[NetEase Smart News, August 19] Artificial intelligence is now ubiquitous. Amazon's Alexa, Google's Google Assistant, Apple's Siri, and Microsoft's Cortana are prime examples. However, voice recognition isn't exactly a new concept. Commercial software like Dragon has been evolving steadily over the past two decades. Recently, we've seen numerous debates about the potential impact of artificial intelligence. Breakthroughs like "deep learning" might replace over 2 million Australian jobs by 2030. Similar claims have surfaced before. When I led the team developing the shearing robot in the 1970s, I had the privilege of discussing AI with the philosopher Julius 燢ovesi. His insights were profound. He believed that robots are fundamentally akin to ordinary toilet tanks—simple automatic devices. He once remarked, "If you can show me a robot that manipulates your behavior by lying to you intentionally, then I'll admit you’ve achieved artificial intelligence!" This is precisely what we hoped for in our shearing robots. Understanding the future requires viewing AI as another method of programming digital computers—a current reality. For decades, we’ve been learning to coexist with computers. Gradually, we've grown more reliant on them, and they’ve become increasingly user-friendly. Smartphones exemplify this trend. Our work has transformed—and will continue to transform—because of this reliance. Smartphones, while convenient, can also disrupt our sleep and social lives. Many other aspects of modern technology similarly affect us. Thus, accepting that we're in a state of "convergence," where AI fundamentally alters everything, remains challenging. We’ve witnessed countless exaggerated claims about AI. In the 1960s, natural language machine translation was said to be "just two or three years away." Decades later, we’re still working on it. In the late 1970s and early 1980s, many believed that by the mid-1990s, 95% of factory jobs would vanish. That hasn’t happened yet either. The "dot-com bubble" of 2001 sparked another wave of AI hype. Each time, reality proved the predictions wrong. Self-driving cars will eventually grace our streets due to decades of advancements in sensor technology, computer hardware, and software engineering. They’ll start slowly but will grow more prevalent over time. You can call this AI, but it won’t fundamentally change much. The real victims here are our appreciation of human intelligence. AI merely mimics skilled gameplay, mathematical proofs, or legal and medical interpretations—things associated with wise individuals. Meanwhile, tasks we consider less wise, like telling jokes or assessing safety, remain elusive for AI. Even animals challenge us. Scientists at MIT developed an artificial mine-detection device that could detect TNT vapors from underground mines. Yet, in real-world tests, it flagged TNT indiscriminately, with readings unrelated to actual mine locations. Trained dogs, however, found mines quickly and accurately. To better understand this, picture a crowded room at a party. Someone lights a cigarette and hides it in an ashtray under a chair. Everyone smells smoke, but no one knows where it’s coming from. A trained dog, though, finds it within seconds. Some speculate that quantum computers might one day revolutionize AI. For now, quantum computing experiments are akin to Alan Turing fiddling with relays in the 1920s. Whether these machines will deceive remains uncertain. Meanwhile, it’s worth questioning if the current AI craze, driven by companies like Google and Facebook, is fueled by investor appeal. Or perhaps it’s just another form of collective wishful thinking. [From: afr.com Compiled by James Trevelyan; Netease External Compilation Platform, compiled by çŠç¬® # ç¼ ayne.] Oblique Single Axis Solar Tracker System Oblique Single Axis Solar Tracker System,Oblique Single Axis Solar Tracker System Customized,oblique single axis solar tracker system device Hebei Jinbiao Construction Materials Tech Corp., Ltd. , https://www.pvcarportsystem.com
Robot learns to lie? People's understanding of AI is too exaggerated
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