Tag: AI Security
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Superalignment: Everything You Need to Know for AI Safety
The promise of artificial superintelligence is intoxicating systems that outthink humanity across every domain, solving intractable problems in moments. But here’s the sobering reality: if today’s alignment techniques buckle under superhuman capabilities, who or what ensures these machines serve human intent rather than subvert it? Superalignment steps in as the answer, defined as the…
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TikTok’s Regulatory Reprieve Masks a Deeper AI Security Crisis: Why Data Localization Fails Against Model Vulnerabilities
Most coverage of TikTok’s latest regulatory reprieve casts it as a straightforward victory for ByteDance a sidestep of national security fears through economic muscle and innovation appeals. This view ignores the operational truth: with AI driving platforms like TikTok’s recommendation engine, the real challenge for regulators and enterprises lies not merely in data access, but…
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Security Hiring’s DEI Problem: When Specialization and Inclusion Collide
Most executives evaluate hires through the prism of talent optimization or cultural fit—yet when cybersecurity threats demand specialists with narrow, often unconventional backgrounds, these choices expose raw tensions between risk mitigation and diversity mandates that few organizations have reconciled. The push for diversity is understandable: boards face relentless pressure from regulators, investors, and internal advocates…