Tag: AI
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The Economic Costs of the AI Language Tax: How They Build Up, and Who Pays Them
Executive Summary AI models don’t treat all languages equally. AI breaks text into “tokens” for processing and billing (tokenization). Some languages, spoken by nearly 3 billion people, can require significantly more tokens for the same meaning. In some cases they may need several times more. These extra tokens and the cost they incur, are called…
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AI’s Cultural Divide;
Are your Language and Culture Winning or Losing? Introduction: Reframing the linguistic & cultural divide The economic divide in AI access—rich versus poor, connected versus offline—is well documented. This paper identifies a second, deeper divide running underneath it: a linguistic and cultural gap that determines not whether populations can use AI, but how well it…
