The deployment layer surrounding a model is as important as the model's raw intelligence.

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Our reading — they may agree, disagree or merely touch the same thing. Closest first: a shared subject counts for most, then how near the wording is.

• The quality of the context given to an AI matters more than the model's inherent capability. TFTiago Forte9 Jul 2026similar wordingWriter and teacher on productivity and personal knowledge management
• The surrounding system framework and scaffolding matter more for AI agent capability than the underlying model. EYEugene Yan21 Jun 2026similar wordingMember of technical staff at Anthropic
• Harness improvements help deploy a model better, but the model's underlying intelligence remains the core driver of capability. LWLilian Weng4 Jul 2026similar wordingMachine-learning researcher
• A bigger context window does not give you a smarter model; the intelligence of the model is what decides how much of that window it can actually attend to. DHDex Horthy15 Jul 2026similar wordingFounder of the agent company HumanLayer
• What sits in a model's context is far clearer to it than its training data, which is trillions of tokens stirred into a soup of parameters. JDJeff Dean30 Jul 2026similar wordingChief Scientist at Google DeepMind and Google Research

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