AI Blockchain Talk to Ihor Kubalskyi, Founder of AI Firm QBEIN
The development of the blockchain ecosystem in recent years has been exciting, as has the increasing integration of the new industry with other technologies, especially AI. Should it be observed more sharply, both blockchain and AI are closely related with each enhancing the overall functionality of the other.
Despite this, there is great uncertainty about what the future holds. Coinspeaker had the privilege of speaking with QBEIN founder, Ihor Kubalskyi, one of the top innovators working at the intersection of both industries. Here is the excerpt of the interview for your viewing pleasure.
Q: Hi Ihor! Nice to see you today.
Hi there! Thank you for this opportunity.
Q: Tell the audience more about yourself.
I am a blockchain engineer, crypto enthusiast and founder of Qbein. We help companies integrate Web3 elements, develop blockchain solutions for their needs, and get the most out of AI solutions.
Q: We are seeing a lot of hype around AI now. It seems that everyone is trying to use ChatGPT and other products for their business or just for fun. Is it suitable for the industry, or will we experience the same path as with NFT a few years ago?
We can’t deny one thing – everyone knows what AI is now. Yes, most people don’t know how to use it properly, but we can see a huge interest. It will lead to investment in the AI industry, which cannot be wrong. Of course, perhaps in a few months, many will forget about AI, but those who manage to find the actual value of the technology will remain and continue to push the industry forward.
Q: So, besides AI, your company is involved in another “high industry” – blockchain development. Is ‘AI fever’ affecting the blockchain and crypto industries?
Of course it has some influence. Blockchain developers use AI quite often, tbh. It helps process significant amounts of data, find possible security breaches, and improve smart contracts in general.
I believe that AI and blockchain will continue to intersect more and more in the future. On the one hand, AI can help make blockchain systems more efficient and secure. On the other hand, blockchain can provide a valuable infrastructure for managing and verifying data that AI relies on. For example, we are already seeing AI being used to optimize blockchain transactions and blockchain being used to collect data for AI training sets.
Q: Yes, there are some prominent use cases. Let’s get to the point that everyone is afraid of – that AI will replace us. Do you think AI can replace certain aspects of blockchain technology?
AI may replace certain aspects of blockchain technology, such as consensus algorithms or smart contract execution, but it is important to consider the trade-offs involved.
Consensus algorithms are an important component of blockchain technology. While AI can be used to optimize consensus algorithms and make them more efficient, it is unlikely to completely replace them. It’s actually very simple – consensus algorithms were designed to be trustless and decentralized, while AI algorithms require a centralized source of authority or trust.
Smart contract execution is another area to use AI instruments, but again, there are trade-offs to consider. Smart contracts are designed to be self-executing, meaning they run automatically without human intervention.
So we can use AI to optimize certain aspects of blockchain technology, but the main elements must remain untouchable, because then it simply won’t make any sense.
Q: And what about developers? Should they be afraid of AI replacing them?
As I said before, AI is impacting the blockchain development industry. However, it is unlikely that AI will completely replace the need for human blockchain developers.
Instead, AI could change the nature of blockchain developers’ work. For example, AI can automate some of the more routine tasks involved in blockchain development, freeing up developers to focus on more complex and creative work. In addition, blockchain developers may need to develop new skills to work effectively with AI, such as understanding how to integrate AI algorithms into blockchain-based systems.
Overall, it is difficult to predict the exact impact AI will have on the blockchain developer job market. However, AI is likely to be a significant force in shaping the future of the blockchain industry, and blockchain developers who can adapt and learn new skills to work with AI are likely to be in high demand.
So instead of being afraid, I would suggest learning new skills and becoming irreplaceable.
Q: I often see people not knowing how to use AI properly, but still trying to do it. Do you consider it the biggest problem in the current stage of industrial development?
Yes, I see it as a big problem. But unfortunately not the only one. One of the significant challenges with AI is the lack of transparency and interpretability in the decision-making processes. This can lead to AI systems making biased or erroneous decisions without clearly explaining why those decisions were made. Additionally, the data used to train AI systems can also be subjective.
