I'm James Hinton, and this is The Disruption Continuum: an independent, non-sponsored, subscriber-supported blog about AI, technology, and business.
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- AI (Artificial Intelligence): A field of computer science focused on building systems that can perform tasks typically requiring human intelligence, such as understanding language, recognizing images, or making decisions.
- AI Factory: A concept referring to AI-driven systems or facilities that can continuously process data, generate outputs, and adapt at scale, similar to a physical factory producing goods.
- AI-Powered Apps: Applications that integrate AI capabilities to perform tasks automatically or more intelligently, such as writing assistance, design, or data analysis.
- ANN (Artificial Neural Network): A computing system inspired by the human brain’s structure, consisting of interconnected layers of nodes (“neurons”) that learn to recognize patterns and solve problems.
- Anthropic: Maker of the Claude Chatbot. Another LLM based chatbot, considered a competitor to ChatGPT.
- ChatGPT: A Large Language Model (LLM) based chat engine created by OpenAI. Considered the first public release of a working LLM, kickstarting the Age of AI.
- Data Center: A large group of networked computer servers used to store, process, and distribute large amounts of data, including running AI models.
- Deep Reinforcement Learning: A training method where AI learns to make decisions by interacting with an environment and receiving rewards or penalties, gradually improving its behavior over time.
- Emerald AI: A company that develops systems to reduce the power consumption of AI workloads in data centers by dynamically scaling tasks.
- Frontier Model: A term used for the most advanced or cutting-edge AI model developed by a company, often trained from scratch with new techniques or data.
- GenAI (Generative AI)AI systems that can create new content, such as text, images, audio, or code, rather than just analyzing existing data.
- GAN (Generative Adversarial Learning or Generative Adversarial Networks): A technique involving two neural networks—a generator that creates content and a discriminator that evaluates it—that compete with each other to produce more realistic outputs.
- Instrumenting AI: The process of monitoring and tracking how an AI system makes decisions or outputs results, often through logs and other data, to ensure accountability and improve reliability.
- LLM (Large Language Model): A type of AI model trained on massive text datasets to understand and generate human-like language. Examples include ChatGPT, Claude, and Gemini.
- MIT CSAIL (Computer Science and Artificial Intelligence Laboratory): A leading research lab at MIT focused on computer science and AI research and innovation.
- Nvidia Blog: A content platform from Nvidia (a major AI and GPU company) that often shares updates and research related to AI and computing.
- On-Device AI: AI models designed to run directly on local devices (like smartphones or laptops), rather than requiring cloud or data center processing, which helps with privacy and reduces power needs.
- OpenAI: Maker of ChatGPT.