Would we see more of a Strong AI in 2023?

Oluwafemi Smith
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Feb 09, 2023

The bouts of technological advancement are simply phenomenal. One minute you are still soaking in the new reality of innovation, and the next minute you see the headline news on how another leap has recently taken center stage in an industry.

Barely halfway through the new year, we can count on one or two remarkable advances in artificial intelligence [AI], among others. With respect to the two types of AI, strong and weak AI, it was said most of last year that we were yet to see anything monumental in the advancement of strong AI. Well, it's January 2023; could this answer remain valid until now?

In today’s post, I will give a better understanding of what "strong AI" means, what it could do, and if there is anything to look out for in the year 2023 as another innovation. More importantly, this post will give you new knowledge and also stir your thoughts on the wheels of AI.

What is strong AI?

Strong AI, also known as Artificial General Intelligence (AGI), refers to a type of artificial intelligence that can understand or learn any intellectual task that a human being can.

It is a theoretical form of AI that would be able to perform any intellectual task that a human can and possess general intelligence like or surpass a human. This contrasts with weak AI, which is designed to perform a specific task and cannot understand or learn other tasks.

How can strong AI be beneficial to us?

Strong AI has the potential to bring many benefits to society. Here are a few examples:

Problem-solving: Strong AI can be used to solve complex problems that are difficult for humans to understand or solve. This could include tackling global issues such as climate change, disease, and poverty.
Efficiency: Strong AI can be used to automate repetitive and mundane tasks, allowing humans to focus on more creative and meaningful work.
Innovation: Strong AI can be used to generate new ideas and make breakthroughs in fields such as science, medicine, and engineering.
Personalization: Strong AI can be used to create personalized experiences for individuals, such as in education, healthcare, and entertainment.
Assistive technology: Strong AI can be used to create intelligent systems that can assist or augment human capabilities, such as in transportation, manufacturing, and logistics.

However, it is important to note that the development of strong AI also raises ethical concerns, such as the potential for unintended consequences, job displacement, and the possibility of malicious use.

Would we see more of Strong AI in 2023?

While significant progress has been made in the field of AI, there are still many technical and theoretical challenges to overcome before achieving AGI. It may be difficult to predict exactly when a strong AI will be developed and how it will be used in 2023.

In 2023, we will likely continue to see advancements in various AI-related fields, including machine learning, computer vision, and natural language processing. These advancements may bring us closer to achieving AGI, but it is still not clear if true AGI will be developed by 2023. It also depends on the number of resources and funding that are dedicated to the research.

However, we are likely to see an increased use of AI in various industries and applications in 2023, such as self-driving cars, healthcare, manufacturing, and financial services.

These systems, while not having artificial general intelligence (AGI), will have an increasing ability to mimic human-like intelligence and decision-making abilities.

Conclusion.

Strong AI refers to a type of artificial intelligence that can understand or learn any intellectual task that a human being can and possesses general intelligence similar to or surpassing that of a human.

It is a theoretical form of AI that would perform any intellectual task that a human can. It is different from weak AI, which is designed to perform a specific task and cannot understand or learn other tasks.

Strong AI has the potential to bring many benefits to society, such as solving complex problems, increasing efficiency, generating new ideas, creating personalized experiences, and creating assistive technology. However, its development raises ethical concerns.