The rapid development of AI brings both extraordinary potential and unprecedented risks. AI systems are increasingly demonstrating emergent behaviors, and in some cases, are even capable of self-improvement. This advancement, while remarkable, raises critical questions about our ability to control and understand these systems fully.

As AI continues to evolve and integrate deeper into societal frameworks, the strategies for its governance, alignment, and security must also advance, ensuring that AI enhances human capabilities without undermining human values. This requires a vigilant, adaptive approach that is responsive to new challenges and opportunities, aiming for an AI…

With AI’s breakneck expansion, the distinctions between ‘cybersecurity’ and ‘AI security’ are becoming increasingly pronounced. While both disciplines aim to safeguard digital assets, their focus and the challenges they address diverge in significant ways. Traditional cybersecurity is primarily about defending digital infrastructures from external threats, breaches, and unauthorized access. On…

AI cannot break modern encryption. The reasons are fundamental: Mathematical Hardness, Cryptographic Design, Empirical Track Record, Quantum Contrast, Expert Consensus.