A 22-year-old just made Anthropic's most secretive architecture an open-source weekend project. Kye Gomez, founder of the Swarms agent framework, released OpenMythos on GitHub this week — a first-principles reconstruction of Claude Mythos, the proprietary architecture Anthropic announced in April as part of Project Glasswing, priced at $25 per million input tokens and $125 per million output tokens for participants. Anthropic has never published a technical paper describing Mythos's actual design, according to MarkTechPost.
The core of what Gomez rebuilt is a looped transformer — an architecture that re-runs the same computation steps multiple times rather than once, letting a smaller model think longer on hard problems and trade compute time for raw size. Gomez implemented it with a router — a selection mechanism that picks different computational experts at each loop iteration, making each pass computationally distinct. Meta published the underlying technique as COCONUT in late 2024. Gomez applied it specifically to Claude's architecture. The 770M-to-1.3B efficiency claim — that his 770-million-parameter reconstruction matches a standard 1.3-billion-parameter transformer on downstream tasks — comes from the Parcae paper by Together AI researchers; it is consistent with the looped transformer literature but has not been tested against actual Claude Mythos behavior, because no one outside Anthropic has access to the real model. Gomez proposes that his reconstruction approximates what Anthropic built. He may be right. He may be wrong.
What makes that question worth asking is what public models already demonstrate independently. AISLE tested eight available models against the same FreeBSD flaw Mythos showcased and found all eight detected it, including a 3.6-billion-parameter model at $0.11 per million tokens. Vidoc Security reproduced the full vulnerability chain using GPT-5.4 and Claude Opus 4.6 for under $30 per scan. Kimi K2, a model from Chinese AI startup Moonshot, independently found that the same bug is wormable — capable of spreading automatically from one infected machine to another — a detail Anthropic did not disclose in its announcement. Bruce Schneier, a security technologist at Harvard, called the Mythos announcement a PR play rather than a genuine capability distinction. If the same results are obtainable with public models at a fraction of the cost, the implied exclusivity becomes harder to justify.
Anthropic told the Financial Times it is holding Mythos back until it has enough compute capacity to serve customers. That gating narrative is what Gomez's reconstruction attacks from a different direction: if the architecture can be reconstructed from public research and the results replicated with cheaper models, the moat may not be architectural secrecy. It may just be weights no one else can inspect.
What to watch next is whether OpenMythos produces working checkpoints and a verifiable training run. Gomez has said the 3-billion-parameter training run on FineWeb-Edu is in the repo; if community members replicate it successfully in the next few weeks, the efficiency gap between the reconstruction and the real Mythos becomes measurable rather than theoretical.