What is the Agent-to-Agent Protocol (A2A)? The Agent-to-Agent Protocol (A2A) is an open standard that allows AI agents built by different companies or using different technologies to communicate securely and work together. Originally created by Google and now managed by the Linux Foundation [2][3], A2A provides the connective tissue for multi-agent systems where specialized agents…
What is a Token in AI? In the context of large language models (LLMs), a token is the fundamental unit of text that the model processes. It is important to distinguish these from cryptocurrency tokens; while crypto tokens represent digital assets on a blockchain, AI tokens are simply the building blocks of language for a…
What is AI Red Teaming? In the context of artificial intelligence, red teaming is a structured, proactive testing effort designed to identify flaws, security vulnerabilities, and potential risks within an AI system. It is typically conducted in a controlled environment, often through a collaborative partnership between security experts and the system’s own developers. The primary…
LLM jailbreaking is adversarial prompting that bypasses AI safety guardrails. Learn about techniques, defenses, and why it’s critical for autonomous agent security.
Anthropic’s Fable 5 pricing transition creates permanent tier-based access. Pro users get $100 credit then metered billing at $10/$50 per million tokens. What this means for agent builders.
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…
Generative AI creates new content — text, images, video, code, audio — by learning patterns from training data. Learn how transformers, diffusion models, and other architectures power modern AI systems.
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…
Sensory Inc.’s antitrust lawsuit against Google exposes the contractual lock-in that limits your smart home to three AI choices. A July 2026 ruling lets the case proceed to discovery.
AI alignment is the field of AI safety focused on ensuring AI systems behave consistently with human values, intentions, and goals.