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Where Should a Document Live: Context, Representations, or Parameters?

To answer questions outside of their pre-training data, large language models (LLMs) need access to new information, which can be presented in the context window as documents, encoded into the model's parameters, or injected as latent representations. However, each of these methods comes with different efficiency, cost, and performance trade-offs, with no single winner. We present a controlled…

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Agentic Payments Are Growing, but Most x402 Payments Aren’t From AI Agents

The emerging infrastructure for autonomous artificial intelligence agents to spend money online may be developing faster than the agents themselves. A new analysis by blockchain intelligence company TRM Labs found that only a fraction of payments flowing through x402, one of the most prominent protocols designed for machine-to-machine…

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