Andrew Miller (@socrates1024) is one of the coauthors of the OML paper. He works at Teleport on applications of confidential compute in social media and communications. He holds a PhD from the @UofMaryland Cybersecurity Center and is an Adjunct Associate Professor @UofIllinois as well as an Associate Director of IC3 @initc3org His expert background in cryptography and confidential computing make him an ideal collaborator on mechanisms that allow open-source AI artifacts to be open, monetizable, and loyal (OML). Andrew contributed to the section on confidential compute and TEEs. Alongside Andrew, we’ve co-authored and released a fundamental manuscript detailing the next steps toward OML, pushing the frontier of research powering open-source AI; see for details. This work will be presented at 2025 @NeurIPSConf during the Workshop on Lock-LLM.

Andrew Miller (@socrates1024) is one of the coauthors of the OML paper. He works at Teleport on applications of confidential compute in social media and communications. He holds a PhD from the @UofMaryland Cybersecurity Center and is an Adjunct Associate Professor @UofIllinois as well as an Associate Director of IC3 @initc3org His expert background in cryptography and confidential computing make him an ideal collaborator on mechanisms that allow open-source AI artifacts to be open, monetizable, and loyal (OML). Andrew contributed to the section on confidential compute and TEEs. Alongside Andrew, we’ve co-authored and released a fundamental manuscript detailing the next steps toward OML, pushing the frontier of research powering open-source AI; see for details. This work will be presented at 2025 @NeurIPSConf during the Workshop on Lock-LLM.