Will AI be able to design itself?

The topic of AI's ability to design itself is a hot topic of discussion among experts. Some see it as inevitable in the near future, while others see it as far-fetched or even undesirable. This topic is an active area of research, and perspectives are constantly changing as new discoveries emerge. Specialists in human sciences believe that it is important to discuss the potential risks and benefits of AI openly and honestly to ensure its responsible development.

We try to review the different points of view to answer this important question.

The shocking answer

Yes, you will be shocked by the answer!

There is no definitive answer to the question of whether artificial intelligence will be able to design itself or not. It depends on future developments in the field of artificial intelligence, as well as on the values and principles that will guide the development of this technology. Not even the most powerful experts in the field have a definitive and frank answer.

Some scientists aspire to be yes to reach self-sufficiency by feeling euphoria about this scientific achievement, and to support many intellectual theories of the theory of formation, creation, and so on. These theories have many immoral and non-spiritual dimensions, fundamentally contrary to most religions, especially the heavenly ones.

At the same time, we see many scientists with a human and moral dimension trying as much as possible not to reach this result, because of the expected results and their impact on the human world and nature in general.

For example, a series of films like The Terminator – once a fertile fantasy – is now like a nightmare.

Insights and reasons for AI's ability to design itself

- Self-learning: Artificial intelligence has a tremendous ability to learn from data and experience. They can analyze vast amounts of information, detect patterns, and modify their behavior based on what they learn. As self-learning technologies continue to evolve, AI may be able to learn how to design new derived AI systems.

Evolution: AI systems show remarkable ability to continuously improve their capabilities. By making changes to their own codes. These systems can test different methods and determine which ones are most effective, and over time, this process may lead to the development of more complex and intelligent AI systems.

Competition: In a competitive environment, AI systems may be incentivized to design better versions of themselves. These systems can "compete" with each other by solving problems or completing tasks more efficiently. Over time, this competition may lead to the development of AI systems with advanced capabilities.

Creative: Some AI systems have proven their ability to create new content, such as writing scripts or composing music.

Insights and reasons for opponents of AI's ability to design itself

- Lack of understanding: AI systems still lack a deep understanding of the world and how it works.

Ethical limitations: The possibility of AI designing itself raises many ethical concerns, such as bias and discrimination.

Biased data: Systems rely on the data they are trained on. If this data is biased, it may reflect on the designs, which can lead to unfair or harmful results.

Control: Some fear that designing an AI for itself will lead to a loss of control over these systems. It is important to ensure that these systems remain under human control, and that they do not become autonomous or able to make decisions that affect humans without human intervention.

Goal and purpose: Systems currently lack the capacity to understand humanitarian values and goals. Without this capability, it may be difficult or impossible for AI to design AI systems that match human needs and values.

Dream, cost and lust for science

Among the dreamers of a better future or a selfish view of humanity through the idea, and the lust of scientists, we find an obstacle that not everyone mentions. It is in itself the biggest obstacle behind the desired development, so you will see many dream-minded writers favoring the idea and promoting that artificial intelligence will one day be independent, without taking into account the economic and social factor.

It's the cost and you don't know what the cost is!

We mean the material cost, not just the cost of AI's independence, or its impact on humans.

The costs of AI development for large companies vary greatly and depend on many factors, such as:

Project size and complexity: Large and complex projects that require a large amount of data and computational resources will be more expensive than small and simple projects. And don't look at free templates and apps, for example, a company like OpenAI incurs a high cost for an application like Chat GPT, estimated at thousands of dollars a day, and we are talking here about the free model! What about more complex systems?

Type of AI technology used: Some AI techniques, such as deep learning, require expensive computing resources and are therefore more expensive than other techniques. Despite the recent involvement of a company such as NVIDIA in these technologies, the cost is still astronomical for the dream, which oscillates between the dimension of attainment and the lust for fulfillment.

Required employee skills: Hiring highly skilled AI experts can be expensive, especially for companies competing to attract talent from the same field. This is one of the main reasons why AI and its derivatives learning has been promoted in recent times.

Infrastructure: Companies may need to invest in new infrastructure or improve existing infrastructure to support AI technologies. Imagine how many years it took the world to spread the idea of the mobile phone, and how much economic, cultural and social cost brought us to the situation now. Of course, we are talking about another dimension entirely, marred by risks more than just acquiring technology that facilitates life and communication!

Data: Collecting, preparing, and cleaning data for AI purposes can be an expensive and time-consuming process.