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Complete guide: AI Safety & Alignment: The Critical Developments of 2026

By 2026, the enterprise landscape has shifted from experimenting with Large Language Models to deploying autonomous AI agents. This transition marks the "Age...

By 2026, the enterprise landscape has shifted from experimenting with Large Language Models to deploying autonomous AI agents. This transition marks the "Agentic Era," where systems do not just answer questions but execute workflows, manage data pipelines, and make decisions. However, this autonomy introduces a critical challenge: alignment. As AI systems gain the power to act, the cost of misalignment—defined as the divergence between intended goals and actual outcomes—has moved from a

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