"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis Sovereign AI in Poland: Language Adaptation, Local Control & Cost Advantages with Marek Kozlowski
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Dec 6, 2025 
Marek Kozlowski leads Poland's AI Lab and spearheads Project PLLuM, focusing on localized language models. He discusses the importance of AI sovereignty through small, culturally adapted models to overcome biases in mainstream AI. Marek highlights challenges with existing English-centric models and the necessity of benchmarks that respect Polish language and culture. He elaborates on the principles of transparency and organic data usage in AI, while addressing the legal constraints that shape model behavior in Europe.
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Release Cookbooks And Organic Data
- Publish transparent recipes, data samples, and training cookbooks alongside open weights to increase trust.
- Marek recommends prioritizing organic human-checked instructions and preferences to avoid linguistic degradation.
Human-Check SFT Data
- Avoid using automatically generated, linguistically poor SFT data without human review.
- Validate and refine LLM-produced instructions with human annotators to preserve linguistic quality.
Sovereignty Means Local Competence
- Sovereignty isn't only political; it's technical competence in data, compute, and talent.
- Marek stresses building local engineering skill to ensure control even if models lag frontier capabilities.