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The teen Bill Gates has answers to the AI-pocalypse the 70-year-old Gates has forgotten

Hacking education to thrive in the AI world is the first and best step in keeping control

The teen Bill Gates has answers to the AI-pocalypse the 70-year-old Gates has forgotten

Bill Gates, the 25-year-old tech titan, expresses his growing concerns about the potential consequences of artificial intelligence. In the same breath that he praises AI's transformative power in education, Gates worries about the looming threat of mass unemployment, cyber attacks, and the concentration of wealth into the hands of tech moguls. He yearns for a time when the world didn't resemble the Great Depression, but acknowledges that the solutions to these problems are currently unattainable.

Gates proposes that the answer lies in international regulation, national planning, and investment in new employment opportunities for displaced workers. However, he recognizes that these ideas are impractical in today's rapidly changing world. Education, once a beacon of learning, has quickly become a battleground for AI-generated homework, leaving many students confused and unsure of their place in a tech-driven world.

The fundamental issue, Gates argues, is that people are still grappling with the basic concepts of coding and digital technology, despite the ubiquity and power of these tools. He suggests that teenagers, like his younger self, should embrace the hacker mentality and explore the limitless possibilities of AI, viewing it as a creative force rather than an overwhelming force to be feared.

By teaching students how to think critically about AI, rather than simply accepting its omnipotence, Gates believes that the transformative power of this technology can be harnessed for good. This shift in perspective could help students understand the fundamentals of coding and digital technology, preparing them for a future where AI continues to reshape the landscape of work and learning.

Written by urgent.news from The Register's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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