TLDR Tech / Data
The Context Problem
AI vendors monetize “context” as a billing unit, charging by token count rather than the quality or coherence of information processed, with prices varying up to 360x between major models (e.g., GPT-5.4 Pro at $180/million output tokens vs. Grok 4.1 Fast at $0.50). Expanding context windows often degrades model performance unless context is well-structured. Context engineering, neurosymbolic AI, and knowledge graphs can cut token usage by up to 80%. Invest in explicit semantic structures and context governance to avoid skyrocketing AI spend and unreliable outputs.
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