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The Peak and Collapse of Digital Research

Digital research is collapsing due to information overload, declining quality, and eroded trust. The volume of low-quality content and algorithmic curation undermine online research value, potentially pushing knowledge production back toward curated, authoritative sources.

Background

- The article argues that digital qualitative research (online focus groups, diary studies, user testing) peaked in 2021-2022 and is now in rapid decline. - Key cause: generative AI is replacing human participants with synthetic respondents and automated analysis, making traditional platforms obsolete. - Reference to major platforms (dscout, UserTesting, Remesh) that have laid off staff, lost clients, or pivoted from human-centric to AI-first models. - Broader context: mass tech layoffs gutted in-house UX research teams, and managers increasingly see AI outputs as "good enough" for insights. - The author warns that human-led research tools face a "commodity trap," where clients will only pay for cheap, fast, AI-generated results.

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Andrej Karpathy announces the release of Claude Fable 5, the same underlying model as Mythos but with added safeguards. He calls it a major step forward, particularly for long problem-solving sessions on difficult tasks, and describes it as state-of-the-art on nearly all benchmarks with exceptional performance in software engineering, research, and vision.
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Meta's engineering culture is deteriorating under Mark Zuckerberg and Scale AI CEO Alexandr Wang, who have introduced keyboard tracking, reassignments to data labeling, and AI-centric performance metrics. Critics argue this incentivizes performative AI use, drives away experienced engineers, and contributed to a major Instagram hijacking incident caused by AI-written and AI-reviewed code.

The Peak and Collapse of Digital Research

Background

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