Korean startup Upstage AI is under scrutiny after a rival founder alleged its Solar Open 100B model copied China’s Zhipu GLM‑4.5‑Air, citing 96.8% cosine similarity in certain parameters. On January 2–3, 2026, Upstage’s CEO publicly presented training logs and checkpoints in a government‑backed verification session, while Korea’s Ministry of Science and ICT ordered additional checks before deciding whether the model qualifies under the national “Sovereign AI” program.
This article aggregates reporting from 1 news source. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
Korea’s sovereign AI strategy was designed to prove the country could build competitive foundation models without leaning on US or Chinese weights—and Upstage was a flagship bet. The plagiarism allegations therefore land at the intersection of technical integrity and national tech policy. By forcing Upstage to disclose detailed training logs and inviting third‑party statisticians to challenge simplistic similarity metrics, MSIT is effectively prototyping what due‑diligence for public funding of foundation models might look like.([koreatechdesk.com](https://koreatechdesk.com/upstage-ai-plagiarism-dispute-korea))
For the broader AGI race, this is a reminder that “from scratch” is becoming a politicized claim. As more governments bankroll sovereign models, rivals will have incentives to weaponize parameter‑similarity analyses, while incumbents will push for stricter proofs of originality. The risk is that this turns into a compliance tax that only the biggest labs can easily pay, reinforcing concentration. The opportunity is that it forces better documentation, versioning, and reproducibility practices across the ecosystem. How Korea resolves the Upstage case—sanction, exoneration, or conditional approval—will be an early template other countries can borrow or avoid as they design their own national AI programs.


