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AI agents explained
AI agents are systems that independently execute tasks, make decisions, and use tools to achieve a goal. They are the next step beyond chatbots.

AI and copyright — who owns generated content?
When AI creates a text, image, or piece of music, who is the owner? This legal question is current and the answers are not yet clear everywhere.

AI and cybersecurity — attacks and defense
AI makes cyberattacks smarter and faster, but also strengthens defense. This article explains how AI is changing the world of cybersecurity.

AI and privacy — what happens to your data?
When you use AI tools, you share data. But what exactly happens to that information? This article explains what the risks are and how you can reduce them.

AI and sustainability — how much energy does AI consume?
Training and running AI models costs enormous amounts of energy. But AI can also help with climate solutions. How does the balance work out?

AI in education — opportunities and risks
AI is changing how we learn and teach. From personalized study tools to plagiarism detection — this article outlines the opportunities and risks of AI in education.
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AI in Recruitment: Agencies Grow Three to Nine Times Faster Thanks to Artificial Intelligence
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AI Is Driving Up the Price of the Next iPhone: How Artificial Intelligence Is Making Everything More Expensive
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Amazon Sells AI Chips Outside Its Own Cloud: A Strategic Game-Changer in the AI Hardware Market
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Anthropic Blocks Top AI Models for Non-Americans Following U.S. Government Ban
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Anthropic introduces Claude 3.7 Sonnet and Claude Code
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Anthropic introduces the Model Context Protocol (MCP)
All AI news
AI in numbers (2026)
300M+
Weekly users of ChatGPT
70+
AI tools in this overview
80 yr
History of AI (1943–2026)
$200B+
Annual AI investments
5 days
ChatGPT to 1M users
1T+
Parameters in largest models

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What is artificial intelligence?
Artificial intelligence (AI) refers to computer systems that perform tasks that normally require human intelligence: reasoning, learning, planning, problem solving, understanding language and recognising images. The modern wave of AI is based on machine learning — systems that learn from large amounts of data instead of being programmed with fixed rules.
The breakthrough of recent years is due to deep learning and the Transformer architecture (Google, 2017), which forms the basis for virtually all modern AI applications — from ChatGPT and Claude to Gemini and Midjourney. Generative AI broke through in 2022 with ChatGPT and has been growing exponentially ever since.
Frequently asked questions about AI
Artificial intelligence is the field that develops computer systems that perform tasks that normally require human intelligence: learning, reasoning, planning and problem solving. Modern AI is largely based on machine learning, where systems learn to recognise patterns from enormous amounts of data.
AI is the broad term for systems that simulate intelligent behaviour. Machine learning is a subfield where systems learn from data without being explicitly programmed. Deep learning is a specific technique within machine learning, based on deep neural networks. Deep learning powers virtually all modern AI breakthroughs.
ChatGPT (OpenAI) and Claude (Anthropic) are both large language models from different companies. Claude is known for strong instruction following, safety and excellent performance on long documents. ChatGPT has a broader ecosystem of integrations. For most users, both are excellent choices.
Many AI tools have a free basic version: ChatGPT, Claude, Gemini, Meta AI, Perplexity, Stable Diffusion, Whisper, Suno and Canva AI. Premium versions offer more features and higher limits.
Content generated by Claude (Anthropic) — model: claude-sonnet-4-6
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Content generated by Claude (Anthropic) · model: claude-sonnet-4-6