Several Asian AI startups have released models comparable to Anthropic's Mythos, such as Sakana AI's Fugu Ultra, a multi-agent orchestration system, while Anthropic's export restrictions on Mythos remain in place. This development signals a shift in AI leadership, as Asian startups begin to compete with Western frontier models, potentially reshaping global AI supply chains and prompting regulatory responses. Fugu Ultra is not a single model but a learned multi-agent orchestration system that routes tasks across a pool of underlying models, as described by OpenRouter. Early user reports indicate it can be slower and more costly than Anthropic's Opus.
Background
Anthropic's Mythos class of AI models, designed for advanced capabilities in cybersecurity and biology, has been restricted due to safety concerns and export bans. Multi-agent systems (MAS) involve multiple AI agents working together; Fugu Ultra exemplifies this approach by routing tasks to specialized models.
References
Discussion
Users on Hacker News reported mixed experiences: one found Fugu Ultra slower and more expensive than Opus, while others noted it is not a single model but a routing system. There is also skepticism about the 'Mythos-like' label, as benchmarks may not reflect real-world performance.