Developer's Dilemma: National Security Concerns Limit Open Model Choices

A developer working with customers sensitive to nation-state politics describes a practical dilemma: they need to use open models in closed environments because cloud API services are prohibited due to data leakage concerns, but their customers refuse Chinese models citing "national security risk."

The Core Problem

The developer states that the only recent semi-capable model available from the U.S. is gpt-oss-120b, which they describe as "far behind modern LLMs like GLM, MiniMax, etc." This creates a bind where they must either use older, less capable models and fall further behind, or face customer resistance to Chinese alternatives.

Specific Models Mentioned

• U.S. model: gpt-oss-120b (described as outdated)
• Chinese models: GLM, MiniMax (described as more capable modern LLMs)
• Potential alternative: StepFun-AI from South Korea (mentioned as a "glimmer of hope")

Practical Constraints

The developer outlines several specific constraints:

• Cannot use cloud API services due to data leakage concerns
• Must use open models in closed environments
• Customers reject Chinese models for national security reasons
• American models are "locked away behind paywalls, logging, and training data repositories"
• Cannot secretly use Chinese models despite their technical superiority

Industry Context

The developer speculates that this situation explains why "Hegseth is pressuring Anthropic" and suggests the DoD needs offline AI capabilities. They question whether to lobby OpenAI for another open weights model or accept falling behind technically.