Definition: Output from generative AI systems favouring quantity over quality, such as low-quality, cheaply produced AI-generated content. Identifying “Slop” in Code AI Slop is code that looks like code, runs like code, but is actually garbage. The Vibe Coding Danger The speed of vibe coding makes Slop dangerous. You can generate 1,000 lines of Slop…
Definition: A training approach where algorithms selectively choose which data to learn from, valuable when labelled examples are scarce or expensive. The Concept In traditional ML, you throw all data at the model. In Active Learning, the model is smart enough to say, “I already know what a cat looks like. Show me more examples…
Definition: Mathematical functions enabling neural networks to learn nonlinear relationships between features and labels, including ReLU, sigmoid, and tanh. What Are They? In a neural network, an activation function is the mathematical “gatekeeper” at the end of a neuron. It decides whether the neuron should “fire” (activate) or not based on the input. Without them,…
Definition: The process of removing physical, spatial, or temporal details from objects or systems to focus on other aspects of interest. The Evolution of Coding Abstraction In the early days, we managed memory addresses (Assembly). Then we managed variables (C). Then objects (Java). Then functions (Python). Vibe Coding represents the next layer of abstraction: Natural…
Definition: A form of logical inference starting with observations to find the simplest and most likely explanation, yielding plausible conclusions without positive verification. What is Abductive Reasoning? Abductive reasoning is often called “inference to the best explanation.” Unlike deduction (which guarantees truth) or induction (which estimates probability from frequency), abduction makes a leap to the…
Definition: A high-level knowledge-representation framework enabling problem-solving through abductive reasoning by allowing predicates to be incompletely defined. Abductive Logic Programming (ALP): How AI Guesses Your Intent Beyond Deduction and Induction Most traditional programming is deductive: “If A, then B.” You write the rules, and the computer follows them. Machine Learning is often inductive: “Here is…
Definition: A technique for evaluating feature importance by temporarily removing a component from a model and retraining to observe performance changes, helping identify critical system elements. Understanding Ablation in the Context of AI Coding In machine learning research, “ablation” refers to surgically removing parts of a neural network (like a layer or a specific input…
Definition: Interface option in vibe coding platforms that allows developers to selectively approve or decline AI-suggested code changes, maintaining code quality while leveraging AI assistance. The Core of the “Human-in-the-Loop” Workflow In the era of vibe coding, the “Accept/Reject” mechanism isn’t just a UI button—it is the primary gatekeeper of code quality. As AI tools…