OpenAI exposed and disrupted a coordinated campaign aimed at extracting protected model reasoning through model distillation. The incident highlighted vulnerabilities in how models can be reverse‑engineered by adversaries. In response, OpenAI is enhancing its defenses to guard against future adversarial distillation attempts.
We’re adding new features to help developers have more control over fine-tuning and announcing new ways to build custom models with OpenAI.
arXiv:2605. 29128v2 Announce Type: replace Abstract: The wide adoption of LLMs has led to their use in great variety of applications and scenarios, such as chatbot assistants and data annotation, creating the need for the models to satisfy certain budget and hardware constraints.
By Andrei Panferov, Davit Melikidze, Martin Jaggi, Dan Alistarh
We’re releasing an API for accessing new AI models developed by OpenAI.
arXiv:2602.09691v2 Announce Type: replace-cross
Abstract: Knowledge distillation (KD) is a technique to compress a larger teacher system into a smaller student. In machine translation, KD is commonly...
By Joseph Attieh, Timothee Mickus, Anne-Laure Ligozat, Aur\'elie N\'ev\'eol, J\"org Tiedemann