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NetEase Smart News, March 18 – In 2017, artificial intelligence attracted $12 billion in venture capital funding. Yet, we are still only at the beginning of realizing its true potential. Companies like Amazon have started using AI technologies such as computer vision, sensors, and deep learning to replace traditional roles in their physical stores. In the investment world, AI has become a hot topic, with major innovations and news reports focusing on it. But is AI truly delivering on its promises?
At the World Economic Forum, Dr. Li Kaifu pointed out that many entrepreneurs and investors are eager to label their companies or investments as "AI." However, he warned that some of these AI-driven startups may not last long. He suggested that by the end of 2018, some of the more exaggerated AI stories could be exposed as unrealistic. These include companies that created compelling narratives without real technological substance, and others that were misled by investors who didn’t fully understand the technology.
Despite these concerns, Dr. Li remains confident that AI will continue to evolve and eventually impact many jobs. But how can we tell the difference between genuine AI progress and overhyped claims? The answer lies in understanding what AI really is—and what it isn’t.
When people talk about AI, they often use different definitions, which makes it hard to distinguish real advancements from marketing hype. I spoke with AI experts to find common ground, but the conversation only raised more questions. For instance, when should we stick to traditional definitions, and when does accuracy matter less? These nuances aren't always clear, and the AI industry seems to thrive on them. With $12 billion in funding, there's a lot at stake.
Top thinkers are also debating the risks of AI. Facebook’s Mark Zuckerberg dismissed fears of AI as “doomsday scenarios†and called them irresponsible. Meanwhile, Elon Musk criticized Zuckerberg’s perspective, arguing that his understanding of AI is limited. Musk later had a similar debate with Harvard professor Steven Pinker, where he emphasized the distinction between narrow AI and general AI—something he believes Pinker misunderstood.
Given the growing concerns, the public needs to understand the different levels of AI to assess its real impact. Is AI just a buzzword, or is it making real progress? Let’s take a closer look.
“Smart Like People?â€
Erik Cambria, an expert in natural language processing, told me that while everyone claims to be working on AI, few actually do. He explained that the term “artificial intelligence†originated from human intelligence, but no system today matches even the simplest human cognitive abilities. “We don’t even understand how the human brain works,†he said. “So, strictly speaking, nobody is doing real AI.â€
Cambria added that modern AI tools are essentially powerful data classification systems. They’re impressive, but they don’t mimic human thinking. He also pointed out that neural networks—often touted as a new wave of AI—have been around for decades. What’s changed is the availability of more data and computing power, but this doesn’t mean machines are truly intelligent.
“Companies are looking for ways to create the illusion of intelligence,†he said. “But this isn’t real intelligence—it’s just a reflection of it.†These systems may excel in specific tasks, but they struggle with anything outside their narrow scope.
While these imitations of intelligence have sparked public imagination and delivered value in various industries, they don’t change the fundamental definition of AI.
Assisted Intelligence, Enhanced Intelligence, and Autonomous Intelligence
Accurate definitions matter, especially in science. Richard Feynman once said, “The first principle is that you cannot fool yourself—and you are the easiest person to fool.†In the context of AI, this means scientists must clearly communicate what they’re developing, even if it’s controversial or risky.
Some efforts are being made to clarify AI terminology. A recent PwC report distinguishes between “assisted intelligence†(like GPS navigation), “enhanced intelligence†(tools that help people do things they couldn’t before), and “autonomous intelligence†(such as self-driving cars).
Roman Yampolskiy, an AI security researcher, noted that AI is a spectrum. While terms like “Strong AI†or “Superintelligence†are used to avoid confusion, current AI systems are far from that. He argues that the real challenge isn’t the terminology, but the complexity of the systems themselves.
When asked about the risks of AI, Yampolskiy said that as AI becomes more capable, so do the problems it creates. From privacy issues to job displacement, the challenges are growing. And with these advancements come ethical questions about deception and responsibility.
Is “Artificial Intelligence†Just a Buzzword?
I spoke with Carl Landers, CMO of Conversica, a company promoting AI-powered virtual assistants. He admitted that the definition of AI varies widely. “For me, AI is any technology that helps solve business problems,†he said. “I’m not interested in philosophical debates like ‘Can machines think?’ My focus is on practical solutions.â€
Landers also acknowledged that “AI†was once a marketing tool, but its appeal is fading. Many companies now claim to use AI, making it harder to differentiate. Still, the term serves a purpose: it signals that something previously impossible is now possible.
According to Brian Decker, founder of EncoreLab, AI is more of a semantic argument than a technical one. “A marketing executive might call a porch light with a motion sensor ‘AI’ because it ‘knows when it’s dark,’†he said. “But a hardware engineer would argue that it’s just following pre-programmed rules.â€
While the debate continues, AI-driven products are creating real value for humans. At the end of the day, people care more about results than semantics. As Dr. Li Kaifu revealed in an interview with Quartz, his private bank’s algorithmic trading system returned eight times its investment. “I no longer deal with humans,†he said.
(Source: SingularityHub; Compilation: Netease Intelligence; Engagement: Li Qing)
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5G Industrial Router features Application field
With the continuous progress and development of science and technology, a new generation of communication technology -5G is gradually entering our lives. In the industrial field, the application of 5G technology is also constantly advancing, bringing new opportunities and challenges to industrial production. Industrial routers, as one of the key devices for 5G applications, play a crucial role. This paper will introduce the definition, characteristics, application fields, development trends and other aspects of 5G industrial routers in detail.
What is 5G Industrial Router
Simply put, 5G industrial router is a special type of router equipment based on 5G technology, which is used to connect industrial equipment and systems to achieve high-speed transmission and exchange of data. Compared with traditional routers, 5G industrial routers have higher bandwidth and lower latency, which can better meet the requirements of real-time data transmission and high stability in industrial production environments.
Features of 5G industrial routers
First of all, high bandwidth is a significant feature of 5G industrial routers. The introduction of 5G technology enables industrial routers to support large-scale data transmission and processing, providing more powerful data communication capabilities for modern industrial production. Second, low latency is another important feature of 5G industrial routers. The advantage of low latency enables industrial routers to achieve real-time data transmission and processing, improving the efficiency and response speed of industrial production. In addition, 5G industrial routers also have the characteristics of high stability, high reliability and high security, and can cope with complex industrial environments and demanding data communication needs.
5G industrial router application field
First of all, the Internet of Things field is one of the important areas of 5G industrial router application. As the popularity and application range of Internet of Things devices continue to expand, the requirements for data communication are becoming higher and higher, and 5G industrial routers can provide reliable data connection and transmission services for Internet of Things devices. Secondly, the field of industrial automation is also one of the main application areas of 5G industrial routers. In industrial production, the transmission and processing of real-time data is crucial to improve production efficiency and quality, and 5G industrial routers can meet the needs of high-speed and low-latency data transmission to help achieve the goal of industrial automation. In addition, 5G industrial routers can also be widely used in intelligent transportation, smart cities, intelligent manufacturing and other fields.
With the continuous development of 5G technology, 5G industrial routers will also usher in a new development trend. First, with the popularity of iot devices, the demand for 5G industrial routers will further grow. Secondly, the introduction of virtualization and network slicing technology makes industrial routers have higher flexibility and scalability, in addition, the improvement of security will also become an important direction of the development of 5G industrial routers to cope with increasingly complex network threats and security challenges.
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Shenzhen MovingComm Technology Co., Ltd. , https://www.movingcommtech.com