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We should start building fiscal insurance for the AI era

Policymakers should begin developing fiscal insurance options, such as modernized adjustment assistance and expanded capital ownership, to mitigate the potential risks of large-scale worker displacement and increased income inequality caused by artificial intelligence.

We should start building fiscal insurance for the AI era

We haven't written up this one. The Hill has the full story — the link below goes straight to it.

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Semantic Cache in AI Tokenomics

Introduction A few weeks ago I was looking at logs for a support bot that answers the same handful of questions all day long.

  • Semantic cache addresses redundant AI model calls for semantically similar queries.
  • Semantic cache uses embeddings, similarity scores, and thresholds for meaning-based caching.

How do you catch it when a model update changes your agent's tool calls?

Your agent calls get_weather(city="London") . The provider ships a new model version. Now it calls get_weather(location="London, UK") , your downstream parser breaks, and nothing in CI told you.

  • Toolcontract library detects model update changes to tool calls
  • Golden set of expected tool calls serves as contract
  • Library supports strict, unordered, subset, superset trajectory matching

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