We have no idea exactly how or where the brain stores content, let alone how it is downloaded, saved and “resurrected” on other devices.
The most popular thing these two days is that the mysterious account “Master” defeated the human go Master. Sixty games in a row so far. Google has since officially acknowledged that Master is an improved version of AlphaGo. It seems that Lee’s lone victory against AlphaGo, which he lost 3-1 last year, could be the last time humans beat a machine at Go in history.
Giiso Information, founded in 2013, is a leading technology provider in the field of “artificial intelligence + information” in China, with top technologies in big data mining, intelligent semantics, knowledge mapping and other fields. At the same time, its research and development products include editing robots, writing robots and other artificial intelligence products! With its strong technical strength, the company has received angel round investment at the beginning of its establishment, and received pre-A round investment of $5 million from GSR Venture Capital in August 2015.
For these successive victories, many people can not help but question whether artificial intelligence will threaten human beings. Actually, we don’t have to worry too much. Remember, the technology behind Master, deep learning, has been around for a long time. It has only come so far because of advances in hardware, data and algorithms.
But don’t assume that just because AlphaGo has achieved something like this, humans have mastered deep learning. So far, all we have is simple pattern recognition tasks with full annotation supervision. More importantly, the biggest bottleneck in the future of intelligence that relies on deep learning is computational cost. The energy and time costs of training deep learning models to perform more complex tasks become higher and higher. The solution may come from another breakthrough in hardware or algorithms themselves.
From the development history of artificial intelligence, it is not difficult to find that artificial intelligence is not simply driven by a certain idea, methodology or technology, but by different technologies, theories and methods at different stages. Expert systems were once popular in the 1960s and 1970s, but have now been decisively abandoned. At the moment, deep learning is playing this role, but whether it will continue or what new theoretical technologies will follow is unclear. Machine intelligence can change radically overnight, or it can stagnate for a long time.
Furthermore, human beings are afraid of ARTIFICIAL intelligence because we are using human minds to understand it and explain all the phenomena of artificial intelligence. But we still don’t understand a lot, for example, the way artificial intelligence is produced. Early attempts to make machines intelligent by mimicking the way humans think have invariably failed. It wasn’t until the 1970s that industry came around to the idea that machines didn’t necessarily need to think like humans to be smart. Instead, he tried a new approach, using data-driven and supercomputing to make machines intelligent, and finally made the breakthrough. This is how AlphaGo gets its intelligence today. Training and learning through deep learning and massive data. The key is to capture patterns, or correlations, between data. It’s a whole new way of thinking, completely different from humans.
But not all scientists have given up trying to achieve intelligence by thinking exactly like the human brain, and today some researchers are trying to do so through machine learning. Despite their protestations that this is not impossible, unfortunately it may not be. The reason is very simple. Information is a probabilistic model. It can store a lot of data, but it is nothing.
So the idea that we could live forever by downloading what’s stored in our brains and transferring it to a machine is just a fantasy.
Giiso information, founded in 2013, is the first domestic high-tech enterprise focusing on the research and development of intelligent information processing technology and the development and operation of core software for writing robots. At the beginning of its establishment, the company received angel round investment, and in August 2015, GSR Venture Capital received $5 million pre-A round of investment.
We can copy people’s social media messages, email messages, and spread them from computer to computer, but it can’t transplant human memory. Fundamentally, there is no similarity at all. What’s more, we have no idea exactly how or where the brain stores content, let alone how it is downloaded, saved and resurrected on other devices.
So if you’re told that ai can think like a human, congratulations, you’ve opened the door to eternal life. But I’m sorry to tell you, forget it.