Tag: AI

The Labor Market in Conditions of Technological Shift

A robot in a business suit with a document in his hands stands opposite a judge with a book of laws, with a visually divided space between them with symbols of technology and justice.
How automation and AI are changing the rules of the game in today’s job market

Just a few years ago, automation was primarily associated with factories, assembly lines, and physical labor. It was believed that intellectual professions related to analysis, writing, law, or management would remain an area of human advantage. However, the rapid development of artificial intelligence has changed this logic. Today, it is precisely the segment of the labor market that was long considered the most protected that has come under pressure — work based on knowledge, experience, and information processing.

The world is entering an era of memory shortages

An hourglass in the shape of a RAM module, symbolizing a limited resource and lack of RAM.
RAM is gradually becoming one of the scarcest resources in digital infrastructure

For many years, RAM remained a relatively affordable and predictable component of computer technology. Performance growth was accompanied by declining costs, and increasing the amount of RAM was considered a simple way to scale almost any project. However, today this model is rapidly collapsing. The world is entering an era in which RAM becomes a scarce resource, and its price and availability are determined by global infrastructure projects.

OpenAI Takes Image Generation to a New Level

A laptop with an open image generation interface on the screen, a houseplant and a cup of coffee next to it on a colored gradient background.
Modern image generation tools make visual content more accessible and of higher quality

The world of digital content is changing faster than ever, and image generation has become one of the key technologies driving this transformation. Just a few years ago, AI-generated images looked like an interesting but quality-limited experimental feature. Today, they are evolving into a full-fledged professional tool. Another major step in this direction is the launch of ChatGPT Images — a new image generator from OpenAI that is already being called the company’s most powerful solution in the visual domain.

IBM Power11 as a server platform for the new AI reality

An IBM Power11 server next to artificial intelligence symbols, digital diagrams, and a robotic profile representing AI workloads.
IBM Power11 platform is focused on working with intensive computing and modern AI tasks

Artificial intelligence has gradually ceased to be an experimental technology and has become part of everyday business practice. Today, AI is used for big data analytics, process automation, forecasting, and language and image processing. All of this creates new requirements for server infrastructure. If previously the main focus was on stability and data storage, now performance, scalability, and the ability to handle constantly growing workloads play a key role. It is in this context that IBM introduced Power11 — a new generation of servers designed to operate in the conditions of the AI reality.

The Global Memory Market on the Brink of Crisis

Illustration with a RAM module, a growth graph, and a coin - a symbol of the rising price of memory.
RAM prices are rising rapidly due to a global shortage of chips

In the coming years, the global computer hardware industry may face the most serious shortage of the past decade. The market for dynamic RAM (DRAM) and solid-state drives (SSD) is experiencing a sharp rise in prices and a shortage of components, affecting both electronics manufacturers and ordinary users. The reason behind this is the rapid shift of leading companies toward producing chips for artificial intelligence, which today consumes most of the world’s manufacturing capacity. To understand what this may lead to, it is worth examining the factors driving the new memory crisis.

How group chats in ChatGPT work and why they are needed

A group of people at laptops are chatting and discussing ideas, the ChatGPT logo is displayed on the screen above them in the form of a dialog in the clouds.
Collaboration accelerates when AI becomes part of team interactions

Group chats in ChatGPT have become one of the most notable new capabilities of artificial intelligence. If earlier interaction with the model happened in a “user — AI” format, now several people can join the dialogue simultaneously. This changes not only the communication format but also the very logic of interaction between people and a digital assistant. A group chat works as a space where artificial intelligence participates in team discussions, helps coordinate work, generates ideas, and reduces the workload on participants. To understand why this matters, it is worth examining how such chats function and in which situations they bring the greatest value.

How Artificial Intelligence Learned to Break CAPTCHAs and What Website Owners Should Do

The robot shows the person a recognized captcha, and the site owner holds his head in concern.
Captcha no longer stops AI

CAPTCHA has long been considered one of the simplest and most reliable ways to protect websites from bots. It required the user to perform an action that automated programs supposedly could not repeat: recognize distorted characters, select images with bicycles, or mark all traffic lights. But the era of artificial intelligence has changed the rules of the game. What seemed impossible for a computer ten years ago is now performed by algorithms faster and more accurately than humans. Website owners are now facing a reality where the familiar CAPTCHA no longer guarantees protection.

Why Governments Started Investing Trillions in AI Infrastructure

A group of people in business attire are discussing a large AI processor against the backdrop of data centers and a government building with a dome.
The state as a key investor in strategic AI infrastructure

Artificial intelligence has ceased to be a laboratory experiment and has become the foundation of a new economy. If just a few years ago AI investments were associated mostly with private companies, today governments have actively joined the race. The USA, the EU, China, Japan, and the United Arab Emirates are competing to build the most powerful data centers, purchase thousands of GPUs, develop their own models, and even form state-level alliances with corporations. The amount of investment is no longer counted in billions — but in trillions of dollars.

AI Accelerators as the Foundation of Modern Data Center Architecture

A chip with the AI ​​logo in the center of the board, surrounded by server racks, symbolizing the operation of a data center based on artificial intelligence accelerators.
AI accelerators are becoming the core of modern server infrastructure

The rapid progress of artificial intelligence has forced the data center industry to radically restructure: classical server farms must transform into AI-oriented “supercenters” with supercomputer-level power and new infrastructure requirements. At the core of these changes are specialized AI accelerators — hardware chips designed to speed up machine learning tasks, which have essentially become the foundation of modern data center architecture. Without such accelerators, breakthroughs like ChatGPT would take much more time and money — no wonder AI accelerators are now widely used by global tech giants.

How Microsoft and Google Compete in the AI Assistant Space

Two people in business suits shake hands, their heads replaced by the Microsoft and Google logos, with an "AI" icon between them.
The race of tech giants for leadership in artificial intelligence

Just a few years ago, artificial intelligence was perceived as an auxiliary tool, something like a voice assistant on a smartphone that could set a timer or answer a simple question. But large language models changed everything. New AI systems emerged that can analyze, summarize, create text, generate ideas, structure knowledge, and help interact with information on a much deeper level. Against this backdrop, a major competition began between Microsoft and Google—two companies striving to shape how we will work with information in the future. Their AI assistants—Copilot and Gemini—are now seen not as optional features but as a new interface layer between humans and computers.

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