Tag: AI transparency
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The illusion of openness in large language models (LLMs) ðŸŽ
While many large language models (LLMs) market themselves as “open,” access to source code without training data is largely performative. Openwashing – a practice where companies exaggerate openness while maintaining restrictions – exposes the illusion of transparency in AI. To achieve genuine openness, access to methodologies, reusable code, and modifiable models is essential, but most…