ChatGPT: Yes or No?
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People talk a lot about the opportunities that AI technologies give us today. Focus, in particular, on the trend of ChatGPT, which does a great job of making snippets and code that can go in both good and bad directions.
What kind of impact can developers expect from these tools?
I have no doubt that these tools should not have any negative impact on developers work in a not friendly place. Because these tools use existing examples which is done by humans and are based on algorithms, such as neural networks, they can point you in the right direction. It would be best if you also were careful when using these tools because they can lead you in the wrong direction, where you don’t really understand the steps that need to be taken to make the final product.
Even though technological improvements for studying the human brain have opened the door for many AI researchers, there is still a long way to go before it can be used in real life.
Let’s say we all remember an ambitious project that already has some level of artificial intelligence. For example, IBM’s Deep Blue computer beat Garry Kasparov at chess in 1997.
But AI is still very different from human intelligence in many ways. For example, a person can easily recognize a chair even if it’s the first time they’ve seen it. Still, a computer is likelier to see a mathematical model based on angles and lines, not a chair.
AI is usually made with strict rules in mind, which is one of the key parts of the problem. But brilliant human brains don’t work this way. Instead, they are made up of a network of neurons that change as people learn new things.
AI need values, emotions, and self-awareness to mimic human intelligence
In the last section, it was said that AI technology is less advanced than human intelligence in some ways. In fact, for AI to be genuinely human-like, it will have to copy many of what makes people human, of course in positive sense.
First, we should be able to behave appropriately in an extensive range of situations we encounter daily. This requires a value system as everything in life is ranked by importance, such as ethical guidelines. This is, in fact, what we humans do too. But while it may take us a lifetime to perfect our ethics system, an AI would probably have to thoroughly check its own system before leaving the factory for safety reasons.
Finally
Most of the brain is still a frontier that we don’t know much about. Neuroscientists have yet to fully understand how information is processed by the brain of a worm with several hundred neurons, let alone by the brain of a human with 80 billion to 100 billion neurons. I think most engineers and professionals in other fields should improve their analytical abilities using AI tools which are available today and save there time as much as possible.
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