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U.S. Social Media Use Trends 2020-2024: A Look at Decline, Fragmentation, and Polarization

This news item, published on February 8, 2026, from Hacker News, references a forthcoming paper titled 'Shifts in U.S. Social Media Use, 2020–2024: Decline, Fragmentation, Polarization (2025)'. The original content provided is simply 'Comments', indicating that the full details of the paper's findings are not yet available in this news snippet. However, the title of the referenced paper suggests an analysis of significant changes in American social media consumption patterns over a four-year period, focusing on a decrease in overall use, a splintering of platforms, and increasing division among users. Further details would be required to elaborate on the specific methodologies, data, or conclusions of the study.

Hacker News

The provided news item, sourced from Hacker News and published on February 8, 2026, points to an upcoming academic work. The title of this referenced paper is 'Shifts in U.S. Social Media Use, 2020–2024: Decline, Fragmentation, Polarization (2025)'. The only content available in the original news snippet is the word 'Comments'. This indicates that while a significant study on U.S. social media trends between 2020 and 2024 is being highlighted, the specific findings, methodologies, or detailed analysis from the paper itself are not included in this particular news brief. The paper's title strongly suggests an investigation into three key areas: a potential reduction in overall social media engagement, an increase in the number and variety of platforms used by individuals (fragmentation), and a growing division or ideological separation among users (polarization). Without further information from the paper, it is not possible to elaborate on the specific data or conclusions reached by the authors.

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Study Finds Self-Generated Agent Skills Ineffective, Sparking Discussion on AI Development

A recent study, 'Self-generated Agent Skills are useless,' published on February 16, 2026, and sourced from Hacker News, has generated significant discussion. The core finding suggests that skills developed by AI agents through self-generation are ineffective. This research, available on arXiv, has prompted comments and debate within the AI community regarding the efficacy and future direction of autonomous agent skill development.

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LCM: Lossless Context Management - A New Paper from Voltropy

A new paper titled "LCM: Lossless Context Management" has been published by Voltropy, as announced on Hacker News. The paper, available in PDF format, was published on February 16, 2026. Further details regarding the content and authors are not provided in the original news, which only includes a link to the PDF and a 'Comments' section.

Research

Mathematicians Divided: The Essential Structure of Complex Numbers Sparks Disagreement

A recent discussion, as indicated by comments on Hacker News, reveals a disagreement among mathematicians regarding the fundamental structure of complex numbers. While the specific points of contention are not detailed in the provided information, the existence of such a debate highlights ongoing academic discourse within the field of mathematics concerning foundational concepts. This divergence of views suggests that even well-established mathematical constructs can be subject to varying interpretations and perspectives among experts.