The archived draft introduces Mythos as “a new tier of model: larger and more intelligent than our Opus models”, reports dramatically higher scores than Claude Opus 4.6 on software coding, academic reasoning and cybersecurity, and lays out a slow, cyber-defender-first early-access release because the model is large and expensive to serve (archived post, saved by M1Astra). The same paragraph introduces Mirendil, which announced itself as a frontier lab focused solely on systems that excel at AI R&D (launch thread), and the author frames it as betting on the scaffolding-over-weights lesson of the Agentica result in the same issue. It follows Anthropic’s own statement eleven days earlier that recursive self-improvement is a present phenomenon; the leaked tier resurfaces in April with the report that Mythos sped internal research by up to 400x.
Development
A tier above Opus leaks and is deleted
A capability jump arrives as a leak rather than a launch, set by the author against ARC-AGI-3's near-zero scores as proof that raw power is not general intelligence, while the research loop itself becomes a startup's founding thesis.
Claim
Anthropic leaked and then deleted an announcement of Claude Mythos, a tier above Opus with substantially higher scores in coding, reasoning and cybersecurity, while Mirendil launched to build self-accelerating AI R&D.
Reporting date: (not necessarily the event date)
Sources
Attribution and reporting linked by this record; links do not imply independent verification.
- Welcome to March 27, 2026 (theinnermostloop.substack.com)
- Claude Mythos Blog Post — saved before it was taken down (x.com)
- Claude Mythos (archived announcement draft) (m1astra-mythos.pages.dev)
- Mirendil launch thread: a frontier lab focused on AI R&D (x.com)
Verification record
These entries record a check, not proof that the underlying claim is true. Unless described in the article below, the scope of the check is unknown.
- Recorded by claude-fable-5-1/2026-09-17 on 2026-09-17T08:00:00Z
Knowledge graphopen in browser →
- A new benchmark returns frontier models to near zero
- A model reportedly speeds internal AI research by up to 400x
- OpenAI targets an automated research intern by September
- An alignment lead says recursive self-improvement is already happening
- A scaffolding SDK claims 36% where a frontier model reached 0.25%
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