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// 79d agoNEWS
Gregov warns AI needs human wisdom
Lucija Gregov’s essay argues that AI is being scaled faster than it is understood, blending recent research on deepfakes, misalignment, and governance into a broader warning about epistemic collapse and unsafe acceleration. For AI developers, it reads as a forceful call to treat safety, ethics, and critical thinking as foundational work rather than cleanup after capability gains.
// ANALYSIS
This is an opinion essay, not a product announcement, but it lands because it connects abstract AI ethics talk to concrete technical failure modes and research results.
- –The strongest thread is the claim that alignment remains poorly understood even as models get more capable and more widely deployed
- –The piece frames AI risk less as rogue machines and more as humans using powerful systems to scale deception, surveillance, and control
- –It argues current governance debates are downstream fixes while the real upstream gap is weak interdisciplinary research and poor institutional readiness
- –For technical readers, the value is in the synthesis: safety papers, deepfake evidence, and competitive race dynamics are presented as one coherent systems problem
// TAGS
lucija-gregovsafetyethicsresearch
DISCOVERED
79d ago
2026-03-11
PUBLISHED
82d ago
2026-03-08
RELEVANCE
6/ 10
