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5 février 2025
- ISIDORE Id: 10670/1.aecd39...
- Report N°: 1 (1)
- hal: hal-04952735
http://creativecommons.org/licenses/by-nc/ , info:eu-repo/semantics/OpenAccess
Mots-clés
AI Digital labor Data work China Deepseek OpenAI J - Labor and Demographic Economics ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCESujets proches
Expenses Costs (Economics)Citer ce document
Antonio Casilli et al., « The Human Cost of DeepSeek: Hype the Technology, Hide the Workers », HAL SHS (Sciences de l’Homme et de la Société), ID : 10670/1.aecd39...
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Résumé
China's AI sensation DeepSeek claims to match ChatGPT's capabilities for just 1% of the cost and a fraction of its energy consumption, marketing itself as an open-source alternative to US tech giants. Debates that focus on its technical prowess overlook a crucial factor in its success: government-subsidized data labor. Recent Chinese policies have aimed at creating sprawling data-annotation hubs in 'tier 3' cities, offering tax breaks and financial incentives to companies to sustain a vast workforce of low-wage data labelers. DeepSeek portrays these workers as expert researchers-even suggesting the CEO himself labels data-and claims a team of just 32 annotators. However, this version of events clashes with documented evidence and casts doubt on the startup's marketing narrative and technological claims. Similar to how ChatGPT's ambitious AGI prophecies were undermined by revelations of widespread human annotation networks, DeepSeek's miraculous cost and efficiency metrics may conceal less comfortable realities yet to be fully appreciated.
