A daily crypto, finance, and AI vocabulary puzzle covering settlement risk, rate concepts, retrieval pipelines, and agent execution controls.
On-Chain Risk
These terms cover cross-chain movement, data dependency, shared signing, and chain replacement events.
- Bridge: A bridge is a system that transfers assets or messages between blockchains.
- Oracle: An oracle supplies external data to a smart contract or blockchain application.
- Multisig: A multisig arrangement requires more than one signature or approval to authorize an action.
- Reorg: A reorg happens when a blockchain replaces recently accepted blocks with a different chain history.
Funding and Rates
These terms describe interest-style benchmarks, short debt, and repo plumbing in traditional finance.
Basis PointTreasury BillYield CurveRepo Market
- Basis Point: A basis point is one-hundredth of a percentage point and is commonly used for rates and spreads.
- Treasury Bill: A treasury bill is a short-term government debt instrument often used as a cash-like benchmark.
- Yield Curve: A yield curve shows how interest rates differ across bonds with different maturities.
- Repo Market: The repo market is where participants borrow cash against collateral and later repurchase the collateral.
Retrieval Basics
These terms describe tokens, representations, indexes, and ranking in retrieval-augmented systems.
TokenizerEmbeddingVector StoreReranker
- Tokenizer: A tokenizer breaks text into tokens that a language model can process.
- Embedding: An embedding is a numeric representation that captures semantic meaning in a compact form.
- Vector Store: A vector store holds embeddings so similar items can be retrieved efficiently.
- Reranker: A reranker reorders retrieved candidates to improve the final result quality.
Agent Runtime
These terms cover tool use, isolation, testing, and saved context in agent workflows.
- Tool Calling: Tool calling is the act of invoking a function, API, or service from an AI workflow.
- Sandbox: A sandbox is a controlled environment that limits what code or an agent can affect.
- Evals: Evals are repeatable tests used to measure whether a model or agent behaves as expected.
- Memory: Memory is stored context that can help an agent reuse facts or preferences later.