Column: These Apple researchers just showed that AI bots can't think, and possibly never will — Apple’s AI researchers gave these AI systems a simple arithmetic problem that schoolkids can solve. The bots flunked.
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Column: These Apple researchers just showed that AI bots can't think, and possibly never will — Apple’s AI researchers gave these AI systems a simple arithmetic problem that schoolkids can solve. The bots flunked.
Another big issue is that humans—and symbolic models like sets of rules and decision trees—can explain their reasoning, while neural networks are big piles of numbers that no one can understand.
Pedro Domingos • The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
Core to the mistaken belief that the United States holds a major edge in AI is the impression that we are living in an age of discovery, a time in which elite AI researchers are constantly breaking down old paradigms and finally cracking longstanding mysteries. This impression has been fed by a constant…
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Kai-Fu Lee • AI Superpowers: China, Silicon Valley, and the New World Order
Over the past 2 and half years we’ve seen the rise of the LLM’s but one of the great contributers to LLM’s Yann LeCun believes that LLM’s are actually old news and that we’re now just making them marginally better and he’s much more focused on other things.
Firstly he thinks these models need to understand the physical world. Right now, LLMs are gr
In the past there were plenty of tasks—including writing essays—that we’ve assumed were somehow “fundamentally too hard” for computers. And now that we see them done by the likes of ChatGPT we tend to suddenly think that computers must have become vastly more powerful—in particular surpassing things they were already basically able to do (like prog
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