The Keskin Report: Models Die, But Your Product Shouldn't

Quick summary

Production LLMs are reaching end-of-life and vendors are sunsetting models, forcing teams to build migration frameworks they've been avoiding. A new ArXiv paper outlines the unsexy but critical infrastructure — confidence scoring, behavioral parity testing, rollback protocols — needed to survive model deprecation without rebuilding your entire stack.

Why it matters

If your product relies on a specific LLM version and you don't have a migration plan, you're one vendor announcement away from either rebuilding core systems or watching your inference costs spike. The frameworks in this paper aren't optional anymore — they're the difference between a smooth transition and emergency engineering.

Key takeaways

• ›A new framework for migrating production LLMs treats model changes like database migrations — essential infrastructure work most startups skip.
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• ›Apple's chip shortage warning signals broader supply-chain pain for any hardware or edge AI startup; lock in components now or face delays.