An educational crypto, finance, and AI vocabulary puzzle about blockchain settlement, market structure, agent context, and model efficiency.
Onchain Settlement
These terms cover completion, irreversibility, inclusion, and short-range chain history changes.
SettlementFinalityConfirmationReorg
- Settlement: Settlement is the stage where assets or obligations are formally completed.
- Finality: Finality means a blockchain state is treated as effectively permanent.
- Confirmation: Confirmation is evidence that a transaction has been included in a block.
- Reorg: A reorg happens when a blockchain replaces part of its recent history with a different branch.
Market Depth
These terms cover available size, the bid-ask gap, execution drift, and tradability.
- Depth: Market depth is the amount of buy or sell interest available near the current price.
- Spread: The spread is the difference between the best bid and best ask.
- Slippage: Slippage is the difference between the expected trade price and the actual fill.
- Liquidity: Liquidity is how easily an asset can be bought or sold without moving price much.
Agent Memory
These terms cover context limits, fetching references, external actions, and stored recall.
- Context Window: The context window is the maximum amount of text a model can consider at once.
- Retrieval: Retrieval fetches relevant documents or data so an AI system can use them.
- Tool Calling: Tool calling lets an agent ask external functions or APIs to do work.
- Memory: Memory is stored information an agent can reuse across turns or tasks.
Compute Economics
These terms cover response delay, work rate, grouped processing, and smaller-number representations.
- Latency: Latency is the time between a request and a response.
- Throughput: Throughput is how much output a system can produce over a given period.
- Batching: Batching groups multiple inputs into one processing pass.
- Quantization: Quantization compresses model numbers into lower precision to save memory and speed up inference.