AI turns scientific work more accurate. It is transforming our lives fundamentally, and that has both good and bad effects. The AI is a tool that can handle and observe trillions of variables simultaneously. This is the thing that any human can do. The morphing neural network can connect data from millions, or even trillions of computers or data points. And it makes R&D work more effective. It raises accuracy to a new level. But there is one shadow in that advancement.
When we think of the point of industrial coding. The AI deletes junior-grade jobs from companies. That means the basic coding will be made by using AI. In business life, effectiveness is the rule. The AI can generate. Thousands of code lines. In minutes. This means that the AI removes the basic-level coders from the companies.
The focus in companies is on effectiveness. Their focus is not to give training. For new basic-level coders. And that means. The companies think. That AI is a tool. That removes beginners from the companies. The beginner is always a problematic person. There is always a possibility that they steal code. And this is the reason why.
The first-timers find it hard. To get jobs from the ICT sector. The AI makes coding easier. And. Its. More effective tool. Than humans. The main thing is that. AI doesn’t make simple mistakes. It puts. Dots and brackets in the right places. So, the simple mistakes the AI can fix.
But that means we are turning. More and more dependent. Of AI. When all code bases are made. By using the AI. That means there are no junior-grade places. The junior-grade coding jobs were important. To train experienced coders for the company. Experts are not born without the ability to get training. And if there is no junior-level work, the person cannot advance to senior- or expert level.
The AI agent. That makes custom programs for people. Are. Cheaper than humans. The major problem is that the lack of training places means that we need to use more AI. And that causes a spiral effect. When AI agents turn more and more advanced, they can make more and more complex missions. That removes the need. To use human coders. At higher levels.
The AI agent is a complex tool. That means the hackers will start to use AI agents in their operations. The hacker who. Works for the government. Can have access to complex language models. They have access to use AI as a hacking tool. But it's possible that high-skill hackers can cheat to make their own. Evil AI to them. There are three ways to make that thing.
They can steal the source code of the large language model (LLM). Or. They can use many AI services. To create the code. that they need. And then they must just connect those codes together. Or they can buy that code from China. Or North-Korea. Or somebody. Like, cocaine cartels can buy that code. To hackers, who work for them. This is one way to think about the AI. The AI is a hacking tool that requires new and more effective counteractions. The robotics connect AI to physical systems. And that means the AI must have new, re-estimated security standards.
https://scitechdaily.com/this-new-ai-is-cracking-the-hidden-laws-of-nature/
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