In the coming years, building a personal computer may become significantly more expensive than we are used to. The reason is a global shift of production capacity toward artificial intelligence. Major companies that previously supplied the market with RAM, storage devices, and GPU chips are now redirecting their manufacturing to meet the needs of data centers and AI models. All this creates a shortage of components and leads to rising prices.
When most people hear the word “blockchain,” they immediately think of Bitcoin and other cryptocurrencies. However, the history of this technology is much broader. Blockchain is a special method of storing information as a chain of blocks, where each block contains data and is linked to the previous one through a complex mathematical code. This makes the system transparent, protected from alterations and fraud. It is important to understand that blockchain itself is not a currency but a tool for reliably storing and transferring information.
The release of Gemini 3.0 has become one of the key events in the world of artificial intelligence. If previous versions were already considered groundbreaking, the third generation of the model demonstrates a qualitatively new level of capabilities, accuracy, and adaptability. It is not only about increasing computational power, but about fundamental changes in the interaction between humans and AI. Gemini 3.0 essentially sets new standards for what a modern intelligent tool should be: fast, universal, context-aware, and as close as possible to human logic. That is why the launch of the model became an important point of transformation for the entire digital ecosystem.
The world has just crossed a historic threshold: for the first time in industrial history, there has been a mass shipment of humanoid robots. UBTECH has announced the completion of its first major commercial delivery of the Walker S2 model — hundreds of robots have already been delivered to customers, and the total volume of contracts for 2025 has exceeded 800 million yuan, which is about 113 million dollars. The robots have been ordered by major manufacturing corporations, logistics operators, and even data centers, and in the coming months the company plans to ramp up to serial production of thousands of units every month. This is the first time in the world that humanoid robots are leaving research labs for real industrial processes — and that is why this news is already being called the beginning of a new era of automation.
Just a few years ago, artificial intelligence seemed like an incredible achievement of humanity — a technology meant to make life easier. But now, as it has become a common element of our reality, a question arises more and more often: are we paying too high a price for this comfort? AI not only helps us — it changes our psyche, our perception of the world, and even the way we think. And these changes happen quietly, gradually, yet inevitably.
Artificial intelligence is undergoing another stage of evolution — and this time, the changes may be even more significant than during the emergence of GPT models or the mass adoption of chatbots. The Chinese company Kimi has introduced the Kimi K2 model, which, according to the developers, not only approaches the performance of the most powerful systems on the market but also offers a much lower cost of use. In some tests, K2 outperforms GPT-5 and Claude Sonnet 4.5, while demonstrating efficiency in complex multilingual tasks, agent-based programming, and processing large volumes of information. The most interesting part is that this model may be several times cheaper than its counterparts — and therefore has the potential to influence the entire market’s economy.
Recently, Microsoft introduced a new concept of AI agents that can act not just as assistants, but as independent participants in the workflow. Within these tools, it is now possible to create artificial “digital units” that understand the context of a task, initiate actions, communicate with other systems, and even coordinate the work of individual employees. This is not just another software update. It signals that artificial intelligence is transitioning to a new stage of development, where it stops being a passive tool and becomes an active agent in the business environment. For the automation market, this may mean a fundamental shift in the principles of work organization.
Until recently, digital files were seen as something infinitely copyable and identical. An image shared online could have thousands of copies, each looking exactly like the original. Music, video, or digital art could be stored on countless devices, and no one could prove who owned the “real” version. The internet had no scarcity, and therefore no true sense of ownership. Everything changed with the emergence of NFTs, which transformed digital objects into fully unique assets with defined ownership, history, and value.
Just a few years ago, opening a menu at a café meant flipping through laminated pages, touching them after dozens of people, and waiting for the waiter to bring one to your table. Today, you’re more likely to find a small square code. Simply point your smartphone camera — and the menu instantly appears on your screen. The QR menu has become not just a convenience but a true symbol of digital evolution in hospitality, reshaping both business processes and the way guests interact with restaurants.
Ukraine is launching AI Factory — the first national infrastructure project aimed at supporting and developing artificial intelligence within the public sector. The idea is to create a reliable, secure, and centralized platform where key AI services of the state will operate — such as the assistant in Diia, the AI tutor in Mriia, and later, systems for healthcare, science, and defense.
This infrastructure will include GPU clusters, data centers with liquid cooling, data storage, tools for dataset preparation, and integration with government registries — all designed to ensure that AI models run fast, reliably, and with full data security compliance.
