# Real-time knowledge

**Source:** https://promtable.com/glossary/real-time-knowledge

> Real-time knowledge is an LLM's access to information from the past minutes/hours/days via live data feeds — Grok's X firehose, Perplexity's web search, ChatGPT's browse — separate from the model's static training cutoff.

---
Real-time knowledge is an LLM's access to information from the past minutes/hours/days via live data feeds — Grok's X firehose, Perplexity's web search, ChatGPT's browse — separate from the model's static training cutoff.

Frontier LLMs have a knowledge cutoff (the date their training data ends) that's typically 6-12 months before release. Real-time knowledge bridges this gap: Grok pulls live X (Twitter) posts, Perplexity and ChatGPT search the web, Gemini queries Google. By 2026 real-time access is table-stakes — almost every consumer chat product ships it. The implementation matters: native feeds (Grok + X) are faster but narrower; web search (Perplexity, ChatGPT, Gemini) is broader but slower and can hit paywalls or stale caches. Production agents combine both via [[tool-use]] — the model decides when to call the search tool vs answer from training data.

## When to use

- Current events, news, market data.
- Anything past the model's training cutoff.

## Common mistakes

- Trusting the model when it doesn't search — knowledge-cutoff facts can be stale by months.
- Skipping source citations — users can't verify real-time claims.

## Related terms

- [knowledge-cutoff](https://promtable.com/glossary/knowledge-cutoff)
- [ai-search-engine](https://promtable.com/glossary/ai-search-engine)
- [grounding](https://promtable.com/glossary/grounding)

*Last updated: 2026-06-01*
---

Original page: https://promtable.com/glossary/real-time-knowledge
Maintained by Promtable (https://promtable.com). Content: CC BY 4.0. Cite as "Promtable — https://promtable.com/glossary/real-time-knowledge".
Contact: info@vibecodingturkey.com.