Anthropic's Claude Mythos AI model revealed in data leak, described as 'step change' in capabilities

What was leaked
A data leak from an unsecured, publicly-searchable data store revealed that Anthropic is developing and testing a new AI model called Claude Mythos. The leak included approximately 3,000 unpublished assets linked to Anthropic's blog, including what appeared to be a draft blog post announcing the new model.
Model details from the source
According to the leaked documents:
- The model is called "Claude Mythos" and is also referred to as "Capybara," which Anthropic describes as "a new name for a new tier of model: larger and more intelligent than our Opus models."
- Capybara represents a new tier above Opus in Anthropic's model hierarchy (which currently includes Opus as the largest/most capable, Sonnet as faster/cheaper, and Haiku as smallest/fastest).
- Compared to Claude Opus 4.6, Capybara gets "dramatically higher scores on tests of software coding, academic reasoning, and cybersecurity, among others."
- The draft blog post describes Claude Mythos as "by far the most powerful AI model we've ever developed."
- Anthropic considers this model "a step change and the most capable we've built to date."
Current status and rollout
The model is currently being trialed by "early access customers" as part of a cautious rollout strategy. According to the source material:
- The model is expensive to run and not yet ready for general release
- Anthropic is "being deliberate about how we release it" due to the strength of its capabilities
- The company is working with "a small group of early access customers to test the model"
- The leak also revealed details of a planned, invite-only CEO summit in Europe as part of Anthropic's drive to sell AI models to large corporate customers
Security implications
The draft blog post indicated that the company believes Claude Mythos "poses unprecedented cybersecurity risks." The leak itself resulted from what Anthropic described as "human error" in the configuration of its content management system, which made draft content publicly accessible.
Context for developers using AI coding agents
For developers who rely on AI coding assistants, this leak suggests significant improvements in coding capabilities may be coming from Anthropic. The specific mention of "dramatically higher scores on tests of software coding" indicates potential advancements that could affect tools and workflows that integrate with Claude's API.
📖 Read the full source: HN AI Agents
👀 See Also

When Everyone Has AI but the Company Still Learns Nothing: The Messy Middle of Enterprise AI Adoption
Ethan Mollick's framework shows that individual AI productivity gains don't automatically become organizational learning. The article explores why companies are stuck in a 'messy middle' where AI use is uneven, hidden, and disconnected from shared knowledge.

OpenClaw 2026.4.29 Breaks Setups: CPU Spikes, Tool Restrictions, and Fixes
OpenClaw 2026.4.29 introduces CPU spikes from active-run steering, restricted tool profiles breaking exec/fs commands, and stricter group chat handling. Rollback or apply targeted fixes.

Claude Code v2.1.193: New Shell Classification, Telemetry, and Fixes
Claude Code v2.1.193 adds autoMode.classifyAllShell to route all shell commands through the classifier, new OpenTelemetry log events, live file path autocomplete in bash mode, and fixes for background agents and MCP auth.

Yann LeCun at UN: Open-Source AI Is the Only Way Forward for Global Sovereignty
At UN Open Source Week, Yann LeCun argued that proprietary AI is too expensive and centralized, proposing a federated open-source platform called Project Tapestry where nations contribute data via parameter vectors without sharing raw data.