European AI: Why your own development is crucial

European AI development is facing a crucial choice. While AI startups rely on technologies such as Large Language Models (LLMs) and Language Processing, the question remains whether Europe can do without its own large AI models. In an interview, Nicole Lemke, a political scientist and AI expert, emphasizes that it is riskier to describe the train as worn out than to drive your own development. The European AI strategy aims to promote independent and responsible technology development that combines both innovation and ethical standards.

This development is supported by platforms such as SoundCloud, which release AI-generated music directly. Tools like ElevenLabs optimize the workflow, allowing AI-generated content to be brought to market faster and more efficiently. At the same time, the need for solutions that evaluate data availability and protection needs is increasing. The Data Sharing Advisor helps organizations analyze data potential while identifying the risks posed by AI and regulatory requirements.

The security of data and communications is becoming increasingly important, especially with regard to the threat of quantum computing. Post-quantum cryptography is becoming increasingly necessary for companies as existing encryption techniques could be put at risk by quantum computers. Organizations must now prepare for future-proof solutions to ensure their data integrity.

European AI development requires not only technological innovation, but also a smart balance between innovation and responsibility. The AI technologies being developed in Europe must be both powerful and ethically responsible. It is crucial that the development is not dependent on external solutions, but enables an independent, sustainable future.

## What this means for users The AI modules in xynap, such as the voice assistant, STT/TTS and LLM gateway, help users create and use AI-generated content without relying on external solutions.