LEGION I.O.T
Machine learning systems that generate, predict, and automate — from large language models to the infrastructure training them.
AI broadly means software that performs tasks normally requiring human intelligence — recognizing images, understanding language, making predictions. Machine learning is the dominant approach today: systems that improve at a task by learning patterns from data rather than following hand-written rules.
Machine learning is the broad category of pattern-learning algorithms; deep learning is a subset using layered neural networks loosely inspired by the brain; generative AI is a further subset that produces new content — text, images, code — rather than just classifying or predicting existing data.
LLMs are trained on huge amounts of text to predict what word (or token) comes next, and that simple objective turns out to produce systems capable of writing, reasoning, coding, and holding conversations — the technology behind ChatGPT, Claude, and Gemini.
Rather than answering one prompt at a time, AI agents plan multi-step tasks, call external tools, and act somewhat autonomously toward a goal — the technology direction driving both major 2026 product launches and new security concerns like agentic malware.
Training is the (extremely expensive) process of teaching a model by exposing it to data; inference is running the already-trained model to actually answer a question or complete a task. Most of the public conversation about "AI compute" is about the massive chip demand for both phases.
Modern AI models are trained on specialized chips — GPUs and custom AI accelerators — rather than ordinary processors, since the underlying math (matrix multiplication at massive scale) suits parallel hardware. Nvidia has dominated this market, though competition from custom chips is growing.
As models get more capable, researchers focus on making sure systems behave as intended and don't cause unintended harm — an active, unresolved area of research spanning technical safety work, red-teaming, and policy.
Beyond chatbots: AI now assists with writing and reviewing code, accelerating drug discovery, powering customer service, generating marketing content, and increasingly running semi-autonomous business workflows end to end.