science fiction — films like The Matrix. Its iconic green code aesthetic became synonymous with the future. More recently, The Three-Body Problem sparked public fascination with unknown possibilities.

But AI today is no longer science fiction — it’s woven into daily life.

• Example: DeepSeek’s breakthrough earlier this year.
• Numerous AI applications launched in just 6 months.
• Chips are essential for AI, but AI is now essential for building chips due to their complexity.

Olympics Case Study: AI enhances coverage by capturing remarkable moments previously unseen by the audience.

Key Question 1 — Computing & Intelligence:

• AI is inseparable from computation.
• Cloud computing is today’s most effective AI computing infrastructure.

The UN reports cloud computing still lacks universal access — inclusivity is a challenge for fair AI.

Without cloud, today’s AI wouldn’t exist.

Key Question 2 — Large Language Models (LLMs):

LLMs bring AI within everyday reach, becoming its most prominent face.

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LLMs: A Turning Point

• Infrastructure: Cloud computing
• Methods: Neural networks + deep learning
• Output: Large language models (LLMs)
• Analogy: LLMs are the “engine” of the AI “car”

Why So Revolutionary?

• The internet is now embedded within models.
• Information retrieval has evolved into dynamic, interactive conversations.
• LLMs pass practical versions of the Turing Test.

Social Impact:

AI paired with equity can amplify collective creativity — unlocking every person’s potential.

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2. Can AI Develop “Motherly Love”?

Terrence Sejnowski:

We want AI to understand emotions, but not replicate all human traits (e.g., jealousy). Geoffrey Hinton suggests embedding “motherly love” into AI — focusing attention and care, inspired by human maternal bonding.

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3. Interacting With AI: Redefining Intelligence

Does Politeness Matter? Do LLMs Hallucinate?

Sejnowski:

While writing Large Language Models, I used ChatGPT extensively.

• At each chapter’s end, I asked ChatGPT to summarize for general audiences — results often surpassed human reviewers’ expectations.

Effective Prompting Tips:

• Specify the role AI should play.
• State your question clearly.
• Make requests specific.
• Be polite — good manners often yield better responses.

Hallucinations in AI:

The term can mislead — these outputs are often logical, articulate, and creatively rich. Creativity is why writers adopt AI tools.

Wang Jian’s View:

Many criticisms of AI mirror criticisms once made about humans. Weaknesses are opportunities for study — not reasons for rejection.

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4. Education in the AI Era

Wang Jian:

Alan Turing said: the brain + paper + pencil + rules = a universal machine.

Today, AI is another “paper and pencil” — a tool to unlock creativity.

AI won’t make people identical — it expands diversity.

Sejnowski:

Biology thrives on diversity; AI will be no different. Children will explore AI in unique ways — curiosity will fuel innovation.

Chess Example:

• Magnus Carlsen reached world champion level by playing against chess programs — democratizing access to elite-level training.
• AI offers similar opportunities in Go and other fields.

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Advice for Young People

Wang Jian:

• Practice deep thinking.
• Develop critical thinking.

Sejnowski:

• Trust intuition.
• Don’t accept “impossible” as fact — breakthroughs often defy conventional wisdom.

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Recommended Reading

• Those who truly get things done, simply understand these 4 words
• Kevin Kelly’s talk: This skill will be most competitive in 10 years

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