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Google Commits Over $1 Billion to AI Development, Rivaling Microsoft and OpenAI’s Efforts

Have you ever thought about how similar AI and humans are? It's a topic that often comes up when discussing new technologies, especially robots and AI. Some people worry that AI might one day be better than humans at many things. But let's dive into why these tech pieces might be more like us than we realize.

Most of us know robots and AI systems are good at following commands and doing tasks. They use data to learn and get better over time. Just like a robot learning to walk by changing its steps based on weight, humans adjust too when carrying something heavy. This shows how machines can adapt just like people do.

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Microsoft's researcher Chris Bishop made a funny but true point. He said when AI systems give out info based on prompts, they are like "stochastic parrots." That means they kind of repeat what they've learned without fully understanding it. This might sound familiar because it's much like how students study for exams. They read books and listen to lectures and try to remember as much as they can for the test.

Now, think about it: When humans make a mistake or forget something, it's seen as normal. But when AI makes a mistake or 'hallucinates' — meaning it delivers wrong or made-up information — people are quick to point it out. Yet, both humans and AI are taking in info, processing it, and sometimes getting it wrong. So, in many ways, our brains work a lot like AI.

This doesn't mean AI will soon be just like us. There are still big differences. For example, AI doesn't feel emotions or understand personal experiences. But the way AI and humans learn and process info has some striking similarities.

Exploring how AI and humans are alike helps us understand our own learning processes and how we handle info. It also shows us that the fear of AI might be a bit more about our own worries. After all, if we share so much in common with these systems, maybe the real question is what truly makes us unique. This idea might help us figure out better ways to live and work with AI as it becomes a bigger part of our world.

So, next time you hear about AI making a mistake or learning something new, remember it's not too different from what we do every day. Maybe we can learn something from how AI processes info and use that knowledge to improve how we learn and think.

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