AI fraud--Someone was defrauded of 4.3 million in 10 minutes. Have you really been defeated by AI?

1. The owner of a technology company was defrauded of 4.3 million yuan in 10 minutes

On May 22, a typical case of using artificial intelligence (AI) to commit telecom fraud ( 4.3 million defrauded in 10 minutes ) became a hot search topic and attracted attention. Is there anyone who is wondering whether the person who was deceived is stupid? In fact, it is not the case. You can read the detailed process.

At noon on April 20, a friend of Mr. . Based on his trust in his friend and having already verified his identity via video chat, Mr.
Afterwards, Mr.
What we need to pay great attention to is that the scammer did not use a simulated friend WeChat to add Mr. X as a friend, but used technical means to steal the WeChat account of Mr. Even technology company CEOs can be defrauded by AI, but what about ordinary people? Will this be the beginning of AI defeating humans?
Screenshot source Douyin:

2. Now that AI is so widely used, what are the common AI technologies and cryptographic technology issues that need to be solved?

The first is voice synthesis: the password technology that uses voice as verification is abolished.
The second is AI face-changing: the facial recognition technology for mobile payment is abolished.

3. The rapid development of ChatGPT 4.0 has brought huge improvements to AI

Musk said: ChatGPT is so scary, we are not far from dangerously powerful AI.

You can see a few screenshots:
Use GPT to answer CSDN’s question of why more and more companies choose cloud computing?

Use GPT to answer big data storage framework technical questions.

By answering related questions through GPT, you can see that the answers are quite high-level, and some answers even exceed your knowledge level. Although GPT training for versions after 4.0 has been banned, there will always be GPTs that are still being trained secretly. Everyone understands the truth. If you want to seize the opportunity, you must keep moving forward and stay ahead, so GPT will only become more and more powerful, and when GPT is combined with AI, powerful AI is born.

4. Can AI defeat you?

As a junior majoring in big data, I was once confused, especially with the emergence of GPT4.0. At that time, articles and codes could be completed with GPT. I was wondering, is it necessary to study this major? Will I be replaced by AI in the future?
However, after repeated thinking and comparing the code written by myself with the code written with GPT, I found that the code written by GPT still has some flaws or imperfections, especially some difficult codes.

Human written:

def binary_search(nums, target):
    
    left, right = 0, len(nums) - 1
    while left <= right:
        mid = (left + right) // 2
        
        if nums[mid] == target:
            return mid
        elif nums[mid] < target:
            left = mid + 1
        else:
            right = mid - 1
    return -1
while True:
    nums_str = input("请输入一个升序的无重复数字数组（如：1,3,4,7,9,10）：")
try:
    nums = [int(n) for n in nums_str.split(',')]
    if nums != sorted(set(nums)):
        raise ValueError
    break
except ValueError:
    print("输入的数组不是升序的无重复数字数组，请重新输入！")
while True:
    target_str = input("请输入要查找的目标值：")
try:
    target = int(target_str)
    break
except ValueError:
    print("输入的目标值不是整数，请重新输入！")
result = binary_search(nums, target)
if result == -1:
    print("目标值不存在于数组中")
else:
    print("目标值在数组中的下标为：", result)

Effect execution:

Nowadays, AI is being trained and improved every day. No one doubts that AI is getting better at programming every day. In fact, AI-driven tools will ultimately be much better than programmers. But machines won’t become independent of humans that quickly, and a skilled developer won’t be replaced by AI for at least the next decade or two. Instead, AI will become the programmer’s assistant. Here are a few ways how AI can help programmers:

1. Code review: AI can help programmers discover potential errors, loopholes and irregular writing methods in the code through code analysis and comparison.

2. Automation: AI can help programmers automate some tedious and repetitive tasks, such as automatically generating code and documents, code formatting and refactoring, etc.

3. Learning and optimization: AI can optimize the development process and improve development efficiency by learning the software development process and developer behavior. By collecting and analyzing development data across different teams, AI can improve the quality and reliability of software development.

4. Human-computer interaction: AI can help programmers better interact with computers, such as natural language processing, speech recognition, image recognition and other technologies, making the development process more efficient and intelligent.

5. Intelligent auxiliary tools: AI can help programmers use various intelligent tools, such as code editors, integrated development environments, etc., and provide functions such as intelligent suggestions, automatic code completion, and code reconstruction, making development more efficient and code more standardized.

Eventually, people will move away from "programmer" jobs and just learn to "drive" their machine learning tools to support them more efficiently. From then on, computer programmers will become AI programmers , and AI developers will have more time to focus. On the “human side” of AI work.

5. Summary

From a computer programmer to an AI programmer , what defeats you is not AI, but the people who can use AI. Existence is reasonable. All we have to do is work hard to improve ourselves, understand AI, master AI, and make AI work for you and me.