Tag: AI

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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