This article critiques traditional social media platforms for prioritizing superficial engagement over meaningful discourse, particularly frustrating "Cultural Creatives"—individuals focused on addressing complex global challenges like climate change and social justice. The piece argues that current platforms create echo chambers, reward sensationalism over constructive debate, and reduce complex problems to oversimplified soundbites through their "one-to-many" model and algorithm-driven feeds. It identifies growing demand for "prosocial media" alternatives that emphasize collective sensemaking, systems thinking, and context-rich discussions rather than individual popularity metrics. The article contrasts traditional social networks' focus on likes, shares, and brief comments with the need for platforms that support in-depth analysis, multidimensional understanding, and collaborative knowledge-building to tackle "wicked problems" requiring nuanced, interconnected thinking.

This article explores research from the University of Pennsylvania and American University that identifies two types of curiosity: "hunters" who connect closely related topics in tight clusters to fill knowledge gaps, and "busybodies" who jump between diverse topics creating loose knowledge networks. The research used Wikipedia browsing patterns as a novel measurement approach. The piece argues that curiosity involves both consumption (gathering information) and curation (shaping and retaining it), with both aspects contributing to wellbeing through "aha moments" when understanding crystallizes. However, the author suggests that losing curated information—through forgotten notes, lost tweets, or failed memory—can create frustration that negatively impacts wellbeing. The article proposes that understanding these curiosity patterns can inform the design of tools that better support information discovery and retention, claiming this could enhance emotional satisfaction and overall wellbeing.

This article discusses workforce adaptation needs in response to the Fourth Industrial Revolution and COVID-19 pandemic, referencing a World Economic Forum report stating that 50% of employees will need reskilling by 2025. The piece notes that while critical thinking and problem-solving remain top priorities, the pandemic has elevated distinctly human skills like active learning, resilience, stress tolerance, and flexibility. The author argues these human capabilities are irreplaceable by machines, particularly the ability to adapt perspectives and grow from traumatic experiences. The article suggests that understanding different perspectives enhances flexibility and resilience, and proposes that human active learning—which considers nuance and context that machines cannot account for—can be augmented with AI rather than replaced by it. Using an HR practitioner example, the piece illustrates how combining human insights with AI analysis could improve decision-making processes in a post-pandemic workforce environment.

This article announces the launch of Hunome as a collective insights platform designed to help humanity understand itself through connected member perspectives on human-related themes. CEO and Founder Dominique Jaurola explains that the platform addresses the challenge of gathering scattered, siloed information about human behavior and experiences, which often leads to incomplete or simplistic understanding. The platform allows members to explore different perspectives on various themes while contributing their own viewpoints and connecting with others' insights. Jaurola describes Hunome's goal as creating comprehensive understanding of human nature—past, present, and future—through what the platform calls collective sensemaking, positioning it as a tool for complex problem-solving and decision-making that improves as more perspectives are added to the community.