Matt Wolfe · Video summary

Why Everyone Is Freaking Out About Mythos

In this video, Matt Wolfe discusses the release of Fable 5, a new AI model from Enthropic that boasts impressive capabilities but comes with significant safety restrictions and high costs. He breaks down both the model's strengths and weaknesses, emphasizing the mixed reactions from the community regarding its access and performance.

Matt Wolfe · June 11, 2026 · 21-min episode · 6-min read

Why Everyone Is Freaking Out About Mythos

Key takeaways

The new Fable 5 model from Enthropic is a Mythos class model that outperforms previous models, achieving a 91 out of 100 on senior engineer benchmarks compared to 63 for Opus 4.8.
Fable 5 is priced at $10 per million input tokens and $50 per million output tokens, making it about twice as expensive as Opus, and it consumes a significant number of tokens for tasks.
Fable 5 has safety restrictions that limit its responses in sensitive areas like biology and cybersecurity, often handing off to a weaker model, Opus 4.8, for benign requests, causing user frustration.
The release of Fable 5 has sparked a debate about power concentration in AI, with concerns that access to advanced models is restricted to a privileged few, limiting open science and competition.
Fable 5 has demonstrated impressive capabilities, such as completing a 50 million-line Ruby codebase migration in one day, showcasing its potential for handling large, complex tasks efficiently.
If you're on an Anthropic paid plan, make sure to test Fable 5 before June 22nd, as it will require usage credits after that date.

Chapters

0:00🆕 Introduction to Claude Fable 5
0:43📊 Overview of Fable 5 Features
2:32💵 Pricing and Access
3:56❓ Clarifying Misinformation
6:48👍 Positive Use Cases
11:41⚠️ Downsides of Fable 5
13:23🚫 Safety Measures and Limitations
20:10🔍 Benchmarking Concerns
23:50📈 Performance in Leaderboards
26:38🧪 Testing Fable 5
33:20🤖 Conclusion and Summary

The digest

High-Level Overview

Anthropic recently released Claude Fable 5, a next-generation AI language model hailed by some as a leap toward AGI and criticized by others for restrictive safety controls and gatekeeping. This model belongs to Anthropic’s new Mythos tier—an advanced class above their previous Opus models—and promises powerful capabilities especially suited for complex, long-duration tasks. Yet, it also triggers strong debate due to its high cost, token consumption, strict content filtering, and limited access to its unrestricted version. This analysis breaks down the model’s capabilities, limitations, controversies, and practical potential, offering clarity for developers, AI enthusiasts, and enterprise users navigating this evolving landscape.