5 Smartest AI in the World

Artificial Intelligence has improved significantly in the last few years, becoming a major technological component in several different areas. Giants like Amazon, Google, and IBM have invested in their learning machines, aiming to create the smartest AI that would be able to offer solutions and answer questions in the most intelligent and appropriate way. Which are the smartest AI machines right now?

Some of the smartest AI programs in the world include GPT-4 and DALL-E. Both these programs are developed by OpenAI and they can generate specific and accurate information using minimal input. Other smart AI released recently include Spell11, Minerva, and Alphafold 2.

If you want to know more, stick around! I will list the top smartest AI machines in the world right now and include more information about each of them. I will also answer any additional questions you may have about these particular AI machines or AI in general.

Why Is AI Considered Smart?

All the AI models mentioned above and many others that exist nowadays are considered smart and intelligent because they are able to perform tasks like calculation, analysis, and predictions, which typically require human intelligence. They analyze vast amounts of data to perform their tasks as accurately as possible.

What’s more, AI can course-correct and adjust to improve its performance over time. Using the amount of information at their disposal, AI programs can adapt to new queries and circumstances, which makes them suitable even for unpredictable situations where humans would normally be needed.

What Makes an AI Smart?

While it’s safe to say that Artificial Intelligence programs are indeed intelligent, one may have a hard time ranking certain models based on their intelligence level, because there is no way of properly evaluating the intelligence level of every model.

Some models are considered intelligent because they can perform several types of tasks in a satisfactory way. Others are intelligent because they are incredibly accurate in their limited scope. Generally, the smartest AI models are the ones that can provide accurate results and at the same time respond and adapt to unpredictable circumstances.

The Smartest AI Programs in the World

As AI is making gigantic leaps every year, more and more companies are starting to invest in better and smarter AI systems that can solve all kinds of issues more quickly and effectively. While giants like Google’s AlphaGo and IBM’s Watson are still considered among the smartest and most effective AIs, there are more recent developments that have the opportunity to become the next giants.

1. GPT-4

Generative Pre-trained Transformer 4, or GPT-4 is the latest development in the GPT series by OpenAI. It was released in March 2023 and reviewers say that it’s greatly improved on issues that its predecessors, GPT-3, and the test run GPT-3.5. So far, there is little technical information available about this AI model, but the results seem quite impressive.

While GPT-3 is still one of the smartest AIs in the world right now, the GPT-4 is likely to surpass it intelligence-wise, since it includes several extra capabilities that can solve a multitude of issues and questions. While GPT-4 is similar to its predecessors in a few ways, it contains features that make it more intelligent, reliable, and creative.

For instance, GPT-4 can accept images as well as text as input. Moreover, it can capture context much more accurately and describe more subtle concepts like a particular type of humor. GPT-4 is also able to respond in a particular tone or using certain expressions or language.

Reviewers note that this AI can generate much more intelligent responses and reactions in general, compared to earlier GPT models as well as other similar systems by rival companies.

GPT-4 has been tested in several different ways to measure the level of intelligence. This AI managed to score very satisfying results in most standardized tests, showing a great improvement from its immediate predecessor, GPT-3.5. Moreover, GPT-4 was tested regarding medical questions and it passed several tests successfully, giving satisfying answers regarding several topics, from personalized medicine to remote care.

2. DALL-E

DALL-E is another very successful OpenAI project, first released in 2021. This particular AI has a single focus: generating images based on descriptions provided by the user in natural language. This AI had a brief period of popularity in social media as people used it to generate all kinds of images, but it has the potential to be used in several other ways.

DALL-E was initially released in 2021 and a second version, DALL-E 2, was released one year later, featuring drastic improvements. This model is now an API, which means that it can be used by independent developers for their specific purposes. For instance, designing programs can use this AI model to help create realistic images.

The best thing about this particular AI model is that it can create realistic images even when using vague or generic input from users. DALL-E can fill in the blanks to create several versions of any image that the user desires.

Of course, the nature of DALL-E has caused justified ethical concerns when it comes to generating deep fakes, meaning realistic images that are created to misinform people. Additionally, many people have posed the question of ownership over images generated by this AI.

Moreover, there are further concerns regarding sexual and violent images and inherent biases that come from the AI itself. However, generally speaking, this particular model has the potential to be one of the smartest and most useful AIs out there.

3. Minerva

In 2022, Google created a deep-learning language model called Minerva, which can solve mathematical problems. This AI program is able to provide a step-by-step solution to any type of quantitative problem that the user inputs. This program is trained to use several different learning techniques to generate several solutions with different probabilities.

Minerva can solve issues that were considered unsolvable by AI until recently. The problem with mathematical quantitative problems is that they require multiple steps of calculations and reasoning, using mathematical as well as natural language. This is a significant challenge for most AI models.

Minerva is also able to follow chain-of-thought prompting, where the program receives several solutions to existing questions and then is prompted to answer a new one. This AI has been tested on several levels of mathematics problems and it has performed quite well.

However, there are still some limitations to this program. Minerva still makes mistakes, either in calculating or reasoning. Sometimes, this AI may produce the correct answer, but with the wrong reasoning and steps behind it.

4. Alphafold 2

Alphafold is another AI program developed by Alphabet. It aims to use deep learning to predict three-dimensional models of protein structures, providing accurate predictions that can revolutionize several areas of medical and biological research. While this version was quite precise, the second version, Alphafold 2, is believed to be even more accurate and comprehensive.

Alphafold 2 is designed keeping in mind certain shortcomings of the first version, like an inherent tendency to predict more models with secondary structures than there were in reality. This second model includes more complex models and is significantly more accurate than the original version, but there is still room for improvement, according to the developers.

The importance of a model like Alphafold cannot be overstated. This AI program can predict the structure of millions of undiscovered protein structures, creating the opportunity for researchers to gain precious knowledge. Thanks to this program, researchers can tackle vaccines for many diseases, as well as discover correlations between certain structures and health conditions.

5. Speller100

Unlike AIs like GPT-4, Speller100 has a much more narrow scope, which some people may consider limiting, but it is very effective and intelligent at its tasks. The goal of Speller100 is to correct the spelling errors made when submitting queries.

According to Microsoft, the developer of Speller100, approximately 15% of online queries have spelling errors on them, which in turn may lead to completely different and inaccurate results. Speller100 is a multi-language AI spelling model that recognizes and corrects spelling errors, improving search results significantly.

This AI has been trained to learn several different language models and recognize spelling using different language families. Microsoft maintains that this AI is incredibly accurate and comprehensive and it’s considered to be the most effective language-focused AI.