Grab the 5 prompts that get you ready for Fable 5 before it's back

2026-06-21 · Source: Nate’s Substack · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Natural Language Processing · Depth: Intermediate, quick

Summary

A review of the Fable 5 model, described as the "best model in the world" and a "10 trojan parameter model," has been released despite its current inaccessibility. The author asserts that Fable 5's capabilities will significantly shape the performance and user experience of forthcoming models, including new ChatGPT iterations expected within the next month and open-source models anticipated in the next four to six months. This review aims to prepare users for the "big model feeling" these advanced systems will offer, emphasizing the need to develop new questioning strategies to effectively interact with such massive pre-trained models. The author expresses hope for Fable 5's return, positioning its capabilities as a benchmark for future large language model developments.

Key takeaway

For Prompt Engineers and AI Product Managers preparing for the next generation of large language models, you should begin refining your prompting strategies now. The capabilities demonstrated by models like Fable 5 indicate that upcoming ChatGPT and open-source models will demand more sophisticated and nuanced questions. Start experimenting with complex prompts to fully utilize the "big model feeling" and realize the full potential of these 10-trojan parameter systems as they become available.

Key insights

Fable 5, a 10-trojan parameter model, sets a benchmark for future large language models, necessitating new interaction strategies.

Principles

• Expect "big model feeling" from future LLMs.
• Prepare for new interaction paradigms.
• Large models require different questioning.

In practice

• Anticipate advanced capabilities from new ChatGPT models.
• Look for similar performance in open-source models soon.

Topics

• Fable 5
• Large Language Models
• Prompt Engineering
• Model Capabilities
• Open-source AI
• ChatGPT

Best for: Prompt Engineer, Machine Learning Engineer, AI Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by Nate’s Substack.