Researchers downloaded fruit fly brains to a computer. And made models of them. That means. They had a mathematical model. Or a data matrix. They connected that model to the virtual fruit fly. The thing. What makes this type of simulation interesting is this.
The number of connections. And. How the fruit fly uses its neural connections determines its skills. Every neuron in the fruit fly's brain has one skill. Neural connections connect those skills. Skills are like puzzles.
Every neuron has a piece of the puzzle. And then the neural network connects those pieces again and again in multiple ways. This is how the morphing neural network operates. In a morphing neural network, each server and computer is a neuron. This is how the system routes and combines information. And that makes the system effective. Each of those computers involves a database structure. And the system connects those databases.
The next generation of morphing neural networks can mimic real brains. There is a possibility. That in the distant future. The AI can mimic human brains. The neural network would be set to look like a brain. And here we must ask: can the AI be conscious? The fact is. The ability to perform tasks doesn’t require consciousness. The first chess program that beat a human chess grandmaster. In chess. Didn’t even know that it moved chess buttons.
The system used case-oriented AI. Another name for that thing is rule-based AI. When the grandmaster moved a button. The AI answered that move. And that is the big thing. The AI must not know what it does. It must just follow the orders. So even those first-generation AIs didn’t have to know what they do. If. They refused to shut the system down. Or otherwise refused to follow orders.
There was a rule: if the ID card shows red. The person has no permission to do some actions. The system should not shut itself down. This kind of rule-based system is seen even today.
In operating systems. Regular users have fewer privileges than the system’s owners. Those privileges are connected to the accounts. Even the best coders in the world. They cannot install programs if they have basic user accounts.
The thing. What makes fruit flies so interesting is that they can connect neurons within themselves. This means. The neuron. It can loop information into itself. The server in the neural network can make this loopback connection. This means that the system can develop its own databases.
The computer can operate a single database. But it can switch between those databases very fast. And that is the problem with artificial intelligence. Those systems are not designed to run AI agents. AI agent performs multiple tasks. It should be separated from the AI’s LLM core. The problem with AI agents is that. They can teach or train other AI agents. Another thing is that an AI agent can also train itself. AI agent can get a mission.
That users give. Users don't need to know anything about coding. They only need to give precise and well-articulated orders. Then the AI agent will get the needed information from the network. That is the reason. This is why an AI agent is such an interesting and good tool. And It’s easy to scam with this kind of tool. People think they must not know anything about coding. When. They start to use AI for coding. There are certain prohibited orders. But if the user can somehow circumvent those orders. That allows them to use AI agents for spying. And that is the problem. Companies in the East don’t follow the same rules as companies in the West.
The biggest threat is in the cases. We expect everybody to play by the same rules. Rules might be the same. But everybody doesn’t follow them.
Even if AI spies are meant for governmental purposes.
It’s always possible. That. Corrupt officials give those kinds of tools to hackers. Those hackers can work for local mafia like Triads or Yakuza. And that can cause global risks. If. We think about the situation. That OpenAI faced. When its agents attack government homepages.
It’s possible. There can be some hostile agents in those corporations’ services. Those agents might want to steal that code. And when we read news that OpenAI stops training its most powerful AIs. At the same time, we can ask. Do they stop just the AI training? Or do they also stop development of the LLM, the AI’s core? Are those AI cores really protected against AI agents that are used for hacking?
AI agent. Can perform automatic attacks around the clock. It can change the IP addresses that it uses. And that makes this kind of attack very hard for defenders. The problem is that. AI agents. They are not separated. From. The AI core. The thing that we see as an AI agent is the thing that runs on servers. And those servers are data centers. The internet makes AI mobile. The code runs on servers. And the user sees the answers that the AI gives.
https://futurism.com/science-energy/research-fly-brain-matrix
https://www.profolus.com/topics/scientists-copied-fruit-fly-brain-put-inside-computer/
https://www.techspot.com/news/114003-openai-pauses-training-most-powerful-ai-models-after.html
