Harness improvements help deploy a model better, but the model's underlying intelligence remains the core driver of capability.

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• Having the very best AI model and harness does not result in better or faster execution and can slow teams down GOGergely Orosz19 Sept 2026similar wordingWrites The Pragmatic Engineer
• Capabilities that used to require sophisticated external harnesses are increasingly being built into the model itself. FCFrançois Chollet3 Sept 2026similar wordingCreator of the Keras deep-learning library and the ARC-AGI benchmark
• The deployment layer surrounding a model is as important as the model's raw intelligence. LWLilian Weng4 Jul 2026similar wordingMachine-learning researcher
• The one safe bet about AI is that models will improve, so what a company has to build is an organisation that gets better as models get better. DFDylan Field16 Oct 2025similar wordingCo-founder and chief executive of Figma
• When an AI lab builds both a model and a coding harness, the model is optimized for that lab's own harness first. SRSebastian Raschka27 Jun 2026similar wordingAI research engineer working on large language models

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