Kategorie: Artificial Intelligence

Artificial intelligence is reshaping the games industry, but not quite in the way many expected. The biggest breakthrough isn't unbeatable enemies or fully AI-generated games. Instead, it's a new layer of interaction. Game characters can understand natural language, respond to changing situations, act as teammates and support players in entirely new ways. At the same time, AI is transforming game development itself – from asset creation to testing.

China is taking the next step in its AI strategy. The focus is no longer solely on developing increasingly powerful language models, but on building complete ecosystems for autonomous AI agents that can work with files, software, terminals and digital tools.

OpenAI has announced one of the biggest changes to the free version of ChatGPT to date: Free and Go users will soon have unlimited text chats with GPT-5.6 Luna. At the same time, the company is introducing a new Think button for more demanding questions. The features are being rolled out gradually and are designed to make powerful AI accessible to a much wider audience.

Most people begin working with artificial intelligence by writing a prompt. But as AI adoption becomes more sophisticated, one thing becomes increasingly clear: a single prompt is rarely enough. Modern AI workflows are evolving along a clear maturity ladder – from prompts to skills, workflows, agents and, ultimately, projects. These five levels do not represent different technologies, but different ways of organising work with AI. Understanding them allows organisations not only to use AI more effectively, but also to scale it and integrate it into existing business processes.

From today, 2 August 2026, another key part of the European Union's AI Act comes into force. The transparency obligations set out in Article 50 introduce the first legally binding rules requiring certain AI-generated content and AI systems to be clearly identified. The aim is to ensure that people know when they are interacting with artificial intelligence or viewing content that has been created or substantially manipulated using AI.

Artificial intelligence is no longer a futuristic concept on university campuses. For the overwhelming majority of students, it has become an integral part of everyday academic life—whether for research, learning, writing or programming. The latest CHE DataCHECK, Artificial Intelligence in Higher Education, reveals just how deeply AI has become embedded in students' daily routines. At the same time, the report exposes a widening gap between how students actually use AI and the support universities provide.

Until recently, many organisations followed a simple rule: if you wanted the best possible results, you used the most powerful AI model available. The more capable the model, the better the output—regardless of the cost. That mindset is now beginning to change. A new term is gaining traction across the AI industry: Modelmaxxing.

With ChatGPT Work, OpenAI is pursuing one of the most significant strategic shifts in the history of ChatGPT. Rather than simply answering questions or generating text, the new capability is designed to take ownership of entire workflows. ChatGPT Work is conceived as an agentic work assistant that can plan projects independently, combine information from multiple sources, interact with applications and ultimately deliver finished outcomes.