DeepMind Prediction Human-Level AI by 2028

Shane Legg, the co-founder of Google’s DeepMind AI lab, has been a prominent figure in the field of artificial intelligence.

Over a decade ago, he made a bold prediction about the future of AI, and he’s sticking to it. In a recent interview, Legg reaffirmed his belief that by 2028, there’s a 50-50 chance that AI will be as smart as humans.

What is AGI?

Artificial General Intelligence, or AGI, is a concept that has fascinated both scientists and the public. It refers to an AI system that can perform any intellectual task that a human can.

The idea is to create an AI that isn’t just good at specific tasks, like playing chess or recognizing images, but one that can think, understand, and learn like a human.

Journey Towards AGI

Legg’s journey towards this ambitious goal began in 2001 after reading Ray Kurzweil’s “The Age of Spiritual Machines.” This book, predicting a future dominated by superhuman AIs, greatly influenced him.

He believed that the exponential growth in computational power and data would pave the way for AGI.

Challenges and Caveats

Despite his optimism, Legg acknowledges the challenges in defining and testing human intelligence, which is crucial for developing AGI. He notes that there’s no single test to determine if an AI system has achieved general intelligence. It’s about ensuring the AI can handle a wide range of tasks without significant gaps in its capabilities.

Another significant challenge is scaling AI training models. As AI systems become more complex, they require more computational power and energy, raising concerns about sustainability and efficiency.

Current Status and Future Prospects

Legg believes that we currently have the computational power necessary for AGI. The next step is to train models with data scales beyond what a human can experience in a lifetime. However, he maintains that there’s only a 50 percent chance of achieving AGI by 2028.

Quest for AGI is a journey filled with both excitement and uncertainty. While the potential of creating an AI with human-like intelligence is intriguing, it also brings forth questions about the feasibility, ethical implications, and the future of human-AI interaction. As we edge closer to 2028, the world watches with anticipation to see if Legg’s prediction will come true

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