If you come to my house for dinner three years ago and come back today, you will find that I have made progress in cooking. At this point, I said, yes, by using AI analysis, I had improved my cooking experience. What do you think?
A growing number of tech companies say they have reduced risks, identified problems and provided solutions through the use of ARTIFICIAL intelligence. I think, these are not credible. Artificial intelligence, like big data two years ago, is another stage of technological progress. However, the naming of this stage obviously caters to the needs of media communication, and there is still a long way to go before real artificial intelligence.
Banks, for example, have more big data than any PEER-to-peer peer, and are as professional as any other (don’t get me started on social data, which is probably no better than your neighbors’ judgment of you). All the same, claims that AI can make a start-up less risky or more efficient are more likely gimmicks.
Because artificial intelligence is still in its infancy, we start from different places. But the road is basically very early. A simple example: Google focuses on logical computing in ARTIFICIAL intelligence, Microsoft on semantic understanding, and Apple on data collection… This shows that the industry is just getting started. If even the giants start from such a starting point, then what everyone calls AI is really just an analytical reproduction of big data, in the name of AI.
Therefore, don’t be frightened by AI. Tesla’s Elon Musk and others warn against AI because they are worried that ai will quickly acquire personal will once it has the ability to learn on its own. But we are at least decades away from that era. And the current ai, in fact, is very primitive. Google’s Alpha Go may play chess, but the logic is still based on human conditioning and judgment, albeit at the expense of machine speed.
Artificial intelligence has yet to make an amazing difference. Google has announced that it will use ARTIFICIAL intelligence to tune the app store, but I don’t think the actual results will be any more satisfying than the songs from media Cloud music.
Today’s AI is a hybrid of big data and machine learning, and the result of that hybrid is to use machine learning to digest data and produce some simple results.
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.
Ai now presents many results, except for go, there is no feasible result to prove that AI results will surpass human intervention. Many successful cases of AI may be as unrepresentative as a person who got into college thanks to a fortune teller.
Only continuous success that can be optimized can prove that a theory is indeed feasible. At present, there is no practical solution to prove that AI can solve more advanced problems. At present, the actual effects of AI are basically unreliable, and until effective analysis and verification, AI is little more than a toy.
So what exactly does artificial intelligence do? In my opinion, artificial intelligence at this stage is more like a display tool that can provide analysis results for big data. In the past, big data and machine learning were independent disciplines, but now they are beginning to merge and present the results in big data through machine learning, but in essence, they still reflect human will.
So, in my opinion, current AI can only do the following:
1. Ai can spot risks.
Through changes in ARTIFICIAL intelligence, we can find and measure uncertain risks that have always existed in the past. By reducing the probability of these risks, some value can be created.
2. Artificial intelligence can guide operations.
Ai can find some operational problems: where data is coming from and where it works better. Through data changes, we can find problems in advance and make preparations.
3. Artificial intelligence can observe trends.
By monitoring user usage direction and traffic, we can iterate faster.
4. Ai may detect changes in trends.
If we keep our eyes on the data, AI can detect changes in trends. But because of the limitations of these observations and the AI’s input and output, AI’s detection of the future is basically no more accurate than fortune-telling — you know some of it is right, but you don’t know which part.
5. Artificial intelligence has entertainment functions.
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.
Right now, artificial intelligence is still more in the entertainment stage. Like Siri, like chatbots. Non-decision-making jobs such as chat and entertainment are better suited to today’s AI by analyzing online data conversations.
With current technology and analytical frameworks, ai can only do so much. Ai can do no more valuable thinking than Jobs and his team did, nor can it be a wizard of the future.
That’s not to say ai won’t be important in the future. Rather, don’t believe the artificial intelligence that many companies are boasting about.
No ARTIFICIAL intelligence, no success guide, is a substitute for basic thinking, for our own experience, for trial and error.
Tools are just tools. Don’t believe in them.