1290 posts · Page 80 of 108. ← Blog
The surface a store must expose when the buyer is an AI agent, not a browser — and why it is the fintech reliability playbook wearing a new hat.
What a store must expose to sell to agents: a machine-readable product feed/catalog, agentic checkout endpoints, acceptance of delegated payment tokens, idempotency keys for retried agent calls, webhooks for async status…
Typology rules, sliding-window aggregation, alert scoring, and case management that feeds STR/SAR filing — treated as a streaming systems problem, not a compliance checkbox.
Teaches how to build AML transaction monitoring: typology rules (structuring, rapid movement, layering), sliding-window aggregation, alert scoring and deduplication, and case management feeding STR/SAR filing.
How to exchange originator and beneficiary data between crypto services before a transfer settles: counterparty discovery, IVMS101 payloads, and pre-transfer verification that gates the on-chain send.
Teaches how to implement the FATF Travel Rule between VASPs: originator/beneficiary PII exchange protocols (IVMS101, TRP/OpenVASP), counterparty VASP discovery, and pre-transfer verification before on-chain send.
Model corporate ownership as a graph, propagate percentages through the chains, handle the cycles that break naive traversal, and surface every natural person who controls more than 25 percent — with the evidence path attached.
Teaches how to compute ultimate beneficial ownership: modeling ownership as a graph, percentage-through-chain calculation, control vs ownership thresholds, and cycle handling to surface >25% beneficial owners.
How one agent routes work to specialists — and why the description field is the most important string you write.
Agent hierarchies and LLM-driven delegation: sub_agents, how the description field drives auto-transfer, and coordinator/dispatcher patterns — contrasted with deterministic workflow agents.
How to snapshot a workflow after every super-step, then rewind the same live run to an earlier checkpoint and replay from it.
Same guess-the-number graph, but RestoreCheckpoint rewinds the live run to the 6th snapshot and replays forward — no fresh workflow instance needed.
Turn agent runs into OpenTelemetry spans, block prompt injection with information-flow control, and swap model providers behind one Agent API.
Turn Microsoft Agent Framework agent runs into OpenTelemetry spans, block prompt injection with information-flow control, and swap model providers behind one Agent API.
For a decade, convolution was synonymous with computer vision. Then the transformer — the architecture that revolutionized language — was applied to images, and the vision transformer showed that attention could match or beat CNNs given enough data. It's a profound shift: the same architecture now underpins both language and vision, enabling the multimodal models that see and read at once. This post explains how transformers handle images and what their rise means.
The vision transformer treats an image as a sequence of patches and runs a standard transformer, giving global context immediately. The deep trade-off (CNN inductive bias vs ViT learning from data — ViTs win at scale) and the big consequence: one architecture now unifies vision and language, enabling multimodal AI.
There's a job that most engineers have never heard of and that many would actually enjoy: the sales engineer, or presales engineer — the technical expert who partners with salespeople to win technical deals. It's where deep technical knowledge meets customer-facing work, where you help customers solve real problems with technology rather than writing code all day, and where an engineer who can also communicate becomes genuinely rare and valuable. If you've ever wondered how technical products actually get sold to technical buyers, this role is a big part of the answer.
There's a job most engineers have never heard of and many would enjoy: the sales engineer, or presales engineer — the technical expert who partners with salespeople to win technical deals. It's where deep technical knowledge meets customer-facing work, and where an engineer who can also communicate becomes genuinely rare and valuable.
A working guide to Python's scalar types — arbitrary-precision integers, IEEE-754 floats and the 0.1 + 0.2 trap, when to reach for Decimal and Fraction, the operators that surprise you with negatives, why a boolean is secretly an integer, and how truthiness and None actually work.
A working guide to Python's scalar types — arbitrary-precision integers, IEEE-754 floats and the 0.1 + 0.2 trap, when to reach for Decimal and Fraction, the operators that surprise you with negatives, why a...
How Go's declaration forms, scope rules, and its unusual constant system fit together — including the untyped-constant model that makes numeric literals feel effortless, and the `iota` patterns that turn enums and bit-flags into a few tidy lines.
How Go's declaration forms, scope rules, and its unusual constant system fit together — including the untyped-constant model that makes numeric literals feel effortless, and the `iota` patterns that turn...
How a network authorizes on the issuer's behalf when the issuer host is unreachable — and how the books get squared afterward.
How the network authorizes on the issuer's behalf during downtime using stand-in rules and limits, then reconciles advices when the issuer returns.