Definition A subset of machine learning that uses artificial neural networks with many layers — typically three or more hidden layers — to learn hierarchical representations of data. Each layer extracts increasingly abstract features from the input, allowing the model to discover complex patterns without hand-engineered feature extraction. ‘Deep’ refers to the network’s depth, not…
The show-your-work analogy Think of chain-of-thought like a math teacher asking students to show their work, not just the final answer. A student who writes “42” gets partial credit at best. A student who shows each calculation step—identifying the problem, breaking it into parts, solving each one, and combining the results—demonstrates real understanding and catches…
Config-file trust exploitation bypasses every prompt-level defense because the attack executes before the agent begins processing user input. The Miasma worm planted five files across four AI coding agents and disabled 73 Microsoft repositories in 105 seconds.
## How smart contracts work Smart contracts operate on a simple if/then logic written in code and deployed to a blockchain. Here is the basic flow: **1. Agreement is coded.** Two or more parties define the terms of their arrangement. Those terms are translated into conditional statements—’if X happens, then do Y’—written in a programming…
## Why agent identity matters Traditional identity systems assume two categories: humans who authenticate with passwords or biometrics, and service accounts that authenticate with static API keys. AI agents break this model in four ways: 1. **Agents are autonomous.** They make decisions and take actions without a human pressing a button for each step. 2.…
Cryptocurrency is a form of digital money that uses cryptography to secure transactions, verify ownership, and control the creation of new units. Learn how Bitcoin, stablecoins, and programmable commerce work in the agentic economy.
Reinforcement learning teaches AI to align with human preferences through rewards and penalties. Learn how RLHF, DPO, GRPO, and RLVR work, why reward hacking matters, and how these techniques power the agentic economy.
The release of GPT-5.6 on July 9 alters the threat model for production stacks utilizing CrewAI, AutoGen, LangGraph, and OpenClaw. This model introduces autonomous vulnerability discovery as a default, inherited capability. Engineering teams deploying agents on this architecture must account for this shift, as the model’s capacity for exploitation persists regardless of system prompts or…
An open, internet-native payment protocol that enables instant, automatic stablecoin payments directly over HTTP, reviving the long-dormant HTTP 402 ‘Payment Required’ status code to facilitate machine-to-machine and AI-agent transactions.
At its core, prompt injection is a form of “instruction override.” When you interact with an AI, you provide a prompt—a set of instructions or a question. Prompt injection occurs when an attacker inserts their own malicious instructions into that process, tricking the model into prioritizing the attacker’s commands over the developer’s original programming. Think…