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02. November 2026
Self-Improving AI: Progress and Risks under the Sign of AI Optimization
Self-improving AI systems show progress, but mistakes can be easily overlooked. At the same time, the role of AI in the working world is being changed, while Gartner warns of a decline in neoclouds.
Tool choice: When agents write, languages lose importance
Agents are transforming software development by reducing the importance of traditional programming languages and increasing efficiency. The integration of such technologies requires a new kind of competencies and security measures.