NLW argues that most users are still treating the latest frontier models like minor upgrades of old ones. He lays out how upgrading prompting strategies, adopting new interaction patterns, targeting higher-leverage tasks, and building iterative refinement loops can unlock what Fable 5 and GPT-5.6 Sol are truly capable of.
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Highlights
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Shifting from instruction to reasoning partnership
NLW points to KPMG and University of Texas research showing top AI users interact with models as reasoning partners rather than mere command executors, and that this skill can be taught.
NLW discusses that the prompting strategies that worked on earlier GPT‑4 class models do not fully exploit the reasoning depth of Fable 5 and GPT‑5.6 Sol.
NLW highlights that building multi‑turn feedback loops, where each output is refined through successive prompts, is key to moving from basic Q&A to complex workflows.
NLW argues that the real power of the latest models lies not in trivial tasks but in high‑stakes, creative, or analytical work where they can act as an expert advisor.