Clément Delangue speaks with Theo Jaffee and Sofia Puccini about government scrutiny of frontier AI and argues for more transparent evaluation. His view that open models are generally less dangerous is an opinion about a contested and changing risk landscape.
Clément Delangue describes local inferenceA local model runs on computing infrastructure controlled directly by the user rather than only through a remote model service., model routing and Hugging Face’s platform business, arguing that different models can serve different tasksAI model routing sends each request to a model chosen for that request's complexity, cost, speed, privacy, or other requirements.. He also discusses the challenges of restricting access to openly distributed model weightsAn open-weight model makes its trained parameter values available so others can run or adapt it under the release's licence..
The interview covers allegations around distillation, concentration among frontier labs and the potential for a European AI ecosystem. Delangue offers his perspective as the head of a company that supports open-model development.
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