What does "real-time data" actually mean for an LLM?
Large language models are trained on a fixed snapshot of data with a knowledge cutoff, so on their own they cannot know what happened today. "Real-time" capability comes from one of two mechanisms: a **native data integration** (the model provider wires the model directly into a live data source) or **tool use** (the model is given a browse/search tool it calls on demand to fetch current pages). The distinction matters because it changes freshness, coverage, and how well you can trust the citations.
Grok 4's headline differentiator is native, first-party access to **X (formerly Twitter)** — the same platform xAI is built alongside. That makes it strong for questions about what people are posting *right now*. GPT-5.5 does not have a proprietary social firehose; instead it reaches the open web through browsing/search tooling, which tends to give broader, more source-diverse coverage with explicit links. Neither approach is universally better — they are good at different things.