Why safe AGI requires an enactive floor and state-space reversibility

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With LLMs, we have built the peak of synthetic cognition without the base — and the Anthropic-Pentagon standoff shows us what that costs. In early March 2026, Anthropic CEO Dario Amodei refused the Pentagon’s demand to remove all safeguards from Claude. His core argument was structural, not political: frontier AI systems are simply not reliable enough to operate … Weiterlesen

Rethink Learning Impact Through AI-Driven Analytics

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Why Learning Impact Needs A Rethink In 2026 For years, Learning and Development has been rich in content but poor in consequence. Completion rates, satisfaction scores, and course catalogs have dominated dashboards—while business leaders ask a different question: „Is learning actually improving performance?“ In 2026, that question is no longer philosophical. With advances in AI, … Weiterlesen

Sycophancy: the emperor’s new clothes

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Why AI’s real danger isn’t hallucination — it’s agreement. The conversation about AI risk over the past years revolved around accuracy, the ability to pass tests and whether it is conscious. Yes, large language models (LLM) hallucinate, and they confidently fabricate citations and invent facts. Remember when Google’s AI made headlines in 2024, and then it recommended … Weiterlesen