Why AI Isn't Developed Further: Lado Okhotnikov, a Founder of Meta Force, About Language Models

If one day you wake up and hear that someone is cooking in the kitchen, and at the same time you live alone, then we can say that AI has acquired full-fledged intelligence and, finally, some of the daily tasks can be delegated to an artificial friend.

However, we are increasingly hearing about potential threats posed by artificial intelligence. Concerns about AI are mostly dark, ranging from taking over the world to threatening human life. But we may be overlooking its potential positive aspects.

“Artificial intelligence can become not an adversary, but an ally. In the fields of scientific research, medicine and solving global problems, AI is capable of processing huge amounts of data and offering effective solutions. However, it is too early to call artificial intelligence as such, since it is more like a neural network,” says Lado Okhotnikov, the founder of the Meta Force Metaverse, in which machine learning may be used.

Lado Okhotnikov leads the team to create the first Metaverse, a one-of-a-kind platform based on the principles of a completely new business model. His view of technology development not only changes the game, but also rewrites the rules of making money.

In his opinion, too little time has passed for the introduction of AI. He argues that it is too early to fully understand how artificial intelligence will act in different situations.

“We are in the early stages of creating the Metaverse, and the implementation of AI requires careful research. We want to make sure that artificial intelligence not only copes with the given tasks, but also is able to adapt to the diverse situations encountered in the digital world,” says Lado.

Tests

To test how smart the AI is, the robot was asked to make coffee in the kitchen. “It’s not difficult!” you might say. And you will be right if we talk about a person. But there is a problem: kitchens come in different shapes and sizes, and coffee can be ground, beans, or instant.

Because of this complexity, an AI that is not smart enough will get confused, not knowing how to properly prepare coffee in different situations. So this test is like a test of how capable artificial intelligence is of thinking independently and coping with different situations.

“Such a simple test showed that we need to make sure that our assistant is able not only to follow instructions, but also to make independent decisions in various situations. Every cup of coffee should be exceptional, just like the client’s taste,” comments Lado Okhotnikov, the founder of the Meta Force Metaverse.

It is still difficult to imagine what artificial intelligence will do in the Metaverses, other than writing some simple code. Initially, the idea is that here the user can escape from reality, but continue to communicate with people. What then is the interest in interacting with a robot if a person is more unpredictable in his or her behavior - it is interesting, exciting, and there are no cliche phrases or pre-prepared answers.

What people say. Lado Okhotnikov about the profession of the future

On June 5, at a conference on technology and innovation in Tel Aviv, leading experts in the field of artificial intelligence Sam Altman and Ilya Sutskever spoke about the possible risks associated with the use of this technology.

The issues raised by the conference participants concerned three key aspects: the impact of AI on the labor market, the threat of using AI to the detriment of humanity, and the risks of a possible loss of control over artificial intelligence systems.

When asked about the loss of control, Ilya noted, “It would be foolhardy to create an intelligence over which you cannot maintain control.” This concern is related to the possibility of the emergence of independent systems that go beyond the limits of human perception.

Sam Altman agreed with his colleague, emphasizing the importance of balancing the development of technology and ensuring human control over it.

When asked about changes in the labor market, Sutskever emphasized that some professions have already received AI support. He noted that new jobs will definitely appear, and a period of economic uncertainty is inevitable.

“Probably many professions will change their format. However, we have forgotten how telephone operators, rat catchers, lamplighters, raftsmen and lecturers disappeared (note: people who read newspapers aloud to workers at a cigarette factory so that they would not be bored). New industries will emerge that require the participation of people with slightly modified skills,” noted Lado Okhotnikov. He emphasized that an example of such evolution is the computer program Deep Blue from IBM, which defeated world chess champion Garry Kasparov in 1997.

“This made many people think that interest in chess would decline after the program became the best in this game. However, the opposite happened - chess became even more popular, and people’s level of play increased,” Lado added.

What is the difficulty of creating advanced AI?

The development of artificial intelligence is a complex task with many pitfalls.

The main problem is that creating superintelligent AI could lead to mass unemployment. Robots and computer programs will replace unskilled labor. This will primarily affect people who are engaged in simple work. And where unemployment grows, social problems also grow.

In addition, scientists still do not know exactly how the human mind develops. After all, over millions of years of evolution, not a single monkey has ever turned into a human. That is why it is impossible to set a development algorithm for AI, because previous theories turned out to be partly erroneous.

Lado Okhotnikov is confident that before improving artificial intelligence, scientists must better understand which path it will take. Otherwise, AI may do more harm than good. Too much is still unclear in this area.

In conclusion

Perhaps one of the notable achievements so far is the work of researchers from DeepMind, who presented the AlphaFold 2 AI model - an innovative solution that challenges the decades-old problem of protein folding.

The new model is based on evoformer blocks - a unique architecture that combines transformers and evolutionary strategies. This allowed AlphaFold 2 to analyze one-dimensional amino acid sequences and predict the three-dimensional structure of compounds. This in turn will lead to the development of new drugs and treatments for common diseases.

 As for the rest, the year of 2023 can safely be called the year of “chatbots,” when four global IT giants presented their language models, ushering in a new era in the field of artificial intelligence. At the forefront of this innovation movement is the powerful Chat-GPT 4 language model, which has quickly taken the lead with its intelligence.

However, if someone other than Meta Force decides to introduce AI into their Metaworld, then the platform will face the still insurmountable factor of increasing energy costs.

In 2021, training the GPT-3 language model required 1.287 gigawatt-hours of electricity. This figure turned out to be significantly higher than that of previous versions, which can be explained by an increase in the number of program parameters to 175 billion. Compared to its predecessor, which had only 1.5 billion functions, the new model turned out to be an order of magnitude more energy-intensive.

There is another problem - the number of people who play video games exceeds 2.7 billion, which is more than a third of the world's population. The study shows that computer games alone consume about 75 gigawatt-hours of electricity annually, which is equivalent to the energy generated by 25 average power plants.

If we add up these indicators, we will reach a total indicator that is several times higher than the current amount of energy consumption, because the Metaverse processed by artificial intelligence will consume several times more.

Therefore, for now there is little point in speculating when the integration of language models into the platform will occur. “However, like many others, we expect that in 2024 there will be some innovation in this area. Let’s keep our finger on the pulse,” concluded Lado Okhotnikov.

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