Teaching teens critical thinking could be key to challenging fake news, AI slop and toxic social media
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Updates every hour. Last Updated: 29-Apr-2026 02:15 ET (29-Apr-2026 06:15 GMT/UTC)
As climate change intensifies and global food security faces pressures, accurate monitoring of crop phenology—especially sowing dates—has become critical for optimizing agricultural management and improving climate resilience. Winter wheat, a staple crop supporting nearly 40% of the global population, relies heavily on timely sowing to maximize yield potential. However, traditional monitoring methods such as field surveys are labor-intensive and unscalable, while existing remote sensing approaches suffer from soil background interference and static environmental data limitations.
New study shows that modern AI systems don’t just process information, they systematically “judge” people in ways that resemble human trust, but with important differences. Like humans, they favor competence and integrity, yet they do so in a more rigid, rule-based, and often more extreme way. Crucially, their judgments can also be more consistently biased across demographic traits and vary significantly between models. The bottom line: AI can mimic the structure of human judgment, but it does not think like humans, and that gap matters when these systems are used to make real decisions about people.