The symbiosis of data and AI: Stop using human intelligence as the target of AI
This article is produced by NetEase Smart Studio (public number smartman 163). Focus on AI and read the next big era!
NetEase Smart News, November 26 – In recent years, artificial intelligence has touched nearly every corner of the news world, drawing attention from entrepreneurs, investors, and consumers alike. We can already see its potential: self-driving cars, home robot assistants, and even Amazon Echo 14.0, which allows people to perform tasks that human minds could never imagine. This future isn’t far off—it might become a reality within the next decade.
However, when we talk about AI or read articles about it, many of us still approach the topic with a flawed mindset. We tend to compare AI to human intelligence, treating human cognition as the ultimate benchmark. It’s natural to use something familiar like human intelligence as a measuring stick, but this perspective is limiting. Human intelligence is just one form of thinking, and it's not necessarily the best or most relevant standard for evaluating AI.
Why do we set AI goals that mirror human capabilities? Many people believe the goal of AI is to create systems that think like humans. But that’s too simplistic. Intelligence—whether human or artificial—can't be measured on a single scale of “good†or “bad.†Just as people have different strengths—some excel in memory, logic, or emotional intelligence while others are better at visual or auditory processing—AI also has unique strengths and weaknesses. Why should we limit AI to match human abilities, especially when some of the most powerful applications involve surpassing human performance?
Consider the AI systems that already outperform humans in many areas. Can humans translate text into 300 languages in just one second? Can they instantly determine the best driving route to avoid all traffic? In tasks involving massive data processing, machines often outperform us. These are the areas where AI is making real progress today.
So what should our expectations for AI be? Don’t get me wrong—I’m excited about AI that learns from observing and interacting with the world, mimicking human abilities. This is what we call Artificial General Intelligence (AGI), which doesn’t need training data to gain experience directly. The idea of machines that look and act like humans, understand the world, and communicate naturally is fascinating, but it’s not the only path forward.
In fact, the biggest impact of AI over the next 10 years may come from specialized systems rather than general ones. These systems thrive on large amounts of data and fast algorithms. For example, in Applied Semantics and later at Google, we built machine learning systems that selected the best ads from millions in milliseconds. Every time an ad didn’t get clicked, it became a valuable data point for training the AI. These systems learned from each interaction, leading to insights and decisions that go beyond human capabilities.
The relationship between AI and data is becoming increasingly symbiotic. Demand for data is growing exponentially across industries—from physical retail to e-commerce, from TV ads to mobile marketing, and from cash transactions to digital currencies. These shifts require software, AI, and lots of data to function effectively.
This is why I founded Factual—to provide high-quality location data for digital innovation, including AI. Data companies help businesses develop new products, attract customers, and understand real-world usage patterns. To build such data engines, we needed our own AI, which in turn benefits from more data provided by partners. It's a powerful feedback loop.
The effectiveness of our proprietary AI is hard to measure against human standards because it operates in different dimensions of intelligence. It processes trillions of data points to uncover meaning, enabling it to perform tasks we couldn’t have imagined. The most promising AI applications aren’t always the ones that look or behave like humans—they’re the ones that push boundaries and open up new possibilities.
Follow the NetEase Smart public account (smartman163) for the latest AI industry reports and insights.
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