The hottest Terminology Substack posts right now

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Mixing Colors 101

DrawTogether with WendyMac • 1336 implied HN points • 24 Sep 23
🎨 Art & Illustration History Terminology Techniques
  1. The color wheel is the foundation of color mixing, composed of primary, secondary, and tertiary colors.
  2. Understanding the history of color theory helps to appreciate the significance of the color wheel.
  3. Primary colors (red, yellow, blue), secondary colors (orange, violet, green), and complementary colors play key roles in color mixing and relationships.

Common Terminology and Statistics Issues- Part 2

Weight and Healthcare • 738 implied HN points • 27 Dec 23
🏥 Health & Wellness Statistics Obesity Interventions Research Terminology
  1. Using percentages without proper context can be misleading, it's crucial to provide a full picture for accurate interpretation.
  2. Understanding the difference between relative and absolute risk in statistics can prevent manipulation and provide a clearer view of the data.
  3. Different methods for handling dropouts in trials, like LOCF and BOCF, can impact outcomes significantly and need careful consideration in research.

Issues with Terminology and Statistics in Weight Science - Part 1

Weight and Healthcare • 459 implied HN points • 13 Dec 23
🏥 Health & Wellness Terminology Statistics Weight loss industry
  1. The weight loss industry manipulates terminology to market weight loss as a treatment for obesity, leading to misconceptions and ineffective interventions.
  2. The term 'weight-related conditions' is often used inaccurately to imply causation, ignoring confounding variables like weight stigma and healthcare disparities.
  3. The concept of 'sustained weight loss' is sometimes misrepresented by the weight loss industry to imply success, when in reality, it often refers to temporary weight loss followed by regain.

Words Matter: How Terminology Affects User Responses to AI System Failures

UX Psychology • 198 implied HN points • 17 Nov 23
🕹 Technology AI User Experience Trust Terminology Research
  1. The specific terminology used to describe AI systems significantly impacts user perceptions and expectations.
  2. Research shows that labeling a system as 'AI' versus 'algorithmic' affects trust, satisfaction, and acceptance after errors.
  3. Transparency, explainability, and careful terminology choices are essential in maintaining user trust and satisfaction with AI systems.

Introduction to Language Learning Models (LLMs): An Informative and Approachable Guide

ScaleDown • 11 implied HN points • 07 Jun 23
🕹 Technology Artificial Intelligence Machine Learning NLP Models Terminology
  1. Before Transformers like the Transformer model, RNNs and CNNs were commonly used for sequence data but had their limitations.
  2. Tokenization is a crucial step in processing data for models like LLMs, breaking down sentences into tokens for analysis.
  3. The introduction of the Transformer model in 2017 revolutionized NLP with its attention mechanism, impacting how tokens are weighted in context.
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