Another challenge is to create AI systems that can generalize well to new situations. AI systems can perform very well on tasks they were trained on, but struggle when presented with slightly different scenarios. This problem limits AI’s ability to adapt to new situations and can make it challenging to use AI in real-world settings.
So while misuse of AI is a problem, it is only one of several challenges facing AI.
Q: We still see a lot of publications about the threats posed by artificial intelligence. Is this an exaggeration, or is it a real threat?
When we discuss artificial intelligence, we usually talk about public projects, such as ChatGPT or Midjourney. Centralization helps these public products block malicious actions and the use of AI to cause harm. However, many private systems are not used entirely for the benefit of humanity. These privately owned platforms can have a major impact on people’s choices, their consumption of information and ultimately the financial markets.
But so far, AI’s level of development does not threaten humanity’s life, and even the most malicious platforms are still very far from Skynet.
Well, and one more important fact – in parallel with harmful artificial intelligence, methods and tools are constantly being developed to counteract it.
Question: That’s good, thanks. Most of us discovered AI weeks, maybe months ago. As someone deeply involved, can you tell us how the AI industry has changed in the last five years?
That’s a great question, actually. Over the past five years, AI has undergone significant changes and made enormous strides. The biggest one I see is adoption. AI has become much more accessible and user-friendly. In addition, the growth of open source AI tools and platforms has made it easier for developers to create AI-powered applications without extensive knowledge of machine learning algorithms.
As a result – more applications, more awareness and more adoption.
Also, deep learning techniques have made AI models more accurate and efficient. As a result, we may see AI being used to complete more and more complex tasks. Furthermore, AI has also become more capable of learning from and adapting to new data in real time, which has led to the development of more intelligent and autonomous systems.
The AI industry changed dramatically, and I’m happy to see that it’s constantly evolving.
Q: You are the founder of a blockchain development company. How often do your customers request AI modules? Do they understand technology or are they just trying to catch a trend?
The last few months – more often than ever (laughs). Our partners are well informed about our expertise in this industry. As interest in AI began to grow, we saw a massive influx of requests for AI integration or AI solution development. Yes, I must admit that most of them were influenced by growing interest in the industry. But we helped each client find the real value of AI for their business. Maybe not today, but it will play a big role in a few years. I want to remind you that despite massive progress, we are still somewhat limited in AI usage.
Q: And for the finale. Are you optimistic about the future of the AI industry?
Definitely. How else could I feel seeing huge advances, seeing how excited people are about AI and mass adoption that we couldn’t even dream of even a few years ago? Of course, there are still some challenges to overcome. But I think we will be able to handle them. I think in a few years AI will show even more prominent results.
If we are talking about a little longer time – a decade, for example, I am even more optimistic. We have already seen how blockchain is bringing value to millions of businesses around the world. And it is a complicated technology with many trade-offs and a very complex integration process. Even today, Ai has a level of availability and adoption that blockchain can only dream of. Ai-based technologies will generate trillions of dollars over the next ten years.
AI is already transforming entire industries: healthcare, logistics, manufacturing, retail and finance. Moreover, growth is bullish for humanity as it can face challenges such as climate change, poverty and disease.
AI has already shown its potential in healthcare by detecting diseases such as cancer at an early stage, improving the accuracy of diagnoses and developing personalized treatment plans. In transport, AI is used to develop self-driving cars to reduce traffic congestion and accidents. In manufacturing, AI improves the efficiency of supply chains and reduces downtime. I could go on with dozens of examples. The bottom line is that AI is already the biggest commercial opportunity in today’s rapidly changing economy. Imagine what it will do in ten years.
Q: Thank you. And you are welcome to add anything to make a great ending to this wonderful interview.
Behind any technology, be it artificial intelligence or blockchain, there is always a person who creates this technology so that others can benefit from it themselves. Therefore, we always help those who are looking for and understand the real value of new technology.
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