Claude Fable 5 Or Mythos For The Masses

· Source: The Batch | DeepLearning.AI | AI News & Insights - www.deeplearning.ai · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Emerging Technologies & Innovation · Depth: Intermediate, quick

Summary

Anthropic launched Claude Fable 5, a new model with automatic guardrails, and Claude Mythos 5, the same model without safeguards for specific cyberdefense use cases. Both cost \$10 per million input tokens and \$50 per million output tokens. Apple released its third generation of Apple Foundation Models (AFM), including on-device 3B-parameter AFM 3 Core and 20B-parameter AFM 3 Core Advanced, plus cloud models like AFM 3 Cloud Pro, which runs on Nvidia GPUs in Google Cloud. Google updated Gemini 3.5 Live Translate for continuous, real-time audio translation across 70 languages, and enhanced NotebookLM with Gemini 3.5 agents for automatic source suggestions. OpenAI filed confidential SEC paperwork for a potential public offering, while Cognition introduced FrontierCode, a new benchmark assessing AI-generated code quality based on maintainer mergeability criteria.

Key takeaway

For AI Engineers evaluating new foundation models, consider Anthropic's Claude Fable 5 for general tasks or Mythos 5 for specialized, high-risk applications, noting their token costs. If you are developing on-device AI, Apple's AFM 3 Core Advanced offers a sparse architecture for larger models. Teams focused on code generation should test against Cognition's FrontierCode benchmark to ensure models produce truly mergeable, high-quality code, moving beyond simple functional correctness.

Key insights

Major AI players are rapidly advancing models, expanding capabilities, and refining evaluation methods.

Principles

Method

Google's Gemini 3.5 Live Translate uses continuous audio processing to translate speech across 70 languages, preserving speaker intonation and pacing, staying a few seconds behind the speaker.

In practice

Topics

Best for: CTO, Machine Learning Engineer, Investor, AI Scientist, AI Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Batch | DeepLearning.AI | AI News & Insights - www.deeplearning.ai.